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Dave Lage
2026-04-05 01:16:13 +00:00
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library/lora_util.py Normal file
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from collections.abc import MutableSequence
import re
import math
import warnings
from typing import Optional, Union
def parse_blocks(input_str: Optional[Union[str, float]], length=19, default: Optional[float]=0.0) -> MutableSequence[Optional[float]]:
"""
Parse different formats of block specifications and return a list of values.
Args:
input_str (str): The input string after the '=' sign
length (int): The desired length of the output list (default: 19)
Returns:
list: A list of float values with the specified length
"""
input_str = f"{input_str}" if not isinstance(input_str, str) else input_str.strip()
result = [default] * length # Initialize with default
if input_str == "":
return [default] * length
# Case: Single value (e.g., "1.0" or "-1.0")
if re.match(r'^-?\d+(\.\d+)?$', input_str):
value = float(input_str)
return [value] * length
# Case: Explicit list (e.g., "[0,0,1,1,0.9,0.8,0.6]")
if input_str.startswith("[") and input_str.endswith("]"):
if input_str[1:-1].strip() == "":
return [default] * length
# Use regex to properly split on commas while handling negative numbers
values = [float(x) for x in re.findall(r'-?\d+(?:\.\d+)?', input_str)]
# If list is shorter than required length, repeat the pattern
if len(values) < length:
values = (values * (length // len(values) + 1))[:length]
# If list is longer than required length, truncate
return values[:length]
# Pre-process to handle function parameters with commas
# Replace function parameters with placeholders
function_params = {}
placeholder_counter = 0
def replace_function(match):
nonlocal placeholder_counter
func_with_params = match.group(0)
placeholder = f"FUNC_PLACEHOLDER_{placeholder_counter}"
function_params[placeholder] = func_with_params
placeholder_counter += 1
return placeholder
# Find function calls with parameters and replace them
preprocessed_str = re.sub(r'\w+\([^)]+\)', replace_function, input_str)
# Case: Default value with specific overrides (e.g., "1.0,0:0.5")
parts = preprocessed_str.split(',')
default_value = default
# Check if the first part is a default value (no colon)
if ':' not in parts[0] and re.match(r'^-?\d+(\.\d+)?$', parts[0]):
default_value = float(parts[0])
parts = parts[1:] # Remove the default value from parts
# Fill the result with the default value
result = [default_value] * length
# Process the remaining parts as ranges or single indices
for part in parts:
if ':' not in part:
continue # Skip parts without colon (should only be the default value)
indices_part, value_part = part.split(':')
# Restore any function placeholders
for placeholder, original in function_params.items():
if placeholder in value_part:
value_part = value_part.replace(placeholder, original)
# Handle range (e.g., "10-18" or "-5-10")
if '-' in indices_part and not indices_part.startswith('-'):
# This is a range with a dash (not just a negative number)
range_parts = indices_part.split('-', 1) # Split on first dash only
# Handle potential negative values in the range
if range_parts[0] == '':
# Handle case like "-5-10" (from -5 to 10)
start_idx = int('-' + range_parts[1].split('-')[0])
end_idx = int(range_parts[1].split('-')[1])
else:
# Normal case like "5-10" or "-5-(-3)"
start_idx = int(range_parts[0])
end_idx_str = range_parts[1]
# Handle potentially complex end index expressions
if end_idx_str.startswith('(') and end_idx_str.endswith(')'):
# Handle expressions like "(-3)"
end_idx = eval(end_idx_str)
else:
print("end_idx_str", end_idx_str)
# If end str is blank, set to start idx
if end_idx_str == "":
warnings.warn("Range end was missing, setting to start of range")
end_idx = start_idx
else:
end_idx = int(end_idx_str)
# Make sure indices are within bounds
start_idx = max(0, min(start_idx, length-1))
end_idx = max(0, min(end_idx, length-1))
range_length = end_idx - start_idx + 1
# Check if we have a function with parameters
# Checking function and 2 numbers (float and int) separated by ,
# cos(0.2, 0.8), cos(0, 1.0), cos(1, 0.1)
func_match = re.match(r'(\w+)\((\d+|\d+\.\d+),(\d+|\d+\.\d+)\)', value_part)
if func_match:
func_name = func_match.group(1)
start_val = float(func_match.group(2))
end_val = float(func_match.group(3))
if func_name == 'cos':
# Implement parameterized cosine
for i in range(range_length):
# Calculate position in the range from 0 to π (half a period)
position = i / (range_length - 1) * math.pi if range_length > 1 else 0
# Cosine from 1 at 0 to 0 at π, scaled to requested range
normalized_value = (1 + math.cos(position)) / 2
# Scale and shift to the requested start and end values
value = start_val + normalized_value * (end_val - start_val)
if start_idx + i < length:
result[start_idx + i] = value
elif func_name == 'sin':
# Implement parameterized sine
for i in range(range_length):
# Calculate position in the range from 0 to π/2 (quarter period)
position = i / (range_length - 1) * (math.pi/2) if range_length > 1 else 0
# Sine from 0 at 0 to 1 at π/2, scaled to requested range
normalized_value = math.sin(position)
# Scale and shift to the requested start and end values
value = start_val + normalized_value * (end_val - start_val)
if start_idx + i < length:
result[start_idx + i] = value
elif func_name == 'linear':
# Implement parameterized linear function
for i in range(range_length):
# Linear interpolation from start_val to end_val
t = i / (range_length - 1) if range_length > 1 else 0
value = start_val + t * (end_val - start_val)
if start_idx + i < length:
result[start_idx + i] = value
elif func_name == 'reverse_linear':
# Implement parameterized reverse linear function
for i in range(range_length):
# Linear interpolation from end_val to start_val
t = i / (range_length - 1) if range_length > 1 else 0
value = end_val + t * (start_val - end_val)
if start_idx + i < length:
result[start_idx + i] = value
# Handle non-parameterized functions
elif value_part == 'cos':
# Default cosine from 1 to 0
for i in range(range_length):
position = i / (range_length - 1) * math.pi if range_length > 1 else 0
value = (1 + math.cos(position)) / 2
if start_idx + i < length:
result[start_idx + i] = value
elif value_part == 'sin':
# Default sine from 0 to 1
for i in range(range_length):
position = i / (range_length - 1) * (math.pi/2) if range_length > 1 else 0
value = math.sin(position)
if start_idx + i < length:
result[start_idx + i] = value
elif value_part == 'linear':
# Default linear from 0 to 1
for i in range(range_length):
value = i / (range_length - 1) if range_length > 1 else 0
if start_idx + i < length:
result[start_idx + i] = value
elif value_part == 'reverse_linear':
# Default reverse linear from 1 to 0
for i in range(range_length):
value = 1 - (i / (range_length - 1) if range_length > 1 else 0)
if start_idx + i < length:
result[start_idx + i] = value
else:
# Regular numeric value
try:
value = float(value_part)
for i in range(start_idx, end_idx + 1):
if 0 <= i < length:
result[i] = value
except ValueError:
warnings.warn(f"Could not parse value '{value_part}'")
# Handle single index (e.g., "1")
else:
try:
index = int(indices_part)
if 0 <= index < length:
# Check if we have a function with parameters (unlikely for single index)
if '(' in value_part and ')' in value_part:
warnings.warn("Functions with parameters not supported for single indices: {part}")
continue
# Assuming a single index won't have a function pattern, just a value
value = float(value_part)
result[index] = value
except ValueError:
raise RuntimeError(f"Could not parse index '{indices_part}'")
return result

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import pytest
import math
from library.lora_util import parse_blocks
def test_single_value():
# Test single numeric value
result = parse_blocks("1.0")
assert len(result) == 19
assert all(val == 1.0 for val in result), "set all values to 1.0 when default value is 1.0"
# Test zero
result = parse_blocks("0")
assert len(result) == 19
assert all(val == 0.0 for val in result), "set all values to 0.0 when default value is 0"
# Test negative value
result = parse_blocks("-0.5")
assert len(result) == 19
assert all(val == -0.5 for val in result), "set all values to -0.5 when default value is -0.5"
def test_explicit_list():
# Test exact length list
result = parse_blocks("[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,0.9,0.8,0.7,0.6,0.5,0.4,0.3,0.2,0.1]")
assert len(result) == 19
assert result[0] == 0.1
assert result[9] == 1.0
assert result[18] == 0.1
# Test shorter list that repeats
result = parse_blocks("[0.0,0.5,1.0]")
assert len(result) == 19
assert result[0] == 0.0
assert result[1] == 0.5
assert result[2] == 1.0
assert result[3] == 0.0 # Pattern repeats
assert result[4] == 0.5
# Test longer list that gets truncated
result = parse_blocks("[" + ",".join(["0.5"] * 25) + "]")
assert len(result) == 19
assert all(val == 0.5 for val in result)
def test_default_with_overrides():
# Test default value with single index override
result = parse_blocks("1.0,0:0.5")
assert len(result) == 19
assert result[0] == 0.5
assert all(val == 1.0 for val in result[1:])
# Test default with multiple index overrides
result = parse_blocks("0.5,1:0.7,5:0.9,10:0.3")
assert len(result) == 19
assert result[0] == 0.5 # Default value
assert result[1] == 0.7 # Override
assert result[5] == 0.9 # Override
assert result[10] == 0.3 # Override
assert result[18] == 0.5 # Default value
# Test without default value (should use 0.0)
result = parse_blocks("3:0.8")
assert len(result) == 19
assert result[3] == 0.8
assert all(val == 0.0 for i, val in enumerate(result) if i != 3)
def test_range_overrides():
# Test simple range
result = parse_blocks("1-5:0.7")
assert len(result) == 19
assert all(result[i] == 0.7 for i in range(1, 6))
assert all(val == 0.0 for i, val in enumerate(result) if i < 1 or i > 5)
# Test multiple ranges
result = parse_blocks("0.1,1-3:0.5,7-9:0.8")
assert len(result) == 19
assert all(result[i] == 0.5 for i in range(1, 4))
assert all(result[i] == 0.8 for i in range(7, 10))
assert result[0] == 0.1 # Default
assert result[6] == 0.1 # Default
assert result[18] == 0.1 # Default
def test_cos_function():
# Test cos over range
result = parse_blocks("1-5:cos")
assert len(result) == 19
# Calculate expected values for cosine function
expected_cos = [(1 + math.cos(i / (5 - 1) * math.pi)) / 2 for i in range(5)]
for i in range(1, 6):
assert result[i] == pytest.approx(expected_cos[i - 1])
# Test parameterized cos
result = parse_blocks("3-7:cos(0.2,0.8)")
assert len(result) == 19
# Cos goes from 1 to 0 over π, scaled to range 0.2 to 0.8
for i in range(5):
normalized = (1 + math.cos(i / (5 - 1) * math.pi)) / 2
expected = 0.2 + normalized * (0.8 - 0.2)
assert result[i + 3] == pytest.approx(expected)
def test_sin_function():
# Test sin over range
result = parse_blocks("2-6:sin")
assert len(result) == 19
# Calculate expected values for sine function
expected_sin = [math.sin(i / (6 - 2) * (math.pi / 2)) for i in range(5)]
for i in range(2, 7):
assert result[i] == pytest.approx(expected_sin[i - 2])
# Test parameterized sin
result = parse_blocks("4-8:sin(0.3,0.9)")
assert len(result) == 19
# Sin goes from 0 to 1 over π/2, scaled to range 0.3 to 0.9
for i in range(5):
normalized = math.sin(i / (5 - 1) * (math.pi / 2))
expected = 0.3 + normalized * (0.9 - 0.3)
assert result[i + 4] == pytest.approx(expected)
def test_linear_function():
# Test linear over range
result = parse_blocks("3-7:linear")
assert len(result) == 19
# Calculate expected values for linear function (0 to 1)
expected_linear = [i / (7 - 3) for i in range(5)]
for i in range(3, 8):
assert result[i] == pytest.approx(expected_linear[i - 3])
# Test parameterized linear
result = parse_blocks("5-9:linear(0.4,0.7)")
assert len(result) == 19
# Linear goes from 0.4 to 0.7
for i in range(5):
t = i / 4 # normalized position
expected = 0.4 + t * (0.7 - 0.4)
assert result[i + 5] == pytest.approx(expected)
def test_reverse_linear_function():
# Test reverse_linear over range
result = parse_blocks("2-6:reverse_linear")
assert len(result) == 19
# Calculate expected values for reverse linear function (1 to 0)
expected_reverse = [1 - i / (6 - 2) for i in range(5)]
for i in range(2, 7):
assert result[i] == pytest.approx(expected_reverse[i - 2])
# Test parameterized reverse_linear
result = parse_blocks("10-15:reverse_linear(0.8,0.2)")
assert len(result) == 19
# Reverse linear goes from 0.2 to 0.8 (reversed)
for i in range(6):
t = i / 5 # normalized position
expected = 0.2 + t * (0.8 - 0.2)
assert result[i + 10] == pytest.approx(expected)
def test_custom_length():
# Test with custom length
result = parse_blocks("1.0", length=5)
assert len(result) == 5
assert all(val == 1.0 for val in result)
# Test list with custom length
result = parse_blocks("[0.1,0.2,0.3]", length=10)
assert len(result) == 10
assert result[0] == 0.1
assert result[3] == 0.1 # Pattern repeats
# Test ranges with custom length
result = parse_blocks("1-3:0.5", length=7)
assert len(result) == 7
assert all(result[i] == 0.5 for i in range(1, 4))
assert result[0] == 0.0
assert result[6] == 0.0
def test_custom_default():
# Test with custom default value
result = parse_blocks("1:0.5", default=0.2)
assert len(result) == 19
assert result[1] == 0.5
assert result[0] == 0.2
assert result[18] == 0.2
# Test overriding default value
result = parse_blocks("0.7,1:0.5", default=0.2)
assert len(result) == 19
assert result[1] == 0.5
assert result[0] == 0.7 # Explicitly set default
assert result[18] == 0.7
def test_out_of_bounds_indices():
# Test negative indices (should be ignored)
result = parse_blocks("-5:0.9")
assert len(result) == 19
assert all(val == 0.0 for val in result), "Negative index should be ignored"
# Test indices beyond length
result = parse_blocks("25:0.8")
assert len(result) == 19
assert all(val == 0.0 for val in result), "Indices above the max length should be ignored"
# Test range partially out of bounds
result = parse_blocks("17-22:0.7")
assert len(result) == 19
assert result[17] == 0.7
assert result[18] == 0.7
# Indices 19-22 would be out of bounds
def test_mixed_patterns():
# Test combining different formats
result = parse_blocks("0.3,2:0.8,5-8:cos,10-15:linear(0.1,0.9)")
assert len(result) == 19
assert result[0] == 0.3 # Default
assert result[2] == 0.8 # Single index
# Check cos values
cos_range = range(5, 9)
expected_cos = [(1 + math.cos(i / (8 - 5) * math.pi)) / 2 for i in range(4)]
for i, idx in enumerate(cos_range):
assert result[idx] == pytest.approx(expected_cos[i])
# Check linear values
linear_range = range(10, 16)
for i, idx in enumerate(linear_range):
t = i / 5 # normalized position
expected = 0.1 + t * (0.9 - 0.1)
assert result[idx] == pytest.approx(expected)
def test_edge_cases():
# Test empty string
result = parse_blocks("")
assert len(result) == 19
assert all(val == 0.0 for val in result)
# Test whitespace
result = parse_blocks(" ")
assert len(result) == 19
assert all(val == 0.0 for val in result)
# Test empty list
result = parse_blocks("[]")
assert len(result) == 19
assert all(val == 0.0 for val in result)
# Test single-item range
result = parse_blocks("5-5:0.7")
assert len(result) == 19
assert result[5] == 0.7
assert result[4] == 0.0
assert result[6] == 0.0
# Test function with single-item range
result = parse_blocks("7-7:cos")
assert len(result) == 19
assert result[7] == 1.0 # When range is single point, cos at position 0 is 1
# Test overlapping ranges
result = parse_blocks("1-5:0.3,3-7:0.8")
assert len(result) == 19
assert result[1] == 0.3
assert result[2] == 0.3
assert result[3] == 0.8 # Later definition overwrites
assert result[4] == 0.8 # Later definition overwrites
assert result[5] == 0.8 # Later definition overwrites
assert result[7] == 0.8
assert result[8] == 0.0
def test_malformed_input():
# Test malformed list
result = parse_blocks("[0.1,0.2,")
assert len(result) == 19
assert all(val == 0.0 for val in result), "malformed list"
# Test invalid end range
result = parse_blocks("5-:0.7")
assert len(result) == 19
assert result[5] == 0.7
assert result[6] == 0.0
# Test invalid start range, indices should never be negative
result = parse_blocks("-5:0.7")
assert len(result) == 19
assert all(val == 0.0 for val in result), "invalid start range, indices should never be negative"
# Test invalid function
result = parse_blocks("1-5:unknown_func")
assert len(result) == 19
assert all(val == 0.0 for val in result), "Function name not recognized"
# Test invalid function parameters
result = parse_blocks("1-5:cos(invalid,0.8)")
assert len(result) == 19
assert all(val == 0.0 for val in result), "Invalid parameters"