Error in Auto1111 17.0 - "False" not defined

[rlewisfr]

Not sure if this was an ongoing issue or just with the new version of A1111:

*** Error loading script: test_my_prompt_custom_script.py
Traceback (most recent call last):
File "I:\stable-diffusion-webui\modules\scripts.py", line 469, in load_scripts
script_module = script_loading.load_module(scriptfile.path)
File "I:\stable-diffusion-webui\modules\script_loading.py", line 10, in load_module
module_spec.loader.exec_module(module)
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "I:\stable-diffusion-webui\scripts\test_my_prompt_custom_script.py", line 1, in
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modules.shared import opts, cmd_opts, state\r","from modules.processing import Processed, StableDiffusionProcessingImg2Img, process_images, images\r","from PIL import Image, ImageFont, ImageDraw, ImageOps\r","from modules.paths_internal import roboto_ttf_file\r","import modules.scripts as scripts\r","import gradio as gr\r","from collections import namedtuple\r","from random import randint\r","\r","class Script(scripts.Script):\r"," GridSaveFlags = namedtuple('GridSaveFlags', ['never_grid', 'always_grid', 'always_save_grid'], defaults=(False, False, False))\r"," grid_options_mapping = {\r"," "Use user settings": GridSaveFlags(),\r"," "Don't generate": GridSaveFlags(never_grid=True),\r"," "Generate": GridSaveFlags(always_grid=True),\r"," "Generate and always save": GridSaveFlags(always_grid=True, always_save_grid=True),\r"," }\r"," default_grid_opt = list(grid_options_mapping.keys())[-1]\r","\r"," def title(self):\r"," return "Test my prompt!"\r","\r"," def ui(self, is_img2img):\r"," neg_pos = gr.Dropdown(label="Test negative or positive", choices=["Positive","Negative"], value="Positive")\r"," skip_x_first = gr.Slider(minimum=0, maximum=128, step=1, label='Skip X first words', value=0)\r"," separator = gr.Textbox(label="Separator used", lines=1, value=", ")\r"," grid_option = gr.Radio(choices=list(self.grid_options_mapping.keys()), label='Grid generation', value=self.default_grid_opt)\r"," font_size = gr.Slider(minimum=12, maximum=64, step=1, label='Font size', value=32)\r"," return [neg_pos,skip_x_first,separator,grid_option,font_size]\r","\r"," def run(self, p,neg_pos,skip_x_first,separator,grid_option,font_size):\r"," def write_on_image(img, msg):\r"," ix,iy = img.size\r"," draw = ImageDraw.Draw(img)\r"," margin=2\r"," fontsize=font_size\r"," draw = ImageDraw.Draw(img)\r"," font = ImageFont.truetype(roboto_ttf_file, fontsize)\r"," text_height=iy-60\r"," tx = draw.textbbox((0,0),msg,font)\r"," draw.text((int((ix-tx[2])/2),text_height+margin),msg,(0,0,0),font=font)\r"," draw.text((int((ix-tx[2])/2),text_height-margin),msg,(0,0,0),font=font)\r"," draw.text((int((ix-tx[2])/2+margin),text_height),msg,(0,0,0),font=font)\r"," draw.text((int((ix-tx[2])/2-margin),text_height),msg,(0,0,0),font=font)\r"," draw.text((int((ix-tx[2])/2),text_height), msg,(255,255,255),font=font)\r"," return img\r","\r","\r"," p.do_not_save_samples = True\r"," initial_seed = p.seed\r"," if initial_seed == -1:\r"," initial_seed = randint(1000000,9999999)\r"," if neg_pos == "Positive":\r"," initial_prompt = p.prompt\r"," prompt_array = p.prompt\r"," else:\r"," initial_prompt = p.negative_prompt\r"," prompt_array = p.negative_prompt\r","\r"," prompt_array = prompt_array.split(separator)\r"," print("total images :", len(prompt_array))\r"," for g in range(len(prompt_array)+1):\r"," f = g-1\r"," if f >= 0 and f < skip_x_first:\r"," continue\r"," if f >= 0:\r"," new_prompt = separator.join([prompt_array[x] for x in range(len(prompt_array)) if x is not f])\r"," else:\r"," new_prompt = initial_prompt\r","\r"," if neg_pos == "Positive":\r"," p.prompt = new_prompt\r"," else:\r"," p.negative_prompt = new_prompt\r"," p.seed = initial_seed\r"," if g == 0:\r"," proc = process_images(p)\r"," else:\r"," appendimages = process_images(p)\r"," proc.images.insert(0,appendimages.images[0])\r"," proc.infotexts.insert(0,appendimages.infotexts[0])\r"," if f >= 0:\r"," proc.images[0] = write_on_image(proc.images[0], "no "+prompt_array[f])\r"," else:\r"," proc.images[0] = write_on_image(proc.images[0], "full prompt")\r","\r"," if opts.samples_save:\r"," images.save_image(proc.images[0], p.outpath_samples, "", proc.seed, proc.prompt, opts.samples_format, info= proc.info, p=p)\r","\r"," grid_flags = self.grid_options_mapping[grid_option]\r"," unwanted_grid_because_of_img_count = len(proc.images) < 2 and opts.grid_only_if_multiple\r"," if ((opts.return_grid or opts.grid_save) and not p.do_not_save_grid and not grid_flags.never_grid and not unwanted_grid_because_of_img_count) or grid_flags.always_grid:\r"," grid = images.image_grid(proc.images)\r"," proc.images.insert(0,grid)\r"," proc.infotexts.insert(0, proc.infotexts[-1])\r"," if opts.grid_save or grid_flags.always_save_grid:\r"," images.save_image(grid, p.outpath_grids, "grid", initial_seed, initial_prompt, opts.grid_format, info=proc.info, short_filename=not opts.grid_extended_filename, p=p, grid=True)\r"," return 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