Wildcard Issue: Random value not changing between image generations

Your question
This might be a bug, but first I'll share here in case it might be something I'm doing wrong....
When using wildcards in SwarmUI to generate multiple images, the wildcard value does not change randomly between each generation. Instead, it seems to pick one random value initially and then use that same value for all subsequent image generations, rather than selecting a new random value each time.
For example, if I have a wildcard placeholder like style:* in my prompt, it may initially choose the value "modern" for the first image. But then all the following images will also use the "modern" style, even though the wildcard is supposed to be randomly selected.
This prevents me from effectively using wildcards to introduce variation between the generated images, which is a key feature I was hoping to leverage in SwarmUI.
Logs
2024-09-19 14:43:46.623 [Init] === SwarmUI v<IP_ADDRESS> Starting at 2024-09-19 14:43:46 ===
2024-09-19 14:43:46.655 [Init] Prepping extension: SwarmUI.Builtin_ScorersExtension.ScorersExtension...
2024-09-19 14:43:46.673 [Init] Prepping extension: SwarmUI.Builtin_ImageBatchToolExtension.ImageBatchToolExtension...
2024-09-19 14:43:46.674 [Init] Prepping extension: SwarmUI.Builtin_GridGeneratorExtension.GridGeneratorExtension...
2024-09-19 14:43:46.675 [Init] Prepping extension: SwarmUI.Builtin_DynamicThresholding.DynamicThresholdingExtension...
2024-09-19 14:43:46.676 [Init] Prepping extension: SwarmUI.Builtin_ComfyUIBackend.ComfyUIBackendExtension...
2024-09-19 14:43:46.677 [Init] Prepping extension: SwarmUI.Builtin_AutoWebUIExtension.AutoWebUIBackendExtension...
2024-09-19 14:43:46.708 [Init] Parsing command line...
2024-09-19 14:43:46.709 [Init] Loading settings file...
2024-09-19 14:43:46.731 [Init] Re-saving settings file...
2024-09-19 14:43:46.749 [Init] Applying command line settings...
2024-09-19 14:43:46.766 [Debug] [Load Time] Initial settings load took 0.14s (0.14s from start)
2024-09-19 14:43:46.781 [Debug] [Load Time] Extension PreInit took 0.02s (0.16s from start)
2024-09-19 14:43:46.781 [Init] Prepping options...
2024-09-19 14:43:46.837 [Init] Current git commit marked as date 2024-09-15 08:11:34
2024-09-19 14:43:46.888 [Debug] [Load Time] Prep Objects took 0.11s (0.27s from start)
2024-09-19 14:43:46.888 [Debug] [Load Time] Web PreInit took 0s (0.27s from start)
2024-09-19 14:43:46.899 [Debug] [Load Time] Extensions Init took 0.02s (0.28s from start)
2024-09-19 14:43:46.899 [Debug] [Load Time] Prep Utils took 0s (0.28s from start)
2024-09-19 14:43:46.923 [Init] CPU Cores: 12 | RAM: 31.92 GiB total, 16.93 GiB available
2024-09-19 14:43:46.925 [Init] GPU 0: NVIDIA GeForce RTX 3060 Ti | Temp 53C | Util 3% GPU, 17% Memory | VRAM 8.00 GiB total, 7.36 GiB free, 485.00 MiB used
2024-09-19 14:43:46.932 [Debug] [Load Time] Languages load took 0.03s (0.31s from start)
2024-09-19 14:43:46.932 [Init] Loading models list...
2024-09-19 14:43:47.069 [Debug] [Load Time] Model listing took 0.14s (0.45s from start)
2024-09-19 14:43:47.069 [Init] Loading backends...
2024-09-19 14:43:47.071 [Init] Loading backends from file...
2024-09-19 14:43:47.073 [Debug] [Load ComfyUI Self-Starting #0] Waiting to load...
2024-09-19 14:43:47.074 [Debug] [Load Time] Backends took 0s (0.45s from start)
2024-09-19 14:43:47.074 [Init] Prepping API...
2024-09-19 14:43:47.074 [Debug] [Load ComfyUI Self-Starting #0] Will now load...
2024-09-19 14:43:47.074 [Init] Initializing backend #0 - ComfyUI Self-Starting...
2024-09-19 14:43:47.076 [Debug] [Load Time] API took 0s (0.45s from start)
2024-09-19 14:43:47.076 [Init] Prepping webserver...
2024-09-19 14:43:47.076 [Debug] [Load ComfyUI Self-Starting #0] Starting init...
2024-09-19 14:43:47.076 [Debug] [Load ComfyUI Self-Starting #0] Will emit comfy model paths file...
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Done emitting comfy model paths file.
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Will add args:  --extra-model-paths-config I:\ai\SwarmUI\Data/comfy-auto-model.yaml --preview-method latent2rgb
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Will track node repo load task...
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Will track comfy git pull auto-update task...
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Waiting on git tasks to complete...
2024-09-19 14:43:47.077 [Debug] [Load ComfyUI Self-Starting #0] Running git pull in comfy folder...
2024-09-19 14:43:47.078 [Init] Backend request handler loop ready...
2024-09-19 14:43:47.107 [Debug] [Load Time] [Web] WebApp builder prep took 0.02s (0.02s from start)
2024-09-19 14:43:47.128 [Debug] [Load ComfyUI Self-Starting #0] Will ensure all node repos...
2024-09-19 14:43:47.130 [Debug] [Load ComfyUI Self-Starting #0] Will ensure node repo 'https://github.com/mcmonkeyprojects/sd-dynamic-thresholding'...
2024-09-19 14:43:47.130 [Debug] [Load ComfyUI Self-Starting #0] Will ensure node repo 'https://github.com/Stability-AI/ComfyUI-SAI_API'...
2024-09-19 14:43:47.130 [Debug] [Load ComfyUI Self-Starting #0] Node folder 'sd-dynamic-thresholding' exists, will git pull it...
2024-09-19 14:43:47.130 [Debug] [Load ComfyUI Self-Starting #0] Node folder 'ComfyUI-SAI_API' exists, will git pull it...
2024-09-19 14:43:47.147 [Debug] [Load Time] [Web] WebApp build took 0.05s (0.06s from start)
2024-09-19 14:43:47.147 [Debug] [Load Time] [Web] exception handler took 0s (0.06s from start)
2024-09-19 14:43:47.147 [Debug] [Load Time] [Web] StartStop handler took 0s (0.06s from start)
2024-09-19 14:43:47.147 [Debug] [Load Time] [Web] static files took 0s (0.06s from start)
2024-09-19 14:43:47.201 [Debug] [Load Time] [Web] core use calls took 0.05s (0.11s from start)
2024-09-19 14:43:47.203 [Debug] [Load Time] [Web] core maps took 0s (0.11s from start)
2024-09-19 14:43:47.203 [Init] Scan for web extensions...
2024-09-19 14:43:47.205 [Debug] [Load Time] [Web] end took 0.02s (0.13s from start)
2024-09-19 14:43:47.205 [Debug] [Load Time] Web prep took 0.14s (0.59s from start)
2024-09-19 14:43:47.205 [Init] Readying extensions for launch...
2024-09-19 14:43:47.206 [Debug] [Load Time] Extensions pre-launch took 0s (0.59s from start)
2024-09-19 14:43:47.206 [Init] Launching server...
2024-09-19 14:43:47.207 [Init] Starting webserver on http://localhost:7801
2024-09-19 14:43:47.240 [Debug] [Load Time] Web launch took 0.03s (0.63s from start)
2024-09-19 14:43:47.527 [Init] Swarm is up to date!  Please use torch.amp.custom_fwd(args..., device_type='cuda') instead.
2024-09-19 14:44:06.420 [Debug] [ComfyUI-0/STDERR]   @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
2024-09-19 14:44:10.005 [Debug] [Load ComfyUI Self-Starting #0] Will attempt to load value set...
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR] Import times for custom nodes:
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]    0.0 seconds: I:\ai\SwarmUI\dlbackend\comfy\ComfyUI\custom_nodes\websocket_image_save.py
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]    0.0 seconds: I:\ai\SwarmUI\src\BuiltinExtensions\ComfyUIBackend\DLNodes\sd-dynamic-thresholding
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]    0.0 seconds: I:\ai\SwarmUI\src\BuiltinExtensions\ComfyUIBackend\DLNodes\ComfyUI-SAI_API
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]    0.6 seconds: I:\ai\SwarmUI\src\BuiltinExtensions\ComfyUIBackend\ExtraNodes\SwarmComfyCommon
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]    3.9 seconds: I:\ai\SwarmUI\src\BuiltinExtensions\ComfyUIBackend\ExtraNodes\SwarmComfyExtra
2024-09-19 14:44:11.974 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:44:11.979 [Debug] [ComfyUI-0/STDERR] Starting server
2024-09-19 14:44:11.979 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:44:11.979 [Debug] [ComfyUI-0/STDERR] To see the GUI go to: http://<IP_ADDRESS>:7821
2024-09-19 14:44:12.056 [Debug] [Load ComfyUI Self-Starting #0] Got valid value set, will parse...
2024-09-19 14:44:12.058 [Debug] Comfy backend 0 using model folder format: backslash \ due to model Flux\flux1-schnell-fp8.safetensors
2024-09-19 14:44:12.060 [Debug] [Load ComfyUI Self-Starting #0] Done parsing value set.
2024-09-19 14:44:12.060 [Debug] [Load ComfyUI Self-Starting #0] Done! Started!
2024-09-19 14:44:12.060 [Init] Self-Start ComfyUI-0 on port 7821 started.
2024-09-19 14:44:12.064 [Debug] [Load ComfyUI Self-Starting #0] ComfyUI-0 self-start port 7821 loop ending (should now be alive)
2024-09-19 14:44:13.217 [Debug] [Load ComfyUI Self-Starting #0] Got valid value set, will parse...
2024-09-19 14:44:13.218 [Debug] Comfy backend 0 using model folder format: backslash \ due to model Flux\flux1-schnell-fp8.safetensors
2024-09-19 14:44:13.218 [Debug] [Load ComfyUI Self-Starting #0] Done parsing value set.
2024-09-19 14:44:13.238 [Debug] Data refreshed!
2024-09-19 14:44:33.204 [Info] User local requested 5 images with model 'SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors'...
2024-09-19 14:44:33.211 [Debug] [BackendHandler] Backend request #1 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:44:33.215 [Debug] [BackendHandler] backend #0 will load a model: SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, with 1 requests waiting for 0 seconds
2024-09-19 14:44:33.287 [Debug] [BackendHandler] Backend request #2 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:44:33.320 [Debug] [BackendHandler] Backend request #3 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:44:33.350 [Debug] [BackendHandler] Backend request #4 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:44:33.381 [Debug] [BackendHandler] Backend request #5 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:44:35.350 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:44:44.299 [Debug] [ComfyUI-0/STDERR] model weight dtype torch.float16, manual cast: None
2024-09-19 14:44:44.305 [Debug] [ComfyUI-0/STDERR] model_type EPS
2024-09-19 14:46:31.236 [Debug] [ComfyUI-0/STDERR] Using pytorch attention in VAE
2024-09-19 14:46:31.237 [Debug] [ComfyUI-0/STDERR] Using pytorch attention in VAE
2024-09-19 14:46:39.526 [Debug] [ComfyUI-0/STDERR] I:\ai\SwarmUI\dlbackend\comfy\python_embeded\Lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
2024-09-19 14:46:39.526 [Debug] [ComfyUI-0/STDERR]   warnings.warn(
2024-09-19 14:46:39.578 [Debug] [ComfyUI-0/STDERR] Requested to load SDXLClipModel
2024-09-19 14:46:39.578 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:46:39.587 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 1560.802734375 True
2024-09-19 14:46:50.857 [Debug] [ComfyUI-0/STDERR] Prompt executed in 135.51 seconds
2024-09-19 14:46:53.045 [Debug] [BackendHandler] backend #0 loaded model, returning to pool
2024-09-19 14:46:53.874 [Debug] [BackendHandler] Backend request #1 found correct model on #0
2024-09-19 14:46:53.875 [Debug] [BackendHandler] Backend request #1 finished.
2024-09-19 14:46:53.879 [Debug] [BackendHandler] Backend request #2 found correct model on #0
2024-09-19 14:46:53.879 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:46:53.879 [Debug] [BackendHandler] Backend request #2 finished.
2024-09-19 14:46:54.210 [Debug] [ComfyUI-0/STDERR] I:\ai\SwarmUI\dlbackend\comfy\ComfyUI\comfy\ldm\modules\attention.py:407: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:555.)
2024-09-19 14:46:54.210 [Debug] [ComfyUI-0/STDERR]   out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False)
2024-09-19 14:46:54.922 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:46:54.923 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:46:55.923 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:46:57.284 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:46:57.450 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:46:59.033 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]I:\ai\SwarmUI\dlbackend\comfy\python_embeded\Lib\site-packages\torchsde_brownian\brownian_interval.py:608: UserWarning: Should have tb<=t1 but got tb=14.614640235900879 and t1=14.61464.
2024-09-19 14:46:59.033 [Debug] [ComfyUI-0/STDERR]   warnings.warn(f"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.")
2024-09-19 14:47:00.399 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:47:03.010 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:02<00:14,  2.95s/it]
2024-09-19 14:47:05.611 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:05<00:11,  2.75s/it]
2024-09-19 14:47:08.249 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:08<00:08,  2.68s/it]
2024-09-19 14:47:10.874 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:10<00:05,  2.66s/it]
2024-09-19 14:47:12.172 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:13<00:02,  2.65s/it]
2024-09-19 14:47:12.173 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.19s/it]
2024-09-19 14:47:12.173 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.45s/it]
2024-09-19 14:47:12.173 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:47:12.173 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:14.192 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:47:15.805 [Debug] [ComfyUI-0/STDERR] Prompt executed in 21.92 seconds
2024-09-19 14:47:16.012 [Debug] [ComfyUI-0/STDERR] Requested to load SDXLClipModel
2024-09-19 14:47:16.012 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:16.452 [Info] Generated an image in 140.67 (prep) and 22.38 (gen) seconds
2024-09-19 14:47:16.454 [Debug] [BackendHandler] Backend request #3 found correct model on #0
2024-09-19 14:47:16.454 [Debug] [BackendHandler] Backend request #3 finished.
2024-09-19 14:47:16.456 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:47:16.513 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 1560.802734375 True
2024-09-19 14:47:16.576 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:47:16.576 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:18.735 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:47:18.748 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:47:21.347 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:47:23.955 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:02<00:12,  2.60s/it]
2024-09-19 14:47:26.557 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:05<00:10,  2.60s/it]
2024-09-19 14:47:29.162 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:07<00:07,  2.60s/it]
2024-09-19 14:47:31.816 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:10<00:05,  2.60s/it]
2024-09-19 14:47:33.118 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:13<00:02,  2.62s/it]
2024-09-19 14:47:33.118 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.17s/it]
2024-09-19 14:47:33.118 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.39s/it]
2024-09-19 14:47:33.119 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:47:33.119 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:35.060 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:47:36.352 [Debug] [ComfyUI-0/STDERR] Prompt executed in 20.35 seconds
2024-09-19 14:47:36.571 [Debug] [ComfyUI-0/STDERR] Requested to load SDXLClipModel
2024-09-19 14:47:36.571 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:36.809 [Info] Generated an image in 162.95 (prep) and 20.47 (gen) seconds
2024-09-19 14:47:36.811 [Debug] [BackendHandler] Backend request #4 found correct model on #0
2024-09-19 14:47:36.811 [Debug] [BackendHandler] Backend request #4 finished.
2024-09-19 14:47:36.812 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:47:37.072 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 1560.802734375 True
2024-09-19 14:47:37.131 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:47:37.131 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:39.219 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:47:39.233 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:47:41.826 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:47:44.436 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:02<00:12,  2.59s/it]
2024-09-19 14:47:47.205 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:05<00:10,  2.60s/it]
2024-09-19 14:47:49.816 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:07<00:08,  2.68s/it]
2024-09-19 14:47:52.402 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:10<00:05,  2.65s/it]
2024-09-19 14:47:53.687 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:13<00:02,  2.63s/it]
2024-09-19 14:47:53.687 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.17s/it]
2024-09-19 14:47:53.687 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.41s/it]
2024-09-19 14:47:53.688 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:47:53.688 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:55.620 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:47:56.887 [Debug] [ComfyUI-0/STDERR] Prompt executed in 20.33 seconds
2024-09-19 14:47:57.097 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:47:57.097 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:47:57.351 [Info] Generated an image in 183.39 (prep) and 20.55 (gen) seconds
2024-09-19 14:47:57.353 [Debug] [BackendHandler] Backend request #5 found correct model on #0
2024-09-19 14:47:57.353 [Debug] [BackendHandler] Backend request #5 finished.
2024-09-19 14:47:57.354 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:47:58.755 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:47:58.767 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:48:01.358 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:48:03.978 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:02<00:12,  2.59s/it]
2024-09-19 14:48:06.621 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:05<00:10,  2.61s/it]
2024-09-19 14:48:09.320 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:07<00:07,  2.62s/it]
2024-09-19 14:48:11.903 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:10<00:05,  2.65s/it]
2024-09-19 14:48:13.197 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:13<00:02,  2.63s/it]
2024-09-19 14:48:13.197 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.17s/it]
2024-09-19 14:48:13.197 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.41s/it]
2024-09-19 14:48:13.198 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:48:13.198 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:48:15.137 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:48:16.407 [Debug] [ComfyUI-0/STDERR] Prompt executed in 19.32 seconds
2024-09-19 14:48:16.613 [Debug] [ComfyUI-0/STDERR] Requested to load SDXLClipModel
2024-09-19 14:48:16.613 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:48:16.897 [Info] Generated an image in 203.91 (prep) and 19.50 (gen) seconds
2024-09-19 14:48:17.093 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 1560.802734375 True
2024-09-19 14:48:17.151 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:48:17.151 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:48:19.200 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:48:19.212 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:48:21.801 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:48:24.396 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:02<00:12,  2.59s/it]
2024-09-19 14:48:26.981 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:05<00:10,  2.59s/it]
2024-09-19 14:48:29.568 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:07<00:07,  2.59s/it]
2024-09-19 14:48:32.156 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:10<00:05,  2.59s/it]
2024-09-19 14:48:33.447 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:12<00:02,  2.59s/it]
2024-09-19 14:48:33.447 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.15s/it]
2024-09-19 14:48:33.447 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:14<00:00,  2.37s/it]
2024-09-19 14:48:33.448 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:48:33.448 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:48:35.336 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:48:36.609 [Debug] [ComfyUI-0/STDERR] Prompt executed in 20.00 seconds
2024-09-19 14:48:36.980 [Info] Generated an image in 223.38 (prep) and 20.16 (gen) seconds
2024-09-19 14:51:09.290 [Info] User local requested 10 images with model 'SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors'...
2024-09-19 14:51:09.291 [Debug] [BackendHandler] Backend request #6 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:09.291 [Debug] [BackendHandler] Backend request #6 found correct model on #0
2024-09-19 14:51:09.291 [Debug] [BackendHandler] Backend request #6 finished.
2024-09-19 14:51:09.322 [Debug] [BackendHandler] Backend request #7 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:09.322 [Debug] [BackendHandler] Backend request #7 found correct model on #0
2024-09-19 14:51:09.322 [Debug] [BackendHandler] Backend request #7 finished.
2024-09-19 14:51:09.353 [Debug] [BackendHandler] Backend request #8 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:09.385 [Debug] [BackendHandler] Backend request #9 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:09.415 [Debug] [BackendHandler] Backend request #10 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:11.341 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:51:11.344 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:51:11.353 [Debug] [ComfyUI-0/STDERR] Requested to load SDXLClipModel
2024-09-19 14:51:11.353 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:11.901 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 1560.802734375 True
2024-09-19 14:51:11.956 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:51:11.956 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:14.081 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:51:14.094 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:51:15.222 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:51:16.303 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.13s/it]
2024-09-19 14:51:17.382 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.10s/it]
2024-09-19 14:51:18.504 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.09s/it]
2024-09-19 14:51:19.590 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.10s/it]
2024-09-19 14:51:20.124 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.10s/it]
2024-09-19 14:51:20.124 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.10it/s]
2024-09-19 14:51:20.124 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.01s/it]
2024-09-19 14:51:20.125 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:51:20.125 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:21.696 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:51:31.192 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:51:31.282 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:51:31.282 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:31.339 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:51:33.181 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:51:33.181 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:34.874 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:51:34.895 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:51:38.006 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:51:38.006 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.11s/it]
2024-09-19 14:51:38.006 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.11s/it]
2024-09-19 14:51:38.007 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:51:38.007 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:39.913 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:51:44.444 [Debug] [ComfyUI-0/STDERR] Prompt executed in 33.10 seconds
2024-09-19 14:51:44.681 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:51:44.681 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:51:45.202 [Info] Generated an image in 2.05 (prep) and 33.74 (gen) seconds
2024-09-19 14:51:45.203 [Debug] [BackendHandler] Backend request #8 found correct model on #0
2024-09-19 14:51:45.203 [Debug] [BackendHandler] Backend request #8 finished.
2024-09-19 14:51:45.203 [Debug] [BackendHandler] Backend request #11 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:51:45.204 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:51:46.384 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:51:46.398 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:51:49.714 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:51:51.026 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:03<00:16,  3.32s/it]
2024-09-19 14:51:52.187 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:04<00:08,  2.14s/it]
2024-09-19 14:51:53.359 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:05<00:05,  1.69s/it]
2024-09-19 14:51:54.491 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:06<00:02,  1.49s/it]
2024-09-19 14:51:55.068 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:08<00:01,  1.36s/it]
2024-09-19 14:51:55.068 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:08<00:00,  1.09s/it]
2024-09-19 14:51:55.068 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:08<00:00,  1.45s/it]
2024-09-19 14:52:03.910 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:52:04.002 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:52:04.002 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:04.064 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:52:05.745 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:52:05.745 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:07.544 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:52:07.559 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:52:10.425 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:52:10.425 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.87s/it]
2024-09-19 14:52:10.425 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.87s/it]
2024-09-19 14:52:10.426 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:52:10.426 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:12.477 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:52:16.012 [Debug] [ComfyUI-0/STDERR] Prompt executed in 31.34 seconds
2024-09-19 14:52:16.245 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:52:16.245 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:16.815 [Info] Generated an image in 35.75 (prep) and 31.61 (gen) seconds
2024-09-19 14:52:16.818 [Debug] [BackendHandler] Backend request #9 found correct model on #0
2024-09-19 14:52:16.818 [Debug] [BackendHandler] Backend request #9 finished.
2024-09-19 14:52:16.818 [Debug] [BackendHandler] Backend request #12 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:52:16.819 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:52:18.069 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:52:18.083 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:52:19.282 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:52:20.387 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.20s/it]
2024-09-19 14:52:21.473 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.14s/it]
2024-09-19 14:52:22.557 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.12s/it]
2024-09-19 14:52:23.644 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.10s/it]
2024-09-19 14:52:24.185 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.10s/it]
2024-09-19 14:52:24.186 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.10it/s]
2024-09-19 14:52:24.186 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.02s/it]
2024-09-19 14:52:32.966 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:52:33.042 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:52:33.042 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:33.101 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:52:34.713 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:52:34.713 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:36.406 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:52:36.419 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:52:39.220 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:52:39.220 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.80s/it]
2024-09-19 14:52:39.220 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.80s/it]
2024-09-19 14:52:39.221 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:52:39.221 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:41.401 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:52:44.794 [Debug] [ComfyUI-0/STDERR] Prompt executed in 28.55 seconds
2024-09-19 14:52:44.998 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:52:44.998 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:52:45.482 [Info] Generated an image in 67.30 (prep) and 28.70 (gen) seconds
2024-09-19 14:52:45.484 [Debug] [BackendHandler] Backend request #10 found correct model on #0
2024-09-19 14:52:45.484 [Debug] [BackendHandler] Backend request #10 finished.
2024-09-19 14:52:45.485 [Debug] [BackendHandler] Backend request #13 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:52:45.485 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:52:46.756 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:52:46.771 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:52:47.913 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:52:49.002 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.14s/it]
2024-09-19 14:52:50.218 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.11s/it]
2024-09-19 14:52:51.335 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.16s/it]
2024-09-19 14:52:52.449 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.14s/it]
2024-09-19 14:52:53.037 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.13s/it]
2024-09-19 14:52:53.038 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.06it/s]
2024-09-19 14:52:53.038 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.04s/it]
2024-09-19 14:53:03.019 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:53:03.132 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:53:03.132 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:03.199 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:53:04.839 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:53:04.839 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:06.736 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:53:06.758 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:53:09.859 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:53:09.859 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.10s/it]
2024-09-19 14:53:09.859 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.10s/it]
2024-09-19 14:53:09.860 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:53:09.860 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:12.133 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:53:15.690 [Debug] [ComfyUI-0/STDERR] Prompt executed in 30.70 seconds
2024-09-19 14:53:15.919 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:53:15.919 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:16.536 [Info] Generated an image in 95.95 (prep) and 31.02 (gen) seconds
2024-09-19 14:53:16.537 [Debug] [BackendHandler] Backend request #11 found correct model on #0
2024-09-19 14:53:16.537 [Debug] [BackendHandler] Backend request #11 finished.
2024-09-19 14:53:16.538 [Debug] [BackendHandler] Backend request #14 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:53:16.538 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:53:17.833 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:53:17.855 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:53:19.108 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:53:20.251 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:06,  1.25s/it]
2024-09-19 14:53:21.440 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.19s/it]
2024-09-19 14:53:22.598 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.19s/it]
2024-09-19 14:53:23.797 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.18s/it]
2024-09-19 14:53:24.432 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.18s/it]
2024-09-19 14:53:24.432 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.00it/s]
2024-09-19 14:53:24.432 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.10s/it]
2024-09-19 14:53:33.778 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:53:33.861 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:53:33.861 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:33.920 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:53:35.541 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:53:35.541 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:37.319 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:53:37.334 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:53:40.246 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:53:40.246 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.91s/it]
2024-09-19 14:53:40.246 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.91s/it]
2024-09-19 14:53:40.247 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:53:40.247 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:42.254 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:53:45.644 [Debug] [ComfyUI-0/STDERR] Prompt executed in 29.73 seconds
2024-09-19 14:53:45.873 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:53:45.873 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:53:46.475 [Info] Generated an image in 126.94 (prep) and 29.97 (gen) seconds
2024-09-19 14:53:46.506 [Debug] [BackendHandler] Backend request #12 found correct model on #0
2024-09-19 14:53:46.506 [Debug] [BackendHandler] Backend request #12 finished.
2024-09-19 14:53:46.507 [Debug] [BackendHandler] Backend request #15 for model SDXL Lightning/juggernautXL_v9Rdphoto2Lightning.safetensors, maxWait=7.00:00:00.
2024-09-19 14:53:46.508 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:53:47.756 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:53:47.770 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:53:48.946 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:53:50.075 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.18s/it]
2024-09-19 14:53:51.222 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.15s/it]
2024-09-19 14:53:52.433 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.15s/it]
2024-09-19 14:53:53.549 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.17s/it]
2024-09-19 14:53:54.100 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.15s/it]
2024-09-19 14:53:54.100 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.06it/s]
2024-09-19 14:53:54.100 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.05s/it]
2024-09-19 14:54:03.658 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:54:03.752 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:54:03.752 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:03.812 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:54:05.437 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:54:05.437 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:07.179 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:54:07.193 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:54:10.340 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:54:10.340 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.15s/it]
2024-09-19 14:54:10.340 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.15s/it]
2024-09-19 14:54:10.341 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:54:10.341 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:12.522 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:54:17.516 [Debug] [ComfyUI-0/STDERR] Prompt executed in 31.65 seconds
2024-09-19 14:54:17.734 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:54:17.734 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:18.369 [Info] Generated an image in 121.11 (prep) and 31.89 (gen) seconds
2024-09-19 14:54:18.372 [Debug] [BackendHandler] Backend request #13 found correct model on #0
2024-09-19 14:54:18.372 [Debug] [BackendHandler] Backend request #13 finished.
2024-09-19 14:54:18.373 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:54:19.615 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:54:19.632 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:54:20.813 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:54:21.939 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.18s/it]
2024-09-19 14:54:23.099 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.15s/it]
2024-09-19 14:54:24.267 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.15s/it]
2024-09-19 14:54:25.381 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.16s/it]
2024-09-19 14:54:25.927 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.14s/it]
2024-09-19 14:54:25.927 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.06it/s]
2024-09-19 14:54:25.927 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.05s/it]
2024-09-19 14:54:35.085 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:54:35.169 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:54:35.169 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:35.231 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:54:36.967 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:54:36.967 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:38.803 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:54:38.823 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:54:41.620 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:54:41.620 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.80s/it]
2024-09-19 14:54:41.620 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.80s/it]
2024-09-19 14:54:41.621 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:54:41.621 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:43.560 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:54:46.916 [Debug] [ComfyUI-0/STDERR] Prompt executed in 29.19 seconds
2024-09-19 14:54:47.169 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:54:47.169 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:54:47.810 [Info] Generated an image in 121.36 (prep) and 29.47 (gen) seconds
2024-09-19 14:54:47.814 [Debug] [BackendHandler] Backend request #14 found correct model on #0
2024-09-19 14:54:47.814 [Debug] [BackendHandler] Backend request #14 finished.
2024-09-19 14:54:47.815 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:54:49.030 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:54:49.044 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:54:50.303 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:54:51.527 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:06,  1.26s/it]
2024-09-19 14:54:52.774 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.24s/it]
2024-09-19 14:54:54.025 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.24s/it]
2024-09-19 14:54:55.155 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.25s/it]
2024-09-19 14:54:55.801 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:06<00:01,  1.20s/it]
2024-09-19 14:54:55.801 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.01s/it]
2024-09-19 14:54:55.801 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.13s/it]
2024-09-19 14:55:05.145 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:55:05.231 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:55:05.231 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:05.296 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:55:06.975 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:55:06.975 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:08.742 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:55:08.759 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:55:11.530 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:55:11.530 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.77s/it]
2024-09-19 14:55:11.530 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.77s/it]
2024-09-19 14:55:11.531 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:55:11.531 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:13.631 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:55:16.959 [Debug] [ComfyUI-0/STDERR] Prompt executed in 29.80 seconds
2024-09-19 14:55:17.211 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:55:17.211 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:17.743 [Info] Generated an image in 122.20 (prep) and 29.94 (gen) seconds
2024-09-19 14:55:17.745 [Debug] [BackendHandler] Backend request #15 found correct model on #0
2024-09-19 14:55:17.745 [Debug] [BackendHandler] Backend request #15 finished.
2024-09-19 14:55:17.747 [Debug] [ComfyUI-0/STDERR] got prompt
2024-09-19 14:55:18.993 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:55:19.006 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:55:20.094 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:55:21.182 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.09s/it]
2024-09-19 14:55:22.356 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.09s/it]
2024-09-19 14:55:23.461 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.13s/it]
2024-09-19 14:55:24.571 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.12s/it]
2024-09-19 14:55:25.115 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.12s/it]
2024-09-19 14:55:25.115 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.09it/s]
2024-09-19 14:55:25.115 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.02s/it]
2024-09-19 14:55:34.155 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:55:34.236 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:55:34.236 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:34.296 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:55:35.888 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:55:35.888 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:37.661 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:55:37.675 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:55:40.523 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:55:40.523 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.85s/it]
2024-09-19 14:55:40.523 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:02<00:00,  2.85s/it]
2024-09-19 14:55:40.524 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:55:40.525 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:43.005 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:55:46.565 [Debug] [ComfyUI-0/STDERR] Prompt executed in 29.36 seconds
2024-09-19 14:55:46.792 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:55:46.792 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:55:47.421 [Info] Generated an image in 121.08 (prep) and 29.63 (gen) seconds
2024-09-19 14:55:48.660 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:55:48.677 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:55:49.769 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/6 [00:00<?, ?it/s]
2024-09-19 14:55:50.880 [Debug] [ComfyUI-0/STDERR]  17%|#6        | 1/6 [00:01<00:05,  1.09s/it]
2024-09-19 14:55:52.041 [Debug] [ComfyUI-0/STDERR]  33%|###3      | 2/6 [00:02<00:04,  1.10s/it]
2024-09-19 14:55:53.210 [Debug] [ComfyUI-0/STDERR]  50%|#####     | 3/6 [00:03<00:03,  1.13s/it]
2024-09-19 14:55:54.397 [Debug] [ComfyUI-0/STDERR]  67%|######6   | 4/6 [00:04<00:02,  1.15s/it]
2024-09-19 14:55:54.941 [Debug] [ComfyUI-0/STDERR]  83%|########3 | 5/6 [00:05<00:01,  1.16s/it]
2024-09-19 14:55:54.941 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.05it/s]
2024-09-19 14:55:54.941 [Debug] [ComfyUI-0/STDERR] 100%|##########| 6/6 [00:06<00:00,  1.04s/it]
2024-09-19 14:56:04.152 [Debug] [ComfyUI-0/STDERR] Unloading models for lowram load.
2024-09-19 14:56:04.238 [Debug] [ComfyUI-0/STDERR] 1 models unloaded.
2024-09-19 14:56:04.238 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:56:04.304 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:56:05.952 [Debug] [ComfyUI-0/STDERR] Requested to load SDXL
2024-09-19 14:56:05.952 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:56:07.875 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0 4897.0483474731445 True
2024-09-19 14:56:07.895 [Debug] [ComfyUI-0/STDERR]
2024-09-19 14:56:11.005 [Debug] [ComfyUI-0/STDERR]   0%|          | 0/1 [00:00<?, ?it/s]
2024-09-19 14:56:11.005 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.11s/it]
2024-09-19 14:56:11.005 [Debug] [ComfyUI-0/STDERR] 100%|##########| 1/1 [00:03<00:00,  3.11s/it]
2024-09-19 14:56:11.005 [Debug] [ComfyUI-0/STDERR] Requested to load AutoencoderKL
2024-09-19 14:56:11.005 [Debug] [ComfyUI-0/STDERR] Loading 1 new model
2024-09-19 14:56:13.187 [Debug] [ComfyUI-0/STDERR] loaded completely 0.0<PHONE_NUMBER>2253418 True
2024-09-19 14:56:16.602 [Debug] [ComfyUI-0/STDERR] Prompt executed in 29.82 seconds
2024-09-19 14:56:17.334 [Info] Generated an image in 120.74 (prep) and 29.95 (gen) seconds
Other
For some reason the pastebin button didn't generate a link for me so I pasted the debug log above.  The log was captured right after experiencing the issue.

if you've used "Reuse Parameters" button recently, you may have copied in a Wildcard Seed parameter, which you'd want to just set back to random. You may also want in that case to add wildcardseed to the Reuse Param Exclude List in user settings

if you've used "Reuse Parameters" button recently, you may have copied in a Wildcard Seed parameter, which you'd want to just set back to random. You may also want in that case to add wildcardseed to the Reuse Param Exclude List in user settings

This might be worth adding to the prompt syntax doc


Fix "unexpected EOF" Error in Bash Subshell Command

Problem Description:
Users experienced an "unexpected EOF while looking for matching \" error when initiating a bash subshell. This was due to improperly escaped quotes in the command string for sourcing the user's .bashrc file and setting the PS1 variable.
Solution:
The fix corrects the command string's escape mechanism for quotes around $HOME/.bashrc. Proper escaping ensures that the shell interprets the entire command correctly, thereby preventing the EOF error.

Relates to #13 #14


97 | Change regression/test_predictors.py to use pytest.approx()

Closes #97
Rather than using pytest-regtest these regression tests (only one of which was failing) now use pytest.approx() to test equality of returned values to their expected values. This has a relative tolerance of 1e-6 and absolute tolerance of 1e-12.
Hopefully this will now consistently pass the Continuous Integration tests.

I had to relax the (relative) tolerance to 1e-4 to get the tests to pass consistently, but you're absolutely right @TuZehai that we should really understand what is causing the difference in the first place.
The strange thing is that simply re-running the tests without changing any seed values, results in the tests passing. :shrug:

Thanks @groadabike I'd like to see if #106 solves this though as I feel its a better solution as it solves the underlying problem rather than fudging it by rounding.

Is this still needed? Has the problem now been fixed by forcing pytorch to use the CPUs during testing?  I'm finding this a bit confusing.  For PR #118 a couple of tests failed but then passed when I reran them. But would rather not fix by simply relaxing the tolerance as that's just hiding the problem.

Hi @jonbarker68 ,
I'm hoping it won't be needed, as you say relaxing tolerance is a bit of a fudge and I was hoping #109 solved this by making all modules have the ability to explicitly choose the device (cpu or cuda) and then force the tests to use them.
That sounds as though it may not have worked though as your #118 failed and needed re-running.
I'll close this PR for now though and see if I can solve this properly.


refactor: pallet-roles

Codecov Report

Merging #152 (5ed8901) into main (5b8f2bd) will decrease coverage by 0.19%.
The diff coverage is 86.36%.

@@            Coverage Diff             @@
##             main     #152      +/-   ##
==========================================
- Coverage   71.25%   71.05%   -0.20%
==========================================
  Files          45       45
  Lines        3280     3272       -8
==========================================
- Hits         2337     2325      -12
- Misses        943      947       +4

Impacted Files
Coverage Δ

pallets/roles/src/functions.rs
90.00% <76.92%> (-6.16%)
:arrow_down:

pallets/roles/src/lib.rs
78.26% <100.00%> (ø)

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

no worries. I'm looking at other pallets.


No Menu bar in Chapter 5 end solution

Hi, There, I encounter difficult in getting chapter 6 work from my codebase. so I pull your repo and try to use chapter 5 as starting point to work on chapter 6. to my surprise, Chapter 5 codebase does not have menu bar when I run it. please help

It seems to be CSS missing in the repo, really strange.
I have added the CSS.
Hopefully, it works as you expect now =)


crash on startup fabric 1.20.1

crash-2024-02-17_22.47.49-client.txt

You have Indium for 1.20.4 installed

You have installed the latest version 1.6.17 of Iris, and it is not compatible with this mod. The issue has been addressed in version 0.2.4.


(no issue) Remove old tunnels

Hi There,
Great integration. In past I was testing a lot how tunnels working etc. Used RPI, my iMac etc... Now I'm settled and my tunnel is running perfect on my NAS.
After the integration has been done I see lots of old inactive tunnels. On the Portal of Cloudflare I can't find them.
Do you know maybe how I can remove those old tunnels with all kind of names: test, rpi4test, cf-test etc etc...
Greets

Hello @poudenes,
Thank you very much for your comment. It's a small error in the integration, I need to add a parameter to remove the old tunnels from the API.
Sorry for the inconvenience. Lately, I haven't had much time, but I'll get it fixed this week.

Thank you very much @jorgwolski.

Please, reinstall the new version 2.1.0 from scratch.

An automated manager has been implemented to add new tunnels without the need for manual reloading of the integration.
Tunnels are now grouped under a single device.
It is now possible to remove old tunnels.
New debug logs have been added to enhance error traceability.

Thank you, the 2.1.3 release fixed the problem :-)


fix wrong result of 0 / decimal and 0 % decimal

What is changed and how it works?

Issue Number: Close #15631
What's Changed:
just like https://github.com/pingcap/tidb/blob/241e8464cde0ff4f40056d5ca2c8855f030f5485/types/mydecimal.go#L2162-L2166
manual test

Related changes

PR to update pingcap/docs/pingcap/docs-cn:
Need to cherry-pick to the release branch

Check List
Tests

Unit test
Integration test
Manual test (add detailed scripts or steps below)
No code

Side effects

Performance regression

Consumes more CPU
Consumes more MEM

Breaking backward compatibility

Release note
None

/test

/cc @windtalker

/cc @windtalker @gengliqi

/cc @wshwsh12

/hold
until code freezen

/check-issue-triage-complete

/merge


chore(boojum): Merge main into boojum-integration

What ❔
Merge main branch into boojum-integration
Why ❔
To not get far behind
Checklist

[ ] PR title corresponds to the body of PR (we generate changelog entries from PRs).
[ ] Tests for the changes have been added / updated.
[ ] Documentation comments have been added / updated.
[ ] Code has been formatted via zk fmt and zk lint.

Since total majority of the changes here are already present in the main branch and unit/integration tests pass, I think it is fine to just merge it


Feature Request: Integrate macvendors.com API for MAC Address Manufacturer Lookup in Bermuda

Title: Integrate macvendors.com API for MAC Address Manufacturer Lookup in Bermuda

Is your feature request related to a problem? Please describe.
I'm always frustrated when I see a MAC address in my Home Assistant but cannot easily identify the device manufacturer. This makes it difficult to quickly recognize and manage devices on my network.
Describe the solution you'd like
I would like to see an integration of the API from macvendors.com into Bermuda. This would allow Bermuda to display the manufacturer name for devices based on their MAC address. For privacy reasons, only the first three hexadecimal values of the MAC address should be sent to the API (e.g., https://api.macvendors.com/FC-A1-3E), which is sufficient to determine the manufacturer and avoids sending the full MAC address.
Describe alternatives you've considered

Manually looking up MAC addresses on websites like macvendors.com, which is time-consuming and inefficient.
Using local databases for MAC address lookups, but they may not be as up-to-date as the online API.

Additional context
Integrating this feature will enhance user experience by providing quick and easy identification of devices. However, it's important to highlight potential privacy concerns and ensure users are aware of the data being sent. Only transmitting the first three hexadecimal values of the MAC address mitigates these concerns while still providing useful information.
URL: https://macvendors.com/api

This would definitely be handy.
I sort of feel like it should be a separate integration in HA, and then it could maintain a central cache of records that other integrations like Bermuda could use. The API is limited to 1000req/day at a rate of 1req/second. So to be helpful in (say) Bermuda's 'Add devices' list we couldn't wait for it to query all the prefixes when the user clicks the button (at one prefix per second) so instead we'd have to look up prefixes as they appear, rate-limit ourselves to 1/s, and store the results locally, ready for when a user wants to look at them.
This is certainly do-able, and I think would be a great addition, but it feels a bit outside of Bermuda's scope. If someone created an integration to do this I would definitely be interested in integrating with it, but the effort required to do it well is more work than I'm ready to put into that versus some other key features for Bermuda. I'd consider it if I ran out of other goals :-)
It looks like core used to have this for ble device tracker but removed it: https://github.com/home-assistant/core/pull/13788 - looking at the diff there might give someone a great head-start on writing a custom integration themselves.
Another possibility to consider is to see if anyone has written a user-script for it, at least that way your browser could offer a right-click or tool-tip lookup of the info. Not ideal, but might remove a small part of the annoyance.
I'm going to close this as out of scope / not planned, but feel free to raise an issue if there's an integration I can integrate with to provide it.


add m multiline switch to regex for tor 2.5.x

I had a chance to actually test this with tor 2.5.x and because of additional spew generated by tor, the 'm' multi-line switch is required on the regex.

Ok, thanks for the fix! :)


Fix file permissions in source assembly tarball

Fix permissions mangling caused by the latest versions of the assembly
plugin.
Use maven-assembly-plugin-3.1.1 because of MASSEMBLY-941
https://issues.apache.org/jira/browse/MASSEMBLY-941

I ran the following to reproduce and verify the fix:
mvn clean package -P\!autoformat,thrift,sunny,apache-release,accumulo-release,skip-plugin-its-with-skipTests

After the build finished got past the assembly and entered into the first child module, I just hit Ctrl-C to abort the build, and inspect the tarball in target/. I unpacked the tarball and looked at the files in the assemble/bin directory to verify the file modes.

I verified that the permissions in accumulo-1.10.0-SNAPSHOT-source-release.tar.gz were correct.  FYI the permissions of the scripts in the binary tarball were unaffected between the versions of the plugin.

the permissions of the scripts in the binary tarball were unaffected between the versions of the plugin.

That's because we specify the file mode explicitly in the binary tarball for scripts we include there. For the source tarball, it should simply preserve the existing file modes.


Change base URLs for NCBI services to use https instead of http

To improve end user security and privacy, and by Federal government mandate OMB memo M-08-023, NCBI will be moving all web services to HTTPS-only by September 30, 2016.
Looking over the biojava source code, I notice that the eutilities base URL starts with http://
https://github.com/biojava/biojava/blob/master/biojava-core/src/main/java/org/biojava/nbio/core/sequence/loader/GenbankProxySequenceReader.java#L59
It needs to be updated to use https:// URLs instead. While we intend to provide redirects for GET and HEAD, POST and other non-safe methods will likely not be redirected; in particular, epost will cease to function over http when we move to https.
For more information:
http://www.ncbi.nlm.nih.gov/news/06-10-2016-ncbi-https/
https://https.cio.gov/
subscribe to the utilities-announce mailing list at https://www.ncbi.nlm.nih.gov/mailman/listinfo/utilities-announce

Thank you! Is there a release number for biogo that I can point people to?

There is no release number, just a promise of API stability. The most recent HEAD should be what people use, This is what go get github.com/biogo/ncbi/... will pull.

On API stability, what is the situation with the v2 BLAST and eutils APIs?

We have no planned changes to any APIs relative to the http-to-https transition, other than the change in service URL. If your service points to https on the NCBI site, the services should work as before. When NCBI's http servers begin redirecting requests to https (or rejecting them, as for POST) , services based on your library will be unaffected, because they will already be using https.
Please email<EMAIL_ADDRESS>if you encounter problems with NCBI services after updating to https. Thanks for your prompt communication.

@elucify I was wondering about XML2/JSON2 in blast and the version=2 in the e-utilities. I've looked into the BLAST changes yesterday and was wondering if there is any good documentation and whether there will be a mandated shift. Unless there is, the work deciphering the documentation that does exist and the API breakage here, it is not worth the effort. Similarly for the eutilities version 2 extension.

@elucify ping


Permission denied: '/tmp/mycroft/bus.pid'

Discussion from this Matrix thread.
2023-06-23 13:17:11 ovos_messagebus  | Traceback (most recent call last):
2023-06-23 13:17:11 ovos_messagebus  |   File "/home/ovos/.venv/bin/ovos-messagebus", line 8, in <module>
2023-06-23 13:17:11 ovos_messagebus  |     sys.exit(main())
2023-06-23 13:17:11 ovos_messagebus  |              ^^^^^^
2023-06-23 13:17:11 ovos_messagebus  |   File "/home/ovos/.venv/lib/python3.11/site-packages/ovos_messagebus/__main__.py", line 47, in main
2023-06-23 13:17:11 ovos_messagebus  |     PIDLock("bus")
2023-06-23 13:17:11 ovos_messagebus  |   File "/home/ovos/.venv/lib/python3.11/site-packages/ovos_utils/process_utils.py", line 324, in __init__
2023-06-23 13:17:11 ovos_messagebus  |     self.create()
2023-06-23 13:17:11 ovos_messagebus  |   File "/home/ovos/.venv/lib/python3.11/site-packages/ovos_utils/process_utils.py", line 377, in create
2023-06-23 13:17:11 ovos_messagebus  |     self.touch()
2023-06-23 13:17:11 ovos_messagebus  |   File "/home/ovos/.venv/lib/python3.11/site-packages/ovos_utils/process_utils.py", line 364, in touch
2023-06-23 13:17:11 ovos_messagebus  |     with open(self.path, 'w') as L:
2023-06-23 13:17:11 ovos_messagebus  |          ^^^^^^^^^^^^^^^^^^^^
2023-06-23 13:17:11 ovos_messagebus  | PermissionError: [Errno 13] Permission denied: '/tmp/mycroft/bus.pid'
1970-01-01 01:00:00 ovos_messagebus exited with code 1

tvh@debian:~/ovos$ ls -l /home/tvh/ovos
drwxr-xr-x 2 tvh tvh 4096 22 jun 10:49 config
drwxr-xr-x 2 tvh tvh 4096 22 jun 10:49 share
drwxr-xr-x 2 tvh tvh 4096 22 jun 10:49 tmp

tvh@debian:~/ovos$ stat /home/tvh/ovos

  Bestand: /home/tvh/ovos
  Grootte: 4096           Blokken: 8          IO-blok: 4096   map
 Apparaat: 259/2   Inode: 5505205      Koppelingen: 5
  Rechten: (0755/drwxr-xr-x)   UID: ( 1000/     tvh)   GID: ( 1000/     tvh)
  Toegang: 2023-06-23 12:09:03.415742823 +0200
Gewijzigd: 2023-06-22 10:49:21.793411529 +0200
Veranderd: 2023-06-23 11:58:49.783044519 +0200
 Ontstaan: 2023-06-22 10:49:21.793411529 +0200

tvh@debian:~/ovos$ id
UID=1000(tvh) GID=1000(tvh) groepen=1000(tvh),24(cdrom),25(floppy),27(sudo),29(audio),30(dip),44(video),46(plugdev),100(users),106(netdev),111(bluetooth),113(lpadmin),116(scanner),994(docker)

In this specific case, the issue appears only with Docker Desktop (tested on Debian & Fedora) but not Docker Engine.

Docker Desktop is doing some magic to change the permissions, I guess because it's running inside a VM.
If I run chown -R ovos:ovos /tmp when startingthe container, the permission on my host for ~/ovos/tmp/ directory changed to something unknown UID on my system (which is related to the VM created by Docker Desktop).
Before running the container.
ls -l ~/ovos/tmp/ -d
drwxr-xr-x. 1 goldyfruit goldyfruit 0 Jun 23 10:11 /home/goldyfruit/ovos/tmp/

After running the container.
ls -l ~/ovos/tmp/ -d
drwxr-xr-x. 1<PHONE_NUMBER>99 14 Jun 23 10:12 /home/goldyfruit/ovos/tmp/

Aside the Docker Desktop permission issue, the root cause is related to the fact that Open Voice OS is using a /tmp directory to share information across the different services.
The only remaining pieces which require /tmp are related to ipc. I think I saw some PR about that maybe @JarbasAl will have more information about that.
In the meantime, I sent a PR to fix the PID, this will fix the current issue with the messagebus.

@timonvanhasselt Adding you to the conversation :+1:

In the meantime, I sent a PR to fix the PID, this will fix the current issue with the messagebus.

PR has been merged and news images have been build. You should not get this error anymore but might get different ones.

This is the PR about the IPC https://github.com/OpenVoiceOS/OVOS-workshop/pull/102


Envoy-update entry method type

Correcting a type error

When submitting a connector, please make sure that you follow the requirements below, otherwise your PR might be rejected. We want to make you have a well-built connector, a smooth certification experience, and your users are happy :)
If this is your first time submitting to GitHub and you need some help, please sign up for this session.

[x] I attest that the connector doesn't exist on the Power Platform today. I've verified by checking the pull requests in GitHub and by searching for the connector on the platform or in the documentation.
[x] I attest that the connector works and I verified by deploying and testing all the operations.
[x] I attest that I have added detailed descriptions for all operations and parameters in the swagger file.
[x] I attest that I have added response schemas to my actions, unless the response schema is dynamic.
[x] I validated the swagger file, apiDefinition.swagger.json, by running paconn validate command.
[x] If this is a certified connector, I confirm that apiProperties.json has a valid brand color and doesn't use an invalid brand color, #007ee5 or #ffffff. If this is an independent publisher connector, I confirm that I am not submitting a connector icon.

If you are an Independent Publisher, you must also attest to the following to ensure a smooth publishing process:

[ ] I have named this PR after the pattern of "Connector Name (Independent Publisher)" ex: HubSpot Marketing (Independent Publisher)
[ ] Within this PR markdown file, I have pasted screenshots that show: 3 unique operations (actions/triggers) working within a Flow. This can be in one flow or part of multiple flows. For each one of those flows, I have pasted in screenshots of the Flow succeeding.
[ ] Within this PR markdown file, I have pasted in a screenshot from the Test operations section within the Custom Connector UI.
[ ] If the connector uses OAuth, I have provided detailed steps on how to create an app in the readme.md.

@Amjed-Ayoub I wanted to check and make sure there wasn't anything else you needed from me on this?

@Amjed-Ayoub what are the next steps to getting this change introduced? We are aware that it's a breaking change, but it's also currently broken for customers so the update needs to happen. Thanks in advance!

@iannater thank you so much for the clarification. and for confirming this change.

@Amjed-Ayoub if there is another change that we want to make not related to this bug but another one can I update this PR or should I do this as a separate PR?

@Amjed-Ayoub Do I need to wait till a previous change is fully deployed before I can update the connector? I can't seem to edit this right now but noticed that it isn't "certified" yet and still in "Production Deployment".

Hello @iannater yes you are correct. but we certified and completed the current deployment. you may make a new submission :-).
Thank you so much.

@Amjed-Ayoub I am getting this error?

@iannater can you please share the commit ID you are using? is it "45fac2b908bb6b697559cfbc7527a83c7ea8f582"?

@Amjed-Ayoub  Yes, that is correct. I grabbed it from here.

@iannater please try with this "b418fa39b94d818d7fb2cf794147f69c14d46ccc"

Hey @Amjed-Ayoub still getting an error.

Hey @Amjed-Ayoub still getting an error

@iannater one last time please, may I ask you please to download the connector files from this repository and add your icon and the intro.md file and have them in a .zip format. Then please try to submit using the second option "Submit by uploading a .zip archive".
I hope that helps.
Thank you so much again for your patience.

@Amjed-Ayoub I downloaded the connector file that I modified and uploaded it with the other documents and got this error?

@iannater can you please start an email thread with us regarding this. and please share the .zip folder in the email.
I look forward to hearing from you.
Thank you so much again.

@Amjed-Ayoub what email should I be using for this thread?

@Amjed-Ayoub what email should I be using for this thread?

Connector Partner Mgmt Team<EMAIL_ADDRESS>

@Amjed-Ayoub I have sent 4 emails now and no one has responded to me. What am I supposed to do?

Hello @iannater thank you so much but I have responded to your email ever time and provided a zip folder to make the submission with. please check you spam folder.

@iannater
Sorry for delay in response. We are updating the status on ISV studio activity control. Currently it is waiting on partner for verifying changes on Preview. Could you please check ISV activity control and respond accordingly.
Thanks.

@iannater Gentle reminder to test your connector in Preview and update us in ISV activity control, so that we can start with deployment process.

Hello,
Thanks for the reminder, it's on my list and I am hoping to get to it this week.
Ian
On Tue, Aug 1, 2023 at 1:35 AM SaiChander-MS @.***>  wrote:
@iannater  Gentle reminder to test your connector in Preview and update us in
ISV activity control, so that we can start with deployment process.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you were mentioned.Message ID:
@.***>
Ian Nater
Customer Support Engineer
@.***

Hello,
We tested this and it is working. Please push it to prod.
Thanks,
Ian
On Tue, Aug 1, 2023 at 9:22 AM Ian Nater @.***>  wrote:
Hello,
Thanks for the reminder, it's on my list and I am hoping to get to it this week.
Ian
On Tue, Aug 1, 2023 at 1:35 AM SaiChander-MS @.***>  wrote:
@iannater  Gentle reminder to test your connector in Preview and update us in
ISV activity control, so that we can start with deployment process.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you were mentioned.Message ID:
@.***>
Ian Nater
Customer Support Engineer
@.***
Ian Nater
Customer Support Engineer
@.***


CSGO Game page

Add Modal to the page
Add csgo ranks
Add a submit button
Link the routes
Create the page for League and connect it to the leaderboard.

Solved by Pull Request #9


Fixed typos in README.md

Description
Fixed two typos in the README.md file. Now this file is more readable.
Checklist

[x] Code compiles correctly
[x] Created tests which fail without the change (if possible)
[x] All tests passing
[x] Extended the README / documentation, if necessary

❤Thank you!

Thank you!


Symfony Bundle for render graphs

Hola!
I make Symfony bundle based c3js API.
I have not seen bundles for this library, which I like very much and decided to make integration with symfony.
https://github.com/muspelheim/C3ChartsBundle
@masayuki0812 what you think about this?

404 error. Deleted project?

@ffuentes, no, but I make it private about couple days


Question about Training Time

Hi,
Great good. Congrats.
I would like to train your model on this fruits dataset: https://www.kaggle.com/moltean/fruits
It has about 80K images, 100 classes.
How long do you think it would take to train on Colab GANs for all classes? Does the model train one class at a time or does it train multiple classes all at once?
Thanks for the help and great work!

The StyleGAN2 model is mainly designed for unconditional generation, so either training one class at a time or training all classes regardless of the labels is supported currently. You may also try the BigGAN model, which is for conditional generation. As the dataset is quite large, it may take long to converge. I'm afraid that training on Colab may take days or even weeks.

Ok really good job.
So your repo is just image augmentation right? If I want to try to implement a similar thing on a basic generator/discriminator model where should I put the augmentation?
Should I do both augmentation on the training image and the generated image?
Thanks.

Yes, augment both reals and fakes, during both generator and discriminator training. We also explain this (here)[https://github.com/mit-han-lab/data-efficient-gans#using-diffaugment-for-your-own-training].

Sounds good. You probably can make it even better right if you try other augmentation like shift scale rotate, cutmix, mixin etc.. right?

Not every augmentation works. We have at least tried scaling and rotation and didn't found them helpful. I recommend starting with our given augmentations. Besides, even though the entire training may take long, I still recommend beginning with our DiffAugment-stylegan2 or DiffAugment-biggan repo - you will see reasonable results in a likely short time.

Hi,
Great job. Yea like I mentioned, I think you can improve the results trying other things such as Mixin, cutmix etc.
Hey I'm trying to create a GIF like yours. Can you tell me in plain english how to do this?
Thanks and good work.

Yes, we have provided generate_gif.py as explained here.

Thanks, I think we can close if you want, Good work.


Unit test failure: RemoteInstallAction and LocalInstallAction

Refs https://dev.azure.com/monacotools/Monaco/_build/results?buildId=187669&view=logs&j=a5d99aad-4929-5289-bf4a-26b78032353d&t=b317406d-66a0-580e-b921-bd6e7e55936d
1) RemoteInstallAction
       "before each" hook: setupTest for "Test remote install action is disabled for local ui extension if it is also installed in remote":

      + expected - actual

  Error: Timeout of 5000ms exceeded. For async tests and hooks, ensure "done()" is called; if returning a Promise, ensure it resolves.

  2) LocalInstallAction
       "before each" hook: setupTest for "Test local install action is enabled for remote ui+workspace extension":

      + expected - actual

  Error: Timeout of 5000ms exceeded. For async tests and hooks, ensure "done()" is called; if returning a Promise, ensure it resolves.

before each hook is a set up task which is not a long running operation and do not see a reason why it takes more than 5s. I also cant repo it locally. So, I think this is a random failure. Hence closing this. If I see it more number of times I will add logs then to understand what is happening


A11y_AzureDataStudio(Schema,Dacpac,Backup)_Re compare pop up_Screen reader : Voice Over reads the Re compare popup as a empty table.

“Check out Accessibility Insights! - Identify accessibility bugs before check-in and make bug fixing faster and easier.”
#A11yMAS; #A11yTCS; #A11y_ADS_Schema_Dacpac_Backup; #Azure Data Studio; #DesktopApp; #MAC; #MAS1.3.1; #VoiceOver;
Environment Details:
Application Name: Azure Data Studio
Application Version: 1.9.0 (user setup)
Commit: 78a42e1
Electron: 3.1.8
Node.js: 10.2.0
V8: 6.6.346.32
OS: Windows_NT x64 10.0.18362
Additional Details:
MAC 10.14.6
MAS 1.3.1
Tools : Voice over
Repro Steps:

Launch Azure Data Studio application.
Connect to server with windows credentials.
Navigate to Extensions from left menu.
Search & install Schema Compare extension.
Navigate to Connections from left menu.
Expand the server connected in step 2.
Right click an on prem database and select Schema compare from Context menu.
Navigate till Select Source or Select Target & hit enter.
Provide all the details for Source & Target.
Navigate till Ok button & hit enter.
Navigate till Options menu from Schema compare Menu bar & hit enter.
Check or uncheck some options & hit Ok.
Validate Re compare pop will open
Start voice over and use control+option+arrow keys to read out the content of the popup.

Actual:
When the re compare popup is opened Voice over reads "Notification toast.. empty table" which is not correct.
Expected:
When the popup is opened voice over should read the title of the popup "Options has changed .." and it should not read the empty table.
Recommendations:
Refer below link which is repository of bug fixes code snippets: https://microsoft.sharepoint.com/teams/msenable/mas/pages/browse-fixes.aspx
User Impact:
User will not be able to know the information about the title of the popup.
MAS Reference:
MAS1.3.1 : https://microsoft.sharepoint.com/:w:/r/teams/msenable/_layouts/15/WopiFrame.aspx?sourcedoc={54f28d1f-a2d1-4dcd-84e1-5c9b87e8aba4}
Attachment for Reference:

Upstream from VSCode. Filed as https://github.com/microsoft/vscode/issues/80017

Marking this for Exclusion. As stated above, this is an upstream issue with Electron and is being tracked here: https://github.com/microsoft/vscode/issues/80017.
Importance of Experience: minimal
Schema compare feature is an extension, not part of ADS core, thus does not affect all users. This pop-up toast notification is also not a critical experience for schema compares; it provides a convenient way to execute a Compare after modifying options, but the same could be achieved by directly selecting "Compare" without the need for the pop-up.
Quality of Experience: not impacted
Screen reader users may be slightly confused about the state of the screen when the toast notification appears. However, the notification is not necessary to the scenario -- when a user modifies Options, the notification pops up to ask the user whether they want to see the results of the Schema Compare with the modified options. Simple workaround: after modifying options, instead of accessing controls in the toast notification, users can directly select "Compare" to recompare.
AAT Conformance Doc: https://cela-ra-aat-prod.azurewebsites.net/#/workflow/ee5c9007-47f4-4fcb-a4d7-a998a617edde?tab=default
@fsteffi, please work with a SME to review.

Closing as upstream.

Approved as non blocking.


For example
cpdef enum Eggs
    SOFT
    HARD
    SCRAMBLED

produces three constants with int values that print as strings,
and a type Eggs with attributes Eggs.SOFT, etc. and list(Eggs)
giving the set of all enum values.  Instantiating Eggs with a
numeric or string value will return the appropriate constant.

Really nice feature overall. Worth documenting.

How does this relate to PEP 435 enums, BTW? Would it be possible to use those instead? Or at least inherit from them somehow?

Oh, I hadn't seen those. I'll make it compatible, looking into actual
inheritance for Python >= 3.4. (I think our cdef enums still need to be
IntEnums...)
On Sun, Sep 6, 2015 at 12:08 PM, scoder<EMAIL_ADDRESS>wrote:

How does this relate to PEP 435 enums, BTW? Would it be possible to use
those instead? Or at least inherit from them somehow?
—
Reply to this email directly or view it on GitHub
https://github.com/cython/cython/pull/437#issuecomment-138114985.

Looks good to me overall and can be merged. github says it's conflicting, but that might just be the changelog entry.


Try allowing generalized join for all pool types

Description
Please include a summary of the change and if relevant which issue is fixed. Please also include relevant motivation and context.
Type of change

[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] Dependency changes
[ ] Code refactor / cleanup
[ ] Documentation or wording changes
[ ] Other

How should this be tested?
Please provide instructions so we can test. Please also list any relevant details for your test configuration.

[ ] Test A
[ ] Test B

Visual context
Please provide any relevant visual context for UI changes or additions. This could be static screenshots or a loom screencast.
Checklist:

[ ] I have performed a self-review of my own code
[ ] I have requested at least 1 review (If the PR is significant enough, use best judgement here)
[ ] I have commented my code where relevant, particularly in hard-to-understand areas
[ ] If package-lock.json has changes, it was intentional.
[ ] The base of this PR is master if hotfix, develop if not

Don't think we're ready for this yet. Going to close to clean things up.


Change opengeo geodb used

To one that is still available

Let's avoid third-party snapshot dependencies, because they expose us to the risk of non-repeatable builds. Let's consider a different solution. We can downgrade to version 0.7 or, preferably, package in our own copy of 0.8.

Closing - Lazar will copy the version he has into a lib/ directory and make a system dependency on that in the pom.


fix: update ux symbol

https://coveord.atlassian.net/browse/CDX-1152

Proposed changes
Fix the condition that determine the spinner symbol at the command termination.
Since anything can bubble up to the finally method, it's better to simply check if the error is undefined or not.
Example:

A command that executes an HTTPs call.
Axios returns an error (as an JSON object)
The JSON object bubbles up to the base class
The finally prints a success symbol because the JSON object is not an instance of Error.

Breaking changes

Testing

[ ] Unit Tests:

[ ] Functionnal Tests:

[x] Manual Tests:

How could it be tested 🤔

How could it be tested 🤔

Manual test:
Create a Snapshot with a key missing the resources privileges


Removing Material-ui datepicker

Checklist
(Check off all the items before submitting)

[x] Build process is done without errors and all tests pass in /lib directory.
[x] Self-reviewed the code prior to submitting.
[x] Meets accessibility standards.
[x] Added/updated documentation to /website as needed.
[x] Added/updated tests as needed.

Purpose
Material-ui datepicker removed and added month picker to the new calendar
Additional context
Dayjs has been used to format and help to calculate the correct date within the calendar while navigating.
Closes #1368 #855

Width of the calendar is different comparing it with the designs:

There is more space in the sides than in the design:

Adding box-sizing: border-box; in the DatePicker div fixes the problem.

This branch is gonna be merged but there is still some work to be done.


There is bug url not to domnload.

It is http://www.iqiyi.com/v_19rrgzdp30.html#vfrm=2-3-0-1
It can only download ads!!!

Duplicate of #9839.


Benchmarking: mention that both input and output need to be in a black_box()

Rust has recently stabilized std::hint::black_box.
It's a common mistake when writing micro-benchmarks to forget to put both the inputs and outputs into a black_box().
More info: https://gendignoux.com/blog/2022/01/31/rust-benchmarks.html

Thanks for the suggestion, that's an interesting blog post.
The perf book currently doesn't mention black_box. The benchmarking chapter is deliberately high level, because getting into detail there could double the length of the book! So I won't add anything here. But I did make a small change to the benchmarking chapter, including changing the link about benchmark tests to this. If that page has any shortcomings in its, please feel free to file an issue or PR against it :)
[https://doc.rust-lang.org/nightly/unstable-book/library-features/test.html]

I thought it's worth mentioning since it's such a common pitfall.

std::hint::black_box is now available on stable Rust, too.


Possible mitigations

This is a ltitle unrelated, but I still wanted to ask you if you know of any ways to mask the info picked up by the app? There are several IDs and sensors that can be used along with the list of apps installed to fingerprint the device. I'm wondering whether there's a safe way to spoof this data without breaking any apps.

Sorry, your question is really unanswerable. TrustDevice is committed to providing global developers, entrepreneurs and users with compliant, secure and intelligent terminal solutions as well as unique and durable digital device IDs. Besides the GitHub open source version, more information about the professional version can be found on the official website. I hope it helps you.


Can I use facebook or google oauth2 login without cookie?

Can I use facebook or google oauth2 login without cookie to protect my restful api?
such as put the accesstoken into the autorization header？

It should be possible to craft a jwt to exchange for an access token. But it is very much dependent on what grant types these auth providers support.  I think Google only supports code grant but there is a service account option.
https://developers.google.com/identity/protocols/OAuth2ServiceAccount

Not the ones we provide, they're designed for an interactive browser flow. What you want is a client SDK from facebook or google that gets you the JWT token, put it in the auth header, and then use the JwtBearer auth handler on the server turn that into a ClaimsPrincipal.


FlameOxygen example fails to get dependencies

Current bug behaviour
Opening the flame oxygen example and running flutter pub get fails.
Expected behaviour
There should be no conflicting dependencies and flutter pub get should smoothly run.
Steps to reproduce

Open the Flame Oxygen example (flame_oxygen/example)
Run flutter pub get

Flutter doctor output

 Flutter doctor output
[✓] Flutter (Channel stable, 2.10.1, on macOS 12.2 21D49 darwin-arm, locale en-GB)
    • Flutter version 2.10.1 at /Users/ale/Developer/flutter
    • Upstream repository https://github.com/flutter/flutter.git
    • Framework revision db747aa133 (8 weeks ago), 2022-02-09 13:57:35 -0600
    • Engine revision ab46186b24
    • Dart version 2.16.1
    • DevTools version 2.9.2

[✓] Android toolchain - develop for Android devices (Android SDK version 30.0.3)
    • Android SDK at /Users/ale/Library/Android/sdk
    • Platform android-32, build-tools 30.0.3
    • Java binary at: /Applications/Android Studio.app/Contents/jre/jdk/Contents/Home/bin/java
    • Java version OpenJDK Runtime Environment (build 11.0.8+10-b944.6916264)
    • All Android licenses accepted.

[✓] Xcode - develop for iOS and macOS (Xcode 13.2.1)
    • Xcode at /Applications/Xcode.app/Contents/Developer
    • CocoaPods version 1.11.2

[✓] Chrome - develop for the web
    • Chrome at /Applications/Google Chrome.app/Contents/MacOS/Google Chrome

[✓] Android Studio (version 4.2)
    • Android Studio at /Applications/Android Studio.app/Contents
    • Flutter plugin can be installed from:
      🔨 https://plugins.jetbrains.com/plugin/9212-flutter
    • Dart plugin can be installed from:
      🔨 https://plugins.jetbrains.com/plugin/6351-dart
    • Java version OpenJDK Runtime Environment (build 11.0.8+10-b944.6916264)

[✓] VS Code (version 1.64.2)
    • VS Code at /Applications/Visual Studio Code.app/Contents
    • Flutter extension version 3.36.0

[✓] Connected device (1 available)
    • Chrome (web) • chrome • web-javascript • Google Chrome

[✓] HTTP Host Availability
    • All required HTTP hosts are available

• No issues found!

Log information

 Log information
Running "flutter pub get" in example...
Because every version of flame_oxygen from path depends on flame from hosted and flame_oxygen_example depends on flame from path, flame_oxygen from path is forbidden.
Running "flutter pub get" in example...
So, because flame_oxygen_example depends on flame_oxygen from path, version solving failed.
Running "flutter pub get" in example...
pub get failed (1; So, because flame_oxygen_example depends on
flame_oxygen from path, version solving failed.)

More information

Does this also happen if you run melos bootstrap, instead of pub get?
https://github.com/flame-engine/flame/blob/main/CONTRIBUTING.md#environment-setup

Thanks @spydon.
I personally don't use melos. I think it might be a good tool. However, personally, I think it would be nicer to don't directly depend on melos for this kind of thing to work. I think this because melos increases the barrier of entry for new contributors or developers that are simply interested in the library and want to simply run an example from their desired IDE.
In this scenario, it's easier to adjust the version from path to number and get it working over installing melos and trying to learn what melos can and is doing.
Feel free to close this issue.

@spydon What if we integrated the examples into the docs, so that they can be run directly from the browser?

@spydon What if we integrated the examples into the docs, so that they can be run directly from the browser?

I think that is good for smaller examples, but I think the examples site is better for larger examples, which will be coming (small reference games etc).


revert memory

need to figure out a way to revert the changed nop
will be helpful when users would like to change back to the default camera angle
was thinking this could be done by setting an int as the ReadProcessMemory and pushing it back to writeProcessMemory ?

 char defaultArray = ReadProcessMemory();

could that even work?
let's find out

testing and I believe this method is incorrect
maybe storing the original data?

Yes you can read memory like that, however the return wouldn't do it, you need to pass pointer to buffer it can write to as an argument

haha yes! i was looking for google keyword


Wrong code status in "Character" and "World" endpoints

Request /v4/world/{name} with not existing world return status code 400(Bad Request) instead of 404(Not Found)
e.g. "https://api.tibiadata.com/v4/world/Anticaa"
return:

{
  "information": {
    "api": {
      "version": 4,
      "release": "4.0.2",
      "commit": "ced9b5f8c1929c079756998f37a0f560bc643c2d"
    },
    "timestamp": "2024-01-09T11:09:50Z",
    "status": {
      "http_code": 400,
      "error": 11002,
      "message": "the provided world does not exist"
    }
  }
}

Request /v4/character/{name} with not existing character return status code 502(Bad Gateway) instead of 404(Not Found)
e.g. "https://api.tibiadata.com/v4/character/Trollefara"
return:

{
  "information": {
    "api": {
      "version": 4,
      "release": "4.0.2",
      "commit": "ced9b5f8c1929c079756998f37a0f560bc643c2d"
    },
    "timestamp": "2024-01-09T11:11:31Z",
    "status": {
      "http_code": 502,
      "error": 20001,
      "message": "could not find character"
    }
  }
}

hi @kamiljanek,
thanks for the issue and yes, that return code is not the ideal one for the two endpoints.
@phenpessoa created #309 which did cover a change, but since the change is a breaking change I postpone this for a release of an upcoming version (maybe closer to summer or so).
Kind regards,
Tobias

hi @kamiljanek,
thanks for the issue and yes, that return code is not the ideal one for the two endpoints.
@phenpessoa created #309 which did cover a change, but since the change is a breaking change I postpone this for a release of an upcoming version (maybe closer to summer or so).
Kind regards, Tobias

good to know :) thanks


Some miscellaneous minor fixes

Use more specialized asserts (which give better error messages) in
log unit tests.
Rename restartAntreaAgentPod to restartAntreaAgentPods in e2e test
framework and simplify implementation.
Try not to conflate "Feature Gates" with "Features" in the
documentation.

/test-all

/test-windows-conformance


Levitation Check does not work properly

https://github.com/samolego/GolfIV/blob/fc40a58ea040dba7e4a37fb3ff1c27661b2e81a5/src/main/java/org/samo_lego/golfiv/mixin_checks/movement/ServerPlayNetworkHandlerMixin_FlightCheck.java#L62
I still receive false positives when "flying" around with levitation effect. I had effect level one, and it quickly set off fly hack detection and "kicked" me multiple times in 10 seconds of having levitation active.

Thanks for reporting! Did you have any other status effects?

Thanks for reporting! Did you have any other status effects?

No, I was testing with only levitation

No, I was testing with only levitation

I placed the brackets wrongly ...

I placed the brackets wrongly ...


adding promise support for server method handlers.

Allows service method handlers to return a promise.

Added a test for promise return value.
moved --require source-map-support/register to mocha.opts so that it's used all the time.
so running something like npx mocha test/server-test.js will also have ts mapping in stack traces.
updated Readme.md with promise example

Coverage decreased (-0.03%) to 93.674% when pulling 847d653f730abe200ddb6a02ada277b7d5510132 on andygreenegrass:master into e8306bee20ed266e0e5577784f64566ef2731de4 on vpulim:master.

There is currently an issue with async errors (for callbacks) which also affects this implementation. An error returned via the callback actually follows a different path than an error thrown synchronously.
Any error thrown synchronously ends up being converted to a full blown soap error on line 395 of server.ts. However due to the ambiguity of error and result in handleResult starting at line 457, if the error is not itself a soapFault (line 463), it will be handled as if it were the result (467).
I can fix this for the promise implementation, but it will still be an issue for callbacks (again due to the ambiguity presented by the backward compatibility).

made the requested change.
added the fix for async errors for Promises.
added a new test for promise based async error.


Blocked well dateformat

When creating a BlockedWell object from a wellspec file, the user must specify whether the usa_date_format is True (MM/DD/YYYY) or False (DD/MM/YYYY). Currently the usa_date_format variable defaults to False and there's no way to specify otherwise when creating a BlockedWell object. This PR adds the usa_date_format arg to the BlockedWell constructor as well as several supporting functions within resqpy/well/well_object_funcs.py.

Looks like yapf does not replace tabs with spaces, which is what needs to be done here. (My code editor is set to do that all the time so I haven't seen this error before.)

Codecov Report

Merging #558 (787d316) into master (7f5ff9f) will increase coverage by 0.00%.
The diff coverage is 100.00%.

:exclamation: Current head 787d316 differs from pull request most recent head 983234f. Consider uploading reports for the commit 983234f to get more accurate results

@@           Coverage Diff           @@
##           master     #558   +/-   ##
=======================================
  Coverage   79.02%   79.02%
=======================================
  Files         177      177
  Lines       29618    29618
=======================================
+ Hits        23406    23407    +1
+ Misses       6212     6211    -1

Impacted Files
Coverage Δ

resqpy/olio/wellspec_keywords.py
95.68% <100.00%> (ø)

resqpy/well/_blocked_well.py
86.81% <100.00%> (ø)

resqpy/well/well_object_funcs.py
83.12% <100.00%> (ø)

resqpy/model/_xml.py
91.41% <0.00%> (+0.27%)
:arrow_up:

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.


Year in BKhahei of experience is in use asrgt

She's the year and the use was be staying with you gj of this message was be staying at a hot

His name was be in touch and the use asrgt of experience is that the year of this.

157

$:(&_(&&$_7"(+&+)$6_68#6'&-#5