






import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil





@pytest.fixture
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path / """file.csv"""
	__lowercase             =  textwrap.dedent(
	    """\
        header1,header2
        1,2
        10,20
        """					)
	with open(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase					)
	return str(lowerCamelCase					)





@pytest.fixture
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path / """malformed_file.csv"""
	__lowercase             =  textwrap.dedent(
	    """\
        header1,header2
        1,2
        10,20,
        """					)
	with open(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase					)
	return str(lowerCamelCase					)





@pytest.fixture
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path / """csv_with_image.csv"""
	__lowercase             =  textwrap.dedent(
	    F'\\n        image\n        {image_file}\n        '					)
	with open(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase					)
	return str(lowerCamelCase					)





@pytest.fixture
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path / """csv_with_label.csv"""
	__lowercase             =  textwrap.dedent(
	    """\
        label
        good
        bad
        good
        """					)
	with open(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase					)
	return str(lowerCamelCase					)





@pytest.fixture
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path / """csv_with_int_list.csv"""
	__lowercase             =  textwrap.dedent(
	    """\
        int_list
        1 2 3
        4 5 6
        7 8 9
        """					)
	with open(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase					)
	return str(lowerCamelCase					)





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  Csv()
	__lowercase             =  csv._generate_tables([[csv_file, malformed_csv_file]]					)
	with pytest.raises(lowerCamelCase				,  match="""Error tokenizing data"""					):
		for _ in generator:
			pass
	assert any(
	    record.levelname == """ERROR"""
	    and """Failed to read file""" in record.message
	    and os.path.basename(lowerCamelCase					) in record.message
	    for record in caplog.records					)





@require_pil
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	with open(lowerCamelCase				,  encoding="""utf-8"""					) as f:
		__lowercase             =  f.read().splitlines()[1]
	__lowercase             =  Csv(encoding="""utf-8"""				,  features=Features({"""image""": Image()}					)					)
	__lowercase             =  csv._generate_tables([[csv_file_with_image]]					)
	__lowercase             =  pa.concat_tables([table for _, table in generator]					)
	assert pa_table.schema.field("""image"""					).type == Image()()
	__lowercase             =  pa_table.to_pydict()["""image"""]
	assert generated_content == [{"path": image_file, "bytes": None}]





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	with open(lowerCamelCase				,  encoding="""utf-8"""					) as f:
		__lowercase             =  f.read().splitlines()[1:]
	__lowercase             =  Csv(encoding="""utf-8"""				,  features=Features({"""label""": ClassLabel(names=["""good""", """bad"""]					)}					)					)
	__lowercase             =  csv._generate_tables([[csv_file_with_label]]					)
	__lowercase             =  pa.concat_tables([table for _, table in generator]					)
	assert pa_table.schema.field("""label"""					).type == ClassLabel(names=["""good""", """bad"""]					)()
	__lowercase             =  pa_table.to_pydict()["""label"""]
	assert generated_content == [ClassLabel(names=["""good""", """bad"""]					).straint(lowerCamelCase					) for label in labels]





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  Csv(encoding="""utf-8"""				,  sep=""","""				,  converters={"""int_list""": lambda lowerCamelCase					: [int(lowerCamelCase					) for i in x.split()]}					)
	__lowercase             =  csv._generate_tables([[csv_file_with_int_list]]					)
	__lowercase             =  pa.concat_tables([table for _, table in generator]					)
	assert pa.types.is_list(pa_table.schema.field("""int_list"""					).type					)
	__lowercase             =  pa_table.to_pydict()["""int_list"""]
	assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]









from __future__ import annotations

from scipy.special import comb  # type: ignore


class        __UpperCamelCase    :







	def __init__(  self      :							int       ,				_lowerCAmelCase      :							list[tuple[float, float]]			)		-> Any:
		"""simple docstring"""







		__lowercase             =  list_of_points
		# Degree determines the flexibility of the curve.
		# Degree = 1 will produce a straight line.
		__lowercase             =  len(_lowerCAmelCase			) - 1







	def  _a   (  self      :							Tuple       ,				_lowerCAmelCase      :							float			)		-> list[float]:
		"""simple docstring"""







		assert 0 <= t <= 1, "Time t must be between 0 and 1."
		__lowercase             =  []
		for i in range(len(self.list_of_points			)			):
			# basis function for each i
			output_values.append(
			    comb(self.degree       ,				_lowerCAmelCase			) * ((1 - t) ** (self.degree - i)) * (t**i)			)
		# the basis must sum up to 1 for it to produce a valid Bezier curve.
		assert round(sum(_lowerCAmelCase			)       ,				5			) == 1
		return output_values







	def  _a   (  self      :							List[str]       ,				_lowerCAmelCase      :							float			)		-> tuple[float, float]:
		"""simple docstring"""







		assert 0 <= t <= 1, "Time t must be between 0 and 1."

		__lowercase             =  self.basis_function(_lowerCAmelCase			)
		__lowercase             =  0.0
		__lowercase             =  0.0
		for i in range(len(self.list_of_points			)			):
			# For all points, sum up the product of i-th basis function and i-th point.
			x += basis_function[i] * self.list_of_points[i][0]
			y += basis_function[i] * self.list_of_points[i][1]
		return (x, y)







	def  _a   (  self      :							Optional[int]       ,				_lowerCAmelCase      :							float = 0.01			)		-> Union[str, Any]:
		"""simple docstring"""







		from matplotlib import pyplot as plt  # type: ignore

		__lowercase             =  []  # x coordinates of points to plot
		__lowercase             =  []  # y coordinates of points to plot

		__lowercase             =  0.0
		while t <= 1:
			__lowercase             =  self.bezier_curve_function(_lowerCAmelCase			)
			to_plot_x.append(value[0]			)
			to_plot_y.append(value[1]			)
			t += step_size

		__lowercase             =  [i[0] for i in self.list_of_points]
		__lowercase             =  [i[1] for i in self.list_of_points]

		plt.plot(
		    _lowerCAmelCase       ,				_lowerCAmelCase       ,				color="""blue"""       ,				label="""Curve of Degree """ + str(self.degree			)       ,				)
		plt.scatter(_lowerCAmelCase       ,				_lowerCAmelCase       ,				color="""red"""       ,				label="""Control Points"""			)
		plt.legend()
		plt.show()


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						BezierCurve([(1, 2), (3, 5)]).plot_curve()  # degree 1
						BezierCurve([(0, 0), (5, 5), (5, 0)]).plot_curve()  # degree 2
						BezierCurve([(0, 0), (5, 5), (5, 0), (2.5, -2.5)]).plot_curve()  # degree 3

