jaidaken
f09734b0ee
Some checks failed
Python Linting / Run Ruff (push) Has been cancelled
Python Linting / Run Pylint (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.10, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.11, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.12, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-unix-nightly (12.1, , linux, 3.11, [self-hosted Linux], nightly) (push) Has been cancelled
Execution Tests / test (macos-latest) (push) Has been cancelled
Execution Tests / test (ubuntu-latest) (push) Has been cancelled
Execution Tests / test (windows-latest) (push) Has been cancelled
Test server launches without errors / test (push) Has been cancelled
Unit Tests / test (macos-latest) (push) Has been cancelled
Unit Tests / test (ubuntu-latest) (push) Has been cancelled
Unit Tests / test (windows-2022) (push) Has been cancelled
Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1053 lines
68 KiB
Python
1053 lines
68 KiB
Python
import comfy
|
|
import comfy.model_management
|
|
import comfy.samplers
|
|
import torch
|
|
import numpy as np
|
|
import latent_preview
|
|
from nodes import MAX_RESOLUTION
|
|
from PIL import Image
|
|
from typing import Dict, List, Optional, Tuple, Union, Any
|
|
from ..modules.brushnet.model_patch import add_model_patch
|
|
|
|
class easySampler:
|
|
def __init__(self):
|
|
self.last_helds: dict[str, list] = {
|
|
"results": [],
|
|
"pipe_line": [],
|
|
}
|
|
self.device = comfy.model_management.intermediate_device()
|
|
|
|
@staticmethod
|
|
def tensor2pil(image: torch.Tensor) -> Image.Image:
|
|
"""Convert a torch tensor to a PIL image."""
|
|
return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
|
|
|
|
@staticmethod
|
|
def pil2tensor(image: Image.Image) -> torch.Tensor:
|
|
"""Convert a PIL image to a torch tensor."""
|
|
return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
|
|
|
|
@staticmethod
|
|
def enforce_mul_of_64(d):
|
|
d = int(d)
|
|
if d <= 7:
|
|
d = 8
|
|
leftover = d % 8 # 8 is the number of pixels per byte
|
|
if leftover != 0: # if the number of pixels is not a multiple of 8
|
|
if (leftover < 4): # if the number of pixels is less than 4
|
|
d -= leftover # remove the leftover pixels
|
|
else: # if the number of pixels is more than 4
|
|
d += 8 - leftover # add the leftover pixels
|
|
|
|
return int(d)
|
|
|
|
@staticmethod
|
|
def safe_split(to_split: str, delimiter: str) -> List[str]:
|
|
"""Split the input string and return a list of non-empty parts."""
|
|
parts = to_split.split(delimiter)
|
|
parts = [part for part in parts if part not in ('', ' ', ' ')]
|
|
|
|
while len(parts) < 2:
|
|
parts.append('None')
|
|
return parts
|
|
|
|
def emptyLatent(self, resolution, empty_latent_width, empty_latent_height, batch_size=1, compression=0, model_type='sd', video_length=25):
|
|
if resolution not in ["自定义 x 自定义", 'width x height (custom)']:
|
|
try:
|
|
width, height = map(int, resolution.split(' x '))
|
|
empty_latent_width = width
|
|
empty_latent_height = height
|
|
except ValueError:
|
|
raise ValueError("Invalid base_resolution format.")
|
|
if model_type == 'sd3':
|
|
latent = torch.ones([batch_size, 16, empty_latent_height // 8, empty_latent_width // 8], device=self.device) * 0.0609
|
|
samples = {"samples": latent}
|
|
elif model_type == 'mochi':
|
|
latent = torch.zeros([batch_size, 12, ((video_length - 1) // 6) + 1, empty_latent_height // 8, empty_latent_width // 8], device=self.device)
|
|
samples = {"samples": latent}
|
|
elif compression == 0:
|
|
latent = torch.zeros([batch_size, 4, empty_latent_height // 8, empty_latent_width // 8], device=self.device)
|
|
samples = {"samples": latent}
|
|
else:
|
|
latent_c = torch.zeros(
|
|
[batch_size, 16, empty_latent_height // compression, empty_latent_width // compression])
|
|
latent_b = torch.zeros([batch_size, 4, empty_latent_height // 4, empty_latent_width // 4])
|
|
|
|
samples = ({"samples": latent_c}, {"samples": latent_b})
|
|
return samples
|
|
|
|
def prepare_noise(self, latent_image, seed, noise_inds=None, noise_device="cpu", incremental_seed_mode="comfy",
|
|
variation_seed=None, variation_strength=None):
|
|
"""
|
|
creates random noise given a latent image and a seed.
|
|
optional arg skip can be used to skip and discard x number of noise generations for a given seed
|
|
"""
|
|
|
|
latent_size = latent_image.size()
|
|
latent_size_1batch = [1, latent_size[1], latent_size[2], latent_size[3]]
|
|
|
|
if variation_strength is not None and variation_strength > 0 or incremental_seed_mode.startswith(
|
|
"variation str inc"):
|
|
if noise_device == "cpu":
|
|
variation_generator = torch.manual_seed(variation_seed)
|
|
else:
|
|
torch.cuda.manual_seed(variation_seed)
|
|
variation_generator = None
|
|
|
|
variation_latent = torch.randn(latent_size_1batch, dtype=latent_image.dtype, layout=latent_image.layout,
|
|
generator=variation_generator, device=noise_device)
|
|
else:
|
|
variation_latent = None
|
|
|
|
def apply_variation(input_latent, strength_up=None):
|
|
if variation_latent is None:
|
|
return input_latent
|
|
else:
|
|
strength = variation_strength
|
|
|
|
if strength_up is not None:
|
|
strength += strength_up
|
|
|
|
variation_noise = variation_latent.expand(input_latent.size()[0], -1, -1, -1)
|
|
result = (1 - strength) * input_latent + strength * variation_noise
|
|
return result
|
|
|
|
# method: incremental seed batch noise
|
|
if noise_inds is None and incremental_seed_mode == "incremental":
|
|
batch_cnt = latent_size[0]
|
|
|
|
latents = None
|
|
for i in range(batch_cnt):
|
|
if noise_device == "cpu":
|
|
generator = torch.manual_seed(seed + i)
|
|
else:
|
|
torch.cuda.manual_seed(seed + i)
|
|
generator = None
|
|
|
|
latent = torch.randn(latent_size_1batch, dtype=latent_image.dtype, layout=latent_image.layout,
|
|
generator=generator, device=noise_device)
|
|
|
|
latent = apply_variation(latent)
|
|
|
|
if latents is None:
|
|
latents = latent
|
|
else:
|
|
latents = torch.cat((latents, latent), dim=0)
|
|
|
|
return latents
|
|
|
|
# method: incremental variation batch noise
|
|
elif noise_inds is None and incremental_seed_mode.startswith("variation str inc"):
|
|
batch_cnt = latent_size[0]
|
|
|
|
latents = None
|
|
for i in range(batch_cnt):
|
|
if noise_device == "cpu":
|
|
generator = torch.manual_seed(seed)
|
|
else:
|
|
torch.cuda.manual_seed(seed)
|
|
generator = None
|
|
|
|
latent = torch.randn(latent_size_1batch, dtype=latent_image.dtype, layout=latent_image.layout,
|
|
generator=generator, device=noise_device)
|
|
|
|
step = float(incremental_seed_mode[18:])
|
|
latent = apply_variation(latent, step * i)
|
|
|
|
if latents is None:
|
|
latents = latent
|
|
else:
|
|
latents = torch.cat((latents, latent), dim=0)
|
|
|
|
return latents
|
|
|
|
# method: comfy batch noise
|
|
if noise_device == "cpu":
|
|
generator = torch.manual_seed(seed)
|
|
else:
|
|
torch.cuda.manual_seed(seed)
|
|
generator = None
|
|
|
|
if noise_inds is None:
|
|
latents = torch.randn(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout,
|
|
generator=generator, device=noise_device)
|
|
latents = apply_variation(latents)
|
|
return latents
|
|
|
|
unique_inds, inverse = np.unique(noise_inds, return_inverse=True)
|
|
noises = []
|
|
for i in range(unique_inds[-1] + 1):
|
|
noise = torch.randn([1] + list(latent_image.size())[1:], dtype=latent_image.dtype,
|
|
layout=latent_image.layout,
|
|
generator=generator, device=noise_device)
|
|
if i in unique_inds:
|
|
noises.append(noise)
|
|
noises = [noises[i] for i in inverse]
|
|
noises = torch.cat(noises, axis=0)
|
|
return noises
|
|
|
|
def common_ksampler(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0,
|
|
disable_noise=False, start_step=None, last_step=None, force_full_denoise=False,
|
|
preview_latent=True, disable_pbar=False, noise_device='CPU'):
|
|
device = comfy.model_management.get_torch_device()
|
|
noise_device = 'cpu' if noise_device == 'CPU' else device
|
|
latent_image = latent["samples"]
|
|
latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image)
|
|
|
|
noise_mask = None
|
|
if "noise_mask" in latent:
|
|
noise_mask = latent["noise_mask"]
|
|
|
|
preview_format = "JPEG"
|
|
if preview_format not in ["JPEG", "PNG"]:
|
|
preview_format = "JPEG"
|
|
|
|
previewer = False
|
|
|
|
if preview_latent:
|
|
previewer = latent_preview.get_previewer(device, model.model.latent_format)
|
|
|
|
pbar = comfy.utils.ProgressBar(steps)
|
|
|
|
def callback(step, x0, x, total_steps):
|
|
preview_bytes = None
|
|
if previewer:
|
|
preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0)
|
|
pbar.update_absolute(step + 1, total_steps, preview_bytes)
|
|
|
|
if disable_noise:
|
|
noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout,
|
|
device=noise_device)
|
|
else:
|
|
batch_inds = latent["batch_index"] if "batch_index" in latent else None
|
|
noise = self.prepare_noise(latent_image, seed, batch_inds, noise_device=noise_device)
|
|
|
|
#######################################################################################
|
|
# add model patch
|
|
# brushnet
|
|
add_model_patch(model)
|
|
#######################################################################################
|
|
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative,
|
|
latent_image,
|
|
denoise=denoise, disable_noise=disable_noise, start_step=start_step,
|
|
last_step=last_step,
|
|
force_full_denoise=force_full_denoise, noise_mask=noise_mask,
|
|
callback=callback,
|
|
disable_pbar=disable_pbar, seed=seed)
|
|
out = latent.copy()
|
|
out["samples"] = samples
|
|
return out
|
|
|
|
def custom_ksampler(self, model, seed, steps, cfg, _sampler, sigmas, positive, negative, latent,
|
|
disable_noise=False, preview_latent=True, disable_pbar=False, noise_device='CPU'):
|
|
|
|
device = comfy.model_management.get_torch_device()
|
|
noise_device = 'cpu' if noise_device == 'CPU' else device
|
|
|
|
latent_image = latent["samples"]
|
|
|
|
if disable_noise:
|
|
noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device=noise_device)
|
|
else:
|
|
batch_inds = latent["batch_index"] if "batch_index" in latent else None
|
|
noise = self.prepare_noise(latent_image, seed, batch_inds, noise_device=noise_device)
|
|
|
|
noise_mask = None
|
|
if "noise_mask" in latent:
|
|
noise_mask = latent["noise_mask"]
|
|
|
|
preview_format = "JPEG"
|
|
if preview_format not in ["JPEG", "PNG"]:
|
|
preview_format = "JPEG"
|
|
|
|
previewer = False
|
|
|
|
if preview_latent:
|
|
previewer = latent_preview.get_previewer(device, model.model.latent_format)
|
|
|
|
pbar = comfy.utils.ProgressBar(steps)
|
|
|
|
def callback(step, x0, x, total_steps):
|
|
preview_bytes = None
|
|
if previewer:
|
|
preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0)
|
|
pbar.update_absolute(step + 1, total_steps, preview_bytes)
|
|
|
|
samples = comfy.samplers.sample(model, noise, positive, negative, cfg, device, _sampler, sigmas, latent_image=latent_image, model_options=model.model_options,
|
|
denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
|
|
|
|
out = latent.copy()
|
|
out["samples"] = samples
|
|
return out
|
|
|
|
def custom_advanced_ksampler(self, guider, sampler, sigmas, latent_image, add_noise='enable', seed=0, preview_latent=False):
|
|
latent = latent_image
|
|
latent_image = latent["samples"]
|
|
latent = latent.copy()
|
|
latent_image = comfy.sample.fix_empty_latent_channels(guider.model_patcher, latent_image)
|
|
latent["samples"] = latent_image
|
|
|
|
device = comfy.model_management.get_torch_device()
|
|
noise_device = device if add_noise == 'enable (GPU=A1111)' else 'cpu'
|
|
|
|
if add_noise == 'disable':
|
|
noise = torch.zeros(latent_image.shape, dtype=latent_image.dtype, layout=latent_image.layout, device="cpu")
|
|
else:
|
|
batch_inds = latent["batch_index"] if "batch_index" in latent else None
|
|
noise = self.prepare_noise(latent_image, seed, batch_inds, noise_device=noise_device)
|
|
|
|
noise_mask = None
|
|
if "noise_mask" in latent:
|
|
noise_mask = latent["noise_mask"]
|
|
|
|
x0_output = {}
|
|
previewer = False
|
|
|
|
model = guider.model_patcher
|
|
steps = sigmas.shape[-1] - 1
|
|
if preview_latent:
|
|
previewer = latent_preview.get_previewer(model.load_device, model.model.latent_format)
|
|
|
|
pbar = comfy.utils.ProgressBar(steps)
|
|
|
|
preview_format = "JPEG"
|
|
if preview_format not in ["JPEG", "PNG"]:
|
|
preview_format = "JPEG"
|
|
def callback(step, x0, x, total_steps):
|
|
if x0_output is not None:
|
|
x0_output["x0"] = x0
|
|
|
|
preview_bytes = None
|
|
if previewer:
|
|
preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0)
|
|
pbar.update_absolute(step + 1, total_steps, preview_bytes)
|
|
|
|
disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
|
|
samples = guider.sample(noise, latent_image, sampler, sigmas, denoise_mask=noise_mask,
|
|
callback=callback, disable_pbar=disable_pbar, seed=seed)
|
|
samples = samples.to(comfy.model_management.intermediate_device())
|
|
|
|
out = latent.copy()
|
|
out["samples"] = samples
|
|
if "x0" in x0_output:
|
|
out_denoised = latent.copy()
|
|
out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
|
|
else:
|
|
out_denoised = out
|
|
return (out, out_denoised)
|
|
|
|
def get_value_by_id(self, key: str, my_unique_id: Any) -> Optional[Any]:
|
|
"""Retrieve value by its associated ID."""
|
|
try:
|
|
for value, id_ in self.last_helds[key]:
|
|
if id_ == my_unique_id:
|
|
return value
|
|
except KeyError:
|
|
return None
|
|
|
|
def update_value_by_id(self, key: str, my_unique_id: Any, new_value: Any) -> Union[bool, None]:
|
|
"""Update the value associated with a given ID. Return True if updated, False if appended, None if key doesn't exist."""
|
|
try:
|
|
for i, (value, id_) in enumerate(self.last_helds[key]):
|
|
if id_ == my_unique_id:
|
|
self.last_helds[key][i] = (new_value, id_)
|
|
return True
|
|
self.last_helds[key].append((new_value, my_unique_id))
|
|
return False
|
|
except KeyError:
|
|
return False
|
|
|
|
def upscale(self, samples, upscale_method, scale_by, crop):
|
|
s = samples.copy()
|
|
width = self.enforce_mul_of_64(round(samples["samples"].shape[3] * scale_by))
|
|
height = self.enforce_mul_of_64(round(samples["samples"].shape[2] * scale_by))
|
|
|
|
if (width > MAX_RESOLUTION):
|
|
width = MAX_RESOLUTION
|
|
if (height > MAX_RESOLUTION):
|
|
height = MAX_RESOLUTION
|
|
|
|
s["samples"] = comfy.utils.common_upscale(samples["samples"], width, height, upscale_method, crop)
|
|
return (s,)
|
|
|
|
def handle_upscale(self, samples: dict, upscale_method: str, factor: float, crop: bool) -> dict:
|
|
"""Upscale the samples if the upscale_method is not set to 'None'."""
|
|
if upscale_method != "None":
|
|
samples = self.upscale(samples, upscale_method, factor, crop)[0]
|
|
return samples
|
|
|
|
def init_state(self, my_unique_id: Any, key: str, default: Any) -> Any:
|
|
"""Initialize the state by either fetching the stored value or setting a default."""
|
|
value = self.get_value_by_id(key, my_unique_id)
|
|
if value is not None:
|
|
return value
|
|
return default
|
|
|
|
def get_output(self, pipe: dict,) -> Tuple:
|
|
"""Return a tuple of various elements fetched from the input pipe dictionary."""
|
|
return (
|
|
pipe,
|
|
pipe.get("images"),
|
|
pipe.get("model"),
|
|
pipe.get("positive"),
|
|
pipe.get("negative"),
|
|
pipe.get("samples"),
|
|
pipe.get("vae"),
|
|
pipe.get("clip"),
|
|
pipe.get("seed"),
|
|
)
|
|
|
|
def get_output_sdxl(self, sdxl_pipe: dict) -> Tuple:
|
|
"""Return a tuple of various elements fetched from the input sdxl_pipe dictionary."""
|
|
return (
|
|
sdxl_pipe,
|
|
sdxl_pipe.get("model"),
|
|
sdxl_pipe.get("positive"),
|
|
sdxl_pipe.get("negative"),
|
|
sdxl_pipe.get("vae"),
|
|
sdxl_pipe.get("refiner_model"),
|
|
sdxl_pipe.get("refiner_positive"),
|
|
sdxl_pipe.get("refiner_negative"),
|
|
sdxl_pipe.get("refiner_vae"),
|
|
sdxl_pipe.get("samples"),
|
|
sdxl_pipe.get("clip"),
|
|
sdxl_pipe.get("images"),
|
|
sdxl_pipe.get("seed")
|
|
)
|
|
|
|
def loglinear_interp(t_steps, num_steps):
|
|
"""
|
|
Performs log-linear interpolation of a given array of decreasing numbers.
|
|
"""
|
|
xs = np.linspace(0, 1, len(t_steps))
|
|
ys = np.log(t_steps[::-1])
|
|
|
|
new_xs = np.linspace(0, 1, num_steps)
|
|
new_ys = np.interp(new_xs, xs, ys)
|
|
|
|
interped_ys = np.exp(new_ys)[::-1].copy()
|
|
return interped_ys
|
|
|
|
class alignYourStepsScheduler:
|
|
|
|
NOISE_LEVELS = {
|
|
"SD1": [14.6146412293, 6.4745760956, 3.8636745985, 2.6946151520, 1.8841921177, 1.3943805092, 0.9642583904,
|
|
0.6523686016, 0.3977456272, 0.1515232662, 0.0291671582],
|
|
"SDXL": [14.6146412293, 6.3184485287, 3.7681790315, 2.1811480769, 1.3405244945, 0.8620721141, 0.5550693289,
|
|
0.3798540708, 0.2332364134, 0.1114188177, 0.0291671582],
|
|
"SVD": [700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002]}
|
|
|
|
def get_sigmas(self, model_type, steps, denoise):
|
|
|
|
total_steps = steps
|
|
if denoise < 1.0:
|
|
if denoise <= 0.0:
|
|
return (torch.FloatTensor([]),)
|
|
total_steps = round(steps * denoise)
|
|
|
|
sigmas = self.NOISE_LEVELS[model_type][:]
|
|
if (steps + 1) != len(sigmas):
|
|
sigmas = loglinear_interp(sigmas, steps + 1)
|
|
|
|
sigmas = sigmas[-(total_steps + 1):]
|
|
sigmas[-1] = 0
|
|
return (torch.FloatTensor(sigmas),)
|
|
|
|
|
|
class gitsScheduler:
|
|
|
|
NOISE_LEVELS = {
|
|
0.80: [
|
|
[14.61464119, 7.49001646, 0.02916753],
|
|
[14.61464119, 11.54541874, 6.77309084, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 3.07277966, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 2.05039096, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 2.05039096, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 3.07277966,
|
|
1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077,
|
|
3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646,
|
|
5.85520077, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646,
|
|
6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278,
|
|
7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551,
|
|
8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551,
|
|
8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551,
|
|
8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966, 1.84880662,
|
|
0.83188516, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966,
|
|
1.84880662, 0.83188516, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.75677586,
|
|
2.84484982, 1.78698075, 0.803307, 0.02916753],
|
|
],
|
|
0.85: [
|
|
[14.61464119, 7.49001646, 0.02916753],
|
|
[14.61464119, 7.49001646, 1.84880662, 0.02916753],
|
|
[14.61464119, 11.54541874, 6.77309084, 1.56271636, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.11996698, 3.07277966, 1.24153244, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307,
|
|
0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 4.65472794, 3.07277966,
|
|
1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.65472794,
|
|
3.07277966, 1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476,
|
|
4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646,
|
|
6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278,
|
|
7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278,
|
|
7.49001646, 6.14220476, 4.86714602, 3.60512662, 2.6383388, 1.56271636, 0.72133851, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278,
|
|
7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152,
|
|
8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551,
|
|
8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636,
|
|
0.72133851, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267,
|
|
1.56271636, 0.72133851, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547,
|
|
9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455,
|
|
2.45070267, 1.56271636, 0.72133851, 0.02916753],
|
|
],
|
|
0.90: [
|
|
[14.61464119, 6.77309084, 0.02916753],
|
|
[14.61464119, 7.49001646, 1.56271636, 0.02916753],
|
|
[14.61464119, 7.49001646, 3.07277966, 0.95350921, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.09240818, 3.07277966, 1.61558151, 0.69515091, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.11996698, 4.86714602, 3.07277966, 1.61558151, 0.69515091,
|
|
0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 2.95596409, 1.61558151,
|
|
0.69515091, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244,
|
|
0.57119018, 0.02916753],
|
|
[14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799,
|
|
2.19988537, 1.24153244, 0.57119018, 0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 5.85520077, 4.45427561,
|
|
3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602,
|
|
3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476,
|
|
4.86714602, 3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.44769001,
|
|
5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646,
|
|
6.44769001, 5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646,
|
|
6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691,
|
|
0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278,
|
|
7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921,
|
|
0.45573691, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152,
|
|
8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636,
|
|
0.95350921, 0.45573691, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152,
|
|
8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.19988537,
|
|
1.51179266, 0.89115214, 0.43325692, 0.02916753],
|
|
],
|
|
0.95: [
|
|
[14.61464119, 6.77309084, 0.02916753],
|
|
[14.61464119, 6.77309084, 1.56271636, 0.02916753],
|
|
[14.61464119, 7.49001646, 2.84484982, 0.89115214, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.36326075, 0.803307, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.91321158, 1.08895338, 0.50118381,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158, 1.08895338,
|
|
0.50118381, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158,
|
|
1.08895338, 0.50118381, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.41535246,
|
|
0.803307, 0.38853383, 0.02916753],
|
|
[14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455, 2.6383388, 1.84880662,
|
|
1.24153244, 0.72133851, 0.34370604, 0.02916753],
|
|
[14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455,
|
|
2.6383388, 1.84880662, 1.24153244, 0.72133851, 0.34370604, 0.02916753],
|
|
[14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.86714602, 3.75677586,
|
|
2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753],
|
|
[14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.44769001, 5.58536053, 4.65472794,
|
|
3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053,
|
|
4.65472794, 3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823,
|
|
0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053,
|
|
4.65472794, 3.75677586, 3.07277966, 2.45070267, 1.78698075, 1.24153244, 0.83188516, 0.50118381, 0.22545385,
|
|
0.02916753],
|
|
[14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077,
|
|
5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516, 0.50118381,
|
|
0.22545385, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084,
|
|
5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516,
|
|
0.50118381, 0.22545385, 0.02916753],
|
|
[14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084,
|
|
5.85520077, 5.09240818, 4.45427561, 3.75677586, 3.07277966, 2.45070267, 1.91321158, 1.46270394, 1.05362725,
|
|
0.72133851, 0.43325692, 0.19894916, 0.02916753],
|
|
],
|
|
1.00: [
|
|
[14.61464119, 1.56271636, 0.02916753],
|
|
[14.61464119, 6.77309084, 0.95350921, 0.02916753],
|
|
[14.61464119, 6.77309084, 2.36326075, 0.803307, 0.02916753],
|
|
[14.61464119, 7.11996698, 3.07277966, 1.56271636, 0.59516323, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.41535246, 0.57119018, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.98035145, 1.24153244, 0.72133851,
|
|
0.34370604, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.98035145, 1.24153244,
|
|
0.72133851, 0.34370604, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.27973175, 1.51179266,
|
|
0.95350921, 0.54755926, 0.25053367, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075, 1.61558151,
|
|
1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075,
|
|
1.61558151, 1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982,
|
|
2.12350607, 1.56271636, 1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982,
|
|
2.19988537, 1.61558151, 1.162866, 0.803307, 0.50118381, 0.27464288, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.75677586, 3.07277966,
|
|
2.45070267, 1.84880662, 1.36964464, 1.01931262, 0.72133851, 0.45573691, 0.25053367, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 5.09240818, 4.26497746, 3.46139455,
|
|
2.84484982, 2.19988537, 1.67050016, 1.24153244, 0.92192322, 0.64427125, 0.43325692, 0.25053367, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 5.09240818, 4.26497746, 3.60512662,
|
|
2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323, 0.38853383, 0.22545385,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 12.2308979, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 5.09240818, 4.26497746,
|
|
3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323, 0.38853383,
|
|
0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 12.2308979, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818,
|
|
4.26497746, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323,
|
|
0.38853383, 0.22545385, 0.09824532, 0.02916753],
|
|
],
|
|
1.05: [
|
|
[14.61464119, 0.95350921, 0.02916753],
|
|
[14.61464119, 6.77309084, 0.89115214, 0.02916753],
|
|
[14.61464119, 6.77309084, 2.05039096, 0.72133851, 0.02916753],
|
|
[14.61464119, 6.77309084, 2.84484982, 1.28281462, 0.52423614, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.07277966, 1.61558151, 0.803307, 0.34370604, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.56271636, 0.803307, 0.34370604, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.95350921, 0.52423614, 0.22545385,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 1.98035145, 1.24153244, 0.74807048, 0.41087446,
|
|
0.17026083, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.27973175, 1.51179266, 0.95350921, 0.59516323, 0.34370604,
|
|
0.13792117, 0.02916753],
|
|
[14.61464119, 7.49001646, 5.09240818, 3.46139455, 2.45070267, 1.61558151, 1.08895338, 0.72133851,
|
|
0.45573691, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.09240818, 3.46139455, 2.45070267, 1.61558151, 1.08895338,
|
|
0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075, 1.61558151,
|
|
1.08895338, 0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.72759056,
|
|
1.24153244, 0.86115354, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.19988537,
|
|
1.61558151, 1.162866, 0.83188516, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.19988537,
|
|
1.67050016, 1.28281462, 0.95350921, 0.72133851, 0.52423614, 0.34370604, 0.19894916, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.36326075,
|
|
1.84880662, 1.41535246, 1.08895338, 0.83188516, 0.61951244, 0.45573691, 0.32104823, 0.19894916, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.45070267,
|
|
1.91321158, 1.51179266, 1.20157266, 0.95350921, 0.74807048, 0.57119018, 0.43325692, 0.29807833, 0.19894916,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.30717278, 7.11996698, 5.85520077, 4.65472794, 3.60512662, 2.95596409,
|
|
2.45070267, 1.91321158, 1.51179266, 1.20157266, 0.95350921, 0.74807048, 0.57119018, 0.43325692, 0.29807833,
|
|
0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 8.30717278, 7.11996698, 5.85520077, 4.65472794, 3.60512662, 2.95596409,
|
|
2.45070267, 1.98035145, 1.61558151, 1.32549286, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.41087446,
|
|
0.29807833, 0.19894916, 0.09824532, 0.02916753],
|
|
],
|
|
1.10: [
|
|
[14.61464119, 0.89115214, 0.02916753],
|
|
[14.61464119, 2.36326075, 0.72133851, 0.02916753],
|
|
[14.61464119, 5.85520077, 1.61558151, 0.57119018, 0.02916753],
|
|
[14.61464119, 6.77309084, 2.45070267, 1.08895338, 0.45573691, 0.02916753],
|
|
[14.61464119, 6.77309084, 2.95596409, 1.56271636, 0.803307, 0.34370604, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.07277966, 1.61558151, 0.89115214, 0.4783645, 0.19894916, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.07277966, 1.84880662, 1.08895338, 0.64427125, 0.34370604, 0.13792117,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.95350921, 0.54755926, 0.27464288,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.91321158, 1.24153244, 0.803307, 0.4783645, 0.25053367,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.05039096, 1.41535246, 0.95350921, 0.64427125,
|
|
0.41087446, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.27973175, 1.61558151, 1.12534678, 0.803307, 0.54755926,
|
|
0.36617002, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.32507086, 2.45070267, 1.72759056, 1.24153244, 0.89115214,
|
|
0.64427125, 0.45573691, 0.32104823, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 5.09240818, 3.60512662, 2.84484982, 2.05039096, 1.51179266, 1.08895338, 0.803307,
|
|
0.59516323, 0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 5.09240818, 3.60512662, 2.84484982, 2.12350607, 1.61558151, 1.24153244,
|
|
0.95350921, 0.72133851, 0.54755926, 0.41087446, 0.29807833, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.08895338,
|
|
0.83188516, 0.64427125, 0.50118381, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.91321158, 1.51179266, 1.20157266,
|
|
0.95350921, 0.74807048, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537, 1.72759056,
|
|
1.36964464, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.43325692, 0.34370604, 0.25053367, 0.17026083,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537,
|
|
1.72759056, 1.36964464, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.43325692, 0.34370604, 0.25053367,
|
|
0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537,
|
|
1.72759056, 1.36964464, 1.08895338, 0.89115214, 0.72133851, 0.59516323, 0.4783645, 0.38853383, 0.29807833,
|
|
0.22545385, 0.17026083, 0.09824532, 0.02916753],
|
|
],
|
|
1.15: [
|
|
[14.61464119, 0.83188516, 0.02916753],
|
|
[14.61464119, 1.84880662, 0.59516323, 0.02916753],
|
|
[14.61464119, 5.85520077, 1.56271636, 0.52423614, 0.02916753],
|
|
[14.61464119, 5.85520077, 1.91321158, 0.83188516, 0.34370604, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.24153244, 0.59516323, 0.25053367, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.51179266, 0.803307, 0.41087446, 0.17026083, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.56271636, 0.89115214, 0.50118381, 0.25053367, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 6.77309084, 3.07277966, 1.84880662, 1.12534678, 0.72133851, 0.43325692, 0.22545385,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.07277966, 1.91321158, 1.24153244, 0.803307, 0.52423614, 0.34370604, 0.19894916,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.91321158, 1.24153244, 0.803307, 0.52423614, 0.34370604,
|
|
0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.05039096, 1.36964464, 0.95350921, 0.69515091, 0.4783645,
|
|
0.32104823, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.803307, 0.59516323,
|
|
0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.803307, 0.59516323,
|
|
0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921,
|
|
0.74807048, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.78698075, 1.32549286, 1.01931262, 0.803307,
|
|
0.64427125, 0.50118381, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.78698075, 1.32549286, 1.01931262, 0.803307,
|
|
0.64427125, 0.52423614, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214,
|
|
0.72133851, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214,
|
|
0.72133851, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214,
|
|
0.72133851, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.20: [
|
|
[14.61464119, 0.803307, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.52423614, 0.02916753],
|
|
[14.61464119, 2.36326075, 0.92192322, 0.36617002, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.24153244, 0.59516323, 0.25053367, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.05039096, 0.95350921, 0.45573691, 0.17026083, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.24153244, 0.64427125, 0.29807833, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.803307, 0.45573691, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 0.95350921, 0.59516323, 0.36617002, 0.19894916,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.67050016, 1.08895338, 0.74807048, 0.50118381, 0.32104823,
|
|
0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.24153244, 0.83188516, 0.59516323, 0.41087446,
|
|
0.27464288, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 3.07277966, 1.98035145, 1.36964464, 0.95350921, 0.69515091, 0.50118381,
|
|
0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.46139455, 2.36326075, 1.56271636, 1.08895338, 0.803307, 0.59516323, 0.45573691,
|
|
0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 6.77309084, 3.46139455, 2.45070267, 1.61558151, 1.162866, 0.86115354, 0.64427125, 0.50118381,
|
|
0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516,
|
|
0.64427125, 0.50118381, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516,
|
|
0.64427125, 0.50118381, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516,
|
|
0.64427125, 0.50118381, 0.41087446, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.20157266, 0.92192322,
|
|
0.72133851, 0.57119018, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921,
|
|
0.74807048, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921,
|
|
0.74807048, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.25: [
|
|
[14.61464119, 0.72133851, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.50118381, 0.02916753],
|
|
[14.61464119, 2.05039096, 0.803307, 0.32104823, 0.02916753],
|
|
[14.61464119, 2.36326075, 0.95350921, 0.43325692, 0.17026083, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.24153244, 0.59516323, 0.27464288, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.51179266, 0.803307, 0.43325692, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.36326075, 1.24153244, 0.72133851, 0.41087446, 0.22545385, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.83188516, 0.52423614, 0.34370604, 0.19894916,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 0.98595673, 0.64427125, 0.43325692, 0.27464288,
|
|
0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.67050016, 1.08895338, 0.74807048, 0.52423614, 0.36617002,
|
|
0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.803307, 0.59516323, 0.45573691, 0.34370604,
|
|
0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.24153244, 0.86115354, 0.64427125, 0.4783645, 0.36617002,
|
|
0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.28281462, 0.92192322, 0.69515091, 0.52423614,
|
|
0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.72133851, 0.54755926,
|
|
0.43325692, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.72133851, 0.57119018,
|
|
0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.74807048, 0.59516323, 0.4783645,
|
|
0.38853383, 0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.41535246, 1.05362725, 0.803307, 0.61951244, 0.50118381,
|
|
0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.41535246, 1.05362725, 0.803307, 0.64427125, 0.52423614,
|
|
0.43325692, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.46270394, 1.08895338, 0.83188516, 0.66947293,
|
|
0.54755926, 0.45573691, 0.38853383, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.30: [
|
|
[14.61464119, 0.72133851, 0.02916753],
|
|
[14.61464119, 1.24153244, 0.43325692, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.59516323, 0.22545385, 0.02916753],
|
|
[14.61464119, 1.84880662, 0.803307, 0.36617002, 0.13792117, 0.02916753],
|
|
[14.61464119, 2.36326075, 1.01931262, 0.52423614, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.36964464, 0.74807048, 0.41087446, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.56271636, 0.89115214, 0.54755926, 0.34370604, 0.19894916, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 3.07277966, 1.61558151, 0.95350921, 0.61951244, 0.41087446, 0.27464288, 0.17026083,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.83188516, 0.54755926, 0.36617002, 0.25053367,
|
|
0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.41535246, 0.92192322, 0.64427125, 0.45573691, 0.34370604,
|
|
0.25053367, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.6383388, 1.56271636, 1.01931262, 0.72133851, 0.50118381, 0.36617002, 0.27464288,
|
|
0.19894916, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.05362725, 0.74807048, 0.54755926, 0.41087446,
|
|
0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.77538133, 0.57119018, 0.43325692,
|
|
0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.59516323, 0.45573691, 0.36617002,
|
|
0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.59516323, 0.4783645, 0.38853383,
|
|
0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.83188516, 0.64427125, 0.50118381, 0.41087446,
|
|
0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.83188516, 0.64427125, 0.52423614, 0.43325692,
|
|
0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.78698075, 1.24153244, 0.92192322, 0.72133851, 0.57119018,
|
|
0.45573691, 0.38853383, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.84484982, 1.78698075, 1.24153244, 0.92192322, 0.72133851, 0.57119018, 0.4783645,
|
|
0.41087446, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.35: [
|
|
[14.61464119, 0.69515091, 0.02916753],
|
|
[14.61464119, 0.95350921, 0.34370604, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.57119018, 0.19894916, 0.02916753],
|
|
[14.61464119, 1.61558151, 0.69515091, 0.29807833, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.84880662, 0.83188516, 0.43325692, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.162866, 0.64427125, 0.36617002, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.36964464, 0.803307, 0.50118381, 0.32104823, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.41535246, 0.83188516, 0.54755926, 0.36617002, 0.25053367, 0.17026083,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 0.95350921, 0.64427125, 0.45573691, 0.32104823, 0.22545385,
|
|
0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 0.95350921, 0.64427125, 0.45573691, 0.34370604, 0.25053367,
|
|
0.19894916, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.61558151, 1.01931262, 0.72133851, 0.52423614, 0.38853383, 0.29807833,
|
|
0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.61558151, 1.01931262, 0.72133851, 0.52423614, 0.41087446, 0.32104823,
|
|
0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.61558151, 1.05362725, 0.74807048, 0.54755926, 0.43325692, 0.34370604,
|
|
0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.72759056, 1.12534678, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.29807833,
|
|
0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 3.07277966, 1.72759056, 1.12534678, 0.803307, 0.59516323, 0.4783645, 0.38853383, 0.32104823,
|
|
0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.45070267, 1.51179266, 1.01931262, 0.74807048, 0.57119018, 0.45573691,
|
|
0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.41087446,
|
|
0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.43325692,
|
|
0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.45573691,
|
|
0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.40: [
|
|
[14.61464119, 0.59516323, 0.02916753],
|
|
[14.61464119, 0.95350921, 0.34370604, 0.02916753],
|
|
[14.61464119, 1.08895338, 0.43325692, 0.13792117, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.64427125, 0.27464288, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.61558151, 0.803307, 0.43325692, 0.22545385, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.05039096, 0.95350921, 0.54755926, 0.34370604, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.24153244, 0.72133851, 0.43325692, 0.27464288, 0.17026083, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.34370604, 0.25053367, 0.17026083,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.803307, 0.52423614, 0.36617002, 0.27464288, 0.19894916, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.803307, 0.54755926, 0.38853383, 0.29807833, 0.22545385, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.41535246, 0.86115354, 0.59516323, 0.43325692, 0.32104823, 0.25053367,
|
|
0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.64427125, 0.45573691, 0.34370604, 0.27464288,
|
|
0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.64427125, 0.4783645, 0.36617002, 0.29807833, 0.25053367,
|
|
0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 0.98595673, 0.69515091, 0.52423614, 0.41087446, 0.34370604,
|
|
0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.72133851, 0.54755926, 0.43325692, 0.36617002,
|
|
0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.84484982, 1.61558151, 1.05362725, 0.74807048, 0.57119018, 0.45573691, 0.38853383,
|
|
0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.41087446, 0.36617002,
|
|
0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.43325692, 0.38853383,
|
|
0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.45573691, 0.41087446,
|
|
0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.45: [
|
|
[14.61464119, 0.59516323, 0.02916753],
|
|
[14.61464119, 0.803307, 0.25053367, 0.02916753],
|
|
[14.61464119, 0.95350921, 0.34370604, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.24153244, 0.54755926, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.72133851, 0.36617002, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.61558151, 0.803307, 0.45573691, 0.27464288, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.91321158, 0.95350921, 0.57119018, 0.36617002, 0.25053367, 0.17026083, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.19988537, 1.08895338, 0.64427125, 0.41087446, 0.27464288, 0.19894916, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.34370604, 0.25053367, 0.19894916,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.36617002, 0.27464288, 0.22545385,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.803307, 0.54755926, 0.41087446, 0.32104823, 0.25053367, 0.19894916,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.27464288, 0.22545385,
|
|
0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.83188516, 0.59516323, 0.45573691, 0.36617002, 0.29807833,
|
|
0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.28281462, 0.83188516, 0.59516323, 0.45573691, 0.36617002, 0.32104823,
|
|
0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.69515091, 0.52423614, 0.41087446, 0.34370604,
|
|
0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.69515091, 0.52423614, 0.43325692, 0.36617002,
|
|
0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 0.98595673, 0.72133851, 0.54755926, 0.45573691, 0.38853383,
|
|
0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.74807048, 0.57119018, 0.4783645, 0.41087446, 0.36617002,
|
|
0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.74807048, 0.59516323, 0.50118381, 0.43325692,
|
|
0.38853383, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
1.50: [
|
|
[14.61464119, 0.54755926, 0.02916753],
|
|
[14.61464119, 0.803307, 0.25053367, 0.02916753],
|
|
[14.61464119, 0.86115354, 0.32104823, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.24153244, 0.54755926, 0.25053367, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.56271636, 0.72133851, 0.36617002, 0.19894916, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.61558151, 0.803307, 0.45573691, 0.27464288, 0.17026083, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.61558151, 0.83188516, 0.52423614, 0.34370604, 0.25053367, 0.17026083, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 1.84880662, 0.95350921, 0.59516323, 0.38853383, 0.27464288, 0.19894916, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 1.84880662, 0.95350921, 0.59516323, 0.41087446, 0.29807833, 0.22545385, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 1.84880662, 0.95350921, 0.61951244, 0.43325692, 0.32104823, 0.25053367, 0.19894916,
|
|
0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.19988537, 1.12534678, 0.72133851, 0.50118381, 0.36617002, 0.27464288, 0.22545385,
|
|
0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.19988537, 1.12534678, 0.72133851, 0.50118381, 0.36617002, 0.29807833, 0.25053367,
|
|
0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.36326075, 1.24153244, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.29807833, 0.25053367,
|
|
0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.36326075, 1.24153244, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.29807833, 0.27464288,
|
|
0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.32104823, 0.29807833,
|
|
0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.38853383, 0.34370604, 0.32104823,
|
|
0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532,
|
|
0.02916753],
|
|
[14.61464119, 2.45070267, 1.32549286, 0.86115354, 0.64427125, 0.50118381, 0.41087446, 0.36617002,
|
|
0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117,
|
|
0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.36964464, 0.92192322, 0.69515091, 0.54755926, 0.45573691, 0.41087446,
|
|
0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
[14.61464119, 2.45070267, 1.41535246, 0.95350921, 0.72133851, 0.57119018, 0.4783645, 0.43325692, 0.38853383,
|
|
0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083,
|
|
0.13792117, 0.09824532, 0.02916753],
|
|
],
|
|
}
|
|
|
|
def get_sigmas(self, coeff, steps, denoise):
|
|
total_steps = steps
|
|
if denoise < 1.0:
|
|
if denoise <= 0.0:
|
|
return (torch.FloatTensor([]),)
|
|
total_steps = round(steps * denoise)
|
|
|
|
if steps <= 20:
|
|
sigmas = self.NOISE_LEVELS[round(coeff, 2)][steps-2][:]
|
|
else:
|
|
sigmas = self.NOISE_LEVELS[round(coeff, 2)][-1][:]
|
|
sigmas = loglinear_interp(sigmas, steps + 1)
|
|
|
|
sigmas = sigmas[-(total_steps + 1):]
|
|
sigmas[-1] = 0
|
|
return (torch.FloatTensor(sigmas), ) |