{
  "__type": "IngestedDoc",
  "__tag": 4010,
  "_content": {
    "Notes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Raises": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Yields": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Methods": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Returns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "pvalue",
              "annotation": "float",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The sample test p-value."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "null_dist",
              "annotation": "list",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The approximated null distribution."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Helper function that calculates the p-value. See below for uses."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Receives": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warnings": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Attributes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "x, y",
              "annotation": "ndarray",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "x"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " and "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "y"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " have shapes "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "(n, p)"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " and "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "(n, q)"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "stat",
              "annotation": "float",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The sample test statistic."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "reps",
              "annotation": "int, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The number of replications used to estimate the null when using the permutation test. The default is 1000 replications."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "workers",
              "annotation": "int or map-like callable, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "If "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "workers"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is an int the population is subdivided into "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "workers"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " sections and evaluated in parallel (uses "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "multiprocessing.Pool <multiprocessing>",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "). Supply "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "-1",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " to use all cores available to the Process. Alternatively supply a map-like callable, such as "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "multiprocessing.Pool.map",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " for evaluating the population in parallel. This evaluation is carried out as "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "workers(func, iterable)",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". Requires that "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "func",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " be pickleable."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "random_state",
              "annotation": "{None, int, `numpy.random.Generator`,",
              "desc": [
                {
                  "__type": "Blockquote",
                  "__tag": 4059,
                  "children": [
                    {
                      "__type": "Paragraph",
                      "__tag": 4045,
                      "children": [
                        {
                          "__type": "CrossRef",
                          "__tag": 4002,
                          "value": "numpy.random.RandomState",
                          "reference": {
                            "__type": "RefInfo",
                            "__tag": 4000,
                            "module": "numpy",
                            "version": "*",
                            "kind": "api",
                            "path": "numpy.random.mtrand:RandomState"
                          },
                          "kind": "module"
                        },
                        {
                          "__type": "Text",
                          "__tag": 4046,
                          "value": "}, optional"
                        }
                      ]
                    }
                  ]
                },
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "If "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "seed",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is None (or "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "np.random",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "), the "
                    },
                    {
                      "__type": "CrossRef",
                      "__tag": 4002,
                      "value": "numpy.random.RandomState",
                      "reference": {
                        "__type": "RefInfo",
                        "__tag": 4000,
                        "module": "numpy",
                        "version": "*",
                        "kind": "api",
                        "path": "numpy.random.mtrand:RandomState"
                      },
                      "kind": "module"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " singleton is used. If "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "seed",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is an int, a new "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "RandomState"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " instance is used, seeded with "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "seed",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". If "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "seed",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is already a "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "Generator"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " or "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "RandomState"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " instance then that instance is used."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Extended Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Other Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    }
  },
  "_ordered_sections": [
    "Summary",
    "Extended Summary",
    "Parameters",
    "Attributes",
    "Methods",
    "Returns",
    "Yields",
    "Receives",
    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "/scipy/stats/_mgc.py",
  "item_line": 36,
  "item_type": "function",
  "aliases": [
    "scipy.stats._mgc._perm_test"
  ],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [],
    "title": [],
    "level": 0,
    "target": null
  },
  "see_also": [],
  "signature": {
    "__type": "SignatureNode",
    "__tag": 4029,
    "kind": "function",
    "parameters": [
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "x",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "y",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "stat",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "reps",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "1000"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "workers",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "-1"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "random_state",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      }
    ],
    "return_annotation": {
      "__type": "Empty",
      "__tag": 4031
    },
    "target_name": "_perm_test"
  },
  "references": null,
  "qa": "scipy.stats._mgc:_perm_test",
  "arbitrary": [],
  "local_refs": [
    "null_dist",
    "pvalue",
    "random_state",
    "reps",
    "stat",
    "workers",
    "x",
    "y"
  ]
}