tomo: general.py comparison

comparison general.py @ 63:98a83f03d91b draft

"planemo upload for repository https://github.com/rolfverberg/galaxytools commit a9ebbfca439737ae17ddcb0df84408155f964877"

author	rv43
date	Thu, 18 Aug 2022 14:36:46 +0000
parents	ca61007a60fa
children	f31ef7bfb430

comparison

equal deleted inserted replaced

-:e544e5d110eb
+:98a83f03d91b
 pass
 import numpy as np
 try:
 import matplotlib.pyplot as plt
 from matplotlib.widgets import Button
+except:
+pass
+try:
+import pyinputplus as pyip
 except:
 pass
 from ast import literal_eval
 from copy import deepcopy
 if mo is None:
 return None
 else:
 return int(mo.group())
-def input_int(s=None, v_min=None, v_max=None, default=None, inset=None):
+def input_int(s=None, v_min=None, v_max=None, default=None):
 if default is not None:
 if not isinstance(default, int):
 illegal_value(default, 'default', 'input_int')
 return None
 default_string = f' [{default}]'
 else:
 default_string = ''
 if v_min is not None:
 if not isinstance(v_min, int):
-illegal_value(v_min, 'v_min', 'input_int')
+illegal_value(vmin, 'vmin', 'input_int')
 return None
 if default is not None and default < v_min:
 logging.error('Illegal v_min, default combination ({v_min}, {default})')
 return None
 if v_max is not None:
 if not isinstance(v_max, int):
-illegal_value(v_max, 'v_max', 'input_int')
+illegal_value(vmax, 'vmax', 'input_int')
 return None
 if v_min is not None and v_min > v_max:
 logging.error(f'Illegal v_min, v_max combination ({v_min}, {v_max})')
 return None
 if default is not None and default > v_max:
 logging.error('Illegal default, v_max combination ({default}, {v_max})')
 return None
-if inset is not None:
-if (not isinstance(inset, (tuple, list)) or False in [True if isinstance(i, int) else
-False for i in inset]):
-illegal_value(inset, 'inset', 'input_int')
-return None
 if v_min is not None and v_max is not None:
-v_range = f' ({v_min}, {v_max})'
+v_range = f' (in range [{v_min}, {v_max}])'
 elif v_min is not None:
 v_range = f' (>= {v_min})'
 elif v_max is not None:
 v_range = f' (<= {v_max})'
 else:
 print(f'{s}{v_range}{default_string}: ')
 try:
 i = input()
 if isinstance(i, str) and not len(i):
 v = default
-print(f'{v}')
 else:
 v = literal_eval(i)
-if inset and v not in inset:
-raise ValueError(f'{v} not part of the set {inset}')
 except (ValueError, TypeError, SyntaxError, MemoryError, RecursionError):
 v = None
 except:
 print('Unexpected error')
 raise
 return None
 if default is not None and default > v_max:
 logging.error('Illegal default, v_max combination ({default}, {v_max})')
 return None
 if v_min is not None and v_max is not None:
-v_range = f' ({v_min}, {v_max})'
+v_range = f' (in range [{v_min}, {v_max}])'
 elif v_min is not None:
 v_range = f' (>= {v_min})'
 elif v_max is not None:
 v_range = f' (<= {v_max})'
 else:
 print(f'{s}{v_range}{default_string}: ')
 try:
 i = input()
 if isinstance(i, str) and not len(i):
 v = default
-print(f'{v}')
 else:
 v = literal_eval(i)
 except (ValueError, TypeError, SyntaxError, MemoryError, RecursionError):
 v = None
 except:
 return None
 if v_max < v_min:
 logging.error(f'Illegal v_min, v_max combination ({v_min}, {v_max})')
 return None
 if v_min is not None and v_max is not None:
-v_range = f' (each value in ({v_min}, {v_max}))'
+v_range = f' (each value in range [{v_min}, {v_max}])'
 elif v_min is not None:
 v_range = f' (each value >= {v_min})'
 elif v_max is not None:
 v_range = f' (each value <= {v_max})'
 else:
 else:
 print(f'{s}{default_string}: ')
 i = input()
 if isinstance(i, str) and not len(i):
 i = default
-print(f'{i}')
+if i.lower() in 'yes':
-if i is not None and i.lower() in 'yes':
 v = True
-elif i is not None and i.lower() in 'no':
+elif i.lower() in 'no':
 v = False
 else:
 print('Illegal input, enter yes or no')
 v = input_yesno(s, default)
 return v
-def input_menu(items, default=None, header=None):
-if not isinstance(items, (tuple, list)) or False in [True if isinstance(i, str) else False
-for i in items]:
-illegal_value(items, 'items', 'input_menu')
-return None
-if default is not None:
-if not (isinstance(default, str) and default in items):
-logging.error(f'Illegal value for default ({default}), must be in {items}')
-return None
-default_string = f' [{items.index(default)+1}]'
-else:
-default_string = ''
-if header is None:
-print(f'Choose one of the following items (1, {len(items)}){default_string}:')
-else:
-print(f'{header} (1, {len(items)}){default_string}:')
-for i, choice in enumerate(items):
-print(f'  {i+1}: {choice}')
-try:
-choice  = input()
-if isinstance(choice, str) and not len(choice):
-choice = items.index(default)
-print(f'{choice+1}')
-else:
-choice = literal_eval(choice)
-if isinstance(choice, int) and 1 <= choice <= len(items):
-choice -= 1
-else:
-raise ValueError
-except (ValueError, TypeError, SyntaxError, MemoryError, RecursionError):
-choice = None
-except:
-print('Unexpected error')
-raise
-if choice is None:
-print(f'Illegal choice, enter a number between 1 and {len(items)}')
-choice = input_menu(items, default)
-return choice
 def create_mask(x, bounds=None, reverse_mask=False, current_mask=None):
 # bounds is a pair of number in the same units a x
 if not isinstance(x, (tuple, list, np.ndarray)) or not len(x):
 logging.warning(f'Illegal input array ({x}, {type(x)})')
 if not True in mask:
 logging.warning('Entire data array is masked')
 return mask
 def draw_mask_1d(ydata, xdata=None, current_index_ranges=None, current_mask=None,
-select_mask=True, num_index_ranges_max=None, title=None, legend=None, test_mode=False):
+select_mask=True):
 def draw_selections(ax):
 ax.clear()
-ax.set_title(title)
+ax.set_title(axes_title)
-ax.legend([legend])
 ax.plot(xdata, ydata, 'k')
 for (low, upp) in current_include:
 xlow = 0.5*(xdata[max(0, low-1)]+xdata[low])
 xupp = 0.5*(xdata[upp]+xdata[min(num_data-1, upp+1)])
 ax.axvspan(xlow, xupp, facecolor='green', alpha=0.5)
 # Check for valid inputs
 ydata = np.asarray(ydata)
 if ydata.ndim > 1:
 logging.warning(f'Illegal ydata dimension ({ydata.ndim})')
-return None, None
+return None
 num_data = ydata.size
 if xdata is None:
 xdata = np.arange(num_data)
 else:
 xdata = np.asarray(xdata, dtype=np.float64)
 if xdata.ndim > 1 or xdata.size != num_data:
 logging.warning(f'Illegal xdata shape ({xdata.shape})')
-return None, None
+return None
 if not np.all(xdata[:-1] < xdata[1:]):
 logging.warning('Illegal xdata: must be monotonically increasing')
-return None, None
+return None
 if current_index_ranges is not None:
 if not isinstance(current_index_ranges, (tuple, list)):
 logging.warning('Illegal current_index_ranges parameter ({current_index_ranges}, '+
 f'{type(current_index_ranges)})')
-return None, None
+return None
 if not isinstance(select_mask, bool):
 logging.warning('Illegal select_mask parameter ({select_mask}, {type(select_mask)})')
-return None, None
+return None
-if num_index_ranges_max is not None:
-logging.warning('num_index_ranges_max input not yet implemented in draw_mask_1d')
-if title is None:
-title = 'select ranges of data'
-elif not isinstance(title, str):
-illegal(title, 'title')
-title = ''
-if legend is None and not isinstance(title, str):
-illegal(legend, 'legend')
-legend = None
 if select_mask:
-title = f'Click and drag to {title} you wish to include'
+axes_title = 'Click and drag to select ranges of data you wish to include.'
 selection_color = 'green'
 else:
-title = f'Click and drag to {title} you wish to exclude'
+axes_title = 'Click and drag to select ranges of data you wish to exclude.'
 selection_color = 'red'
 # Set initial selected mask and the selected/unselected index ranges as needed
 selected_index_ranges = []
 unselected_index_ranges = []
 for i in range(1, len(current_include)):
 current_exclude.append((current_include[i-1][1]+1, current_include[i][0]-1))
 if current_include[-1][1] < num_data-1:
 current_exclude.append((current_include[-1][1]+1, num_data-1))
-if not test_mode:
+# Set up matplotlib figure
+fig, ax = plt.subplots()
-# Set up matplotlib figure
+plt.subplots_adjust(bottom=0.2)
-plt.close('all')
+draw_selections(ax)
-fig, ax = plt.subplots()
-plt.subplots_adjust(bottom=0.2)
+# Set up event handling for click-and-drag range selection
-draw_selections(ax)
+cid_click = fig.canvas.mpl_connect('button_press_event', onclick)
+cid_release = fig.canvas.mpl_connect('button_release_event', onrelease)
-# Set up event handling for click-and-drag range selection
-cid_click = fig.canvas.mpl_connect('button_press_event', onclick)
+# Set up confirm / clear range selection buttons
-cid_release = fig.canvas.mpl_connect('button_release_event', onrelease)
+confirm_b = Button(plt.axes([0.75, 0.05, 0.15, 0.075]), 'Confirm')
+clear_b = Button(plt.axes([0.59, 0.05, 0.15, 0.075]), 'Clear')
-# Set up confirm / clear range selection buttons
+cid_confirm = confirm_b.on_clicked(confirm_selection)
-confirm_b = Button(plt.axes([0.75, 0.05, 0.15, 0.075]), 'Confirm')
+cid_clear = clear_b.on_clicked(clear_last_selection)
-clear_b = Button(plt.axes([0.59, 0.05, 0.15, 0.075]), 'Clear')
-cid_confirm = confirm_b.on_clicked(confirm_selection)
+# Show figure
-cid_clear = clear_b.on_clicked(clear_last_selection)
+plt.show()
-# Show figure
+# Disconnect callbacks when figure is closed
-plt.show(block=True)
+fig.canvas.mpl_disconnect(cid_click)
+fig.canvas.mpl_disconnect(cid_release)
-# Disconnect callbacks when figure is closed
+confirm_b.disconnect(cid_confirm)
-fig.canvas.mpl_disconnect(cid_click)
+clear_b.disconnect(cid_clear)
-fig.canvas.mpl_disconnect(cid_release)
-confirm_b.disconnect(cid_confirm)
-clear_b.disconnect(cid_clear)
 # Swap selection depending on select_mask
 if not select_mask:
 selected_index_ranges, unselected_index_ranges = unselected_index_ranges, \
 selected_index_ranges
 if isinstance(name, str):
 name = f' {name} '
 else:
 name = ' '
 # Check existing values
-use_input = False
+use_input = 'no'
 if (is_int(first_index, 0) and is_int(offset, 0) and is_int(num_imgs, 1)):
 if offset < 0:
-use_input = input_yesno(f'\nCurrent{name}first index = {first_index}, '+
+use_input = pyip.inputYesNo('\nCurrent'+name+f'first index = {first_index}, '+
-'use this value (y/n)?', 'y')
+'use this value ([y]/n)? ', blank=True)
 else:
-use_input = input_yesno(f'\nCurrent{name}first index/offset = '+
+use_input = pyip.inputYesNo('\nCurrent'+name+'first index/offset = '+
-f'{first_index}/{offset}, use these values (y/n)?', 'y')
+f'{first_index}/{offset}, use these values ([y]/n)? ',
+blank=True)
 if num_required is None:
-if use_input:
+if use_input != 'no':
-use_input = input_yesno(f'Current number of{name}images = '+
+use_input = pyip.inputYesNo('Current number of'+name+'images = '+
-f'{num_imgs}, use this value (y/n)? ', 'y')
+f'{num_imgs}, use this value ([y]/n)? ',
-if use_input:
+blank=True)
+if use_input != 'no':
 return first_index, offset, num_imgs
 # Check range against requirements
 if num_imgs < 1:
 logging.warning('No available'+name+'images')
 if num_required is None:
 last_index = first_index+num_imgs
 use_all = f'Use all ([{first_index}, {last_index}])'
 pick_offset = 'Pick a first index offset and a number of images'
 pick_bounds = 'Pick the first and last index'
-choice = input_menu([use_all, pick_offset, pick_bounds], default=pick_offset)
+menuchoice = pyip.inputMenu([use_all, pick_offset, pick_bounds], numbered=True)
-if not choice:
+if menuchoice == use_all:
 offset = 0
-elif choice == 1:
+elif menuchoice == pick_offset:
-offset = input_int('Enter the first index offset', 0, last_index-first_index)
+offset = pyip.inputInt('Enter the first index offset'+
+f' [0, {last_index-first_index}]: ', min=0, max=last_index-first_index)
 first_index += offset
 if first_index == last_index:
 num_imgs = 1
 else:
-num_imgs = input_int('Enter the number of images', 1, num_imgs-offset)
+num_imgs = pyip.inputInt(f'Enter the number of images [1, {num_imgs-offset}]: ',
-else:
+min=1, max=num_imgs-offset)
-offset = input_int('Enter the first index', first_index, last_index)
+else:
+offset = pyip.inputInt(f'Enter the first index [{first_index}, {last_index}]: ',
+min=first_index, max=last_index)-first_index
 first_index += offset
-num_imgs = input_int('Enter the last index', first_index, last_index)-first_index+1
+num_imgs = pyip.inputInt(f'Enter the last index [{first_index}, {last_index}]: ',
+min=first_index, max=last_index)-first_index+1
 else:
 use_all = f'Use ([{first_index}, {first_index+num_required-1}])'
 pick_offset = 'Pick the first index offset'
-choice = input_menu([use_all, pick_offset], pick_offset)
+menuchoice = pyip.inputMenu([use_all, pick_offset], numbered=True)
 offset = 0
-if choice == 1:
+if menuchoice == pick_offset:
-offset = input_int('Enter the first index offset', 0, num_imgs-num_required)
+offset = pyip.inputInt('Enter the first index offset'+
+f'[0, {num_imgs-num_required}]: ', min=0, max=num_imgs-num_required)
 first_index += offset
 num_imgs = num_required
 return first_index, offset, num_imgs
 img_stack = f.get('entry/instrument/detector/data')[
 img_offset:img_offset+num_imgs:num_img_skip+1,
 img_x_bounds[0]:img_x_bounds[1],img_y_bounds[0]:img_y_bounds[1]]
 logging.info(f'... done in {time()-t0:.2f} seconds!')
 else:
-illegal_value(filetype, 'filetype', 'loadImageStack')
+illegal_value(filetype, 'filetype', 'findImageRange')
 return img_stack
 def combine_tiffs_in_h5(files, num_imgs, h5_filename):
 img_stack = loadImageStack(files, 'tif', 0, num_imgs)
 with h5py.File(h5_filename, 'w') as f:
 x_upp = len_a
 if not is_int(x_upp, x_low+num_x_min, len_a):
 illegal_value(x_upp, 'x_upp', 'selectArrayBounds')
 return None
 quickPlot((range(len_a), a), vlines=(x_low,x_upp), title=title)
-if not input_yesno(f'\nCurrent array bounds: [{x_low}, {x_upp}] '+
+if pyip.inputYesNo(f'\nCurrent array bounds: [{x_low}, {x_upp}], '+
-'use these values (y/n)?', 'y'):
+'use these values ([y]/n)? ', blank=True) == 'no':
 x_low = None
 x_upp = None
 else:
 clearPlot(title)
 return x_low, x_upp
 x_min = 0
 x_max = len_a
 x_low_max = len_a-num_x_min
 while True:
 quickPlot(range(x_min, x_max), a[x_min:x_max], title=title)
-zoom_flag = input_yesno('Set lower data bound (y) or zoom in (n)?', 'y')
+zoom_flag = pyip.inputInt('Set lower data bound ([0]) or zoom in (1)?: ',
-if zoom_flag:
+min=0, max=1, blank=True)
-x_low = input_int('    Set lower data bound', 0, x_low_max)
+if zoom_flag == 1:
+x_min = pyip.inputInt(f'    Set lower zoom index [0, {x_low_max}]: ',
+min=0, max=x_low_max)
+x_max = pyip.inputInt(f'    Set upper zoom index [{x_min+1}, {x_low_max+1}]: ',
+min=x_min+1, max=x_low_max+1)
+else:
+x_low = pyip.inputInt(f'    Set lower data bound [0, {x_low_max}]: ',
+min=0, max=x_low_max)
 break
-else:
-x_min = input_int('    Set lower zoom index', 0, x_low_max)
-x_max = input_int('    Set upper zoom index', x_min+1, x_low_max+1)
 else:
 if not is_int(x_low, 0, len_a-num_x_min):
 illegal_value(x_low, 'x_low', 'selectArrayBounds')
 return None
 if x_upp is None:
 x_min = x_low+num_x_min
 x_max = len_a
 x_upp_min = x_min
 while True:
 quickPlot(range(x_min, x_max), a[x_min:x_max], title=title)
-zoom_flag = input_yesno('Set upper data bound (y) or zoom in (n)?', 'y')
+zoom_flag = pyip.inputInt('Set upper data bound ([0]) or zoom in (1)?: ',
-if zoom_flag:
+min=0, max=1, blank=True)
-x_upp = input_int('    Set upper data bound', x_upp_min, len_a)
+if zoom_flag == 1:
+x_min = pyip.inputInt(f'    Set upper zoom index [{x_upp_min}, {len_a-1}]: ',
+min=x_upp_min, max=len_a-1)
+x_max = pyip.inputInt(f'    Set upper zoom index [{x_min+1}, {len_a}]: ',
+min=x_min+1, max=len_a)
+else:
+x_upp = pyip.inputInt(f'    Set upper data bound [{x_upp_min}, {len_a}]: ',
+min=x_upp_min, max=len_a)
 break
-else:
-x_min = input_int('    Set upper zoom index', x_upp_min, len_a-1)
-x_max = input_int('    Set upper zoom index', x_min+1, len_a)
 else:
 if not is_int(x_upp, x_low+num_x_min, len_a):
 illegal_value(x_upp, 'x_upp', 'selectArrayBounds')
 return None
 print(f'lower bound = {x_low} (inclusive)\nupper bound = {x_upp} (exclusive)]')
 quickPlot((range(len_a), a), vlines=(x_low,x_upp), title=title)
-if not input_yesno('Accept these bounds (y/n)?', 'y'):
+if pyip.inputYesNo('Accept these bounds ([y]/n)?: ', blank=True) == 'no':
 x_low, x_upp = selectArrayBounds(a, None, None, num_x_min, title=title)
 clearPlot(title)
 return x_low, x_upp
 def selectImageBounds(a, axis, low=None, upp=None, num_min=None,
 quickImshow(a[:,min_:max_], title=title, aspect='auto',
 extent=[min_,max_,a.shape[0],0])
 else:
 quickImshow(a[min_:max_,:], title=title, aspect='auto',
 extent=[0,a.shape[1], max_,min_])
-zoom_flag = input_yesno('Set lower data bound (y) or zoom in (n)?', 'y')
+zoom_flag = pyip.inputInt('Set lower data bound (0) or zoom in (1)?: ',
+min=0, max=1)
 if zoom_flag:
-low = input_int('    Set lower data bound', 0, low_max)
+min_ = pyip.inputInt(f'    Set lower zoom index [0, {low_max}]: ',
+min=0, max=low_max)
+max_ = pyip.inputInt(f'    Set upper zoom index [{min_+1}, {low_max+1}]: ',
+min=min_+1, max=low_max+1)
+else:
+low = pyip.inputInt(f'    Set lower data bound [0, {low_max}]: ',
+min=0, max=low_max)
 break
-else:
-min_ = input_int('    Set lower zoom index', 0, low_max)
-max_ = input_int('    Set upper zoom index', min_+1, low_max+1)
 else:
 if not is_int(low, 0, a.shape[axis]-num_min):
 illegal_value(low, 'low', 'selectImageBounds')
 return None
 if upp is None:
 quickImshow(a[:,min_:max_], title=title, aspect='auto',
 extent=[min_,max_,a.shape[0],0])
 else:
 quickImshow(a[min_:max_,:], title=title, aspect='auto',
 extent=[0,a.shape[1], max_,min_])
-zoom_flag = input_yesno('Set upper data bound (y) or zoom in (n)?', 'y')
+zoom_flag = pyip.inputInt('Set upper data bound (0) or zoom in (1)?: ',
+min=0, max=1)
 if zoom_flag:
-upp = input_int('    Set upper data bound', upp_min, a.shape[axis])
+min_ = pyip.inputInt(f'    Set upper zoom index [{upp_min}, {a.shape[axis]-1}]: ',
+min=upp_min, max=a.shape[axis]-1)
+max_ = pyip.inputInt(f'    Set upper zoom index [{min_+1}, {a.shape[axis]}]: ',
+min=min_+1, max=a.shape[axis])
+else:
+upp = pyip.inputInt(f'    Set upper data bound [{upp_min}, {a.shape[axis]}]: ',
+min=upp_min, max=a.shape[axis])
 break
-else:
-min_ = input_int('    Set upper zoom index', upp_min, a.shape[axis]-1)
-max_ = input_int('    Set upper zoom index', min_+1, a.shape[axis])
 else:
 if not is_int(upp, low+num_min, a.shape[axis]):
 illegal_value(upp, 'upp', 'selectImageBounds')
 return None
 bounds = (low, upp)
 a_tmp[bounds[0],:] = a_tmp_max
 a_tmp[bounds[1]-1,:] = a_tmp_max
 print(f'lower bound = {low} (inclusive)\nupper bound = {upp} (exclusive)')
 quickImshow(a_tmp, title=title)
 del a_tmp
-if not input_yesno('Accept these bounds (y/n)?', 'y'):
+if pyip.inputYesNo('Accept these bounds ([y]/n)?: ', blank=True) == 'no':
 bounds = selectImageBounds(a, axis, low=low_save, upp=upp_save, num_min=num_min_save,
 title=title)
 return bounds
 class Config:
 """Base class for processing a config file or dictionary.
 """
 with open(config_file, 'r') as f:
 lines = f.read().splitlines()
 self.config = {item[0].strip():literal_eval(item[1].strip()) for item in
 [line.split('#')[0].split('=') for line in lines if '=' in line.split('#')[0]]}
 else:
-illegal_value(self.suffix, 'config file extension', 'Config.loadFile')
+illegal_value(self.suffix, 'config file extension', 'loadFile')
 # Make sure config file was correctly loaded
 if isinstance(self.config, dict):
 self.load_flag = True
 else:
 self.config = {}
 def loadDict(self, config_dict):
 """Takes a dictionary and places it into self.config.
 """
+exit('loadDict not tested yet, what format do we follow: txt or yaml?')
 if self.load_flag:
 logging.warning('Overwriting the previously loaded config file')
 if isinstance(config_dict, dict):
 self.config = config_dict
 self.load_flag = True
 else:
-illegal_value(config_dict, 'dictionary config object', 'Config.loadDict')
+illegal_value(config_dict, 'dictionary config object', 'loadDict')
 self.config = {}
 def saveFile(self, config_file):
 """Save the config file (as a yaml file only right now).
 """
 suffix = os.path.splitext(config_file)[1]
 if suffix != '.yml' and suffix != '.yaml':
-illegal_value(suffix, 'config file extension', 'Config.saveFile')
+illegal_value(suffix, 'config file extension', 'saveFile')
 # Check if config file exists
 if os.path.isfile(config_file):
 logging.info(f'Updating {config_file}')
 else:
 # Save config file
 with open(config_file, 'w') as f:
 yaml.safe_dump(self.config, f)
 def validate(self, pars_required, pars_missing=None):
-"""Returns False if any required keys are missing.
+"""Returns False if any required first level keys are missing.
 """
 if not self.load_flag:
 logging.error('Load a config file prior to calling Config.validate')
+pars = [p for p in pars_required if p not in self.config]
-def validate_nested_pars(config, par):
+if isinstance(pars_missing, list):
-par_levels = par.split(':')
+pars_missing.extend(pars)
-first_level_par = par_levels[0]
+elif pars_missing is not None:
-try:
+illegal_value(pars_missing, 'pars_missing', 'Config.validate')
-first_level_par = int(first_level_par)
+if len(pars) > 0:
-except:
-pass
-try:
-next_level_config = config[first_level_par]
-if len(par_levels) > 1:
-next_level_par = ':'.join(par_levels[1:])
-return validate_nested_pars(next_level_config, next_level_par)
-else:
-return True
-except:
-return False
-pars_missing = [p for p in pars_required if not validate_nested_pars(self.config, p)]
-if len(pars_missing) > 0:
-logging.error(f'Missing item(s) in configuration: {", ".join(pars_missing)}')
 return False
-else:
+return True
-return True

Mercurial > repos > rv43 > tomo

comparison general.py @ 63:98a83f03d91b draft