PK W"SMa kll/__init__.py#!/usr/bin/env python3
'''
KLL Compiler
KLL - Keyboard Layout Language
'''
# Copyright (C) 2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see "
changed = []
date = ""
long_version = ""
# Just in case git can't be found
try:
# Initialize repo
repo = git.Repo(kll_path)
# Get hash of the latest git commit
revision = repo.head.object.hexsha
# Get list of files that have changed since the commit
changed = [item.a_path for item in repo.index.diff(None)] + [item.a_path for item in repo.index.diff('HEAD')]
# Get commit date
date = repo.head.commit.committed_datetime
long_version = ".{0} - {1}".format(revision, date)
except git.exc.InvalidGitRepositoryError:
pass
return revision, changed, date, long_version
### Argument Parsing ###
def checkFileExists(filename):
'''
Validate that file exists
@param filename: Path to file
'''
if not os.path.isfile(filename):
print("{0} {1} does not exist...".format(ERROR, filename))
sys.exit(1)
def command_line_args(control, input_args):
'''
Initialize argparse and process all command line arguments
@param control: ControlStage object which has access to all the group argument parsers
'''
# Setup argument processor
parser = argparse.ArgumentParser(
usage="{} [options..] [..]".format(kll_name),
description="KLL Compiler - Generates specified output from KLL .kll files.",
epilog="Example: {0} scan_map.kll".format(kll_name),
formatter_class=argparse.RawTextHelpFormatter,
add_help=False,
)
# Install path
install_path = os.path.abspath(os.path.dirname(os.path.realpath(__file__)))
# Get git information
control.git_rev, control.git_changes, control.git_date, long_version = git_revision(
os.path.join(install_path, '..')
)
control.version = "{0}{1}".format(__version__, long_version)
# Optional Arguments
parser.add_argument(
'-h', '--help',
action="help",
help="This message."
)
parser.add_argument(
'-v', '--version',
action="version",
version="{0} {1}".format(kll_name, control.version),
help="Show program's version number and exit"
)
parser.add_argument(
'--path',
action="store_true",
help="Shows the absolute path to the kll compiler installation directory. Then exits.",
)
parser.add_argument(
'--layout-cache-path',
action="store_true",
help="Shows the absolute path to the kll layouts cache director. Then exits.",
)
parser.add_argument(
'--layout-cache-refresh',
action="store_true",
help="Does a refresh on the kll layouts cache. Then exits. Don't do this too often or you'll get GitHub RateLimit Errors.",
)
# Add stage arguments
control.command_line_flags(parser)
# Process Arguments
args = parser.parse_args(input_args)
# If --path defined, lookup installation path, then exit
if args.path:
print(install_path)
sys.exit(0)
# If --layout-cache-path defined, lookup cache directory for layouts cache, then exit
if args.layout_cache_path:
import layouts
mgr = layouts.Layouts()
layout_path = mgr.layout_path
print(layout_path)
sys.exit(0)
# If --layout-cache-refresh defined, show the refreshed layout path
if args.layout_cache_refresh:
import layouts
mgr = layouts.Layouts(force_refresh=True)
layout_path = mgr.layout_path
print(layout_path)
sys.exit(0)
# Utilize parsed arguments in each of the stages
control.command_line_args(args)
### Main Entry Point ###
def main(args):
# Initialize Control Stages
control = stage.ControlStage()
# Process Command-Line Args
command_line_args(control, args)
# Process Control Stages
control.process()
# Successful completion
sys.exit(0)
if __name__ == '__main__':
main(sys.argv[1:])
PK RKMu kll/__main__.py#!/usr/bin/env python3
'''
KLL Compiler
Keyboard Layout Langauge
'''
# Copyright (C) 2014-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see ;
'''
return "{0}{1}{2};".format(
self.lparam_token.value,
self.operator_token.value,
self.rparam_token.value,
)
def point_chars(self, pos_list):
'''
Using the regenerated string, point to a given list of characters
Used to indicate where a possible issue/syntax error is
@param pos_list: List of character indices
i.e.
> U"A" : : U"1";
> ^
'''
out = "\t{0}\n\t".format(self.regen_str())
# Place a ^ character at the given locations
curpos = 1
for pos in sorted(pos_list):
# Pad spaces, then add a ^
out += ' ' * (pos - curpos)
out += '^'
curpos += pos
return out
def rparam_start(self):
'''
Starting positing char of rparam_token in a regen_str
'''
return len(self.lparam_token.value) + len(self.operator_token.value)
def __repr__(self):
# Build string representation based off of what has been set
# lparam, operator and rparam are always set
out = "Expression: {0}{1}{2}".format(
self.lparam_token.value,
self.operator_token.value,
self.rparam_token.value,
)
# TODO - Add more depending on what has been set
return out
def kllify(self):
'''
Returns KLL version of the expression
May not look like the original expression if simplication has taken place
'''
print(
"{0} kllify not defined for {1}".format(
WARNING,
self.__class__.__name__))
out = "{0}{1}{2};".format(
self.lparam_token.value,
self.operator_token.value,
self.rparam_token.value,
)
return out
def unique_keys(self):
'''
Generates a list of unique identifiers for the expression that is mergeable
with other functional equivalent expressions.
This method should never get called directly as a generic Expression
'''
return [('UNKNOWN KEY', 'UNKNOWN EXPRESSION')]
class AssignmentExpression(Expression):
'''
Container class for assignment KLL expressions
'''
type = None
name = None
pos = None
value = None
## Setters ##
def array(self, name, pos, value):
'''
Assign array assignment parameters to expression
@param name: Name of variable
@param pos: Array position of the value (if None, overwrite the entire array)
@param value: Value of the array, if pos is specified, this is the value of an element
@return: True if parsing was successful
'''
self.type = 'Array'
self.name = name
self.pos = pos
self.value = value
# If pos is not none, flatten
if pos is not None:
self.value = "".join(str(x) for x in self.value)
return True
def merge_array(self, new_expression=None):
'''
Merge arrays, used for position assignments
Merges unconditionally, make sure this is what you want to do first
If no additional array is specified, just "cap-off" array.
This does a proper array expansion into a python list.
@param new_expression: AssignmentExpression type array, ignore if None
'''
# First, check if base expression needs to be capped
if self.pos is not None:
# Generate a new string array
new_value = [""] * self.pos
# Append the old contents to the list
new_value.append(self.value)
self.value = new_value
# Clear pos, to indicate that array has been capped
self.pos = None
# Next, if a new_expression has been specified, merge in
if new_expression is not None and new_expression.pos is not None:
# Check if we need to extend the list
new_size = new_expression.pos + 1 - len(self.value)
if new_size > 0:
self.value.extend([""] * new_size)
# Assign value to array
self.value[new_expression.pos] = new_expression.value
def variable(self, name, value):
'''
Assign variable assignment parameters to expression
@param name: Name of variable
@param value: Value of variable
@return: True if parsing was successful
'''
self.type = 'Variable'
self.name = name
self.value = value
# Flatten value, often a list of various token types
self.value = "".join(str(x) for x in self.value)
return True
def __repr__(self):
if self.type == 'Variable':
return "{0} = {1};".format(self.name, self.value)
elif self.type == 'Array':
# Output KLL style array, double quoted elements, space-separated
if isinstance(self.value, list):
output = "{0}[] =".format(self.name)
for value in self.value:
output += ' "{0}"'.format(value)
output += ";"
return output
# Single array assignment
else:
return "{0}[{1}] = {2};".format(
self.name, self.pos, self.value)
return "ASSIGNMENT UNKNOWN"
def kllify(self):
'''
Returns KLL version of the expression
May not look like the original expression if simplication has taken place
__repr__ is formatted correctly with assignment expressions
'''
return self.__repr__()
def unique_keys(self):
'''
Generates a list of unique identifiers for the expression that is mergeable
with other functional equivalent expressions.
'''
return [(self.name, self)]
class NameAssociationExpression(Expression):
'''
Container class for name association KLL expressions
'''
type = None
name = None
association = None
## Setters ##
def capability(self, name, association, parameters):
'''
Assign a capability C function name association
@param name: Name of capability
@param association: Name of capability in target backend output
@return: True if parsing was successful
'''
self.type = 'Capability'
self.name = name
self.association = CapId(association, 'Definition', parameters)
return True
def define(self, name, association):
'''
Assign a define C define name association
@param name: Name of variable
@param association: Name of association in target backend output
@return: True if parsing was successful
'''
self.type = 'Define'
self.name = name
self.association = association
return True
def __repr__(self):
return "{0} <= {1};".format(self.name, self.association)
def kllify(self):
'''
Returns KLL version of the expression
May not look like the original expression if simplication has taken place
'''
return "{0}".format(self)
def unique_keys(self):
'''
Generates a list of unique identifiers for the expression that is mergeable
with other functional equivalent expressions.
'''
return [(self.name, self)]
class DataAssociationExpression(Expression):
'''
Container class for data association KLL expressions
'''
type = None
association = None
value = None
## Setters ##
def animation(self, animations, animation_modifiers):
'''
Animation definition and configuration
@return: True if parsing was successful
'''
self.type = 'Animation'
self.association = animations
self.value = animation_modifiers
return True
def animationFrame(self, animation_frames, pixel_modifiers):
'''
Pixel composition of an Animation Frame
@return: True if parsing was successful
'''
self.type = 'AnimationFrame'
self.association = animation_frames
self.value = pixel_modifiers
return True
def pixelPosition(self, pixels, position):
'''
Pixel Positioning
@return: True if parsing was successful
'''
for pixel in pixels:
pixel.setPosition(position)
self.type = 'PixelPosition'
self.association = pixels
return True
def scanCodePosition(self, scancodes, position):
'''
Scan Code to Position Mapping
Note: Accepts lists of scan codes
Alone this isn't useful, but you can assign rows and columns using ranges instead of individually
@return: True if parsing was successful
'''
for scancode in scancodes:
scancode.setPosition(position)
self.type = 'ScanCodePosition'
self.association = scancodes
return True
def update(self, new_expression):
'''
Update expression
@param new_expression: Expression used to update this one
'''
supported = ['PixelPosition', 'ScanCodePosition']
if new_expression.type in supported:
for scancode in self.association:
scancode.updatePositions(new_expression.association[0])
def __repr__(self):
if self.type in ['PixelPosition', 'ScanCodePosition']:
output = ""
for index, association in enumerate(self.association):
if index > 0:
output += "; "
output += "{0}".format(association)
return "{0};".format(output)
return "{0} <= {1};".format(self.association, self.value)
def kllify(self):
'''
Returns KLL version of the expression
May not look like the original expression if simplication has taken place
__repr__ is formatted correctly with assignment expressions
'''
if self.type in ['PixelPosition', 'ScanCodePosition']:
output = ""
for index, association in enumerate(self.association):
if index > 0:
output += "; "
output += "{0}".format(association.kllify())
return "{0};".format(output)
if self.type in ['AnimationFrame']:
output = "{0} <= ".format(self.association[0].kllify())
for index, association in enumerate(self.value):
if index > 0:
output += ", "
output += "{0}".format(association[0].kllify())
return "{0};".format(output)
return "{0} <= {1};".format(
self.association.kllify(), self.value.kllify())
def unique_keys(self):
'''
Generates a list of unique identifiers for the expression that is mergeable
with other functional equivalent expressions.
'''
keys = []
# Positions require a bit more introspection to get the unique keys
if self.type in ['PixelPosition', 'ScanCodePosition']:
for index, key in enumerate(self.association):
uniq_expr = self
# If there is more than one key, copy the expression
# and remove the non-related variants
if len(self.association) > 1:
uniq_expr = copy.copy(self)
# Isolate variant by index
uniq_expr.association = [uniq_expr.association[index]]
keys.append(("{0}".format(key.unique_key()), uniq_expr))
# AnimationFrames are already list of keys
# TODO Reorder frame assignments to dedup function equivalent mappings
elif self.type in ['AnimationFrame']:
for index, key in enumerate(self.association):
uniq_expr = self
# If there is more than one key, copy the expression
# and remove the non-related variants
if len(self.association) > 1:
uniq_expr = copy.copy(self)
# Isolate variant by index
uniq_expr.association = [uniq_expr.association[index]]
keys.append(("{0}".format(key), uniq_expr))
# Otherwise treat as a single element
else:
keys = [("{0}".format(self.association), self)]
# Remove any duplicate keys
# TODO Stat? Might be at neat report about how many duplicates were
# squashed
keys = list(set(keys))
return keys
class MapExpression(Expression):
'''
Container class for KLL map expressions
'''
type = None
triggers = None
operator = None
results = None
animation = None
animation_frame = None
pixels = None
position = None
trigger_identifiers = ['IndCode', 'GenericTrigger', 'Layer', 'LayerLock', 'LayerShift', 'LayerLatch', 'ScanCode']
def __init__(self, triggers, operator, results):
'''
Initialize MapExpression
Used when copying MapExpressions from different expressions
@param triggers: Sequence of combos of ranges of namedtuples
@param operator: Type of map operation
@param results: Sequence of combos of ranges of namedtuples
'''
self.type = 'TriggerCode'
self.triggers = triggers
self.operator = operator
self.results = results
self.connect_id = 0
## Setters ##
def triggerCode(self, triggers, operator, results):
'''
Trigger Code mapping
Takes in any combination of triggers and sets the expression accordingly.
@param triggers: Sequence of combos of ranges of namedtuples
@param operator: Type of map operation
@param results: Sequence of combos of ranges of namedtuples
@return: True if parsing was successful
'''
self.type = 'TriggerCode'
self.triggers = triggers
self.operator = operator
self.results = results
return True
def pixelChannels(self, pixelmap, trigger):
'''
Pixel Channel Composition
@return: True if parsing was successful
'''
self.type = 'PixelChannel'
self.pixel = pixelmap
self.position = trigger
return True
def triggersSequenceOfCombosOfIds(self, index=0):
'''
Takes triggers and converts into explicit ids
Only uses the first index by default.
@param index: Which trigger sequence to expand
@return: list of lists
Example (index=0)
[[[S10, S16], [S42]], [[S11, S16], [S42]]] -> [[10, 16], [42]]
'''
nsequence = []
for combo in self.triggers[index]:
ncombo = []
for identifier in combo:
ncombo.append(identifier.json())
nsequence.append(ncombo)
return nsequence
def resultsSequenceOfCombosOfIds(self, index=0):
'''
Takes results and converts into explicit capabilities
Only uses the first index by default.
@param index: Which result sequence to expand
@return: list of lists
'''
nsequence = []
for combo in self.results[index]:
ncombo = []
for identifier in combo:
ncombo.append(identifier.json())
nsequence.append(ncombo)
return nsequence
def sequencesOfCombosOfIds(self, expression_param):
'''
Prettified Sequence of Combos of Identifiers
@param expression_param: Trigger or Result parameter of an expression
Scan Code Example
[[[S10, S16], [S42]], [[S11, S16], [S42]]] -> (S10 + S16, S42)|(S11 + S16, S42)
'''
output = ""
# Sometimes during error cases, might be None
if expression_param is None:
return output
# Iterate over each trigger/result variants (expanded from ranges),
# each one is a sequence
for index, sequence in enumerate(expression_param):
if index > 0:
output += "|"
output += "("
# Iterate over each combo (element of the sequence)
for index, combo in enumerate(sequence):
if index > 0:
output += ", "
# Iterate over each trigger identifier
for index, identifier in enumerate(combo):
if index > 0:
output += " + "
output += "{0}".format(identifier)
output += ")"
return output
def sequencesOfCombosOfIds_kll(self, expression_param):
'''
Prettified Sequence of Combos of Identifiers, kll output edition
@param expression_param: Trigger or Result parameter of an expression
Scan Code Example
[[[S10, S16], [S42]], [[S11, S16], [S42]]] -> ['S10 + S16, S42', 'S11 + S16, S42']
'''
output = ['']
# Sometimes during error cases, might be None
if expression_param is None:
return output
# Iterate over each trigger/result variants (expanded from ranges),
# each one is a sequence
for index, sequence in enumerate(expression_param):
if index > 0:
output.append('')
# Iterate over each combo (element of the sequence)
for index, combo in enumerate(sequence):
if index > 0:
output[-1] += ", "
# Iterate over each trigger identifier
for index, identifier in enumerate(combo):
if index > 0:
output[-1] += " + "
output[-1] += "{0}".format(identifier.kllify())
return output
def trigger_id_list(self):
'''
Returns a list of ids within the sequence of combos
May contain duplicates
'''
id_list = []
# Iterate over each trigger/result variants (expanded from ranges)
for sequence in self.triggers:
# Iterate over each combo (element of the sequence)
for combo in sequence:
# Iterate over each trigger identifier
for identifier in combo:
id_list.append(identifier)
return id_list
def min_trigger_uid(self):
'''
Returns the min numerical uid
Used for trigger identifiers
'''
min_uid = 0xFFFF
# Iterate over list of identifiers in trigger
for identifier in self.trigger_id_list():
if identifier.type in self.trigger_identifiers and identifier.get_uid() < min_uid:
min_uid = identifier.get_uid()
return min_uid
def max_trigger_uid(self):
'''
Returns the max numerical uid
Used for trigger identifiers
'''
max_uid = 0
# Iterate over list of identifiers in trigger
for identifier in self.trigger_id_list():
if identifier.type in self.trigger_identifiers and identifier.get_uid() > max_uid:
max_uid = identifier.get_uid()
return max_uid
def add_trigger_uid_offset(self, offset):
'''
Adds a uid/scancode offset to all triggers
This is used when applying the connect_id interconnect offset during mapping indices generation
'''
# Iterate over list of identifiers in trigger
for identifier in self.trigger_id_list():
if identifier.type == 'ScanCode':
identifier.updated_uid = identifier.uid + offset
def elems(self):
'''
Return number of trigger and result elements
Useful for determining if this is a trigger macro (2+)
Should always return at least (1,1) unless it's an invalid calculation
@return: ( triggers, results )
'''
elems = [0, 0]
# XXX Needed?
if self.type == 'PixelChannel':
return tuple(elems)
# Iterate over each trigger variant (expanded from ranges), each one is
# a sequence
for sequence in self.triggers:
# Iterate over each combo (element of the sequence)
for combo in sequence:
# Just measure the size of the combo
elems[0] += len(combo)
# Iterate over each result variant (expanded from ranges), each one is
# a sequence
for sequence in self.results:
# Iterate over each combo (element of the sequence)
for combo in sequence:
# Just measure the size of the combo
elems[1] += len(combo)
return tuple(elems)
def trigger_str(self):
'''
String version of the trigger
Used for sorting
'''
# Pixel Channel Mapping doesn't follow the same pattern
if self.type == 'PixelChannel':
return "{0}".format(self.pixel)
return "{0}".format(
self.sequencesOfCombosOfIds(self.triggers),
)
def result_str(self):
'''
String version of the result
Used for sorting
'''
# Pixel Channel Mapping doesn't follow the same pattern
if self.type == 'PixelChannel':
return "{0}".format(self.position)
return "{0}".format(
self.sequencesOfCombosOfIds(self.results),
)
def __repr__(self):
# Pixel Channel Mapping doesn't follow the same pattern
if self.type == 'PixelChannel':
return "{0} : {1};".format(self.pixel, self.position)
return "{0} {1} {2};".format(
self.sequencesOfCombosOfIds(self.triggers),
self.operator,
self.sequencesOfCombosOfIds(self.results),
)
def sort_trigger(self):
'''
Returns sortable trigger
'''
if self.type == 'PixelChannel':
return "{0}".format(self.pixel.kllify())
return "{0}".format(
self.sequencesOfCombosOfIds_kll(self.triggers)[0],
)
def sort_result(self):
'''
Returns sortable result
'''
if self.type == 'PixelChannel':
result = self.position
# Handle None pixel mapping case
if isinstance(self.position, list):
result = self.sequencesOfCombosOfIds_kll(self.position)[0]
return "{0}".format(result)
return "{0}".format(
self.sequencesOfCombosOfIds_kll(self.results)[0],
)
def kllify(self):
'''
Returns KLL version of the expression
May not look like the original expression if simplication has taken place
'''
# TODO Handle variations? Instead of just the first index
if self.type == 'PixelChannel':
result = self.position
# Handle None pixel mapping case
if isinstance(self.position, list):
result = self.sequencesOfCombosOfIds_kll(self.position)[0]
return "{0} : {1};".format(self.pixel.kllify(), result)
return "{0} {1} {2};".format(
self.sequencesOfCombosOfIds_kll(self.triggers)[0],
self.operator,
self.sequencesOfCombosOfIds_kll(self.results)[0],
)
def unique_keys(self):
'''
Generates a list of unique identifiers for the expression that is mergeable
with other functional equivalent expressions.
TODO: This function should re-order combinations to generate the key.
The final generated combo will be in the original order.
'''
keys = []
# Pixel Channel only has key per mapping
if self.type == 'PixelChannel':
keys = [("{0}".format(self.pixel), self)]
# Split up each of the keys
else:
# Iterate over each trigger/result variants (expanded from ranges),
# each one is a sequence
for index, sequence in enumerate(self.triggers):
key = ""
uniq_expr = self
# If there is more than one key, copy the expression
# and remove the non-related variants
if len(self.triggers) > 1:
uniq_expr = copy.copy(self)
# Isolate variant by index
uniq_expr.triggers = [uniq_expr.triggers[index]]
# Iterate over each combo (element of the sequence)
for index, combo in enumerate(sequence):
if index > 0:
key += ", "
# Iterate over each trigger identifier
for index, identifier in enumerate(combo):
if index > 0:
key += " + "
key += "{0} {1}".format(self.connect_id, identifier)
# Add key to list
keys.append((key, uniq_expr))
# Remove any duplicate keys
# TODO Stat? Might be at neat report about how many duplicates were
# squashed
keys = list(set(keys))
return keys
PK RKMЕ
kll/common/file.py#!/usr/bin/env python3
'''
KLL File Container
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see "
def json(self):
'''
JSON representation of HIDId
'''
output = Id.json(self)
output.update(Schedule.json(self))
return output
def kllify(self):
'''
Returns KLL version of the Id
'''
schedule = self.strSchedule()
if len(schedule) > 0:
schedule = "({0})".format(schedule)
output = "{0}{1:#05x}{2}".format(self.kll_type, self.uid, schedule)
return output
class ScanCodeId(Id, Schedule, Position):
'''
Scan Code identifier container class
'''
def __init__(self, uid):
Id.__init__(self)
Schedule.__init__(self)
Position.__init__(self)
self.type = 'ScanCode'
self.uid = uid
# This uid is used for any post-processing of the uid
# The original uid is maintained in case it is needed
self.updated_uid = None
def inferred_type(self):
'''
Always returns ScanCode (simplifies code when mixed with PixelAddressId)
'''
return 'PixelAddressId_ScanCode'
def get_uid(self):
'''
Determine uid
May have been updated due to connect_id setting for interconnect offsets
'''
uid = self.uid
if self.updated_uid is not None:
uid = self.updated_uid
return uid
def uid_set(self):
'''
Returns a tuple of uids, always a single element for ScanCodeId
'''
return tuple([self.get_uid()])
def unique_key(self):
'''
Returns the key string used for datastructure sorting
'''
# Positions are a special case
if self.positionSet():
return "S{0:03d}".format(self.get_uid())
def __repr__(self):
# Positions are a special case
if self.positionSet():
return "{0} <= {1}".format(self.unique_key(), self.strPosition())
schedule = self.strSchedule()
if len(schedule) > 0:
return "S{0:03d}({1})".format(self.get_uid(), schedule)
else:
return "S{0:03d}".format(self.get_uid())
def json(self):
'''
JSON representation of ScanCodeId
'''
output = Id.json(self)
output.update(Schedule.json(self))
output.update(Position.json(self))
return output
def kllify(self):
'''
Returns KLL version of the Id
'''
schedule = self.strSchedule()
if len(schedule) > 0:
schedule = "({0})".format(schedule)
output = "S{0:#05x}{1}".format(self.get_uid(), schedule)
# Position enabled
if self.isPositionSet():
output += " <= {0}".format(self.strPosition())
return output
class LayerId(Id, Schedule):
'''
Layer identifier container class
'''
def __init__(self, type, layer):
Id.__init__(self)
Schedule.__init__(self)
self.type = type
self.uid = layer
def __repr__(self):
schedule = self.strSchedule()
if len(schedule) > 0:
return "{0}[{1}]({2})".format(
self.type,
self.uid,
schedule,
)
else:
return "{0}[{1}]".format(
self.type,
self.uid,
)
def width(self):
'''
Returns the bit width of the LayerId
This is currently 2 bytes.
'''
return 2
def json(self):
'''
JSON representation of LayerId
'''
output = Id.json(self)
output.update(Schedule.json(self))
return output
def kllify(self):
'''
Returns KLL version of the Id
'''
# The string __repr__ is KLL in this case
return str(self)
class TriggerId(Id, Schedule):
'''
Generic trigger identifier container class
'''
def __init__(self, idcode, uid):
Id.__init__(self)
Schedule.__init__(self)
self.type = 'GenericTrigger'
self.uid = uid
self.idcode = idcode
def __repr__(self):
schedule = self.strSchedule()
schedule_val = ""
if len(schedule) > 0:
schedule_val = "({})".format(schedule)
return "T[{0},{1}]{2}".format(
self.idcode,
self.uid,
schedule_val,
)
def json(self):
'''
JSON representation of TriggerId
'''
output = Id.json(self)
output.update(Schedule.json(self))
return output
def kllify(self):
'''
Returns KLL version of the Id
'''
# The string __repr__ is KLL in this case
return str(self)
class AnimationId(Id, Schedule, AnimationModifierList):
'''
Animation identifier container class
'''
name = None
def __init__(self, name, state=None):
Id.__init__(self)
Schedule.__init__(self)
AnimationModifierList.__init__(self)
self.name = name
self.type = 'Animation'
self.second_type = 'A'
self.state = state
def __repr__(self):
state = ""
if self.state is not None:
state = ", {}".format(self.state)
schedule = self.strSchedule()
if len(schedule) > 0:
return "A[{0}{1}]({2})".format(self.name, state, self.strSchedule())
if len(self.modifiers) > 0:
return "A[{0}{1}]({2})".format(self.name, state, self.strModifiers())
return self.base_repr()
def base_repr(self):
'''
Returns string of just the identifier, exclude animation modifiers
'''
state = ""
if self.state is not None:
state = ", {}".format(self.state)
return "A[{0}{1}]".format(self.name, state)
def width(self):
'''
Returns the bit width of the AnimationId
This is currently 2 bytes.
'''
return 2
def json(self):
'''
JSON representation of AnimationId
'''
output = Id.json(self)
output.update(AnimationModifierList.json(self))
output.update(Schedule.json(self))
output['name'] = self.name
output['setting'] = "{}".format(self)
output['state'] = self.state
del output['uid']
return output
class AnimationFrameId(Id, AnimationModifierList):
'''
Animation Frame identifier container class
'''
def __init__(self, name, index):
Id.__init__(self)
AnimationModifierList.__init__(self)
self.name = name
self.index = index
self.type = 'AnimationFrame'
def __repr__(self):
return "AF[{0}, {1}]".format(self.name, self.index)
def kllify(self):
'''
Returns KLL version of the Id
'''
return "A[{0}, {1}]".format(self.name, self.index)
class PixelId(Id, Position, PixelModifierList, ChannelList):
'''
Pixel identifier container class
'''
def __init__(self, uid):
Id.__init__(self)
Position.__init__(self)
PixelModifierList.__init__(self)
ChannelList.__init__(self)
self.uid = uid
self.type = 'Pixel'
def unique_key(self, kll=False):
'''
Returns the key string used for datastructure sorting
@param kll: Kll output format mode
'''
if isinstance(self.uid, HIDId) or isinstance(self.uid, ScanCodeId):
if kll:
return "{0}".format(self.uid.kllify())
return "P[{0}]".format(self.uid)
if isinstance(self.uid, PixelAddressId):
if kll:
return "P[{0}]".format(self.uid.kllify())
return "P[{0}]".format(self.uid)
if kll:
return "P{0:#05x}".format(self.uid)
return "P{0}".format(self.uid)
def __repr__(self):
# Positions are a special case
if self.positionSet():
return "{0} <= {1}".format(self.unique_key(), self.strPosition())
extra = ""
if len(self.modifiers) > 0:
extra += "({0})".format(self.strModifiers())
if len(self.channels) > 0:
extra += "({0})".format(self.strChannels())
return "{0}{1}".format(self.unique_key(), extra)
def kllify(self):
'''
KLL syntax compatible output for Pixel object
'''
# Positions are a special case
if self.positionSet():
return "{0} <= {1}".format(self.unique_key(kll=True), self.strPosition())
extra = ""
if len(self.modifiers) > 0:
extra += "({0})".format(self.strModifiers())
if len(self.channels) > 0:
extra += "({0})".format(self.strChannels())
return "{0}{1}".format(self.unique_key(kll=True), extra)
class PixelAddressId(Id):
'''
Pixel address identifier container class
'''
def __init__(self, index=None, col=None, row=None, relCol=None, relRow=None):
Id.__init__(self)
# Check to make sure index, col or row is set
if index is None and col is None and row is None and relRow is None and relCol is None:
print("{0} index, col or row must be set".format(ERROR))
self.index = index
self.col = col
self.row = row
self.relCol = relCol
self.relRow = relRow
self.type = 'PixelAddress'
def inferred_type(self):
'''
Determine which PixelAddressType based on set values
'''
if self.index is not None:
return 'PixelAddressId_Index'
if self.col is not None and self.row is None:
return 'PixelAddressId_ColumnFill'
if self.col is None and self.row is not None:
return 'PixelAddressId_RowFill'
if self.col is not None and self.row is not None:
return 'PixelAddressId_Rect'
if self.relCol is not None and self.relRow is None:
return 'PixelAddressId_RelativeColumnFill'
if self.relCol is None and self.relRow is not None:
return 'PixelAddressId_RelativeRowFill'
if self.relCol is not None and self.relRow is not None:
return 'PixelAddressId_RelativeRect'
print("{0} Unknown PixelAddressId, this is a bug!".format(ERROR))
return ""
def uid_set(self):
'''
Returns a tuple of uids, depends on what has been set.
'''
if self.index is not None:
return tuple([self.index])
if self.col is not None and self.row is None:
return tuple([self.col, self.row])
if self.col is None and self.row is not None:
return tuple([self.col, self.row])
if self.col is not None and self.row is not None:
return tuple([self.col, self.row])
if self.relCol is not None and self.relRow is None:
return tuple([self.relCol, self.relRow])
if self.relCol is None and self.relRow is not None:
return tuple([self.relCol, self.relRow])
if self.relCol is not None and self.relRow is not None:
return tuple([self.relCol, self.relRow])
print("{0} Unknown uid set, this is a bug!".format(ERROR))
return "= 0 and "+" or ""
cur_out += "{0}".format(self.valueStr(self.relRow))
output.append(cur_out)
if not self.relCol is None:
cur_out = "c:i"
cur_out += self.relCol >= 0 and "+" or ""
cur_out += "{0}".format(self.valueStr(self.relCol))
output.append(cur_out)
return output
def __repr__(self):
return "{0}".format(self.outputStrList())
def kllify(self):
'''
KLL syntax compatible output for PixelAddress object
'''
return ",".join(self.outputStrList())
class PixelLayerId(Id, PixelModifierList):
'''
Pixel Layer identifier container class
'''
def __init__(self, uid):
Id.__init__(self)
PixelModifierList.__init__(self)
self.uid = uid
self.type = 'PixelLayer'
def __repr__(self):
if len(self.modifiers) > 0:
return "PL{0}({1})".format(self.uid, self.strModifiers())
return "PL{0}".format(self.uid)
class CapId(Id):
'''
Capability identifier
'''
def __init__(self, name, type, arg_list=[]):
'''
@param name: Name of capability
@param type: Type of capability definition, string
@param arg_list: List of CapArgIds, empty list if there are none
'''
Id.__init__(self)
self.name = name
self.type = type
self.arg_list = arg_list
def __repr__(self):
# Generate prettified argument list
arg_string = ""
for arg in self.arg_list:
arg_string += "{0},".format(arg)
if len(arg_string) > 0:
arg_string = arg_string[:-1]
return "{0}({1})".format(self.name, arg_string)
def json(self):
'''
JSON representation of CapId
'''
return {
'type' : self.type,
'name' : self.name,
'args' : [arg.json() for arg in self.arg_list]
}
def total_arg_bytes(self, capabilities_dict=None):
'''
Calculate the total number of bytes needed for the args
@param capabilities_dict: Dictionary of capabilities used, just in case no widths have been assigned
return: Number of bytes
'''
# Zero if no args
total_bytes = 0
for index, arg in enumerate(self.arg_list):
# Lookup actual width if necessary (wasn't set explicitly)
if capabilities_dict is not None and (arg.type == 'CapArgValue' or arg.width is None):
# Check if there are enough arguments
expected = len(capabilities_dict[self.name].association.arg_list)
got = len(self.arg_list)
if got != expected:
print("{0} incorrect number of arguments for {1}. Expected {2} Got {3}".format(
ERROR,
self,
expected,
got,
))
print("\t{0}".format(capabilities_dict[self.name].kllify()))
raise AssertionError("Invalid arguments")
total_bytes += capabilities_dict[self.name].association.arg_list[index].width
# Otherwise use the set width
else:
total_bytes += arg.width
return total_bytes
class NoneId(CapId):
'''
None identifier
It's just a capability...that does nothing (instead of infering to do something else)
'''
def __init__(self):
super().__init__('None', 'None')
def json(self):
'''
JSON representation of NoneId
'''
return {
'type' : self.type,
}
def __repr__(self):
return "None"
class CapArgId(Id):
'''
Capability Argument identifier
'''
def __init__(self, name, width=None):
'''
@param name: Name of argument
@param width: Byte-width of the argument, if None, this is not port of a capability definition
'''
Id.__init__(self)
self.name = name
self.width = width
self.type = 'CapArg'
def __repr__(self):
if self.width is None:
return "{0}".format(self.name)
else:
return "{0}:{1}".format(self.name, self.width)
def json(self):
'''
JSON representation of CapArgId
'''
return {
'name' : self.name,
'width' : self.width,
'type' : self.type,
}
class CapArgValue(Id):
'''
Capability Argument Value identifier
'''
def __init__(self, value):
'''
@param value: Value of argument
'''
Id.__init__(self)
self.value = value
self.type = 'CapArgValue'
def __repr__(self):
return "{}".format(self.value)
def json(self):
'''
JSON representation of CapArgValue
'''
return {
'value' : self.value,
'type' : self.type,
}
PK nPMW+ + kll/common/modifier.py#!/usr/bin/env python3
'''
KLL Modifier Containers
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see '
self.value = AnimationModifierArg(self, None)
return
self.name = name
self.value = AnimationModifierArg(self, value)
def __repr__(self):
if self.value.arg is None:
return "{0}".format(self.name)
return "{0}:{1}".format(self.name, self.value)
def like(self, other):
'''
Returns true if AnimationModifier has the same name
'''
return other.name == self.name
def __eq__(self, other):
return self.like(other) and self.value.like(other.value)
def json(self):
'''
JSON representation of AnimationModifier
'''
# Determine json of self.value
value = None
if self.value is not None:
value = self.value.json()
return {
'name': self.name,
'value': value,
}
def kllify(self):
'''
Returns KLL version of the Modifier
In most cases we can just the string representation of the object
'''
return "{0}".format(self)
class AnimationModifierList:
'''
Animation modification container list class
Contains a list of modifiers, the order does not matter
'''
frameoption_modifiers = [
'framestretch',
]
def __init__(self):
self.modifiers = []
def setModifiers(self, modifier_list):
'''
Apply modifiers to Animation
'''
for modifier in modifier_list:
self.modifiers.append(AnimationModifier(modifier[0], modifier[1]))
def clean(self, new_modifier, new, old):
'''
Remove conflicting modifier if necessary
'''
if new_modifier.name == new:
for index, modifier in enumerate(self.modifiers):
if modifier.name == old:
return False
return True
def replace(self, new_modifier):
'''
Replace modifier
If it doesn't exist already, just add it.
'''
# If new_modifier is loops and loop exists, remove loop
if not self.clean(new_modifier, 'loops', 'loop'):
return
# If new_modifier is loop and loops exists, remove loops
if not self.clean(new_modifier, 'loop', 'loops'):
return
# Check for modifier
for modifier in self.modifiers:
if modifier.name == new_modifier.name:
modifier.value = new_modifier.value
return
# Otherwise just add it
self.modifiers.append(new_modifier)
def getModifier(self, name):
'''
Retrieves modifier
Returns False if doesn't exist
Returns argument if exists and has an argument, may be None
'''
for mod in self.modifiers:
if mod.name == name:
return mod.value
return False
def strModifiers(self):
'''
__repr__ of Position when multiple inheritance is used
'''
output = ""
for index, modifier in enumerate(sorted(self.modifiers, key=lambda x: x.name)):
if index > 0:
output += ","
output += "{0}".format(modifier)
return output
def __repr__(self):
return self.strModifiers()
def json(self):
'''
JSON representation of AnimationModifierList
'''
output = {
'modifiers' : [],
}
# Output sorted list of modifiers
for modifier in sorted(self.modifiers, key=lambda x: x.name):
output['modifiers'].append(modifier.json())
# Look for any frameoption modifiers
frameoption_list = []
for modifier in self.modifiers:
if modifier.name in self.frameoption_modifiers:
frameoption_list.append(modifier.name)
output['frameoptions'] = frameoption_list
return output
def kllify(self):
'''
Returns KLL version of the ModifierList
In most cases we can just the string representation of the object
'''
return "{0}".format(self)
class PixelModifier:
'''
Pixel modification container class
'''
def __init__(self, operator, value):
self.operator = operator
self.value = value
def __repr__(self):
if self.operator is None:
return "{0}".format(self.value)
return "{0}{1}".format(self.operator, self.value)
def operator_type(self):
'''
Returns operator type
'''
types = {
None: 'Set',
'+': 'Add',
'-': 'Subtract',
'+:': 'NoRoll_Add',
'-:': 'NoRoll_Subtract',
'<<': 'LeftShift',
'>>': 'RightShift',
}
return types[self.operator]
def kllify(self):
'''
Returns KLL version of the PixelModifier
In most cases we can just the string representation of the object
'''
return "{0}".format(self)
class PixelModifierList:
'''
Pixel modification container list class
Contains a list of modifiers
Index 0, corresponds to pixel 0
'''
def __init__(self):
self.modifiers = []
def setModifiers(self, modifier_list):
'''
Apply modifier to each pixel channel
'''
for modifier in modifier_list:
self.modifiers.append(PixelModifier(modifier[0], modifier[1]))
def strModifiers(self):
'''
__repr__ of Position when multiple inheritance is used
'''
output = ""
for index, modifier in enumerate(self.modifiers):
if index > 0:
output += ","
output += "{0}".format(modifier)
return output
def __repr__(self):
return self.strModifiers()
def kllify(self):
'''
Returns KLL version of the PixelModifierList
In most cases we can just the string representation of the object
'''
return "{0}".format(self)
PK RKMs s kll/common/organization.py#!/usr/bin/env python3
'''
KLL Data Organization
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see , ]
@param sequences: Sequence of combos of ranges
@returns: List of sequences of combos
'''
expandedSequences = []
# Total number of combinations of the sequence of combos that needs to be generated
totalCombinations = 1
# List of leaf lists, with number of leaves
maxLeafList = []
# Traverse to the leaf nodes, and count the items in each leaf list
for sequence in sequences:
for combo in sequence:
rangeLen = len(combo)
totalCombinations *= rangeLen
maxLeafList.append(rangeLen)
# Counter list to keep track of which combination is being generated
curLeafList = [0] * len(maxLeafList)
# Generate a list of permuations of the sequence of combos
for count in range(0, totalCombinations):
expandedSequences.append([]) # Prepare list for adding the new combination
pos = 0
# Traverse sequence of combos to generate permuation
for sequence in sequences:
expandedSequences[-1].append([])
for combo in sequence:
expandedSequences[-1][-1].append(combo[curLeafList[pos]])
pos += 1
# Increment combination tracker
for leaf in range(0, len(curLeafList)):
curLeafList[leaf] += 1
# Reset this position, increment next position (if it exists), then stop
if curLeafList[leaf] >= maxLeafList[leaf]:
curLeafList[leaf] = 0
if leaf + 1 < len(curLeafList):
curLeafList[leaf + 1] += 1
return expandedSequences
def listit(t):
'''
Convert tuple of tuples to list of lists
'''
return list(map(listit, t)) if isinstance(t, (list, tuple)) else t
def tupleit(t):
'''
Convert list of lists to tuple of tuples
'''
return tuple(map(tupleit, t)) if isinstance(t, (tuple, list)) else t
# Sub Rules
usbCode = tokenTypeOnly('USBCode') >> Make.usbCode
scanCode = tokenType('ScanCode') >> Make.scanCode
consCode = tokenTypeOnly('ConsCode') >> Make.consCode
sysCode = tokenTypeOnly('SysCode') >> Make.sysCode
indCode = tokenTypeOnly('IndCode') >> Make.indCode
animation = tokenType('Animation') >> Make.animation
pixel = tokenType('Pixel') >> Make.pixel
pixelLayer = tokenType('PixelLayer') >> Make.pixelLayer
none = tokenType('None') >> Make.none
position = tokenType('Position') >> Make.position
comma = tokenType('Comma')
content = tokenType('VariableContents')
dash = tokenType('Dash')
name = tokenType('Name')
number = tokenType('Number') >> Make.number
neg_number = maybe(dash) + number >> unarg(Make.neg_number)
numberToken = tokenTypeOnly('Number') >> Make.numberToken
percent = tokenType('Percent') >> Make.percent
plus = tokenType('Plus')
timing = tokenType('Timing') >> Make.timing
string = tokenType('String') >> Make.string
unString = tokenTypeOnly('String') # When the double quotes are still needed for internal processing
seqStringL = tokenTypeOnly('SequenceStringL') >> Make.seqStringL >> optionCompression # lspec
seqStringR = tokenTypeOnly('SequenceStringR') >> Make.seqStringR >> optionCompression # rspec
unseqString = tokenType('SequenceString') >> Make.unseqString # For use with variables
def colRowOperator(s): return a(Token('ColRowOperator', s))
def relCROperator(s): return a(Token('RelCROperator', s))
pixelOperator = tokenType('PixelOperator')
# Code variants
code_begin = tokenType('CodeBegin')
code_end = tokenType('CodeEnd')
# Specifier
specifier_basic = (timing >> Make.specifierTiming) | (name >> Make.specifierState)
specifier_complex = (name + skip(operator(':')) + timing) >> unarg(Make.specifierState)
specifier_state = specifier_complex | specifier_basic
specifier_analog = number >> Make.specifierAnalog
specifier_list = skip(parenthesis('(')) + many((specifier_state | specifier_analog) + skip(maybe(comma))) + skip(parenthesis(')'))
# Scan Codes
scanCode_start = tokenType('ScanCodeStart')
scanCode_range = number + skip(dash) + number >> Make.scanCode_range
scanCode_listElem = number >> Make.scanCode
scanCode_specifier = (scanCode_range | scanCode_listElem) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
scanCode_innerList = many(scanCode_specifier + skip(maybe(comma))) >> flatten
scanCode_expanded = skip(scanCode_start) + scanCode_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
scanCode_elem = scanCode + maybe(specifier_list) >> unarg(Make.specifierUnroll)
scanCode_combo_elem = scanCode_expanded | scanCode_elem
scanCode_single = (skip(scanCode_start) + scanCode_listElem + skip(code_end)) | scanCode
scanCode_il_nospec = oneplus((scanCode_range | scanCode_listElem) + skip(maybe(comma)))
scanCode_nospecifier = skip(scanCode_start) + scanCode_il_nospec + skip(code_end)
# Cons Codes
consCode_start = tokenType('ConsCodeStart')
consCode_number = numberToken >> Make.consCode_number
consCode_range = (consCode_number | unString) + skip(dash) + (number | unString) >> Make.consCode_range
consCode_listElemTag = unString >> Make.consCode
consCode_listElem = (consCode_number | consCode_listElemTag)
consCode_specifier = (consCode_range | consCode_listElem) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
consCode_innerList = oneplus(consCode_specifier + skip(maybe(comma))) >> flatten
consCode_expanded = skip(consCode_start) + consCode_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
consCode_elem = consCode + maybe(specifier_list) >> unarg(Make.specifierUnroll)
consCode_il_nospec = oneplus((consCode_range | consCode_listElem) + skip(maybe(comma)))
consCode_nospecifier = skip(consCode_start) + consCode_il_nospec + skip(code_end)
# Sys Codes
sysCode_start = tokenType('SysCodeStart')
sysCode_number = numberToken >> Make.sysCode_number
sysCode_range = (sysCode_number | unString) + skip(dash) + (number | unString) >> Make.sysCode_range
sysCode_listElemTag = unString >> Make.sysCode
sysCode_listElem = (sysCode_number | sysCode_listElemTag)
sysCode_specifier = (sysCode_range | sysCode_listElem) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
sysCode_innerList = oneplus(sysCode_specifier + skip(maybe(comma))) >> flatten
sysCode_expanded = skip(sysCode_start) + sysCode_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
sysCode_elem = sysCode + maybe(specifier_list) >> unarg(Make.specifierUnroll)
sysCode_il_nospec = oneplus((sysCode_range | sysCode_listElem) + skip(maybe(comma)))
sysCode_nospecifier = skip(sysCode_start) + sysCode_il_nospec + skip(code_end)
# Indicator Codes
indCode_start = tokenType('IndicatorStart')
indCode_number = numberToken >> Make.indCode_number
indCode_range = (indCode_number | unString) + skip(dash) + (number | unString) >> Make.indCode_range
indCode_listElemTag = unString >> Make.indCode
indCode_listElem = (indCode_number | indCode_listElemTag)
indCode_specifier = (indCode_range | indCode_listElem) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
indCode_innerList = oneplus(indCode_specifier + skip(maybe(comma))) >> flatten
indCode_expanded = skip(indCode_start) + indCode_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
indCode_elem = indCode + maybe(specifier_list) >> unarg(Make.specifierUnroll)
indCode_il_nospec = oneplus((indCode_range | indCode_listElem) + skip(maybe(comma)))
indCode_nospecifier = skip(indCode_start) + indCode_il_nospec + skip(code_end)
# USB Codes
usbCode_start = tokenType('USBCodeStart')
usbCode_number = numberToken >> Make.usbCode_number
usbCode_range = (usbCode_number | unString) + skip(dash) + (number | unString) >> Make.usbCode_range
usbCode_listElemTag = unString >> Make.usbCode
usbCode_listElem = (usbCode_number | usbCode_listElemTag)
usbCode_specifier = (usbCode_range | usbCode_listElem) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
usbCode_il_nospec = oneplus((usbCode_range | usbCode_listElem) + skip(maybe(comma)))
usbCode_nospecifier = skip(usbCode_start) + usbCode_il_nospec + skip(code_end)
usbCode_innerList = oneplus(usbCode_specifier + skip(maybe(comma))) >> flatten
usbCode_expanded = skip(usbCode_start) + usbCode_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.specifierUnroll)
usbCode_elem = usbCode + maybe(specifier_list) >> unarg(Make.specifierUnroll)
# HID Codes
hidCode_elem = usbCode_expanded | usbCode_elem | sysCode_expanded | sysCode_elem | consCode_expanded | consCode_elem | indCode_expanded | indCode_elem
# Layers
layer_start = tokenType('LayerStart')
layer_range = (number) + skip(dash) + (number) >> unarg(Make.range)
layer_listElem = number >> listElem
layer_innerList = oneplus((layer_range | layer_listElem) + skip(maybe(comma))) >> flatten
layer_expanded = layer_start + layer_innerList + skip(code_end) + maybe(specifier_list) >> unarg(Make.layerTypeIdent) >> unarg(Make.specifierUnroll)
# Generic Triggers
gtrigger_start = tokenType('TriggerStart')
gtrigger_parts = skip(gtrigger_start) + number + skip(comma) + number + skip(code_end) + maybe(specifier_list)
gtrigger_expanded = gtrigger_parts >> unarg(Make.genericTriggerIdent) >> unarg(Make.specifierUnroll)
# Pixels
pixel_start = tokenType('PixelStart')
pixel_range = (number) + skip(dash) + (number) >> unarg(Make.range) >> Make.pixel_address
pixel_listElem = number >> listElem >> Make.pixel_address
pixel_pos = (colRowOperator('c:') | colRowOperator('r:')) + (neg_number | percent) >> Make.pixel_address
pixel_posRel = (relCROperator('c:i+') | relCROperator('c:i-') | relCROperator('r:i+') | relCROperator('r:i-')) + (neg_number | percent) >> Make.pixel_address
pixel_posRelHere = (relCROperator('c:i') | relCROperator('r:i')) >> Make.pixel_address
pixel_posMerge = oneplus((pixel_pos | pixel_posRel | pixel_posRelHere) + skip(maybe(comma))) >> flatten >> Make.pixel_address_merge
pixel_innerList = ((oneplus((pixel_range | pixel_listElem | pixel_posMerge) + skip(maybe(comma))) >> flatten) | (pixel_posMerge)) >> Make.pixel_list
pixel_expanded = skip(pixel_start) + pixel_innerList + skip(code_end)
pixel_elem = pixel >> listElem >> Make.pixel_address
# Pixel Layer
pixellayer_start = tokenType('PixelLayerStart')
pixellayer_range = (number) + skip(dash) + (number) >> unarg(Make.range)
pixellayer_listElem = number >> listElem
pixellayer_innerList = oneplus((pixellayer_range | pixellayer_listElem) + skip(maybe(comma))) >> flatten >> Make.pixelLayer_list
pixellayer_expanded = skip(pixellayer_start) + pixellayer_innerList + skip(code_end)
pixellayer_elem = pixelLayer >> listElem
# Pixel Channels
pixelchan_chans = many(number + skip(operator(':')) + number + skip(maybe(comma)))
pixelchan_elem = ((pixel_expanded | pixel_elem) + skip(parenthesis('(')) + pixelchan_chans + skip(parenthesis(')'))) >> unarg(Make.pixelchan)
# HID Id for Pixel Mods
pixelmod_hid_elem = (usbCode | sysCode | consCode | indCode | scanCode) >> listElem
pixelmod_hid = pixelmod_hid_elem | usbCode_nospecifier | scanCode_nospecifier | consCode_nospecifier | sysCode_nospecifier | indCode_nospecifier
# Pixel Mods
pixelmod_modop = maybe(pixelOperator | plus | dash) >> listElem
pixelmod_modva = number >> listElem
pixelmod_mods = oneplus((pixelmod_modop + pixelmod_modva + skip(maybe(comma))) >> flatten)
pixelmod_layer = (pixellayer_expanded | pixellayer_elem)
pixelmod_index = (pixel_expanded | pixel_elem | pixelmod_hid | pixelmod_layer)
pixelmod_elem = pixelmod_index + skip(parenthesis('(')) + pixelmod_mods + skip(parenthesis(')')) >> unarg(Make.pixelmod)
# Pixel Capability
pixel_capability = pixelmod_elem
# Animations
animation_start = tokenType('AnimationStart')
animation_name = name
animation_frame_range = (number) + skip(dash) + (number) >> unarg(Make.range)
animation_name_frame = many((animation_frame_range | number) + skip(maybe(comma))) >> maybeFlatten
animation_def = skip(animation_start) + animation_name + skip(code_end) >> Make.animation
animation_expanded = skip(animation_start) + animation_name + skip(maybe(comma)) + animation_name_frame + skip(code_end) >> unarg(Make.animationAssociation)
animation_trigger = skip(animation_start) + animation_name + skip(code_end) + maybe(specifier_list) >> unarg(Make.animationTrigger) >> unarg(Make.specifierUnroll)
animation_flattened = animation_expanded >> flatten >> flatten
animation_elem = animation
# Animation Modifier
animation_modifier_arg = number | (name + skip(parenthesis('(')) + many(number + skip(maybe(comma))) + skip(parenthesis(')'))) | name
animation_modifier = many((name | number) + maybe(skip(operator(':')) + animation_modifier_arg) + skip(maybe(comma)))
animation_modlist = animation_modifier >> Make.animationModlist
# Animation Capability
animation_capability = ((animation_def | animation_elem) + maybe(skip(parenthesis('(')) + animation_modifier + skip(parenthesis(')')))) >> unarg(Make.animationCapability)
# Capabilities
capFunc_argument = (maybe(dash) + number) >> Make.capArgValue # TODO Allow for symbolic arguments, i.e. arrays and variables
capFunc_arguments = many(capFunc_argument + skip(maybe(comma)))
capFunc_elem = name + skip(parenthesis('(')) + capFunc_arguments + skip(parenthesis(')')) >> unarg(Make.capUsage) >> listElem
capFunc_combo = oneplus((hidCode_elem | capFunc_elem | animation_capability | pixel_capability | layer_expanded) + skip(maybe(plus))) >> listElem
capFunc_sequence = oneplus((capFunc_combo | seqStringR) + skip(maybe(comma))) >> oneLayerFlatten
# Trigger / Result Codes
triggerCode_combo = oneplus((scanCode_combo_elem | hidCode_elem | layer_expanded | animation_trigger | gtrigger_expanded) + skip(maybe(plus))) >> listElem
triggerCode_sequence = oneplus((triggerCode_combo | seqStringL | seqStringR) + skip(maybe(comma))) >> oneLayerFlatten
triggerCode_outerList = triggerCode_sequence >> optionExpansion
resultCode_outerList = ((capFunc_sequence >> optionExpansion) | none)
# Positions
position_list = oneplus(position + skip(maybe(comma)))
PK RKM0m kll/common/position.py#!/usr/bin/env python3
'''
KLL Position Containers
'''
# Copyright (C) 2016-2017 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see => ;
'''
# Define tokenization regex
lspec = [
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
('Space', (r'[ \t]+', )),
]
rspec = [
('Space', (r'[ \t]+', )),
('Parenthesis', (r'\(|\)', )),
('Operator', (r':', )),
('Comma', (r',', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
('Number', (r'-?((0x[0-9a-fA-F]+)|(0|([1-9][0-9]*)))', )),
]
# Tokenize, expression stores the result, status is returned
return self.tokenize_base(kll_expression, lspec, rspec)
def tokenize_data_association(self, kll_expression):
'''
Tokenize lparam and rparam in data association expressions
<= ;
'''
# Define tokenization regex
lspec = [
('Space', (r'[ \t]+', )),
('ScanCode', (r'S((0x[0-9a-fA-F]+)|([0-9]+))', )),
('ScanCodeStart', (r'S\[', )),
('Pixel', (r'P((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelStart', (r'P\[', )),
('Animation', (r'A"[^"]+"', )),
('AnimationStart', (r'A\[', )),
('CodeBegin', (r'\[', )),
('CodeEnd', (r'\]', )),
('Position', (r'r?[xyz]:-?[0-9]+(.[0-9]+)?', )),
('Comma', (r',', )),
('Number', (r'(0x[0-9a-fA-F]+)|(0|([1-9][0-9]*))', )),
('Dash', (r'-', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
]
rspec = [
('Space', (r'[ \t]+', )),
('Pixel', (r'P((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelStart', (r'P\[', )),
('PixelLayer', (r'PL((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelLayerStart', (r'PL\[', )),
('Animation', (r'A"[^"]+"', )),
('AnimationStart', (r'A\[', )),
('USBCode', (r'U(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('USBCodeStart', (r'U\[', )),
('ScanCode', (r'S((0x[0-9a-fA-F]+)|([0-9]+))', )),
('ScanCodeStart', (r'S\[', )),
('CodeBegin', (r'\[', )),
('CodeEnd', (r'\]', )),
('Position', (r'r?[xyz]:-?[0-9]+(.[0-9]+)?', )),
('PixelOperator', (r'(\+:|-:|>>|<<)', )),
('RelCROperator', (r'[cr]:i[+-]?', )),
('ColRowOperator', (r'[cr]:', )),
('String', (r'"[^"]*"', )),
('Operator', (r':', )),
('Comma', (r',', )),
('Parenthesis', (r'\(|\)', )),
('Percent', (r'-?(0|([1-9][0-9]*))%', )),
('Number', (r'((0x[0-9a-fA-F]+)|(0|([1-9][0-9]*)))', )),
('Dash', (r'-', )),
('Plus', (r'\+', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
]
# Tokenize, expression stores the result, status is returned
return self.tokenize_base(kll_expression, lspec, rspec)
def tokenize_assignment(self, kll_expression):
'''
Tokenize lparam and rparam in assignment expressions
= ;
'''
# Define tokenization regex
lspec = [
('Space', (r'[ \t]+', )),
('Number', (r'(0x[0-9a-fA-F]+)|(0|([1-9][0-9]*))', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
('CodeBegin', (r'\[', )),
('CodeEnd', (r'\]', )),
]
rspec = [
('Space', (r'[ \t]+', )),
('String', (r'"[^"]*"', )),
('SequenceString', (r"'[^']*'", )),
('Number', (r'(0x[0-9a-fA-F]+)|(0|([1-9][0-9]*))', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
('VariableContents', (r'''[^"' ;:=>()]+''', )),
]
# Tokenize, expression stores the result, status is returned
return self.tokenize_base(kll_expression, lspec, rspec)
def tokenize_mapping(self, kll_expression):
'''
Tokenize lparam and rparam in mapping expressions
: ; # Set mapping
:+ ; # Mappping append
:- ; # Mapping removal
:: ; # Replace mapping (does nothing if nothing to replace)
Isolated versions of mappings
When expressions are evalutated during runtime, any non-isolated mapping expressions are cancelled
i: ;
i:+ ;
i:- ;
i:: ;
'''
# Define tokenization regex
lspec = [
('Space', (r'[ \t]+', )),
('USBCode', (r'U(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('USBCodeStart', (r'U\[', )),
('ConsCode', (r'CONS(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('ConsCodeStart', (r'CONS\[', )),
('SysCode', (r'SYS(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('SysCodeStart', (r'SYS\[', )),
('ScanCode', (r'S((0x[0-9a-fA-F]+)|([0-9]+))', )),
('ScanCodeStart', (r'S\[', )),
('IndCode', (r'I(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('IndicatorStart', (r'I\[', )),
('Pixel', (r'P((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelStart', (r'P\[', )),
('Animation', (r'A"[^"]+"', )),
('AnimationStart', (r'A\[', )),
('LayerStart', (r'Layer(|Shift|Latch|Lock)\[', )),
('TriggerStart', (r'T\[', )),
('CodeBegin', (r'\[', )),
('CodeEnd', (r'\]', )),
('String', (r'"[^"]*"', )),
('SequenceStringL', (r"'[^']*'", )),
('Operator', (r':', )),
('Comma', (r',', )),
('Plus', (r'\+', )),
('Parenthesis', (r'\(|\)', )),
('Timing', (r'[0-9]+(.[0-9]+)?((s)|(ms)|(us)|(ns))', )),
('Number', (r'(0x[0-9a-fA-F]+)|(0|([1-9][0-9]*))', )),
('Dash', (r'-', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
]
rspec = [
('Space', (r'[ \t]+', )),
('USBCode', (r'U(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('USBCodeStart', (r'U\[', )),
('ConsCode', (r'CONS(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('ConsCodeStart', (r'CONS\[', )),
('SysCode', (r'SYS(("[^"]+")|(0x[0-9a-fA-F]+)|([0-9]+))', )),
('SysCodeStart', (r'SYS\[', )),
('ScanCode', (r'S((0x[0-9a-fA-F]+)|([0-9]+))', )),
('ScanCodeStart', (r'S\[', )),
('Pixel', (r'P((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelStart', (r'P\[', )),
('PixelLayer', (r'PL((0x[0-9a-fA-F]+)|([0-9]+))', )),
('PixelLayerStart', (r'PL\[', )),
('Animation', (r'A"[^"]+"', )),
('AnimationStart', (r'A\[', )),
('LayerStart', (r'Layer(|Shift|Latch|Lock)\[', )),
('CodeBegin', (r'\[', )),
('CodeEnd', (r'\]', )),
('String', (r'"[^"]*"', )),
('SequenceStringR', (r"'[^']*'", )),
('None', (r'None', )),
('Operator', (r':', )),
('Comma', (r',', )),
('Plus', (r'\+', )),
('Parenthesis', (r'\(|\)', )),
('Timing', (r'[0-9]+(.[0-9]+)?((s)|(ms)|(us)|(ns))', )),
('Number', (r'((0x[0-9a-fA-F]+)|(0|([1-9][0-9]*)))', )),
('Dash', (r'-', )),
('Name', (r'[A-Za-z_][A-Za-z_0-9]*', )),
]
# Tokenize, expression stores the result, status is returned
return self.tokenize_base(kll_expression, lspec, rspec)
## Parsers ##
def parse_base(self, kll_expression, parse_expression, quiet):
'''
Base parsing logic
@param kll_expression: Expression being parsed, contains tokens
@param parse_expression: Parse tree expression that understands the group of tokens
@param quiet: Reduces verbosity, used when re-running an errored command in debug mode
@return: False if parsing wasn't successful
'''
ret = True
try:
# Since the expressions have already been pre-organized, we only expect a single expression at a time
ret = parse_expression.parse(kll_expression.final_tokens())
# Parse intepretation error, more info is provided by the specific parse intepreter
if not ret and not quiet:
print(kll_expression.final_tokens())
except NoParseError as err:
if not quiet:
print(kll_expression.final_tokens())
print("\033[1;33m{0}\033[0m".format(err))
ret = False
raise
return ret
def parse_name_association(self, kll_expression, quiet=False):
'''
Parse name association expressions
=> ;
'''
# Import parse elements/lambda functions
from kll.common.parse import (
comma,
name,
number,
operator,
parenthesis,
unarg,
Make,
)
# Name Association
# => ;
capability_arguments = name + skip(operator(':')) + number + skip(maybe(comma)) >> unarg(Make.capArg)
capability_expression = name + skip(operator('=>')) + name + skip(parenthesis('(')) + many(capability_arguments) + skip(parenthesis(')')) >> unarg(kll_expression.capability)
# Name Association
# => ;
define_expression = name + skip(operator('=>')) + name >> unarg(kll_expression.define)
# Top-level Parser
expr = (
capability_expression |
define_expression
)
return self.parse_base(kll_expression, expr, quiet)
def parse_data_association(self, kll_expression, quiet=False):
'''
Parse data association expressions
<= ;
'''
from kll.common.parse import (
animation_def,
animation_elem,
animation_flattened,
animation_modlist,
comma,
flatten,
operator,
pixel_elem,
pixel_expanded,
pixelmod_elem,
position_list,
triggerCode_outerList,
unarg,
)
# Data Association
# <= ;
# <= ;
animation_expression = (animation_elem | animation_def) + skip(operator('<=')) + animation_modlist >> unarg(kll_expression.animation)
animationFrame_expression = animation_flattened + skip(operator('<=')) + oneplus(pixelmod_elem + skip(maybe(comma))) >> unarg(kll_expression.animationFrame)
# Data Association
# <= ;
pixelPosition_expression = (pixel_expanded | pixel_elem) + skip(operator('<=')) + position_list >> unarg(kll_expression.pixelPosition)
# Data Association
# <= ;
scanCodePosition_expression = (triggerCode_outerList >> flatten >> flatten) + skip(operator('<=')) + position_list >> unarg(kll_expression.scanCodePosition)
# Top-level Parser
expr = (
animation_expression |
animationFrame_expression |
pixelPosition_expression |
scanCodePosition_expression
)
return self.parse_base(kll_expression, expr, quiet)
def parse_assignment(self, kll_expression, quiet=False):
'''
Parse assignment expressions
= ;
'''
# Import parse elements/lambda functions
from kll.common.parse import (
code_begin,
code_end,
comma,
content,
dash,
name,
number,
operator,
string,
unarg,
unseqString,
)
# Assignment
# = ;
variable_contents = name | content | string | number | comma | dash | unseqString
variable_expression = name + skip(operator('=')) + oneplus(variable_contents) >> unarg(kll_expression.variable)
# Array Assignment
# [] = ;
# [] = ;
array_expression = name + skip(code_begin) + maybe(number) + skip(code_end) + skip(operator('=')) + oneplus(variable_contents) >> unarg(kll_expression.array)
# Top-level Parser
expr = (
array_expression |
variable_expression
)
return self.parse_base(kll_expression, expr, quiet)
def parse_mapping(self, kll_expression, quiet=False):
'''
Parse mapping expressions
: ; # Set mapping
:+ ; # Mappping append
:- ; # Mapping removal
:: ; # Replace mapping (does nothing if nothing to replace)
Isolated versions of mappings
When expressions are evalutated during runtime, any non-isolated mapping expressions are cancelled
i: ;
i:+ ;
i:- ;
i:: ;
'''
# Import parse elements/lambda functions
from kll.common.parse import (
none,
operator,
pixelchan_elem,
resultCode_outerList,
scanCode_single,
triggerCode_outerList,
unarg,
)
# Mapping
# : ;
operatorTriggerResult = operator(':') | operator(':+') | operator(':-') | operator('::') | operator('i:') | operator('i:+') | operator('i:-') | operator('i::')
triggerCode_expression = triggerCode_outerList + operatorTriggerResult + resultCode_outerList >> unarg(kll_expression.triggerCode)
# Data Association
# : ;
pixelChan_expression = pixelchan_elem + skip(operator(':')) + (scanCode_single | none) >> unarg(kll_expression.pixelChannels)
# Top-level Parser
expr = (
triggerCode_expression |
pixelChan_expression
)
return self.parse_base(kll_expression, expr, quiet)
## Processing ##
def tokenize(self, kll_context):
'''
Tokenizes contents of both LOperatorData and ROperatorData
LOperatorData and ROperatorData have different contexts, so tokenization can be simplified a bit
@param context: KLL Context containing file data
'''
ret = True
# Tokenizer map, each takes an expression argument
tokenizers = {
# Name association
'=>': self.tokenize_name_association,
# Data association
'<=': self.tokenize_data_association,
# Assignment
'=': self.tokenize_assignment,
# Mapping
# All : based operators have the same structure
# The only difference is the application context (handled in a later stage)
':': self.tokenize_mapping,
}
# Tokenize left and right parameters of the expression
for kll_expression in kll_context.expressions:
# Determine which parser to use
token = kll_expression.operator_type()
# If there was a problem tokenizing, display exprersion info
if not tokenizers[token](kll_expression):
ret = False
print("{0} {1}:tokenize -> {2}:{3}".format(
ERROR,
self.__class__.__name__,
kll_context.parent.path,
kll_expression.lparam_token.start[0],
))
# Debug Output
# Displays each parsed expression on a single line
# Includes :
if self.token_debug:
# Uncolorize if requested
output = "\033[1m{0}\033[0m:\033[1;33m{1}\033[0m:\033[1;32m{2}\033[0m\033[1;36;41m>\033[0m {3}".format(
os.path.basename(kll_context.parent.path),
kll_expression.lparam_token.start[0],
kll_expression.__class__.__name__,
kll_expression.final_tokens(),
)
print(self.color and output or ansi_escape.sub('', output))
return ret
def parse(self, kll_context):
'''
Parse the fully tokenized expressions
@param kll_context: KLL Context which has the fully tokenized expression list
'''
ret = True
# Parser map of functions, each takes an expression argument
parsers = {
# Name association
'=>': self.parse_name_association,
# Data association
'<=': self.parse_data_association,
# Assignment
'=': self.parse_assignment,
# Mapping
# All : based operators have the same structure
# The only difference is the application context (handled in a later stage)
':': self.parse_mapping,
}
# Parse each expression to extract the data from it
for kll_expression in kll_context.expressions:
token = kll_expression.operator_type()
# Assume failed, unless proven otherwise
cur_ret = False
# In some situations we don't want a parser trace, but only disable when we know
parser_debug_ignore = False
# If there was a problem parsing, display expression info
# Catch any TypeErrors due to incorrect parsing rules
try:
cur_ret = parsers[token](kll_expression)
# Unexpected token (user grammar error), sometimes might be a bug
except NoParseError as err:
import traceback
traceback.print_tb(err.__traceback__)
print(type(err).__name__, err)
print("\033[1mBad kll expression, usually a syntax error.\033[0m")
cur_ret = False
# Invalid parsing rules, definitely a bug
except TypeError as err:
import traceback
traceback.print_tb(err.__traceback__)
print(type(err).__name__, err)
print("\033[1mBad parsing rule, this is a bug!\033[0m")
# Lookup error, invalid lookup
except KeyError as err:
import traceback
print("".join(traceback.format_tb(err.__traceback__)[-1:]), end='')
print("\033[1mInvalid dictionary lookup, check syntax.\033[0m")
parser_debug_ignore = True
# Parsing failed, show more error info
if not cur_ret:
ret = False
# We don't always want a full trace of the parser
if not parser_debug_ignore:
# StringIO stream from funcparserlib parser.py
# Command failed, run again, this time with verbose logging enabled
# Helps debug erroneous parsing expressions
parser_log = io.StringIO()
# This part is not thread-safe
# You must run with --jobs 1 to get 100% valid output
Parser_debug(True, parser_log)
try:
parsers[token](kll_expression, True)
except BaseException:
pass
Parser_debug(False)
# Display
print(parser_log.getvalue())
# Cleanup StringIO
parser_log.close()
print("{0} {1}:parse -> {2}:{3}".format(
ERROR,
self.__class__.__name__,
kll_context.parent.path,
kll_expression.lparam_token.start[0],
))
# Debug Output
# Displays each parsed expression on a single line
# Includes :
if self.parser_debug:
# Uncolorize if requested
output = "\033[1m{0}\033[0m:\033[1;33m{1}\033[0m:\033[1;32m{2}\033[0m:\033[1;35m{3}\033[1;36;41m>\033[0m {4}".format(
os.path.basename(kll_context.parent.path),
kll_expression.lparam_token.start[0],
kll_expression.__class__.__name__,
kll_expression.type,
kll_expression
)
print(self.color and output or ansi_escape.sub('', output))
if self.parser_token_debug:
# Uncolorize if requested
output = "\t\033[1;4mTokens\033[0m\033[1;36m:\033[0m {0}".format(
[(t.type, t.value) for t in kll_expression.final_tokens()]
)
print(self.color and output or ansi_escape.sub('', output))
return ret
def process(self):
'''
Compiler Configuration Processing
'''
self._status = 'Running'
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Acquire thread pool
pool = self.control.stage('CompilerConfigurationStage').pool
# Get list of KLL contexts
contexts = self.control.stage('OperationClassificationStage').contexts
# Tokenize operators
if False in pool.map(self.tokenize, contexts):
self._status = 'Incomplete'
return
# Parse operators
if False in pool.map(self.parse, contexts):
self._status = 'Incomplete'
return
self._status = 'Completed'
class OperationOrganizationStage(Stage):
'''
Operation Organization Stage
* Using the type of each operation, apply the KLL Context to each operation
* This results in various datastructures being populated based upon the context and type of operation
* Each Context instance (distinct Context of the same type), remain separate
'''
def __init__(self, control):
'''
Initialize configuration variables
'''
super().__init__(control)
self.operation_organization_debug = False
self.operation_organization_display = False
def command_line_args(self, args):
'''
Group parser for command line arguments
@param args: Name space of processed arguments
'''
self.operation_organization_debug = args.operation_organization_debug
self.operation_organization_display = args.operation_organization_display
def command_line_flags(self, parser):
'''
Group parser for command line options
@param parser: argparse setup object
'''
# Create new option group
group = parser.add_argument_group('\033[1mOperation Organization Configuration\033[0m')
# Optional Arguments
group.add_argument(
'--operation-organization-debug',
action='store_true',
default=self.operation_organization_debug,
help="Enable operation organization debug output.\n",
)
group.add_argument(
'--operation-organization-display',
action='store_true',
default=self.operation_organization_display,
help="Show datastructure of each context after filling.\n",
)
def organize(self, kll_context):
'''
Organize each set of expressions on a context level
The full layout organization occurs over multiple stages, this is the first one
'''
# Add each of the expressions to the organization data structure
try:
for kll_expression in kll_context.expressions:
# Debug output
if self.operation_organization_debug:
# Uncolorize if requested
output = "\033[1m{0}\033[0m:\033[1;33m{1}\033[0m:\033[1;32m{2}\033[0m:\033[1;35m{3}\033[1;36;41m>\033[0m {4}".format(
os.path.basename(kll_context.parent.path),
kll_expression.lparam_token.start[0],
kll_expression.__class__.__name__,
kll_expression.type,
kll_expression
)
print(self.color and output or ansi_escape.sub('', output))
# Set connect_id for expression
kll_expression.connect_id = kll_context.connect_id
# Add expression
kll_context.organization.add_expression(
kll_expression,
(self.operation_organization_debug, self.color)
)
except Exception as err:
import traceback
traceback.print_tb(err.__traceback__)
print(type(err).__name__, err)
print("Could not add/modify kll expression in context datastructure.")
return False
return True
def process(self):
'''
Operation Organization Stage Processing
'''
self._status = 'Running'
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Acquire thread pool
pool = self.control.stage('CompilerConfigurationStage').pool
# Get list of KLL contexts
contexts = self.control.stage('OperationClassificationStage').contexts
# Add expressions from contexts to context datastructures
if False in pool.map(self.organize, contexts):
self._status = 'Incomplete'
return
# Show result of filling datastructure
if self.operation_organization_display:
for kll_context in contexts:
# Uncolorize if requested
output = "\033[1m{0}\033[0m:\033[1;33m{1}\033[0m".format(
os.path.basename(kll_context.parent.path),
kll_context.__class__.__name__
)
print(self.color and output or ansi_escape.sub('', output))
# Display Table
for store in kll_context.organization.stores():
# Uncolorize if requested
output = "\t\033[1;4;32m{0}\033[0m".format(
store.__class__.__name__
)
print(self.color and output or ansi_escape.sub('', output))
print(self.color and store or ansi_escape.sub('', store), end="")
self._status = 'Completed'
class DataOrganizationStage(Stage):
'''
Data Organization Stage
* Using the constructed Context datastructures, merge contexts of the same type together
* Precedence/priority is defined by the order each Context was included on the command line
* May include datastructure data optimizations
'''
def __init__(self, control):
'''
Initialize configuration variables
'''
super().__init__(control)
self.data_organization_debug = False
self.data_organization_display = False
self.contexts = None
def command_line_args(self, args):
'''
Group parser for command line arguments
@param args: Name space of processed arguments
'''
self.data_organization_debug = args.data_organization_debug
self.data_organization_display = args.data_organization_display
def command_line_flags(self, parser):
'''
Group parser for command line options
@param parser: argparse setup object
'''
# Create new option group
group = parser.add_argument_group('\033[1mData Organization Configuration\033[0m')
# Optional Arguments
group.add_argument(
'--data-organization-debug',
action='store_true',
default=self.data_organization_debug,
help="Show debug info from data organization stage.\n",
)
group.add_argument(
'--data-organization-display',
action='store_true',
default=self.data_organization_display,
help="Show datastructure of each context after merging.\n",
)
def sort_contexts(self, contexts):
'''
Returns a dictionary of list of sorted 'like' contexts
This is used to group the contexts that need merging
'''
lists = {}
for kll_context in contexts:
name = kll_context.__class__.__name__
# PartialMapContext's are sorted by name *and* layer number
if name == "PartialMapContext":
name = "{0}{1}".format(name, kll_context.layer)
# Add new list if no elements yet
if name not in lists.keys():
lists[name] = [kll_context]
else:
lists[name].append(kll_context)
if self.data_organization_debug:
output = "\033[1mContext Organization\033[0m"
for key, val in sorted(lists.items()):
output += "\n{}".format(key)
for elem in val:
output += "\n\t{} - {}".format(elem.layer_info(), elem.kll_files)
print(self.color and output or ansi_escape.sub('', output))
return lists
def organize(self, kll_context):
'''
Symbolically merge all like Contexts
The full layout organization occurs over multiple stages, this is the second stage
'''
# Lookup context name
context_name = "{0}".format(kll_context[0].__class__.__name__)
# PartialMapContext's are sorted by name *and* layer number
if context_name == "PartialMapContext":
context_name = "{0}{1}".format(context_name, kll_context[0].layer)
# Initialize merge context as the first one
self.contexts[context_name] = context.MergeContext(kll_context[0])
# Indicate when a context is skipped as there is only one
if self.data_organization_debug:
if len(kll_context) < 2:
output = "\033[1;33mSkipping\033[0m\033[1m:\033[1;32m{0}\033[0m".format(
context_name
)
print(self.color and output or ansi_escape.sub('', output))
return True
# The incoming list is ordered
# Merge in each of the contexts symbolically
for next_context in kll_context[1:]:
try:
if self.data_organization_debug:
output = "\033[1m=== Merging ===\033[0m {1} into {0}".format(self.contexts[context_name].kll_files, next_context.kll_files)
print(self.color and output or ansi_escape.sub('', output))
self.contexts[context_name].merge(
next_context,
context_name,
(self.data_organization_debug, self.color)
)
except Exception as err:
import traceback
traceback.print_tb(err.__traceback__)
print(type(err).__name__, err)
print("Could not merge '{0}' into '{1}' context.".format(
os.path.basename(next_context.parent.path),
context_name
))
return False
# After merging contexts, update Context information.
# If a BaseMap, apply modifier to each of the expressions.
# This is used by emitter to decide whether the expression can be filtered out.
if context_name == 'BaseMapContext':
for key, expr in self.contexts['BaseMapContext'].organization.mapping_data.data.items():
# Only applys to MapExpressions
if isinstance(expr[0], expression.MapExpression):
expr[0].base_map = True
return True
def process(self):
'''
Data Organization Stage Processing
'''
self._status = 'Running'
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Acquire thread pool
pool = self.control.stage('CompilerConfigurationStage').pool
# Get list of KLL contexts
contexts = self.control.stage('OperationClassificationStage').contexts
# Get sorted list of KLL contexts
sorted_contexts = self.sort_contexts(contexts)
self.contexts = {}
# Add expressions from contexts to context datastructures
if False in pool.map(self.organize, sorted_contexts.values()):
self._status = 'Incomplete'
return
# Show result of filling datastructure
if self.data_organization_display:
for key, kll_context in self.contexts.items():
# Uncolorize if requested
output = "\033[1;33m{0}\033[0m:\033[1m{1}\033[0m".format(
key,
kll_context.paths(),
)
print(self.color and output or ansi_escape.sub('', output))
# Display Table
for store in kll_context.organization.stores():
# Uncolorize if requested
output = "\t\033[1;4;32m{0}\033[0m".format(
store.__class__.__name__
)
print(self.color and output or ansi_escape.sub('', output))
print(self.color and store or ansi_escape.sub('', store), end="")
self._status = 'Completed'
class DataFinalizationStage(Stage):
'''
Data Finalization Stage
* Using the merged Context datastructures, apply the Configuration and BaseMap contexts to the higher
level DefaultMap and PartialMap Contexts
* First BaseMap is applied on top of Configuration
* Next, DefaultMap is applied on top of (Configuration+BaseMap) as well as the PartialMaps
* May include datastructure data optimizations
'''
def __init__(self, control):
'''
Initialize configuration variables
'''
super().__init__(control)
self.data_finalization_debug = False
self.data_finalization_display = False
self.base_context = None
self.default_context = None
self.partial_contexts = None
self.full_context = None
self.context_list = None
self.layer_contexts = None
def command_line_args(self, args):
'''
Group parser for command line arguments
@param args: Name space of processed arguments
'''
self.data_finalization_debug = args.data_finalization_debug
self.data_finalization_display = args.data_finalization_display
def command_line_flags(self, parser):
'''
Group parser for command line options
@param parser: argparse setup object
'''
# Create new option group
group = parser.add_argument_group('\033[1mData Organization Configuration\033[0m')
# Optional Arguments
group.add_argument(
'--data-finalization-debug',
action='store_true',
default=self.data_finalization_debug,
help="Show debug info from data finalization stage.\n",
)
group.add_argument(
'--data-finalization-display',
action='store_true',
default=self.data_finalization_display,
help="Show datastructure of each context after merging.\n",
)
def process(self):
'''
Data Organization Stage Processing
'''
self._status = 'Running'
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Get context silos
contexts = self.control.stage('DataOrganizationStage').contexts
self._status = 'Incomplete'
# Context list
self.context_list = []
# Depending on the calling order, we may need to use a GenericContext or ConfigurationContext as the base
# Default to ConfigurationContext first
if 'ConfigurationContext' in contexts.keys():
self.base_context = context.MergeContext(contexts['ConfigurationContext'])
# If we still have GenericContexts around, merge them on top of the ConfigurationContext
if 'GenericContext' in contexts.keys():
self.base_context.merge(
contexts['GenericContext'],
'GenericContext',
(self.data_finalization_debug, self.color)
)
# Otherwise, just use a GenericContext
elif 'GenericContext' in contexts.keys():
self.base_context = context.MergeContext(contexts['GenericContext'])
# Fail otherwise, you *must* have a GenericContext or ConfigurationContext
else:
print("{0} Missing a 'GenericContext' and/or 'ConfigurationContext'.".format(ERROR))
self._status = 'Incomplete'
return
# Next use the BaseMapContext and overlay on ConfigurationContext
# This serves as the basis for the next two merges
if 'BaseMapContext' in contexts.keys():
self.base_context.merge(
contexts['BaseMapContext'],
'BaseMapContext',
(self.data_finalization_debug, self.color)
)
self.context_list.append(('BaseMapContext', self.base_context))
# Then use the DefaultMapContext as the default keyboard mapping
self.default_context = context.MergeContext(self.base_context)
if 'DefaultMapContext' in contexts.keys():
self.default_context.merge(
contexts['DefaultMapContext'],
'DefaultMapContext',
(self.data_finalization_debug, self.color)
)
self.context_list.append(('DefaultMapContext', self.default_context))
# For convenience build a fully merged dataset
# This is usually only required for variables
self.full_context = context.MergeContext(self.default_context)
# Finally setup each of the PartialMapContext groups
# Build list of PartialMapContexts and sort by layer before iterating over
self.partial_contexts = []
partial_context_list = [
(item[1].layer, item[1])
for item in contexts.items()
if 'PartialMapContext' in item[0]
]
for layer, partial in sorted(partial_context_list, key=lambda x: x[0]):
# Start with base context
self.partial_contexts.append(context.MergeContext(self.base_context))
# Merge in layer
self.partial_contexts[layer].merge(
partial,
'PartialMapContext',
(self.data_finalization_debug, self.color)
)
# Add to context list
self.context_list.append(('PartialMapContext{0}'.format(layer), self.default_context))
# Add each partial to the full_context as well
self.full_context.merge(
partial,
'PartialMapContext',
(self.data_finalization_debug, self.color)
)
# Build layer context list
# Each index of the list corresponds to the keyboard layer
self.layer_contexts = [self.default_context]
self.layer_contexts.extend(self.partial_contexts)
# Show result of filling datastructure
if self.data_finalization_display:
for key, kll_context in self.context_list:
# Uncolorize if requested
output = "*\033[1;33m{0}\033[0m:\033[1m{1}\033[0m".format(
key,
kll_context.paths(),
)
print(self.color and output or ansi_escape.sub('', output))
# Display Table
for store in kll_context.organization.stores():
# Uncolorize if requested
output = "\t\033[1;4;32m{0}\033[0m".format(
store.__class__.__name__
)
print(self.color and output or ansi_escape.sub('', output))
print(self.color and store or ansi_escape.sub('', store), end="")
self._status = 'Completed'
class DataAnalysisStage(Stage):
'''
Data Analysis Stage
* Using the completed Context datastructures, do additional analysis that may be required for Code Generation
'''
def __init__(self, control):
'''
Initialize configuration variables
'''
super().__init__(control)
self.data_analysis_debug = False
self.data_analysis_display = False
self.trigger_index = []
self.result_index = []
self.trigger_index_lookup = dict()
self.trigger_index_reduced_lookup = dict()
self.result_index_lookup = dict()
self.result_index = []
self.trigger_lists = []
# NOTE Interconnect offsets are determined in the preprocessor stage
self.max_scan_code = []
self.min_scan_code = []
self.rotation_map = dict()
self.interconnect_scancode_offsets = []
self.interconnect_pixel_offsets = []
self.scancode_positions = dict()
self.pixel_positions = dict()
self.pixel_display_mapping = []
self.pixel_display_params = dict()
self.animation_settings = dict()
self.animation_settings_orig = dict()
self.animation_settings_list = []
self.animation_uid_lookup = dict()
self.partial_contexts = None
self.layer_contexts = None
self.full_context = None
def command_line_args(self, args):
'''
Group parser for command line arguments
@param args: Name space of processed arguments
'''
self.data_analysis_debug = args.data_analysis_debug
self.data_analysis_display = args.data_analysis_display
def command_line_flags(self, parser):
'''
Group parser for command line options
@param parser: argparse setup object
'''
# Create new option group
group = parser.add_argument_group('\033[1mData Analysis Configuration\033[0m')
# Optional Arguments
group.add_argument(
'--data-analysis-debug',
action='store_true',
default=self.data_analysis_debug,
help="Show debug info from data analysis stage.\n",
)
group.add_argument(
'--data-analysis-display',
action='store_true',
default=self.data_analysis_display,
help="Show results of data analysis.\n",
)
def reduction(self):
'''
Builds a new reduced_contexts list
For each of the layers, evaluate triggers into ScanCodes (USBCode to ScanCodes)
(all other triggers don't require reductions)
'''
self.reduced_contexts = []
if self.data_analysis_debug:
print("\033[1m--- Analysis Reduction ---\033[0m")
for index, layer in enumerate(self.layer_contexts):
if self.data_analysis_debug:
print("\033[1m ++ Layer {0} ++\033[0m".format(index))
reduced = context.MergeContext(layer)
reduced.reduction(debug=self.data_analysis_debug)
self.reduced_contexts.append(reduced)
# Filter out BaseMap specific expressions
if self.data_analysis_debug:
print("\033[1m == BaseMap Cleanup ==\033[0m")
# Skip DefaultLayer (0) as there is nothing to cleanup
for index, layer in enumerate(self.reduced_contexts[1:]):
if self.data_analysis_debug:
print("\033[1m ++ Layer {0} ++\033[0m".format(index + 1))
layer.cleanup((self.data_analysis_debug, self.color))
if self.data_analysis_debug:
print(layer.organization.mapping_data)
def generate_mapping_indices(self):
'''
For each trigger:result pair generate a unique index
The triggers and results are first sorted alphabetically
'''
if self.data_analysis_debug or self.data_analysis_display:
print("\033[1m--- Mapping Indices ---\033[0m")
# Build uniq dictionary of map expressions
# Only reduce true duplicates (identical kll expressions) initially
expressions = dict()
# Gather list of expressions
for index, layer in enumerate(self.reduced_contexts):
# Set initial min/max ScanCode
self.min_scan_code.append(0xFFFF)
self.max_scan_code.append(0)
# Add each expression in layer to overall dictionary lookup for command reduction
for key, elem in layer.organization.mapping_data.data.items():
# Add each of the expressions (usually just one)
# Before adding the expression, adjust the scancode using the connect_id offset
for sub_expr in elem:
scancode_offset = self.interconnect_scancode_offsets[sub_expr.connect_id]
sub_expr.add_trigger_uid_offset(scancode_offset)
expressions[sub_expr.kllify()] = sub_expr
# We only need to use the first expression, as the triggers are all the same
# Determine min ScanCode of each trigger expression
min_uid = elem[0].min_trigger_uid()
if min_uid < self.min_scan_code[index]:
self.min_scan_code[index] = min_uid
# Determine max ScanCode of each trigger expression
max_uid = elem[0].max_trigger_uid()
if max_uid > self.max_scan_code[index]:
self.max_scan_code[index] = max_uid
# Unset min_scan_code if not set
if self.min_scan_code[index] == 0xFFFF and self.max_scan_code[index] == 0:
self.min_scan_code[index] = 0
# Sort expressions by trigger and result, there may be *duplicate* triggers however don't reduce yet
# we need the trigger->result and result->trigger mappings still
trigger_sorted = dict()
trigger_sorted_reduced = dict()
result_sorted = dict()
for key, elem in expressions.items():
# Trigger Sorting (we don't use trigger_str() here as it would cause reduction)
trig_key = key
if trig_key not in trigger_sorted.keys():
trigger_sorted[trig_key] = [elem]
else:
trigger_sorted[trig_key].append(elem)
# Trigger Sorting, reduced dictionary for trigger guides (i.e. we want reduction)
trig_key = elem.trigger_str()
if trig_key not in trigger_sorted_reduced.keys():
trigger_sorted_reduced[trig_key] = [elem]
else:
trigger_sorted_reduced[trig_key].append(elem)
# Result Sorting
res_key = elem.result_str()
if res_key not in result_sorted.keys():
result_sorted[res_key] = [elem]
else:
result_sorted[res_key].append(elem)
# Debug info
if self.data_analysis_debug or self.data_analysis_display:
print("\033[1mMin ScanCode\033[0m: {0}".format(self.min_scan_code))
print("\033[1mMax ScanCode\033[0m: {0}".format(self.max_scan_code))
# Build indices
self.trigger_index = [elem for key, elem in sorted(trigger_sorted.items(), key=lambda x: x[1][0].sort_trigger())]
self.trigger_index_reduced = [elem for key, elem in sorted(trigger_sorted_reduced.items(), key=lambda x: x[1][0].sort_trigger())]
self.result_index = [elem for key, elem in sorted(result_sorted.items(), key=lambda x: x[1][0].sort_result())]
# Build index lookup
# trigger_index_lookup has a full lookup so we don't lose information
self.trigger_index_lookup = {name[0].kllify(): index for index, name in enumerate(self.trigger_index)}
self.trigger_index_reduced_lookup = {name[0].sort_trigger(): index for index, name in enumerate(self.trigger_index_reduced)}
self.result_index_lookup = {name[0].sort_result(): index for index, name in enumerate(self.result_index)}
def generate_map_offset_table(self):
'''
Generates list of offsets for each of the interconnect ids
'''
if self.data_analysis_debug or self.data_analysis_display:
print("\033[1m--- Map Offsets ---\033[0m")
print("Scan Code Offsets: {0}".format(self.interconnect_scancode_offsets))
print("Pixel Id Offsets: {0}".format(self.interconnect_pixel_offsets))
# FIXME Should this be removed entirely?
return
print("{0} This functionality is handled by the preprocessor".format(ERROR))
maxscancode = {}
maxpixelid = {}
for index, layer in enumerate(self.reduced_contexts):
# Find the max scancode of each the layers
# A max scancode for each of the interconnect ids found
for key, value in layer.organization.maxscancode().items():
if key not in maxscancode.keys() or maxscancode[key] < value:
maxscancode[key] = value
# Find the max pixel id for each of the interconnect ids found
for key, value in layer.organization.maxpixelid().items():
if key not in maxpixelid.keys() or maxpixelid[key] < value:
maxpixelid[key] = value
# Build scancode list of offsets
self.interconnect_scancode_offsets = []
cumulative = 0
if len(maxscancode.keys()) > 0:
for index in range(max(maxscancode.keys()) + 1):
# Set offset, then add max to cumulative
self.interconnect_scancode_offsets.append(cumulative)
cumulative += maxscancode[index]
# Build pixel id list of offsets
self.interconnect_pixel_offsets = []
cumulative = 0
if len(maxpixelid.keys()) > 0:
for index in range(max(maxpixelid.keys()) + 1):
# Set offset, then add max to cumulative
self.interconnect_pixel_offsets.append(cumulative)
cumulative += maxscancode[index]
if self.data_analysis_debug:
print("\033[1m--- Map Offsets ---\033[0m")
print("Scan Code Offsets: {0}".format(self.interconnect_scancode_offsets))
print("Pixel Id Offsets: {0}".format(self.interconnect_pixel_offsets))
def generate_trigger_lists(self):
'''
Generate Trigger Lists per layer using the index lists
'''
if self.data_analysis_debug or self.data_analysis_display:
print("\033[1m--- Trigger Lists ---\033[0m")
# Iterate through each of the layers (starting from 0/Default)
# Generate the trigger list for each of the ScanCodes
# A trigger list is a list of all possible trigger macros that may be initiated by a ScanCode
for index, layer in enumerate(self.reduced_contexts):
# Initialize trigger list by max index size
self.trigger_lists.append([None] * (self.max_scan_code[index] + 1))
# Iterate over each expression
for key, elem in layer.organization.mapping_data.data.items():
# Each trigger, may have multiple results
for sub_expr in elem:
# Get list of ids from expression
for identifier in sub_expr.trigger_id_list():
# If animation, set the uid first by doing a uid lookup
if identifier.type in ['Animation']:
identifier.uid = self.animation_uid_lookup[identifier.name]
# Append each uid to Trigger List
if identifier.type in ['Animation', 'IndCode', 'GenericTrigger', 'Layer', 'LayerLock', 'LayerShift', 'LayerLatch', 'ScanCode']:
# In order to uniquely identify each trigger, using full kll expression as lookup
trigger_index = self.trigger_index_lookup[sub_expr.kllify()]
# Initialize trigger list if None
if self.trigger_lists[index][identifier.get_uid()] is None:
self.trigger_lists[index][identifier.get_uid()] = [trigger_index]
# Append to trigger list, only if trigger not already added
elif trigger_index not in self.trigger_lists[index][identifier.get_uid()]:
self.trigger_lists[index][identifier.get_uid()].append(trigger_index)
# Debug output
if self.data_analysis_debug or self.data_analysis_display:
print("\033[1mTrigger List\033[0m: {0} {1}".format(index, self.trigger_lists[index]))
def generate_rotation_ranges(self):
'''
Generate Rotation Ranges
Using the reduced contexts determine the uids of the rotation triggers used.
And calculate the size of the rotation (so KLL knowns where the wrap-around occurs)
Currently only used for Generic Trigger 21
T[21,0](0) : ;
T[21,0](1) : ;
T[21,0](2) : ; # uid 0, range 0..2
T[21,3](6) : ; # uid 3, range 0..6
We don't need to worry about capabilities doing triggers that don't exist.
Those will be ignored at runtime.
'''
# Iterate over each layer
for layer in self.reduced_contexts:
# Iterate over each expression
for key, elem in layer.organization.mapping_data.data.items():
# Each trigger, may have multiple results
for sub_expr in elem:
# Get list of ids from expression
for identifier in sub_expr.trigger_id_list():
# Determine if GenericTrigger
if identifier.type in ['GenericTrigger'] and identifier.idcode == 21:
# If uid not in rotation_map, add it
if identifier.uid not in self.rotation_map.keys():
self.rotation_map[identifier.uid] = 0
# If there is no parameter raise an error
if len(identifier.parameters) != 1:
self._status = 'Incomplete'
print("{} Rotation trigger must have 1 parameter e.g. T[21,1](3): {}".format(
ERROR,
elem,
))
continue
# Set the maximum rotation value
if identifier.parameters[0].state > self.rotation_map[identifier.uid]:
self.rotation_map[identifier.uid] = identifier.parameters[0].state
def generate_pixel_display_mapping(self):
'''
Generate Pixel Display Mapping
First generate a position dictionary of all pixels using Pixel Index addresses and x,y,z positions
Build a 2-dimensinoal mapping of all Pixels.
Use UnitSize, ColumnSize and RowSize to determine pixel fit.
* Build list of all pixels in a rows/columns
* Find min/max x/y to determine size of grid
* Use UnitSize to determine where to place each Pixel
* Error if we cannot fit all Pixels
'''
# Query the scancode and pixels positions
scancode_physical = self.full_context.query('DataAssociationExpression', 'ScanCodePosition')
pixel_physical = self.full_context.query('DataAssociationExpression', 'PixelPosition')
pixel_indices = self.full_context.query('MapExpression', 'PixelChannel')
pixel_indices_filtered = list(filter(lambda x: not isinstance(x.position, list), pixel_indices.data.values()))
physical = scancode_physical.data.copy()
physical.update(pixel_physical.data)
positions = dict()
scancode_positions = dict()
for key, item in physical.items():
entry = dict()
# Acquire each dimension
entry['x'] = item.association[0].x
entry['y'] = item.association[0].y
entry['z'] = item.association[0].z
# Not every pixel has a scancode mapping
scancode_uid = None
# Check each dimension, set to 0 if None
for k in entry.keys():
if entry[k] is None:
entry[k] = 0.0
else:
entry[k] = float(entry[k])
# Query Pixel index
uid = item.association[0].uid
if isinstance(uid, id.PixelAddressId):
uid = uid.index
# Use the ScanCode to perform a pixel uid lookup
else:
# Filter list, looking for ScanCode uid
lookup = list(filter(lambda x: x.position.uid == uid, pixel_indices_filtered))
scancode_uid = uid
# TODO (HaaTa) Make sure this is a valid ScanCode
# Also add a scancode_position entry (if this is a scancode)
scancode_positions[scancode_uid] = copy.copy(entry)
# Then lookup the pixel uid
if len(lookup) > 0:
uid = lookup[0].pixel.uid.index
# Also add a PixelId if one is found to the scancode_position entry
scancode_positions[scancode_uid]['PixelId'] = uid
positions[uid] = copy.copy(entry)
# Only add ScanCode if one was found
if scancode_uid is not None:
positions[uid]['ScanCode'] = scancode_uid
# Having a full list of Physical Positions is useful during code generation
self.pixel_positions = positions
self.scancode_positions = scancode_positions
# Lookup Pixel Display Mapping parameters
variables = self.full_context.query('AssignmentExpression', 'Variable')
try:
unit_size = float(variables.data['Pixel_DisplayMapping_UnitSize'].value)
column_size = int(variables.data['Pixel_DisplayMapping_ColumnSize'].value)
row_size = int(variables.data['Pixel_DisplayMapping_RowSize'].value)
column_direction = int(variables.data['Pixel_DisplayMapping_ColumnDirection'].value)
row_direction = int(variables.data['Pixel_DisplayMapping_RowDirection'].value)
except KeyError:
unit_size = 1
column_size = 20
row_size = 20
column_direction = 1
row_direction = 1
# Determine the min/max x/y for defining the mapping bounds
minval = {'x': 0, 'y': 0}
maxval = {'x': 0, 'y': 0}
for key, item in positions.items():
for val in ['x', 'y']:
if item[val] > maxval[val]:
maxval[val] = item[val]
if item[val] < minval[val]:
minval[val] = item[val]
# Calculate grid parameters
height_val = maxval['y'] - minval['y']
width_val = maxval['x'] - minval['x']
height = int(round(height_val / unit_size * column_size)) + 1
width = int(round(width_val / unit_size * row_size)) + 1
height_offset = minval['y'] * -1
width_offset = minval['x'] * -1
# Set parameters
self.pixel_display_params['Columns'] = width
self.pixel_display_params['Rows'] = height
# Define grid
self.pixel_display_mapping = [[0 for x in range(width)] for y in range(height)]
# Place each of the pixels within the x,y mapping
# Display an error if any pixel is overwritten (i.e. replacing non-0 value)
for key, item in positions.items():
# Calculate the percentage position in the grid
x_percent = ((item['x'] + width_offset) / width_val)
y_percent = ((item['y'] + height_offset) / height_val)
# Direction
if column_direction == -1:
y_percent = 1 - y_percent
if row_direction == -1:
x_percent = 1 - x_percent
# Determine the exact position
x = x_percent * (width - 1)
y = y_percent * (height - 1)
# First check with rounding
x_round = int(round(x))
y_round = int(round(y))
# Make sure we don't overwrite another pixel
if self.pixel_display_mapping[y_round][x_round] == 0:
self.pixel_display_mapping[y_round][x_round] = key
# Error out
# XXX We should try additional fitting locations -HaaTa
else:
print("{0} Cannot fit:".format(WARNING),
key, item, x_round, y_round, self.pixel_display_mapping[y_round][x_round]
)
# Debug info
if self.data_analysis_debug:
for row in self.pixel_display_mapping:
print(row)
def find_animation_result(self, result_expr):
'''
Returns list of animation results
The string'ified version of the object is unique.
Only return a reduced list of objects.
'''
animation_dict = {}
#print( result_expr )
for seq in result_expr:
for combo in seq:
for elem in combo:
if isinstance(elem, id.AnimationId):
animation_dict["{0}".format(elem)] = elem
# Just return the values
return animation_dict.values()
def generate_animation_settings(self):
'''
Generate Animation Settings
This function reconciles default and used animation settings.
Default settings are used to simplify used animation results.
Meaning that you don't have to remember to define the correct interpolation algorithm every time.
Each permutation of animation settings is stored (along with the defaults even if not used directly).
A reduction is done such that only the minimum number of settings entries are created.
animation_settings stores the key => settings lookup
animation_settings_list stores the order of the settings (using the keys)
'''
# Setup defaults
animations = self.full_context.query('DataAssociationExpression', 'Animation')
default_animations = {}
for key, animation in sorted(animations.data.items()):
str_name = "{0}({1})".format(key, animation.value)
self.animation_settings[str_name] = animation.value
self.animation_settings_list.append(str_name)
default_animations[key] = animation.value
val_list = []
for layer in self.layer_contexts:
map_expressions = layer.query('MapExpression')
for expr_type in map_expressions:
for key, expr in map_expressions[expr_type].data.items():
if isinstance(expr, list):
for elem in expr:
val_list += self.find_animation_result(elem.results)
# Reduce settings using defaults and determine which are variants needing new settings entries
for val in sorted(frozenset(val_list), key=lambda x: x.__repr__()):
mod_default_list = []
# Lookup defaults
lookup_name = "A[{0}]".format(val.name)
str_name = "{0}".format(val)
found = False
for name in default_animations.keys():
if lookup_name == name:
mod_default_list = default_animations[name].modifiers
found = True
# Otherwise just add it, if there isn't a default
if not found:
self.animation_settings[str_name] = val
self.animation_settings_orig[str_name] = val
self.animation_settings_list.append(str_name)
continue
# Update settings with defaults
new_setting = copy.deepcopy(val)
for setting in mod_default_list:
found = False
for mod in new_setting.modifiers:
if mod.name == setting.name:
found = True
if not found:
new_setting.replace(setting)
# Add update setting
self.animation_settings[str_name] = new_setting
self.animation_settings_orig[str_name] = val
# Make sure we haven't added this setting to the list already
if str_name not in self.animation_settings_list:
self.animation_settings_list.append(str_name)
# Build uid lookup for each of the animations
count = 0
for key, animation in sorted(animations.data.items()):
self.animation_uid_lookup[animation.association.name] = count
count += 1
def analyze(self):
'''
Analyze the set of configured contexts
'''
# Reduce Contexts
# Convert all trigger USBCodes to ScanCodes
self.reduction()
# Show result of filling datastructure
if self.data_analysis_display:
for key, kll_context in enumerate(self.reduced_contexts):
# Uncolorize if requested
output = "*\033[1;33mLayer{0}\033[0m:\033[1m{1}\033[0m".format(
key,
kll_context.paths(),
)
print(self.color and output or ansi_escape.sub('', output))
# Display Table
for store in kll_context.organization.stores():
# Uncolorize if requested
output = "\t\033[1;4;32m{0}\033[0m".format(
store.__class__.__name__
)
print(self.color and output or ansi_escape.sub('', output))
print(self.color and store or ansi_escape.sub('', store), end="")
# Generate 2D Pixel Display Mapping
self.generate_pixel_display_mapping()
# Generate Animation Settings List
self.generate_animation_settings()
# Generate Offset Table
# This is needed for interconnect devices
self.generate_map_offset_table()
# Generate Indices
# Assigns a sequential index (starting from 0) for each map expresssion
self.generate_mapping_indices()
# Generate Trigger Lists
self.generate_trigger_lists()
# Generate Rotation Ranges
self.generate_rotation_ranges()
def process(self):
'''
Data Analysis Stage Processing
'''
self._status = 'Running'
self.max_scan_code = self.control.stage('PreprocessorStage').max_scan_code
self.min_scan_code = self.control.stage('PreprocessorStage').min_scan_code
self.interconnect_scancode_offsets = self.control.stage('PreprocessorStage').interconnect_scancode_offsets
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Acquire list of contexts
self.layer_contexts = self.control.stage('DataFinalizationStage').layer_contexts
self.partial_contexts = self.control.stage('DataFinalizationStage').partial_contexts
self.full_context = self.control.stage('DataFinalizationStage').full_context
# Analyze set of contexts
self.analyze()
# Return if status has changed
if self._status != 'Running':
return
self._status = 'Completed'
class CodeGenerationStage(Stage):
'''
Code Generation Stage
* Generates code for the given firmware backend
* Backend is selected in the Compiler Configuration Stage
* Uses the specified emitter to generate the code
'''
def __init__(self, control):
'''
Initialize configuration variables
'''
super().__init__(control)
def command_line_args(self, args):
'''
Group parser for command line arguments
@param args: Name space of processed arguments
'''
self.control.stage('CompilerConfigurationStage').emitters.command_line_args(args)
def command_line_flags(self, parser):
'''
Group parser for command line options
@param parser: argparse setup object
'''
# Create new option group
group = parser.add_argument_group('\033[1mCode Generation Configuration\033[0m')
# Create options groups for each of the Emitters
self.control.stage('CompilerConfigurationStage').emitters.command_line_flags(parser)
def process(self):
'''
Data Organization Stage Processing
'''
self._status = 'Running'
# Determine colorization setting
self.color = self.control.stage('CompilerConfigurationStage').color
# Get Emitter object
self.emitter = self.control.stage('CompilerConfigurationStage').emitters.emitter(
self.control.stage('CompilerConfigurationStage').emitter
)
# Call Emitter
self.emitter.process()
# Generate Outputs using Emitter
self.emitter.output()
# Check Emitter status
if self.emitter.check():
self._status = 'Completed'
else:
self._status = 'Incomplete'
class ReportGenerationStage(Stage):
'''
Report Generation Stage
* Using the datastructures and analyzed data, generate a compiler report
* TODO
'''
PK RKM O kll/emitters/README.md# KLL Compiler - emitters
The KLL compiler uses an emitter to handle the output format of the parsed input KLL file data.
The output can be in whatever format(s) that may required.
## Emitters
Description of each of the KLL emitters.
### [kiibohd](kiibohd)
The main emitter for the KLL compiler, it is used for the [Kiibohd Controller firmware](https://github.com/kiibohd/controller).
It currently generates 3-4 different files.
* `generatedKeymap.h` - Handles layers, scancode to USB code mapping and mapping to capabilities.
* `generatedPixelmap.h` - (PixelMap only) Handles LED channel mapping to pixels and animations.
* `kll_defs.h` - Various defines exported by the KLL compiler and used by the firmware.
* `kll.json` - JSON expansion of datastructures generated by the KLL compiler. Used by testing and other infrastructure around the firmware.
### [kll](kll)
This emitter generates a set of kll files using the input data.
Used by the [regen](../tests/regen.bash) unit test to determine whether the KLL compiler properly tokenized and parsed a given kll file.
Can also be used to manually combine a selection of kll files into one per layer.
### [none](none)
This emitter...generates nothing!
Generally used for syntax checking and debugging.
## Files
Brief description of each of the files.
* [emitters.py](emitters.py) - Handles each of the emitter modules. Must be updated to include new emitters.
PK RKM kll/emitters/__init__.pyPK RKM& kll/emitters/emitters.py#!/usr/bin/env python3
'''
KLL Emitters Container Classes
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see .py and __init__.py)
- In .py have one class that inherits the Emitter class from common.emitter
- Add to list of emitters below
- Add import statement to the top of this file
- The control object allows access to the entire set of KLL datastructures
'''
def __init__(self, control):
'''
Emitter initialization
@param control: ControlStage object, used to access data from other stages
'''
# Default emitter
self.default = "kiibohd"
# Dictionary of Emitters
self.emitters = {
'kiibohd': kiibohd.Kiibohd(control),
'kll': kll.KLL(control),
'none': none.Drop(control)
}
def emitter_default(self):
'''
Returns string name of default emitter
'''
return self.default
def emitter_list(self):
'''
List of emitters available
'''
return list(self.emitters.keys())
def emitter(self, emitter):
'''
Returns an emitter object
'''
return self.emitters[emitter]
def command_line_args(self, args):
'''
Group parser fan-out for emitter command line arguments
@param args: Name space of processed arguments
'''
# Always process command line args in the same order
for key, emitter in sorted(self.emitters.items(), key=lambda x: x[0]):
emitter.command_line_args(args)
def command_line_flags(self, parser):
'''
Group parser fan-out for emitter for command line options
@param parser: argparse setup object
'''
# Always process command line flags in the same order
for key, emitter in sorted(self.emitters.items(), key=lambda x: x[0]):
emitter.command_line_flags(parser)
PK RKM kll/emitters/kiibohd/__init__.pyPK SM+ + kll/emitters/kiibohd/kiibohd.py#!/usr/bin/env python3
'''
KLL Kiibohd .h/.c File Emitter
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see , ,
return "1, {0}, 0x00".format(self.capabilities_index[self.required_capabilities['USB']])
# Determine length of combo
output = "{0}".format(len(combo))
# Iterate over each trigger identifier
for index, identifier in enumerate(combo):
# Lookup capability index
cap = "/* XXX INVALID XXX */"
# HIDId
if isinstance(identifier, HIDId):
# Lookup capability index
cap_index = self.capabilities_index[self.required_capabilities[identifier.second_type]]
cap_arg = ""
# Check for a split argument (e.g. Consumer codes)
if identifier.width() > 1:
cap_arg = ", ".join(
self.byte_split(identifier.get_uid(), identifier.width())
)
# Do not lookup hid define if USB Keycode and >= 0xF0
# These are unofficial HID codes, report error
elif identifier.second_type == 'USB' and identifier.get_uid() >= 0xF0:
print("{0} '{1}' Invalid USB HID code, missing FuncMap layout (e.g. stdFuncMap, lcdFuncMap)".format(
ERROR,
identifier
))
cap_arg = "/* XXX INVALID {0} */".format(identifier)
self.error_exit = True
# Otherwise use the C define instead of the number (increases readability)
else:
try:
cap_arg = self.usb_code_lookup[identifier.type][identifier.get_hex_str()]
except KeyError as err:
print("{0} {1} HID lookup kll bug...please report.".format(ERROR, err))
self.error_exit = True
cap = "{0}, {1}".format(cap_index, cap_arg)
# None - Is instance of CapId, so has to be first
elif isinstance(identifier, NoneId):
# , ,
return "1, {0}, 0x00".format(self.capabilities_index[self.required_capabilities['USB']])
# Capability
elif isinstance(identifier, CapId):
# Lookup capability index
cap_index = self.capabilities_index[identifier.name]
# Check if we need to add arguments to capability
if identifier.total_arg_bytes(self.capabilities.data) > 0:
cap_lookup = self.capabilities.data[identifier.name].association
cap = "{0}".format(cap_index)
for arg, lookup in zip(identifier.arg_list, cap_lookup.arg_list):
cap += ", "
cap += ", ".join(self.byte_split(arg.value, lookup.width))
# Otherwise, no arguments necessary
else:
cap = "{0}".format(cap_index)
# AnimationId
elif isinstance(identifier, AnimationId):
# Lookup capability index
cap_index = self.capabilities_index[self.required_capabilities[identifier.second_type]]
cap_arg = ""
# Lookup animation setting index
settings_index = 0
lookup_id = "{0}".format(identifier)
animation_settings_list = self.control.stage('DataAnalysisStage').animation_settings_list
if lookup_id not in animation_settings_list:
print("{0} Unknown animation '{1}'".format(ERROR, lookup_id))
self.error_exit = True
else:
settings_index = animation_settings_list.index(lookup_id)
# Check for a split argument (e.g. Consumer codes)
if identifier.width() > 1:
cap_arg = ", ".join(
self.byte_split(settings_index, identifier.width())
)
cap = "{0}, {1}".format(cap_index, cap_arg)
# LayerId
elif isinstance(identifier, LayerId):
# Lookup capabilityIndex
cap_index = self.capabilities_index[self.required_capabilities[identifier.type]]
cap_arg = ""
layer_number = identifier.uid
# Check for a split argument (e.g. Consumer codes)
if identifier.width() > 1:
cap_arg = ", ".join(
self.byte_split(layer_number, identifier.width())
)
cap = "{0}, {1}".format(cap_index, cap_arg)
# Unknown/Invalid Id
else:
print("{0} Unknown identifier({1}) -> {2}".format(
ERROR,
identifier.__class__.__name__,
identifier,
))
self.error_exit = True
# Generate identifier string for element of the combo
output += ", {0}".format(
cap,
)
return output
def trigger_combo_conversion(self, combo):
'''
Converts a trigger combo (list of Ids) to the C array string format
@param combo: List of Ids/capabilities
@return: C array string format
'''
# Determine length of combo
output = "{0}".format(len(combo))
# Iterate over each trigger identifier
for index, identifier in enumerate(combo):
# Construct trigger combo
trigger = "/* XXX INVALID XXX */"
# TODO Add support for Analog keys
# TODO Add support for non-press states
uid = identifier.get_uid()
trigger_type = "/* XXX INVALID TYPE XXX */"
state = "ScheduleType_P"
no_error = False
# ScanCodeId
if isinstance(identifier, ScanCodeId):
no_error = True
# Determine the type and adjust uid
if uid < 256:
trigger_type = "TriggerType_Switch1"
elif uid < 512:
trigger_type = "TriggerType_Switch2"
uid -= 256
elif uid < 768:
trigger_type = "TriggerType_Switch3"
uid -= 512
elif uid < 1024:
trigger_type = "TriggerType_Switch4"
uid -= 768
else:
no_error = False
# LayerId
elif isinstance(identifier, LayerId):
no_error = True
# Determine the type and adjust uid
if uid < 256:
trigger_type = "TriggerType_Layer1"
elif uid < 512:
trigger_type = "TriggerType_Layer2"
uid -= 256
elif uid < 768:
trigger_type = "TriggerType_Layer3"
uid -= 512
elif uid < 1024:
trigger_type = "TriggerType_Layer4"
uid -= 768
else:
no_error = False
# Determine additional state information to encode
# OR additional information onto trigger state
if identifier.type == 'LayerShift':
state += " | ScheduleType_Shift"
elif identifier.type == 'Layer':
pass
elif identifier.type == 'LayerLatch':
state += " | ScheduleType_Latch"
elif identifier.type == 'LayerLock':
state += " | ScheduleType_Lock"
else:
no_error = False
# AnimationId
elif isinstance(identifier, AnimationId):
no_error = True
# Retrieve uid of animation
animation_uid_lookup = self.control.stage('DataAnalysisStage').animation_uid_lookup
uid = animation_uid_lookup[identifier.name]
# Retrieve state
# TODO (HaaTa) Cannot use set directly here if using Off state...
states = set(identifier.strSchedule())
# Default to either Repeat or Done
state = ""
if states == set(['R', 'D']) or len(states) == 0:
state = "ScheduleType_Repeat | ScheduleType_Done"
# Repeat
elif 'R' in states:
state = "ScheduleType_Repeat"
# Done
elif 'D' in states:
state = "ScheduleType_Done"
# Invalid
else:
no_error = False
# Determine the type and adjust uid
if uid < 256:
trigger_type = "TriggerType_Animation1"
elif uid < 512:
trigger_type = "TriggerType_Animation2"
uid -= 256
elif uid < 768:
trigger_type = "TriggerType_Animation3"
uid -= 512
elif uid < 1024:
trigger_type = "TriggerType_Animation4"
uid -= 768
else:
no_error = False
# IndCode HIDId
elif isinstance(identifier, HIDId) and identifier.type == 'IndCode':
no_error = True
# Determine the type and adjust uid
if uid < 256:
trigger_type = "TriggerType_LED1"
# Check if states are given
states = identifier.strSchedule()
if len(states) > 0:
state_list = []
if 'A' in states:
state_list.append("ScheduleType_A")
if 'On' in states:
state_list.append("ScheduleType_On")
if 'D' in states:
state_list.append("ScheduleType_D")
if 'Off' in states:
state_list.append("ScheduleType_Off")
state = " | ".join(state_list)
else:
no_error = False
# TriggerId
elif isinstance(identifier, TriggerId):
no_error = True
# No need to decode as a TriggerId has all the necessary information ready
trigger_type = identifier.idcode
# However, for the types that are known, use the full name
lookup = {
0x00: 'TriggerType_Switch1',
0x01: 'TriggerType_Switch2',
0x02: 'TriggerType_Switch3',
0x03: 'TriggerType_Switch4',
0x04: 'TriggerType_LED1',
0x05: 'TriggerType_Analog1',
0x06: 'TriggerType_Analog2',
0x07: 'TriggerType_Analog3',
0x08: 'TriggerType_Analog4',
0x09: 'TriggerType_Layer1',
0x0A: 'TriggerType_Layer2',
0x0B: 'TriggerType_Layer3',
0x0C: 'TriggerType_Layer4',
0x0D: 'TriggerType_Animation1',
0x0E: 'TriggerType_Animation2',
0x0F: 'TriggerType_Animation3',
0x10: 'TriggerType_Animation4',
0x11: 'TriggerType_Sleep1',
0x12: 'TriggerType_Resume1',
0x13: 'TriggerType_Inactive1',
0x14: 'TriggerType_Active1',
0x15: 'TriggerType_Rotation1',
0xFF: 'TriggerType_Debug',
}
if trigger_type in lookup.keys():
trigger_type = lookup[trigger_type]
uid = identifier.uid
# Rotations use state differently
if trigger_type == 'TriggerType_Rotation1':
state = identifier.parameters[0]
# Unknown/Invalid Id
else:
print("{0} Unknown identifier -> {1}".format(ERROR, identifier))
self.error_exit = True
# Set trigger if there wasn't an error
if no_error:
# , ,
trigger = "{0}, {1}, 0x{2:02X}".format(trigger_type, state, uid)
# Generate identifier string for element of the combo
output += ", {0}".format(
trigger,
)
return output
def animation_frameset(self, name, aniframe):
'''
Generates an animation frame set, and may also generate filler frames if necessary
@param name: Name for animation
@param aniframe: Animation frame data
'''
# Frame set header
self.fill_dict['AnimationFrames'] += "//// {0} Animation Frame Set ////\n".format(
name
)
self.fill_dict['AnimationFrames'] += "const uint8_t *{0}_frames[] = {{".format(
name
)
# Generate entry for each of the frames (even blank inbetweens)
for index in range(1, aniframe + 1):
self.fill_dict['AnimationFrames'] += "\n\t{0}_frame{1},".format(
name,
index
)
self.fill_dict['AnimationFrames'] += "\n\t0\n};\n\n\n"
def animation_modifier_set(self, animation, name):
'''
Check if false or None and set to 0, otherwise as argument
name is the name of the animation modifier
'''
modifier = animation.getModifier(name)
# Simple modifier
simple_mods = ['pos', 'loops', 'framedelay', 'divmask', 'frame']
if name in simple_mods:
if not modifier or modifier is None:
return 0
return modifier
if name == 'pfunc':
if not modifier or modifier is None or modifier == 'off':
return 0
if modifier.arg == 'interp':
return 1
print("{0} '{1}:{2}' is unsupported".format(WARNING, name, modifier))
return 0
if name == 'ffunc':
if not modifier or modifier is None or modifier == 'off':
return 0
print("{0} '{1}:{2}' is unsupported".format(WARNING, name, modifier))
return 0
if name == 'replace':
if not modifier or modifier is None or modifier.arg == 'stack':
return 0
if modifier.arg == 'basic':
return 1
if modifier.arg == 'all':
return 2
if modifier.arg == 'state':
return 3
if modifier.arg == 'clear':
return 4
print("{0} '{1}:{2}' is unsupported".format(WARNING, name, modifier))
return 0
print("{0} '{1}:{2}' is unsupported".format(WARNING, name, modifier))
return 0
def animation_settings_entry(self, animation, animation_name, count, additional=False):
'''
Build an animation settings string entry
'''
# For each animation index store the default settings
# - Set to 1 if start in default settings
a_start = 1
a_pause = 1
a_stop = 1
a_single = 1
if not animation.getModifier('start'):
a_start = 0
if not animation.getModifier('pause'):
a_pause = 0
if not animation.getModifier('stop'):
a_stop = 0
if not animation.getModifier('single'):
a_single = 0
# - Animation id (Animation__)
a_name = animation_name
# - Frame position
a_pos = self.animation_modifier_set(animation, 'pos')
# - Sub frame position
a_subpos = 0
# - Number of loops, set to 0 for infinite
a_loops = self.animation_modifier_set(animation, 'loops')
if animation.getModifier('loop'):
a_loops = 0
# - Frame delay
a_framedelay = self.animation_modifier_set(animation, 'framedelay')
# - Frame option
a_frameoption = []
# - frameoption Frame stretch
if animation.getModifier('framestretch'):
a_frameoption.append("PixelFrameOption_FrameStretch")
# - Frame function index
a_ffunc = self.animation_modifier_set(animation, 'ffunc')
# - Pixel function index
a_pfunc = self.animation_modifier_set(animation, 'pfunc')
# - Replacement mode
a_replace = self.animation_modifier_set(animation, 'replace')
# - Animation play state (defaults to Paused if not set)
if a_pause == 1:
a_state = "AnimationPlayState_Pause"
elif a_stop == 1:
a_state = "AnimationPlayState_Stop"
elif a_start == 1:
a_state = "AnimationPlayState_Start"
elif a_single == 1:
a_state = "AnimationPlayState_Single"
else:
a_state = "AnimationPlayState_Pause"
# Determine what to set a_frameoption
a_frameoption_str = "PixelFrameOption_None"
for option in a_frameoption:
if a_frameoption_str == "PixelFrameOption_None":
a_frameoption_str = option
else:
a_frameoption_str += " | {}".format(option)
# Do not set a_initial if this is an additional (non-default) animation settings entry
a_initial = 1
if additional:
a_initial = 0
return "\n\t{{ (TriggerMacro*){2}, {3}, /*{0} {1}*/\n\t\t{4}, {5}, {6}, {7}, {8}, {9}, {10}, {11}, {12}}},".format(
count,
animation,
# AnimationStackElement
a_initial,
a_name,
a_pos,
a_subpos,
a_loops,
a_framedelay,
a_frameoption_str,
a_ffunc,
a_pfunc,
a_replace,
a_state,
)
def process(self):
'''
Emitter Processing
Takes KLL datastructures and Analysis results then populates the fill_dict
The fill_dict is used populate the template files.
'''
# Acquire Datastructures
early_contexts = self.control.stage('DataOrganizationStage').contexts
full_context = self.control.stage('DataFinalizationStage').full_context
reduced_contexts = self.control.stage('DataAnalysisStage').reduced_contexts # Default + Partial
trigger_index = self.control.stage('DataAnalysisStage').trigger_index
trigger_index_reduced = self.control.stage('DataAnalysisStage').trigger_index_reduced
result_index = self.control.stage('DataAnalysisStage').result_index
trigger_index_reduced_lookup = self.control.stage('DataAnalysisStage').trigger_index_reduced_lookup
trigger_index_lookup = self.control.stage('DataAnalysisStage').trigger_index_lookup
result_index_lookup = self.control.stage('DataAnalysisStage').result_index_lookup
min_scan_code = self.control.stage('DataAnalysisStage').min_scan_code
max_scan_code = self.control.stage('DataAnalysisStage').max_scan_code
trigger_lists = self.control.stage('DataAnalysisStage').trigger_lists
interconnect_scancode_offsets = self.control.stage('DataAnalysisStage').interconnect_scancode_offsets
interconnect_pixel_offsets = self.control.stage('DataAnalysisStage').interconnect_pixel_offsets
rotation_map = self.control.stage('DataAnalysisStage').rotation_map
scancode_positions = self.control.stage('DataAnalysisStage').scancode_positions
pixel_positions = self.control.stage('DataAnalysisStage').pixel_positions
pixel_display_mapping = self.control.stage('DataAnalysisStage').pixel_display_mapping
pixel_display_params = self.control.stage('DataAnalysisStage').pixel_display_params
animation_settings = self.control.stage('DataAnalysisStage').animation_settings
animation_settings_orig = self.control.stage('DataAnalysisStage').animation_settings_orig
animation_settings_list = self.control.stage('DataAnalysisStage').animation_settings_list
animation_uid_lookup = self.control.stage('DataAnalysisStage').animation_uid_lookup
# Build full list of C-Defines
layout_mgr = self.control.stage('PreprocessorStage').layout_mgr
self.usb_c_defines = basic_c_defines(layout_mgr.get_layout('default'))
self.usb_code_lookup = {
'USBCode': dict([(t[1], t[0]) for t in self.usb_c_defines[0]]),
'IndCode': dict([(t[1], t[0]) for t in self.usb_c_defines[1]]),
'SysCode': dict([(t[1], t[0]) for t in self.usb_c_defines[2]]),
'ConsCode': dict([(t[1], t[0]) for t in self.usb_c_defines[3]]),
}
# Setup json datastructures
animation_id_json = dict()
animation_settings_json = dict()
animation_settings_index_json = []
pixel_id_json = dict()
scancode_json = dict()
capabilities_json = dict()
defines_json = dict()
layers_json = dict()
# Build string list of compiler arguments
compilerArgs = ""
for arg in sys.argv:
if "--" in arg or ".py" in arg:
compilerArgs += "// {0}\n".format(arg)
else:
compilerArgs += "// {0}\n".format(arg)
# Build a string of modified files, if any
gitChangesStr = "\n"
if len(self.control.git_changes) > 0:
for gitFile in self.control.git_changes:
gitChangesStr += "// {0}\n".format(gitFile)
else:
gitChangesStr = " None\n"
def get_context_name(context_type, contexts=None):
'''
Retrieve context names and paths
@param context_type: Name of context type
@return: List of name and context paths
'''
if contexts is None:
contexts = early_contexts[context_type].query_contexts('AssignmentExpression', 'Array')
output = []
for sub in contexts:
name = "None"
if 'Name' in sub[0].data.keys():
name = sub[0].data['Name'].value
else:
print("{0} 'Name' field missing from '{1}' context".format(WARNING, context_type))
path = sub[1].parent.path
output.append((name, path))
return output
# Prepare BaseLayout and Layer Info
configLayoutInfo = ""
if 'ConfigurationContext' in early_contexts.keys():
for pair in get_context_name('ConfigurationContext'):
configLayoutInfo += "// {0}\n// {1}\n".format(pair[0], pair[1])
genericLayoutInfo = ""
if 'GenericContext' in early_contexts.keys():
for pair in get_context_name('GenericContext'):
genericLayoutInfo += "// {0}\n// {1}\n".format(pair[0], pair[1])
baseLayoutInfo = ""
if 'BaseMapContext' in early_contexts.keys():
for pair in get_context_name('BaseMapContext'):
baseLayoutInfo += "// {0}\n// {1}\n".format(pair[0], pair[1])
defaultLayerInfo = ""
if 'DefaultMapContext' in early_contexts.keys():
for pair in get_context_name('DefaultMapContext'):
defaultLayerInfo += "// {0}\n// {1}\n".format(pair[0], pair[1])
partialLayersInfo = ""
partial_context_list = [
(item[1].layer, item[0])
for item in early_contexts.items()
if 'PartialMapContext' in item[0]
]
for layer, tag in sorted(partial_context_list, key=lambda x: x[0]):
partialLayersInfo += "// Layer {0}\n".format(layer + 1)
contexts = early_contexts[tag].query_contexts('AssignmentExpression', 'Array')
for pair in get_context_name('PartialMapContext', contexts):
partialLayersInfo += "// {0}\n// {1}\n".format(pair[0], pair[1])
## Information ##
self.fill_dict['Information'] = "// This file was generated by the kll compiler, DO NOT EDIT.\n"
self.fill_dict['Information'] += "// Generation Date: {0}\n".format(date.today())
self.fill_dict['Information'] += "// KLL Emitter: {0}\n".format(
self.control.stage('CompilerConfigurationStage').emitter
)
self.fill_dict['Information'] += "// KLL Version: {0}\n".format(self.control.version)
self.fill_dict['Information'] += "// KLL Git Changes:{0}".format(gitChangesStr)
self.fill_dict['Information'] += "// Compiler arguments:\n{0}".format(compilerArgs)
self.fill_dict['Information'] += "//\n"
self.fill_dict['Information'] += "// - Configuration File -\n{0}".format(configLayoutInfo)
self.fill_dict['Information'] += "// - Generic Files -\n{0}".format(genericLayoutInfo)
self.fill_dict['Information'] += "// - Base Layer -\n{0}".format(baseLayoutInfo)
self.fill_dict['Information'] += "// - Default Layer -\n{0}".format(defaultLayerInfo)
self.fill_dict['Information'] += "// - Partial Layers -\n{0}".format(partialLayersInfo)
## Defines ##
self.fill_dict['Defines'] = ""
# Iterate through defines and lookup the variables
defines = full_context.query('NameAssociationExpression', 'Define')
variables = full_context.query('AssignmentExpression', 'Variable')
for dkey, dvalue in sorted(defines.data.items()):
if dvalue.name in variables.data.keys():
# TODO Handle arrays
if not isinstance(variables.data[dvalue.name].value, list):
value = variables.data[dvalue.name].value.replace('\n', ' \\\n')
self.fill_dict['Defines'] += "\n#define {0} {1}".format(
dvalue.association,
value,
)
defines_json[dvalue.name] = {
'name' : dvalue.association,
'value' : value,
}
else:
print("{0} '{1}' not defined...".format(WARNING, dvalue.name))
## Capabilities ##
self.fill_dict['CapabilitiesFuncDecl'] = ""
self.fill_dict['CapabilitiesList'] = "const Capability CapabilitiesList[] = {\n"
self.fill_dict['CapabilitiesIndices'] = "typedef enum CapabilityIndex {\n"
# Sorted by C Function name
self.capabilities = full_context.query('NameAssociationExpression', 'Capability')
self.capabilities_index = dict()
count = 0
safe_capabilities = [
# PartialMap
"layerState",
"layerLatch",
"layerLock",
"layerShift",
"layerRotate",
"testThreadSafe",
# USB
"consCtrlOut",
"noneOut",
"sysCtrlOut",
"usbKeyOut",
"mouseOut",
"mouseWheelOut",
"flashMode",
]
for dkey, dvalue in sorted(self.capabilities.data.items(), key=lambda x: x[1].association.name):
funcName = dvalue.association.name
argByteWidth = dvalue.association.total_arg_bytes()
features = "CapabilityFeature_Safe" if dkey in safe_capabilities else "CapabilityFeature_None"
self.fill_dict['CapabilitiesList'] += "\t/* {3} {4} */\n\t{{ {0}, {1}, {2} }},\n".format(
funcName,
argByteWidth,
features,
count,
dkey,
)
self.fill_dict['CapabilitiesFuncDecl'] += \
"void {0}( TriggerMacro *trigger, uint8_t state, uint8_t stateType, uint8_t *args );\n".format(funcName)
self.fill_dict['CapabilitiesIndices'] += "\t{0}_index,\n".format(funcName)
# Add to json
capabilities_json[dkey] = {
'args_count' : len(dvalue.association.arg_list),
'args' : [],
'name' : funcName,
'index' : count,
'features' : features,
}
for arg in dvalue.association.arg_list:
capabilities_json[dkey]['args'].append({
'name' : arg.name,
'width' : arg.width,
})
# Generate index for result lookup
self.capabilities_index[dkey] = count
count += 1
self.fill_dict['CapabilitiesList'] += "};"
self.fill_dict['CapabilitiesIndices'] += "} CapabilityIndex;"
# Validate that we have the required capabilities
for key, elem in self.required_capabilities.items():
if elem not in self.capabilities_index.keys():
if key not in self.optional_required_capabilities:
self.error_exit = True
print("{0} Required capability '{1}' for '{2}' is missing!".format(
ERROR,
elem,
key,
))
## Results Macros ##
self.fill_dict['ResultMacros'] = ""
# Iterate through each of the indexed result macros
# This is the full set of result macros, layers are handled separately
for index, result in enumerate(result_index):
self.fill_dict['ResultMacros'] += "Guide_RM( {0} ) = {{ ".format(index)
# Add the result macro capability index guide (including capability arguments)
# See kiibohd controller Macros/PartialMap/kll.h for exact formatting details
for seq_index, sequence in enumerate(result[0].results):
# If the sequence is longer than 1, prepend a sequence spacer
# Needed for USB behaviour, otherwise, repeated keys will not work
if seq_index > 0:
# , ,
self.fill_dict['ResultMacros'] += "{0}, ".format(self.result_combo_conversion())
# Iterate over each combo (element of the sequence)
for com_index, combo in enumerate(sequence):
# Convert capability and arguments to output spring
self.fill_dict['ResultMacros'] += "{0}, ".format(self.result_combo_conversion(combo))
# If sequence is longer than 1, append a sequence spacer at the end of the sequence
# Required by USB to end at sequence without holding the key down
if len(result[0].results[0]) > 1:
# , ,
self.fill_dict['ResultMacros'] += "{0}, ".format(self.result_combo_conversion())
# Add list ending 0 and end of list
self.fill_dict['ResultMacros'] += "0 }}; // {0}\n".format(
result[0].result_str()
)
self.fill_dict['ResultMacros'] = self.fill_dict['ResultMacros'][:-1] # Remove last newline
## Result Macro List ##
self.fill_dict['ResultMacroList'] = "const ResultMacro ResultMacroList[] = {\n"
# Iterate through each of the result macros
for index, result in enumerate(result_index):
# Include debug string for each result macro
self.fill_dict['ResultMacroList'] += "\tDefine_RM( {0} ), // {1}\n".format(
index,
result[0].result_str()
)
self.fill_dict['ResultMacroList'] += "};"
## Trigger Macros ##
self.fill_dict['TriggerMacros'] = ""
# Iterate through each of the trigger macros
for index, trigger in enumerate(trigger_index_reduced):
self.fill_dict['TriggerMacros'] += "Guide_TM( {0} ) = {{ ".format(index)
# Add the trigger macro scan code guide
# See kiibohd controller Macros/PartialMap/kll.h for exact formatting details
for seq_index, sequence in enumerate(trigger[0].triggers):
# Iterate over each combo (element of the sequence)
# For each combo, add the length, key type, key state and scan code
for com_index, combo in enumerate(sequence):
# Convert each combo into an array of bytes
self.fill_dict['TriggerMacros'] += "{0}, ".format(
self.trigger_combo_conversion(combo)
)
# Add list ending 0 and end of list
self.fill_dict['TriggerMacros'] += "0 }}; // {0}\n".format(
trigger[0].trigger_str()
)
self.fill_dict['TriggerMacros'] = self.fill_dict['TriggerMacros'][:-1] # Remove last newline
## Trigger Macro List ##
self.fill_dict['TriggerMacroList'] = "const TriggerMacro TriggerMacroList[] = {\n"
# Iterate through each of the trigger macros
for index, trigger in enumerate(trigger_index):
# Use TriggerMacro Index, and the corresponding ResultMacro Index, including debug string
self.fill_dict['TriggerMacroList'] += "\t/* {3} */ Define_TM( {0}, {1} ), // {2}\n".format(
trigger_index_reduced_lookup[trigger[0].sort_trigger()],
result_index_lookup[trigger[0].sort_result()],
trigger[0],
index
)
self.fill_dict['TriggerMacroList'] += "};"
## Trigger Macro Record ##
self.fill_dict['TriggerMacroRecord'] = "TriggerMacroRecord TriggerMacroRecordList[ TriggerMacroNum ];"
## Max Scan Code ##
self.fill_dict['MaxScanCode'] = "#define MaxScanCode 0x{0:X}".format(max(max_scan_code))
## Interconnect ScanCode Offset List ##
self.fill_dict['ScanCodeInterconnectOffsetList'] = "const uint8_t InterconnectOffsetList[] = {\n"
for index, offset in enumerate(interconnect_scancode_offsets):
self.fill_dict['ScanCodeInterconnectOffsetList'] += "\t0x{0:02X},\n".format(
offset
)
self.fill_dict['ScanCodeInterconnectOffsetList'] += "};"
## Max Interconnect Nodes ##
self.fill_dict['InterconnectNodeMax'] = "#define InterconnectNodeMax 0x{0:X}\n".format(
len(interconnect_scancode_offsets)
)
## Default Layer and Default Layer Scan Map ##
self.fill_dict['DefaultLayerTriggerList'] = ""
self.fill_dict['DefaultLayerScanMap'] = "const nat_ptr_t *default_scanMap[] = { \n"
# Iterate over triggerList and generate a C trigger array for the default map and default map array
for index, trigger_list in enumerate(trigger_lists[0][min_scan_code[0]:]):
trigger_list_len = 0
if trigger_list is not None:
trigger_list_len = len(trigger_list)
# Generate ScanCode index and triggerList length
self.fill_dict['DefaultLayerTriggerList'] += "Define_TL( default, 0x{0:02X} ) = {{ {1}".format(
index,
trigger_list_len
)
# Add scanCode trigger list to Default Layer Scan Map
self.fill_dict['DefaultLayerScanMap'] += "default_tl_0x{0:02X}, ".format(index)
# Add each item of the trigger list
if trigger_list_len > 0:
for trigger_code in trigger_list:
self.fill_dict['DefaultLayerTriggerList'] += ", {0}".format(trigger_code)
self.fill_dict['DefaultLayerTriggerList'] += " };\n"
self.fill_dict['DefaultLayerTriggerList'] = self.fill_dict['DefaultLayerTriggerList'][:-1] # Remove last newline
self.fill_dict['DefaultLayerScanMap'] = self.fill_dict['DefaultLayerScanMap'][:-2] # Remove last comma and space
self.fill_dict['DefaultLayerScanMap'] += "\n};"
## Partial Layers and Partial Layer Scan Maps ##
self.fill_dict['PartialLayerTriggerLists'] = ""
self.fill_dict['PartialLayerScanMaps'] = ""
# Iterate over each of the layers, excluding the default layer
for lay_index, layer in enumerate(trigger_lists):
# Skip first layer (already done)
if lay_index == 0:
continue
# Prepare each layer
self.fill_dict['PartialLayerScanMaps'] += "// Partial Layer {0}\n".format(lay_index)
self.fill_dict['PartialLayerScanMaps'] += "const nat_ptr_t *layer{0}_scanMap[] = {{ \n".format(lay_index)
self.fill_dict['PartialLayerTriggerLists'] += "// Partial Layer {0}\n".format(lay_index)
# Iterate over triggerList and generate a C trigger array for the layer
for trig_index, trigger_list in enumerate(layer[min_scan_code[lay_index]:max_scan_code[lay_index] + 1]):
# Generate ScanCode index and layer
self.fill_dict['PartialLayerTriggerLists'] += \
"Define_TL( layer{0}, 0x{1:02X} ) = {{".format(
lay_index,
trig_index,
)
# TriggerList length
if trigger_list is not None:
self.fill_dict['PartialLayerTriggerLists'] += " {0}".format(
len(trigger_list)
)
# Blank trigger (Dropped), zero length
else:
self.fill_dict['PartialLayerTriggerLists'] += " 0"
# Add scanCode trigger list to Default Layer Scan Map
self.fill_dict['PartialLayerScanMaps'] += "layer{0}_tl_0x{1:02X}, ".format(
lay_index,
trig_index,
)
# Add each item of the trigger list
if trigger_list is not None:
for trigger_code in trigger_list:
self.fill_dict['PartialLayerTriggerLists'] += ", {0}".format(
trigger_code
)
self.fill_dict['PartialLayerTriggerLists'] += " };\n"
self.fill_dict['PartialLayerTriggerLists'] += "\n"
self.fill_dict['PartialLayerScanMaps'] = self.fill_dict['PartialLayerScanMaps'][:-2] # Remove last comma and space
self.fill_dict['PartialLayerScanMaps'] += "\n};\n\n"
self.fill_dict['PartialLayerTriggerLists'] = self.fill_dict['PartialLayerTriggerLists'][:-2] # Remove last 2 newlines
self.fill_dict['PartialLayerScanMaps'] = self.fill_dict['PartialLayerScanMaps'][:-2] # Remove last 2 newlines
## Layer Index List ##
self.fill_dict['LayerIndexList'] = "const Layer LayerIndex[] = {\n"
# Iterate over each layer, adding it to the list
for layer, layer_context in enumerate(reduced_contexts):
# Generate stacked name (ignore capabilities.kll and scancode_map.kll)
stack_name = ""
for name in layer_context.files():
if name not in ["capabilities.kll", "scancode_map.kll"]:
stack_name += "{0} + ".format(name)
# Apply default name if using standard layout
if stack_name == "":
stack_name = "StandardLayer"
else:
stack_name = stack_name[:-3]
# Default map is a special case, always the first index
if layer == 0:
self.fill_dict['LayerIndexList'] += '\tLayer_IN( default_scanMap, "D: {1}", 0x{0:02X} ),\n'.format(min_scan_code[layer], stack_name)
else:
self.fill_dict['LayerIndexList'] += '\tLayer_IN( layer{0}_scanMap, "{0}: {2}", 0x{1:02X} ),\n'.format(layer, min_scan_code[layer], stack_name)
self.fill_dict['LayerIndexList'] += "};"
## Layer State ##
self.fill_dict['LayerState'] = "LayerStateType LayerState[ LayerNum ];"
## Layers JSON ##
# Layer 0 is the default map
# Layer 1+ are the partial maps
for layer, layer_context in enumerate(reduced_contexts):
layer_info = dict()
for key, mapped_trigger in sorted(layer_context.organization.mapping_data.data.items()):
layer_info[key] = {
'trigger' : mapped_trigger[0].triggersSequenceOfCombosOfIds(),
'result' : mapped_trigger[0].resultsSequenceOfCombosOfIds(),
'kll' : mapped_trigger[0].kllify()
}
layers_json[layer] = layer_info
## PixelId Physical Positions ##
for key, entry in sorted(pixel_positions.items()):
# Add physical pixel positions and ScanCode (if available) to json
pixel_id_json.setdefault(key, dict()).update(entry)
## ScanCode Physical Positions ##
for key, entry in sorted(scancode_positions.items()):
# Add physical scancode positions and PixelId (if available) to json
scancode_json.setdefault(key, dict()).update(entry)
## Rotation Trigger Parameters
max_rotations = 0
if rotation_map.keys():
max_rotations = max(rotation_map.keys())
self.fill_dict['RotationParameters'] = 'const uint8_t Rotation_MaxParameter[] = {\n'
for key, entry in sorted(rotation_map.items()):
self.fill_dict['RotationParameters'] += '\t{}, // {}\n'.format(
entry,
key,
)
self.fill_dict['RotationParameters'] += '};'
## Pixel Buffer Setup ##
# Only add sections if Pixel Buffer is defined
self.use_pixel_map = 'Pixel_Buffer_Size' in defines.data.keys()
self.fill_dict['AnimationList'] = ""
if self.use_pixel_map:
self.fill_dict['PixelBufferSetup'] = "PixelBuf Pixel_Buffers[] = {\n"
# Lookup number of buffers
bufsize = len(variables.data[defines.data['Pixel_Buffer_Size'].name].value)
for index in range(bufsize):
self.fill_dict['PixelBufferSetup'] += "\tPixelBufElem( {0}, {1}, {2}, {3} ),\n".format(
variables.data[defines.data['Pixel_Buffer_Length'].name].value[index],
variables.data[defines.data['Pixel_Buffer_Width'].name].value[index],
variables.data[defines.data['Pixel_Buffer_Size'].name].value[index],
variables.data[defines.data['Pixel_Buffer_Buffer'].name].value[index],
)
self.fill_dict['PixelBufferSetup'] += "};"
# Compute total number of channels
totalchannels = "{0} + {1}".format(
variables.data[defines.data['Pixel_Buffer_Length'].name].value[bufsize - 1],
variables.data[defines.data['Pixel_Buffer_Size'].name].value[bufsize - 1],
)
# Only include if defined
# XXX (HaaTa) This has to be done to make sure KLL compiler is still compatible with older KLL files
if 'LED_Buffer_Size' in variables.data.keys():
self.fill_dict['PixelBufferSetup'] += "\nPixelBuf LED_Buffers[] = {\n"
# Lookup number of buffers (LED)
ledbufsize = len(variables.data[defines.data['LED_Buffer_Size'].name].value)
for index in range(ledbufsize):
self.fill_dict['PixelBufferSetup'] += "\tPixelBufElem( {0}, {1}, {2}, {3} ),\n".format(
variables.data[defines.data['LED_Buffer_Length'].name].value[index],
variables.data[defines.data['LED_Buffer_Width'].name].value[index],
variables.data[defines.data['LED_Buffer_Size'].name].value[index],
variables.data[defines.data['LED_Buffer_Buffer'].name].value[index],
)
self.fill_dict['PixelBufferSetup'] += "};"
# Add LED fade group(s)
self.fill_dict['PixelFadeConfig'] = ""
ledgroupsize = len(variables.data[defines.data['KLL_LED_FadeGroup'].name].value)
for index in range(ledgroupsize):
self.fill_dict['PixelFadeConfig'] += "const uint16_t Pixel_LED_DefaultFadeGroup{}[] = {{\n".format(
index
)
data = variables.data[defines.data['KLL_LED_FadeGroup'].name].value[index]
if data != "":
self.fill_dict['PixelFadeConfig'] += "\t{}\n".format(data)
self.fill_dict['PixelFadeConfig'] += "};\n"
self.fill_dict['PixelFadeConfig'] += "const PixelLEDGroupEntry Pixel_LED_DefaultFadeGroups[] = {\n"
for index in range(ledgroupsize):
# Count number of elements
data = variables.data[defines.data['KLL_LED_FadeGroup'].name].value[index]
count = len(data.split(','))
if data == "":
count = 0
self.fill_dict['PixelFadeConfig'] += "\t{{ {}, Pixel_LED_DefaultFadeGroup{} }},\n".format(
count,
index,
)
self.fill_dict['PixelFadeConfig'] += "};\n"
# Add fade periods
self.fill_dict['PixelFadeConfig'] += "const PixelPeriodConfig Pixel_LED_FadePeriods[16] = {\n"
periodgroupsize = len(variables.data[defines.data['KLL_LED_FadePeriod'].name].value)
for index in range(periodgroupsize):
# Construct array
self.fill_dict['PixelFadeConfig'] += "\t{}, // {}\n".format(
variables.data[defines.data['KLL_LED_FadePeriod'].name].value[index],
index,
)
self.fill_dict['PixelFadeConfig'] += "};\n"
def fade_default_config(name):
fadeconfigsize = len(variables.data[defines.data[name].name].value)
self.fill_dict['PixelFadeConfig'] += "\t{ "
for index in range(fadeconfigsize):
self.fill_dict['PixelFadeConfig'] += "{}, ".format(
variables.data[defines.data[name].name].value[index]
)
self.fill_dict['PixelFadeConfig'] += "}}, // {}\n".format(name)
# Add fade configs
self.fill_dict['PixelFadeConfig'] += "const uint8_t Pixel_LED_FadePeriod_Defaults[4][4] = {\n"
fade_default_config('KLL_LED_FadeDefaultConfig0')
fade_default_config('KLL_LED_FadeDefaultConfig1')
fade_default_config('KLL_LED_FadeDefaultConfig2')
fade_default_config('KLL_LED_FadeDefaultConfig3')
self.fill_dict['PixelFadeConfig'] += "};"
# Compute total number of channels (LED)
totalchannels = "{0} + {1}".format(
variables.data[defines.data['LED_Buffer_Length'].name].value[ledbufsize - 1],
variables.data[defines.data['LED_Buffer_Size'].name].value[ledbufsize - 1],
)
## Pixel Mapping ##
## ScanCode to Pixel Mapping ##
pixel_indices = full_context.query('MapExpression', 'PixelChannel')
self.fill_dict['PixelMapping'] = "const PixelElement Pixel_Mapping[] = {\n"
self.fill_dict['ScanCodeToPixelMapping'] = "const uint16_t Pixel_ScanCodeToPixel[] = {\n"
self.fill_dict['ScanCodeToDisplayMapping'] = "const uint16_t Pixel_ScanCodeToDisplay[] = {\n"
# Add row, column of Pixel to json (mirror lookup to Scan Code Positions as well)
for y, elem in enumerate(pixel_display_mapping):
for x, pixelid in enumerate(elem):
entry = {'Row': y, 'Col': x}
pixel_uid = pixelid + 1
pixel_id_json.setdefault(pixel_uid, dict()).update(entry)
if 'ScanCode' in pixel_id_json[pixel_uid].keys():
scancode_uid = pixel_id_json[pixel_uid]['ScanCode']
scancode_json[scancode_uid].update(entry)
last_uid = 0
last_scancode = 0
for key, item in sorted(pixel_indices.data.items(), key=lambda x: x[1].pixel.uid.index):
last_uid += 1
last_scancode += 1
# If last_uid isn't directly before, insert placeholder(s)
while last_uid != item.pixel.uid.index:
self.fill_dict['PixelMapping'] += "\tPixel_Blank(), // {0}\n".format(last_uid)
last_uid += 1
# Lookup width and number of channels
width = item.pixel.channels[0].width
channels = len(item.pixel.channels)
self.fill_dict['PixelMapping'] += "\t{{ {0}, {1}, {{".format(width, channels)
# Iterate over the channels (assuming same width)
for ch in range(channels):
# Add comma if not first channel
if ch != 0:
self.fill_dict['PixelMapping'] += ","
self.fill_dict['PixelMapping'] += "{0}".format(item.pixel.channels[ch].uid)
self.fill_dict['PixelMapping'] += "}} }}, // {0}\n".format(key)
# Skip if not mapped to a scancode
if isinstance(item.position, list):
continue
# Add ScanCodeToPixelMapping entry
# Add ScanCodeToDisplayMapping entry
while item.position.uid != last_scancode and item.position.uid >= last_scancode:
# Fill in unused scancodes
self.fill_dict['ScanCodeToPixelMapping'] += "\t/*{0}*/ 0,\n".format(last_scancode)
self.fill_dict['ScanCodeToDisplayMapping'] += "\t/*__,__ {0}*/ 0,\n".format(last_scancode)
last_scancode += 1
self.fill_dict['ScanCodeToPixelMapping'] += "\t/*{0}*/ {1}, // {2}\n".format(
last_scancode,
item.pixel.uid.index,
key
)
# Find Pixel_DisplayMapping offset
offset_row = 0
offset_col = 0
offset = 0
for y_list in pixel_display_mapping:
for x_item in y_list:
if x_item == item.pixel.uid.index:
offset = offset_row * pixel_display_params['Columns'] + offset_col
break
offset_col += 1
# Offset found
if offset != 0:
break
offset_row += 1
offset_col = 0
self.fill_dict['ScanCodeToDisplayMapping'] += "\t/*{3: >2},{4: >2} {0}*/ {1}, // {2}\n".format(
last_scancode,
offset,
key,
offset_col,
offset_row,
)
totalpixels = last_uid
self.fill_dict['PixelMapping'] += "};"
self.fill_dict['ScanCodeToPixelMapping'] += "};"
self.fill_dict['ScanCodeToDisplayMapping'] += "};"
## Pixel Display Mapping ##
self.fill_dict['PixelDisplayMapping'] = "const uint16_t Pixel_DisplayMapping[] = {\n"
for y_list in pixel_display_mapping:
self.fill_dict['PixelDisplayMapping'] += \
",".join("{0: >3}".format(x) for x in y_list) + ",\n"
self.fill_dict['PixelDisplayMapping'] += "};"
## Animations ##
# TODO - Use reduced_contexts and generate per-layer (naming gets tricky)
# Currently using full_context which is not as configurable
self.fill_dict['Animations'] = "const uint8_t **Pixel_Animations[] = {"
self.fill_dict['AnimationSettings'] = "const AnimationStackElement Pixel_AnimationSettings[] = {"
self.fill_dict['AnimationList'] = ""
animations = full_context.query('DataAssociationExpression', 'Animation')
count = 0
for key, animation in sorted(animations.data.items()):
# Lookup uid
uid = animation_uid_lookup[animation.association.name]
# Name each frame collection
self.fill_dict['Animations'] += "\n\t/*{0}*/ {1}_frames,".format(
uid,
animation.association.name,
)
# Add animation name to list
animation_name = "Animation__{0}".format(
animation.association.name
)
self.fill_dict['AnimationList'] += "\n#define {0} {1}".format(
animation_name,
uid,
)
# Map index to name (json)
animation_id_json[animation.association.name] = uid
# Animation Settings Index JSON entry
animation_entry_json = animation.association.json()
animation_entry_json.update(animation.value.json())
animation_settings_index_json.append(animation_entry_json)
# Generate animation settings string entry
self.fill_dict['AnimationSettings'] += self.animation_settings_entry(
animation.value,
animation_name,
uid,
additional=False,
)
count += 1
self.fill_dict['Animations'] += "\n};"
# Additional Animation Settings
self.fill_dict['AnimationSettings'] += "\n\n\t/* Additional Settings */\n"
while count < len(animation_settings_list):
animation = animation_settings[animation_settings_list[count]]
animation_orig = animation_settings_orig[animation_settings_list[count]]
animation_name = "Animation__{0}".format(
animation.name
)
# Animation Settings JSON entry
animation_settings_json["{}".format(animation_orig)] = count
# Animation Settings Index JSON entry
animation_settings_index_json.append(animation.json())
# Generate animation settings string entry
self.fill_dict['AnimationSettings'] += self.animation_settings_entry(
animation,
animation_name,
count,
additional=True,
)
count += 1
self.fill_dict['AnimationSettings'] += "\n};"
## Animation Frames ##
# TODO - Use reduced_contexts and generate per-layer (naming gets tricky)
# Currently using full_context which is not as configurable
self.fill_dict['AnimationFrames'] = ""
animation_frames = full_context.query('DataAssociationExpression', 'AnimationFrame')
prev_aniframe_name = ""
prev_aniframe = 0
for key, aniframe in sorted(animation_frames.data.items(), key=lambda x: (x[1].association[0].name, x[1].association[0].index)):
aniframeid = aniframe.association[0]
aniframedata = aniframe.value
name = aniframeid.name
# Generate frame-set
if prev_aniframe_name != "" and name != prev_aniframe_name:
self.animation_frameset(prev_aniframe_name, prev_aniframe)
# Reset frame count
prev_aniframe = 0
# Fill in frames if necessary
while aniframeid.index > prev_aniframe + 1:
prev_aniframe += 1
self.fill_dict['AnimationFrames'] += "const uint8_t {0}_frame{1}[] = {{ PixelAddressType_End }};\n\n".format(
name,
prev_aniframe
)
prev_aniframe_name = name
# Address type lookup for frames
# See Macros/PixelMap/pixel.h for list of types
address_type = {
'PixelAddressId_Index': 'PixelAddressType_Index',
'PixelAddressId_Rect': 'PixelAddressType_Rect',
'PixelAddressId_ColumnFill': 'PixelAddressType_ColumnFill',
'PixelAddressId_RowFill': 'PixelAddressType_RowFill',
'PixelAddressId_ScanCode': 'PixelAddressType_ScanCode',
'PixelAddressId_RelativeRect': 'PixelAddressType_RelativeRect',
'PixelAddressId_RelativeColumnFill': 'PixelAddressType_RelativeColumnFill',
'PixelAddressId_RelativeRowFill': 'PixelAddressType_RelativeRowFill',
}
# Frame information
self.fill_dict['AnimationFrames'] += "// {0}".format(
aniframe.kllify()
)
# Generate frame
self.fill_dict['AnimationFrames'] += "\nconst uint8_t {0}_frame{1}[] = {{".format(
name,
aniframeid.index
)
# XXX (HaaTa) This is a bug, but for now this is ok
if len(aniframedata) == 1 and isinstance(aniframedata[0], list):
aniframedata = aniframedata[0]
for elem in aniframedata:
# TODO Determine widths (possibly do checks at an earlier stage to validate)
if isinstance(elem, list):
elem = elem[0]
# Select pixel address type
self.fill_dict['AnimationFrames'] += "\n\t{0},".format(
address_type[elem.uid.inferred_type()]
)
# For each channel select a pixel address
channels = elem.uid.uid_set()
channel_str = "/* UNKNOWN CHANNEL {0} */".format(len(channels))
if len(channels) == 1:
channel_str = " /*{0}*/{1},".format(
channels[0],
",".join(self.byte_split(channels[0], 4))
)
elif len(channels) == 2:
channel_str = ""
for index, ch in enumerate(channels):
value = 0
# Convert to pixelmap position as we defined a percentage
if isinstance(ch, float):
# Calculate percentage of displaymap
if index == 0:
value = (pixel_display_params['Columns'] - 1) * ch
elif index == 1:
value = (pixel_display_params['Rows'] - 1) * ch
value = int(round(value))
# No value, set to 0
elif ch is None:
value = 0
# Otherwise it's an integer
else:
value = int(ch)
channel_str += " /*{0}*/{1},".format(
ch, ",".join(self.byte_split(value, 2)),
)
self.fill_dict['AnimationFrames'] += channel_str
# For each channel, select an operator and value
for pixelmod in elem.modifiers:
# Set operator type
channel_str = " PixelChange_{0},".format(
pixelmod.operator_type()
)
# Set channel value
# TODO Support non-8bit values
channel_str += " {0},".format(pixelmod.value)
self.fill_dict['AnimationFrames'] += channel_str
self.fill_dict['AnimationFrames'] += "\n\tPixelAddressType_End\n};\n\n"
# Set frame number, for next frame evaluation
prev_aniframe = aniframeid.index
# Last frame set
if prev_aniframe_name != "":
self.animation_frameset(prev_aniframe_name, prev_aniframe)
## LED Buffer Struct ##
if 'LED_BufferStruct' in variables.data.keys():
self.fill_dict['LEDBufferStruct'] = variables.data['LED_BufferStruct'].value
else:
self.fill_dict['LEDBufferStruct'] = ""
## ScanCode Physical Positions ##
scancode_physical = full_context.query('DataAssociationExpression', 'ScanCodePosition')
self.fill_dict['KeyPositions'] = "const Position Key_Positions[] = {\n"
for key, item in sorted(scancode_physical.data.items(), key=lambda x: x[1].association[0].get_uid()):
entry = dict()
# Acquire each dimension
entry['x'] = item.association[0].x
entry['y'] = item.association[0].y
entry['z'] = item.association[0].z
entry['rx'] = item.association[0].rx
entry['ry'] = item.association[0].ry
entry['rz'] = item.association[0].rz
# Check each dimension, set to 0 if None
for k in entry.keys():
if entry[k] is None:
entry[k] = 0.0
else:
entry[k] = float(entry[k])
# Generate PositionEntry
self.fill_dict['KeyPositions'] += "\tPositionEntry( {0}, {1}, {2}, {3}, {4}, {5} ), // {6}\n".format(
entry['x'],
entry['y'],
entry['z'],
entry['rx'],
entry['ry'],
entry['rz'],
item,
)
self.fill_dict['KeyPositions'] += "};"
## KLL Defines ##
self.fill_dict['KLLDefines'] = ""
self.fill_dict['KLLDefines'] += "#define CapabilitiesNum_KLL {0}\n".format(len(self.capabilities_index))
self.fill_dict['KLLDefines'] += "#define LayerNum_KLL {0}\n".format(len(reduced_contexts))
self.fill_dict['KLLDefines'] += "#define ResultMacroNum_KLL {0}\n".format(len(result_index))
self.fill_dict['KLLDefines'] += "#define TriggerMacroNum_KLL {0}\n".format(len(trigger_index))
self.fill_dict['KLLDefines'] += "#define MaxScanCode_KLL {0}\n".format(max(max_scan_code))
self.fill_dict['KLLDefines'] += "#define RotationNum_KLL {0}\n".format(max_rotations)
# Only add defines if Pixel Buffer is defined
if self.use_pixel_map:
self.fill_dict['KLLDefines'] += "#define Pixel_BuffersLen_KLL {0}\n".format(bufsize)
self.fill_dict['KLLDefines'] += "#define Pixel_TotalChannels_KLL {0}\n".format(totalchannels)
self.fill_dict['KLLDefines'] += "#define Pixel_TotalPixels_KLL {0}\n".format(totalpixels)
self.fill_dict['KLLDefines'] += "#define Pixel_DisplayMapping_Cols_KLL {0}\n".format(
pixel_display_params['Columns']
)
self.fill_dict['KLLDefines'] += "#define Pixel_DisplayMapping_Rows_KLL {0}\n".format(
pixel_display_params['Rows']
)
self.fill_dict['KLLDefines'] += "#define Pixel_AnimationSettingsNum_KLL {0}\n".format(
len(animation_settings_list)
)
self.fill_dict['KLLDefines'] += "#define AnimationNum_KLL {0}\n".format(len(animations.data))
else:
self.fill_dict['KLLDefines'] += "#define AnimationNum_KLL 0\n"
## Define Validation ##
if 'stateWordSize' in variables.data.keys():
index_uint_t_size = int(variables.data['stateWordSize'].value)
total_index = max(len(trigger_index), len(result_index))
if total_index > 2 ** index_uint_t_size:
print("{} 'stateWordSize = {}' is not large enough! {} > {}".format(
ERROR,
index_uint_t_size,
total_index,
2 ** index_uint_t_size,
))
self.error_exit = True
## Generate USB HID Lookup ##
self.fill_dict['USBCDefineKeyboardMapping'] = ''
for pair in self.usb_c_defines[0]:
self.fill_dict['USBCDefineKeyboardMapping'] += "#define {} {}\n".format(*pair)
self.fill_dict['USBCDefineLEDMapping'] = ''
for pair in self.usb_c_defines[1]:
self.fill_dict['USBCDefineLEDMapping'] += "#define {} {}\n".format(*pair)
self.fill_dict['USBCDefineSystemControlMapping'] = ''
for pair in self.usb_c_defines[2]:
self.fill_dict['USBCDefineSystemControlMapping'] += "#define {} {}\n".format(*pair)
self.fill_dict['USBCDefineConsumerControlMapping'] = ''
for pair in self.usb_c_defines[3]:
self.fill_dict['USBCDefineConsumerControlMapping'] += "#define {} {}\n".format(*pair)
## Finish up JSON datastructures
# TODO Testing
# - Run trigger
# 1) Validate result (will need infra per capability)
# 2) Hook into animation testing?
# - Trigger Types
# 1) Switch
# 2) HID LED
# 3) Layer
# 4) Animation
# 5) Analog
self.json_dict['AnimationIds'] = animation_id_json
self.json_dict['AnimationSettings'] = animation_settings_json
self.json_dict['AnimationSettingsIndex'] = animation_settings_index_json
self.json_dict['PixelIds'] = pixel_id_json
self.json_dict['ScanCodes'] = scancode_json
self.json_dict['Capabilities'] = capabilities_json
self.json_dict['Defines'] = defines_json
self.json_dict['Layers'] = layers_json
self.json_dict['CodeLookup'] = self.code_to_capability
PK RKM kll/emitters/kll/__init__.pyPK RKM kll/emitters/kll/kll.py#!/usr/bin/env python3
'''
Re-Emits KLL files after processing. May do simplification.
'''
# Copyright (C) 2016-2018 by Jacob Alexander
#
# This file is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This file is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this file. If not, see '
raise NoParseError('%s: %s' % (e.msg, tok), e.state, tok)
def __add__(self, other):
"""Parser(a, b), Parser(a, c) -> Parser(a, _Tuple(b, c))
A sequential composition of parsers.
NOTE: The real type of the parsed value isn't always such as specified.
Here we use dynamic typing for ignoring the tokens that are of no
interest to the user. Also we merge parsing results into a single _Tuple
unless the user explicitely prevents it. See also skip and >>
combinators.
"""
def magic(v1, v2):
vs = [v for v in [v1, v2] if not isinstance(v, _Ignored)]
if len(vs) == 1:
return vs[0]
elif len(vs) == 2:
if isinstance(vs[0], _Tuple):
return _Tuple(v1 + (v2,))
else:
return _Tuple(vs)
else:
return _Ignored(())
@Parser
def _add(tokens, s):
(v1, s2) = self.run(tokens, s)
(v2, s3) = other.run(tokens, s2)
return magic(v1, v2), s3
# or in terms of bind and pure:
# _add = self.bind(lambda x: other.bind(lambda y: pure(magic(x, y))))
_add.name = '(%s , %s)' % (self.name, other.name)
return _add
def __or__(self, other):
"""Parser(a, b), Parser(a, c) -> Parser(a, b or c)
A choice composition of two parsers.
NOTE: Here we are not providing the exact type of the result. In a
statically typed langage something like Either b c could be used. See
also + combinator.
"""
@Parser
def _or(tokens, s):
try:
return self.run(tokens, s)
except NoParseError as e:
return other.run(tokens, State(s.pos, e.state.max))
_or.name = '(%s | %s)' % (self.name, other.name)
return _or
def __rshift__(self, f):
"""Parser(a, b), (b -> c) -> Parser(a, c)
Given a function from b to c, transforms a parser of b into a parser of
c. It is useful for transorming a parser value into another value for
making it a part of a parse tree or an AST.
This combinator may be thought of as a functor from b -> c to Parser(a,
b) -> Parser(a, c).
"""
@Parser
def _shift(tokens, s):
(v, s2) = self.run(tokens, s)
return f(v), s2
# or in terms of bind and pure:
# _shift = self.bind(lambda x: pure(f(x)))
_shift.name = '(%s)' % (self.name,)
return _shift
def bind(self, f):
"""Parser(a, b), (b -> Parser(a, c)) -> Parser(a, c)
NOTE: A monadic bind function. It is used internally to implement other
combinators. Functions bind and pure make the Parser a Monad.
"""
@Parser
def _bind(tokens, s):
(v, s2) = self.run(tokens, s)
return f(v).run(tokens, s2)
_bind.name = '(%s >>=)' % (self.name,)
return _bind
class State(object):
"""A parsing state that is maintained basically for error reporting.
It consists of the current position pos in the sequence being parsed and
the position max of the rightmost token that has been consumed while
parsing.
"""
def __init__(self, pos=0, max=0):
self.pos = pos
self.max = max
def __str__(self):
return str((self.pos, self.max))
def __repr__(self):
return 'State(%r, %r)' % (self.pos, self.max)
class NoParseError(Exception):
def __init__(self, msg='', state=None, token=None):
self.msg = msg
self.state = state
self.token = token # Next token
def __str__(self):
return self.msg
class _Tuple(tuple):
pass
class _Ignored(object):
def __init__(self, value):
self.value = value
def __repr__(self):
return '_Ignored(%s)' % repr(self.value)
@Parser
def finished(tokens, s):
"""Parser(a, None)
Throws an exception if any tokens are left in the input unparsed.
"""
if s.pos >= len(tokens):
return None, s
else:
raise NoParseError('should have reached ', s, tokens[s.pos])
finished.name = 'finished'
def many(p):
"""Parser(a, b) -> Parser(a, [b])
Returns a parser that infinitely applies the parser p to the input sequence
of tokens while it successfully parsers them. The resulting parser returns a
list of parsed values.
"""
@Parser
def _many(tokens, s):
"""Iterative implementation preventing the stack overflow."""
res = []
try:
while True:
(v, s) = p.run(tokens, s)
res.append(v)
except NoParseError as e:
return res, State(s.pos, e.state.max)
_many.name = '{ %s }' % p.name
return _many
def some(pred):
"""(a -> bool) -> Parser(a, a)
Returns a parser that parses a token if it satisfies a predicate pred.
"""
@Parser
def _some(tokens, s):
if s.pos >= len(tokens):
raise NoParseError('no tokens left in the stream', s)
else:
t = tokens[s.pos]
if pred(t):
pos = s.pos + 1
s2 = State(pos, max(pos, s.max))
if debug:
log.debug('*matched* "%s", new state = %s' % (t, s2))
return t, s2
else:
if debug:
log.debug('failed "%s", state = %s' % (t, s))
raise NoParseError('got unexpected token', s, t)
_some.name = '(some)'
return _some
def a(value):
"""Eq(a) -> Parser(a, a)
Returns a parser that parses a token that is equal to the value value.
"""
name = getattr(value, 'name', value)
return some(lambda t: t == value).named('(a "%s")' % (name,))
def pure(x):
@Parser
def _pure(_, s):
return x, s
_pure.name = '(pure %r)' % (x,)
return _pure
def maybe(p):
"""Parser(a, b) -> Parser(a, b or None)
Returns a parser that retuns None if parsing fails.
NOTE: In a statically typed language, the type Maybe b could be more
approprieate.
"""
return (p | pure(None)).named('[ %s ]' % (p.name,))
def skip(p):
"""Parser(a, b) -> Parser(a, _Ignored(b))
Returns a parser which results are ignored by the combinator +. It is useful
for throwing away elements of concrete syntax (e. g. ",", ";").
"""
return p >> _Ignored
def oneplus(p):
"""Parser(a, b) -> Parser(a, [b])
Returns a parser that applies the parser p one or more times.
"""
q = p + many(p) >> (lambda x: [x[0]] + x[1])
return q.named('(%s , { %s })' % (p.name, p.name))
def with_forward_decls(suspension):
"""(None -> Parser(a, b)) -> Parser(a, b)
Returns a parser that computes itself lazily as a result of the suspension
provided. It is needed when some parsers contain forward references to
parsers defined later and such references are cyclic. See examples for more
details.
"""
@Parser
def f(tokens, s):
return suspension().run(tokens, s)
return f
def forward_decl():
"""None -> Parser(?, ?)
Returns an undefined parser that can be used as a forward declaration. You
will be able to define() it when all the parsers it depends on are
available.
"""
@Parser
def f(tokens, s):
raise NotImplementedError('you must define() a forward_decl somewhere')
return f
if __name__ == '__main__':
import doctest
doctest.testmod()
PK RKMn| kll/extern/funcparserlib/util.py# -*- coding: utf-8 -*-
# Copyright (c) 2008/2013 Andrey Vlasovskikh
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
def pretty_tree(x, kids, show):
"""(a, (a -> list(a)), (a -> str)) -> str
Returns a pseudographic tree representation of x similar to the tree command
in Unix.
"""
(MID, END, CONT, LAST, ROOT) = ('|-- ', '`-- ', '| ', ' ', '')
def rec(x, indent, sym):
line = indent + sym + show(x)
xs = kids(x)
if len(xs) == 0:
return line
else:
if sym == MID:
next_indent = indent + CONT
elif sym == ROOT:
next_indent = indent + ROOT
else:
next_indent = indent + LAST
syms = [MID] * (len(xs) - 1) + [END]
lines = [rec(x, next_indent, sym) for x, sym in zip(xs, syms)]
return '\n'.join([line] + lines)
return rec(x, '', ROOT)
PK RKMc" $ kll/layouts/KType-NoAnimations-0.kllVariant = "standard";
Generator = "NONE";
Base = "Base";
Date = "2017-10-13";
KLL = "0.5c";
Author = "jbondeson (Jeremy Bondeson) 2017";
Version = "0.2";
Name = "KType";
Layout = "NoAnimations";
ResultMacroBufferSize = "100";
Pixel_AnimationStackSize = "50";
DelayedCapabilitiesStackSize = "25";
U"ESC" : U"ESC";
U"F1" : U"F1";
U"F2" : U"F2";
U"F3" : U"F3";
U"F4" : U"F4";
U"F5" : U"F5";
U"F6" : U"F6";
U"F7" : U"F7";
U"F8" : U"F8";
U"F9" : U"F9";
U"F10" : U"F10";
U"F11" : U"F11";
U"F12" : U"F12";
U"PRINTSCREEN" : U"PRINTSCREEN";
U"SCROLLLOCK" : U"SCROLLLOCK";
U"PAUSE" : U"PAUSE";
U"BACKTICK" : U"`";
U"1" : U"1";
U"2" : U"2";
U"3" : U"3";
U"4" : U"4";
U"5" : U"5";
U"6" : U"6";
U"7" : U"7";
U"8" : U"8";
U"9" : U"9";
U"0" : U"0";
U"MINUS" : U"-";
U"EQUALS" : U"=";
U"BACKSPACE" : U"\";
U"INSERT" : U"INSERT";
U"HOME" : U"HOME";
U"PAGEUP" : U"PAGEUP";
U"TAB" : U"TAB";
U"Q" : U"Q";
U"W" : U"W";
U"E" : U"E";
U"R" : U"R";
U"T" : U"T";
U"Y" : U"Y";
U"U" : U"U";
U"I" : U"I";
U"O" : U"O";
U"P" : U"P";
U"LBRACE" : U"[";
U"RBRACE" : U"]";
U"BACKSLASH" : U"BACKSPACE";
U"DELETE" : U"DELETE";
U"END" : U"END";
U"PAGEDOWN" : U"PAGEDOWN";
U"CAPSLOCK" : U"LCTRL";
U"A" : U"A";
U"S" : U"S";
U"D" : U"D";
U"F" : U"F";
U"G" : U"G";
U"H" : U"H";
U"J" : U"J";
U"K" : U"K";
U"L" : U"L";
U"SEMICOLON" : U";";
U"QUOTE" : U"'";
U"ENTER" : U"ENTER";
U"LSHIFT" : U"LSHIFT";
U"Z" : U"Z";
U"X" : U"X";
U"C" : U"C";
U"V" : U"V";
U"B" : U"B";
U"N" : U"N";
U"M" : U"M";
U"COMMA" : U",";
U"PERIOD" : U".";
U"SLASH" : U"/";
U"RSHIFT" : U"RSHIFT";
U"UP" : U"UP";
U"LCTRL" : U"LCTRL";
U"LGUI" : U"LGUI";
U"LALT" : U"LALT";
U"SPACE" : U"SPACE";
U"RALT" : U"RALT";
U"RGUI" : U"FUNCTION1";
U"APP" : U"APP";
U"RCTRL" : U"RCTRL";
U"LEFT" : U"LEFT";
U"DOWN" : U"DOWN";
U"RIGHT" : U"RIGHT";
S[0x00-0x5F] :+ A[countdown2m](start);
### Added by canned animation fingerprints_two_tone ###
S[0x00-0x5F] :+ A[fingerprints_two_tone](start);
A[countdown2m] <= replace:all, pfunc:interp,framestretch,framedelay:254, loops:1;
### AUTO GENERATED - DO NOT EDIT ###
A[countdown2m, 1] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 2] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 3] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 4] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 5] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 6] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 7] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 8] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 9] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 10] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 11] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 12] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 13] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 14] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 15] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 16] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 17] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 18] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 19] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 20] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 21] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 22] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 23] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 24] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 25] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 26] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 27] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 28] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 29] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 30] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 31] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 32] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 33] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 34] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 35] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 36] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 37] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 38] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 39] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 40] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 41] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 42] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 43] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 44] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 45] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 46] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 47] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[countdown2m, 48] <= P[c:0%](0,0,0), P[c:100%](0,0,0);
A[fingerprints_two_tone] <= framedelay:8, framestretch, loops:1, replace:basic;
### AUTO GENERATED - DO NOT EDIT ###
A[fingerprints_two_tone, 1] <= P[r:i,c:i](255,0,0);
A[fingerprints_two_tone, 2] <= P[r:i,c:i](255,0,0);
A[fingerprints_two_tone, 3] <= P[r:i,c:i](255,0,0);
A[fingerprints_two_tone, 4] <= P[r:i,c:i](255,0,0);
A[fingerprints_two_tone, 5] <= P[r:i,c:i](255,115,82);
A[fingerprints_two_tone, 6] <= P[r:i,c:i](255,178,153);
A[fingerprints_two_tone, 7] <= P[r:i,c:i](255,207,191);
A[fingerprints_two_tone, 8] <= P[r:i,c:i](255,217,203);
A[fingerprints_two_tone, 9] <= P[r:i,c:i](255,226,216);
A[fingerprints_two_tone, 10] <= P[r:i,c:i](255,236,229);
A[fingerprints_two_tone, 11] <= P[r:i,c:i](255,245,242);
A[fingerprints_two_tone, 12] <= P[r:i,c:i](255,255,255);
PK RKM-_+ + kll/layouts/Rapoo_E9070_Fn.kllName = "Rapoo E9070 Fn";
Version = 0.1;
Author = "nazar-pc (Nazar Mokrynskyi) 2017";
KLL = 0.3d;
# Modified Date
Date = 2017-05-11;
U"F1" : CONS"Back";
U"F2" : CONS"Forward";
U"F3" : CONS"Home";
U"F4" : CONS"EmailReader";
U"F5" : CONS"ConsumerControlConfig";
U"F6" : CONS"PausePlay";
U"F7" : CONS"Stop";
U"F8" : CONS"ScanPreviousTrack";
U"F9" : CONS"ScanNextTrack";
U"F10" : U"VolumeDown";
U"F11" : U"VolumeUp";
U"F12" : U"Mute";
U"Insert" : U"ScrollLock";
U"Left" : U"Home";
U"Up" : U"PageUp";
U"Down" : U"PageDown";
U"Right" : U"End";
PK RKMd!0 kll/layouts/animation_test.kll# Animation Example Configuration
Name = Animation Example;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2017-2018";
KLL = 0.5;
# Modified Date
Date = 2018-02-28;
### Animations ###
# Pixel index 1 test
A[testanimation] <= loops:1;
A[testanimation, 1] <= P[1](30,70,120);
A[testanimation, 2] <= P[1](0,0,0);
A[testanimation, 3] <= P[1](60,90,140);
# Pixel clear test (scancodes)
A[clear_pixels] <= loops:1;
A[clear_pixels, 1] <=
S[18](0,0,0),
S[19](0,0,0),
S[20](0,0,0),
S[29](0,0,0),
S[38](0,0,0);
# Rainbow, static interpolation test
A[rainbow_static_fill_interp] <= pfunc:interp;
A[rainbow_static_fill_interp, 1] <=
P[c:0%](255,0,0),
P[c:25%](255,255,0),
P[c:50%](0,255,0),
P[c:75%](0,0,255),
P[c:100%](127,0,255);
# Full fill example
A[blue_fill_interp] <= pfunc:interp;
A[blue_fill_interp, 1] <=
P[c:0%](0x00,0xAE,0xDA),
P[c:100%](0x00,0xAE,0xDA);
# Fade-in example
# TODO - Use frame interpolation when ready
A[fade_in] <= pfunc:interp, loops:1, replace:basic;
A[fade_in, 1] <= P[c:0%](0,0,0), P[c:100%](0,0,0);
A[fade_in, 2] <= P[c:0%](5,5,5), P[c:100%](5,5,5);
A[fade_in, 3] <= P[c:0%](10,10,10), P[c:100%](10,10,10);
A[fade_in, 4] <= P[c:0%](20,20,20), P[c:100%](20,20,20);
A[fade_in, 5] <= P[c:0%](40,40,40), P[c:100%](40,40,40);
A[fade_in, 6] <= P[c:0%](60,60,60), P[c:100%](60,60,60);
A[fade_in, 7] <= P[c:0%](80,80,80), P[c:100%](80,80,80);
A[fade_in, 8] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
A[fade_in, 9] <= P[c:0%](130,130,130), P[c:100%](130,130,130);
A[fade_in, 10] <= P[c:0%](160,160,160), P[c:100%](160,160,160);
A[fade_in, 11] <= P[c:0%](190,190,190), P[c:100%](190,190,190);
A[fade_in, 12] <= P[c:0%](220,220,220), P[c:100%](220,220,220);
A[fade_in, 13] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[fade_in, 14] <= P[c:0%](200,200,200), P[c:100%](200,200,200);
A[fade_in, 15] <= P[c:0%](200,200,200), P[c:100%](200,200,200);
A[fade_in, 16] <= P[c:0%](200,200,200), P[c:100%](200,200,200);
A[fade_in, 17] <= P[c:0%](150,150,150), P[c:100%](150,150,150);
A[fade_in, 18] <= P[c:0%](150,150,150), P[c:100%](150,150,150);
A[fade_in, 19] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
A[fade_in, 20] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
A[fade_in, 21] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
A[fade_in, 22] <= P[c:0%](75,75,75), P[c:75%](75,75,75);
A[fade_in, 23] <= P[c:0%](75,75,75), P[c:75%](75,75,75);
A[fade_in, 24] <= P[c:0%](75,75,75), P[c:75%](75,75,75);
A[fade_in, 25] <= P[c:0%](50,50,50), P[c:50%](50,50,50);
A[fade_in, 26] <= P[c:0%](50,50,50), P[c:50%](50,50,50);
A[fade_in, 27] <= P[c:0%](50,50,50), P[c:50%](50,50,50);
#A[fade_in, 22] <= P[c:0%](0,100,0), P[c:25%](100,100,0), P[c:50%](100,0,0), P[c:75%](75,0,100), P[c:100%](0,0,100);
#A[fade_in, 23] <= P[c:0%](0,200,0), P[c:25%](200,200,0), P[c:50%](200,0,0), P[c:75%](120,0,200), P[c:100%](0,0,200);
#A[fade_in, 24] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
# Rainbow Animation example
A[rainbow_fill_interp] <= loop, framestretch, framedelay:1, replace:basic, pfunc:interp;
A[rainbow_fill_interp, 1] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_fill_interp, 1] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255);
A[rainbow_fill_interp, 2] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_fill_interp, 2] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255);
A[rainbow_fill_interp, 3] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_fill_interp, 3] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255);
A[rainbow_fill_interp, 4] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_fill_interp, 4] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255);
#A[rainbow_fill_interp, 4] <= P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 5] <= P[c:0%](255,0,0), P[c:33%](255,255,0), P[c:58%](0,255,0), P[c:83%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 6] <= P[c:0%](255,0,0), P[c:35%](255,255,0), P[c:60%](0,255,0), P[c:85%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 7] <= P[c:0%](255,0,0), P[c:37%](255,255,0), P[c:62%](0,255,0), P[c:87%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 8] <= P[c:0%](255,0,0), P[c:39%](255,255,0), P[c:64%](0,255,0), P[c:89%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 9] <= P[c:0%](255,0,0), P[c:41%](255,255,0), P[c:66%](0,255,0), P[c:91%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 10] <= P[c:0%](255,0,0), P[c:43%](255,255,0), P[c:68%](0,255,0), P[c:93%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 11] <= P[c:0%](255,0,0), P[c:45%](255,255,0), P[c:70%](0,255,0), P[c:95%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 12] <= P[c:0%](255,0,0), P[c:47%](255,255,0), P[c:72%](0,255,0), P[c:97%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 13] <= P[c:0%](255,0,0), P[c:45%](255,255,0), P[c:70%](0,255,0), P[c:95%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 14] <= P[c:0%](255,0,0), P[c:43%](255,255,0), P[c:68%](0,255,0), P[c:93%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 15] <= P[c:0%](255,0,0), P[c:41%](255,255,0), P[c:66%](0,255,0), P[c:91%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 16] <= P[c:0%](255,0,0), P[c:39%](255,255,0), P[c:64%](0,255,0), P[c:89%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 17] <= P[c:0%](255,0,0), P[c:37%](255,255,0), P[c:62%](0,255,0), P[c:87%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 18] <= P[c:0%](255,0,0), P[c:35%](255,255,0), P[c:60%](0,255,0), P[c:85%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 19] <= P[c:0%](255,0,0), P[c:33%](255,255,0), P[c:58%](0,255,0), P[c:83%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 20] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 21] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 22] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 23] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 24] <= P[c:0%](255,0,0), P[c:23%](255,255,0), P[c:47%](0,255,0), P[c:73%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 25] <= P[c:0%](255,0,0), P[c:21%](255,255,0), P[c:44%](0,255,0), P[c:71%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 26] <= P[c:0%](255,0,0), P[c:19%](255,255,0), P[c:41%](0,255,0), P[c:69%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 27] <= P[c:0%](255,0,0), P[c:17%](255,255,0), P[c:38%](0,255,0), P[c:67%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 28] <= P[c:0%](255,0,0), P[c:15%](255,255,0), P[c:35%](0,255,0), P[c:65%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 29] <= P[c:0%](255,0,0), P[c:13%](255,255,0), P[c:33%](0,255,0), P[c:63%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 30] <= P[c:0%](255,0,0), P[c:11%](255,255,0), P[c:30%](0,255,0), P[c:61%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 31] <= P[c:0%](255,0,0), P[c:9%](255,255,0), P[c:27%](0,255,0), P[c:59%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 32] <= P[c:0%](255,0,0), P[c:7%](255,255,0), P[c:24%](0,255,0), P[c:57%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 33] <= P[c:0%](255,0,0), P[c:5%](255,255,0), P[c:21%](0,255,0), P[c:55%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 34] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 35] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 36] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 37] <= P[c:0%](255,0,0), P[c:10%](255,255,0), P[c:20%](0,255,0), P[c:60%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 38] <= P[c:0%](255,0,0), P[c:20%](255,255,0), P[c:40%](0,255,0), P[c:70%](0,0,255), P[c:100%](127,0,255);
A[rainbow_fill_interp, 39] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_fill_interp, 40] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
# Rainbow Top Row
A[rainbow_static_fill_interp_top_row] <= pfunc:interp;
A[rainbow_static_fill_interp_top_row, 1] <= P[c:0%,r:1](255,0,0), P[c:25%,r:1](255,255,0), P[c:50%,r:1](0,255,0), P[c:75%,r:1](0,0,255), P[c:100%,r:1](127,0,255);
# Fade-out example
# TODO - Use frame interpolation when ready
A[fade_out] <= pfunc:interp;
A[fade_out, 16] <= P[c:0%](0,0,0), P[c:100%](0,0,0);
A[fade_out, 15] <= P[c:0%](5,5,5), P[c:100%](5,5,5);
A[fade_out, 14] <= P[c:0%](10,10,10), P[c:100%](10,10,10);
A[fade_out, 13] <= P[c:0%](20,20,20), P[c:100%](20,20,20);
A[fade_out, 12] <= P[c:0%](40,40,40), P[c:100%](40,40,40);
A[fade_out, 11] <= P[c:0%](60,60,60), P[c:100%](60,60,60);
A[fade_out, 10] <= P[c:0%](80,80,80), P[c:100%](80,80,80);
A[fade_out, 9] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
A[fade_out, 8] <= P[c:0%](130,130,130), P[c:100%](130,130,130);
A[fade_out, 7] <= P[c:0%](160,160,160), P[c:100%](160,160,160);
A[fade_out, 6] <= P[c:0%](190,190,190), P[c:100%](190,190,190);
A[fade_out, 5] <= P[c:0%](220,220,220), P[c:100%](220,220,220);
A[fade_out, 4] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
A[fade_out, 3] <= P[c:0%](200,200,200), P[c:100%](200,200,200);
A[fade_out, 2] <= P[c:0%](150,150,150), P[c:100%](150,150,150);
A[fade_out, 1] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
U"Right" :+ A[relative_add](start);
U"ScrollLock" :+ A[relative_add](start);
U"Insert" :+ A[fade_in](start);
# Relative animation test
A[relative_add] <= replace:basic, loops:2, framedelay:1;
A[relative_add, 1] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 2] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 3] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 4] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 5] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 6] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 7] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 8] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 9] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 10] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 11] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 12] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 13] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 14] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 15] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 16] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 17] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 18] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 19] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 20] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
#A[relative_add, 21] <= P[r:i,c:i](50,50,50);
#A[relative_add, 2] <= P[c:i](+100,+100,+100);
#A[relative_add, 3] <= P[r:i,c:i](+100,+100,+100);
# TODO Move to U"CapsLock" when working
A[caps_lock] <= loop, replace:all;
A[caps_lock, 1] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 2] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 3] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 4] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 5] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 6] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 7] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 5] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 6] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 8] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 9] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 10] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 11] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 12] <= S[0x36](-:20,-:20,-:20);
A[fade, 1] <= P[c:0%](+:1,+:1,+:1), P[c:100%](+:1,+:1,+:1);
A[spot_up] <= loops:30;
A[spot_up, 1] <=
P[r:i, c:i ](+:2,+:2,+:2),
P[r:i+1,c:i ](-:1,-:1,-:1),
P[r:i-1,c:i ](-:1,-:1,-:1),
P[r:i, c:i+1](-:1,-:1,-:1),
P[r:i, c:i-1](-:1,-:1,-:1),
P[r:i+1,c:i+1](-:1,-:1,-:1),
P[r:i-1,c:i+1](-:1,-:1,-:1),
P[r:i+1,c:i-1](-:1,-:1,-:1),
P[r:i-1,c:i-1](-:1,-:1,-:1),
P[r:i+2,c:i ](-:1,-:1,-:1),
P[r:i-2,c:i ](-:1,-:1,-:1),
P[r:i, c:i+2](-:1,-:1,-:1),
P[r:i, c:i-2](-:1,-:1,-:1);
#U[0x03-0x52,0xE0-0xE7] :+ A[spot_up];
# TODO Move to U"ScrollLock" when working
A[scroll_lock] <= loop, replace:all;
A[scroll_lock, 1] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 2] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 3] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 4] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 5] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 6] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 7] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 5] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 6] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 8] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 9] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 10] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 11] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 12] <= S[0xF](-:20,-:20,-:20);
# Lock Keys
A[lock_event] <= loops:1, replace:all, framedelay:1, replace:basic;
A[lock_event, 1] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 2] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 3] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 4] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 5] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 6] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 7] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 8] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 9] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 10] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 11] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 12] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 13] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 14] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 15] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 16] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 17] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 18] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 19] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 20] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 21] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 22] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 23] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 24] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 25] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 26] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 27] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 28] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 29] <= P[r:i,c:i](-:10,-:10,-:10);
U"RCtrl" :+ layerLock(1);
U"App" :+ layerLock(2);
# Underlighting streak
A[under_streak] <= loops:1, replace:stack;
A[under_streak, 1] <=
P[102](+:91,+:50,+:86),
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:100,-:100,-:100);
A[under_streak, 2] <=
P[101](+:91,+:50,+:86),
P[102](+:255,+:255,+:255),
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:100,-:100,-:100);
A[under_streak, 3] <=
P[100](+:91,+:50,+:86),
P[101](+:255,+:255,+:255),
P[102](-:55,-:100,-:100),
P[103](-:100,-:100,-:100),
P[104](-:100,-:100,-:100);
A[under_streak, 4] <=
P[99](+:91,+:50,+:86),
P[100](+:255,+:255,+:255),
P[101](-:55,-:100,-:100),
P[102](-:100,-:100,-:100),
P[103](-:100,-:100,-:100);
A[under_streak, 5] <=
P[98](+:91,+:50,+:86),
P[99](+:255,+:255,+:255),
P[100](-:55,-:100,-:100),
P[101](-:100,-:100,-:100),
P[102](-:100,-:100,-:100);
A[under_streak, 6] <=
P[97](+:91,+:50,+:86),
P[98](+:255,+:255,+:255),
P[99](-:55,-:100,-:100),
P[100](-:100,-:100,-:100),
P[101](-:100,-:100,-:100);
A[under_streak, 7] <=
P[128](+:91,+:50,+:86),
P[97](+:255,+:255,+:255),
P[98](-:55,-:100,-:100),
P[99](-:100,-:100,-:100),
P[100](-:100,-:100,-:100);
A[under_streak, 8] <=
P[127](+:91,+:50,+:86),
P[128](+:255,+:255,+:255),
P[97](-:55,-:100,-:100),
P[98](-:100,-:100,-:100),
P[99](-:100,-:100,-:100);
A[under_streak, 9] <=
P[126](+:91,+:50,+:86),
P[127](+:255,+:255,+:255),
P[128](-:55,-:100,-:100),
P[97](-:100,-:100,-:100),
P[98](-:100,-:100,-:100);
A[under_streak, 10] <=
P[125](+:91,+:50,+:86),
P[126](+:255,+:255,+:255),
P[127](-:55,-:100,-:100),
P[128](-:100,-:100,-:100),
P[97](-:100,-:100,-:100);
A[under_streak, 11] <=
P[124](+:91,+:50,+:86),
P[125](+:255,+:255,+:255),
P[126](-:55,-:100,-:100),
P[127](-:100,-:100,-:100),
P[128](-:100,-:100,-:100);
A[under_streak, 12] <=
P[123](+:91,+:50,+:86),
P[124](+:255,+:255,+:255),
P[125](-:55,-:100,-:100),
P[126](-:100,-:100,-:100),
P[127](-:100,-:100,-:100);
A[under_streak, 13] <=
P[122](+:91,+:50,+:86),
P[123](+:255,+:255,+:255),
P[124](-:55,-:100,-:100),
P[125](-:100,-:100,-:100),
P[126](-:100,-:100,-:100);
A[under_streak, 14] <=
P[121](+:91,+:50,+:86),
P[122](+:255,+:255,+:255),
P[123](-:55,-:100,-:100),
P[124](-:100,-:100,-:100),
P[125](-:100,-:100,-:100);
A[under_streak, 15] <=
P[120](+:91,+:50,+:86),
P[121](+:255,+:255,+:255),
P[122](-:55,-:100,-:100),
P[123](-:100,-:100,-:100),
P[124](-:100,-:100,-:100);
A[under_streak, 16] <=
P[119](+:91,+:50,+:86),
P[120](+:255,+:255,+:255),
P[121](-:55,-:100,-:100),
P[122](-:100,-:100,-:100),
P[123](-:100,-:100,-:100);
A[under_streak, 17] <=
P[118](+:91,+:50,+:86),
P[119](+:255,+:255,+:255),
P[120](-:55,-:100,-:100),
P[121](-:100,-:100,-:100),
P[122](-:100,-:100,-:100);
A[under_streak, 18] <=
P[117](+:91,+:50,+:86),
P[118](+:255,+:255,+:255),
P[119](-:55,-:100,-:100),
P[120](-:100,-:100,-:100),
P[121](-:100,-:100,-:100);
A[under_streak, 19] <=
P[116](+:91,+:50,+:86),
P[117](+:255,+:255,+:255),
P[118](-:55,-:100,-:100),
P[119](-:100,-:100,-:100),
P[120](-:100,-:100,-:100);
A[under_streak, 20] <=
P[115](+:91,+:50,+:86),
P[116](+:255,+:255,+:255),
P[117](-:55,-:100,-:100),
P[118](-:100,-:100,-:100),
P[119](-:100,-:100,-:100);
A[under_streak, 21] <=
P[114](+:91,+:50,+:86),
P[115](+:255,+:255,+:255),
P[116](-:55,-:100,-:100),
P[117](-:100,-:100,-:100),
P[118](-:100,-:100,-:100);
A[under_streak, 22] <=
P[113](+:91,+:50,+:86),
P[114](+:255,+:255,+:255),
P[115](-:55,-:100,-:100),
P[116](-:100,-:100,-:100),
P[117](-:100,-:100,-:100);
A[under_streak, 23] <=
P[112](+:91,+:50,+:86),
P[113](+:255,+:255,+:255),
P[114](-:55,-:100,-:100),
P[115](-:100,-:100,-:100),
P[116](-:100,-:100,-:100);
A[under_streak, 24] <=
P[111](+:91,+:50,+:86),
P[112](+:255,+:255,+:255),
P[113](-:55,-:100,-:100),
P[114](-:100,-:100,-:100),
P[115](-:100,-:100,-:100);
A[under_streak, 25] <=
P[110](+:91,+:50,+:86),
P[111](+:255,+:255,+:255),
P[112](-:55,-:100,-:100),
P[113](-:100,-:100,-:100),
P[114](-:100,-:100,-:100);
A[under_streak, 26] <=
P[109](+:91,+:50,+:86),
P[110](+:255,+:255,+:255),
P[111](-:55,-:100,-:100),
P[112](-:100,-:100,-:100),
P[113](-:100,-:100,-:100);
A[under_streak, 27] <=
P[108](+:91,+:50,+:86),
P[109](+:255,+:255,+:255),
P[110](-:55,-:100,-:100),
P[111](-:100,-:100,-:100),
P[112](-:100,-:100,-:100);
A[under_streak, 28] <=
P[107](+:91,+:50,+:86),
P[108](+:255,+:255,+:255),
P[109](-:55,-:100,-:100),
P[110](-:100,-:100,-:100),
P[111](-:100,-:100,-:100);
A[under_streak, 29] <=
P[106](+:91,+:50,+:86),
P[107](+:255,+:255,+:255),
P[108](-:55,-:100,-:100),
P[109](-:100,-:100,-:100),
P[110](-:100,-:100,-:100);
A[under_streak, 30] <=
P[105](+:91,+:50,+:86),
P[106](+:255,+:255,+:255),
P[107](-:55,-:100,-:100),
P[108](-:100,-:100,-:100),
P[109](-:100,-:100,-:100);
A[under_streak, 31] <=
P[104](+:91,+:50,+:86),
P[105](+:255,+:255,+:255),
P[106](-:55,-:100,-:100),
P[107](-:100,-:100,-:100),
P[108](-:100,-:100,-:100);
A[under_streak, 32] <=
P[103](+:91,+:50,+:86),
P[104](+:255,+:255,+:255),
P[105](-:55,-:100,-:100),
P[106](-:100,-:100,-:100),
P[107](-:100,-:100,-:100);
# Fade-out
A[under_streak, 33] <=
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:200,-:200,-:200);
A[under_streak, 33] <=
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:200,-:200,-:200);
A[under_streak, 34] <=
P[103](-:100,-:100,-:100),
P[104](-:200,-:200,-:200);
A[under_streak, 35] <=
P[103](-:200,-:200,-:200);
A[under_streak, 36] <=
P[106](0,0,0);
# Rainbow wave
A[rainbow_wave] <= framedelay:0x3, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wave, 2] <= P[c:-24%](127,0,255), P[c:2%] (255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255), P[c:102%](127,0,255);
A[rainbow_wave, 3] <= P[c:-22%](127,0,255), P[c:4%] (255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255), P[c:104%](127,0,255);
A[rainbow_wave, 4] <= P[c:-20%](127,0,255), P[c:6%] (255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:106%](127,0,255);
A[rainbow_wave, 5] <= P[c:-18%](127,0,255), P[c:8%] (255,0,0), P[c:33%](255,255,0), P[c:58%](0,255,0), P[c:83%](0,0,255), P[c:108%](127,0,255);
A[rainbow_wave, 6] <= P[c:-16%](127,0,255), P[c:10%](255,0,0), P[c:35%](255,255,0), P[c:60%](0,255,0), P[c:85%](0,0,255), P[c:110%](127,0,255);
A[rainbow_wave, 7] <= P[c:-14%](127,0,255), P[c:12%](255,0,0), P[c:37%](255,255,0), P[c:62%](0,255,0), P[c:87%](0,0,255), P[c:112%](127,0,255);
A[rainbow_wave, 8] <= P[c:-12%](127,0,255), P[c:14%](255,0,0), P[c:39%](255,255,0), P[c:64%](0,255,0), P[c:89%](0,0,255), P[c:114%](127,0,255);
A[rainbow_wave, 9] <= P[c:-10%](127,0,255), P[c:16%](255,0,0), P[c:41%](255,255,0), P[c:66%](0,255,0), P[c:91%](0,0,255), P[c:116%](127,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (127,0,255), P[c:18%](255,0,0), P[c:43%](255,255,0), P[c:68%](0,255,0), P[c:93%](0,0,255), P[c:118%](127,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (127,0,255), P[c:20%](255,0,0), P[c:45%](255,255,0), P[c:70%](0,255,0), P[c:95%](0,0,255), P[c:120%](127,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (127,0,255), P[c:22%](255,0,0), P[c:47%](255,255,0), P[c:72%](0,255,0), P[c:97%](0,0,255), P[c:122%](127,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (127,0,255), P[c:24%](255,0,0), P[c:49%](255,255,0), P[c:74%](0,255,0), P[c:99%](0,0,255), P[c:124%](127,0,255);
A[rainbow_wave, 14] <= P[c:0%] (127,0,255), P[c:25%](255,0,0), P[c:50%](255,255,0), P[c:75%](0,255,0), P[c:100%](0,0,255);
A[rainbow_wave, 15] <= P[c:-24%](0,0,255), P[c:2%] (127,0,255), P[c:27%](255,0,0), P[c:52%](255,255,0), P[c:77%](0,255,0), P[c:102%](0,0,255);
A[rainbow_wave, 16] <= P[c:-22%](0,0,255), P[c:4%] (127,0,255), P[c:29%](255,0,0), P[c:54%](255,255,0), P[c:79%](0,255,0), P[c:104%](0,0,255);
A[rainbow_wave, 17] <= P[c:-20%](0,0,255), P[c:6%] (127,0,255), P[c:31%](255,0,0), P[c:56%](255,255,0), P[c:81%](0,255,0), P[c:106%](0,0,255);
A[rainbow_wave, 18] <= P[c:-18%](0,0,255), P[c:8%] (127,0,255), P[c:33%](255,0,0), P[c:58%](255,255,0), P[c:83%](0,255,0), P[c:108%](0,0,255);
A[rainbow_wave, 19] <= P[c:-16%](0,0,255), P[c:10%](127,0,255), P[c:35%](255,0,0), P[c:60%](255,255,0), P[c:85%](0,255,0), P[c:110%](0,0,255);
A[rainbow_wave, 20] <= P[c:-14%](0,0,255), P[c:12%](127,0,255), P[c:37%](255,0,0), P[c:62%](255,255,0), P[c:87%](0,255,0), P[c:112%](0,0,255);
A[rainbow_wave, 21] <= P[c:-12%](0,0,255), P[c:14%](127,0,255), P[c:39%](255,0,0), P[c:64%](255,255,0), P[c:89%](0,255,0), P[c:114%](0,0,255);
A[rainbow_wave, 22] <= P[c:-10%](0,0,255), P[c:16%](127,0,255), P[c:41%](255,0,0), P[c:66%](255,255,0), P[c:91%](0,255,0), P[c:116%](0,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (0,0,255), P[c:18%](127,0,255), P[c:43%](255,0,0), P[c:68%](255,255,0), P[c:93%](0,255,0), P[c:118%](0,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (0,0,255), P[c:20%](127,0,255), P[c:45%](255,0,0), P[c:70%](255,255,0), P[c:95%](0,255,0), P[c:120%](0,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (0,0,255), P[c:22%](127,0,255), P[c:47%](255,0,0), P[c:72%](255,255,0), P[c:97%](0,255,0), P[c:122%](0,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (0,0,255), P[c:24%](127,0,255), P[c:49%](255,0,0), P[c:74%](255,255,0), P[c:99%](0,255,0), P[c:124%](0,0,255);
A[rainbow_wave, 28] <= P[c:0%] (0,0,255), P[c:25%](127,0,255), P[c:50%](255,0,0), P[c:75%](255,255,0), P[c:100%](0,255,0);
A[rainbow_wave, 29] <= P[c:-24%](0,255,0), P[c:2%] (0,0,255), P[c:27%](127,0,255), P[c:52%](255,0,0), P[c:77%](255,255,0), P[c:102%](0,255,0);
A[rainbow_wave, 30] <= P[c:-22%](0,255,0), P[c:4%] (0,0,255), P[c:29%](127,0,255), P[c:54%](255,0,0), P[c:79%](255,255,0), P[c:104%](0,255,0);
A[rainbow_wave, 31] <= P[c:-20%](0,255,0), P[c:6%] (0,0,255), P[c:31%](127,0,255), P[c:56%](255,0,0), P[c:81%](255,255,0), P[c:106%](0,255,0);
A[rainbow_wave, 32] <= P[c:-18%](0,255,0), P[c:8%] (0,0,255), P[c:33%](127,0,255), P[c:58%](255,0,0), P[c:83%](255,255,0), P[c:108%](0,255,0);
A[rainbow_wave, 33] <= P[c:-16%](0,255,0), P[c:10%](0,0,255), P[c:35%](127,0,255), P[c:60%](255,0,0), P[c:85%](255,255,0), P[c:110%](0,255,0);
A[rainbow_wave, 34] <= P[c:-14%](0,255,0), P[c:12%](0,0,255), P[c:37%](127,0,255), P[c:62%](255,0,0), P[c:87%](255,255,0), P[c:112%](0,255,0);
A[rainbow_wave, 35] <= P[c:-12%](0,255,0), P[c:14%](0,0,255), P[c:39%](127,0,255), P[c:64%](255,0,0), P[c:89%](255,255,0), P[c:114%](0,255,0);
A[rainbow_wave, 36] <= P[c:-10%](0,255,0), P[c:16%](0,0,255), P[c:41%](127,0,255), P[c:66%](255,0,0), P[c:91%](255,255,0), P[c:116%](0,255,0);
A[rainbow_wave, 37] <= P[c:-8%] (0,255,0), P[c:18%](0,0,255), P[c:43%](127,0,255), P[c:68%](255,0,0), P[c:93%](255,255,0), P[c:118%](0,255,0);
A[rainbow_wave, 38] <= P[c:-6%] (0,255,0), P[c:20%](0,0,255), P[c:45%](127,0,255), P[c:70%](255,0,0), P[c:95%](255,255,0), P[c:120%](0,255,0);
A[rainbow_wave, 39] <= P[c:-4%] (0,255,0), P[c:22%](0,0,255), P[c:47%](127,0,255), P[c:72%](255,0,0), P[c:97%](255,255,0), P[c:122%](0,255,0);
A[rainbow_wave, 40] <= P[c:-2%] (0,255,0), P[c:24%](0,0,255), P[c:49%](127,0,255), P[c:74%](255,0,0), P[c:99%](255,255,0), P[c:124%](0,255,0);
A[rainbow_wave, 41] <= P[c:0%] (0,255,0), P[c:25%](0,0,255), P[c:50%](127,0,255), P[c:75%](255,0,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (0,255,0), P[c:27%](0,0,255), P[c:52%](127,0,255), P[c:77%](255,0,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (0,255,0), P[c:29%](0,0,255), P[c:54%](127,0,255), P[c:79%](255,0,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (0,255,0), P[c:31%](0,0,255), P[c:56%](127,0,255), P[c:81%](255,0,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (0,255,0), P[c:33%](0,0,255), P[c:58%](127,0,255), P[c:83%](255,0,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](0,255,0), P[c:35%](0,0,255), P[c:60%](127,0,255), P[c:85%](255,0,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](0,255,0), P[c:37%](0,0,255), P[c:62%](127,0,255), P[c:87%](255,0,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](0,255,0), P[c:39%](0,0,255), P[c:64%](127,0,255), P[c:89%](255,0,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](0,255,0), P[c:41%](0,0,255), P[c:66%](127,0,255), P[c:91%](255,0,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](0,255,0), P[c:43%](0,0,255), P[c:68%](127,0,255), P[c:93%](255,0,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](0,255,0), P[c:45%](0,0,255), P[c:70%](127,0,255), P[c:95%](255,0,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](0,255,0), P[c:47%](0,0,255), P[c:72%](127,0,255), P[c:97%](255,0,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](0,255,0), P[c:49%](0,0,255), P[c:74%](127,0,255), P[c:99%](255,0,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](0,255,0), P[c:50%](0,0,255), P[c:75%](127,0,255), P[c:100%](255,0,0);
A[rainbow_wave, 55] <= P[c:-24%](255,0,0), P[c:2%] (255,255,0), P[c:27%](0,255,0), P[c:52%](0,0,255), P[c:77%](127,0,255), P[c:102%](255,0,0);
A[rainbow_wave, 56] <= P[c:-22%](255,0,0), P[c:4%] (255,255,0), P[c:29%](0,255,0), P[c:54%](0,0,255), P[c:79%](127,0,255), P[c:104%](255,0,0);
A[rainbow_wave, 57] <= P[c:-20%](255,0,0), P[c:6%] (255,255,0), P[c:31%](0,255,0), P[c:56%](0,0,255), P[c:81%](127,0,255), P[c:106%](255,0,0);
A[rainbow_wave, 58] <= P[c:-18%](255,0,0), P[c:8%] (255,255,0), P[c:33%](0,255,0), P[c:58%](0,0,255), P[c:83%](127,0,255), P[c:108%](255,0,0);
A[rainbow_wave, 59] <= P[c:-16%](255,0,0), P[c:10%](255,255,0), P[c:35%](0,255,0), P[c:60%](0,0,255), P[c:85%](127,0,255), P[c:110%](255,0,0);
A[rainbow_wave, 60] <= P[c:-14%](255,0,0), P[c:12%](255,255,0), P[c:37%](0,255,0), P[c:62%](0,0,255), P[c:87%](127,0,255), P[c:112%](255,0,0);
A[rainbow_wave, 61] <= P[c:-12%](255,0,0), P[c:14%](255,255,0), P[c:39%](0,255,0), P[c:64%](0,0,255), P[c:89%](127,0,255), P[c:114%](255,0,0);
A[rainbow_wave, 62] <= P[c:-10%](255,0,0), P[c:16%](255,255,0), P[c:41%](0,255,0), P[c:66%](0,0,255), P[c:91%](127,0,255), P[c:116%](255,0,0);
A[rainbow_wave, 63] <= P[c:-8%] (255,0,0), P[c:18%](255,255,0), P[c:43%](0,255,0), P[c:68%](0,0,255), P[c:93%](127,0,255), P[c:118%](255,0,0);
A[rainbow_wave, 64] <= P[c:-6%] (255,0,0), P[c:20%](255,255,0), P[c:45%](0,255,0), P[c:70%](0,0,255), P[c:95%](127,0,255), P[c:120%](255,0,0);
A[rainbow_wave, 65] <= P[c:-4%] (255,0,0), P[c:22%](255,255,0), P[c:47%](0,255,0), P[c:72%](0,0,255), P[c:97%](127,0,255), P[c:122%](255,0,0);
A[rainbow_wave, 66] <= P[c:-2%] (255,0,0), P[c:24%](255,255,0), P[c:49%](0,255,0), P[c:74%](0,0,255), P[c:99%](127,0,255), P[c:124%](255,0,0);
# Start/stop wave
U["Print"] :+ A[rainbow_wave](start);
U["Pause"] :+ A[rainbow_wave](start, loops:1, framedelay:0);
# Full-brightness white
A[all_white] <= pfunc:interp;
A[all_white, 1] <= P[c:0%](255,255,255), P[c:100%](255,255,255);
#U["Space"] :+ animation_control(0);
#U["Right"] :+ animation_control(1);
# Massdrop blue to pink (miami)
A[blue_to_pink] <= pfunc:interp;
A[blue_to_pink, 1] <= P[c:0%](0,0xAE,0xDA), P[c:100%](0xFF,0x14,0x93); # FF1493
# Color wheel
A[color_wheel] <= pfunc:interp;
A[color_wheel, 1] <= P[c:0%](0,0xAE,0xDA), P[c:100%](0xFF,0xDA,0xE9);
# Keys only color rotation
A[keys_only_rotation] <= framedelay:0xF, loop, replace:all, pfunc:interp;
A[keys_only_rotation, 1] <= S0x01(0xC1, 0x2D, 0x1D), S0x5F(0xC1, 0x2D, 0x1D);
A[keys_only_rotation, 2] <= S0x01(0xEE, 0x6D, 0x28), S0x5F(0xEE, 0x6D, 0x28);
A[keys_only_rotation, 3] <= S0x01(0xE0, 0x9E, 0x3B), S0x5F(0xE0, 0x9E, 0x3B);
A[keys_only_rotation, 4] <= S0x01(0xE5, 0xC9, 0x43), S0x5F(0xE5, 0xC9, 0x43);
A[keys_only_rotation, 5] <= S0x01(0x1E, 0xB8, 0x6D), S0x5F(0x1E, 0xB8, 0x6D);
A[keys_only_rotation, 6] <= S0x01(0x00, 0xB3, 0xA6), S0x5F(0x00, 0xB3, 0xA6);
A[keys_only_rotation, 7] <= S0x01(0x20, 0x82, 0xC6), S0x5F(0x20, 0x82, 0xC6);
A[keys_only_rotation, 8] <= S0x01(0x43, 0x54, 0xC1), S0x5F(0x43, 0x54, 0xC1);
A[keys_only_rotation, 9] <= S0x01(0x71, 0x1C, 0x9E), S0x5F(0x71, 0x1C, 0x9E);
A[keys_only_rotation, 10] <= S0x01(0xCD, 0x3B, 0x70), S0x5F(0xCD, 0x3B, 0x70);
A[keys_only_rotation, 11] <= S0x01(0xB8, 0x34, 0x3E), S0x5F(0xB8, 0x34, 0x3E);
# Underlighting only color rotation
A[underlighting_only_rotation] <= framedelay:0xF, loop, replace:all, pfunc:interp;
A[underlighting_only_rotation, 1] <= P[88](0xC1, 0x2D, 0x1D), P[128](0xC1, 0x2D, 0x1D);
A[underlighting_only_rotation, 2] <= P[88](0xEE, 0x6D, 0x28), P[128](0xEE, 0x6D, 0x28);
A[underlighting_only_rotation, 3] <= P[88](0xE0, 0x9E, 0x3B), P[128](0xE0, 0x9E, 0x3B);
A[underlighting_only_rotation, 4] <= P[88](0xE5, 0xC9, 0x43), P[128](0xE5, 0xC9, 0x43);
A[underlighting_only_rotation, 5] <= P[88](0x1E, 0xB8, 0x6D), P[128](0x1E, 0xB8, 0x6D);
A[underlighting_only_rotation, 6] <= P[88](0x00, 0xB3, 0xA6), P[128](0x00, 0xB3, 0xA6);
A[underlighting_only_rotation, 7] <= P[88](0x20, 0x82, 0xC6), P[128](0x20, 0x82, 0xC6);
A[underlighting_only_rotation, 8] <= P[88](0x43, 0x54, 0xC1), P[128](0x43, 0x54, 0xC1);
A[underlighting_only_rotation, 9] <= P[88](0x71, 0x1C, 0x9E), P[128](0x71, 0x1C, 0x9E);
A[underlighting_only_rotation, 10] <= P[88](0xCD, 0x3B, 0x70), P[128](0xCD, 0x3B, 0x70);
A[underlighting_only_rotation, 11] <= P[88](0xB8, 0x34, 0x3E), P[128](0xB8, 0x34, 0x3E);
U"F1" +: A[keys_only_rotation](start, framedelay:0x1F);
U"F2" +: A[keys_only_rotation](start);
U"F3" +: A[keys_only_rotation](start, framedelay:1);
U"F4" +: A[keys_only_rotation](pause);
U"F5" +: A[underlighting_only_rotation](start, framedelay:0x1F);
U"F6" +: A[underlighting_only_rotation](start);
U"F7" +: A[underlighting_only_rotation](start, framedelay:1);
U"F8" +: A[underlighting_only_rotation](pause);
U"Esc" + U"F1" : flashMode();
PK RKMZ Z kll/layouts/colemak.kllName = colemak;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-09-07;
# Top Row
'e' : 'f';
'r' : 'p';
't' : 'g';
'y' : 'j';
'u' : 'l';
'i' : 'u';
'o' : 'y';
'p' : ';';
# Middle Row
's' : 'r';
'd' : 's';
'f' : 't';
'g' : 'd';
'j' : 'n';
'k' : 'e';
'l' : 'i';
';' : 'o';
# Bottom Row
'n' : 'k';
PK RKMnC kll/layouts/funMacros.kllName = funMacros;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-10-14;
# TODO
#U"Function1" : layerShift( 1 );
U"Function2" : '!haata', U"Enter";
U"Function3" : '!w', U"Enter";
#U"Function4" : layerShift( 4 );
#U"Function5" : layerShift( 5 );
#U"Function6" : layerShift( 6 );
#U"Function7" : layerShift( 7 );
#U"Function8" : layerShift( 8 );
#U"Function9" : layerShift( 9 );
#U"Function10" : layerShift( 10 );
#U"Function11" : layerShift( 11 );
#U"Function12" : layerShift( 12 );
#U"Function13" : layerShift( 13 );
#U"Function14" : layerShift( 14 );
#U"Function15" : layerShift( 15 );
#U"Function16" : layerShift( 16 );
PK RKM?&V V kll/layouts/hhkbpro2.kllName = hhkbpro2;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3c;
# Modified Date
Date = 2015-10-12;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backslash" : U"Insert";
U"Backtick" : U"Delete";
# Top Row
U"Tab" : U"Capslock";
U"W" : flashMode();
U"I" : U"PrintScreen";
U"O" : U"ScrollLock";
U"P" : U"Pause";
U"[" : U"Up";
# Middle Row
U"A" : CONS"VolumeDown";
U"S" : CONS"VolumeUp";
U"D" : CONS"Mute";
U"F" : CONS"Eject";
U"H" : U"Keypad Asterisk";
U"J" : U"Keypad Slash";
U"K" : U"Home";
U"L" : U"PageUp";
U";" : U"Left";
U"Quote" : U"Right";
# Bottom Row
U"N" : U"Keypad Plus";
U"M" : U"Keypad Minus";
U"Comma" : U"End";
U"Period" : U"PageDown";
U"Slash" : U"Down";
# Space Row
# N/A
PK RKMĜ0 0 " kll/layouts/hhkbpro2_shiftLeft.kllName = hhkbpro2_shiftLeft;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Same has hhkbpro2 but accomodates a right FN key that is further to the left
# This means that all the keys meant to be pressed together with FN (same hand) are shifted left 1 key
# Modified Date
Date = 2014-10-02;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backslash" : U"Insert";
U"Backtick" : U"Delete";
# Top Row
U"Tab" : U"Capslock";
U"U" : U"PrintScreen";
U"I" : U"ScrollLock";
U"O" : U"Pause";
U"P" : U"Up";
# Middle Row
U"A" : U"VolumeDown";
U"S" : U"VolumeUp";
U"D" : U"Mute";
#U"F" : U"Eject"; # TODO Requires additional firmware support for media keys -HaaTa
U"G" : U"Keypad Asterix";
U"H" : U"Keypad Slash";
U"J" : U"Home";
U"K" : U"PageUp";
U"L" : U"Left";
U";" : U"Right";
# Bottom Row
U"B" : U"Keypad Plus";
U"N" : U"Keypad Minus";
U"M" : U"End";
U"Comma" : U"PageDown";
U"Period" : U"Down";
# Space Row
# N/A
PK RKM"q~ ~ kll/layouts/hhkbpro2_slim.kllName = hhkbpro2_slim;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-09-16;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backslash" : U"Insert";
U"Backtick" : U"Delete";
# Top Row
U"Tab" : U"Capslock";
U"[" : U"Up";
# Middle Row
U"K" : U"Home";
U"L" : U"PageUp";
U";" : U"Left";
U"Quote" : U"Right";
# Bottom Row
U"N" : U"Keypad Plus";
U"M" : U"Keypad Minus";
U"Comma" : U"End";
U"Period" : U"PageDown";
U"Slash" : U"Down";
# Space Row
# N/A
PK RKM kll/layouts/kishsaver_unix1.kllName = kishsaver_unix1;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-09-16;
# Row 1
U"Backtick" : U"Esc";
U"Inter2" : U"Backtick";
U"Backspace" : U"Delete";
# Row 2
U"Delete" : U"Backspace";
# Row 3
U"CapsLock" : U"Ctrl";
# Row 4
U"Inter3" : U"RShift";
U"RShift" : U"Function1";
# Row 5
U"LCtrl" : U"Function2";
U"LGui" : U"LAlt";
U"LAlt" : U"LGui";
U"RAlt" : U"RGui";
U"RGui" : U"RAlt";
U"RCtrl" : U"Function3";
PK RKM3x kll/layouts/kishsaver_unix2.kllName = kishsaver_unix1;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3a;
# Kishsaver UNIX Style with ANSI Enter
# Modified Date
Date = 2015-01-15;
# Row 1
U"Backtick" : U"Esc";
U"Inter2" : U"Backtick";
U"Backspace" : U"Delete";
# Row 2
U"Delete" : U"Backspace";
# Row 3
U"CapsLock" : U"Ctrl";
U"Backslash" : U"Enter";
# Row 4
U"Inter3" : U"RShift";
U"RShift" : U"Function1";
# Row 5
U"LCtrl" : U"Function2";
U"LGui" : U"LAlt";
U"LAlt" : U"LGui";
U"RAlt" : U"RGui";
U"RGui" : U"RAlt";
U"RCtrl" : U"Function3";
PK RKM
V) ) kll/layouts/klltest.kll# klltest - Layout used for unit tests in Keyboards/Testing/klltest.bash
Name = klltest;
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-04-21;
# Trigger Tests
U"A" + U"B" : U"C";
'cab' : U"D";
'qq' : U"E";
U"E", U"F" : U"G";
# Result Tests
U"G" : U"A" + U"B";
U"H" : 'ijk';
U"O" : 'ioo';
U"P" : U"Q", U"R";
# Layer Tests (new syntax)
U"I" : Layer[1];
U"T" : LayerShift[1];
U"J" : LayerLatch[2];
U"K" : LayerLock[3];
U"L" : Layer[10]; # Supposed to be invalid
# Consumer Control
U"M" : CONS"Eject";
# System Control
U"N" : SYS"Sleep";
# Animation Test
U"Q" : A[testanimation](start);
U"R" : A[blue_fill_interp](start);
U"S" : A[testanimation](start) + A[blue_fill_interp](start);
# Indicator Test
I"NumLock" : testThreadSafe();
I"CapsLock" : testThreadSafe();
I"ScrollLock" : testThreadSafe();
I"Compose" : testThreadSafe();
I"Kana" : testThreadSafe();
# Layer Trigger Tests
Layer[1] : testThreadSafe();
LayerShift[1] : testThreadUnsafe();
LayerLock[1] : testThreadSafe();
LayerLatch[1] : testThreadSafe();
PK RKMI kll/layouts/ktype_demo.kllName = ktype demo;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2016-2017";
KLL = 0.3d;
# Modified Date
Date = 2017-01-17;
# Toggle Rainbow
# TODO
#U"Menu" + U"F12" : rainbowToggle();
# Reactive Rainbow
# Single shot rainbow
# On each keypress flash one loop of rainbow
# TODO
PK RKM [f1 f1 kll/layouts/lcdFuncMap.kllName = lcdFuncMap;
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-09-29;
# Maps each Function key incrementally to each layer
# Unused layers and functions are ignored
U"Function1" :: layerShift( 1 ) + LCDLayerDisplay();
U"Function2" :: layerShift( 2 ) + LCDLayerDisplay();
U"Function3" :: layerShift( 3 ) + LCDLayerDisplay();
U"Function4" :: layerShift( 4 ) + LCDLayerDisplay();
U"Function5" :: layerShift( 5 ) + LCDLayerDisplay();
U"Function6" :: layerShift( 6 ) + LCDLayerDisplay();
U"Function7" :: layerShift( 7 ) + LCDLayerDisplay();
U"Function8" :: layerShift( 8 ) + LCDLayerDisplay();
U"Function9" :: layerShift( 9 ) + LCDLayerDisplay();
U"Function10" :: layerShift( 10 ) + LCDLayerDisplay();
U"Function11" :: layerShift( 11 ) + LCDLayerDisplay();
U"Function12" :: layerShift( 12 ) + LCDLayerDisplay();
U"Function13" :: layerShift( 13 ) + LCDLayerDisplay();
U"Function14" :: layerShift( 14 ) + LCDLayerDisplay();
U"Function15" :: layerShift( 15 ) + LCDLayerDisplay();
U"Function16" :: layerShift( 16 ) + LCDLayerDisplay();
U"Lock1" :: layerLock( 1 ) + LCDLayerDisplay();
U"Lock2" :: layerLock( 2 ) + LCDLayerDisplay();
U"Lock3" :: layerLock( 3 ) + LCDLayerDisplay();
U"Lock4" :: layerLock( 4 ) + LCDLayerDisplay();
U"Lock5" :: layerLock( 5 ) + LCDLayerDisplay();
U"Lock6" :: layerLock( 6 ) + LCDLayerDisplay();
U"Lock7" :: layerLock( 7 ) + LCDLayerDisplay();
U"Lock8" :: layerLock( 8 ) + LCDLayerDisplay();
U"Lock9" :: layerLock( 9 ) + LCDLayerDisplay();
U"Lock10" :: layerLock( 10 ) + LCDLayerDisplay();
U"Lock11" :: layerLock( 11 ) + LCDLayerDisplay();
U"Lock12" :: layerLock( 12 ) + LCDLayerDisplay();
U"Lock13" :: layerLock( 13 ) + LCDLayerDisplay();
U"Lock14" :: layerLock( 14 ) + LCDLayerDisplay();
U"Lock15" :: layerLock( 15 ) + LCDLayerDisplay();
U"Lock16" :: layerLock( 16 ) + LCDLayerDisplay();
U"Latch1" :: layerLatch( 1 ) + LCDLayerDisplay();
U"Latch2" :: layerLatch( 2 ) + LCDLayerDisplay();
U"Latch3" :: layerLatch( 3 ) + LCDLayerDisplay();
U"Latch4" :: layerLatch( 4 ) + LCDLayerDisplay();
U"Latch5" :: layerLatch( 5 ) + LCDLayerDisplay();
U"Latch6" :: layerLatch( 6 ) + LCDLayerDisplay();
U"Latch7" :: layerLatch( 7 ) + LCDLayerDisplay();
U"Latch8" :: layerLatch( 8 ) + LCDLayerDisplay();
U"Latch9" :: layerLatch( 9 ) + LCDLayerDisplay();
U"Latch10" :: layerLatch( 10 ) + LCDLayerDisplay();
U"Latch11" :: layerLatch( 11 ) + LCDLayerDisplay();
U"Latch12" :: layerLatch( 12 ) + LCDLayerDisplay();
U"Latch13" :: layerLatch( 13 ) + LCDLayerDisplay();
U"Latch14" :: layerLatch( 14 ) + LCDLayerDisplay();
U"Latch15" :: layerLatch( 15 ) + LCDLayerDisplay();
U"Latch16" :: layerLatch( 16 ) + LCDLayerDisplay();
# Layer rotation
U"Next Layer" :: layerRotate( 0 ) + LCDLayerDisplay(); # 0 is Next
U"Prev Layer" :: layerRotate( 1 ) + LCDLayerDisplay(); # 1 is Previous
# Colours assigned to each of the LCD numbers
# The "top of stack" layer is the colour used
STLcdNumber0Color => STLcdNumber0Color_define;
STLcdNumber1Color => STLcdNumber1Color_define;
STLcdNumber2Color => STLcdNumber2Color_define;
STLcdNumber3Color => STLcdNumber3Color_define;
STLcdNumber4Color => STLcdNumber4Color_define;
STLcdNumber5Color => STLcdNumber5Color_define;
STLcdNumber6Color => STLcdNumber6Color_define;
STLcdNumber7Color => STLcdNumber7Color_define;
STLcdNumber8Color => STLcdNumber8Color_define;
STLcdNumber9Color => STLcdNumber9Color_define;
# Brightness reduced to 75% and converted to 16-bit colour
# <8-bit>/0xFF * 0xFFFF * 0.75
STLcdNumber1Color = "0xA8A8, 0x2727, 0x1FA0"; # Taylor Swift's Lips #E0342A
STLcdNumber2Color = "0x4B4B, 0x8D8D, 0x34B5"; # Matrix Green #64BC46
STLcdNumber3Color = "0x0000, 0x8242, 0xB3F3"; # Smart Water Blue #00ADEF
STLcdNumber4Color = "0xF6F6, 0xA5A5, 0x4949"; # Fanta Orange #F6A549 (boosted to 100%)
STLcdNumber5Color = "0xB7B7, 0x5D5D, 0x8545"; # Nicki Minaj Pink #F47CB1
STLcdNumber6Color = "0xBCFC, 0xB6F6, 0x2D2D"; # Iowa Corn Yellow #FBDF3C
STLcdNumber7Color = "0x00C1, 0x7E7E, 0x3C3C"; # Sprite Green #01A850
STLcdNumber8Color = "0x8303, 0x1394, 0xB9F9"; # Fanta Purple #AE1AF7
STLcdNumber9Color = "0x09CA, 0x12D3, 0x8484"; # Red Bull Blue #0D19B0
STLcdNumber0Color = "0xB939, 0xAAEA, 0x8D8D"; # Butter Cow Off-white #F6E3BC
# Basic 32x32 numbers used to display layer stack
# Up to 4 of these numbers can be shown at a time on the LCD
STLcdNumber0 => STLcdNumber0_define;
STLcdNumber1 => STLcdNumber1_define;
STLcdNumber2 => STLcdNumber2_define;
STLcdNumber3 => STLcdNumber3_define;
STLcdNumber4 => STLcdNumber4_define;
STLcdNumber5 => STLcdNumber5_define;
STLcdNumber6 => STLcdNumber6_define;
STLcdNumber7 => STLcdNumber7_define;
STLcdNumber8 => STLcdNumber8_define;
STLcdNumber9 => STLcdNumber9_define;
STLcdNumber0 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber1 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
";
STLcdNumber2 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber3 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber4 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber5 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0x00, 0x00, 0x00,
";
STLcdNumber6 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0x00, 0x00, 0x00,
";
STLcdNumber7 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber8 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber9 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
PK RKM^ kll/layouts/md1Action.kllName = md1Overlay;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-16;
# Example of blocking ESC (0x29) when holding either Shift key
# Currently, kll only supports numbers (this may be fixed in a future kll spec)
U["LShift", "RShift"] : blockHold( 0x29 );
U"Esc" : blockKey( 0x29 );
# Now that Esc is blocked, it's possible to use this macro
U["LShift", "RShift"] + U"Esc" : '~';
U"Function2" : layerLock( 1 );
U"Function3" : action1();
U"Function4" : U"CapsLock";
PK RKM? kll/layouts/md1Overlay.kllName = md1Overlay;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-11-12;
U"Function2" : layerLock( 1 );
U"Function3" : layerLatch( 1 );
U"Function4" : U"CapsLock";
PK RKMaϡ kll/layouts/mouseTest.kll# Mouse Test
Name = mouseTest;
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2016-2018";
KLL = 0.5;
# Modified Date
Date = 2018-04-08;
# mouseOut
# Arg1, button, 1-16
# Arg2, mouse x relative axis -32 767 to 32 767
# Arg3, mouse y relative axis -32 767 to 32 767
U"1" : mouseOut( 1, 0, 0 );
U"2" : mouseOut( 2, 0, 0 );
U"3" : mouseOut( 3, 0, 0 );
U"4" : mouseOut( 4, 0, 0 );
U"5" : mouseOut( 5, 0, 0 );
U"6" : mouseOut( 6, 0, 0 );
U"7" : mouseOut( 7, 0, 0 );
U"8" : mouseOut( 8, 0, 0 );
U"Z" : mouseOut( 9, 0, 0 );
U"X" : mouseOut( 10, 0, 0 );
U"C" : mouseOut( 11, 0, 0 );
U"V" : mouseOut( 12, 0, 0 );
U"B" : mouseOut( 13, 0, 0 );
U"N" : mouseOut( 14, 0, 0 );
U"M" : mouseOut( 15, 0, 0 );
U"Comma" : mouseOut( 16, 0, 0 );
U"Up" : mouseOut( 0, 0, 1 );
U"Down" : mouseOut( 0, 0, -1 );
U"Left" : mouseOut( 0, -1, 0 );
U"Right" : mouseOut( 0, 1, 0 );
U"W" : mouseOut( 0, 0, 5 );
U"S" : mouseOut( 0, 0, -5 );
U"A" : mouseOut( 0, -5, 0 );
U"D" : mouseOut( 0, 5, 0 );
# mouseWheelOut
# Arg1, vertical wheel, -127 to 127
# Arg2, horizontal wheel, -127 to 127
U"=" : mouseWheelOut( 1, 0 );
U"-" : mouseWheelOut( -1, 0 );
U"]" : mouseWheelOut( 0, 1 );
U"[" : mouseWheelOut( 0, -1 );
PK RKMb * kll/layouts/programmers_dvorak_default.kllName = programmers dvorak default layer;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2016";
KLL = 0.3d;
# Modified Date
Date = 2016-08-06;
# This the default layer for programmers dvorak
# http://www.kaufmann.no/roland/dvorak/
#
# CAVEATS;
# 1) Assumes US ANSI locale set on the host OS
# 2) No AltGr layer (future enhancement, will require a different locale)
# 3) Some shortcuts may not behave correctly
# Shift Keys are masked in some situations
#
# USAGE:
# This layer must be set on the defaultMap
# programmers_dvorak_shift must be set as Layer1 (first PartialMap)
# Attempt to force the host OS to use US ANSI
# (Not guaranteed)
keyboardLocale = 33;
### Mapping ###
# Top Row
U"BackTick" : '$';
U"1" : '&';
U"2" : '[';
U"3" : '{';
U"4" : '}';
U"5" : '(';
U"6" : '=';
U"7" : '*';
U"8" : ')';
U"9" : '+';
U"0" : ']';
U"-" : '!';
U"=" : '#';
# Top-Middle Row
U"Q" : ';';
U"W" : ',';
U"E" : '.';
U"R" : 'p';
U"T" : 'y';
U"Y" : 'f';
U"U" : 'g';
U"I" : 'c';
U"O" : 'r';
U"P" : 'l';
U"[" : '/';
U"]" : '@';
### / is in the same place
# Middle Row
### A is in the same place
U"S" : 'o';
U"D" : 'e';
U"F" : 'u';
U"G" : 'i';
U"H" : 'd';
U"J" : 'h';
U"K" : 't';
U"L" : 'n';
U"Semicolon" : 's';
U"Quote" : '-';
# Bottom-Middle Row
U"LShift" :+ U"Function1"; # Do not replace LShift, just trigger Function1 in addition to LShift
### XXX Not sure what the square key is (-HaaTa)
U"Z" : U"Quote"; # ' is hard to do using the single quote syntax
U"X" : 'q';
U"C" : 'j';
U"V" : 'k';
U"B" : 'x';
### M is in the same place
U"N" : 'b';
U"Comma" : 'w';
#U"Period" : 'v';
U"Slash" : 'z';
U"RShift" :+ U"Function1"; # Do not replace RShift, just trigger Function1 in addition to RShift
# Bottom Row
# N/A
PK RKMER ( kll/layouts/programmers_dvorak_shift.kllName = programmers dvorak shift layer;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2016";
KLL = 0.3d;
#
# NOTE: See programmers_dvorak_default.kll for more details on how to use this layout
# It relies on the semantics of the US ANSI layout
#
# This file relies heavily on the blockKey capability for LShift (0xE1) and RShift (0xE5)
# However, it is only used in the cases where it's necessary
#
# We also rely on "fall-through" to the previous layer
# This means any normally shifted keys do not need to be redefined here
#
# Modified Date
Date = 2016-08-06;
### Mapping ###
# Top Row
U"BackTick" : '~';
U"1" : '%';
U"2" : U"7" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"3" : U"5" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"4" : U"3" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"5" : U"1" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"6" : U"9" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"7" : U"0" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"8" : U"2" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"9" : U"4" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"0" : U"6" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"-" : U"8" + blockKey( 0xE1 ) + blockKey( 0xE5 );
U"=" : U"Backtick" + blockKey( 0xE1 ) + blockKey( 0xE5 );
# Top-Middle Row
U"]" : '^';
# Middle Row
# N/A
# Bottom-Middle Row
# N/A
# Bottom Row
# N/A
PK RKMÀ kll/layouts/remote_reload.kllName = RemoteReload;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-09-01;
# Bootloader Remote Reload Enable
flashModeEnabled = 1;
PK RKM[g2 2 kll/layouts/stdFuncMap.kllName = stdFuncMap;
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2014-2015";
KLL = 0.3c;
# Modified Date
Date = 2015-09-29;
# Maps each Function key incrementally to each layer
# Unused layers and functions are ignored
U"Function1" :: layerShift( 1 );
U"Function2" :: layerShift( 2 );
U"Function3" :: layerShift( 3 );
U"Function4" :: layerShift( 4 );
U"Function5" :: layerShift( 5 );
U"Function6" :: layerShift( 6 );
U"Function7" :: layerShift( 7 );
U"Function8" :: layerShift( 8 );
U"Function9" :: layerShift( 9 );
U"Function10" :: layerShift( 10 );
U"Function11" :: layerShift( 11 );
U"Function12" :: layerShift( 12 );
U"Function13" :: layerShift( 13 );
U"Function14" :: layerShift( 14 );
U"Function15" :: layerShift( 15 );
U"Function16" :: layerShift( 16 );
U"Lock1" :: layerLock( 1 );
U"Lock2" :: layerLock( 2 );
U"Lock3" :: layerLock( 3 );
U"Lock4" :: layerLock( 4 );
U"Lock5" :: layerLock( 5 );
U"Lock6" :: layerLock( 6 );
U"Lock7" :: layerLock( 7 );
U"Lock8" :: layerLock( 8 );
U"Lock9" :: layerLock( 9 );
U"Lock10" :: layerLock( 10 );
U"Lock11" :: layerLock( 11 );
U"Lock12" :: layerLock( 12 );
U"Lock13" :: layerLock( 13 );
U"Lock14" :: layerLock( 14 );
U"Lock15" :: layerLock( 15 );
U"Lock16" :: layerLock( 16 );
U"Latch1" :: layerLatch( 1 );
U"Latch2" :: layerLatch( 2 );
U"Latch3" :: layerLatch( 3 );
U"Latch4" :: layerLatch( 4 );
U"Latch5" :: layerLatch( 5 );
U"Latch6" :: layerLatch( 6 );
U"Latch7" :: layerLatch( 7 );
U"Latch8" :: layerLatch( 8 );
U"Latch9" :: layerLatch( 9 );
U"Latch10" :: layerLatch( 10 );
U"Latch11" :: layerLatch( 11 );
U"Latch12" :: layerLatch( 12 );
U"Latch13" :: layerLatch( 13 );
U"Latch14" :: layerLatch( 14 );
U"Latch15" :: layerLatch( 15 );
U"Latch16" :: layerLatch( 16 );
# Layer rotation
U"Next Layer" :: layerRotate( 0 ); # 0 is Next
U"Prev Layer" :: layerRotate( 1 ); # 1 is Previous
PK RKME kll/layouts/tab_function.kllName = tab_function;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5c;
# Modified Date
Date = 2017-09-24;
U"Tab" : U"Function1";
PK RKMQ4Ƴ kll/layouts/usb_debug.kll# USB Debug Settings
# These options limit the keyboard to only the keyboard descriptor.
# This means that many of the features will be disabled.
# However, it does help greatly when debugging USB issues.
Name = USBDebugSettings;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-04-06;
## Settings ##
enableJoystick = 0;
enableMouse = 0;
enableVirtualSerialPort = 0;
enableRawIO = 0;
PK RKMu5 kll/layouts/whitefox.kllName = whitefox;
Version = 0.1;
Author = "Matt3o and HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-16;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backspace" : U"Delete";
U"Backtick" : U"PrintScreen";
# Top Row
U"Delete" : CONS"Mute";
# Middle Row
U"PageUp" : CONS"VolumeUp";
# Bottom Row
U"Up" : U"PageUp";
U"PageDown" : CONS"VolumeDown";
# Space Row
U"Gui" : U"Menu";
U"Left" : U"Home";
U"Down" : U"PageDown";
U"Right" : U"End";
PK RKM?&V V kll/layouts/ic60/hhkbpro2.kllName = hhkbpro2;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3c;
# Modified Date
Date = 2015-10-12;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backslash" : U"Insert";
U"Backtick" : U"Delete";
# Top Row
U"Tab" : U"Capslock";
U"W" : flashMode();
U"I" : U"PrintScreen";
U"O" : U"ScrollLock";
U"P" : U"Pause";
U"[" : U"Up";
# Middle Row
U"A" : CONS"VolumeDown";
U"S" : CONS"VolumeUp";
U"D" : CONS"Mute";
U"F" : CONS"Eject";
U"H" : U"Keypad Asterisk";
U"J" : U"Keypad Slash";
U"K" : U"Home";
U"L" : U"PageUp";
U";" : U"Left";
U"Quote" : U"Right";
# Bottom Row
U"N" : U"Keypad Plus";
U"M" : U"Keypad Minus";
U"Comma" : U"End";
U"Period" : U"PageDown";
U"Slash" : U"Down";
# Space Row
# N/A
PK RKM^ kll/layouts/ic60/md1Action.kllName = md1Overlay;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-16;
# Example of blocking ESC (0x29) when holding either Shift key
# Currently, kll only supports numbers (this may be fixed in a future kll spec)
U["LShift", "RShift"] : blockHold( 0x29 );
U"Esc" : blockKey( 0x29 );
# Now that Esc is blocked, it's possible to use this macro
U["LShift", "RShift"] + U"Esc" : '~';
U"Function2" : layerLock( 1 );
U"Function3" : action1();
U"Function4" : U"CapsLock";
PK RKM? kll/layouts/ic60/md1Overlay.kllName = md1Overlay;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2014";
KLL = 0.3;
# Modified Date
Date = 2014-11-12;
U"Function2" : layerLock( 1 );
U"Function3" : layerLatch( 1 );
U"Function4" : U"CapsLock";
PK RKMd& & ! kll/layouts/ic60_led/all-leds.kll# Turn all Infinity 60% LEDs on by default
Name = all-leds;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-31;
### Animations ###
## Usage ##
A[all_on] <= start, pfunc:interp;
# All LEDs on
A[all_on, 1] <= P[c:0%](255), P[c:100%](255);
PK RKM5;B* * ) kll/layouts/infinity_ergodox/all-leds.kll# Turn all Infinity Ergodox LEDs on by default
Name = all-leds;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-31;
### Animations ###
## Usage ##
A[all_on] <= start, pfunc:interp;
# All LEDs on
A[all_on, 1] <= P[c:0%](255), P[c:100%](255);
PK RKM%+s * kll/layouts/infinity_ergodox/iced_func.kllName = ICED Function Layer;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-21;
# Top Row - Left
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"Esc" : U"F11";
# Top Row - Right
U"Function6" : U"F12";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
PK RKM1! ! , kll/layouts/infinity_ergodox/iced_numpad.kllName = ICED Numpad Layer;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-21;
# Top Row - Left
U"Equals" : flashMode();
# Top Row - Right
U"7" : U"Numlock";
U"8" : U"Keypad Slash";
U"9" : U"Keypad Asterisk";
U"0" : U"Keypad Minus";
# Top-Middle Row - Right
U"U" : U"Keypad 7";
U"I" : U"Keypad 8";
U"O" : U"Keypad 9";
U"P" : U"Keypad Plus";
# Middle Row - Right
U"J" : U"Keypad 4";
U"K" : U"Keypad 5";
U"L" : U"Keypad 6";
U"Semicolon" : U"Keypad Plus";
# Bottom-Middle Row - Right
U"M" : U"Keypad 1";
U"Comma" : U"Keypad 2";
U"Period" : U"Keypad 3";
U"Slash" : U"Keypad Enter";
# Bottom Row - Right
U"Up" : U"Keypad Period";
U"Right" : U"Keypad Enter";
# Bottom Thumb Cluster - Right
U"Space" : U"Keypad 0";
PK RKM [f1 f1 + kll/layouts/infinity_ergodox/lcdFuncMap.kllName = lcdFuncMap;
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-09-29;
# Maps each Function key incrementally to each layer
# Unused layers and functions are ignored
U"Function1" :: layerShift( 1 ) + LCDLayerDisplay();
U"Function2" :: layerShift( 2 ) + LCDLayerDisplay();
U"Function3" :: layerShift( 3 ) + LCDLayerDisplay();
U"Function4" :: layerShift( 4 ) + LCDLayerDisplay();
U"Function5" :: layerShift( 5 ) + LCDLayerDisplay();
U"Function6" :: layerShift( 6 ) + LCDLayerDisplay();
U"Function7" :: layerShift( 7 ) + LCDLayerDisplay();
U"Function8" :: layerShift( 8 ) + LCDLayerDisplay();
U"Function9" :: layerShift( 9 ) + LCDLayerDisplay();
U"Function10" :: layerShift( 10 ) + LCDLayerDisplay();
U"Function11" :: layerShift( 11 ) + LCDLayerDisplay();
U"Function12" :: layerShift( 12 ) + LCDLayerDisplay();
U"Function13" :: layerShift( 13 ) + LCDLayerDisplay();
U"Function14" :: layerShift( 14 ) + LCDLayerDisplay();
U"Function15" :: layerShift( 15 ) + LCDLayerDisplay();
U"Function16" :: layerShift( 16 ) + LCDLayerDisplay();
U"Lock1" :: layerLock( 1 ) + LCDLayerDisplay();
U"Lock2" :: layerLock( 2 ) + LCDLayerDisplay();
U"Lock3" :: layerLock( 3 ) + LCDLayerDisplay();
U"Lock4" :: layerLock( 4 ) + LCDLayerDisplay();
U"Lock5" :: layerLock( 5 ) + LCDLayerDisplay();
U"Lock6" :: layerLock( 6 ) + LCDLayerDisplay();
U"Lock7" :: layerLock( 7 ) + LCDLayerDisplay();
U"Lock8" :: layerLock( 8 ) + LCDLayerDisplay();
U"Lock9" :: layerLock( 9 ) + LCDLayerDisplay();
U"Lock10" :: layerLock( 10 ) + LCDLayerDisplay();
U"Lock11" :: layerLock( 11 ) + LCDLayerDisplay();
U"Lock12" :: layerLock( 12 ) + LCDLayerDisplay();
U"Lock13" :: layerLock( 13 ) + LCDLayerDisplay();
U"Lock14" :: layerLock( 14 ) + LCDLayerDisplay();
U"Lock15" :: layerLock( 15 ) + LCDLayerDisplay();
U"Lock16" :: layerLock( 16 ) + LCDLayerDisplay();
U"Latch1" :: layerLatch( 1 ) + LCDLayerDisplay();
U"Latch2" :: layerLatch( 2 ) + LCDLayerDisplay();
U"Latch3" :: layerLatch( 3 ) + LCDLayerDisplay();
U"Latch4" :: layerLatch( 4 ) + LCDLayerDisplay();
U"Latch5" :: layerLatch( 5 ) + LCDLayerDisplay();
U"Latch6" :: layerLatch( 6 ) + LCDLayerDisplay();
U"Latch7" :: layerLatch( 7 ) + LCDLayerDisplay();
U"Latch8" :: layerLatch( 8 ) + LCDLayerDisplay();
U"Latch9" :: layerLatch( 9 ) + LCDLayerDisplay();
U"Latch10" :: layerLatch( 10 ) + LCDLayerDisplay();
U"Latch11" :: layerLatch( 11 ) + LCDLayerDisplay();
U"Latch12" :: layerLatch( 12 ) + LCDLayerDisplay();
U"Latch13" :: layerLatch( 13 ) + LCDLayerDisplay();
U"Latch14" :: layerLatch( 14 ) + LCDLayerDisplay();
U"Latch15" :: layerLatch( 15 ) + LCDLayerDisplay();
U"Latch16" :: layerLatch( 16 ) + LCDLayerDisplay();
# Layer rotation
U"Next Layer" :: layerRotate( 0 ) + LCDLayerDisplay(); # 0 is Next
U"Prev Layer" :: layerRotate( 1 ) + LCDLayerDisplay(); # 1 is Previous
# Colours assigned to each of the LCD numbers
# The "top of stack" layer is the colour used
STLcdNumber0Color => STLcdNumber0Color_define;
STLcdNumber1Color => STLcdNumber1Color_define;
STLcdNumber2Color => STLcdNumber2Color_define;
STLcdNumber3Color => STLcdNumber3Color_define;
STLcdNumber4Color => STLcdNumber4Color_define;
STLcdNumber5Color => STLcdNumber5Color_define;
STLcdNumber6Color => STLcdNumber6Color_define;
STLcdNumber7Color => STLcdNumber7Color_define;
STLcdNumber8Color => STLcdNumber8Color_define;
STLcdNumber9Color => STLcdNumber9Color_define;
# Brightness reduced to 75% and converted to 16-bit colour
# <8-bit>/0xFF * 0xFFFF * 0.75
STLcdNumber1Color = "0xA8A8, 0x2727, 0x1FA0"; # Taylor Swift's Lips #E0342A
STLcdNumber2Color = "0x4B4B, 0x8D8D, 0x34B5"; # Matrix Green #64BC46
STLcdNumber3Color = "0x0000, 0x8242, 0xB3F3"; # Smart Water Blue #00ADEF
STLcdNumber4Color = "0xF6F6, 0xA5A5, 0x4949"; # Fanta Orange #F6A549 (boosted to 100%)
STLcdNumber5Color = "0xB7B7, 0x5D5D, 0x8545"; # Nicki Minaj Pink #F47CB1
STLcdNumber6Color = "0xBCFC, 0xB6F6, 0x2D2D"; # Iowa Corn Yellow #FBDF3C
STLcdNumber7Color = "0x00C1, 0x7E7E, 0x3C3C"; # Sprite Green #01A850
STLcdNumber8Color = "0x8303, 0x1394, 0xB9F9"; # Fanta Purple #AE1AF7
STLcdNumber9Color = "0x09CA, 0x12D3, 0x8484"; # Red Bull Blue #0D19B0
STLcdNumber0Color = "0xB939, 0xAAEA, 0x8D8D"; # Butter Cow Off-white #F6E3BC
# Basic 32x32 numbers used to display layer stack
# Up to 4 of these numbers can be shown at a time on the LCD
STLcdNumber0 => STLcdNumber0_define;
STLcdNumber1 => STLcdNumber1_define;
STLcdNumber2 => STLcdNumber2_define;
STLcdNumber3 => STLcdNumber3_define;
STLcdNumber4 => STLcdNumber4_define;
STLcdNumber5 => STLcdNumber5_define;
STLcdNumber6 => STLcdNumber6_define;
STLcdNumber7 => STLcdNumber7_define;
STLcdNumber8 => STLcdNumber8_define;
STLcdNumber9 => STLcdNumber9_define;
STLcdNumber0 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber1 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
";
STLcdNumber2 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber3 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber4 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber5 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0x00, 0x00, 0x00,
";
STLcdNumber6 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0x00, 0x00, 0x00,
";
STLcdNumber7 = "
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber8 = "
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
STLcdNumber9 = "
0x00, 0x00, 0x00, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xe0, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xfc, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00,
";
PK RKME(* * / kll/layouts/infinity_ergodox/mdergo1Overlay.kllName = mdergo1Overlay;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-09-20;
# Make default layout more like the original ErgoDox default layout
# https://keyboard-configurator.massdrop.com/ext/ergodox/
#
# The defaultMap.kll in BaseMap cannot have any duplicate keys (or they cannot be fully remapped later)
# But, the DefaultMap can start to duplicate keys without any issues
# Top Row - Right
U"Function6" : U"Lock2";
# Top-Middle Row - Left
U"Function1" : U"Lock1";
# Bottom-Middle Row - Left
U"Function2" : U"Function1"; # Set Function2 to be layer shift 1
# Bottom-Middle Row - Right
U"Function7" : U"Function1"; # Set Function7 to be layer shift 1
# Bottom Row - Left
U"Function3" : U"Backslash";
U"Function4" : U"Left";
U"Function5" : U"Right";
PK RKM|IL $ kll/layouts/k-type/color_painter.kll# Color Painter Example Configuration
Name = Color Painter Animation Example;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-02-08;
PK RKMz
! kll/layouts/k-type/full_cross.kll# Full Cross Animation
Name = "Full Cross Animation";
Version = 0.3;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-08;
### Animations ###
## Usage Examples ##
# A[full_cross_white] <= replace:basic, loops:2, framedelay:1;
# U["P"] :+ A[full_cross_white](start);
#
# A[full_dark_cross] <= replace:basic;
# U["O"] :+ A[full_dark_cross](start);
# Full Cross White
A[full_cross_white, 1] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 2] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 3] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 4] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 5] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 6] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 7] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 8] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 9] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 10] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[full_cross_white, 11] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 12] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 13] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 14] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 15] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 16] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 17] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 18] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 19] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[full_cross_white, 20] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
# Full Dark Cross
# Works best with another animation already playing underneath
A[full_dark_cross, 1] <= P[r:i](-:255,-:255,-:255), P[c:i](-:255,-:255,-:255);
A[full_dark_cross, 2] <= P[r:i](-:225,-:225,-:225), P[c:i](-:225,-:225,-:225);
A[full_dark_cross, 3] <= P[r:i](-:200,-:200,-:200), P[c:i](-:200,-:200,-:200);
A[full_dark_cross, 4] <= P[r:i](-:175,-:175,-:175), P[c:i](-:175,-:175,-:175);
A[full_dark_cross, 5] <= P[r:i](-:150,-:150,-:150), P[c:i](-:150,-:150,-:150);
A[full_dark_cross, 6] <= P[r:i](-:125,-:125,-:125), P[c:i](-:125,-:125,-:125);
A[full_dark_cross, 7] <= P[r:i](-:100,-:100,-:100), P[c:i](-:100,-:100,-:100);
A[full_dark_cross, 8] <= P[r:i](-:75,-:75,-:75), P[c:i](-:75,-:75,-:75);
A[full_dark_cross, 9] <= P[r:i](-:50,-:50,-:50), P[c:i](-:50,-:50,-:50);
A[full_dark_cross, 10] <= P[r:i](-:25,-:25,-:25), P[c:i](-:25,-:25,-:25);
PK RKM4g( g( kll/layouts/k-type/miami.kll# Miami Animation
Name = "Miami Animation";
Version = 0.4;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-08;
### Animations ###
## Usage Examples ##
# A[rainbow_wave] <= start, framedelay:3, framestretch, loop, replace:all, pfunc:interp;
# Rainbow wave
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
PK RKM6`{ { # kll/layouts/k-type/rainbow_wipe.kll# Rainbow Wipe Animation
Name = Rainbow Wipe Animation;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-08;
### Animations ###
## Usage Examples ##
# U["A"-"Z"] :+ A[rainbow_wipe](loops:1);
# U["Print"] :+ A[rainbow_wipe]();
# U["Pause"] :+ A[rainbow_wipe](framedelay:0, loops:1, replace:all);
# Rainbow Wipe Animation
A[rainbow_wipe] <= loop, framestretch, framedelay:1, replace:basic, pfunc:interp;
A[rainbow_wipe, 1] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_wipe, 1] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255);
A[rainbow_wipe, 2] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_wipe, 2] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255);
A[rainbow_wipe, 3] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_wipe, 3] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255);
A[rainbow_wipe, 4] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_wipe, 4] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255);
#A[rainbow_wipe, 4] <= P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 5] <= P[c:0%](255,0,0), P[c:33%](255,255,0), P[c:58%](0,255,0), P[c:83%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 6] <= P[c:0%](255,0,0), P[c:35%](255,255,0), P[c:60%](0,255,0), P[c:85%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 7] <= P[c:0%](255,0,0), P[c:37%](255,255,0), P[c:62%](0,255,0), P[c:87%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 8] <= P[c:0%](255,0,0), P[c:39%](255,255,0), P[c:64%](0,255,0), P[c:89%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 9] <= P[c:0%](255,0,0), P[c:41%](255,255,0), P[c:66%](0,255,0), P[c:91%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 10] <= P[c:0%](255,0,0), P[c:43%](255,255,0), P[c:68%](0,255,0), P[c:93%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 11] <= P[c:0%](255,0,0), P[c:45%](255,255,0), P[c:70%](0,255,0), P[c:95%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 12] <= P[c:0%](255,0,0), P[c:47%](255,255,0), P[c:72%](0,255,0), P[c:97%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 13] <= P[c:0%](255,0,0), P[c:45%](255,255,0), P[c:70%](0,255,0), P[c:95%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 14] <= P[c:0%](255,0,0), P[c:43%](255,255,0), P[c:68%](0,255,0), P[c:93%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 15] <= P[c:0%](255,0,0), P[c:41%](255,255,0), P[c:66%](0,255,0), P[c:91%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 16] <= P[c:0%](255,0,0), P[c:39%](255,255,0), P[c:64%](0,255,0), P[c:89%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 17] <= P[c:0%](255,0,0), P[c:37%](255,255,0), P[c:62%](0,255,0), P[c:87%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 18] <= P[c:0%](255,0,0), P[c:35%](255,255,0), P[c:60%](0,255,0), P[c:85%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 19] <= P[c:0%](255,0,0), P[c:33%](255,255,0), P[c:58%](0,255,0), P[c:83%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 20] <= P[c:0%](255,0,0), P[c:31%](255,255,0), P[c:56%](0,255,0), P[c:81%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 21] <= P[c:0%](255,0,0), P[c:29%](255,255,0), P[c:54%](0,255,0), P[c:79%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 22] <= P[c:0%](255,0,0), P[c:27%](255,255,0), P[c:52%](0,255,0), P[c:77%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 23] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 24] <= P[c:0%](255,0,0), P[c:23%](255,255,0), P[c:47%](0,255,0), P[c:73%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 25] <= P[c:0%](255,0,0), P[c:21%](255,255,0), P[c:44%](0,255,0), P[c:71%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 26] <= P[c:0%](255,0,0), P[c:19%](255,255,0), P[c:41%](0,255,0), P[c:69%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 27] <= P[c:0%](255,0,0), P[c:17%](255,255,0), P[c:38%](0,255,0), P[c:67%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 28] <= P[c:0%](255,0,0), P[c:15%](255,255,0), P[c:35%](0,255,0), P[c:65%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 29] <= P[c:0%](255,0,0), P[c:13%](255,255,0), P[c:33%](0,255,0), P[c:63%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 30] <= P[c:0%](255,0,0), P[c:11%](255,255,0), P[c:30%](0,255,0), P[c:61%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 31] <= P[c:0%](255,0,0), P[c:9%](255,255,0), P[c:27%](0,255,0), P[c:59%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 32] <= P[c:0%](255,0,0), P[c:7%](255,255,0), P[c:24%](0,255,0), P[c:57%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 33] <= P[c:0%](255,0,0), P[c:5%](255,255,0), P[c:21%](0,255,0), P[c:55%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 34] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 35] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 36] <= P[c:0%](255,0,0), P[c:3%](255,255,0), P[c:18%](0,255,0), P[c:53%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 37] <= P[c:0%](255,0,0), P[c:10%](255,255,0), P[c:20%](0,255,0), P[c:60%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 38] <= P[c:0%](255,0,0), P[c:20%](255,255,0), P[c:40%](0,255,0), P[c:70%](0,0,255), P[c:100%](127,0,255);
A[rainbow_wipe, 39] <= P[c:0%](255,0,0), P[c:25%](255,255,0), P[c:50%](0,255,0), P[c:75%](0,0,255), P[c:100%](127,0,255);
#A[rainbow_wipe, 40] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
PK RKMTuX( X( kll/layouts/k-type/release.1.kll# Animation Example Configuration
Name = "Release 1";
Version = 1.0;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-09-06;
### Animations ###
# Rainbow wave
A[rainbow_wave] <= start, framedelay:3, framestretch, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
PK RKM f kll/layouts/k-type/streak.kll# Streak Animation
Name = Streak Animation;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-08;
### Animations ###
## Usage Examples ##
# U["1"] :+ A[streak](framedelay:1, loops:1);
# U["2"] :+ A[streak](framedelay:1, loops:2);
# U["3"] :+ A[streak](framedelay:1, loops:3);
# U["4"] :+ A[streak](framedelay:1, loops:4);
# U["5"] :+ A[streak](framedelay:1, loops:5);
# U["6"] :+ A[streak](framedelay:1, loops:6);
# U["7"] :+ A[streak](framedelay:1, loops:7);
# U["8"] :+ A[streak](framedelay:1, loops:8);
# U["9"] :+ A[streak](framedelay:1, loops:9);
# U["0"] :+ A[streak](loops:1);
# Underlighting streak
A[streak] <= loops:1, replace:stack;
A[streak, 1] <=
P[102](+:91,+:50,+:86),
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:100,-:100,-:100);
A[streak, 2] <=
P[101](+:91,+:50,+:86),
P[102](+:255,+:255,+:255),
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:100,-:100,-:100);
A[streak, 3] <=
P[100](+:91,+:50,+:86),
P[101](+:255,+:255,+:255),
P[102](-:55,-:100,-:100),
P[103](-:100,-:100,-:100),
P[104](-:100,-:100,-:100);
A[streak, 4] <=
P[99](+:91,+:50,+:86),
P[100](+:255,+:255,+:255),
P[101](-:55,-:100,-:100),
P[102](-:100,-:100,-:100),
P[103](-:100,-:100,-:100);
A[streak, 5] <=
P[98](+:91,+:50,+:86),
P[99](+:255,+:255,+:255),
P[100](-:55,-:100,-:100),
P[101](-:100,-:100,-:100),
P[102](-:100,-:100,-:100);
A[streak, 6] <=
P[97](+:91,+:50,+:86),
P[98](+:255,+:255,+:255),
P[99](-:55,-:100,-:100),
P[100](-:100,-:100,-:100),
P[101](-:100,-:100,-:100);
A[streak, 7] <=
P[96](+:91,+:50,+:86),
P[97](+:255,+:255,+:255),
P[98](-:55,-:100,-:100),
P[99](-:100,-:100,-:100),
P[100](-:100,-:100,-:100);
A[streak, 8] <=
P[95](+:91,+:50,+:86),
P[96](+:255,+:255,+:255),
P[97](-:55,-:100,-:100),
P[98](-:100,-:100,-:100),
P[99](-:100,-:100,-:100);
A[streak, 9] <=
P[94](+:91,+:50,+:86),
P[95](+:255,+:255,+:255),
P[96](-:55,-:100,-:100),
P[97](-:100,-:100,-:100),
P[98](-:100,-:100,-:100);
A[streak, 10] <=
P[93](+:91,+:50,+:86),
P[94](+:255,+:255,+:255),
P[95](-:55,-:100,-:100),
P[96](-:100,-:100,-:100),
P[97](-:100,-:100,-:100);
A[streak, 11] <=
P[92](+:91,+:50,+:86),
P[93](+:255,+:255,+:255),
P[94](-:55,-:100,-:100),
P[95](-:100,-:100,-:100),
P[96](-:100,-:100,-:100);
A[streak, 12] <=
P[91](+:91,+:50,+:86),
P[92](+:255,+:255,+:255),
P[93](-:55,-:100,-:100),
P[94](-:100,-:100,-:100),
P[95](-:100,-:100,-:100);
A[streak, 13] <=
P[90](+:91,+:50,+:86),
P[91](+:255,+:255,+:255),
P[92](-:55,-:100,-:100),
P[93](-:100,-:100,-:100),
P[94](-:100,-:100,-:100);
A[streak, 14] <=
P[89](+:91,+:50,+:86),
P[90](+:255,+:255,+:255),
P[91](-:55,-:100,-:100),
P[92](-:100,-:100,-:100),
P[93](-:100,-:100,-:100);
A[streak, 15] <=
P[88](+:91,+:50,+:86),
P[89](+:255,+:255,+:255),
P[90](-:55,-:100,-:100),
P[91](-:100,-:100,-:100),
P[92](-:100,-:100,-:100);
A[streak, 16] <=
P[119](+:91,+:50,+:86),
P[88](+:255,+:255,+:255),
P[89](-:55,-:100,-:100),
P[90](-:100,-:100,-:100),
P[91](-:100,-:100,-:100);
A[streak, 17] <=
P[118](+:91,+:50,+:86),
P[119](+:255,+:255,+:255),
P[88](-:55,-:100,-:100),
P[89](-:100,-:100,-:100),
P[90](-:100,-:100,-:100);
A[streak, 18] <=
P[117](+:91,+:50,+:86),
P[118](+:255,+:255,+:255),
P[119](-:55,-:100,-:100),
P[88](-:100,-:100,-:100),
P[89](-:100,-:100,-:100);
A[streak, 19] <=
P[116](+:91,+:50,+:86),
P[117](+:255,+:255,+:255),
P[118](-:55,-:100,-:100),
P[119](-:100,-:100,-:100),
P[88](-:100,-:100,-:100);
A[streak, 20] <=
P[115](+:91,+:50,+:86),
P[116](+:255,+:255,+:255),
P[117](-:55,-:100,-:100),
P[118](-:100,-:100,-:100),
P[119](-:100,-:100,-:100);
A[streak, 21] <=
P[114](+:91,+:50,+:86),
P[115](+:255,+:255,+:255),
P[116](-:55,-:100,-:100),
P[117](-:100,-:100,-:100),
P[118](-:100,-:100,-:100);
A[streak, 22] <=
P[113](+:91,+:50,+:86),
P[114](+:255,+:255,+:255),
P[115](-:55,-:100,-:100),
P[116](-:100,-:100,-:100),
P[117](-:100,-:100,-:100);
A[streak, 23] <=
P[112](+:91,+:50,+:86),
P[113](+:255,+:255,+:255),
P[114](-:55,-:100,-:100),
P[115](-:100,-:100,-:100),
P[116](-:100,-:100,-:100);
A[streak, 24] <=
P[111](+:91,+:50,+:86),
P[112](+:255,+:255,+:255),
P[113](-:55,-:100,-:100),
P[114](-:100,-:100,-:100),
P[115](-:100,-:100,-:100);
A[streak, 25] <=
P[110](+:91,+:50,+:86),
P[111](+:255,+:255,+:255),
P[112](-:55,-:100,-:100),
P[113](-:100,-:100,-:100),
P[114](-:100,-:100,-:100);
A[streak, 26] <=
P[109](+:91,+:50,+:86),
P[110](+:255,+:255,+:255),
P[111](-:55,-:100,-:100),
P[112](-:100,-:100,-:100),
P[113](-:100,-:100,-:100);
A[streak, 27] <=
P[108](+:91,+:50,+:86),
P[109](+:255,+:255,+:255),
P[110](-:55,-:100,-:100),
P[111](-:100,-:100,-:100),
P[112](-:100,-:100,-:100);
A[streak, 28] <=
P[107](+:91,+:50,+:86),
P[108](+:255,+:255,+:255),
P[109](-:55,-:100,-:100),
P[110](-:100,-:100,-:100),
P[111](-:100,-:100,-:100);
A[streak, 29] <=
P[106](+:91,+:50,+:86),
P[107](+:255,+:255,+:255),
P[108](-:55,-:100,-:100),
P[109](-:100,-:100,-:100),
P[110](-:100,-:100,-:100);
A[streak, 30] <=
P[105](+:91,+:50,+:86),
P[106](+:255,+:255,+:255),
P[107](-:55,-:100,-:100),
P[108](-:100,-:100,-:100),
P[109](-:100,-:100,-:100);
A[streak, 31] <=
P[104](+:91,+:50,+:86),
P[105](+:255,+:255,+:255),
P[106](-:55,-:100,-:100),
P[107](-:100,-:100,-:100),
P[108](-:100,-:100,-:100);
A[streak, 32] <=
P[103](+:91,+:50,+:86),
P[104](+:255,+:255,+:255),
P[105](-:55,-:100,-:100),
P[106](-:100,-:100,-:100),
P[107](-:100,-:100,-:100);
# Fade-out
A[streak, 33] <=
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:200,-:200,-:200);
A[streak, 33] <=
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:200,-:200,-:200);
A[streak, 34] <=
P[103](-:100,-:100,-:100),
P[104](-:200,-:200,-:200);
A[streak, 35] <=
P[103](-:200,-:200,-:200);
A[streak, 36] <=
P[106](0,0,0);
PK RKMvH kll/layouts/k-type/unset_v1.kll# Unset Animations Example Configuration
Name = Unset Animations Example;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-02-08;
U"A" : U"A";
U"B" : U"B";
U"C" : U"C";
U"D" : U"D";
U"E" : U"E";
U"F" : U"F";
U"G" : U"G";
U"H" : U"H";
U"I" : U"I";
U"J" : U"J";
U"K" : U"K";
U"L" : U"L";
U"M" : U"M";
U"N" : U"N";
U"O" : U"O";
U"P" : U"P";
U"Q" : U"Q";
U"R" : U"R";
U"S" : U"S";
U"T" : U"T";
U"U" : U"U";
U"V" : U"V";
U"W" : U"W";
U"X" : U"X";
U"Y" : U"Y";
U"Z" : U"Z";
U"Backtick" : U"Backtick";
U"1" : U"1";
U"2" : U"2";
U"3" : U"3";
U"4" : U"4";
U"5" : U"5";
U"6" : U"6";
U"7" : U"7";
U"8" : U"8";
U"9" : U"9";
U"0" : U"0";
U"Minus" : U"Minus";
U"Equals" : U"Equals";
U"Backspace" : U"Backspace";
U"Insert" : U"Insert";
U"Home" : U"Home";
U"PageUp" : U"PageUp";
U"Delete" : U"Delete";
U"End" : U"End";
U"PageDown" : U"PageDown";
U"Tab" : U"Tab";
U"LBrace" : U"LBrace";
U"RBrace" : U"RBrace";
U"Backslash" : U"Backslash";
U"CapsLock" : U"CapsLock";
U"Semicolon" : U"Semicolon";
U"Quote" : U"Quote";
U"Enter" : U"Enter";
U"LShift" : U"LShift";
U"Comma" : U"Comma";
U"Period" : U"Period";
U"Slash" : U"Slash";
U"RShift" : U"RShift";
U"LCtrl" : U"LCtrl";
U"LGui" : U"LGui";
U"LAlt" : U"LAlt";
U"Space" : U"Space";
U"RAlt" : U"RAlt";
U"RGui" : U"RGui";
# These are used as the layer locks, don't unset them
#U"App" : U"App";
#U"RCtrl" : U"RCtrl";
U"Esc" : U"Esc";
U"F1" : U"F1";
U"F2" : U"F2";
U"F3" : U"F3";
U"F4" : U"F4";
U"F5" : U"F5";
U"F6" : U"F6";
U"F7" : U"F7";
U"F8" : U"F8";
U"F9" : U"F9";
U"F10" : U"F10";
U"F11" : U"F11";
U"F12" : U"F12";
U"Print" : U"Print";
U"ScrollLock" : U"ScrollLock";
U"Pause" : U"Pause";
U"Up" : U"Up";
U"Down" : U"Down";
U"Left" : U"Left";
U"Right" : U"Right";
PK RKMEOr r kll/layouts/k-type/vmw.kll# Animation Example Configuration
Name = VMW Demo;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-08-23;
animation_test_layout => animation_test_layout_define;
animation_test_layout = 1;
### Animations ###
# Dark Ripple
#A[dark_ripple] <= replace:basic;
#A[dark_ripple, 1] <=
# Relative animation test
A[relative_add] <= replace:basic, loops:2, framedelay:1;
A[relative_add, 1] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 2] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 3] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 4] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 5] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 6] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 7] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 8] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 9] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 10] <= P[r:i](+:10,+:10,+:10), P[c:i](+:10,+:10,+:10);
A[relative_add, 11] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 12] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 13] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 14] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 15] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 16] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 17] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 18] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 19] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
A[relative_add, 20] <= P[r:i](-:10,-:10,-:10), P[c:i](-:10,-:10,-:10);
#A[relative_add, 21] <= P[r:i,c:i](50,50,50);
#A[relative_add, 2] <= P[c:i](+100,+100,+100);
#A[relative_add, 3] <= P[r:i,c:i](+100,+100,+100);
# TODO Move to U"CapsLock" when working
A[caps_lock] <= loop, replace:all;
A[caps_lock, 1] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 2] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 3] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 4] <= S[0x36](+:50,+:50,+:50);
A[caps_lock, 5] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 6] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 7] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 5] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 6] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 8] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 9] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 10] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 11] <= S[0x36](-:20,-:20,-:20);
A[caps_lock, 12] <= S[0x36](-:20,-:20,-:20);
# TODO Move to U"ScrollLock" when working
A[scroll_lock] <= loop, replace:all;
A[scroll_lock, 1] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 2] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 3] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 4] <= S[0xF](+:50,+:50,+:50);
A[scroll_lock, 5] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 6] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 7] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 5] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 6] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 8] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 9] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 10] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 11] <= S[0xF](-:20,-:20,-:20);
A[scroll_lock, 12] <= S[0xF](-:20,-:20,-:20);
# Lock Keys
A[lock_event] <= loops:1, replace:all, framedelay:1, replace:basic;
A[lock_event, 1] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 2] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 3] <= P[r:i,c:i](+:100,+:100,+:100);
A[lock_event, 4] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 5] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 6] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 7] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 8] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 9] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 10] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 11] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 12] <= P[r:i,c:i](+:0,+:0,+:0);
A[lock_event, 13] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 14] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 15] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 16] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 17] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 18] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 19] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 20] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 21] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 22] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 23] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 24] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 25] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 26] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 27] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 28] <= P[r:i,c:i](-:10,-:10,-:10);
A[lock_event, 29] <= P[r:i,c:i](-:10,-:10,-:10);
# Underlighting streak
A[under_streak] <= loops:1, replace:stack;
A[under_streak, 1] <=
P[102](+:91,+:50,+:86),
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:100,-:100,-:100);
A[under_streak, 2] <=
P[101](+:91,+:50,+:86),
P[102](+:255,+:255,+:255),
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:100,-:100,-:100);
A[under_streak, 3] <=
P[100](+:91,+:50,+:86),
P[101](+:255,+:255,+:255),
P[102](-:55,-:100,-:100),
P[103](-:100,-:100,-:100),
P[104](-:100,-:100,-:100);
A[under_streak, 4] <=
P[99](+:91,+:50,+:86),
P[100](+:255,+:255,+:255),
P[101](-:55,-:100,-:100),
P[102](-:100,-:100,-:100),
P[103](-:100,-:100,-:100);
A[under_streak, 5] <=
P[98](+:91,+:50,+:86),
P[99](+:255,+:255,+:255),
P[100](-:55,-:100,-:100),
P[101](-:100,-:100,-:100),
P[102](-:100,-:100,-:100);
A[under_streak, 6] <=
P[97](+:91,+:50,+:86),
P[98](+:255,+:255,+:255),
P[99](-:55,-:100,-:100),
P[100](-:100,-:100,-:100),
P[101](-:100,-:100,-:100);
A[under_streak, 7] <=
P[128](+:91,+:50,+:86),
P[97](+:255,+:255,+:255),
P[98](-:55,-:100,-:100),
P[99](-:100,-:100,-:100),
P[100](-:100,-:100,-:100);
A[under_streak, 8] <=
P[127](+:91,+:50,+:86),
P[128](+:255,+:255,+:255),
P[97](-:55,-:100,-:100),
P[98](-:100,-:100,-:100),
P[99](-:100,-:100,-:100);
A[under_streak, 9] <=
P[126](+:91,+:50,+:86),
P[127](+:255,+:255,+:255),
P[128](-:55,-:100,-:100),
P[97](-:100,-:100,-:100),
P[98](-:100,-:100,-:100);
A[under_streak, 10] <=
P[125](+:91,+:50,+:86),
P[126](+:255,+:255,+:255),
P[127](-:55,-:100,-:100),
P[128](-:100,-:100,-:100),
P[97](-:100,-:100,-:100);
A[under_streak, 11] <=
P[124](+:91,+:50,+:86),
P[125](+:255,+:255,+:255),
P[126](-:55,-:100,-:100),
P[127](-:100,-:100,-:100),
P[128](-:100,-:100,-:100);
A[under_streak, 12] <=
P[123](+:91,+:50,+:86),
P[124](+:255,+:255,+:255),
P[125](-:55,-:100,-:100),
P[126](-:100,-:100,-:100),
P[127](-:100,-:100,-:100);
A[under_streak, 13] <=
P[122](+:91,+:50,+:86),
P[123](+:255,+:255,+:255),
P[124](-:55,-:100,-:100),
P[125](-:100,-:100,-:100),
P[126](-:100,-:100,-:100);
A[under_streak, 14] <=
P[121](+:91,+:50,+:86),
P[122](+:255,+:255,+:255),
P[123](-:55,-:100,-:100),
P[124](-:100,-:100,-:100),
P[125](-:100,-:100,-:100);
A[under_streak, 15] <=
P[120](+:91,+:50,+:86),
P[121](+:255,+:255,+:255),
P[122](-:55,-:100,-:100),
P[123](-:100,-:100,-:100),
P[124](-:100,-:100,-:100);
A[under_streak, 16] <=
P[119](+:91,+:50,+:86),
P[120](+:255,+:255,+:255),
P[121](-:55,-:100,-:100),
P[122](-:100,-:100,-:100),
P[123](-:100,-:100,-:100);
A[under_streak, 17] <=
P[118](+:91,+:50,+:86),
P[119](+:255,+:255,+:255),
P[120](-:55,-:100,-:100),
P[121](-:100,-:100,-:100),
P[122](-:100,-:100,-:100);
A[under_streak, 18] <=
P[117](+:91,+:50,+:86),
P[118](+:255,+:255,+:255),
P[119](-:55,-:100,-:100),
P[120](-:100,-:100,-:100),
P[121](-:100,-:100,-:100);
A[under_streak, 19] <=
P[116](+:91,+:50,+:86),
P[117](+:255,+:255,+:255),
P[118](-:55,-:100,-:100),
P[119](-:100,-:100,-:100),
P[120](-:100,-:100,-:100);
A[under_streak, 20] <=
P[115](+:91,+:50,+:86),
P[116](+:255,+:255,+:255),
P[117](-:55,-:100,-:100),
P[118](-:100,-:100,-:100),
P[119](-:100,-:100,-:100);
A[under_streak, 21] <=
P[114](+:91,+:50,+:86),
P[115](+:255,+:255,+:255),
P[116](-:55,-:100,-:100),
P[117](-:100,-:100,-:100),
P[118](-:100,-:100,-:100);
A[under_streak, 22] <=
P[113](+:91,+:50,+:86),
P[114](+:255,+:255,+:255),
P[115](-:55,-:100,-:100),
P[116](-:100,-:100,-:100),
P[117](-:100,-:100,-:100);
A[under_streak, 23] <=
P[112](+:91,+:50,+:86),
P[113](+:255,+:255,+:255),
P[114](-:55,-:100,-:100),
P[115](-:100,-:100,-:100),
P[116](-:100,-:100,-:100);
A[under_streak, 24] <=
P[111](+:91,+:50,+:86),
P[112](+:255,+:255,+:255),
P[113](-:55,-:100,-:100),
P[114](-:100,-:100,-:100),
P[115](-:100,-:100,-:100);
A[under_streak, 25] <=
P[110](+:91,+:50,+:86),
P[111](+:255,+:255,+:255),
P[112](-:55,-:100,-:100),
P[113](-:100,-:100,-:100),
P[114](-:100,-:100,-:100);
A[under_streak, 26] <=
P[109](+:91,+:50,+:86),
P[110](+:255,+:255,+:255),
P[111](-:55,-:100,-:100),
P[112](-:100,-:100,-:100),
P[113](-:100,-:100,-:100);
A[under_streak, 27] <=
P[108](+:91,+:50,+:86),
P[109](+:255,+:255,+:255),
P[110](-:55,-:100,-:100),
P[111](-:100,-:100,-:100),
P[112](-:100,-:100,-:100);
A[under_streak, 28] <=
P[107](+:91,+:50,+:86),
P[108](+:255,+:255,+:255),
P[109](-:55,-:100,-:100),
P[110](-:100,-:100,-:100),
P[111](-:100,-:100,-:100);
A[under_streak, 29] <=
P[106](+:91,+:50,+:86),
P[107](+:255,+:255,+:255),
P[108](-:55,-:100,-:100),
P[109](-:100,-:100,-:100),
P[110](-:100,-:100,-:100);
A[under_streak, 30] <=
P[105](+:91,+:50,+:86),
P[106](+:255,+:255,+:255),
P[107](-:55,-:100,-:100),
P[108](-:100,-:100,-:100),
P[109](-:100,-:100,-:100);
A[under_streak, 31] <=
P[104](+:91,+:50,+:86),
P[105](+:255,+:255,+:255),
P[106](-:55,-:100,-:100),
P[107](-:100,-:100,-:100),
P[108](-:100,-:100,-:100);
A[under_streak, 32] <=
P[103](+:91,+:50,+:86),
P[104](+:255,+:255,+:255),
P[105](-:55,-:100,-:100),
P[106](-:100,-:100,-:100),
P[107](-:100,-:100,-:100);
# Fade-out
A[under_streak, 33] <=
P[103](+:255,+:255,+:255),
P[104](-:55,-:100,-:100),
P[105](-:100,-:100,-:100),
P[106](-:200,-:200,-:200);
A[under_streak, 33] <=
P[103](-:55,-:100,-:100),
P[104](-:100,-:100,-:100),
P[105](-:200,-:200,-:200);
A[under_streak, 34] <=
P[103](-:100,-:100,-:100),
P[104](-:200,-:200,-:200);
A[under_streak, 35] <=
P[103](-:200,-:200,-:200);
A[under_streak, 36] <=
P[106](0,0,0);
# Rainbow wave
A[rainbow_wave] <= start, framedelay:3, framestretch, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
# Start/stop wave
U["Print"] :+ A[rainbow_wave](start);
U["Pause"] :+ A[rainbow_wave](start, loops:1, framedelay:0);
# Keys only color rotation
A[keys_only_rotation] <= framedelay:0xF, pfunc:interp;
A[keys_only_rotation, 1] <= S0x01(0xC1, 0x2D, 0x1D), S0x5F(0xC1, 0x2D, 0x1D);
A[keys_only_rotation, 2] <= S0x01(0xEE, 0x6D, 0x28), S0x5F(0xEE, 0x6D, 0x28);
A[keys_only_rotation, 3] <= S0x01(0xE0, 0x9E, 0x3B), S0x5F(0xE0, 0x9E, 0x3B);
A[keys_only_rotation, 4] <= S0x01(0xE5, 0xC9, 0x43), S0x5F(0xE5, 0xC9, 0x43);
A[keys_only_rotation, 5] <= S0x01(0x1E, 0xB8, 0x6D), S0x5F(0x1E, 0xB8, 0x6D);
A[keys_only_rotation, 6] <= S0x01(0x00, 0xB3, 0xA6), S0x5F(0x00, 0xB3, 0xA6);
A[keys_only_rotation, 7] <= S0x01(0x20, 0x82, 0xC6), S0x5F(0x20, 0x82, 0xC6);
A[keys_only_rotation, 8] <= S0x01(0x43, 0x54, 0xC1), S0x5F(0x43, 0x54, 0xC1);
A[keys_only_rotation, 9] <= S0x01(0x71, 0x1C, 0x9E), S0x5F(0x71, 0x1C, 0x9E);
A[keys_only_rotation, 10] <= S0x01(0xCD, 0x3B, 0x70), S0x5F(0xCD, 0x3B, 0x70);
A[keys_only_rotation, 11] <= S0x01(0xB8, 0x34, 0x3E), S0x5F(0xB8, 0x34, 0x3E);
# Underlighting only color rotation
A[underlighting_only_rotation] <= framedelay:0xF, pfunc:interp;
A[underlighting_only_rotation, 1] <= P[88](0xC1, 0x2D, 0x1D), P[128](0xC1, 0x2D, 0x1D);
A[underlighting_only_rotation, 2] <= P[88](0xEE, 0x6D, 0x28), P[128](0xEE, 0x6D, 0x28);
A[underlighting_only_rotation, 3] <= P[88](0xE0, 0x9E, 0x3B), P[128](0xE0, 0x9E, 0x3B);
A[underlighting_only_rotation, 4] <= P[88](0xE5, 0xC9, 0x43), P[128](0xE5, 0xC9, 0x43);
A[underlighting_only_rotation, 5] <= P[88](0x1E, 0xB8, 0x6D), P[128](0x1E, 0xB8, 0x6D);
A[underlighting_only_rotation, 6] <= P[88](0x00, 0xB3, 0xA6), P[128](0x00, 0xB3, 0xA6);
A[underlighting_only_rotation, 7] <= P[88](0x20, 0x82, 0xC6), P[128](0x20, 0x82, 0xC6);
A[underlighting_only_rotation, 8] <= P[88](0x43, 0x54, 0xC1), P[128](0x43, 0x54, 0xC1);
A[underlighting_only_rotation, 9] <= P[88](0x71, 0x1C, 0x9E), P[128](0x71, 0x1C, 0x9E);
A[underlighting_only_rotation, 10] <= P[88](0xCD, 0x3B, 0x70), P[128](0xCD, 0x3B, 0x70);
A[underlighting_only_rotation, 11] <= P[88](0xB8, 0x34, 0x3E), P[128](0xB8, 0x34, 0x3E);
U"F1" +: A[keys_only_rotation](start, framedelay:0x1F);
U"F2" +: A[keys_only_rotation](start);
U"F3" +: A[keys_only_rotation](start, framedelay:1);
U"F4" +: A[keys_only_rotation](pause);
U"F5" +: A[underlighting_only_rotation](start, framedelay:0x1F);
U"F6" +: A[underlighting_only_rotation](start);
U"F7" +: A[underlighting_only_rotation](start, framedelay:1);
U"F8" +: A[underlighting_only_rotation](pause);
# TODO
# Esc, reset animations
U"Esc" +: animation_control(4);
# Rainbow Animation example
A[rainbow_fill_interp] <= loop, replace:basic, pfunc:interp;
A[rainbow_fill_interp, 1] <= P[c:0%](0,255,0), P[c:25%](255,255,0), P[c:50%](255,0,0), P[c:75%](127,0,255), P[c:100%](0,0,255);
#A[rainbow_fill_interp, 1] <= P[c:0%](0,255,0), P[c:25%](255,255,0), P[c:50%](255,0,0), P[c:75%](127,0,255);
A[rainbow_fill_interp, 2] <= P[c:0%](0,255,0), P[c:27%](255,255,0), P[c:52%](255,0,0), P[c:77%](127,0,255), P[c:100%](0,0,255);
#A[rainbow_fill_interp, 2] <= P[c:0%](0,255,0), P[c:27%](255,255,0), P[c:52%](255,0,0), P[c:77%](127,0,255);
A[rainbow_fill_interp, 3] <= P[c:0%](0,255,0), P[c:29%](255,255,0), P[c:54%](255,0,0), P[c:79%](127,0,255), P[c:100%](0,0,255);
#A[rainbow_fill_interp, 3] <= P[c:0%](0,255,0), P[c:29%](255,255,0), P[c:54%](255,0,0), P[c:79%](127,0,255);
A[rainbow_fill_interp, 4] <= P[c:0%](0,255,0), P[c:31%](255,255,0), P[c:56%](255,0,0), P[c:81%](127,0,255), P[c:100%](0,0,255);
#A[rainbow_fill_interp, 4] <= P[c:0%](0,255,0), P[c:31%](255,255,0), P[c:56%](255,0,0), P[c:81%](127,0,255);
#A[rainbow_fill_interp, 4] <= P[c:56%](255,0,0), P[c:81%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 5] <= P[c:0%](0,255,0), P[c:33%](255,255,0), P[c:58%](255,0,0), P[c:83%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 6] <= P[c:0%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,0,0), P[c:85%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 7] <= P[c:0%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,0,0), P[c:87%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 8] <= P[c:0%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,0,0), P[c:89%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 9] <= P[c:0%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,0,0), P[c:91%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 10] <= P[c:0%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,0,0), P[c:93%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 11] <= P[c:0%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,0,0), P[c:95%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 12] <= P[c:0%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,0,0), P[c:97%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 13] <= P[c:0%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,0,0), P[c:95%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 14] <= P[c:0%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,0,0), P[c:93%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 15] <= P[c:0%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,0,0), P[c:91%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 16] <= P[c:0%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,0,0), P[c:89%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 17] <= P[c:0%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,0,0), P[c:87%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 18] <= P[c:0%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,0,0), P[c:85%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 19] <= P[c:0%](0,255,0), P[c:33%](255,255,0), P[c:58%](255,0,0), P[c:83%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 20] <= P[c:0%](0,255,0), P[c:31%](255,255,0), P[c:56%](255,0,0), P[c:81%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 21] <= P[c:0%](0,255,0), P[c:29%](255,255,0), P[c:54%](255,0,0), P[c:79%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 22] <= P[c:0%](0,255,0), P[c:27%](255,255,0), P[c:52%](255,0,0), P[c:77%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 23] <= P[c:0%](0,255,0), P[c:25%](255,255,0), P[c:50%](255,0,0), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 24] <= P[c:0%](0,255,0), P[c:23%](255,255,0), P[c:47%](255,0,0), P[c:73%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 25] <= P[c:0%](0,255,0), P[c:21%](255,255,0), P[c:44%](255,0,0), P[c:71%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 26] <= P[c:0%](0,255,0), P[c:19%](255,255,0), P[c:41%](255,0,0), P[c:69%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 27] <= P[c:0%](0,255,0), P[c:17%](255,255,0), P[c:38%](255,0,0), P[c:67%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 28] <= P[c:0%](0,255,0), P[c:15%](255,255,0), P[c:35%](255,0,0), P[c:65%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 29] <= P[c:0%](0,255,0), P[c:13%](255,255,0), P[c:33%](255,0,0), P[c:63%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 30] <= P[c:0%](0,255,0), P[c:11%](255,255,0), P[c:30%](255,0,0), P[c:61%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 31] <= P[c:0%](0,255,0), P[c:9%](255,255,0), P[c:27%](255,0,0), P[c:59%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 32] <= P[c:0%](0,255,0), P[c:7%](255,255,0), P[c:24%](255,0,0), P[c:57%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 33] <= P[c:0%](0,255,0), P[c:5%](255,255,0), P[c:21%](255,0,0), P[c:55%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 34] <= P[c:0%](0,255,0), P[c:3%](255,255,0), P[c:18%](255,0,0), P[c:53%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 35] <= P[c:0%](0,255,0), P[c:3%](255,255,0), P[c:18%](255,0,0), P[c:53%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 36] <= P[c:0%](0,255,0), P[c:3%](255,255,0), P[c:18%](255,0,0), P[c:53%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 37] <= P[c:0%](0,255,0), P[c:10%](255,255,0), P[c:20%](255,0,0), P[c:60%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 38] <= P[c:0%](0,255,0), P[c:20%](255,255,0), P[c:40%](255,0,0), P[c:70%](127,0,255), P[c:100%](0,0,255);
A[rainbow_fill_interp, 39] <= P[c:0%](0,255,0), P[c:25%](255,255,0), P[c:50%](255,0,0), P[c:75%](127,0,255), P[c:100%](0,0,255);
#A[rainbow_fill_interp, 40] <= P[c:0%](100,100,100), P[c:100%](100,100,100);
U["A"-"Z"] :+ A[rainbow_fill_interp](loops:1);
U["1"] :+ A[under_streak](framedelay:1, loops:1);
U["2"] :+ A[under_streak](framedelay:1, loops:2);
U["3"] :+ A[under_streak](framedelay:1, loops:3);
U["4"] :+ A[under_streak](framedelay:1, loops:4);
U["5"] :+ A[under_streak](framedelay:1, loops:5);
U["6"] :+ A[under_streak](framedelay:1, loops:6);
U["7"] :+ A[under_streak](framedelay:1, loops:7);
U["8"] :+ A[under_streak](framedelay:1, loops:8);
U["9"] :+ A[under_streak](framedelay:1, loops:9);
U["0"] :+ A[under_streak](loops:1);
PK RKMW7]f+ f+ kll/layouts/kira/demo.1.kll# Animation Example Configuration
Name = "Demo 1";
Version = 1.0;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-11-11;
### Animations ###
A[leds_ind] <= start, framedelay:10, framestretch, loop;
A[leds_ind, 1] <= P[126](127,0,55), P[127](127,200,55), P[128](127,0,55);
A[leds_ind, 2] <= P[126](127,0,25), P[127](127,200,25), P[128](180,0,25);
A[leds_ind, 3] <= P[126](127,0,0), P[127](127,200,0), P[128](227,0,0);
A[leds_ind, 4] <= P[126](127,0,0), P[127](127,200,0), P[128](167,0,0);
A[leds_ind, 5] <= P[126](100,0,0), P[127](100,200,0), P[128](100,0,0);
A[leds_ind, 6] <= P[126](70,0,0), P[127](70,200,0), P[128](70,0,0);
A[leds_ind, 7] <= P[126](40,0,0), P[127](40,200,0), P[128](40,0,0);
A[leds_ind, 8] <= P[126](20,0,0), P[127](20,200,0), P[128](20,0,0);
A[leds_ind, 9] <= P[126](0,0,0), P[127](0,200,0), P[128](0,0,0);
A[leds_ind, 10]<= P[126](50,0,30), P[127](50,200,30), P[128](50,0,30);
# Rainbow wave
A[rainbow_wave] <= start, framedelay:3, framestretch, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
PK RKMq- - kll/layouts/kira/demo.2.kll# Animation Example Configuration
Name = "Demo 2";
Version = 1.0;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-02-16;
### Animations ###
# Indicator LEDs
A[leds_ind] <= replace:all;
A[leds_ind, 1] <= P[118](0x30,0x4F,0xFE), P[119](0x00,0xC8,53), P[120](0xDD,0x2C,0x00);
# Blue bottom
A[blue_foot] <= replace:all;
A[blue_foot, 1] <=
P[ 2](0x30,0x4F,0xFE),
P[ 4](0x30,0x4F,0xFE),
P[ 6](0x30,0x4F,0xFE),
P[ 8](0x30,0x4F,0xFE),
P[10](0x30,0x4F,0xFE),
P[12](0x30,0x4F,0xFE),
P[14](0x30,0x4F,0xFE),
P[16](0x30,0x4F,0xFE),
P[18](0x30,0x4F,0xFE),
P[20](0x30,0x4F,0xFE),
P[22](0x30,0x4F,0xFE),
P[24](0x30,0x4F,0xFE),
P[26](0x30,0x4F,0xFE),
P[28](0x30,0x4F,0xFE),
P[30](0x30,0x4F,0xFE),
P[32](0x30,0x4F,0xFE),
P[34](0x30,0x4F,0xFE),
P[36](0x30,0x4F,0xFE);
ISSI_FrameRate_ms = 30; # 1000 / = 100 fps
# Global Brightness Control
U"F1" : ledControl(2, 0);
U"F2" : ledControl(2, 25);
U"F3" : ledControl(2, 50);
U"F4" : ledControl(2, 75);
U"F5" : ledControl(2, 100); # 40% Brightness
U"F6" : ledControl(2, 125);
U"F7" : ledControl(2, 150); # 60% Brightness
U"F8" : ledControl(2, 175);
U"F9" : ledControl(2, 200);
U"F10" : ledControl(2, 225);
U"F11" : ledControl(2, 255);
U"Esc" : A[rainbow_wave](start);
U"F12" : A[rainbow_wave](stop);
U"1" : A[blue_foot](start);
U"2" : A[leds_ind](start);
U"Delete" : animation_control(3);
# Off
#A[off] <= pfunc:interp, repla
#A[off, 1] <= P[c:0%](0,0,0), P[c:100%](0,0,0);
#A[off_led] <= replace:all;
#A[off_led, 1] <= P[118](0,0,0), P[119](0,0,0), P[120](0,0,0);
# Rainbow wave
A[rainbow_wave] <= start, framedelay:0, framestretch, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
PK RKM:U( U( kll/layouts/kira/old.demo.1.kll# Animation Example Configuration
Name = "Demo 1";
Version = 1.0;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-11-09;
### Animations ###
# Rainbow wave
A[rainbow_wave] <= start, framedelay:3, framestretch, loop, replace:all, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[rainbow_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[rainbow_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[rainbow_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[rainbow_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[rainbow_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[rainbow_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[rainbow_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[rainbow_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[rainbow_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[rainbow_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[rainbow_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[rainbow_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[rainbow_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
PK SMenQ42 2 kll/layouts/kira/release.1.kll# Kira Release Animations and Default Map
Name = Kira;
Version = 0.2;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-10-13;
### Layer Combinations ###
U"RCtrl" + U"RShift" : Layer[1];
U"RCtrl" + U"RAlt" : Layer[2];
### Layer Fade Updates ###
Layer[1] : fade_layer_highlight(1);
Layer[2] : fade_layer_highlight(2);
### Default Animation ###
A[default_animation] <= start, loops:1, pfunc:interp, replace:clear;
A[default_animation, 1] <= P[1](0,0,0), P[128](0,0,0);
A[default_animation, 2] <= P[1](10,10,10), P[128](10,10,10);
A[default_animation, 3] <= P[1](20,20,20), P[128](20,20,20);
A[default_animation, 4] <= P[1](30,30,30), P[128](30,30,30);
A[default_animation, 5] <= P[1](40,40,40), P[128](40,40,40);
A[default_animation, 6] <= P[1](50,50,50), P[128](50,50,50);
A[default_animation, 7] <= P[1](60,60,60), P[128](60,60,60);
A[default_animation, 8] <= P[1](70,70,70), P[128](70,70,70);
A[default_animation, 9] <= P[1](80,80,80), P[128](80,80,80);
A[default_animation, 10] <= P[1](90,90,90), P[128](90,90,90);
A[default_animation, 11] <= P[1](100,100,100), P[128](100,100,100);
A[default_animation, 12] <= P[1](110,110,110), P[128](110,110,110);
A[default_animation, 13] <= P[1](120,120,120), P[128](120,120,120);
A[default_animation, 14] <= P[1](130,130,130), P[128](130,130,130);
A[default_animation, 15] <= P[1](140,140,140), P[128](140,140,140);
A[default_animation, 16] <= P[1](150,150,150), P[128](150,150,150);
A[default_animation, 17] <= P[1](160,160,160), P[128](160,160,160);
A[default_animation, 18] <= P[1](170,170,170), P[128](170,170,170);
A[default_animation, 19] <= P[1](180,180,180), P[128](180,180,180);
A[default_animation, 20] <= P[1](190,190,190), P[128](190,190,190);
A[default_animation, 21] <= P[1](200,200,200), P[128](200,200,200);
A[default_animation, 22] <= P[1](210,210,210), P[128](210,210,210);
A[default_animation, 23] <= P[1](220,220,220), P[128](220,220,220);
A[default_animation, 24] <= P[1](230,230,230), P[128](230,230,230);
A[default_animation, 25] <= P[1](240,240,240), P[128](240,240,240);
A[default_animation, 26] <= P[1](250,250,250), P[128](250,250,250);
A[default_animation, 27] <= P[1](255,255,255), P[128](255,255,255);
A[default_animation, 28] <= P[1](255,250,250), P[128](255,250,250);
A[default_animation, 29] <= P[1](255,240,240), P[128](255,240,240);
A[default_animation, 30] <= P[1](255,230,230), P[128](255,230,230);
A[default_animation, 31] <= P[1](255,220,220), P[128](255,220,220);
A[default_animation, 32] <= P[1](255,210,210), P[128](255,210,210);
A[default_animation, 33] <= P[1](255,200,200), P[128](255,200,200);
A[default_animation, 34] <= P[1](255,190,190), P[128](255,190,190);
A[default_animation, 35] <= P[1](255,180,180), P[128](255,180,180);
A[default_animation, 36] <= P[1](255,170,170), P[128](255,170,170);
A[default_animation, 37] <= P[1](255,160,160), P[128](255,160,160);
A[default_animation, 38] <= P[1](255,150,150), P[128](255,150,150);
A[default_animation, 39] <= P[1](255,140,140), P[128](255,140,140);
A[default_animation, 40] <= P[1](255,130,130), P[128](255,130,130);
A[default_animation, 41] <= P[1](255,120,120), P[128](255,120,120);
A[default_animation, 42] <= P[1](255,110,110), P[128](255,110,110);
A[default_animation, 43] <= P[1](255,100,100), P[128](255,100,100);
A[default_animation, 44] <= P[1](255,90,90), P[128](255,90,90);
A[default_animation, 45] <= P[1](255,88,80), P[128](255,88,80);
A[default_animation, 46] <= P[1](255,88,70), P[128](255,88,70);
A[default_animation, 47] <= P[1](255,88,60), P[128](255,88,60);
A[default_animation, 48] <= P[1](255,88,50), P[128](255,88,50);
A[default_animation, 49] <= P[1](255,88,40), P[128](255,88,40);
A[default_animation, 50] <= P[1](255,88,30), P[128](255,88,30);
A[default_animation, 51] <= P[1](255,88,20), P[128](255,88,20);
A[default_animation, 52] <= P[1](255,88,10), P[128](255,88,10);
A[default_animation, 53] <= P[1](255,88,0), P[128](255,88,0);
A[default_animation, 53] <= P[126-128](0,0,0); # Indicators
# Test Color (All-White)
A[all_white] <= loops:1, replace:clear, pfunc:interp;
A[all_white, 1] <= P[1](255,255,255), P[128](255,255,255);
### Wave Animations ###
# Miami wave
A[miami_wave] <= framedelay:3, framestretch, loop, replace:clear, pfunc:interp;
A[miami_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,255,255), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[miami_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,255,255), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[miami_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,255,255), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[miami_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,255,255), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[miami_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,255,255), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[miami_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,255,255), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[miami_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,255,255), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[miami_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,255,255), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[miami_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,255,255), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[miami_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,255,255), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[miami_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,255,255), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[miami_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,255,255), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[miami_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,255,255), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[miami_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,255,255), P[c:100%](127,0,255);
A[miami_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,255,255), P[c:102%](127,0,255);
A[miami_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,255,255), P[c:104%](127,0,255);
A[miami_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,255,255), P[c:106%](127,0,255);
A[miami_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,255,255), P[c:108%](127,0,255);
A[miami_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,255,255), P[c:110%](127,0,255);
A[miami_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,255,255), P[c:112%](127,0,255);
A[miami_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,255,255), P[c:114%](127,0,255);
A[miami_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,255,255), P[c:116%](127,0,255);
A[miami_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,255,255), P[c:118%](127,0,255);
A[miami_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,255,255), P[c:120%](127,0,255);
A[miami_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,255,255), P[c:122%](127,0,255);
A[miami_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,255,255), P[c:124%](127,0,255);
A[miami_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,255,255);
A[miami_wave, 29] <= P[c:-24%](255,255,255), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,255,255);
A[miami_wave, 30] <= P[c:-22%](255,255,255), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,255,255);
A[miami_wave, 31] <= P[c:-20%](255,255,255), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,255,255);
A[miami_wave, 32] <= P[c:-18%](255,255,255), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,255,255);
A[miami_wave, 33] <= P[c:-16%](255,255,255), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,255,255);
A[miami_wave, 34] <= P[c:-14%](255,255,255), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,255,255);
A[miami_wave, 35] <= P[c:-12%](255,255,255), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,255,255);
A[miami_wave, 36] <= P[c:-10%](255,255,255), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,255,255);
A[miami_wave, 37] <= P[c:-8%] (255,255,255), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,255,255);
A[miami_wave, 38] <= P[c:-6%] (255,255,255), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,255,255);
A[miami_wave, 39] <= P[c:-4%] (255,255,255), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,255,255);
A[miami_wave, 40] <= P[c:-2%] (255,255,255), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,255,255);
A[miami_wave, 41] <= P[c:0%] (255,255,255), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[miami_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,255,255), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[miami_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,255,255), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[miami_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,255,255), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[miami_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,255,255), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[miami_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,255,255), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[miami_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,255,255), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[miami_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,255,255), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[miami_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,255,255), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[miami_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,255,255), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[miami_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,255,255), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[miami_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,255,255), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[miami_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,255,255), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[miami_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,255,255), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[miami_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,255,255), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[miami_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,255,255), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[miami_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,255,255), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[miami_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,255,255), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[miami_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,255,255), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[miami_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,255,255), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[miami_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,255,255), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[miami_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,255,255), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[miami_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,255,255), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[miami_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,255,255), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[miami_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,255,255), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[miami_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,255,255), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
# Rainbow wave
A[rainbow_wave] <= framedelay:3, framestretch, loop, replace:clear, pfunc:interp;
A[rainbow_wave, 1] <= P[c:0%] (0,255,0), P[c:25%](255,255,0), P[c:50%](255,0,0), P[c:75%](127,0,255), P[c:100%](0,0,255);
A[rainbow_wave, 2] <= P[c:-24%](0,0,255), P[c:2%] (0,255,0), P[c:27%](255,255,0), P[c:52%](255,0,0), P[c:77%](127,0,255), P[c:102%](0,0,255);
A[rainbow_wave, 3] <= P[c:-22%](0,0,255), P[c:4%] (0,255,0), P[c:29%](255,255,0), P[c:54%](255,0,0), P[c:79%](127,0,255), P[c:104%](0,0,255);
A[rainbow_wave, 4] <= P[c:-20%](0,0,255), P[c:6%] (0,255,0), P[c:31%](255,255,0), P[c:56%](255,0,0), P[c:81%](127,0,255), P[c:106%](0,0,255);
A[rainbow_wave, 5] <= P[c:-18%](0,0,255), P[c:8%] (0,255,0), P[c:33%](255,255,0), P[c:58%](255,0,0), P[c:83%](127,0,255), P[c:108%](0,0,255);
A[rainbow_wave, 6] <= P[c:-16%](0,0,255), P[c:10%](0,255,0), P[c:35%](255,255,0), P[c:60%](255,0,0), P[c:85%](127,0,255), P[c:110%](0,0,255);
A[rainbow_wave, 7] <= P[c:-14%](0,0,255), P[c:12%](0,255,0), P[c:37%](255,255,0), P[c:62%](255,0,0), P[c:87%](127,0,255), P[c:112%](0,0,255);
A[rainbow_wave, 8] <= P[c:-12%](0,0,255), P[c:14%](0,255,0), P[c:39%](255,255,0), P[c:64%](255,0,0), P[c:89%](127,0,255), P[c:114%](0,0,255);
A[rainbow_wave, 9] <= P[c:-10%](0,0,255), P[c:16%](0,255,0), P[c:41%](255,255,0), P[c:66%](255,0,0), P[c:91%](127,0,255), P[c:116%](0,0,255);
A[rainbow_wave, 10] <= P[c:-8%] (0,0,255), P[c:18%](0,255,0), P[c:43%](255,255,0), P[c:68%](255,0,0), P[c:93%](127,0,255), P[c:118%](0,0,255);
A[rainbow_wave, 11] <= P[c:-6%] (0,0,255), P[c:20%](0,255,0), P[c:45%](255,255,0), P[c:70%](255,0,0), P[c:95%](127,0,255), P[c:120%](0,0,255);
A[rainbow_wave, 12] <= P[c:-4%] (0,0,255), P[c:22%](0,255,0), P[c:47%](255,255,0), P[c:72%](255,0,0), P[c:97%](127,0,255), P[c:122%](0,0,255);
A[rainbow_wave, 13] <= P[c:-2%] (0,0,255), P[c:24%](0,255,0), P[c:49%](255,255,0), P[c:74%](255,0,0), P[c:99%](127,0,255), P[c:124%](0,0,255);
A[rainbow_wave, 14] <= P[c:0%] (0,0,255), P[c:25%](0,255,0), P[c:50%](255,255,0), P[c:75%](255,0,0), P[c:100%](127,0,255);
A[rainbow_wave, 15] <= P[c:-24%](127,0,255), P[c:2%] (0,0,255), P[c:27%](0,255,0), P[c:52%](255,255,0), P[c:77%](255,0,0), P[c:102%](127,0,255);
A[rainbow_wave, 16] <= P[c:-22%](127,0,255), P[c:4%] (0,0,255), P[c:29%](0,255,0), P[c:54%](255,255,0), P[c:79%](255,0,0), P[c:104%](127,0,255);
A[rainbow_wave, 17] <= P[c:-20%](127,0,255), P[c:6%] (0,0,255), P[c:31%](0,255,0), P[c:56%](255,255,0), P[c:81%](255,0,0), P[c:106%](127,0,255);
A[rainbow_wave, 18] <= P[c:-18%](127,0,255), P[c:8%] (0,0,255), P[c:33%](0,255,0), P[c:58%](255,255,0), P[c:83%](255,0,0), P[c:108%](127,0,255);
A[rainbow_wave, 19] <= P[c:-16%](127,0,255), P[c:10%](0,0,255), P[c:35%](0,255,0), P[c:60%](255,255,0), P[c:85%](255,0,0), P[c:110%](127,0,255);
A[rainbow_wave, 20] <= P[c:-14%](127,0,255), P[c:12%](0,0,255), P[c:37%](0,255,0), P[c:62%](255,255,0), P[c:87%](255,0,0), P[c:112%](127,0,255);
A[rainbow_wave, 21] <= P[c:-12%](127,0,255), P[c:14%](0,0,255), P[c:39%](0,255,0), P[c:64%](255,255,0), P[c:89%](255,0,0), P[c:114%](127,0,255);
A[rainbow_wave, 22] <= P[c:-10%](127,0,255), P[c:16%](0,0,255), P[c:41%](0,255,0), P[c:66%](255,255,0), P[c:91%](255,0,0), P[c:116%](127,0,255);
A[rainbow_wave, 23] <= P[c:-8%] (127,0,255), P[c:18%](0,0,255), P[c:43%](0,255,0), P[c:68%](255,255,0), P[c:93%](255,0,0), P[c:118%](127,0,255);
A[rainbow_wave, 24] <= P[c:-6%] (127,0,255), P[c:20%](0,0,255), P[c:45%](0,255,0), P[c:70%](255,255,0), P[c:95%](255,0,0), P[c:120%](127,0,255);
A[rainbow_wave, 25] <= P[c:-4%] (127,0,255), P[c:22%](0,0,255), P[c:47%](0,255,0), P[c:72%](255,255,0), P[c:97%](255,0,0), P[c:122%](127,0,255);
A[rainbow_wave, 26] <= P[c:-2%] (127,0,255), P[c:24%](0,0,255), P[c:49%](0,255,0), P[c:74%](255,255,0), P[c:99%](255,0,0), P[c:124%](127,0,255);
A[rainbow_wave, 28] <= P[c:0%] (127,0,255), P[c:25%](0,0,255), P[c:50%](0,255,0), P[c:75%](255,255,0), P[c:100%](255,0,0);
A[rainbow_wave, 29] <= P[c:-24%](255,0,0), P[c:2%] (127,0,255), P[c:27%](0,0,255), P[c:52%](0,255,0), P[c:77%](255,255,0), P[c:102%](255,0,0);
A[rainbow_wave, 30] <= P[c:-22%](255,0,0), P[c:4%] (127,0,255), P[c:29%](0,0,255), P[c:54%](0,255,0), P[c:79%](255,255,0), P[c:104%](255,0,0);
A[rainbow_wave, 31] <= P[c:-20%](255,0,0), P[c:6%] (127,0,255), P[c:31%](0,0,255), P[c:56%](0,255,0), P[c:81%](255,255,0), P[c:106%](255,0,0);
A[rainbow_wave, 32] <= P[c:-18%](255,0,0), P[c:8%] (127,0,255), P[c:33%](0,0,255), P[c:58%](0,255,0), P[c:83%](255,255,0), P[c:108%](255,0,0);
A[rainbow_wave, 33] <= P[c:-16%](255,0,0), P[c:10%](127,0,255), P[c:35%](0,0,255), P[c:60%](0,255,0), P[c:85%](255,255,0), P[c:110%](255,0,0);
A[rainbow_wave, 34] <= P[c:-14%](255,0,0), P[c:12%](127,0,255), P[c:37%](0,0,255), P[c:62%](0,255,0), P[c:87%](255,255,0), P[c:112%](255,0,0);
A[rainbow_wave, 35] <= P[c:-12%](255,0,0), P[c:14%](127,0,255), P[c:39%](0,0,255), P[c:64%](0,255,0), P[c:89%](255,255,0), P[c:114%](255,0,0);
A[rainbow_wave, 36] <= P[c:-10%](255,0,0), P[c:16%](127,0,255), P[c:41%](0,0,255), P[c:66%](0,255,0), P[c:91%](255,255,0), P[c:116%](255,0,0);
A[rainbow_wave, 37] <= P[c:-8%] (255,0,0), P[c:18%](127,0,255), P[c:43%](0,0,255), P[c:68%](0,255,0), P[c:93%](255,255,0), P[c:118%](255,0,0);
A[rainbow_wave, 38] <= P[c:-6%] (255,0,0), P[c:20%](127,0,255), P[c:45%](0,0,255), P[c:70%](0,255,0), P[c:95%](255,255,0), P[c:120%](255,0,0);
A[rainbow_wave, 39] <= P[c:-4%] (255,0,0), P[c:22%](127,0,255), P[c:47%](0,0,255), P[c:72%](0,255,0), P[c:97%](255,255,0), P[c:122%](255,0,0);
A[rainbow_wave, 40] <= P[c:-2%] (255,0,0), P[c:24%](127,0,255), P[c:49%](0,0,255), P[c:74%](0,255,0), P[c:99%](255,255,0), P[c:124%](255,0,0);
A[rainbow_wave, 41] <= P[c:0%] (255,0,0), P[c:25%](127,0,255), P[c:50%](0,0,255), P[c:75%](0,255,0), P[c:100%](255,255,0);
A[rainbow_wave, 42] <= P[c:-24%](255,255,0), P[c:2%] (255,0,0), P[c:27%](127,0,255), P[c:52%](0,0,255), P[c:77%](0,255,0), P[c:102%](255,255,0);
A[rainbow_wave, 43] <= P[c:-22%](255,255,0), P[c:4%] (255,0,0), P[c:29%](127,0,255), P[c:54%](0,0,255), P[c:79%](0,255,0), P[c:104%](255,255,0);
A[rainbow_wave, 44] <= P[c:-20%](255,255,0), P[c:6%] (255,0,0), P[c:31%](127,0,255), P[c:56%](0,0,255), P[c:81%](0,255,0), P[c:106%](255,255,0);
A[rainbow_wave, 45] <= P[c:-18%](255,255,0), P[c:8%] (255,0,0), P[c:33%](127,0,255), P[c:58%](0,0,255), P[c:83%](0,255,0), P[c:108%](255,255,0);
A[rainbow_wave, 46] <= P[c:-16%](255,255,0), P[c:10%](255,0,0), P[c:35%](127,0,255), P[c:60%](0,0,255), P[c:85%](0,255,0), P[c:110%](255,255,0);
A[rainbow_wave, 47] <= P[c:-14%](255,255,0), P[c:12%](255,0,0), P[c:37%](127,0,255), P[c:62%](0,0,255), P[c:87%](0,255,0), P[c:112%](255,255,0);
A[rainbow_wave, 48] <= P[c:-12%](255,255,0), P[c:14%](255,0,0), P[c:39%](127,0,255), P[c:64%](0,0,255), P[c:89%](0,255,0), P[c:114%](255,255,0);
A[rainbow_wave, 49] <= P[c:-10%](255,255,0), P[c:16%](255,0,0), P[c:41%](127,0,255), P[c:66%](0,0,255), P[c:91%](0,255,0), P[c:116%](255,255,0);
A[rainbow_wave, 50] <= P[c:-8%] (255,255,0), P[c:18%](255,0,0), P[c:43%](127,0,255), P[c:68%](0,0,255), P[c:93%](0,255,0), P[c:118%](255,255,0);
A[rainbow_wave, 51] <= P[c:-6%] (255,255,0), P[c:20%](255,0,0), P[c:45%](127,0,255), P[c:70%](0,0,255), P[c:95%](0,255,0), P[c:120%](255,255,0);
A[rainbow_wave, 52] <= P[c:-4%] (255,255,0), P[c:22%](255,0,0), P[c:47%](127,0,255), P[c:72%](0,0,255), P[c:97%](0,255,0), P[c:122%](255,255,0);
A[rainbow_wave, 53] <= P[c:-2%] (255,255,0), P[c:24%](255,0,0), P[c:49%](127,0,255), P[c:74%](0,0,255), P[c:99%](0,255,0), P[c:124%](255,255,0);
A[rainbow_wave, 54] <= P[c:0%] (255,255,0), P[c:25%](255,0,0), P[c:50%](127,0,255), P[c:75%](0,0,255), P[c:100%](0,255,0);
A[rainbow_wave, 55] <= P[c:-24%](0,255,0), P[c:2%] (255,255,0), P[c:27%](255,0,0), P[c:52%](127,0,255), P[c:77%](0,0,255), P[c:102%](0,255,0);
A[rainbow_wave, 56] <= P[c:-22%](0,255,0), P[c:4%] (255,255,0), P[c:29%](255,0,0), P[c:54%](127,0,255), P[c:79%](0,0,255), P[c:104%](0,255,0);
A[rainbow_wave, 57] <= P[c:-20%](0,255,0), P[c:6%] (255,255,0), P[c:31%](255,0,0), P[c:56%](127,0,255), P[c:81%](0,0,255), P[c:106%](0,255,0);
A[rainbow_wave, 58] <= P[c:-18%](0,255,0), P[c:8%] (255,255,0), P[c:33%](255,0,0), P[c:58%](127,0,255), P[c:83%](0,0,255), P[c:108%](0,255,0);
A[rainbow_wave, 59] <= P[c:-16%](0,255,0), P[c:10%](255,255,0), P[c:35%](255,0,0), P[c:60%](127,0,255), P[c:85%](0,0,255), P[c:110%](0,255,0);
A[rainbow_wave, 60] <= P[c:-14%](0,255,0), P[c:12%](255,255,0), P[c:37%](255,0,0), P[c:62%](127,0,255), P[c:87%](0,0,255), P[c:112%](0,255,0);
A[rainbow_wave, 61] <= P[c:-12%](0,255,0), P[c:14%](255,255,0), P[c:39%](255,0,0), P[c:64%](127,0,255), P[c:89%](0,0,255), P[c:114%](0,255,0);
A[rainbow_wave, 62] <= P[c:-10%](0,255,0), P[c:16%](255,255,0), P[c:41%](255,0,0), P[c:66%](127,0,255), P[c:91%](0,0,255), P[c:116%](0,255,0);
A[rainbow_wave, 63] <= P[c:-8%] (0,255,0), P[c:18%](255,255,0), P[c:43%](255,0,0), P[c:68%](127,0,255), P[c:93%](0,0,255), P[c:118%](0,255,0);
A[rainbow_wave, 64] <= P[c:-6%] (0,255,0), P[c:20%](255,255,0), P[c:45%](255,0,0), P[c:70%](127,0,255), P[c:95%](0,0,255), P[c:120%](0,255,0);
A[rainbow_wave, 65] <= P[c:-4%] (0,255,0), P[c:22%](255,255,0), P[c:47%](255,0,0), P[c:72%](127,0,255), P[c:97%](0,0,255), P[c:122%](0,255,0);
A[rainbow_wave, 66] <= P[c:-2%] (0,255,0), P[c:24%](255,255,0), P[c:49%](255,0,0), P[c:74%](127,0,255), P[c:99%](0,0,255), P[c:124%](0,255,0);
# Pastel Rainbow
A[pastel_wave] <= framedelay:3, framestretch, loop, replace:clear, pfunc:interp;
A[pastel_wave, 1] <= P[c:0%] (40,255,40), P[c:25%](255,255,40), P[c:50%](255,40,40), P[c:75%](127,40,255), P[c:100%](40,40,255);
A[pastel_wave, 2] <= P[c:-24%](40,40,255), P[c:2%] (40,255,40), P[c:27%](255,255,40), P[c:52%](255,40,40), P[c:77%](127,40,255), P[c:102%](40,40,255);
A[pastel_wave, 3] <= P[c:-22%](40,40,255), P[c:4%] (40,255,40), P[c:29%](255,255,40), P[c:54%](255,40,40), P[c:79%](127,40,255), P[c:104%](40,40,255);
A[pastel_wave, 4] <= P[c:-20%](40,40,255), P[c:6%] (40,255,40), P[c:31%](255,255,40), P[c:56%](255,40,40), P[c:81%](127,40,255), P[c:106%](40,40,255);
A[pastel_wave, 5] <= P[c:-18%](40,40,255), P[c:8%] (40,255,40), P[c:33%](255,255,40), P[c:58%](255,40,40), P[c:83%](127,40,255), P[c:108%](40,40,255);
A[pastel_wave, 6] <= P[c:-16%](40,40,255), P[c:10%](40,255,40), P[c:35%](255,255,40), P[c:60%](255,40,40), P[c:85%](127,40,255), P[c:110%](40,40,255);
A[pastel_wave, 7] <= P[c:-14%](40,40,255), P[c:12%](40,255,40), P[c:37%](255,255,40), P[c:62%](255,40,40), P[c:87%](127,40,255), P[c:112%](40,40,255);
A[pastel_wave, 8] <= P[c:-12%](40,40,255), P[c:14%](40,255,40), P[c:39%](255,255,40), P[c:64%](255,40,40), P[c:89%](127,40,255), P[c:114%](40,40,255);
A[pastel_wave, 9] <= P[c:-10%](40,40,255), P[c:16%](40,255,40), P[c:41%](255,255,40), P[c:66%](255,40,40), P[c:91%](127,40,255), P[c:116%](40,40,255);
A[pastel_wave, 10] <= P[c:-8%] (40,40,255), P[c:18%](40,255,40), P[c:43%](255,255,40), P[c:68%](255,40,40), P[c:93%](127,40,255), P[c:118%](40,40,255);
A[pastel_wave, 11] <= P[c:-6%] (40,40,255), P[c:20%](40,255,40), P[c:45%](255,255,40), P[c:70%](255,40,40), P[c:95%](127,40,255), P[c:120%](40,40,255);
A[pastel_wave, 12] <= P[c:-4%] (40,40,255), P[c:22%](40,255,40), P[c:47%](255,255,40), P[c:72%](255,40,40), P[c:97%](127,40,255), P[c:122%](40,40,255);
A[pastel_wave, 13] <= P[c:-2%] (40,40,255), P[c:24%](40,255,40), P[c:49%](255,255,40), P[c:74%](255,40,40), P[c:99%](127,40,255), P[c:124%](40,40,255);
A[pastel_wave, 14] <= P[c:0%] (40,40,255), P[c:25%](40,255,40), P[c:50%](255,255,40), P[c:75%](255,40,40), P[c:100%](127,40,255);
A[pastel_wave, 15] <= P[c:-24%](127,40,255), P[c:2%] (40,40,255), P[c:27%](40,255,40), P[c:52%](255,255,40), P[c:77%](255,40,40), P[c:102%](127,40,255);
A[pastel_wave, 16] <= P[c:-22%](127,40,255), P[c:4%] (40,40,255), P[c:29%](40,255,40), P[c:54%](255,255,40), P[c:79%](255,40,40), P[c:104%](127,40,255);
A[pastel_wave, 17] <= P[c:-20%](127,40,255), P[c:6%] (40,40,255), P[c:31%](40,255,40), P[c:56%](255,255,40), P[c:81%](255,40,40), P[c:106%](127,40,255);
A[pastel_wave, 18] <= P[c:-18%](127,40,255), P[c:8%] (40,40,255), P[c:33%](40,255,40), P[c:58%](255,255,40), P[c:83%](255,40,40), P[c:108%](127,40,255);
A[pastel_wave, 19] <= P[c:-16%](127,40,255), P[c:10%](40,40,255), P[c:35%](40,255,40), P[c:60%](255,255,40), P[c:85%](255,40,40), P[c:110%](127,40,255);
A[pastel_wave, 20] <= P[c:-14%](127,40,255), P[c:12%](40,40,255), P[c:37%](40,255,40), P[c:62%](255,255,40), P[c:87%](255,40,40), P[c:112%](127,40,255);
A[pastel_wave, 21] <= P[c:-12%](127,40,255), P[c:14%](40,40,255), P[c:39%](40,255,40), P[c:64%](255,255,40), P[c:89%](255,40,40), P[c:114%](127,40,255);
A[pastel_wave, 22] <= P[c:-10%](127,40,255), P[c:16%](40,40,255), P[c:41%](40,255,40), P[c:66%](255,255,40), P[c:91%](255,40,40), P[c:116%](127,40,255);
A[pastel_wave, 23] <= P[c:-8%] (127,40,255), P[c:18%](40,40,255), P[c:43%](40,255,40), P[c:68%](255,255,40), P[c:93%](255,40,40), P[c:118%](127,40,255);
A[pastel_wave, 24] <= P[c:-6%] (127,40,255), P[c:20%](40,40,255), P[c:45%](40,255,40), P[c:70%](255,255,40), P[c:95%](255,40,40), P[c:120%](127,40,255);
A[pastel_wave, 25] <= P[c:-4%] (127,40,255), P[c:22%](40,40,255), P[c:47%](40,255,40), P[c:72%](255,255,40), P[c:97%](255,40,40), P[c:122%](127,40,255);
A[pastel_wave, 26] <= P[c:-2%] (127,40,255), P[c:24%](40,40,255), P[c:49%](40,255,40), P[c:74%](255,255,40), P[c:99%](255,40,40), P[c:124%](127,40,255);
A[pastel_wave, 28] <= P[c:0%] (127,40,255), P[c:25%](40,40,255), P[c:50%](40,255,40), P[c:75%](255,255,40), P[c:100%](255,40,40);
A[pastel_wave, 29] <= P[c:-24%](255,40,40), P[c:2%] (127,40,255), P[c:27%](40,40,255), P[c:52%](40,255,40), P[c:77%](255,255,40), P[c:102%](255,40,40);
A[pastel_wave, 30] <= P[c:-22%](255,40,40), P[c:4%] (127,40,255), P[c:29%](40,40,255), P[c:54%](40,255,40), P[c:79%](255,255,40), P[c:104%](255,40,40);
A[pastel_wave, 31] <= P[c:-20%](255,40,40), P[c:6%] (127,40,255), P[c:31%](40,40,255), P[c:56%](40,255,40), P[c:81%](255,255,40), P[c:106%](255,40,40);
A[pastel_wave, 32] <= P[c:-18%](255,40,40), P[c:8%] (127,40,255), P[c:33%](40,40,255), P[c:58%](40,255,40), P[c:83%](255,255,40), P[c:108%](255,40,40);
A[pastel_wave, 33] <= P[c:-16%](255,40,40), P[c:10%](127,40,255), P[c:35%](40,40,255), P[c:60%](40,255,40), P[c:85%](255,255,40), P[c:110%](255,40,40);
A[pastel_wave, 34] <= P[c:-14%](255,40,40), P[c:12%](127,40,255), P[c:37%](40,40,255), P[c:62%](40,255,40), P[c:87%](255,255,40), P[c:112%](255,40,40);
A[pastel_wave, 35] <= P[c:-12%](255,40,40), P[c:14%](127,40,255), P[c:39%](40,40,255), P[c:64%](40,255,40), P[c:89%](255,255,40), P[c:114%](255,40,40);
A[pastel_wave, 36] <= P[c:-10%](255,40,40), P[c:16%](127,40,255), P[c:41%](40,40,255), P[c:66%](40,255,40), P[c:91%](255,255,40), P[c:116%](255,40,40);
A[pastel_wave, 37] <= P[c:-8%] (255,40,40), P[c:18%](127,40,255), P[c:43%](40,40,255), P[c:68%](40,255,40), P[c:93%](255,255,40), P[c:118%](255,40,40);
A[pastel_wave, 38] <= P[c:-6%] (255,40,40), P[c:20%](127,40,255), P[c:45%](40,40,255), P[c:70%](40,255,40), P[c:95%](255,255,40), P[c:120%](255,40,40);
A[pastel_wave, 39] <= P[c:-4%] (255,40,40), P[c:22%](127,40,255), P[c:47%](40,40,255), P[c:72%](40,255,40), P[c:97%](255,255,40), P[c:122%](255,40,40);
A[pastel_wave, 40] <= P[c:-2%] (255,40,40), P[c:24%](127,40,255), P[c:49%](40,40,255), P[c:74%](40,255,40), P[c:99%](255,255,40), P[c:124%](255,40,40);
A[pastel_wave, 41] <= P[c:0%] (255,40,40), P[c:25%](127,40,255), P[c:50%](40,40,255), P[c:75%](40,255,40), P[c:100%](255,255,40);
A[pastel_wave, 42] <= P[c:-24%](255,255,40), P[c:2%] (255,40,40), P[c:27%](127,40,255), P[c:52%](40,40,255), P[c:77%](40,255,40), P[c:102%](255,255,40);
A[pastel_wave, 43] <= P[c:-22%](255,255,40), P[c:4%] (255,40,40), P[c:29%](127,40,255), P[c:54%](40,40,255), P[c:79%](40,255,40), P[c:104%](255,255,40);
A[pastel_wave, 44] <= P[c:-20%](255,255,40), P[c:6%] (255,40,40), P[c:31%](127,40,255), P[c:56%](40,40,255), P[c:81%](40,255,40), P[c:106%](255,255,40);
A[pastel_wave, 45] <= P[c:-18%](255,255,40), P[c:8%] (255,40,40), P[c:33%](127,40,255), P[c:58%](40,40,255), P[c:83%](40,255,40), P[c:108%](255,255,40);
A[pastel_wave, 46] <= P[c:-16%](255,255,40), P[c:10%](255,40,40), P[c:35%](127,40,255), P[c:60%](40,40,255), P[c:85%](40,255,40), P[c:110%](255,255,40);
A[pastel_wave, 47] <= P[c:-14%](255,255,40), P[c:12%](255,40,40), P[c:37%](127,40,255), P[c:62%](40,40,255), P[c:87%](40,255,40), P[c:112%](255,255,40);
A[pastel_wave, 48] <= P[c:-12%](255,255,40), P[c:14%](255,40,40), P[c:39%](127,40,255), P[c:64%](40,40,255), P[c:89%](40,255,40), P[c:114%](255,255,40);
A[pastel_wave, 49] <= P[c:-10%](255,255,40), P[c:16%](255,40,40), P[c:41%](127,40,255), P[c:66%](40,40,255), P[c:91%](40,255,40), P[c:116%](255,255,40);
A[pastel_wave, 50] <= P[c:-8%] (255,255,40), P[c:18%](255,40,40), P[c:43%](127,40,255), P[c:68%](40,40,255), P[c:93%](40,255,40), P[c:118%](255,255,40);
A[pastel_wave, 51] <= P[c:-6%] (255,255,40), P[c:20%](255,40,40), P[c:45%](127,40,255), P[c:70%](40,40,255), P[c:95%](40,255,40), P[c:120%](255,255,40);
A[pastel_wave, 52] <= P[c:-4%] (255,255,40), P[c:22%](255,40,40), P[c:47%](127,40,255), P[c:72%](40,40,255), P[c:97%](40,255,40), P[c:122%](255,255,40);
A[pastel_wave, 53] <= P[c:-2%] (255,255,40), P[c:24%](255,40,40), P[c:49%](127,40,255), P[c:74%](40,40,255), P[c:99%](40,255,40), P[c:124%](255,255,40);
A[pastel_wave, 54] <= P[c:0%] (255,255,40), P[c:25%](255,40,40), P[c:50%](127,40,255), P[c:75%](40,40,255), P[c:100%](40,255,40);
A[pastel_wave, 55] <= P[c:-24%](40,255,40), P[c:2%] (255,255,40), P[c:27%](255,40,40), P[c:52%](127,40,255), P[c:77%](40,40,255), P[c:102%](40,255,40);
A[pastel_wave, 56] <= P[c:-22%](40,255,40), P[c:4%] (255,255,40), P[c:29%](255,40,40), P[c:54%](127,40,255), P[c:79%](40,40,255), P[c:104%](40,255,40);
A[pastel_wave, 57] <= P[c:-20%](40,255,40), P[c:6%] (255,255,40), P[c:31%](255,40,40), P[c:56%](127,40,255), P[c:81%](40,40,255), P[c:106%](40,255,40);
A[pastel_wave, 58] <= P[c:-18%](40,255,40), P[c:8%] (255,255,40), P[c:33%](255,40,40), P[c:58%](127,40,255), P[c:83%](40,40,255), P[c:108%](40,255,40);
A[pastel_wave, 59] <= P[c:-16%](40,255,40), P[c:10%](255,255,40), P[c:35%](255,40,40), P[c:60%](127,40,255), P[c:85%](40,40,255), P[c:110%](40,255,40);
A[pastel_wave, 60] <= P[c:-14%](40,255,40), P[c:12%](255,255,40), P[c:37%](255,40,40), P[c:62%](127,40,255), P[c:87%](40,40,255), P[c:112%](40,255,40);
A[pastel_wave, 61] <= P[c:-12%](40,255,40), P[c:14%](255,255,40), P[c:39%](255,40,40), P[c:64%](127,40,255), P[c:89%](40,40,255), P[c:114%](40,255,40);
A[pastel_wave, 62] <= P[c:-10%](40,255,40), P[c:16%](255,255,40), P[c:41%](255,40,40), P[c:66%](127,40,255), P[c:91%](40,40,255), P[c:116%](40,255,40);
A[pastel_wave, 63] <= P[c:-8%] (40,255,40), P[c:18%](255,255,40), P[c:43%](255,40,40), P[c:68%](127,40,255), P[c:93%](40,40,255), P[c:118%](40,255,40);
A[pastel_wave, 64] <= P[c:-6%] (40,255,40), P[c:20%](255,255,40), P[c:45%](255,40,40), P[c:70%](127,40,255), P[c:95%](40,40,255), P[c:120%](40,255,40);
A[pastel_wave, 65] <= P[c:-4%] (40,255,40), P[c:22%](255,255,40), P[c:47%](255,40,40), P[c:72%](127,40,255), P[c:97%](40,40,255), P[c:122%](40,255,40);
A[pastel_wave, 66] <= P[c:-2%] (40,255,40), P[c:24%](255,255,40), P[c:49%](255,40,40), P[c:74%](127,40,255), P[c:99%](40,40,255), P[c:124%](40,255,40);
# Kira Wave
A[kira_wave] <= framedelay:3, framestretch, loop, replace:clear, pfunc:interp;
# Orange, Magneta, Purple, Blue
A[kira_wave, 1] <= P[c:0%] (255,80,0), P[c:33%](239,10,129), P[c:66%](129,10,239), P[c:100%](10,60,255);
A[kira_wave, 2] <= P[c:-31%](10,60,255), P[c:2%] (255,80,0), P[c:36%](239,10,129), P[c:68%](129,10,239), P[c:102%](10,60,255);
A[kira_wave, 3] <= P[c:-29%](10,60,255), P[c:4%] (255,80,0), P[c:38%](239,10,129), P[c:70%](129,10,239), P[c:104%](10,60,255);
A[kira_wave, 4] <= P[c:-27%](10,60,255), P[c:6%] (255,80,0), P[c:40%](239,10,129), P[c:72%](129,10,239), P[c:106%](10,60,255);
A[kira_wave, 5] <= P[c:-25%](10,60,255), P[c:8%] (255,80,0), P[c:42%](239,10,129), P[c:74%](129,10,239), P[c:108%](10,60,255);
A[kira_wave, 6] <= P[c:-23%](10,60,255), P[c:10%](255,80,0), P[c:44%](239,10,129), P[c:76%](129,10,239), P[c:110%](10,60,255);
A[kira_wave, 7] <= P[c:-21%](10,60,255), P[c:12%](255,80,0), P[c:46%](239,10,129), P[c:78%](129,10,239), P[c:112%](10,60,255);
A[kira_wave, 8] <= P[c:-19%](10,60,255), P[c:14%](255,80,0), P[c:48%](239,10,129), P[c:80%](129,10,239), P[c:114%](10,60,255);
A[kira_wave, 9] <= P[c:-17%](10,60,255), P[c:16%](255,80,0), P[c:50%](239,10,129), P[c:82%](129,10,239), P[c:116%](10,60,255);
A[kira_wave, 10] <= P[c:-15%](10,60,255), P[c:18%](255,80,0), P[c:52%](239,10,129), P[c:84%](129,10,239), P[c:118%](10,60,255);
A[kira_wave, 11] <= P[c:-13%](10,60,255), P[c:20%](255,80,0), P[c:54%](239,10,129), P[c:86%](129,10,239), P[c:120%](10,60,255);
A[kira_wave, 12] <= P[c:-11%](10,60,255), P[c:22%](255,80,0), P[c:56%](239,10,129), P[c:88%](129,10,239), P[c:122%](10,60,255);
A[kira_wave, 13] <= P[c:-9%] (10,60,255), P[c:24%](255,80,0), P[c:58%](239,10,129), P[c:90%](129,10,239), P[c:124%](10,60,255);
A[kira_wave, 14] <= P[c:-7%] (10,60,255), P[c:26%](255,80,0), P[c:60%](239,10,129), P[c:92%](129,10,239), P[c:126%](10,60,255);
A[kira_wave, 15] <= P[c:-5%] (10,60,255), P[c:28%](255,80,0), P[c:62%](239,10,129), P[c:94%](129,10,239), P[c:128%](10,60,255);
A[kira_wave, 16] <= P[c:-3%] (10,60,255), P[c:30%](255,80,0), P[c:64%](239,10,129), P[c:96%](129,10,239), P[c:130%](10,60,255);
A[kira_wave, 17] <= P[c:0%] (10,60,255), P[c:33%](255,80,0), P[c:66%](239,10,129), P[c:100%](129,10,239);
A[kira_wave, 18] <= P[c:-31%](129,10,239), P[c:2%] (10,60,255), P[c:36%](255,80,0), P[c:68%](239,10,129), P[c:102%](129,10,239);
A[kira_wave, 19] <= P[c:-29%](129,10,239), P[c:4%] (10,60,255), P[c:38%](255,80,0), P[c:70%](239,10,129), P[c:104%](129,10,239);
A[kira_wave, 20] <= P[c:-27%](129,10,239), P[c:6%] (10,60,255), P[c:40%](255,80,0), P[c:72%](239,10,129), P[c:106%](129,10,239);
A[kira_wave, 21] <= P[c:-25%](129,10,239), P[c:8%] (10,60,255), P[c:42%](255,80,0), P[c:74%](239,10,129), P[c:108%](129,10,239);
A[kira_wave, 22] <= P[c:-23%](129,10,239), P[c:10%](10,60,255), P[c:44%](255,80,0), P[c:76%](239,10,129), P[c:110%](129,10,239);
A[kira_wave, 23] <= P[c:-21%](129,10,239), P[c:12%](10,60,255), P[c:46%](255,80,0), P[c:78%](239,10,129), P[c:112%](129,10,239);
A[kira_wave, 24] <= P[c:-19%](129,10,239), P[c:14%](10,60,255), P[c:48%](255,80,0), P[c:80%](239,10,129), P[c:114%](129,10,239);
A[kira_wave, 25] <= P[c:-17%](129,10,239), P[c:16%](10,60,255), P[c:50%](255,80,0), P[c:82%](239,10,129), P[c:116%](129,10,239);
A[kira_wave, 26] <= P[c:-15%](129,10,239), P[c:18%](10,60,255), P[c:52%](255,80,0), P[c:84%](239,10,129), P[c:118%](129,10,239);
A[kira_wave, 27] <= P[c:-13%](129,10,239), P[c:20%](10,60,255), P[c:54%](255,80,0), P[c:86%](239,10,129), P[c:120%](129,10,239);
A[kira_wave, 28] <= P[c:-11%](129,10,239), P[c:22%](10,60,255), P[c:56%](255,80,0), P[c:88%](239,10,129), P[c:122%](129,10,239);
A[kira_wave, 29] <= P[c:-9%] (129,10,239), P[c:24%](10,60,255), P[c:58%](255,80,0), P[c:90%](239,10,129), P[c:124%](129,10,239);
A[kira_wave, 30] <= P[c:-7%] (129,10,239), P[c:26%](10,60,255), P[c:60%](255,80,0), P[c:92%](239,10,129), P[c:126%](129,10,239);
A[kira_wave, 31] <= P[c:-5%] (129,10,239), P[c:28%](10,60,255), P[c:62%](255,80,0), P[c:94%](239,10,129), P[c:128%](129,10,239);
A[kira_wave, 32] <= P[c:-3%] (129,10,239), P[c:30%](10,60,255), P[c:64%](255,80,0), P[c:96%](239,10,129), P[c:130%](129,10,239);
A[kira_wave, 33] <= P[c:0%] (129,10,239), P[c:33%](10,60,255), P[c:66%](255,80,0), P[c:100%](239,10,129);
A[kira_wave, 34] <= P[c:-31%](239,10,129), P[c:2%] (129,10,239), P[c:36%](10,60,255), P[c:68%](255,80,0), P[c:102%](239,10,129);
A[kira_wave, 35] <= P[c:-29%](239,10,129), P[c:4%] (129,10,239), P[c:38%](10,60,255), P[c:70%](255,80,0), P[c:104%](239,10,129);
A[kira_wave, 36] <= P[c:-27%](239,10,129), P[c:6%] (129,10,239), P[c:40%](10,60,255), P[c:72%](255,80,0), P[c:106%](239,10,129);
A[kira_wave, 37] <= P[c:-25%](239,10,129), P[c:8%] (129,10,239), P[c:42%](10,60,255), P[c:74%](255,80,0), P[c:108%](239,10,129);
A[kira_wave, 38] <= P[c:-23%](239,10,129), P[c:10%](129,10,239), P[c:44%](10,60,255), P[c:76%](255,80,0), P[c:110%](239,10,129);
A[kira_wave, 39] <= P[c:-21%](239,10,129), P[c:12%](129,10,239), P[c:46%](10,60,255), P[c:78%](255,80,0), P[c:112%](239,10,129);
A[kira_wave, 40] <= P[c:-19%](239,10,129), P[c:14%](129,10,239), P[c:48%](10,60,255), P[c:80%](255,80,0), P[c:114%](239,10,129);
A[kira_wave, 41] <= P[c:-17%](239,10,129), P[c:16%](129,10,239), P[c:50%](10,60,255), P[c:82%](255,80,0), P[c:116%](239,10,129);
A[kira_wave, 42] <= P[c:-15%](239,10,129), P[c:18%](129,10,239), P[c:52%](10,60,255), P[c:84%](255,80,0), P[c:118%](239,10,129);
A[kira_wave, 43] <= P[c:-13%](239,10,129), P[c:20%](129,10,239), P[c:54%](10,60,255), P[c:86%](255,80,0), P[c:120%](239,10,129);
A[kira_wave, 44] <= P[c:-11%](239,10,129), P[c:22%](129,10,239), P[c:56%](10,60,255), P[c:88%](255,80,0), P[c:122%](239,10,129);
A[kira_wave, 45] <= P[c:-9%] (239,10,129), P[c:24%](129,10,239), P[c:58%](10,60,255), P[c:90%](255,80,0), P[c:124%](239,10,129);
A[kira_wave, 46] <= P[c:-7%] (239,10,129), P[c:26%](129,10,239), P[c:60%](10,60,255), P[c:92%](255,80,0), P[c:126%](239,10,129);
A[kira_wave, 47] <= P[c:-5%] (239,10,129), P[c:28%](129,10,239), P[c:62%](10,60,255), P[c:94%](255,80,0), P[c:128%](239,10,129);
A[kira_wave, 48] <= P[c:-3%] (239,10,129), P[c:30%](129,10,239), P[c:64%](10,60,255), P[c:96%](255,80,0), P[c:130%](239,10,129);
A[kira_wave, 49] <= P[c:0%] (239,10,129), P[c:33%](129,10,239), P[c:66%](10,60,255), P[c:100%](255,80,0);
A[kira_wave, 50] <= P[c:-31%](255,80,0), P[c:2%] (239,10,129), P[c:36%](129,10,239), P[c:68%](10,60,255), P[c:102%](255,80,0);
A[kira_wave, 51] <= P[c:-29%](255,80,0), P[c:4%] (239,10,129), P[c:38%](129,10,239), P[c:70%](10,60,255), P[c:104%](255,80,0);
A[kira_wave, 52] <= P[c:-27%](255,80,0), P[c:6%] (239,10,129), P[c:40%](129,10,239), P[c:72%](10,60,255), P[c:106%](255,80,0);
A[kira_wave, 53] <= P[c:-25%](255,80,0), P[c:8%] (239,10,129), P[c:42%](129,10,239), P[c:74%](10,60,255), P[c:108%](255,80,0);
A[kira_wave, 54] <= P[c:-23%](255,80,0), P[c:10%](239,10,129), P[c:44%](129,10,239), P[c:76%](10,60,255), P[c:110%](255,80,0);
A[kira_wave, 55] <= P[c:-21%](255,80,0), P[c:12%](239,10,129), P[c:46%](129,10,239), P[c:78%](10,60,255), P[c:112%](255,80,0);
A[kira_wave, 56] <= P[c:-19%](255,80,0), P[c:14%](239,10,129), P[c:48%](129,10,239), P[c:80%](10,60,255), P[c:114%](255,80,0);
A[kira_wave, 57] <= P[c:-17%](255,80,0), P[c:16%](239,10,129), P[c:50%](129,10,239), P[c:82%](10,60,255), P[c:116%](255,80,0);
A[kira_wave, 58] <= P[c:-15%](255,80,0), P[c:18%](239,10,129), P[c:52%](129,10,239), P[c:84%](10,60,255), P[c:118%](255,80,0);
A[kira_wave, 59] <= P[c:-13%](255,80,0), P[c:20%](239,10,129), P[c:54%](129,10,239), P[c:86%](10,60,255), P[c:120%](255,80,0);
A[kira_wave, 61] <= P[c:-11%](255,80,0), P[c:22%](239,10,129), P[c:56%](129,10,239), P[c:88%](10,60,255), P[c:122%](255,80,0);
A[kira_wave, 62] <= P[c:-9%] (255,80,0), P[c:24%](239,10,129), P[c:58%](129,10,239), P[c:90%](10,60,255), P[c:124%](255,80,0);
A[kira_wave, 63] <= P[c:-7%] (255,80,0), P[c:26%](239,10,129), P[c:60%](129,10,239), P[c:92%](10,60,255), P[c:126%](255,80,0);
A[kira_wave, 64] <= P[c:-5%] (255,80,0), P[c:28%](239,10,129), P[c:62%](129,10,239), P[c:94%](10,60,255), P[c:128%](255,80,0);
A[kira_wave, 65] <= P[c:-3%] (255,80,0), P[c:30%](239,10,129), P[c:64%](129,10,239), P[c:96%](10,60,255), P[c:130%](255,80,0);
### Color-Select Keys ###
A[keys_only_rotation] <= pfunc:interp, replace:clear;
A[keys_only_rotation, 1] <= S1(0xC1, 0x2D, 0x1D), S114(0xC1, 0x2D, 0x1D);
A[keys_only_rotation, 2] <= S1(0xEE, 0x6D, 0x28), S114(0xEE, 0x6D, 0x28);
A[keys_only_rotation, 3] <= S1(0xE0, 0x9E, 0x3B), S114(0xE0, 0x9E, 0x3B);
A[keys_only_rotation, 4] <= S1(0xE5, 0xC9, 0x43), S114(0xE5, 0xC9, 0x43);
A[keys_only_rotation, 5] <= S1(0x1E, 0xB8, 0x6D), S114(0x1E, 0xB8, 0x6D);
A[keys_only_rotation, 6] <= S1(0x00, 0xB3, 0xA6), S114(0x00, 0xB3, 0xA6);
A[keys_only_rotation, 7] <= S1(0x20, 0x82, 0xC6), S114(0x20, 0x82, 0xC6);
A[keys_only_rotation, 8] <= S1(0x43, 0x54, 0xC1), S114(0x43, 0x54, 0xC1);
A[keys_only_rotation, 9] <= S1(0x71, 0x1C, 0x9E), S114(0x71, 0x1C, 0x9E);
A[keys_only_rotation, 10] <= S1(0xCD, 0x3B, 0x70), S114(0xCD, 0x3B, 0x70);
A[keys_only_rotation, 11] <= S1(0xB8, 0x34, 0x3E), S114(0xB8, 0x34, 0x3E);
# Pastel Rainbow
A[keys_only_rotation, 12] <= S1(40,255,40), S114(40,255,40);
A[keys_only_rotation, 13] <= S1(255,255,40), S114(255,255,40);
A[keys_only_rotation, 14] <= S1(255,40,40), S114(255,40,40);
A[keys_only_rotation, 15] <= S1(127,40,255), S114(127,40,255);
A[keys_only_rotation, 16] <= S1(40,40,255), S114(40,40,255);
# Kira Colors
A[keys_only_rotation, 17] <= S1(255,80,0), S114(255,80,0);
A[keys_only_rotation, 18] <= S1(239,10,129), S114(239,10,129);
A[keys_only_rotation, 19] <= S1(129,10,239), S114(129,10,239);
A[keys_only_rotation, 20] <= S1(10,60,255), S114(10,60,255);
### Color-Select Underglow ###
A[underlighting_only_rotation] <= replace:clear;
A[underlighting_only_rotation, 1] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xC1, 0x2D, 0x1D);
A[underlighting_only_rotation, 2] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xEE, 0x6D, 0x28);
A[underlighting_only_rotation, 3] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xE0, 0x9E, 0x3B);
A[underlighting_only_rotation, 4] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xE5, 0xC9, 0x43);
A[underlighting_only_rotation, 5] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0x1E, 0xB8, 0x6D);
A[underlighting_only_rotation, 6] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0x00, 0xB3, 0xA6);
A[underlighting_only_rotation, 7] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0x20, 0x82, 0xC6);
A[underlighting_only_rotation, 8] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0x43, 0x54, 0xC1);
A[underlighting_only_rotation, 9] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0x71, 0x1C, 0x9E);
A[underlighting_only_rotation, 10] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xCD, 0x3B, 0x70);
A[underlighting_only_rotation, 11] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](0xB8, 0x34, 0x3E);
# Pastel Rainbow
A[underlighting_only_rotation, 12] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](40,255,40);
A[underlighting_only_rotation, 13] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](255,255,40);
A[underlighting_only_rotation, 14] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](255,40,40);
A[underlighting_only_rotation, 15] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](127,40,255);
A[underlighting_only_rotation, 16] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](40,40,255);
# Kira Colors
A[underlighting_only_rotation, 17] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](255,80,0);
A[underlighting_only_rotation, 18] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](239,10,129);
A[underlighting_only_rotation, 19] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](129,10,239);
A[underlighting_only_rotation, 20] <= P[18,21,24,27,30,115,118,120,122,113,33,108,49,106,65,104,82,85-86,88-90,92,95,98,100](10,60,255);
### Indicator Mode ###
#A[numlock_on] <= loops:1, replace:all;
#A[numlock_on, 1] <= P[126](155,155,155);
#A[capslock_on] <= loops:1, replace:all;
#A[capslock_on, 1] <= P[127](155,155,155);
#A[scrolllock_on] <= loops:1, replace:all;
#A[scrolllock_on, 1] <= P[128](155,155,155);
#A[numlock_off] <= loops:1, replace:all;
#A[numlock_off, 1] <= P[126](0,0,0);
#A[capslock_off] <= loops:1, replace:all;
#A[capslock_off, 1] <= P[127](0,0,0);
#A[scrolllock_off] <= loops:1, replace:all;
#A[scrolllock_off, 1] <= P[128](0,0,0);
#I"NumLock"(On) : A[numlock_on](start);
#I"CapsLock"(On) : A[capslock_on](start);
#I"ScrollLock"(On) : A[scrolllock_on](start);
#I"NumLock"(D) : A[numlock_off](start);
#I"CapsLock"(D) : A[capslock_off](start);
#I"ScrollLock"(D) : A[scrolllock_off](start);
### Fade Configuration ###
# Fade Period
# .start and .end must be between 0 and 15
# .start == (1 << start) - 1
# .end == (1 << end)
# This means incrementing end will exponentially increase the time of the period.
# .start = 0 and .end = 0 disables that time period
# A non-zero start will prevent the LED from dimming to 0 for Off->On and On->Off
# the subsequent Off state afterwards will use the previous start from On->Off for the display value.
# Only 16 fade periods can be used.
KLL_LED_FadePeriod => KLL_LED_FadePeriod_define;
KLL_LED_FadePeriod[0] = "{ .start = 0, .end = 0 }";
KLL_LED_FadePeriod[1] = "{ .start = 0, .end = 4 }";
KLL_LED_FadePeriod[2] = "{ .start = 0, .end = 5 }";
KLL_LED_FadePeriod[3] = "{ .start = 0, .end = 6 }";
KLL_LED_FadePeriod[4] = "{ .start = 0, .end = 7 }";
KLL_LED_FadePeriod[5] = "{ .start = 0, .end = 8 }";
KLL_LED_FadePeriod[6] = "{ .start = 0, .end = 9 }";
KLL_LED_FadePeriod[7] = "{ .start = 0, .end = 10 }";
KLL_LED_FadePeriod[8] = "{ .start = 0, .end = 11 }";
KLL_LED_FadePeriod[9] = "{ .start = 0, .end = 12 }";
KLL_LED_FadePeriod[10] = "{ .start = 5, .end = 6 }";
KLL_LED_FadePeriod[11] = "{ .start = 6, .end = 7 }";
KLL_LED_FadePeriod[12] = "{ .start = 7, .end = 8 }";
KLL_LED_FadePeriod[13] = "{ .start = 8, .end = 9 }";
KLL_LED_FadePeriod[14] = "{ .start = 9, .end = 10 }";
KLL_LED_FadePeriod[15] = "{ .start = 10, .end = 11 }";
# Fade Default Configuration
# There are 4 fade profiles
# 0) Keys
# 1) Underlighting
# 2) Indicators
# 3) Active Layer (uses fade_layer_highlight to refresh)
# Each fade profile has 4 fade period configurations (see above).
# 0) Off to On
# 1) On
# 2) On to Off
# 3) Off
## Keys
KLL_LED_FadeDefaultConfig0 => KLL_LED_FadeDefaultConfig0_define;
KLL_LED_FadeDefaultConfig0[0] = 7;
KLL_LED_FadeDefaultConfig0[1] = 5;
KLL_LED_FadeDefaultConfig0[2] = 7;
KLL_LED_FadeDefaultConfig0[3] = 0;
## Underlighting
KLL_LED_FadeDefaultConfig1 => KLL_LED_FadeDefaultConfig1_define;
KLL_LED_FadeDefaultConfig1[0] = 7;
KLL_LED_FadeDefaultConfig1[1] = 5;
KLL_LED_FadeDefaultConfig1[2] = 7;
KLL_LED_FadeDefaultConfig1[3] = 0;
## Indicators
KLL_LED_FadeDefaultConfig2 => KLL_LED_FadeDefaultConfig2_define;
KLL_LED_FadeDefaultConfig2[0] = 0;
KLL_LED_FadeDefaultConfig2[1] = 0;
KLL_LED_FadeDefaultConfig2[2] = 0;
KLL_LED_FadeDefaultConfig2[3] = 0;
## Active Layer
KLL_LED_FadeDefaultConfig3 => KLL_LED_FadeDefaultConfig3_define;
KLL_LED_FadeDefaultConfig3[0] = 4;
KLL_LED_FadeDefaultConfig3[1] = 4;
KLL_LED_FadeDefaultConfig3[2] = 4;
KLL_LED_FadeDefaultConfig3[3] = 4;
PK TOMN+tl l & kll/layouts/kira/release.1.layer.1.kll# Kira Layer 1 - Control Layer
Name = "Kira Control Layer";
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-10-13;
# Mapping
U"Esc" : flashMode();
U"F1" : toggleKbdProtocol(); # 6KRO/NKRO
U"F2" : kbdProtocolBoot(); # 6KRO
U"F3" : kbdProtocolNKRO(); # NKRO
# Non-volatile control
U"F10" : storage_control(2); # Defaults
U"F11" : storage_control(0); # Load
U"F12" : storage_control(1); # Save
# Media Keys
U"Home" : U"Volume Down" + CONS"Volume Down"; # Volume Down Key
U"End" : U"Volume Up" + CONS"Volume Up"; # Volume Up Key
U"Page Up" : U"Mute" + CONS"Mute"; # Mute Key
U"Page Down" : CONS"Pause Play"; # Play Key
U"NumLock" : CONS"Scan Next Track";
U"Keypad Slash" : CONS"Scan Previous Track";
U"Keypad Asterisk" : CONS"Rewind";
U"Keypad Minus" : CONS"Fast Forward";
# System Control Keys
U"F5" : CONS"Brightness Increment";
U"F6" : CONS"Brightness Decrement";
U"F7" : SYS"Wake Up";
U"F8" : SYS"Sleep";
# International Keys
U"1" : U"International1"; # Kanji1
U"2" : U"International2"; # Kana
U"3" : U"International3"; # Yen
U"4" : U"International4"; # Henkan
U"5" : U"International5"; # Muhenkan
U"6" : U"International6"; # Kanji6
U"7" : U"International7"; # Byte Toggle
U"8" : U"International8"; # Kanji8
U"9" : U"International9"; # Kanji9
U"Keypad 1" : U"LANG1"; # Hangul / English
U"Keypad 2" : U"LANG2"; # Hanja, Eisu
U"Keypad 3" : U"LANG3"; # Katakana
U"Keypad 4" : U"LANG4"; # Hiragana
U"Keypad 5" : U"LANG5"; # Zenkaku Hankaku
U"Keypad 6" : U"LANG6"; # LANG6
U"Keypad 7" : U"LANG7"; # LANG7
U"Keypad 8" : U"LANG8"; # LANG8
U"Keypad 9" : U"LANG9"; # LANG9
# Other Keys
U"A" : U"App";
U"C" : CONS"Calculator";
U"E" : CONS"Eject";
U"F" : CONS"File Browser";
U"I" : CONS"Internet Browser";
U"M" : U"Menu";
U"P" : U"Pause";
U"S" : U"ScrollLock";
U"Z" : U"ISO Slash";
PK BSM㈳ & kll/layouts/kira/release.1.layer.2.kll# Kira Layer 2 - Animation Layer
Name = "Kira Control Layer";
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2018";
KLL = 0.5;
# Modified Date
Date = 2018-10-13;
### General Animation Control ###
U"Esc" : animation_control(4); # Animations reset
U"Equals" : ledControl(0, 15); # Increase brightness
U"Minus" : ledControl(1, 15); # Decrease brightness
U"Print" : ledControl(4, 255); # Turn on animations (LEDs)
U"Delete" : ledControl(3, 255); # Turn off animations (LEDs)
U"Home" : animation_control(2); # Animation start (Forward)
U"End" : animation_control(3); # Animation stop
U"Page Up" : ledControl(7, 1); # Animation Speed Increase (overall)
U"Page Down" : ledControl(8, 1); # Animation Speed Decrease (overall)
U"Keypad Enter" : A[all_white](single);
### Color-Select Keys ###
# Rotation Select
U"F1" : rotate(0, 1);
T[21,0](0) : A[keys_only_rotation](single, pos:0);
T[21,0](1) : A[keys_only_rotation](single, pos:1);
T[21,0](2) : A[keys_only_rotation](single, pos:2);
T[21,0](3) : A[keys_only_rotation](single, pos:3);
T[21,0](4) : A[keys_only_rotation](single, pos:4);
T[21,0](5) : A[keys_only_rotation](single, pos:5);
T[21,0](6) : A[keys_only_rotation](single, pos:6);
T[21,0](7) : A[keys_only_rotation](single, pos:7);
T[21,0](8) : A[keys_only_rotation](single, pos:8);
T[21,0](9) : A[keys_only_rotation](single, pos:9);
T[21,0](10) : A[keys_only_rotation](single, pos:10);
T[21,0](11) : A[keys_only_rotation](single, pos:11);
T[21,0](12) : A[keys_only_rotation](single, pos:12);
T[21,0](13) : A[keys_only_rotation](single, pos:13);
T[21,0](14) : A[keys_only_rotation](single, pos:14);
T[21,0](15) : A[keys_only_rotation](single, pos:15);
T[21,0](16) : A[keys_only_rotation](single, pos:16);
T[21,0](17) : A[keys_only_rotation](single, pos:17);
T[21,0](18) : A[keys_only_rotation](single, pos:18);
T[21,0](19) : A[keys_only_rotation](single, pos:19);
T[21,0](20) : A[keys_only_rotation](single, pos:20);
### Color-Select Underglow ###
# Rotation Select
U"F2" : rotate(1, 1);
T[21,1](0) : A[underlighting_only_rotation](single, pos:0);
T[21,1](1) : A[underlighting_only_rotation](single, pos:1);
T[21,1](2) : A[underlighting_only_rotation](single, pos:2);
T[21,1](3) : A[underlighting_only_rotation](single, pos:3);
T[21,1](4) : A[underlighting_only_rotation](single, pos:4);
T[21,1](5) : A[underlighting_only_rotation](single, pos:5);
T[21,1](6) : A[underlighting_only_rotation](single, pos:6);
T[21,1](7) : A[underlighting_only_rotation](single, pos:7);
T[21,1](8) : A[underlighting_only_rotation](single, pos:8);
T[21,1](9) : A[underlighting_only_rotation](single, pos:9);
T[21,1](10) : A[underlighting_only_rotation](single, pos:10);
T[21,1](11) : A[underlighting_only_rotation](single, pos:11);
T[21,1](12) : A[underlighting_only_rotation](single, pos:12);
T[21,1](13) : A[underlighting_only_rotation](single, pos:13);
T[21,1](14) : A[underlighting_only_rotation](single, pos:14);
T[21,1](15) : A[underlighting_only_rotation](single, pos:15);
T[21,1](16) : A[underlighting_only_rotation](single, pos:16);
T[21,1](17) : A[underlighting_only_rotation](single, pos:17);
T[21,1](18) : A[underlighting_only_rotation](single, pos:18);
T[21,1](19) : A[underlighting_only_rotation](single, pos:19);
T[21,1](20) : A[underlighting_only_rotation](single, pos:20);
### Fade Control ###
# Keys
U"F3" : rotate(2, 1);
T[21,2](0) : fade_set(0, 0, 0) + fade_set(0, 1, 0) + fade_set(0, 2, 0) + fade_set(0, 3, 0);
T[21,2](1) : fade_set(0, 0, 7) + fade_set(0, 1, 5) + fade_set(0, 2, 7) + fade_set(0, 3, 0);
T[21,2](2) : fade_set(0, 0, 13) + fade_set(0, 1, 5) + fade_set(0, 2, 13) + fade_set(0, 3, 0);
T[21,2](3) : fade_set(0, 0, 12) + fade_set(0, 1, 5) + fade_set(0, 2, 12) + fade_set(0, 3, 0);
T[21,2](4) : fade_set(0, 0, 11) + fade_set(0, 1, 4) + fade_set(0, 2, 11) + fade_set(0, 3, 0);
T[21,2](5) : fade_set(0, 0, 10) + fade_set(0, 1, 3) + fade_set(0, 2, 10) + fade_set(0, 3, 0);
T[21,2](6) : fade_set(0, 0, 5) + fade_set(0, 1, 0) + fade_set(0, 2, 7) + fade_set(0, 3, 0);
T[21,2](7) : fade_set(0, 0, 4) + fade_set(0, 1, 0) + fade_set(0, 2, 6) + fade_set(0, 3, 0);
T[21,2](8) : fade_set(0, 0, 3) + fade_set(0, 1, 0) + fade_set(0, 2, 3) + fade_set(0, 3, 0);
T[21,2](9) : fade_set(0, 0, 2) + fade_set(0, 1, 0) + fade_set(0, 2, 2) + fade_set(0, 3, 0);
T[21,2](10) : fade_set(0, 0, 1) + fade_set(0, 1, 0) + fade_set(0, 2, 1) + fade_set(0, 3, 0);
# Underlighting
U"F4" : rotate(3, 1);
T[21,3](0) : fade_set(1, 0, 0) + fade_set(1, 1, 0) + fade_set(1, 2, 0) + fade_set(1, 3, 0);
T[21,3](1) : fade_set(1, 0, 7) + fade_set(1, 1, 5) + fade_set(1, 2, 7) + fade_set(1, 3, 0);
T[21,3](2) : fade_set(1, 0, 13) + fade_set(1, 1, 5) + fade_set(1, 2, 13) + fade_set(1, 3, 0);
T[21,3](3) : fade_set(1, 0, 12) + fade_set(1, 1, 5) + fade_set(1, 2, 12) + fade_set(1, 3, 0);
T[21,3](4) : fade_set(1, 0, 11) + fade_set(1, 1, 4) + fade_set(1, 2, 11) + fade_set(1, 3, 0);
T[21,3](5) : fade_set(1, 0, 10) + fade_set(1, 1, 3) + fade_set(1, 2, 10) + fade_set(1, 3, 0);
T[21,3](6) : fade_set(1, 0, 5) + fade_set(1, 1, 0) + fade_set(1, 2, 7) + fade_set(1, 3, 0);
T[21,3](7) : fade_set(1, 0, 4) + fade_set(1, 1, 0) + fade_set(1, 2, 6) + fade_set(1, 3, 0);
T[21,3](8) : fade_set(1, 0, 3) + fade_set(1, 1, 0) + fade_set(1, 2, 3) + fade_set(1, 3, 0);
T[21,3](9) : fade_set(1, 0, 2) + fade_set(1, 1, 0) + fade_set(1, 2, 2) + fade_set(1, 3, 0);
T[21,3](10) : fade_set(1, 0, 1) + fade_set(1, 1, 0) + fade_set(1, 2, 1) + fade_set(1, 3, 0);
# Indicators
U"F5" : rotate(4, 1);
T[21,4](0) : fade_set(2, 0, 4) + fade_set(2, 1, 2) + fade_set(2, 2, 4) + fade_set(2, 3, 0);
T[21,4](1) : fade_set(2, 0, 0) + fade_set(2, 1, 0) + fade_set(2, 2, 0) + fade_set(2, 3, 0);
T[21,4](2) : fade_set(2, 0, 5) + fade_set(2, 1, 3) + fade_set(2, 2, 5) + fade_set(2, 3, 0);
T[21,4](3) : fade_set(2, 0, 6) + fade_set(2, 1, 4) + fade_set(2, 2, 6) + fade_set(2, 3, 0);
T[21,4](4) : fade_set(2, 0, 7) + fade_set(2, 1, 5) + fade_set(2, 2, 7) + fade_set(2, 3, 0);
T[21,4](5) : fade_set(2, 0, 11) + fade_set(2, 1, 0) + fade_set(2, 2, 11) + fade_set(2, 3, 0);
T[21,4](6) : fade_set(2, 0, 3) + fade_set(2, 1, 0) + fade_set(2, 2, 6) + fade_set(2, 3, 0);
T[21,4](7) : fade_set(2, 0, 5) + fade_set(2, 1, 0) + fade_set(2, 2, 7) + fade_set(2, 3, 0);
# Layer
U"F6" : rotate(5, 1);
T[21,5](0) : fade_set(3, 0, 4) + fade_set(3, 1, 2) + fade_set(3, 2, 4) + fade_set(3, 3, 0);
T[21,5](1) : fade_set(3, 0, 0) + fade_set(3, 1, 0) + fade_set(3, 2, 0) + fade_set(3, 3, 0);
T[21,5](2) : fade_set(3, 0, 5) + fade_set(3, 1, 3) + fade_set(3, 2, 5) + fade_set(3, 3, 0);
T[21,5](3) : fade_set(3, 0, 6) + fade_set(3, 1, 4) + fade_set(3, 2, 6) + fade_set(3, 3, 0);
T[21,5](4) : fade_set(3, 0, 7) + fade_set(3, 1, 5) + fade_set(3, 2, 7) + fade_set(3, 3, 0);
T[21,5](5) : fade_set(3, 0, 11) + fade_set(3, 1, 0) + fade_set(3, 2, 11) + fade_set(3, 3, 0);
T[21,5](6) : fade_set(3, 0, 3) + fade_set(3, 1, 0) + fade_set(3, 2, 6) + fade_set(3, 3, 0);
T[21,5](7) : fade_set(3, 0, 5) + fade_set(3, 1, 0) + fade_set(3, 2, 7) + fade_set(3, 3, 0);
### General Animations ###
# Waves + Start Animation
U"F7" : rotate(6, 1);
T[21,6](0) : A[miami_wave](start, replace:clear); # Miami
T[21,6](1) : A[rainbow_wave](start, replace:clear); # Rainbow
T[21,6](2) : A[pastel_wave](start, replace:clear); # Pastel Rainbow
T[21,6](3) : A[kira_wave](start, replace:clear); # Kira Wave
T[21,6](4) : A[default_animation](start, replace:clear); # Default animation
PK RKM`," " ! kll/layouts/whitefox/all-leds.kll# Turn all WhiteFox LEDs on by default
Name = all-leds;
Version = 0.1;
Author = "HaaTa (Jacob Alexander) 2017";
KLL = 0.5;
# Modified Date
Date = 2017-10-31;
### Animations ###
## Usage ##
A[all_on] <= start, pfunc:interp;
# All LEDs on
A[all_on, 1] <= P[c:0%](255), P[c:100%](255);
PK RKMIx ! kll/layouts/whitefox/whitefox.kll# WhiteFox Layer1
Name = whitefox;
Version = 0.1;
Author = "Matt3o and HaaTa (Jacob Alexander) 2015";
KLL = 0.3c;
# Modified Date
Date = 2015-08-16;
# Number Row
U"1" : U"F1";
U"2" : U"F2";
U"3" : U"F3";
U"4" : U"F4";
U"5" : U"F5";
U"6" : U"F6";
U"7" : U"F7";
U"8" : U"F8";
U"9" : U"F9";
U"0" : U"F10";
U"-" : U"F11";
U"=" : U"F12";
U"Backspace" : U"Delete";
U"Backtick" : U"PrintScreen";
# Top Row
U"Delete" : CONS"Mute";
# Middle Row
U"PageUp" : CONS"VolumeUp";
# Bottom Row
U"Up" : U"PageUp";
U"PageDown" : CONS"VolumeDown";
# Space Row
U"Gui" : U"Menu";
U"Left" : U"Home";
U"Down" : U"PageDown";
U"Right" : U"End";
PK RKMփO kll/templates/README.md# KLL Compiler - templates
Base file templates used by emitters to generate code and other files.
## Files
Brief description of each of the files.
* [kiibohdDefs.h](kiibohdDefs.h) - Used by [kiibohd emitter](../emitters/kiibohd) to generate `kll_defs.h`.
* [kiibohdKeymap.h](kiibohdKeymap.h) - Used by [kiibohd emitter](../emitters/kiibohd) to generate `generatedKeymap.h`.
* [kiibohdPixelmap.c](kiibohdPixelmap.c) - Used by [kiibohd emitter](../emitters/kiibohd) to generate `generatedPixelmap.c`.
PK RKM6q kll/templates/kiibohdDefs.h/* Copyright (C) 2014-2018 by Jacob Alexander
*
* This file is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This file is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this file. If not, see
// ----- Capabilities -----
// Capability function declarations
<|CapabilitiesFuncDecl|>
// Indexed Capabilities Table
<|CapabilitiesList|>
// -- Result Macros
// Result Macro Guides
<|ResultMacros|>
// -- Result Macro List
// Indexed Table of Result Macros
<|ResultMacroList|>
// -- Trigger Macros
// Trigger Macro Guides
<|TriggerMacros|>
// -- Trigger Macro List
// Indexed Table of Trigger Macros
<|TriggerMacroList|>
// -- Trigger Macro Record List
// Keeps a record/state of each trigger macro
<|TriggerMacroRecord|>
// ----- Trigger Maps -----
// MaxScanCode
// - This is retrieved from the KLL configuration
// - Should be corollated with the max scan code in the scan module
// - Maximum value is 0x100 (0x0 to 0xFF)
// - Increasing it beyond the keyboard's capabilities is just a waste of ram...
#define MaxScanCode <|MaxScanCode|>
// -- Trigger Lists
//
// Index 0: # of triggers in list
// Index n: pointer to trigger macro - use tm() macro
// - Default Layer -
<|DefaultLayerTriggerList|>
// - Partial Layers -
<|PartialLayerTriggerLists|>
// -- ScanCode Offset Map
// Maps interconnect ids to scancode offsets
//
// Only used for keyboards with an interconnect
<|ScanCodeInterconnectOffsetList|>
// -- ScanCode Indexed Maps
// Maps to a trigger list of macro pointers
// _
// -> |T|
// |r| ->
// |i|
// |g| ->
// |g|
// |e| ->
// |r|
// |s| ->
// -
// - Default Map for ScanCode Lookup -
<|DefaultLayerScanMap|>
// - Partial Layer ScanCode Lookup Maps -
<|PartialLayerScanMaps|>
// ----- Layer Index -----
// -- Layer Index List
//
// Index 0: Default map
// Index n: Additional layers
<|LayerIndexList|>
// - Layer State
<|LayerState|>
// ----- Rotation Parameters -----
// Each position represents the maximum rotation value for the index
<|RotationParameters|>
// ----- Key Positions -----
// -- Physical Key Positions
//
// Index 0: Key 1
// Each key has 6 dimensions
// x,y,z and rx,ry,rz (rotation)
// Units are in mm
<|KeyPositions|>
PK RKM'S[ kll/templates/kiibohdPixelmap.c/* Copyright (C) 2016-2018 by Jacob Alexander
*
* This file is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This file is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this file. If not, see
// KLL Includes
#include
// Project Includes
#include
// LED Buffer Struct
<|LEDBufferStruct|>
// Buffer list
<|PixelBufferSetup|>
// Fade Configuration
<|PixelFadeConfig|>
// Pixel Mapping
<|PixelMapping|>
// Pixel Display Mapping
// TODO type should be determined by Pixel_TotalPixels
<|PixelDisplayMapping|>
// Animation Frames and Framesets
// uint8_t *_frames[] = { _frame, ... }
<|AnimationFrames|>
// Index of animations
// uint8_t *Pixel_Animations[] = { _frames, ... }
<|Animations|>
// Animation Settings
// const AnimationStackElement AnimationSettings[] = {
// { , , , , , , , , , , }, ...
// }
<|AnimationSettings|>
// ScanCode to Pixel Mapping
<|ScanCodeToPixelMapping|>
// ScanCode to Display Mapping
<|ScanCodeToDisplayMapping|>
PK RKM DS S kll/templates/kiibohd_usb_hid.h/* Copyright (C) 2018 by Jacob Alexander
*
* This file is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This file is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this file. If not, see .
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