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  "_content": {
    "Notes": {
      "__type": "Section",
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      "children": [
        {
          "__type": "Blockquote",
          "__tag": 4059,
          "children": [
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "Direction numbers obtained using the search criterion D(6)     up to the dimension 21201. This is the recommended choice by the authors."
                }
              ]
            },
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
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                  "value": "Original data can be found at https://web.maths.unsw.edu.au/~fkuo/sobol/.     For additional details on the quantities involved, see [1]."
                }
              ]
            },
            {
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              "children": [
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                  "dt": {
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                    "children": [
                      {
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                        "value": "[1] S. Joe and F. Y. Kuo. Remark on algorithm 659: Implementing sobol's"
                      }
                    ]
                  },
                  "dd": [
                    {
                      "__type": "Paragraph",
                      "__tag": 4045,
                      "children": [
                        {
                          "__type": "Text",
                          "__tag": 4046,
                          "value": "quasirandom sequence generator. ACM Trans. Math. Softw., 29(1):49-57,         Mar. 2003."
                        }
                      ]
                    }
                  ]
                }
              ]
            },
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "The C-code generated from putting the numbers in as literals is obscenely     large/inefficient. The data file was thus packaged and save as an .npz data     file for fast loading using the following code (this assumes that the file     https://web.maths.unsw.edu.au/~fkuo/sobol/new-joe-kuo-6.21201 is present in     the working directory):"
                }
              ]
            },
            {
              "__type": "Blockquote",
              "__tag": 4059,
              "children": [
                {
                  "__type": "Paragraph",
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                  "children": [
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                      "value": "import pandas as pd         import numpy as np"
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                  ]
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                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "# read in file content         with open(\"./new-joe-kuo-6.21201\", \"r\") as f:             lines = f.readlines()"
                    }
                  ]
                },
                {
                  "__type": "Paragraph",
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                  "children": [
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                      "value": "rows = []"
                    }
                  ]
                },
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "# parse data from file line by line         for l in lines[1:]:             nums = [int(n) for n in l.replace(\""
                    }
                  ]
                }
              ]
            }
          ]
        },
        {
          "__type": "DefList",
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                "children": [
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                    "value": "\", \"\").split()]"
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                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "d, s, a = nums[:3]             vs = {f\"v{i}\": int(v) for i,v in enumerate(nums[3:])}             rows.append({\"d\": d, \"s\": s, \"a\": a, **vs})"
                    }
                  ]
                }
              ]
            }
          ]
        },
        {
          "__type": "Blockquote",
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              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "# read in as dataframe, explicitly use zero values         df = pd.DataFrame(rows).fillna(0).astype(int)"
                }
              ]
            },
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "# perform conversion         df[\"poly\"] = 2 * df[\"a\"] + 2 ** df[\"s\"] + 1"
                }
              ]
            },
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
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                  "value": "# ensure columns are properly ordered         vs = df[[f\"v{i}\" for i in range(18)]].values"
                }
              ]
            },
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "# add the degenerate d=1 column (not included in the data file)         vs = np.vstack([vs[0][np.newaxis, :], vs])         poly = np.concatenate([[1], df[\"poly\"].values])"
                }
              ]
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            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "# save as compressed .npz file to minimize size of distribution         np.savez_compressed(\"./_sobol_direction_numbers\", vinit=vs, poly=poly)"
                }
              ]
            }
          ]
        }
      ],
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      "level": 0,
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    },
    "Warns": {
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    },
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              "value": "Load direction numbers into two arrays."
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                      "value": "Direction numbers arrays to fill."
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              "name": "dtype",
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      "__type": "Empty",
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  "qa": "scipy.stats._sobol:_initialize_direction_numbers",
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