





"""simple docstring"""


from scipy.stats import spearmanr

import datasets


lowerCamelCase__						= "\nThe Spearman rank-order correlation coefficient is a measure of the\nrelationship between two datasets. Like other correlation coefficients,\nthis one varies between -1 and +1 with 0 implying no correlation.\nPositive correlations imply that as data in dataset x increases, so\ndoes data in dataset y. Negative correlations imply that as x increases,\ny decreases. Correlations of -1 or +1 imply an exact monotonic relationship.\n\nUnlike the Pearson correlation, the Spearman correlation does not\nassume that both datasets are normally distributed.\n\nThe p-value roughly indicates the probability of an uncorrelated system\nproducing datasets that have a Spearman correlation at least as extreme\nas the one computed from these datasets. The p-values are not entirely\nreliable but are probably reasonable for datasets larger than 500 or so.\n"

lowerCamelCase__						= "\nArgs:\n    predictions (`List[float]`): Predicted labels, as returned by a model.\n    references (`List[float]`): Ground truth labels.\n    return_pvalue (`bool`): If `True`, returns the p-value. If `False`, returns\n            only the spearmanr score. Defaults to `False`.\nReturns:\n    spearmanr (`float`): Spearman correlation coefficient.\n    p-value (`float`): p-value. **Note**: is only returned if `return_pvalue=True` is input.\nExamples:\n    Example 1:\n        >>> spearmanr_metric = datasets.load_metric(\"spearmanr\")\n        >>> results = spearmanr_metric.compute(references=[1, 2, 3, 4, 5], predictions=[10, 9, 2.5, 6, 4])\n        >>> print(results)\n        {'spearmanr': -0.7}\n\n    Example 2:\n        >>> spearmanr_metric = datasets.load_metric(\"spearmanr\")\n        >>> results = spearmanr_metric.compute(references=[1, 2, 3, 4, 5],\n        ...                                     predictions=[10, 9, 2.5, 6, 4],\n        ...                                     return_pvalue=True)\n        >>> print(results['spearmanr'])\n        -0.7\n        >>> print(round(results['spearmanr_pvalue'], 2))\n        0.19\n"

lowerCamelCase__						= R"\\n@book{kokoska2000crc,\n  title={CRC standard probability and statistics tables and formulae},\n  author={Kokoska, Stephen and Zwillinger, Daniel},\n  year={2000},\n  publisher={Crc Press}\n}\n@article{2020SciPy-NMeth,\n  author  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and\n            Haberland, Matt and Reddy, Tyler and Cournapeau, David and\n            Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and\n            Bright, Jonathan and {van der Walt}, St{\'e}fan J. and\n            Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and\n            Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and\n            Kern, Robert and Larson, Eric and Carey, C J and\n            Polat, {\.I}lhan and Feng, Yu and Moore, Eric W. and\n            {VanderPlas}, Jake and Laxalde, Denis and Perktold, Josef and\n            Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and\n            Harris, Charles R. and Archibald, Anne M. and\n            Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and\n            {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},\n  title   = {{{SciPy} 1.0: Fundamental Algorithms for Scientific\n            Computing in Python}},\n  journal = {Nature Methods},\n  year    = {2020},\n  volume  = {17},\n  pages   = {261--272},\n  adsurl  = {https://rdcu.be/b08Wh},\n  doi     = {10.1038/s41592-019-0686-2},\n}\n"



@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION		,	_KWARGS_DESCRIPTION )
class   __SCREAMING_SNAKE_CASE     (    datasets.Metric ):







  '''simple docstring'''


  def  __SCREAMING_SNAKE_CASE					(		self :							Any						)		->					Tuple:
        return datasets.MetricInfo(
            description=_DESCRIPTION       , citation=_CITATION       , inputs_description=_KWARGS_DESCRIPTION       , features=datasets.Features(
                {
                    "predictions": datasets.Value("float"						),
                    "references": datasets.Value("float"						),
                }						)       , reference_urls=["https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.spearmanr.html"]       , )


  def  __SCREAMING_SNAKE_CASE					(		self :							Any       , __a :							List[str]       , __a :							Dict       , __a :							List[str]=False						)		->					Union[str, Any]:
        _UpperCamelCase   :						Optional[Any]    =							spearmanr(__a       , __a						)
        if return_pvalue:
              return {"spearmanr": results[0], "spearmanr_pvalue": results[1]}
        else:
              return {"spearmanr": results[0]}







"""simple docstring"""


import builtins
import sys

from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP


lowerCamelCase__						= False
try:
  lowerCamelCase__						= _is_package_available("google.colab")
except ModuleNotFoundError:
  pass



@input.register
class   __SCREAMING_SNAKE_CASE     :







  '''simple docstring'''


  def __init__(		self :							Union[str, Any]       , __a :							str = None       , __a :							list = []						)		->					Union[str, Any]:
        _UpperCamelCase   :						Any    =							0
        _UpperCamelCase   :						Any    =							choices
        _UpperCamelCase   :						Tuple    =							prompt
        if sys.platform == "win32":
              _UpperCamelCase   :						str    =							"*"
        else:
              _UpperCamelCase   :						Dict    =							"➔ "

  def  __SCREAMING_SNAKE_CASE					(		self :							int       , __a :							Tuple       , __a :							str = ""						)		->					Dict:
        if sys.platform != "win32":
              writeColor(self.choices[index]       , 32       , __a						)
        else:
              forceWrite(self.choices[index]       , __a						)

  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple       , __a :							int						)		->					Dict:
        if index == self.position:
              forceWrite(F''' {self.arrow_char} '''						)
              self.write_choice(__a						)
        else:
              forceWrite(F'''    {self.choices[index]}'''						)
        reset_cursor()

  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]       , __a :							Direction       , __a :							int = 1						)		->					List[str]:
        _UpperCamelCase   :						Tuple    =							self.position
        if direction == Direction.DOWN:
              if self.position + 1 >= len(self.choices						):
                    return
              self.position += num_spaces
        else:
              if self.position - 1 < 0:
                    return
              self.position -= num_spaces
        clear_line()
        self.print_choice(__a						)
        move_cursor(__a       , direction.name						)
        self.print_choice(self.position						)

  @input.mark(KEYMAP["up"]						)
  def  __SCREAMING_SNAKE_CASE					(		self :							Union[str, Any]						)		->					Any:
        self.move_direction(Direction.UP						)

  @input.mark(KEYMAP["down"]						)
  def  __SCREAMING_SNAKE_CASE					(		self :							Dict						)		->					List[Any]:
        self.move_direction(Direction.DOWN						)

  @input.mark(KEYMAP["newline"]						)
  def  __SCREAMING_SNAKE_CASE					(		self :							int						)		->					str:
        move_cursor(len(self.choices						) - self.position       , "DOWN"						)
        return self.position

  @input.mark(KEYMAP["interrupt"]						)
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[Any]						)		->					Tuple:
        move_cursor(len(self.choices						) - self.position       , "DOWN"						)
        raise KeyboardInterrupt

  @input.mark_multiple(*[KEYMAP[str(__a						)] for number in range(10						)]						)
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[int]						)		->					List[str]:
        _UpperCamelCase   :						Union[str, Any]    =							int(chr(self.current_selection						)						)
        _UpperCamelCase   :						List[str]    =							index - self.position
        if index == self.position:
              return
        if index < len(self.choices						):
              if self.position > index:
                    self.move_direction(Direction.UP       , -movement						)
              elif self.position < index:
                    self.move_direction(Direction.DOWN       , __a						)
              else:
                    return
        else:
              return


  def  __SCREAMING_SNAKE_CASE					(		self :							List[Any]       , __a :							int = 0						)		->					List[Any]:
        if self.prompt:
              linebreak()
              forceWrite(self.prompt       , "\n"						)
              if in_colab:
                    forceWrite("Please input a choice index (starting from 0), and press enter"       , "\n"						)
              else:
                    forceWrite("Please select a choice using the arrow or number keys, and selecting with enter"       , "\n"						)
        _UpperCamelCase   :						int    =							default_choice
        for i in range(len(self.choices						)						):
              self.print_choice(__a						)
              forceWrite("\n"						)
        move_cursor(len(self.choices						) - self.position       , "UP"						)
        with cursor.hide():
              while True:
                    if in_colab:
                          try:
                                _UpperCamelCase   :						Union[str, Any]    =							int(builtins.input()						)
                          except ValueError:
                                _UpperCamelCase   :						int    =							default_choice
                    else:
                          _UpperCamelCase   :						Any    =							self.handle_input()
                    if choice is not None:
                          reset_cursor()
                          for _ in range(len(self.choices						) + 1						):
                                move_cursor(1       , "UP"						)
                                clear_line()
                          self.write_choice(__a       , "\n"						)
                          return choice
