File size: 8,002 Bytes
46f5c24 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 | """Native vocabulary, seven-row simultaneous GUI fill contract v1.
Coordinates are three separately encoded digits. No tokenizer mutation, action
head, autoregressive decoding, or executable GUI action is provided here.
"""
import math
import string
from .gui_fill_table import KEYS as NAMED_KEYS
from .gui_fill_table import MASK, MODIFIERS, NA
from .visual_nanojev_data import validate_step
SCHEMA = (
("Click", ("coord", "coord", "button", "count")),
("TypeText", ("yes",)),
("PressKeys", ("key",) * 4),
("Scroll", ("direction", "level")),
("Wait", ("duration",)),
("Drag", ("coord",) * 4),
("Done", ("yes",)),
)
WIDTHS = {"coord": 3, "key": 3}
# Symbols are logical source keys, not a claim of cross-layout physical mapping.
KEYS = NAMED_KEYS | frozenset(string.punctuation)
DOMAINS = {
"coord": tuple(f"{i:03d}" for i in range(1000)),
"key": tuple(sorted(KEYS)),
"button": ("LEFT", "RIGHT"),
"count": ("0", "1", "2"),
"yes": ("YES",),
"direction": ("UP", "DOWN"),
"level": ("1", "2", "3"),
"duration": ("1", "2", "4"),
}
def coordinate(value):
if type(value) not in (int, float) or not math.isfinite(value) or not 0 <= value <= 1:
raise ValueError("source_coordinate_out_of_range")
return f"{math.floor(value * 999 + 0.5):03d}"
def canonical_keys(keys):
aliases = {
"RETURN": "ENTER",
"ESCAPE": "ESC",
"CONTROL": "CTRL",
"COMMAND": "CMD",
" ": "SPACE",
}
keys = [aliases.get(k.upper(), k.upper()) for k in keys]
if not 1 <= len(keys) <= 4 or len(set(keys)) != len(keys) or any(k not in KEYS for k in keys):
raise ValueError("invalid_keys")
return [k for k in MODIFIERS if k in keys] + sorted(k for k in keys if k not in MODIFIERS)
def validate_action(operation, values):
kinds = dict(SCHEMA).get(operation)
if kinds is None or len(values) != len(kinds):
raise ValueError("invalid_operation_or_field_count")
for index, (kind, value) in enumerate(zip(kinds, values)):
optional = kind == "key" or (operation == "Click" and index == 2 and values[3] == "0")
if value not in DOMAINS[kind] and not (optional and value == NA):
raise ValueError("missing_or_invalid_parameter")
if operation == "Click":
if values[3] == "0" and values[2] != NA:
raise ValueError("move_button_must_be_NA")
if values[3] == "2" and values[2] != "LEFT":
raise ValueError("nonleft_double_click")
if operation == "PressKeys":
keys = [k for k in values if k != NA]
if values != canonical_keys(keys) + [NA] * (4 - len(keys)):
raise ValueError("noncanonical_key_order_or_padding")
if operation == "Drag" and values[:2] == values[2:]:
raise ValueError("zero_distance_drag")
return {"operation": operation, "values": list(values)}
def convert_target(target):
actions = validate_step(target)["actions"]
if len(actions) == 2 and [a.get("skill") for a in actions] == ["move_to", "drag_to"]:
start, end = [a["args"] for a in actions]
if end["button"] != "left":
raise ValueError("nonleft_drag")
return validate_action(
"Drag", [coordinate(v) for v in (start["x"], start["y"], end["x"], end["y"])]
)
if len(actions) != 1:
raise ValueError("compound_without_intermediate_observation")
action = actions[0]
if action.get("done"):
raise ValueError("unverified_completion")
skill, args = action["skill"], action["args"]
if skill in {"click", "double_click", "move_to"}:
values = [coordinate(args[k]) for k in ("x", "y")]
values += [
NA if skill == "move_to" else args["button"].upper(),
{"click": "1", "double_click": "2", "move_to": "0"}[skill],
]
return validate_action("Click", values)
if skill == "type_text":
return validate_action("TypeText", ["YES"])
if skill in {"press_key", "hotkey"}:
keys = canonical_keys([args["key"]] if skill == "press_key" else args["keys"])
return validate_action("PressKeys", keys + [NA] * (4 - len(keys)))
raise ValueError(f"unsupported_or_unverified_source_skill:{skill}")
class NativeCodec:
"""Finite legal encodings assembled in ID space, never retokenized."""
anchor_positions = (7, 8, 9, 21, 23, 24, 36)
def __init__(self, tokenizer):
self.tokenizer = tokenizer
self.vocab_size = tokenizer.get_vocab_size()
def one(text):
ids = tokenizer.encode(text, add_special_tokens=False).ids
if len(ids) != 1:
raise ValueError(f"native single token required: {text}")
return ids[0]
self.na_id, self.mask_id = one(NA), one(MASK)
self.encodings, self.inverse = {}, {}
for kind, domain in DOMAINS.items():
width = WIDTHS.get(kind, 1)
mapping = {NA: (self.na_id,) * width}
for value in domain:
ids = (
[one(d) for d in value]
if kind == "coord"
else tokenizer.encode(value, add_special_tokens=False).ids
)
if not 1 <= len(ids) <= width or self.na_id in ids or self.mask_id in ids:
raise ValueError(f"native encoding exceeds contract: {kind}/{value}")
mapping[value] = tuple(ids + [self.na_id] * (width - len(ids)))
inverse = {ids: value for value, ids in mapping.items()}
if len(inverse) != len(mapping):
raise ValueError("ambiguous_native_encoding")
self.encodings[kind], self.inverse[kind] = mapping, inverse
self.input_ids, self.slot_positions, self.field_slices = [], [], []
self.row_slices = []
def literal(text):
self.input_ids.extend(tokenizer.encode(text, add_special_tokens=False).ids)
for row_index, (name, kinds) in enumerate(SCHEMA):
if row_index:
literal("\n")
literal(name + "(")
row_start = len(self.slot_positions)
for field_index, kind in enumerate(kinds):
if field_index:
literal(",")
width = WIDTHS.get(kind, 1)
start = len(self.slot_positions)
for _ in range(width):
self.slot_positions.append(len(self.input_ids))
self.input_ids.append(self.mask_id)
self.field_slices.append(slice(start, start + width))
literal(")")
self.row_slices.append(slice(row_start, len(self.slot_positions)))
if len(self.slot_positions) != 37 or tokenizer.get_vocab_size() != self.vocab_size:
raise ValueError("native_contract_mutated")
def encode(self, operation, values):
validate_action(operation, values)
result = []
for name, kinds in SCHEMA:
fields = values if name == operation else [NA] * len(kinds)
for kind, value in zip(kinds, fields):
result.extend(self.encodings[kind][value])
return result
def decode(self, ids):
if len(ids) != 37 or any(type(i) is not int for i in ids):
raise ValueError("expected_37_integer_ids")
active, offset = [], 0
for name, kinds in SCHEMA:
values = []
for kind in kinds:
width = WIDTHS.get(kind, 1)
tokens = tuple(ids[offset : offset + width])
if tokens not in self.inverse[kind]:
raise ValueError("invalid_field_token_sequence")
values.append(self.inverse[kind][tokens])
offset += width
if any(v != NA for v in values):
active.append(validate_action(name, values))
if len(active) != 1:
raise ValueError("expected_exactly_one_active_row")
return active[0]
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