






import re
import time
from typing import Optional

import IPython.display as disp

from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length







def 	_UpperCamelCase   (    UpperCamelCase_       :					str		)  ->   List[Any]:

						"""simple docstring"""



						lowerCAmelCase__    						=						int(UpperCamelCase_		)
						lowerCAmelCase__						,       lowerCAmelCase__						,       lowerCAmelCase__    						=						t // 3600, (t // 60) % 60, t % 60
						return F"{h}:{m:02d}:{s:02d}" if h != 0 else F"{m:02d}:{s:02d}"







def 	_UpperCamelCase   (    UpperCamelCase_       :					List[Any]    ,       UpperCamelCase_       :					Tuple    ,       UpperCamelCase_       :					Union[str, Any]    ,       UpperCamelCase_       :					int    ,       UpperCamelCase_       :					Optional[Any]=300		)  ->   int:

						"""simple docstring"""



						return F"\n    <div>\n      {prefix}\n      <progress value='{value}' max='{total}' style='width:{width}px; height:20px; vertical-align: middle;'></progress>\n      {label}\n    </div>\n    "







def 	_UpperCamelCase   (    UpperCamelCase_       :					Optional[Any]		)  ->   Union[str, Any]:

						"""simple docstring"""



						lowerCAmelCase__    						=						'<table border="1" class="dataframe">\n'
						html_code += """  <thead>\n <tr style="text-align: left;">\n"""
						for i in items[0]:
												html_code += F"      <th>{i}</th>\n"
						html_code += "    </tr>\n  </thead>\n  <tbody>\n"
						for line in items[1:]:
												html_code += "    <tr>\n"
												for elt in line:
																		lowerCAmelCase__    						=						F"{elt:.6f}" if isinstance(UpperCamelCase_    ,       UpperCamelCase_		) else str(UpperCamelCase_		)
																		html_code += F"      <td>{elt}</td>\n"
												html_code += "    </tr>\n"
						html_code += "  </tbody>\n</table><p>"
						return html_code


class     __SCREAMING_SNAKE_CASE					:
						_SCREAMING_SNAKE_CASE	:       List[str]   =					5
						_SCREAMING_SNAKE_CASE	:       Union[str, Any]   =					0.2






						def __init__(	self     ,						_UpperCamelCase     ,						_UpperCamelCase = None     ,						_UpperCamelCase = True     ,						_UpperCamelCase = None     ,						_UpperCamelCase = 3_00     ,						):






												"""simple docstring"""
												lowerCAmelCase__    						=						total
												lowerCAmelCase__    						=						'' if prefix is None else prefix
												lowerCAmelCase__    						=						leave
												lowerCAmelCase__    						=						parent
												lowerCAmelCase__    						=						width
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						None






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase = False     ,						_UpperCamelCase = None   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						value
												if comment is not None:
																		lowerCAmelCase__    						=						comment
												if self.last_value is None:
																		lowerCAmelCase__    						=						lowerCAmelCase__    						=						time.time()
																		lowerCAmelCase__    						=						lowerCAmelCase__    						=						value
																		lowerCAmelCase__    						=						lowerCAmelCase__    						=						None
																		lowerCAmelCase__    						=						self.warmup
																		lowerCAmelCase__    						=						1
																		self.update_bar(_UpperCamelCase   )
												elif value <= self.last_value and not force_update:
																		return
												elif force_update or self.first_calls > 0 or value >= min(self.last_value + self.wait_for     ,						self.total   ):
																		if self.first_calls > 0:
																								self.first_calls -= 1
																		lowerCAmelCase__    						=						time.time()
																		lowerCAmelCase__    						=						current_time - self.start_time
																		# We could have value = self.start_value if the update is called twixe with the same start value.
																		if value > self.start_value:
																								lowerCAmelCase__    						=						self.elapsed_time / (value - self.start_value)
																		else:
																								lowerCAmelCase__    						=						None
																		if value >= self.total:
																								lowerCAmelCase__    						=						self.total
																								lowerCAmelCase__    						=						None
																								if not self.leave:
																														self.close()
																		elif self.average_time_per_item is not None:
																								lowerCAmelCase__    						=						self.average_time_per_item * (self.total - value)
																		self.update_bar(_UpperCamelCase   )
																		lowerCAmelCase__    						=						value
																		lowerCAmelCase__    						=						current_time
																		if self.average_time_per_item is None:
																								lowerCAmelCase__    						=						1
																		else:
																								lowerCAmelCase__    						=						max(int(self.update_every / self.average_time_per_item   )     ,						1   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase=None   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						' ' * (len(str(self.total   )   ) - len(str(_UpperCamelCase   )   )) + str(_UpperCamelCase   )
												if self.elapsed_time is None:
																		lowerCAmelCase__    						=						F"[{spaced_value}/{self.total} : < :"
												elif self.predicted_remaining is None:
																		lowerCAmelCase__    						=						F"[{spaced_value}/{self.total} {format_time(self.elapsed_time   )}"
												else:
																		lowerCAmelCase__    						=						(
																		    F"[{spaced_value}/{self.total} {format_time(self.elapsed_time   )} <"
																		    F" {format_time(self.predicted_remaining   )}"
																		)
																		self.label += F", {1/self.average_time_per_item:.2f} it/s"
												self.label += "]" if self.comment is None or len(self.comment   ) == 0 else F", {self.comment}]"
												self.display()






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						html_progress_bar(self.value     ,						self.total     ,						self.prefix     ,						self.label     ,						self.width   )
												if self.parent is not None:
																		# If this is a child bar, the parent will take care of the display.
																		self.parent.display()
																		return
												if self.output is None:
																		lowerCAmelCase__    						=						disp.display(disp.HTML(self.html_code   )     ,						display_id=_UpperCamelCase   )
												else:
																		self.output.update(disp.HTML(self.html_code   )   )







						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												if self.parent is None and self.output is not None:
																		self.output.update(disp.HTML(''   )   )




class     __SCREAMING_SNAKE_CASE					(   __lowercase):






						def __init__(	self     ,						_UpperCamelCase     ,						_UpperCamelCase=None   ):






												"""simple docstring"""
												super().__init__(_UpperCamelCase   )
												lowerCAmelCase__    						=						None if column_names is None else [column_names]
												lowerCAmelCase__    						=						None






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						html_progress_bar(self.value     ,						self.total     ,						self.prefix     ,						self.label     ,						self.width   )
												if self.inner_table is not None:
																		self.html_code += text_to_html_table(self.inner_table   )
												if self.child_bar is not None:
																		self.html_code += self.child_bar.html_code
												if self.output is None:
																		lowerCAmelCase__    						=						disp.display(disp.HTML(self.html_code   )     ,						display_id=_UpperCamelCase   )
												else:
																		self.output.update(disp.HTML(self.html_code   )   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase   ):






												"""simple docstring"""
												if self.inner_table is None:
																		lowerCAmelCase__    						=						[list(values.keys()   ), list(values.values()   )]
												else:
																		lowerCAmelCase__    						=						self.inner_table[0]
																		if len(self.inner_table   ) == 1:
																								# We give a chance to update the column names at the first iteration
																								for key in values.keys():
																														if key not in columns:
																																				columns.append(_UpperCamelCase   )
																								lowerCAmelCase__    						=						columns
																		self.inner_table.append([values[c] for c in columns]   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase=None     ,						_UpperCamelCase=3_00   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						NotebookProgressBar(_UpperCamelCase     ,						prefix=_UpperCamelCase     ,						parent=self     ,						width=_UpperCamelCase   )
												return self.child_bar







						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						None
												self.display()




class     __SCREAMING_SNAKE_CASE					(   __lowercase):






						def __init__(	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						False






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						'Epoch' if args.evaluation_strategy == IntervalStrategy.EPOCH else 'Step'
												lowerCAmelCase__    						=						0
												lowerCAmelCase__    						=						0
												lowerCAmelCase__    						=						[self.first_column] + ['Training Loss']
												if args.evaluation_strategy != IntervalStrategy.NO:
																		column_names.append('Validation Loss'   )
												lowerCAmelCase__    						=						NotebookTrainingTracker(state.max_steps     ,						_UpperCamelCase   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						int(state.epoch   ) if int(state.epoch   ) == state.epoch else F"{state.epoch:.2f}"
												self.training_tracker.update(
												    state.global_step + 1     ,						comment=F"Epoch {epoch}/{state.num_train_epochs}"     ,						force_update=self._force_next_update     ,						)
												lowerCAmelCase__    						=						False






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase=None     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												if not has_length(_UpperCamelCase   ):
																		return
												if self.prediction_bar is None:
																		if self.training_tracker is not None:
																								lowerCAmelCase__    						=						self.training_tracker.add_child(len(_UpperCamelCase   )   )
																		else:
																								lowerCAmelCase__    						=						NotebookProgressBar(len(_UpperCamelCase   )   )
																		self.prediction_bar.update(1   )
												else:
																		self.prediction_bar.update(self.prediction_bar.value + 1   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												if self.prediction_bar is not None:
																		self.prediction_bar.close()
												lowerCAmelCase__    						=						None






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase=None     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												# Only for when there is no evaluation
												if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
																		lowerCAmelCase__    						=						{'Training Loss': logs['loss']}
																		# First column is necessarily Step sine we're not in epoch eval strategy
																		lowerCAmelCase__    						=						state.global_step
																		self.training_tracker.write_line(_UpperCamelCase   )






						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase=None     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												if self.training_tracker is not None:
																		lowerCAmelCase__    						=						{'Training Loss': 'No log', 'Validation Loss': 'No log'}
																		for log in reversed(state.log_history   ):
																								if "loss" in log:
																														lowerCAmelCase__    						=						log['loss']
																														break

																		if self.first_column == "Epoch":
																								lowerCAmelCase__    						=						int(state.epoch   )
																		else:
																								lowerCAmelCase__    						=						state.global_step
																		lowerCAmelCase__    						=						'eval'
																		for k in metrics:
																								if k.endswith('_loss'   ):
																														lowerCAmelCase__    						=						re.sub(r'\_loss$'     ,						''     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop('total_flos'     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop('epoch'     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop(F"{metric_key_prefix}_runtime"     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop(F"{metric_key_prefix}_samples_per_second"     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop(F"{metric_key_prefix}_steps_per_second"     ,						_UpperCamelCase   )
																		lowerCAmelCase__    						=						metrics.pop(F"{metric_key_prefix}_jit_compilation_time"     ,						_UpperCamelCase   )
																		for k, v in metrics.items():
																								if k == F"{metric_key_prefix}_loss":
																														lowerCAmelCase__    						=						v
																								else:
																														lowerCAmelCase__    						=						k.split('_'   )
																														lowerCAmelCase__    						=						' '.join([part.capitalize() for part in splits[1:]]   )
																														lowerCAmelCase__    						=						v
																		self.training_tracker.write_line(_UpperCamelCase   )
																		self.training_tracker.remove_child()
																		lowerCAmelCase__    						=						None
																		# Evaluation takes a long time so we should force the next update.
																		lowerCAmelCase__    						=						True







						def       UpperCamelCase__      (	self     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						_UpperCamelCase     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												self.training_tracker.update(
												    state.global_step     ,						comment=F"Epoch {int(state.epoch   )}/{state.num_train_epochs}"     ,						force_update=_UpperCamelCase   )
												lowerCAmelCase__    						=						None













import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
__snake_case    :    str         =     (7_20, 12_80)  # Height, Width
__snake_case    :    Dict         =     (0.4, 0.6)  # if height or width lower than this scale, drop it.
__snake_case    :    Dict         =     1 / 1_00
__snake_case    :    Optional[int]         =     """"""
__snake_case    :    Union[str, Any]         =     """"""
__snake_case    :    List[str]         =     """"""
__snake_case    :    List[str]         =     2_50







def 	_UpperCamelCase   (    )  ->   None:

						"""simple docstring"""



						lowerCAmelCase__						,       lowerCAmelCase__    						=						get_dataset(UpperCamelCase_    ,       UpperCamelCase_		)
						for index in range(UpperCamelCase_		):
												lowerCAmelCase__    						=						random.sample(range(len(UpperCamelCase_		)		)    ,       4		)
												lowerCAmelCase__						,       lowerCAmelCase__						,       lowerCAmelCase__    						=						update_image_and_anno(
												    UpperCamelCase_    ,       UpperCamelCase_    ,       UpperCamelCase_    ,       UpperCamelCase_    ,       UpperCamelCase_    ,       filter_scale=UpperCamelCase_    ,       )

												# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
												lowerCAmelCase__    						=						random_chars(32		)
												lowerCAmelCase__    						=						path.split(os.sep		)[-1].rsplit('.'    ,       1		)[0]
												lowerCAmelCase__    						=						F"{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"
												cva.imwrite(F"{file_root}.jpg"    ,       UpperCamelCase_    ,       [cva.IMWRITE_JPEG_QUALITY, 85]		)
												print(F"Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"		)
												lowerCAmelCase__    						=						[]
												for anno in new_annos:
																		lowerCAmelCase__    						=						anno[3] - anno[1]
																		lowerCAmelCase__    						=						anno[4] - anno[2]
																		lowerCAmelCase__    						=						anno[1] + width / 2
																		lowerCAmelCase__    						=						anno[2] + height / 2
																		lowerCAmelCase__    						=						F"{anno[0]} {x_center} {y_center} {width} {height}"
																		annos_list.append(UpperCamelCase_		)
												with open(F"{file_root}.txt"    ,       'w'		) as outfile:
																		outfile.write('\n'.join(line for line in annos_list		)		)







def 	_UpperCamelCase   (    UpperCamelCase_       :					str    ,       UpperCamelCase_       :					str		)  ->   tuple[list, list]:

						"""simple docstring"""



						lowerCAmelCase__    						=						[]
						lowerCAmelCase__    						=						[]
						for label_file in glob.glob(os.path.join(UpperCamelCase_    ,       '*.txt'		)		):
												lowerCAmelCase__    						=						label_file.split(os.sep		)[-1].rsplit('.'    ,       1		)[0]
												with open(UpperCamelCase_		) as in_file:
																		lowerCAmelCase__    						=						in_file.readlines()
												lowerCAmelCase__    						=						os.path.join(UpperCamelCase_    ,       F"{label_name}.jpg"		)

												lowerCAmelCase__    						=						[]
												for obj_list in obj_lists:
																		lowerCAmelCase__    						=						obj_list.rstrip('\n'		).split(' '		)
																		lowerCAmelCase__    						=						float(obj[1]		) - float(obj[3]		) / 2
																		lowerCAmelCase__    						=						float(obj[2]		) - float(obj[4]		) / 2
																		lowerCAmelCase__    						=						float(obj[1]		) + float(obj[3]		) / 2
																		lowerCAmelCase__    						=						float(obj[2]		) + float(obj[4]		) / 2

																		boxes.append([int(obj[0]		), xmin, ymin, xmax, ymax]		)
												if not boxes:
																		continue
												img_paths.append(UpperCamelCase_		)
												labels.append(UpperCamelCase_		)
						return img_paths, labels







def 	_UpperCamelCase   (    UpperCamelCase_       :					list    ,       UpperCamelCase_       :					list    ,       UpperCamelCase_       :					list[int]    ,       UpperCamelCase_       :					tuple[int, int]    ,       UpperCamelCase_       :					tuple[float, float]    ,       UpperCamelCase_       :					float = 0.0    ,       )  ->   tuple[list, list, str]:

						"""simple docstring"""



						lowerCAmelCase__    						=						np.zeros([output_size[0], output_size[1], 3]    ,       dtype=np.uinta		)
						lowerCAmelCase__    						=						scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
						lowerCAmelCase__    						=						scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
						lowerCAmelCase__    						=						int(scale_x * output_size[1]		)
						lowerCAmelCase__    						=						int(scale_y * output_size[0]		)

						lowerCAmelCase__    						=						[]
						lowerCAmelCase__    						=						[]
						for i, index in enumerate(UpperCamelCase_		):
												lowerCAmelCase__    						=						all_img_list[index]
												path_list.append(UpperCamelCase_		)
												lowerCAmelCase__    						=						all_annos[index]
												lowerCAmelCase__    						=						cva.imread(UpperCamelCase_		)
												if i == 0:  # top-left
																		lowerCAmelCase__    						=						cva.resize(UpperCamelCase_    ,       (divid_point_x, divid_point_y)		)
																		lowerCAmelCase__    						=						img
																		for bbox in img_annos:
																								lowerCAmelCase__    						=						bbox[1] * scale_x
																								lowerCAmelCase__    						=						bbox[2] * scale_y
																								lowerCAmelCase__    						=						bbox[3] * scale_x
																								lowerCAmelCase__    						=						bbox[4] * scale_y
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]		)
												elif i == 1:  # top-right
																		lowerCAmelCase__    						=						cva.resize(UpperCamelCase_    ,       (output_size[1] - divid_point_x, divid_point_y)		)
																		lowerCAmelCase__    						=						img
																		for bbox in img_annos:
																								lowerCAmelCase__    						=						scale_x + bbox[1] * (1 - scale_x)
																								lowerCAmelCase__    						=						bbox[2] * scale_y
																								lowerCAmelCase__    						=						scale_x + bbox[3] * (1 - scale_x)
																								lowerCAmelCase__    						=						bbox[4] * scale_y
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]		)
												elif i == 2:  # bottom-left
																		lowerCAmelCase__    						=						cva.resize(UpperCamelCase_    ,       (divid_point_x, output_size[0] - divid_point_y)		)
																		lowerCAmelCase__    						=						img
																		for bbox in img_annos:
																								lowerCAmelCase__    						=						bbox[1] * scale_x
																								lowerCAmelCase__    						=						scale_y + bbox[2] * (1 - scale_y)
																								lowerCAmelCase__    						=						bbox[3] * scale_x
																								lowerCAmelCase__    						=						scale_y + bbox[4] * (1 - scale_y)
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]		)
												else:  # bottom-right
																		lowerCAmelCase__    						=						cva.resize(
																		    UpperCamelCase_    ,       (output_size[1] - divid_point_x, output_size[0] - divid_point_y)		)
																		lowerCAmelCase__    						=						img
																		for bbox in img_annos:
																								lowerCAmelCase__    						=						scale_x + bbox[1] * (1 - scale_x)
																								lowerCAmelCase__    						=						scale_y + bbox[2] * (1 - scale_y)
																								lowerCAmelCase__    						=						scale_x + bbox[3] * (1 - scale_x)
																								lowerCAmelCase__    						=						scale_y + bbox[4] * (1 - scale_y)
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]		)

    # Remove bounding box small than scale of filter
						if filter_scale > 0:
												lowerCAmelCase__    						=						[
												    anno
												    for anno in new_anno
												    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
												]

						return output_img, new_anno, path_list[0]







def 	_UpperCamelCase   (    UpperCamelCase_       :					int		)  ->   str:

						"""simple docstring"""



						assert number_char > 1, "The number of character should greater than 1"
						lowerCAmelCase__    						=						ascii_lowercase + digits
						return "".join(random.choice(UpperCamelCase_		) for _ in range(UpperCamelCase_		)		)


if __name__ == "__main__":
					main()
					print("""DONE ✅""")





