# This file was *autogenerated* from the file /home/maria/signature_function/gaknot/signature.sage
from sage.all_cmdline import *   # import sage library

_sage_const_0 = Integer(0); _sage_const_1 = Integer(1); _sage_const_2 = Integer(2); _sage_const_36 = Integer(36); _sage_const_10 = Integer(10); _sage_const_5 = Integer(5); _sage_const_0p3 = RealNumber('0.3'); _sage_const_0p7 = RealNumber('0.7'); _sage_const_0p05 = RealNumber('0.05'); _sage_const_4 = Integer(4); _sage_const_3 = Integer(3)#!/usr/bin/env sage -python

from collections import Counter
import matplotlib.pyplot as plt
import inspect
from PIL import Image
from pathlib import Path
import warnings
from .utility import mod_one

# 9.11 (9.8)
# 9.15 (9.9)
import sys
import os


JUPYTER = 'ipykernel'
IPy_TERMINAL = 'IPython'

def get_ipython_info():
    if JUPYTER in sys.modules:
        return JUPYTER
    elif IPy_TERMINAL in sys.modules:
        return IPy_TERMINAL
    return False

global ipython_info
ipython_info = get_ipython_info()


class SignatureFunction:

    def __init__(self, values=None, counter=None, plot_title=''):

        # counter of signature jumps
        if counter is None:
            counter = Counter()
            values = values or []
            for k, v in values:
                counter[k] += v

        counter = Counter({k : v for k, v in counter.items() if v != _sage_const_0 })
        if any(k >= _sage_const_1  for k in counter.keys()):
                msg = "Signature function is defined on the interval [0, 1)."
                raise ValueError(msg)

        counter[_sage_const_0 ] += _sage_const_0 
        counter[_sage_const_1 ] += _sage_const_0 
        self.jumps_counter = counter
        self.plot_title = plot_title

    def __rshift__(self, shift):
        # A shift of the signature functions corresponds to the rotation.
        counter = Counter({mod_one(k + shift) : v \
                          for k, v in self.jumps_counter.items()})
        return SignatureFunction(counter=counter)

    def __lshift__(self, shift):
        return self.__rshift__(-shift)

    def __neg__(self):
        counter = Counter()
        counter.subtract(self.jumps_counter)
        return SignatureFunction(counter=counter)

    def __add__(self, other):
        counter = copy(self.jumps_counter)
        counter.update(other.jumps_counter)
        if self.plot_title and other.plot_title:
            title = self.plot_title + " + " + other.plot_title
        else:
            title = self.plot_title or other.plot_title
        return SignatureFunction(counter=counter, plot_title=title)

    def __sub__(self, other):
        counter = copy(self.jumps_counter)
        counter.subtract(other.jumps_counter)
        return SignatureFunction(counter=counter)

    def __mul__(self, number):
        # scalar multiplication
        counter = Counter({k : number * v \
                          for k, v in self.jumps_counter.items()})
        return SignatureFunction(counter=counter)

    def __rmul__(self, number):
        return(self.__mul__(number))

    def __eq__(self, other):
        return self.jumps_counter == other.jumps_counter

    def __str__(self):
        result = ''.join([str(jump_arg) + ": " + str(jump) + "\n"
                for jump_arg, jump in sorted(self.jumps_counter.items())])
        return result

    def __repr__(self):
        result = ''.join([str(jump_arg) + ": " + str(jump) + ", "
                for jump_arg, jump in sorted(self.jumps_counter.items())])
        return result[:-_sage_const_2 ] + "."

    def __call__(self, arg):
        # return the value of the signature function at the point arg, i.e.
        # sum of all signature jumps that occur before arg
        items = self.jumps_counter.items()
        result = [jump for jump_arg, jump in items if jump_arg < mod_one(arg)]
        return _sage_const_2  * sum(result) + self.jumps_counter[arg]

    def double_cover(self):
        # to read values for t^2
        items = self.jumps_counter.items()
        counter = Counter({(_sage_const_1  + k) / _sage_const_2  : v for k, v in items})
        counter.update(Counter({k / _sage_const_2  : v for k, v in items}))
        return SignatureFunction(counter=counter)

    def square_root(self):
        # to read values for t^(1/2)
        counter = Counter()
        for jump_arg, jump in self.jumps_counter.items():
            if jump_arg < _sage_const_1 /_sage_const_2 :
                counter[_sage_const_2  * jump_arg] = jump
        return SignatureFunction(counter=counter)

    def minus_square_root(self):
        # to read values for t^(1/2)
        items = self.jumps_counter.items()
        counter = Counter({mod_one(_sage_const_2  * k) : v for k, v in items if k >= _sage_const_1 /_sage_const_2 })
        return SignatureFunction(counter=counter)

    def is_zero_everywhere(self):
        return not any(self.jumps_counter.values())

    def extremum(self, limit=math.inf):
        max_point = (_sage_const_0 , _sage_const_0 )
        current = _sage_const_0 
        items = sorted(self.jumps_counter.items())
        for arg, jump in items:
            current += _sage_const_2  * jump
            assert current == self(arg) + jump
            if abs(current) > abs(max_point[_sage_const_1 ]):
                max_point  = (arg, current)
                if abs(current) > limit:
                    break
        return max_point

    def total_sign_jump(self):
        # Total signature jump is the sum of all jumps.
        return sum([j[_sage_const_1 ] for j in sorted(self.jumps_counter.items())])

    def plot(self, *args, **kargs):
        SignaturePloter.plot(self, *args, **kargs)


class SignaturePloter:

    @classmethod
    def plot_many(cls, *sf_list, save_path=None, title='', cols=None):

        axes_num = len(sf_list)
        if axes_num > _sage_const_36 :
            sf_list = sf_list[_sage_const_36 ]
            axes_num = _sage_const_36 
            msg = "To many functions for the plot were given. "
            msg += "Only 36 can be plotted "
            warnings.warn(msg)

            # print war, set val in conf
        cols = cols or ceil(sqrt(axes_num))
        rows = ceil(axes_num/cols)
        fig, axes_matrix = plt.subplots(rows, cols,
                                        sharex='col', sharey='row',
                                        gridspec_kw={'hspace': _sage_const_0 , 'wspace': _sage_const_0 },
                                        # sharey=True,
                                        # sharex=True,
                                        )
        for i, sf in enumerate(sf_list):
            col = i % cols
            row = (i - col)/cols
            sf.plot(subplot=True,
                     ax=axes_matrix[row][col],
                     title=sf.plot_title)

        fig.suptitle(title)
        plt.tight_layout()

        cls.show_and_save(save_path)

    @classmethod
    def plot_sum_of_two(cls, sf1, sf2, save_path=None, title=''):

        sf = sf1 + sf2
        fig, axes_matrix = plt.subplots(_sage_const_2 , _sage_const_2 , sharey=True, figsize=(_sage_const_10 ,_sage_const_5 ))

        sf1.plot(subplot=True,
                 ax=axes_matrix[_sage_const_0 ][_sage_const_1 ])

        sf2.plot(subplot=True,
                ax=axes_matrix[_sage_const_1 ][_sage_const_0 ],
                color='red',
                linestyle='dotted')

        sf.plot(subplot=True,
                ax=axes_matrix[_sage_const_0 ][_sage_const_0 ],
                color='black')

        sf1.plot(subplot=True,
                ax=axes_matrix[_sage_const_1 ][_sage_const_1 ],
                alpha=_sage_const_0p3 )

        sf2.plot(subplot=True,
                ax=axes_matrix[_sage_const_1 ][_sage_const_1 ],
                color='red', alpha=_sage_const_0p3 ,
                linestyle='dotted')

        sf.plot(subplot=True,
                ax=axes_matrix[_sage_const_1 ][_sage_const_1 ],
                color='black',
                alpha=_sage_const_0p7 ,)

        fig.suptitle(title)
        plt.tight_layout()

        cls.show_and_save(save_path)

    @classmethod
    def plot(cls, sf, subplot=False, ax=None,
             save_path=None,
             title='',
             alpha=_sage_const_1 ,
             color='blue',
             linestyle='solid',
             special_point=None,
             special_label='',
             extraticks=None,
             ylabel=''):

        if ax is None:
            fig, ax = plt.subplots(_sage_const_1 , _sage_const_1 )

        keys = sorted(sf.jumps_counter.keys())
        y = [(sf(k) + sf.jumps_counter[k]) for k in keys[:-_sage_const_1 ]]
        xmax = keys[_sage_const_1 :]
        xmin = keys[:-_sage_const_1 ]

        ax.set(ylabel=ylabel)
        ax.set(title=title)
        ax.hlines(y, xmin, xmax, color=color, linestyle=linestyle, alpha=alpha)
        if special_point is not None:
            arg, val = special_point
            extraticks = extraticks or []
            plt.xticks(list(plt.xticks()[_sage_const_0 ]) + extraticks)
            ext = sf.extremum()[_sage_const_1 ]
            ytext = ext/_sage_const_2  + _sage_const_1 /_sage_const_2 
            xtext = arg + _sage_const_1 /_sage_const_5 

            ax.annotate(special_label, xy=(arg, val), xytext=(xtext, ytext),
                        arrowprops=dict(facecolor='black', shrink=_sage_const_0p05 ,
                                        alpha=_sage_const_0p7 , width=_sage_const_2 ),)
        if subplot:
            return ax

        cls.show_and_save(save_path)

    @staticmethod
    def show_and_save(save_path):

        if save_path is not None:
            save_path = Path(save_path)
            save_path = save_path.with_suffix('.png')
            plt.savefig(save_path)

        if ipython_info == JUPYTER:
            plt.show()

        elif True:  # save_path is None:
            plt.savefig('tmp.png')
            plt.close()
            image = Image.open('tmp.png')
            image.show()
            # msg = "For interactive shell set save_path."
            # warnings.warn(msg)

    @staticmethod
    def step_function_data(sf):
        # Transform the signature jump data to a format understandable
        # by the plot function.
        result = [(k, sf.sf(k) + sf.jumps_counter[k])
                 for k in sorted(sf.jumps_counter.keys())]
        return result

    @staticmethod
    def tikz_plot(sf, save_as):
        plt_sin = plot(sin(x), (x, _sage_const_0 , _sage_const_2 *pi))
        # plt_sin.show()
        plt_sin.save("MyPic.pdf")

        return
        # Draw the graph of the signature and transform it into TiKz.
        # header of the LaTeX file
        head = inspect.cleandoc(
            r"""
            \documentclass{standalone}
            \usepackage{tikz}
            \usetikzlibrary{calc}
            \begin{document}
            \begin{tikzpicture}
            """)

        body = \
            r"""
            %A piecewise linear function is drawn over the interval.
            \draw (5,0) -- (6,-4);
            %The axes are drawn.
            \draw[latex-latex] ($(0,{-4*(2/5)}) +(0pt,-12.5pt)$) --
            ($(0,{4*(2/5)}) +(0pt,12.5pt)$) node[above right]{$y$};
            \draw[latex-latex] ($({-4*(2/5)},0) +(-12.5pt,0pt)$) --
            ($({12*(2/5)},0) +(12.5pt,0pt)$) node[below right]{$x$};
            """
        tail = \
            r"""
            \end{tikzpicture}
            \end{document}
            """
        tikzpicture = re.sub(r' +', ' ', ''.join([head, body, tail]))
        tikzpicture = re.sub(r'\n ', '\n', tikzpicture)

        with open("tmp.tex", "w") as f:
            f.write(tikzpicture)

        data = self.step_function_data()
        with open(save_as, "w") as f:
            head = \
                r"""
                \documentclass[tikz]{{standalone}}
                %\usepackage{{tikz}}
                \usetikzlibrary{{datavisualization}}
                \usetikzlibrary{{datavisualization.formats.functions}}
                %\usetikzlibrary{{calc}}
                \begin{{document}}
                \begin{{tikzpicture}}
                \datavisualization[scientific axes, visualize as smooth line,
                x axis={{ticks={{none,major={{at={{, {arg0} " as \\( {val0} \\
                %]
                """.format(arg0=str(N(data[_sage_const_0 ][_sage_const_0 ] ,digits=_sage_const_4 )), val0=str(data[_sage_const_0 ][_sage_const_0 ]))
            f.write(head)


            # f.write(", " + str(N(data[0][0],digits=4)) + " as \\(" + \
            #                          str(data[0][0]) + "\\)")
            for jump_arg, jump  in data[_sage_const_1 :_sage_const_3 ]:
                f.write(", " + str(N(jump_arg,digits=_sage_const_4 )) +
                        " as \\(" + str(jump_arg) + "\\)")
            f.write("}}}}\n")
            f.write("  ]\n")
            f.write("data [format=function]{\n")
            f.write("var x : interval [0:1];\n")
            f.write("func y = \\value x;\n")
            f.write("};\n")
                # close LaTeX enviroments
            tail = \
                r"""
                %};
                \end{tikzpicture}
                \end{document}
                """
            f.write(tail)


SignatureFunction.__doc__ = \
    """
    This simple class encodes twisted and untwisted signature functions
    of knots. Since the signature function is entirely encoded by its signature
    jump, the class stores only information about signature jumps
    in a dictionary self.jumps_counter.
    The dictionary stores data of the signature jump as a key/values pair,
    where the key is the argument at which the functions jumps
    and value encodes the value of the jump. Remember that we treat
    signature functions as defined on the interval [0,1).
    """