




import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def        __UpperCAmelCase						(							lowerCamelCase_ :     List[str]  )       ->  str:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : Optional[int]					  =      []
			for line in lines:
						SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      re.sub(R'#.*'  ,							''  ,							lowerCamelCase_  )  # remove comments
						if line:
									filtered_lines.append(lowerCamelCase_  )
			SCREAMING_SNAKE_CASE_   : List[Any]					  =      '\n'.join(lowerCamelCase_  )

			# Make a hash from all this code
			SCREAMING_SNAKE_CASE_   : Tuple					  =      full_str.encode('utf-8'  )
			return shaaaa(lowerCamelCase_  ).hexdigest()


# get importable module names and hash for caching
UpperCamelCase__ :   Optional[Any]						=							{
    '''csv''': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    '''json''': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    '''pandas''': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    '''parquet''': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    '''arrow''': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    '''text''': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    '''imagefolder''': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    '''audiofolder''': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
UpperCamelCase__ :   Tuple						=							{
    '''.csv''': ('''csv''', {}),
    '''.tsv''': ('''csv''', {'''sep''': '''\t'''}),
    '''.json''': ('''json''', {}),
    '''.jsonl''': ('''json''', {}),
    '''.parquet''': ('''parquet''', {}),
    '''.arrow''': ('''arrow''', {}),
    '''.txt''': ('''text''', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('''imagefolder''', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('''imagefolder''', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('''audiofolder''', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('''audiofolder''', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
UpperCamelCase__ :   Tuple						=							{'''imagefolder''', '''audiofolder'''}

# Used to filter data files based on extensions given a module name
UpperCamelCase__ :   Dict[str, List[str]]						=							{}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
						_MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('''.zip''')




_MODULE_TO_EXTENSIONS["audiofolder"].append('''.zip''')









from __future__ import annotations

from scipy.special import comb  # type: ignore







class 				lowerCAmelCase_       :






				def __init__(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      list_of_points
							# Degree determines the flexibility of the curve.
							# Degree = 1 will produce a straight line.
							SCREAMING_SNAKE_CASE_   : Tuple					  =      len(snake_case__ ) - 1






				def 		snake_case	(			self      ,snake_case__ ):
							assert 0 <= t <= 1, "Time t must be between 0 and 1."
							SCREAMING_SNAKE_CASE_   : list[float]					  =      []
							for i in range(len(self.list_of_points ) ):
										# basis function for each i
										output_values.append(
										    comb(self.degree      ,snake_case__ ) * ((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(snake_case__ )      ,5 ) == 1
							return output_values






				def 		snake_case	(			self      ,snake_case__ ):
							assert 0 <= t <= 1, "Time t must be between 0 and 1."

							SCREAMING_SNAKE_CASE_   : int					  =      self.basis_function(snake_case__ )
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      0.0
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      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 		snake_case	(			self      ,snake_case__ = 0.01 ):
							from matplotlib import pyplot as plt  # type: ignore

							SCREAMING_SNAKE_CASE_   : list[float]					  =      []  # x coordinates of points to plot
							SCREAMING_SNAKE_CASE_   : list[float]					  =      []  # y coordinates of points to plot

							SCREAMING_SNAKE_CASE_   : List[str]					  =      0.0
							while t <= 1:
										SCREAMING_SNAKE_CASE_   : int					  =      self.bezier_curve_function(snake_case__ )
										to_plot_x.append(value[0] )
										to_plot_y.append(value[1] )
										t += step_size

							SCREAMING_SNAKE_CASE_   : Dict					  =      [i[0] for i in self.list_of_points]
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      [i[1] for i in self.list_of_points]

							plt.plot(
							    snake_case__      ,snake_case__      ,color='blue'      ,label='Curve of Degree ' + str(self.degree )      ,)
							plt.scatter(snake_case__      ,snake_case__      ,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



