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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/harmonydata/harmony/blob/main/Harmony_example_walkthrough.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![The Harmony Project logo](https://raw.githubusercontent.com/harmonydata/brand/main/Logo/PNG/%D0%BB%D0%BE%D0%B3%D0%BE%20%D1%84%D1%83%D0%BB-05.png)\n",
        "\n",
        "<a href=\"https://harmonydata.ac.uk\"><span align=\"left\">🌐 harmonydata.ac.uk</span></a>\n",
        "<a href=\"https://github.com/harmonydata/harmony\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/github-mark.svg\" alt=\"Harmony Python package | Github\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.linkedin.com/company/harmonydata\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/linkedin.svg\" alt=\"Harmony | LinkedIn\" width=\"21px\"/></a>\n",
        "<a href=\"https://twitter.com/harmony_data\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/x.svg\" alt=\"Harmony | X\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.instagram.com/harmonydata/\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/instagram.svg\" alt=\"Harmony | Instagram\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.facebook.com/people/Harmony-Project/100086772661697/\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/fb.svg\" alt=\"Harmony | Facebook\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.youtube.com/channel/UCraLlfBr0jXwap41oQ763OQ\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/yt.svg\" alt=\"Harmony | YouTube\" width=\"21px\"/></a>\n",
        "\n",
        "# Harmony walkthrough - Python library\n",
        "\n",
        "You can run this notebook in Google Colab: <a href=\"https://colab.research.google.com/github/harmonydata/harmony/blob/main/Harmony_example_walkthrough.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
        "\n",
        "This notebook shows how you can use Harmony to find the similarity matrix between two questionnaires from Harmony's database, and a third questionnaire which you input here (Norwegian GAD-7).\n",
        "\n",
        "Harmony is a data harmonisation tool that uses natural language\n",
        "processing to recognise where questions in questionnaires are semantically similar. Harmony is a collaboration project between [Ulster University](https://ulster.ac.uk/), [University College London](https://ucl.ac.uk/), the [Universidade Federal de Santa Maria](https://www.ufsm.br/), and [Fast Data Science](http://fastdatascience.com/).  Harmony is funded by [Wellcome](https://wellcome.org/) as part of the [Wellcome Data Prize in Mental Health](https://wellcome.org/grant-funding/schemes/wellcome-mental-health-data-prize).\n",
        "\n",
        "This walkthrough lets you compare items where questions have already been extracted from the PDFs. If you want to process PDFs, you also need to install\n",
        "Java and [Apache Tika](https://tika.apache.org/) - see the Harmony README.\n",
        "\n",
        "![my badge](https://badgen.net/badge/Status/In%20Development/orange)\n",
        "\n",
        "[![PyPI package](https://img.shields.io/badge/pip%20install-harmonydata-brightgreen)](https://pypi.org/project/harmonydata/)\n"
      ],
      "metadata": {
        "id": "dEAhNlpexeK_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Install the Harmony Python library from Pypi"
      ],
      "metadata": {
        "id": "lcG2aGGGxqZD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install sentence-transformers"
      ],
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        },
        "id": "jN5b7B-qzZlR",
        "outputId": "8e351b82-55b4-460f-ae28-6648f134e6f7"
      },
      "execution_count": null,
      "outputs": [
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          "name": "stdout",
          "text": [
            "Collecting sentence-transformers\n",
            "  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting transformers<5.0.0,>=4.6.0 (from sentence-transformers)\n",
            "  Downloading transformers-4.33.2-py3-none-any.whl (7.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (4.66.1)\n",
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            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (1.2.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (1.11.2)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (3.8.1)\n",
            "Collecting sentencepiece (from sentence-transformers)\n",
            "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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            "Building wheels for collected packages: sentence-transformers\n",
            "  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125923 sha256=0687f81295f4ce18d8eb111dcb5d1938e5d17bcd9987fb3fb06cc069ef345c66\n",
            "  Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
            "Successfully built sentence-transformers\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, huggingface-hub, transformers, sentence-transformers\n",
            "Successfully installed huggingface-hub-0.17.3 safetensors-0.3.3 sentence-transformers-2.2.2 sentencepiece-0.1.99 tokenizers-0.13.3 transformers-4.33.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pKZQAMDVxORb",
        "outputId": "f2b194d9-71c1-4f52-9e7f-4861d7c2dfbb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: click<9.0.0,>=7.1.1 in /usr/local/lib/python3.10/dist-packages (from typer<0.8.0,>=0.3.0->spacy==3.5.3->harmonydata) (8.1.7)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->spacy==3.5.3->harmonydata) (2.1.3)\n",
            "Building wheels for collected packages: langdetect, tika, wget\n",
            "  Building wheel for langdetect (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for langdetect: filename=langdetect-1.0.9-py3-none-any.whl size=993224 sha256=9bba835860ecd65cf4fef7e35226e522f47cad6f9f47d3710c77b815168680e5\n",
            "  Stored in directory: /root/.cache/pip/wheels/95/03/7d/59ea870c70ce4e5a370638b5462a7711ab78fba2f655d05106\n",
            "  Building wheel for tika (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for tika: filename=tika-2.6.0-py3-none-any.whl size=32621 sha256=3e3b2384f3cc282ca2ff22ea29f86928ee598a28d68bca7d5dcc6b3ec904c5e1\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/71/c7/b757709531121b1700cffda5b6b0d4aad095fb507ec84316d0\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9655 sha256=5561332e3015fc77df3d2a49ceff4b4ffae0ef79ca615047565353dffcd1d947\n",
            "  Stored in directory: /root/.cache/pip/wheels/8b/f1/7f/5c94f0a7a505ca1c81cd1d9208ae2064675d97582078e6c769\n",
            "Successfully built langdetect tika wget\n",
            "Installing collected packages: wget, XlsxWriter, tzdata, typer, pydantic, lxml, langdetect, tika, pandas, spacy, harmonydata\n",
            "  Attempting uninstall: typer\n",
            "    Found existing installation: typer 0.9.0\n",
            "    Uninstalling typer-0.9.0:\n",
            "      Successfully uninstalled typer-0.9.0\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 1.10.12\n",
            "    Uninstalling pydantic-1.10.12:\n",
            "      Successfully uninstalled pydantic-1.10.12\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 4.9.3\n",
            "    Uninstalling lxml-4.9.3:\n",
            "      Successfully uninstalled lxml-4.9.3\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.5.3\n",
            "    Uninstalling pandas-1.5.3:\n",
            "      Successfully uninstalled pandas-1.5.3\n",
            "  Attempting uninstall: spacy\n",
            "    Found existing installation: spacy 3.6.1\n",
            "    Uninstalling spacy-3.6.1:\n",
            "      Successfully uninstalled spacy-3.6.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "en-core-web-sm 3.6.0 requires spacy<3.7.0,>=3.6.0, but you have spacy 3.5.3 which is incompatible.\n",
            "google-colab 1.0.0 requires pandas==1.5.3, but you have pandas 2.0.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed XlsxWriter-3.0.9 harmonydata-0.5.0 langdetect-1.0.9 lxml-4.9.2 pandas-2.0.0 pydantic-1.10.7 spacy-3.5.3 tika-2.6.0 typer-0.7.0 tzdata-2023.3 wget-3.2\n"
          ]
        }
      ],
      "source": [
        "!pip install harmonydata"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Download example questionnaires"
      ],
      "metadata": {
        "id": "kD9Eqhn6y3B2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import harmony\n",
        "harmony.download_models()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 579,
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        },
        "id": "rMXqPs-ExUHY",
        "outputId": "951164c2-3d7e-42fe-82e3-b5ddcbbe4dfb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)0fe39/.gitattributes:   0%|          | 0.00/968 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "f1139232c28a4420b6146edff37e8124"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)_Pooling/config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)83e900fe39/README.md:   0%|          | 0.00/3.79k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "4b75f2d69a954ef2be6285816cc35f95"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)ce_transformers.json:   0%|          | 0.00/122 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "09eb510c66954ad793b455e01899cc25"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading pytorch_model.bin:   0%|          | 0.00/471M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d679af8967c14dcdb21183032fbdfcc8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)nce_bert_config.json:   0%|          | 0.00/53.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "34bab674e1884124bbf43c22255febf6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)tencepiece.bpe.model:   0%|          | 0.00/5.07M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6dce19a5ab26459a8c2574890b9aab9c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/239 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a5d05953329b4f45a128e5438fdddb48"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading tokenizer.json:   0%|          | 0.00/9.08M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading unigram.json:   0%|          | 0.00/14.8M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "f4091b8a3e714fa89dcfc2df0c1f650a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)900fe39/modules.json:   0%|          | 0.00/229 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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              "model_id": "0fbd3c5cd1b940ceb0d15ffc96acabff"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading spaCy models to /root/harmony.\n",
            "Set environment variable HARMONY_SPACY_PATH if you want to change model file location.\n",
            "Downloading https://harmonyapistorage.z33.web.core.windows.net/harmony_spacy_models.tar.bz2 to /root/harmony/harmony_spacy_models.tar.bz2...\n",
            "Downloaded https://harmonyapistorage.z33.web.core.windows.net/harmony_spacy_models.tar.bz2 to /root/harmony/harmony_spacy_models.tar.bz2.\n",
            "Unzipping /root/harmony/harmony_spacy_models.tar.bz2...\n",
            "\tWrote models to /root/harmony\n",
            "Deleting /root/harmony/harmony_spacy_models.tar.bz2...\n",
            "Deleted /root/harmony/harmony_spacy_models.tar.bz2.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from harmony.schemas.requests.text import Instrument, Question\n",
        "questions = []\n",
        "questions.append(Question(question_text=\"Følt deg nervøs, engstelig eller veldig stresset\", question_no = \"1\"))\n",
        "questions.append(Question(question_text=\"Ikke klart å slutte å bekymre deg eller kontrolleren bekymringene dine\", question_no = \"2\"))\n",
        "\n",
        "gad_7_norwegian = Instrument(questions=questions, instrument_name=\"GAD-7 Norwegian\")"
      ],
      "metadata": {
        "id": "s36pur0v6InB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "instruments = harmony.example_instruments[\"CES_D English\"], harmony.example_instruments[\"GAD-7 Portuguese\"], gad_7_norwegian\n"
      ],
      "metadata": {
        "id": "mujvuUjrxV1G"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "questions, similarity, query_similarity, new_vectors_dict = harmony.match_instruments(instruments)"
      ],
      "metadata": {
        "id": "FOHRcHrl6K7I"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "See the questions"
      ],
      "metadata": {
        "id": "g3nhELT60CNy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for q in questions:\n",
        "  print (q.question_text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YinOWR8oxXRu",
        "outputId": "76c04104-7824-4c9c-a034-b410ab2a635d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "I was bothered by things that usually don’t bother me.\n",
            "I did not feel like eating; my appetite was poor.\n",
            "I felt that I could not shake off the blues even with help from my family or friends.\n",
            "I felt I was just as good as other people.\n",
            "I had trouble keeping my mind on what I was doing.\n",
            "I felt depressed.\n",
            "I felt that everything I did was an effort.\n",
            "I felt hopeful about the future.\n",
            "I thought my life had been a failure.\n",
            "I felt fearful.\n",
            "My sleep was restless.\n",
            "I was happy.\n",
            "I talked less than usual.\n",
            "I felt lonely.\n",
            "People were unfriendly.\n",
            "I enjoyed life.\n",
            "I had crying spells.\n",
            "I felt sad.\n",
            "I felt that people dislike me.\n",
            "I could not get “going.”\n",
            "Sentir-se nervoso/a, ansioso/a ou muito tenso/a\n",
            "Não ser capaz de impedir ou de controlar as preocupações\n",
            "Preocupar-se muito com diversas coisas\n",
            "Dificuldade para relaxar\n",
            "Ficar tão agitado/a que se torna difícil permanecer sentado/a\n",
            "Ficar facilmente aborrecido/a ou irritado/a\n",
            "Sentir medo como se algo horrível fosse acontecer\n",
            "Følt deg nervøs, engstelig eller veldig stresset\n",
            "Ikke klart å slutte å bekymre deg eller kontrolleren bekymringene dine\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "See the similarity matrix"
      ],
      "metadata": {
        "id": "coFWB74m0K_i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "similarity"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lAdAESnBzF4s",
        "outputId": "6b082488-bbda-41f7-9c77-b5dbfbae27ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1.        ,  0.31365009,  0.3432307 , -0.26082838,  0.42788809,\n",
              "         0.34054826, -0.30748931, -0.18449384, -0.25914567,  0.31232794,\n",
              "         0.28057174, -0.28101036,  0.48577073,  0.27214031, -0.28000395,\n",
              "        -0.1989061 ,  0.28694488,  0.31094229,  0.37545967,  0.28829142,\n",
              "         0.33788017,  0.44290319,  0.43870789, -0.26580209,  0.38783192,\n",
              "         0.53001139,  0.25845853,  0.34834387,  0.4759781 ],\n",
              "       [ 0.31365009,  1.        ,  0.32531273, -0.38449687, -0.39382816,\n",
              "        -0.43607552, -0.44434263, -0.23701805, -0.46996568, -0.36608223,\n",
              "        -0.34493578, -0.29561759,  0.36299874,  0.38550648, -0.20762318,\n",
              "        -0.30174484, -0.41118521, -0.42717949, -0.3394137 ,  0.37951918,\n",
              "        -0.31706226,  0.11435866, -0.11078685, -0.19496469, -0.25027669,\n",
              "        -0.1438235 , -0.24803395, -0.2999411 , -0.12476519],\n",
              "       [ 0.3432307 ,  0.32531273,  1.        , -0.45727841,  0.36003784,\n",
              "         0.44618643, -0.42400636, -0.30709133, -0.40909897,  0.34075577,\n",
              "        -0.22367309, -0.39270998, -0.22370194,  0.32984186, -0.22401792,\n",
              "        -0.2790295 , -0.40553121,  0.39803227,  0.33332522,  0.50227269,\n",
              "        -0.24738986,  0.36895731, -0.22465807, -0.30274133,  0.29955811,\n",
              "        -0.24200862, -0.31366705, -0.26206924,  0.30112577],\n",
              "       [-0.26082838, -0.38449687, -0.45727841,  1.        , -0.45695771,\n",
              "        -0.42277966,  0.38703221,  0.30366164, -0.52268367, -0.39910981,\n",
              "        -0.23776198,  0.51633246, -0.34108038, -0.37672051, -0.36340255,\n",
              "         0.43201059, -0.35038494, -0.4186763 , -0.48912956, -0.33474515,\n",
              "        -0.2370714 , -0.11974314, -0.18702053, -0.08848844, -0.20039011,\n",
              "        -0.18401699, -0.29761407, -0.21455045, -0.15025351],\n",
              "       [ 0.42788809, -0.39382816,  0.36003784, -0.45695771,  1.        ,\n",
              "         0.4661298 ,  0.42157175, -0.3835386 ,  0.43456741,  0.48017418,\n",
              "         0.4149682 , -0.42821846,  0.39957156,  0.31182423,  0.18711681,\n",
              "        -0.33026809,  0.38767802,  0.40536665,  0.35042649,  0.55361806,\n",
              "         0.32335713,  0.35847935,  0.39130565, -0.28819369,  0.38578531,\n",
              "         0.23091104,  0.31127458,  0.32661313,  0.40517134],\n",
              "       [ 0.34054826, -0.43607552,  0.44618643, -0.42277966,  0.4661298 ,\n",
              "         1.        ,  0.37666919,  0.37785869,  0.61059274,  0.62348796,\n",
              "         0.38905806, -0.50561312,  0.30229987,  0.63457704,  0.14138985,\n",
              "        -0.30534818,  0.72113597,  0.84969051,  0.48665361,  0.40313185,\n",
              "         0.59024593,  0.19599926,  0.37991665,  0.34379194,  0.56529065,\n",
              "         0.33655823,  0.58247679,  0.57359599,  0.33994812],\n",
              "       [-0.30748931, -0.44434263, -0.42400636,  0.38703221,  0.42157175,\n",
              "         0.37666919,  1.        ,  0.26738395, -0.44457979, -0.28049189,\n",
              "         0.17394521,  0.26792149, -0.20775772, -0.34379542, -0.06809764,\n",
              "         0.30817023,  0.32916069,  0.31908616,  0.23190966, -0.40522168,\n",
              "        -0.23172468, -0.19044648,  0.16489994, -0.1984548 , -0.24296778,\n",
              "        -0.21705444, -0.19064065, -0.22449911, -0.201212  ],\n",
              "       [-0.18449384, -0.23701805, -0.30709133,  0.30366164, -0.3835386 ,\n",
              "         0.37785869,  0.26738395,  1.        , -0.44976476,  0.35844389,\n",
              "        -0.2388482 ,  0.51280407, -0.16569632, -0.27657548, -0.1569107 ,\n",
              "         0.45722323,  0.17416227,  0.31848785, -0.13633849, -0.42640822,\n",
              "         0.32815382, -0.15540055,  0.26603858,  0.21937169, -0.15742548,\n",
              "         0.18717634,  0.32212821,  0.28922957,  0.26189335],\n",
              "       [-0.25914567, -0.46996568, -0.40909897, -0.52268367,  0.43456741,\n",
              "         0.61059274, -0.44457979, -0.44976476,  1.        ,  0.41072871,\n",
              "         0.295509  , -0.49753084,  0.29700786,  0.51359821,  0.25589218,\n",
              "        -0.55140634,  0.53985241,  0.61248382,  0.56026083,  0.35783955,\n",
              "         0.19603634, -0.15471616,  0.19667962, -0.22919048,  0.28453987,\n",
              "         0.15559262,  0.43846322,  0.17708498, -0.22263676],\n",
              "       [ 0.31232794, -0.36608223,  0.34075577, -0.39910981,  0.48017418,\n",
              "         0.62348796, -0.28049189,  0.35844389,  0.41072871,  1.        ,\n",
              "         0.48508787, -0.4534468 ,  0.32909685,  0.50117063,  0.25206488,\n",
              "        -0.27815289,  0.55329171,  0.63532132,  0.49855951,  0.5022938 ,\n",
              "         0.50900473,  0.39954062,  0.48933753, -0.20231463,  0.40028247,\n",
              "         0.19039363,  0.81144535,  0.52537473,  0.44275871],\n",
              "       [ 0.28057174, -0.34493578, -0.22367309, -0.23776198,  0.4149682 ,\n",
              "         0.38905806,  0.17394521, -0.2388482 ,  0.295509  ,  0.48508787,\n",
              "         1.        , -0.30506053,  0.27763185,  0.34661317,  0.15333631,\n",
              "        -0.26047363,  0.40100567,  0.36290116,  0.22699764,  0.39342817,\n",
              "         0.32684851, -0.17940382,  0.25595511, -0.36469051,  0.39686927,\n",
              "         0.26681695,  0.35875142,  0.29157868, -0.22916283],\n",
              "       [-0.28101036, -0.29561759, -0.39270998,  0.51633246, -0.42821846,\n",
              "        -0.50561312,  0.26792149,  0.51280407, -0.49753084, -0.4534468 ,\n",
              "        -0.30506053,  1.        , -0.31097612, -0.34956913, -0.29933195,\n",
              "         0.72797878, -0.50352936, -0.56461116, -0.37712278, -0.46562902,\n",
              "        -0.34388997, -0.13187435, -0.22374913,  0.25037226, -0.32636528,\n",
              "        -0.31785723, -0.37945633, -0.31133884, -0.18273997],\n",
              "       [ 0.48577073,  0.36299874, -0.22370194, -0.34108038,  0.39957156,\n",
              "         0.30229987, -0.20775772, -0.16569632,  0.29700786,  0.32909685,\n",
              "         0.27763185, -0.31097612,  1.        ,  0.3787866 ,  0.41018307,\n",
              "        -0.187819  ,  0.29321214,  0.36460291,  0.39526678,  0.36901566,\n",
              "         0.21580742,  0.07026059,  0.11393015,  0.14035773,  0.19217948,\n",
              "         0.28559484,  0.16641532,  0.16334554, -0.1225996 ],\n",
              "       [ 0.27214031,  0.38550648,  0.32984186, -0.37672051,  0.31182423,\n",
              "         0.63457704, -0.34379542, -0.27657548,  0.51359821,  0.50117063,\n",
              "         0.34661317, -0.34956913,  0.3787866 ,  1.        ,  0.3086249 ,\n",
              "        -0.30521088,  0.48134505,  0.66418496,  0.44118956,  0.41113252,\n",
              "         0.40972155,  0.04911555,  0.17100069,  0.25634487,  0.41587128,\n",
              "         0.31452254,  0.41761598,  0.3541458 ,  0.12544575],\n",
              "       [-0.28000395, -0.20762318, -0.22401792, -0.36340255,  0.18711681,\n",
              "         0.14138985, -0.06809764, -0.1569107 ,  0.25589218,  0.25206488,\n",
              "         0.15333631, -0.29933195,  0.41018307,  0.3086249 ,  1.        ,\n",
              "        -0.25251199,  0.16722672,  0.2300069 ,  0.45887043,  0.19634969,\n",
              "         0.09936234, -0.20750686,  0.11516763, -0.145878  ,  0.13228076,\n",
              "         0.22911309,  0.23759176,  0.06459406, -0.16103363],\n",
              "       [-0.1989061 , -0.30174484, -0.2790295 ,  0.43201059, -0.33026809,\n",
              "        -0.30534818,  0.30817023,  0.45722323, -0.55140634, -0.27815289,\n",
              "        -0.26047363,  0.72797878, -0.187819  , -0.30521088, -0.25251199,\n",
              "         1.        , -0.2864054 , -0.32981669, -0.27587001, -0.32003301,\n",
              "        -0.17854401, -0.04999808, -0.10206747,  0.30299894, -0.20539613,\n",
              "        -0.19172719, -0.22622931, -0.152549  ,  0.12608318],\n",
              "       [ 0.28694488, -0.41118521, -0.40553121, -0.35038494,  0.38767802,\n",
              "         0.72113597,  0.32916069,  0.17416227,  0.53985241,  0.55329171,\n",
              "         0.40100567, -0.50352936,  0.29321214,  0.48134505,  0.16722672,\n",
              "        -0.2864054 ,  1.        ,  0.76820666,  0.48849919,  0.38953472,\n",
              "         0.36905334, -0.17136344,  0.3342196 ,  0.27911945,  0.46396532,\n",
              "         0.22439438,  0.54269413,  0.37736889,  0.25686849],\n",
              "       [ 0.31094229, -0.42717949,  0.39803227, -0.4186763 ,  0.40536665,\n",
              "         0.84969051,  0.31908616,  0.31848785,  0.61248382,  0.63532132,\n",
              "         0.36290116, -0.56461116,  0.36460291,  0.66418496,  0.2300069 ,\n",
              "        -0.32981669,  0.76820666,  1.        ,  0.56325471,  0.42075445,\n",
              "         0.49493344,  0.11707944,  0.32410947,  0.25369584,  0.50664522,\n",
              "         0.31677538,  0.62125053,  0.44607278,  0.23771368],\n",
              "       [ 0.37545967, -0.3394137 ,  0.33332522, -0.48912956,  0.35042649,\n",
              "         0.48665361,  0.23190966, -0.13633849,  0.56026083,  0.49855951,\n",
              "         0.22699764, -0.37712278,  0.39526678,  0.44118956,  0.45887043,\n",
              "        -0.27587001,  0.48849919,  0.56325471,  1.        ,  0.31459649,\n",
              "         0.20998911,  0.14102599,  0.26335403, -0.00327042,  0.2486779 ,\n",
              "         0.24362496,  0.41831112,  0.18925073,  0.15339244],\n",
              "       [ 0.28829142,  0.37951918,  0.50227269, -0.33474515,  0.55361806,\n",
              "         0.40313185, -0.40522168, -0.42640822,  0.35783955,  0.5022938 ,\n",
              "         0.39342817, -0.46562902,  0.36901566,  0.41113252,  0.19634969,\n",
              "        -0.32003301,  0.38953472,  0.42075445,  0.31459649,  1.        ,\n",
              "        -0.27130782,  0.33279814, -0.20272216, -0.30629045,  0.38392481,\n",
              "        -0.29537457,  0.34465332, -0.24045797, -0.24517571],\n",
              "       [ 0.33788017, -0.31706226, -0.24738986, -0.2370714 ,  0.32335713,\n",
              "         0.59024593, -0.23172468,  0.32815382,  0.19603634,  0.50900473,\n",
              "         0.32684851, -0.34388997,  0.21580742,  0.40972155,  0.09936234,\n",
              "        -0.17854401,  0.36905334,  0.49493344,  0.20998911, -0.27130782,\n",
              "         1.        ,  0.42197271,  0.52886243,  0.4559259 ,  0.61878448,\n",
              "         0.62172087,  0.52241401,  0.9261098 ,  0.56801216],\n",
              "       [ 0.44290319,  0.11435866,  0.36895731, -0.11974314,  0.35847935,\n",
              "         0.19599926, -0.19044648, -0.15540055, -0.15471616,  0.39954062,\n",
              "        -0.17940382, -0.13187435,  0.07026059,  0.04911555, -0.20750686,\n",
              "        -0.04999808, -0.17136344,  0.11707944,  0.14102599,  0.33279814,\n",
              "         0.42197271,  1.        ,  0.62181957, -0.45255873, -0.49822601,\n",
              "        -0.42426875, -0.41434004,  0.54056912,  0.88075394],\n",
              "       [ 0.43870789, -0.11078685, -0.22465807, -0.18702053,  0.39130565,\n",
              "         0.37991665,  0.16489994,  0.26603858,  0.19667962,  0.48933753,\n",
              "         0.25595511, -0.22374913,  0.11393015,  0.17100069,  0.11516763,\n",
              "        -0.10206747,  0.3342196 ,  0.32410947,  0.26335403, -0.20272216,\n",
              "         0.52886243,  0.62181957,  1.        ,  0.38445373,  0.54563724,\n",
              "         0.40793584,  0.57269338,  0.63231108,  0.71673497],\n",
              "       [-0.26580209, -0.19496469, -0.30274133, -0.08848844, -0.28819369,\n",
              "         0.34379194, -0.1984548 ,  0.21937169, -0.22919048, -0.20231463,\n",
              "        -0.36469051,  0.25037226,  0.14035773,  0.25634487, -0.145878  ,\n",
              "         0.30299894,  0.27911945,  0.25369584, -0.00327042, -0.30629045,\n",
              "         0.4559259 , -0.45255873,  0.38445373,  1.        ,  0.59924502,\n",
              "        -0.48413554, -0.29542477,  0.51433256,  0.51573884],\n",
              "       [ 0.38783192, -0.25027669,  0.29955811, -0.20039011,  0.38578531,\n",
              "         0.56529065, -0.24296778, -0.15742548,  0.28453987,  0.40028247,\n",
              "         0.39686927, -0.32636528,  0.19217948,  0.41587128,  0.13228076,\n",
              "        -0.20539613,  0.46396532,  0.50664522,  0.2486779 ,  0.38392481,\n",
              "         0.61878448, -0.49822601,  0.54563724,  0.59924502,  1.        ,\n",
              "         0.56679732,  0.459182  ,  0.68737894, -0.5579238 ],\n",
              "       [ 0.53001139, -0.1438235 , -0.24200862, -0.18401699,  0.23091104,\n",
              "         0.33655823, -0.21705444,  0.18717634,  0.15559262,  0.19039363,\n",
              "         0.26681695, -0.31785723,  0.28559484,  0.31452254,  0.22911309,\n",
              "        -0.19172719,  0.22439438,  0.31677538,  0.24362496, -0.29537457,\n",
              "         0.62172087, -0.42426875,  0.40793584, -0.48413554,  0.56679732,\n",
              "         1.        ,  0.26171543,  0.55825625, -0.4773337 ],\n",
              "       [ 0.25845853, -0.24803395, -0.31366705, -0.29761407,  0.31127458,\n",
              "         0.58247679, -0.19064065,  0.32212821,  0.43846322,  0.81144535,\n",
              "         0.35875142, -0.37945633,  0.16641532,  0.41761598,  0.23759176,\n",
              "        -0.22622931,  0.54269413,  0.62125053,  0.41831112,  0.34465332,\n",
              "         0.52241401, -0.41434004,  0.57269338, -0.29542477,  0.459182  ,\n",
              "         0.26171543,  1.        ,  0.56236218, -0.48545721],\n",
              "       [ 0.34834387, -0.2999411 , -0.26206924, -0.21455045,  0.32661313,\n",
              "         0.57359599, -0.22449911,  0.28922957,  0.17708498,  0.52537473,\n",
              "         0.29157868, -0.31133884,  0.16334554,  0.3541458 ,  0.06459406,\n",
              "        -0.152549  ,  0.37736889,  0.44607278,  0.18925073, -0.24045797,\n",
              "         0.9261098 ,  0.54056912,  0.63231108,  0.51433256,  0.68737894,\n",
              "         0.55825625,  0.56236218,  1.        ,  0.68338135],\n",
              "       [ 0.4759781 , -0.12476519,  0.30112577, -0.15025351,  0.40517134,\n",
              "         0.33994812, -0.201212  ,  0.26189335, -0.22263676,  0.44275871,\n",
              "        -0.22916283, -0.18273997, -0.1225996 ,  0.12544575, -0.16103363,\n",
              "         0.12608318,  0.25686849,  0.23771368,  0.15339244, -0.24517571,\n",
              "         0.56801216,  0.88075394,  0.71673497,  0.51573884, -0.5579238 ,\n",
              "        -0.4773337 , -0.48545721,  0.68338135,  1.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "YMDJuv-q7wq9"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}