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from _decimal import Context, getcontext
from decimal import Decimal
from typing import Iterator, List, Tuple, Dict, Any, Union, Optional
import numpy as np
from custom_nodes.Comfy_KepListStuff.utils import (
error_if_mismatched_list_args,
zip_with_fill,
)
custom_context = Context(prec=8)
class IntRangeNode:
def __init__(self) -> None:
pass
@classmethod
def INPUT_TYPES(s) -> Dict[str, Dict[str, Any]]:
return {
"required": {
"start": ("INT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"stop": ("INT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"step": ("INT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"end_mode": (["Inclusive", "Exclusive"], {"default": "Inclusive"}),
},
}
RETURN_TYPES = ("INT", "INT")
RETURN_NAMES = ("range", "range_sizes")
INPUT_IS_LIST = True
OUTPUT_IS_LIST = (True, True)
FUNCTION = "build_range"
CATEGORY = "List Stuff"
def build_range(
self, start: List[int], stop: List[int], step: List[int], end_mode: List[str]
) -> Tuple[List[int], List[int]]:
error_if_mismatched_list_args(locals())
ranges = []
range_sizes = []
for e_start, e_stop, e_step, e_end_mode in zip_with_fill(
start, stop, step, end_mode
):
if e_end_mode == "Inclusive":
e_stop += 1
vals = list(range(e_start, e_stop, e_step))
ranges.extend(vals)
range_sizes.append(len(vals))
return ranges, range_sizes
class IntNumStepsRangeNode:
def __init__(self) -> None:
pass
@classmethod
def INPUT_TYPES(s) -> Dict[str, Dict[str, Any]]:
return {
"required": {
"start": ("INT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"stop": ("INT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"num_steps": (
"INT",
{"default": 0, "min": -4096, "max": 4096, "step": 1},
),
"end_mode": (["Inclusive", "Exclusive"], {"default": "Inclusive"}),
"allow_uneven_steps": (["True", "False"], {"default": "False"}),
}
}
RETURN_TYPES = ("INT", "INT")
RETURN_NAMES = ("range", "range_sizes")
INPUT_IS_LIST = True
OUTPUT_IS_LIST = (True, True)
FUNCTION = "build_range"
CATEGORY = "List Stuff"
def build_range(
self,
start: List[int],
stop: List[int],
num_steps: List[int],
end_mode: List[str],
allow_uneven_steps: List[str],
) -> Tuple[List[int], List[int]]:
if len(allow_uneven_steps) > 1:
raise Exception("List input for allow_uneven_steps is not supported.")
error_if_mismatched_list_args(locals())
ranges = []
range_sizes = []
for e_start, e_stop, e_num_steps, e_end_mode in zip_with_fill(
start, stop, num_steps, end_mode
):
direction = 1 if e_stop > e_start else -1
if e_end_mode == "Exclusive":
e_stop -= direction
# Check for uneven steps
step_size = (e_stop - e_start) / (e_num_steps - 1)
if not allow_uneven_steps[0] == "True" and step_size != int(step_size):
raise ValueError(
f"Uneven steps detected for start={e_start}, stop={e_stop}, num_steps={e_num_steps}."
)
vals = (
np.rint(np.linspace(e_start, e_stop, e_num_steps)).astype(int).tolist()
)
ranges.extend(vals)
range_sizes.append(len(vals))
return ranges, range_sizes
class FloatRangeNode:
def __init__(self) -> None:
pass
@classmethod
def INPUT_TYPES(s) -> Dict[str, Dict[str, Any]]:
return {
"required": {
"start": (
"FLOAT",
{"default": 0, "min": -4096, "max": 4096, "step": 1},
),
"stop": ("FLOAT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"step": ("FLOAT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"end_mode": (["Inclusive", "Exclusive"], {"default": "Inclusive"}),
},
}
RETURN_TYPES = ("FLOAT", "INT")
RETURN_NAMES = ("range", "range_sizes")
INPUT_IS_LIST = True
OUTPUT_IS_LIST = (True, True)
FUNCTION = "build_range"
CATEGORY = "List Stuff"
@staticmethod
def _decimal_range(
start: Decimal, stop: Decimal, step: Decimal, inclusive: bool
) -> Iterator[float]:
ret_val = start
if inclusive:
stop = stop + step
direction = 1 if step > 0 else -1
# while ret_val < stop:
# yield float(ret_val)
# ret_val += step
while (ret_val - stop) * direction < 0:
yield float(ret_val)
ret_val += step
def build_range(
self,
start: List[Union[float, Decimal]],
stop: List[Union[float, Decimal]],
step: List[Union[float, Decimal]],
end_mode: List[str],
) -> Tuple[List[float], List[int]]:
error_if_mismatched_list_args(locals())
getcontext().prec = 12
start = [Decimal(s) for s in start]
stop = [Decimal(s) for s in stop]
step = [Decimal(s) for s in step]
ranges = []
range_sizes = []
for e_start, e_stop, e_step, e_end_mode in zip_with_fill(
start, stop, step, end_mode
):
vals = list(
self._decimal_range(e_start, e_stop, e_step, e_end_mode == "Inclusive")
)
ranges.extend(vals)
range_sizes.append(len(vals))
return ranges, range_sizes
class FloatNumStepsRangeNode:
def __init__(self) -> None:
pass
@classmethod
def INPUT_TYPES(s) -> Dict[str, Dict[str, Any]]:
return {
"required": {
"start": (
"FLOAT",
{"default": 0, "min": -4096, "max": 4096, "step": 1},
),
"stop": ("FLOAT", {"default": 0, "min": -4096, "max": 4096, "step": 1}),
"num_steps": ("INT", {"default": 1, "min": 1, "max": 4096, "step": 1}),
},
}
RETURN_TYPES = ("FLOAT", "INT")
RETURN_NAMES = ("range", "range_sizes")
INPUT_IS_LIST = True
OUTPUT_IS_LIST = (True, True)
FUNCTION = "build_range"
CATEGORY = "List Stuff"
@staticmethod
def _decimal_range(
start: Decimal, stop: Decimal, num_steps: int
) -> Iterator[float]:
step = (stop - start) / (num_steps - 1)
direction = 1 if step > 0 else -1
ret_val = start
for _ in range(num_steps):
if (
ret_val - stop
) * direction > 0: # Ensure we don't exceed the 'stop' value
break
yield float(ret_val)
ret_val += step
def build_range(
self,
start: List[Union[float, Decimal]],
stop: List[Union[float, Decimal]],
num_steps: List[int],
) -> Tuple[List[float], List[int]]:
error_if_mismatched_list_args(locals())
getcontext().prec = 12
start = [Decimal(s) for s in start]
stop = [Decimal(s) for s in stop]
ranges = []
range_sizes = []
for e_start, e_stop, e_num_steps in zip_with_fill(start, stop, num_steps):
vals = list(self._decimal_range(e_start, e_stop, e_num_steps))
ranges.extend(vals)
range_sizes.append(len(vals))
return ranges, range_sizes
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