Add some tests for easing function parsing
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2 changed files with 39 additions and 14 deletions
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@ -1394,11 +1394,14 @@ def parse_font_spec(spec: str) -> FontSpec:
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return FontSpec.from_setting(spec)
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JumpTypes = Literal['start', 'end', 'none', 'both']
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class EasingFunction(NamedTuple):
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type: Literal['steps', 'linear', 'cubic-bezier', ''] = ''
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num_steps: int = 0
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jump_type: Literal['start', 'end', 'none', 'both'] = 'end'
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jump_type: JumpTypes = 'end'
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linear_x: Tuple[float, ...] = ()
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linear_y: Tuple[float, ...] = ()
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@ -1418,7 +1421,7 @@ def cubic_bezier(cls, params: str) -> 'EasingFunction':
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if len(parts) != 4:
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raise ValueError('cubic-bezier easing function must have four points')
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return cls(type='cubic-bezier', cubic_bezier_points=(
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unit_float(parts[0]), float(parts[1]), unit_float(parts[2]), float(parts[2])))
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unit_float(parts[0]), float(parts[1]), unit_float(parts[2]), float(parts[3])))
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@classmethod
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def linear(cls, params: str) -> 'EasingFunction':
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@ -1432,12 +1435,16 @@ def balance(end: float) -> None:
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extra = len(yaxis) - len(xaxis)
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if extra <= 0:
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return
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start = xaxis[-1] if xaxis else 0
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delta = (end - start) / (extra + 1)
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if delta <= 0:
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start = xaxis[-1] if xaxis else 0.
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delta = (end - start) / max(1, extra - 1)
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if delta <= 0.:
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raise ValueError(f'Linear easing curve must have strictly increasing points: {params} does not')
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for i in range(extra):
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xaxis.append((i+1) * delta)
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if xaxis:
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for i in range(extra):
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xaxis.append(start + (i+1) * delta)
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else:
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for i in range(extra):
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xaxis.append(i * delta)
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def add_point(y: float, x: Optional[float] = None) -> None:
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if x is None:
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@ -1463,18 +1470,18 @@ def add_point(y: float, x: Optional[float] = None) -> None:
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balance(1)
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return cls(type='linear', linear_x=tuple(xaxis), linear_y=tuple(yaxis))
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@classmethod
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def steps(cls, params: str) -> 'EasingFunction':
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parts = params.replace(',', ' ').split()
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jump_type = 'end'
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jump_type: JumpTypes = 'end'
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if len(parts) == 2:
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n = int(parts[0])
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jt = parts[1]
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mapping: Dict[str, JumpTypes] = {
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'jump-start': 'start', 'start': 'start', 'end': 'end', 'jump-end': 'end', 'jump-none': 'none', 'jump-both': 'both'
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}
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try:
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jump_type = {
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'jump-start': 'start', 'start': 'start', 'end': 'end', 'jump-end': 'end', 'jump-none': 'none', 'jump-both': 'both'
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}[jt.lower()]
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jump_type = mapping[jt.lower()]
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except KeyError:
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raise KeyError(f'{jt} is not a valid jump type for a linear easing function')
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if jump_type == 'none':
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@ -1483,7 +1490,7 @@ def steps(cls, params: str) -> 'EasingFunction':
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n = max(1, n)
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else:
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n = max(1, int(parts[0]))
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return cls(type='steps', jump_type=jump_type, num_steps=n) # type: ignore
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return cls(type='steps', jump_type=jump_type, num_steps=n)
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def cursor_blink_interval(spec: str) -> Tuple[float, EasingFunction, EasingFunction]:
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@ -3,7 +3,7 @@
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from kitty.fast_data_types import Color
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from kitty.options.utils import DELETE_ENV_VAR
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from kitty.options.utils import DELETE_ENV_VAR, EasingFunction
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from kitty.utils import log_error
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from . import BaseTest
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@ -137,3 +137,21 @@ def ac(which=0):
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" \\ blue")
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self.ae(opts.font_size, 12.35)
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self.ae(opts.color25, Color(0, 0, 255))
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# cursor_blink_interval
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def cb(src, interval=-1, first=EasingFunction(), second=EasingFunction()):
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opts = p('cursor_blink_interval ' + src)
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self.ae((float(interval), first, second), (float(opts.cursor_blink_interval[0]), opts.cursor_blink_interval[1], opts.cursor_blink_interval[2]))
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cb('3', 3)
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cb('-2.3', -2.3)
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cb('linear', first=EasingFunction('cubic-bezier', cubic_bezier_points=(0, 0.0, 1.0, 1.0)))
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cb('linear 19', 19, EasingFunction('cubic-bezier', cubic_bezier_points=(0, 0.0, 1.0, 1.0)))
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cb('ease-in-out cubic-bezier(0.1, 0.2, 0.3, 0.4) 11', 11,
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EasingFunction('cubic-bezier', cubic_bezier_points=(0.42, 0, 0.58, 1)),
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EasingFunction('cubic-bezier', cubic_bezier_points=(0.1, 0.2, 0.3, 0.4))
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)
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cb('step-start', first=EasingFunction('steps', num_steps=1, jump_type='start'))
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cb('steps(7, jump-none)', first=EasingFunction('steps', num_steps=7, jump_type='none'))
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cb('linear(0, 0.25, 1)', first=EasingFunction('linear', linear_x=(0.0, 0.5, 1.0), linear_y=(0, 0.25, 1.0)))
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cb('linear(0, 0.25 75%, 1)', first=EasingFunction('linear', linear_x=(0.0, 0.75, 1.0), linear_y=(0, 0.25, 1.0)))
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cb('linear(0, 0.25 25% 75%, 1)', first=EasingFunction('linear', linear_x=(0.0, 0.25, 0.75, 1.0), linear_y=(0, 0.25, 0.25, 1.0)))
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