Remove old visualization

- Update default theshold
- Update how it works

classes/science/calibration_spectrum.py

@@ -0,0 +1,10 @@
+from classes.science.border import Border
+
+class CalibrationSpectrum:
+    """
+    Define spectrum border
+    """
+
+    def __init__( self , up = Border() , down = Border ):
+        self.up   = up
+        self.down = down

classes/science/plate.py

@@ -1,7 +1,14 @@
-from numpy import ndarray, argmax, max, quantile, arange, where, convolve, ones
+from numpy import ndarray, ones, argmax, arange, arctan, tan, pi, mean, max, min
 from scipy.optimize import curve_fit
+from scipy.signal import convolve, find_peaks
+from scipy.ndimage import rotate
 from classes.science.border import Border
-from function.utils import find_point, fill
+from classes.science.calibration_spectrum import CalibrationSpectrum
+from function.utils import find_point, fill, find_peak_low_high
+from function.fit import linear
+
+from logging import getLogger
+from gettext import gettext as _
 
 class Plate:
     """
@@ -10,62 +17,43 @@ class Plate:
 
     def __init__( self , data ):
         if not isinstance( data , ndarray ):
-            raise TypeError( 'data must be a ndarray' )
+            raise TypeError( _( 'data must be a ndarray' ) )
+        if len( data.shape ) != 2:
+            raise ValueError( _( 'data must be a 2d matrix' ) )
         self.data  = data
-        self.set_border()
+        self.set_border()\
+            .rotate()\
+            .set_spectrum()\
+            .set_calibration_spectrum()
 
-    def set_border( self , factor = 10 ):
+    def compress( self ):
         """
-        Set current border (without area outside the plate)
+        Compress the plate data to fit the biggest dimension in a 2000
+        pixels axis and the smallest in a 200 pixels axis at minimum.
+        Return the compressed data and the compression factor used.
         """
-        compressed = self.compress( factor )
-
-        points = self.get_points( compressed )
-        self.border = Border()
-        self.border.x.min = 0
-        self.border.x.max = compressed.shape[1] - 1
-        self.border.y.min = 0
-        self.border.y.max = compressed.shape[0] - 1
-
-        extremum = []
-
-        x_half = compressed.shape[1] // 2
-        y_half = compressed.shape[0] // 2
-        for index in range( len( points ) ):
-            point     = points[ index ]
-            point[0] -= int( compressed.shape[0] == point[0] ) # keep in
-            point[1] -= int( compressed.shape[1] == point[1] ) # range
-
-            taken_points = fill(
-                compressed,
-                point     ,
-                1000      , # intensity threshold
+        min_factor = max( self.data.shape ) // 2000 # min factor to have a side
+        # with a maximum of 1000 pixels
+        max_factor =  min( self.data.shape ) // 200 # max factor to have
+        # a side with a minimum of 100 pixel
+        if min_factor < max_factor:
+            factor = int( mean( ( max_factor , min_factor ) ) )
+        else: # the smallest side will be less than 100 pixels with the
+              # minimum compression factor
+            logger = getLogger( 'naroo reader' )
+            logger.warning( 
+                _( (
+                    'slow compression: ratio between height and width'
+                    ' is greater than 10 ({ratio:.2f})'
+                ) ).format(
+                    ratio = max( self.size() ) / min( self.size() )
                 )
-
-            x = [ taken_point[1] for taken_point in taken_points ]
-            y = [ taken_point[0] for taken_point in taken_points ]
-
-            if max( x ) < x_half:
-                if self.border.x.min < max( x ):
-                    self.border.x.min = max( x ) # biggest min
-            elif min( x ) > x_half: # elif to only accept one side
-                if self.border.x.max > min( x ):
-                    self.border.x.max = min( x ) # smallest max
-            elif max( y ) < y_half:
-                if self.border.y.min < max( y ):
-                    self.border.y.min = max( y ) # same
-            elif min( y ) >  y_half:
-                if self.border.y.max > min( y ):
-                    self.border.y.max = min( y ) # same
-
-        offset = 3
-
-        self.border.x.min += offset
-        self.border.y.min += offset
-        self.border.x.max -= offset
-        self.border.y.min -= offset
-
-        self.border.scale( factor )
+            )
+            factor = max_factor
+        return self.data[
+            : : factor,
+            : : factor,
+        ] , factor
 
     def get_points( self , compressed ):
         first_column = find_point(
@@ -116,36 +104,194 @@ class Plate:
 
         return first_column + last_column + first_line + last_line
 
-    def compress( self , factor ):
-        return self.data[
-            : : factor,
-            : : factor,
-        ]
-
     def rotate( self ):
         """
         Auto-rotate to be vertically and horizontally aligned
         """
-        maxes = max(
-            self.data[ self.border.slice() ],
-            axis = 0                        ,
-        )
-        indexes = where(
-            maxes > quantile( maxes , 0.5 )
+        indexes_max = argmax(
+            convolve(
+                self.data[
+                    1 * self.border.y.size() // 4:
+                    3 * self.border.y.size() // 4,
+                    1 * self.border.x.size() // 4:
+                    3 * self.border.x.size() // 4
+                ]                   ,
+                ones( ( 500 , 1 ) ),
+                'valid'             ,
+            )       ,
+            axis = 0,
         )
         abciss = arange(
-            self.border.x.min,
-            self.border.x.max
-        )[ indexes ]
-        indexes_max = argmax(
+            1 * self.border.x.size() // 4,
+            3 * self.border.x.size() // 4
+        )
+        fit_result = curve_fit(
+            linear     ,
+            abciss     ,
+            indexes_max,
+        )[0]
+
+        angle = arctan( fit_result[0] ) * pi / 180 # rad
+        diff  = int( # adjust height border
+            tan( angle ) * ( self.border.x.size() )
+        )
+
+        self.data = rotate(
+            self.data,
+            angle    ,
+        )
+
+        self.border.y.min -= diff
+        self.border.y.max -= diff
+
+        return self
+
+    def set_border( self ):
+        """
+        Set current border (without area outside the plate)
+        """
+        compressed , factor = self.compress()
+
+        points = self.get_points( compressed )
+        self.border = Border()
+        self.border.x.min = 0
+        self.border.x.max = compressed.shape[1] - 1
+        self.border.y.min = 0
+        self.border.y.max = compressed.shape[0] - 1
+
+        extremum = []
+
+        x_half = compressed.shape[1] // 2
+        y_half = compressed.shape[0] // 2
+        for index in range( len( points ) ):
+            point     = points[ index ]
+            point[0] -= int( compressed.shape[0] == point[0] ) # keep in
+            point[1] -= int( compressed.shape[1] == point[1] ) # range
+
+            taken_points = fill(
+                compressed,
+                point     ,
+                2000      , # intensity threshold
+            )
+
+            x = [ taken_point[1] for taken_point in taken_points ]
+            y = [ taken_point[0] for taken_point in taken_points ]
+
+            if len( x ) > 5 and len( y ) > 5:
+                if   max( x ) < x_half:
+                    if self.border.x.min < max( x ):
+                        self.border.x.min = max( x ) # biggest min
+                elif min( x ) > x_half:
+                    # elif to only accept one side
+                    if self.border.x.max > min( x ):
+                        self.border.x.max = min( x ) # smallest max
+                elif max( y ) < y_half:
+                    if self.border.y.min < max( y ):
+                        self.border.y.min = max( y ) # same
+                elif min( y ) > y_half:
+                    if self.border.y.max > min( y ):
+                        self.border.y.max = min( y ) # same
+
+        offset = 3
+
+        self.border.x.min += offset
+        self.border.y.min += offset
+        self.border.x.max -= offset
+        self.border.y.min -= offset
+
+        self.border.scale( factor )
+
+        return self
+
+    def set_calibration_spectrum( self ):
+        """
+        Set calibration sprectrum area
+        """
+        self.calibration_spectrum = CalibrationSpectrum()
+
+        def indicator( list_ , matrix ):
+            """
+            Define an indicator which define if the horizontal slice has
+            a chance to be a part of a calibration
+            """
+            avg = mean( matrix )
+            if mean( list_ ) > 0.75 * avg:
+                return 0
+            if mean( list_ ) < 0.25 * avg:
+                return 1
+            positions = where( list_ > mean( list_ ) )[0]
+            if len( positions ) < 100:
+                return 2
+            if len( positions ) > 400:
+                return 3
+            distance = mean( positions[ 1 : ] - positions[ : - 1 ] )
+            if distance < 10:
+                return 4
+            return 10
+
+        list_ = [
+            indicator(
+                self.data[
+                    i                     ,
+                    self.border.slice()[1],
+                ]                               ,
+                self.data[ self.border.slice() ],
+            ) for i in range(
+                self.border.y.min,
+                self.border.y.max,
+            )
+        ]
+        import matplotlib.pyplot as plt
+        plt.plot( list_ )
+        plt.show()
+
+        return self
+
+    def set_spectrum( self ):
+        """
+        Set spectrum area
+        """
+        self.spectrum = Border()
+        list_ = convolve(
+            mean(
+                self.data[ self.border.slice() ],
+                axis = 1                        ,
+            )          ,
+            ones( 200 ),
+            'valid'    ,
+        )
+
+        indexes = find_peak_low_high(
+            list_                           ,
+            ( max( list_ ) + mean( list_ ) ) / 2,
+        )[0]
+
+        self.spectrum.y.min = indexes[0] + self.border.y.min + 100
+        self.spectrum.y.max = indexes[1] + self.border.y.min + 100
+
+        import matplotlib.pyplot as plt
+        plt.imshow( self.data[ self.border.slice() ] , aspect = 'auto' )
+        plt.show()
+        list_ = convolve(
+            mean(
                 self.data[ self.border.slice() ],
                 axis = 0                        ,
-        )[ indexes ]
-        indexes_max = convolve(
-            indexes_max ,
-            ones( 100 ) ,
-            'same'      ,
-        ) / 100
-        import matplotlib.pyplot as plt
-        plt.plot( abciss , indexes_max )
-        plt.show()
+            )          ,
+            ones( 200 ),
+            'valid'    ,
+        )
+        indexes = find_peak_low_high(
+            list_                           ,
+            mean( list_ ) + max( list_ ) / 2,
+        )[0]
+
+        self.spectrum.x.min = indexes[0] + self.border.x.min + 100
+        self.spectrum.x.max = indexes[1] + self.border.x.min + 100
+
+        return self
+
+    def size( self ):
+        """
+        get plate size
+        """
+        return self.data.shape

classes/utils/settings.py

@@ -1,6 +1,14 @@
-from warnings import warn
+from sys import stdout, argv, executable
+from gettext import gettext as _
+from logging import getLogger, StreamHandler, FileHandler, Formatter
 from pathlib import Path
 
+_formatter = Formatter(
+    fmt   = '${levelname}:${name}:${message}',
+    style = '$'                              ,
+)
+_program_cmd = executable + ' ' + argv[0]
+
 class Settings:
     """
     Settings manager
@@ -17,12 +25,16 @@ class Settings:
         self.set_no_cache()
         self.set_output()
         self.set_verbose()
+        self.set_log_file()
         self.set_wave_cal()
 
         # configuration change
         if len( arguments ) < 1:
             raise Exception(
-                'type \'' + __file__ + ' -h\' for more information'
+                _( (
+                    'no argument given, type \'{program} -g\' for more'
+                    ' information'
+                ) ).format( program = _program_cmd )
             )
 
         index = 0
@@ -31,22 +43,25 @@ class Settings:
             if argument[0] == '-':
                 if len( argument ) < 2:
                     raise Exception(
-                        'unknown argument, type \' + __file__ + \' -h' +
-                        ' for more information'
+                        _( (
+                            'unknown argument {argument}, type '
+                            '\'{program} -h\' for more information'
+                        ) ).format(
+                            program  = _program_cmd,
+                            argument = argument    ,
+                        )
                     )
                 if argument[1] != '-':
                     if argument == '-h':
                         argument = '--help'
                     elif argument == '-V':
                         argument = '--version'
-                    elif argument == '-v':
-                        argument = '--verbose'
                     elif argument == '-n':
                         argument = '--no-cache'
                     elif argument == '-c':
                         if index == len( arguments ) - 1:
                             raise Exception(
-                                'cache have to take a value'
+                                _( 'cache have to take a value' )
                             )
                         arguments[ index + 1 ] = '--cache=' + \
                         arguments[ index + 1 ]
@@ -55,7 +70,7 @@ class Settings:
                     elif argument == '-o':
                         if index == len( arguments ) - 1:
                             raise Exception(
-                                'output have to take a value'
+                                _( 'output have to take a value' )
                             )
                         arguments[ index + 1 ] = '--output=' + \
                         arguments[ index + 1 ]
@@ -64,7 +79,10 @@ class Settings:
                     elif argument == '-w':
                         if index == len( arguments ) - 1:
                             raise Exception(
-                                'wavelength calibration have to take a value'
+                                _( (
+                                    'wavelength calibration have to take'
+                                    ' a value'
+                                ) )
                             )
                         arguments[ index + 1 ] = '--wavelength=' + \
                         arguments[ index + 1 ]
@@ -73,17 +91,44 @@ class Settings:
                     elif argument == '-i':
                         if index == len( arguments ) - 1:
                             raise Exception(
-                                'intensity calibration have to take a value'
+                                _( (
+                                    'intensity calibration have to take'
+                                    ' a value'
+                                ) )
                             )
                         arguments[ index + 1 ] = '--intensity=' + \
                         arguments[ index + 1 ]
                         index += 1
                         continue
+                    elif argument == '-l':
+                        if index == len( arguments ) - 1:
+                            raise Exception(
+                                _( (
+                                    'log file have to take a value'
+                                ) )
+                            )
+                        arguments[ index + 1 ] = '--log-file=' + \
+                        arguments[ index + 1 ]
+                        index += 1
+                        continue
+                    elif argument == '-v':
+                        if index == len( arguments ) - 1:
+                            raise Exception(
+                                _( 'verbosity level have to take a value' )
+                            )
+                        arguments[ index + 1 ] = '--verbose=' + \
+                        arguments[ index + 1 ]
+                        index += 1
+                        continue
                     else:
                         raise Exception(
-                            'unknown argument "' + argument + \
-                            '", type \'' + __file__ + \
-                            ' -h\' for more information'
+                            _( (
+                                'unknown argument {argument}, type'
+                                '\'{program} -h\' for more information'
+                            ) ).format(
+                                program  = _program_cmd,
+                                argument = argument    ,
+                            )
                         )
                 if argument[1] == '-': # not elif because argument
                                        # can change in the last if
@@ -93,10 +138,13 @@ class Settings:
                     elif argument == '--version':
                         print( self.version() )
                         exit()
-                    elif argument == '--verbose':
-                        self.set_verbose( True )
                     elif argument == '--no-cache':
                         self.set_no_cache( True )
+                    elif (
+                        len( argument ) > 10 and
+                        argument[ : 10 ] == '--verbose='
+                    ):
+                        self.set_verbose( argument[ 10 : ] )
                     elif (
                         len( argument ) > 8 and
                         argument[ : 8 ] == '--cache='
@@ -117,18 +165,34 @@ class Settings:
                         argument[ : 12 ] == '--intensity='
                     ):
                         self.set_inte_cal( argument[ 12 : ] )
+                    elif (
+                        len( argument ) > 11 and
+                        argument[ : 11 ] == '--log-file='
+                    ):
+                        self.set_log_file( argument[ 11 : ] )
                     else:
                         raise Exception(
-                            'unknown argument "' + argument + \
-                            '", type \'' + __file__ + ' -h\' ' + \
-                            'for more information'
+                            _( (
+                                'unknown argument {argument}, type'
+                                '\'{program} -h\' for more information'
+                            ) )
                         )
             else:
                 self.set_input( argument )
             index += 1
 
+            logger = getLogger( 'naroo reader' )
+            if not logger.hasHandlers():
+                handler = StreamHandler( stdout )
+                handler.setFormatter(
+                    _formatter,
+                )
+                logger.addHandler(
+                    handler,
+                )
+
         if self.input == None:
-            raise Exception( 'input should be given' )
+            raise Exception( _( 'input should be given' ) )
 
     def set_cache( self , cache = None ):
         """
@@ -142,7 +206,7 @@ class Settings:
             self.cache = cache
         else:
             raise TypeError(
-                'cache should be a path'
+                _( 'cache should be a path' )
             )
     def set_input( self , input = None ):
         """
@@ -156,11 +220,13 @@ class Settings:
             self.input = input
         else:
             raise TypeError(
-                'input should be a path'
+                _( 'input should be a path' )
             )
         if self.input != None and not self.input.is_file():
             raise IOError(
-                'could not open ' + str( self.input )
+                _( 'could not open {input}' ).format(
+                    input = self.input,
+                )
             )
 
     def set_inte_cal( self , intensity_calibration = None ):
@@ -175,11 +241,41 @@ class Settings:
             self.inte_cal = intensity_calibration
         else:
             raise TypeError(
-                'intensity calibration should be a path'
+                _( 'intensity calibration should be a path' )
             )
         if self.inte_cal != None and not self.inte_cal.is_file():
             raise IOError(
-                'could not open ' + str( self.inte_cal )
+                _( 'could not open {intensity_file}' ).format(
+                    intensity_file = self.inte_cal,
+                )
+            )
+
+    def set_log_file( self , log_file = None ):
+        """
+        Setter for log file (None or path)
+        """
+        if isinstance( log_file , str ):
+            self.log_file = Path( log_file )
+        elif isinstance( log_file , Path ):
+            self.log_file = log_file
+        elif log_file == None:
+            self.log_file = log_file
+        else:
+            raise TypeError(
+                _( 'log file should be a path' )
+            )
+
+        if self.log_file != None:
+            logger = getLogger( 'naroo reader' )
+            handler = FileHandler(
+                filename = str( log_file ),
+                mode     = 'a'            ,
+            )
+            handler.setFormatter(
+                _formatter,
+            )
+            logger.addHandler(
+                handler,
             )
 
     def set_no_cache( self , no_cache = False ):
@@ -190,7 +286,7 @@ class Settings:
             self.no_cache = no_cache
         else:
             raise TypeError(
-                'no_cache option should be a boolean'
+                _( 'no_cache option should be a boolean' )
             )
 
     def set_output( self , output = 'data.fits' ):
@@ -203,25 +299,42 @@ class Settings:
             self.output = output
         else:
             raise TypeError(
-                'output should be a path'
+                _( 'output should be a path' )
             )
         if self.output.is_file():
-            warn(
-                str( self.output ) + ' already exists, it will be ' +
-                'overwritten',
-                UserWarning  ,
+            logger = getLogger( 'naroo reader' )
+            logger.warning(
+                _(
+                    '{output} already exists, it will be overwritten'
+                ).format( output = self.output )
             )
 
-    def set_verbose( self , verbose = False ):
+    def set_verbose( self , verbose = 'WARNING' ):
         """
-        Setter for verbosity flag (bool)
+        Setter for verbose level (string)
         """
-        if isinstance( verbose , bool ):
-            self.verbose = verbose
+        if isinstance( verbose , str ):
+            self.verbose = verbose.upper()
+            if verbose not in [
+                'CRITICAL',
+                'ERROR'   ,
+                'WARNING' ,
+                'INFO'    ,
+                'DEBUG'   ,
+                'NOTSET'  ,
+            ]:
+                raise ValueError(
+                    _( (
+                        'verbose level must be one of the listed ones'
+                        'in python documentation'
+                    ) )
+                )
         else:
             raise TypeError(
-                'verbose should be a boolean'
+                _( 'verbose level should be a string' )
             )
+        logger = getLogger( 'naroo reader' )
+        logger.setLevel( self.verbose )
 
     def set_wave_cal( self , wavelength_calibration = None ):
         """
@@ -235,40 +348,40 @@ class Settings:
             self.wave_cal = wavelength_calibration
         else:
             raise TypeError(
-                'wavelength calibration should be a path'
+                _( 'wavelength calibration should be a path' )
             )
         if self.wave_cal != None and not self.wave_cal.is_file():
             raise IOError(
-                'could not open ' + str( self.wave_cal )
+                _( 'could not open {wavelength_file}' ).format(
+                    wavelength_file = self.wave_cal
+                )
             )
 
     def help( self ):
-        return '\
-naroo_reader [options...] input\
-\n    -w wavelength  wavelength calibration file, default to None.\
-\n                   None means no wavelength interpolation\
-\n    -i intensity   intensity calibration file, default to None.\
-\n                   None means no intensity interpolation\
+        return 'naroo_reader [options...] input\
 \n    -c --cache     use given cache file to store new temporary\
 \n                   data or use old ones.\
-\n    -h --help      show this help and quit\
+\n    -h --help      show this help and quit.\
+\n    -i --intensity intensity calibration file, default to None.\
+\n                   None means no intensity interpolation\
+\n    -l --log-file  file where to log event.\
 \n    -n --no-cache  do not use already existing cache file.\
 \n                   If cache is defined, the cache file will be\
 \n                   overwrited.\
-\n                   If cache is None, it does nothing\
-\n    -o --output    Output file. Default to data.fits\
-\n    -V --version   show version number and quit\
-\n    -v --verbose   show more information to help debugging\
-        '
+\n                   If cache is None, it does nothing.\
+\n    -o --output    Output file. Default to data.fits.\
+\n    -V --version   show version number and quit.\
+\n    -v --verbose   set logging level help debugging.\
+\n    -w wavelength  wavelength calibration file, default to None.\
+\n                   None means no wavelength interpolation.'
 
     def __str__( self ):
-        return '\
-current settings:\
+        return 'current settings:\
 \n    cache:                  ' + str( self.cache ) + '\
 \n    input:                  ' + str( self.input ) + '\
 \n    intensity calibration:  ' + str( self.inte_cal ) + '\
 \n    no cache flag:          ' + str( self.no_cache ) + '\
 \n    output:                 ' + str( self.output ) + '\
-\n    verbose flag:           ' + str( self.verbose ) + '\
-\n    wavelength calibration: ' + str( self.wave_cal ) + '\
-        '
+\n    logging level:          ' + str( self.verbose ) + '\
+\n    log-file:               ' + str( self.log_file ) + '\
+\n    wavelength calibration: ' + str( self.wave_cal )

function/fit.py

@@ -0,0 +1,2 @@
+def linear( x , a , b ):
+    return a * x + b

function/utils.py

@@ -1,4 +1,3 @@
-import cv2
 import numpy as np
 
 def check_side( data , point , tolerance ):
@@ -65,7 +64,7 @@ def point( index_1 , index_2 , axis = 'x' ):
         return [ index_2 , index_1 ]
     return [ index_1 , index_2 ]
 
-def find_point( list_ , index , axis = 'x' , threshold = 0.5 ):
+def find_point( list_ , index , axis = 'x' , threshold = 0.95 ):
     """
     find the index where to fill in a side
     """
@@ -80,22 +79,21 @@ def find_point( list_ , index , axis = 'x' , threshold = 0.5 ):
     if not isinstance( threshold , float ):
         raise ValueError( 'threshold must be a float, ' + type( threshold ) + ' given' )
 
-    mean = np.mean( list_ )
     ampl = np.max( list_ ) - np.min( list_ )
 
-    if ampl < mean / 2:
+    if ampl < np.mean( list_ ) / 2:
         return [ point( index , 0 , axis ) ]
     else:
         points = []
 
-        list_  = np.convolve( list_ , np.ones( 100 ) , 'same' )
+        list_  = list_.copy()
         list_ -= np.min( list_ )
         list_ /= np.max( list_ )
 
         i , inside , size = 0 , False , 0
         while i < len( list_ ):
             if list_[ i ] > threshold and not inside:
-                points.append( point( index , i , axis ) )
+                points.append( point( index , i, axis ) )
                 inside = True
                 size   = 0
             elif list_[ i ] < threshold and inside:
@@ -154,14 +152,6 @@ def last_same_value( list_ ):
         raise ValueError( 'list_ must be a list, ' + type( list_ ) + ' given' )
     value = list_[0]
     return np.argwhere( list_ == value ).max()
-def rotate( image , angle ):
-    """
-    rotate the following image by the given angle
-    """
-    height , width = image.shape[ : 2 ]
-    cX , cY        = ( width // 2 , height // 2 )
-    matrix         = cv2.getRotationMatrix2D( ( cX , cY ) , angle , 1 )
-    return cv2.warpAffine( image , matrix , ( width , height ) , flags = cv2.INTER_NEAREST )
 def retrieve_peaks( data , window_size = 5 , error_coef = 1.05 , max_window_size = 30 , min_successive = 2 ):
     """
     get peak position from a 1D data
@@ -217,3 +207,154 @@ def near_value( list_ , value ):
     ) # interpolation
     index = np.append( index , np.where( list_ == value ) )
     return np.round( np.sort( index ) ).astype( int ) # triage
+
+def find_peak_low_high( list_ , value ):
+    """
+    Return index of start and end of rise and descent of peaks crossing
+    a given value in a list
+    """
+    indexes = near_value(
+        list_,
+        value,
+    )
+    old_list_ = list_
+    list_ = np.gradient( list_ )
+    if list_[ indexes[0] ] < 0:
+        indexes.insert( 0 , 0 )
+        if list_[ indexes[0] ] < 0:
+            indexes.insert( 0 , 0 ) # start with a descent
+    if list_[ indexes[-1] ] > 0:
+        indexes.append( len( list_ ) - 1 )
+        if list_[ indexes[-1] ] > 0:
+            indexes.append( len( list_ ) - 1 ) # end with a rise
+
+    if len( indexes ) % 2 == 1:
+        raise Exception(
+            'number of peaks doesn\'t match what it should be'
+        )
+    rises    = [
+        indexes[ i ] for i in range( 0 , len( indexes ) , 2 )
+    ]
+    descents = [
+        indexes[ i ] for i in range( 1 , len( indexes ) , 2 )
+    ]
+
+    i = 0
+    start_rise = np.where( list_[ : rises[i] ] < 0 )
+    end_rise = rises[i] + np.where(
+        list_[ rises[i] : descents[i] ] < 0
+    )
+    start_descent = rises[i] + np.where(
+        list_[ rises[i] : descents[i] ] > 0
+    )
+    if len( rises ) == 1:
+        end_descent = descents[i] + np.where(
+            list_[ descents[i] : ] > 0
+        )
+    else:
+        end_descent = descents[i] + np.where(
+            list_[ descents[i] : rises[i + 1] ] > 0
+        )
+
+    if len( start_rise[0] ) == 0:
+        rise_starts = [ 0 ]
+    else:
+        rise_starts = [ start_rise[0][-1] ]
+    if len( end_rise[0] ) == 0:
+        rise_ends = [ rise_starts[0] ] # if first is a descent
+    else:
+        rise_ends = [ end_rise[0][0] ]
+    if len( start_descent[0] ) == 0:
+        descent_starts = [ rise_ends[0] ] # same
+    else:
+        descent_starts = [ start_descent[0][-1] ]
+    if len( end_descent[0] ) == 0:        # edge case:
+        descent_ends = [ descent_starts[0] ] # one pixel decrease
+    else:
+        descent_ends = [ end_descent[0][0] ]
+
+    while i < len( rises ) - 2: # last is i == len( rises ) - 2, works
+                                # if len( rises ) = 1 or 2
+        i += 1
+        start_rise = descents[i - 1 ] + np.where(
+            list_[ descents[i - 1] : rises[i] ] < 0
+        )
+        end_rise = rises[i] + np.where(
+            list_[ rises[i] : descents[i] ] < 0
+        )
+        start_descent = rises[i] + np.where(
+            list_[ rises[i] : descents[i] ] > 0
+        )
+        end_descent = descents[i] + np.where(
+            list_[ descents[i] : rises[i + 1] ] > 0
+        )
+
+        if len( start_rise[0] ) == 0:
+            rise_starts.append( descent_ends[-1] )
+        else:
+            rise_starts.append(
+                start_rise[0][-1] # last pixel that decrease
+            )
+        if len( end_rise[0] ) == 0:
+            rise_ends.append( rise_starts[-1] )
+        else:
+            rise_ends.append(
+                end_rise[0][0] # first pixel that decrease
+            )
+        if len( start_descent[0] ) == 0:
+            descent_starts.append( rises_ends[-1] )
+        else:
+            descent_starts.append(
+                start_descent[0][-1] # last pixel that increase
+            )
+        if len( end_descent[0] ) == 0:
+            descent_ends.append( descent_starts[-1] )
+        else:
+            descent_ends.append(
+                end_descent[0][0] # first pixel that increase
+            )
+    if i != 0 or len( rises ) != 1:
+        i += 1
+        start_rise = descents[i - 1] + np.where(
+            list_[ descents[i - 1] : rises[i] ] < 0
+        )
+        end_rise = rises[i] + np.where(
+            list_[ rises[i] : descents[i] ] < 0
+        )
+        start_descent = rises[i] + np.where(
+            list_[ rises[i] : descents[i] ] > 0
+        )
+        end_descent = descents[i] + np.where(
+            list_[ descents[i] : ] > 0
+        )
+
+        if len( start_rise[0] ) == 0:
+            rise_starts.append( descent_ends[-1] )
+        else:
+            rise_starts.append(
+                start_rise[0][-1] # last pixel that decrease
+            )
+        if len( end_rise[0] ) == 0:
+            rise_ends.append( rise_starts[-1] )
+        else:
+            rise_ends.append(
+                end_rise[0][0] # first pixel that decrease
+            )
+        if len( start_descent[0] ) == 0:
+            descent_starts.append( rises_ends[-1] )
+        else:
+            descent_starts.append(
+                start_descent[0][-1] # last pixel that increase
+            )
+        if len( end_descent[0] ) == 0:
+            descent_ends.append( descent_starts[-1] )
+        else:
+            descent_ends.append(
+                end_descent[0][0] # first pixel that increase
+            )
+    return [
+        rise_starts   ,
+        rise_ends     ,
+        descent_starts,
+        descent_ends  ,
+    ]

main.py

@@ -9,6 +9,4 @@ settings = Settings( arguments[ 1 : ] ) # remove the "main.py" part
 
 hdul  = open( settings.input )
 plate = Plate( hdul[0].data )
-plate.rotate()
-
 hdul.close()