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RandomSequence

Demo

Quick Start

randomsequence.py
from terminaltexteffects.effects.effect_random_sequence import RandomSequence

effect = RandomSequence("YourTextHere")
with effect.terminal_output() as terminal:
    for frame in effect:
        terminal.print(frame)

Prints the input data in a random sequence, one character at a time.

Classes:

Name Description
RandomSequence

Prints the input data in a random sequence.

RandomSequenceConfig

Configuration for the RandomSequence effect.

RandomSequenceIterator

Iterator for the RandomSequence effect. Does not normally need to be called directly.

RandomSequence

Bases: BaseEffect[RandomSequenceConfig]

Prints the input data in a random sequence, one character at a time.

Attributes:

Name Type Description
effect_config PourConfig

Configuration for the effect.

terminal_config TerminalConfig

Configuration for the terminal.

Source code in terminaltexteffects/effects/effect_random_sequence.py
class RandomSequence(BaseEffect[RandomSequenceConfig]):
    """Prints the input data in a random sequence, one character at a time.

    Attributes:
        effect_config (PourConfig): Configuration for the effect.
        terminal_config (TerminalConfig): Configuration for the terminal.

    """

    @property
    def _config_cls(self) -> type[RandomSequenceConfig]:
        return RandomSequenceConfig

    @property
    def _iterator_cls(self) -> type[RandomSequenceIterator]:
        return RandomSequenceIterator

RandomSequenceConfig dataclass

Bases: ArgsDataClass

Configuration for the RandomSequence effect.

Attributes:

Name Type Description
starting_color Color

Color of the characters at spawn.

speed float

Speed of the animation as a percentage of the total number of characters to reveal in each tick. Valid values are 0 < n <= 1.

final_gradient_stops tuple[Color, ...]

Tuple of colors for the final color gradient. If only one color is provided, the characters will be displayed in that color.

final_gradient_steps tuple[int, ...] | int

Tuple of the number of gradient steps to use. More steps will create a smoother and longer gradient animation. Valid values are n > 0.

final_gradient_frames int

Number of frames to display each gradient step. Increase to slow down the gradient animation.

final_gradient_direction Direction

Direction of the final gradient.

Source code in terminaltexteffects/effects/effect_random_sequence.py
@argclass(
    name="randomsequence",
    help="Prints the input data in a random sequence.",
    description="randomsequence | Prints the input data in a random sequence.",
    epilog=(
        "Example: terminaltexteffects randomsequence --starting-color 000000 --final-gradient-stops 8A008A 00D1FF "
        "FFFFFF --final-gradient-steps 12 --final-gradient-frames 12 --speed 0.004"
    ),
)
@dataclass
class RandomSequenceConfig(ArgsDataClass):
    """Configuration for the RandomSequence effect.

    Attributes:
        starting_color (Color): Color of the characters at spawn.
        speed (float): Speed of the animation as a percentage of the total number of characters to reveal in each tick.
            Valid values are 0 < n <= 1.
        final_gradient_stops (tuple[Color, ...]): Tuple of colors for the final color gradient. If only one color is
            provided, the characters will be displayed in that color.
        final_gradient_steps (tuple[int, ...] | int): Tuple of the number of gradient steps to use. More steps will
            create a smoother and longer gradient animation. Valid values are n > 0.
        final_gradient_frames (int): Number of frames to display each gradient step. Increase to slow down the
            gradient animation.
        final_gradient_direction (Gradient.Direction): Direction of the final gradient.

    """

    starting_color: Color = ArgField(
        cmd_name=["--starting-color"],
        type_parser=argvalidators.ColorArg.type_parser,
        default=Color("000000"),
        metavar=argvalidators.ColorArg.METAVAR,
        help="Color of the characters at spawn.",
    )  # type: ignore[assignment]
    "Color : Color of the characters at spawn."

    speed: float = ArgField(
        cmd_name=["--speed"],
        type_parser=argvalidators.PositiveFloat.type_parser,
        default=0.004,
        metavar=argvalidators.PositiveFloat.METAVAR,
        help="Speed of the animation as a percentage of the total number of characters to reveal in each tick.",
    )  # type: ignore[assignment]
    "float : Speed of the animation as a percentage of the total number of characters to reveal in each tick."

    final_gradient_stops: tuple[Color, ...] = ArgField(
        cmd_name=["--final-gradient-stops"],
        type_parser=argvalidators.ColorArg.type_parser,
        nargs="+",
        default=(Color("8A008A"), Color("00D1FF"), Color("FFFFFF")),
        metavar=argvalidators.ColorArg.METAVAR,
        help=(
            "Space separated, unquoted, list of colors for the character gradient (applied across the canvas). "
            "If only one color is provided, the characters will be displayed in that color."
        ),
    )  # type: ignore[assignment]
    (
        "tuple[Color, ...] : Tuple of colors for the final color gradient. "
        "If only one color is provided, the characters will be displayed in that color."
    )

    final_gradient_steps: tuple[int, ...] | int = ArgField(
        cmd_name=["--final-gradient-steps"],
        type_parser=argvalidators.PositiveInt.type_parser,
        nargs="+",
        default=12,
        metavar=argvalidators.PositiveInt.METAVAR,
        help=(
            "Space separated, unquoted, list of the number of gradient steps to use. "
            "More steps will create a smoother and longer gradient animation."
        ),
    )  # type: ignore[assignment]
    (
        "tuple[int, ...] | int : Int or Tuple of ints for the number of gradient steps to use. "
        "More steps will create a smoother and longer gradient animation."
    )

    final_gradient_frames: int = ArgField(
        cmd_name=["--final-gradient-frames"],
        type_parser=argvalidators.PositiveInt.type_parser,
        default=12,
        metavar=argvalidators.PositiveInt.METAVAR,
        help="Number of frames to display each gradient step. Increase to slow down the gradient animation.",
    )  # type: ignore[assignment]
    "int : Number of frames to display each gradient step. Increase to slow down the gradient animation."

    final_gradient_direction: Gradient.Direction = ArgField(
        cmd_name="--final-gradient-direction",
        type_parser=argvalidators.GradientDirection.type_parser,
        default=Gradient.Direction.VERTICAL,
        metavar=argvalidators.GradientDirection.METAVAR,
        help="Direction of the final gradient.",
    )  # type: ignore[assignment]
    "Gradient.Direction : Direction of the final gradient."

    @classmethod
    def get_effect_class(cls) -> type[RandomSequence]:
        """Get the effect class associated with this configuration."""
        return RandomSequence

final_gradient_direction = ArgField(cmd_name='--final-gradient-direction', type_parser=argvalidators.GradientDirection.type_parser, default=Gradient.Direction.VERTICAL, metavar=argvalidators.GradientDirection.METAVAR, help='Direction of the final gradient.') class-attribute instance-attribute

Gradient.Direction : Direction of the final gradient.

final_gradient_frames = ArgField(cmd_name=['--final-gradient-frames'], type_parser=argvalidators.PositiveInt.type_parser, default=12, metavar=argvalidators.PositiveInt.METAVAR, help='Number of frames to display each gradient step. Increase to slow down the gradient animation.') class-attribute instance-attribute

int : Number of frames to display each gradient step. Increase to slow down the gradient animation.

final_gradient_steps = ArgField(cmd_name=['--final-gradient-steps'], type_parser=argvalidators.PositiveInt.type_parser, nargs='+', default=12, metavar=argvalidators.PositiveInt.METAVAR, help='Space separated, unquoted, list of the number of gradient steps to use. More steps will create a smoother and longer gradient animation.') class-attribute instance-attribute

tuple[int, ...] | int : Int or Tuple of ints for the number of gradient steps to use. More steps will create a smoother and longer gradient animation.

final_gradient_stops = ArgField(cmd_name=['--final-gradient-stops'], type_parser=argvalidators.ColorArg.type_parser, nargs='+', default=(Color('8A008A'), Color('00D1FF'), Color('FFFFFF')), metavar=argvalidators.ColorArg.METAVAR, help='Space separated, unquoted, list of colors for the character gradient (applied across the canvas). If only one color is provided, the characters will be displayed in that color.') class-attribute instance-attribute

tuple[Color, ...] : Tuple of colors for the final color gradient. If only one color is provided, the characters will be displayed in that color.

speed = ArgField(cmd_name=['--speed'], type_parser=argvalidators.PositiveFloat.type_parser, default=0.004, metavar=argvalidators.PositiveFloat.METAVAR, help='Speed of the animation as a percentage of the total number of characters to reveal in each tick.') class-attribute instance-attribute

float : Speed of the animation as a percentage of the total number of characters to reveal in each tick.

starting_color = ArgField(cmd_name=['--starting-color'], type_parser=argvalidators.ColorArg.type_parser, default=Color('000000'), metavar=argvalidators.ColorArg.METAVAR, help='Color of the characters at spawn.') class-attribute instance-attribute

Color : Color of the characters at spawn.

get_effect_class() classmethod

Get the effect class associated with this configuration.

Source code in terminaltexteffects/effects/effect_random_sequence.py
@classmethod
def get_effect_class(cls) -> type[RandomSequence]:
    """Get the effect class associated with this configuration."""
    return RandomSequence

RandomSequenceIterator

Bases: BaseEffectIterator[RandomSequenceConfig]

Iterator for the RandomSequence effect.

Source code in terminaltexteffects/effects/effect_random_sequence.py
class RandomSequenceIterator(BaseEffectIterator[RandomSequenceConfig]):
    """Iterator for the RandomSequence effect."""

    def __init__(self, effect: RandomSequence) -> None:
        """Initialize the effect iterator.

        Args:
            effect (RandomSequence): The effect to use for the iterator.

        """
        super().__init__(effect)
        self.pending_chars: list[EffectCharacter] = []
        self.character_final_color_map: dict[EffectCharacter, Color] = {}
        self.characters_per_tick = max(int(self.config.speed * len(self.terminal._input_characters)), 1)
        self.build()

    def build(self) -> None:
        """Build the initial state of the effect."""
        final_gradient = Gradient(*self.config.final_gradient_stops, steps=self.config.final_gradient_steps)
        final_gradient_mapping = final_gradient.build_coordinate_color_mapping(
            self.terminal.canvas.text_bottom,
            self.terminal.canvas.text_top,
            self.terminal.canvas.text_left,
            self.terminal.canvas.text_right,
            self.config.final_gradient_direction,
        )
        for character in self.terminal.get_characters():
            self.character_final_color_map[character] = final_gradient_mapping[character.input_coord]
            self.terminal.set_character_visibility(character, is_visible=False)
            gradient_scn = character.animation.new_scene()
            gradient = Gradient(self.config.starting_color, self.character_final_color_map[character], steps=7)
            gradient_scn.apply_gradient_to_symbols(
                character.input_symbol,
                self.config.final_gradient_frames,
                fg_gradient=gradient,
            )
            character.animation.activate_scene(gradient_scn)
            self.pending_chars.append(character)
        random.shuffle(self.pending_chars)

    def __next__(self) -> str:
        """Return the next frame in the animation."""
        if self.pending_chars or self.active_characters:
            for _ in range(self.characters_per_tick):
                if self.pending_chars:
                    next_char = self.pending_chars.pop()
                    self.terminal.set_character_visibility(next_char, is_visible=True)
                    self.active_characters.add(next_char)
            self.update()
            return self.frame
        raise StopIteration

__init__(effect)

Initialize the effect iterator.

Parameters:

Name Type Description Default
effect RandomSequence

The effect to use for the iterator.

required
Source code in terminaltexteffects/effects/effect_random_sequence.py
def __init__(self, effect: RandomSequence) -> None:
    """Initialize the effect iterator.

    Args:
        effect (RandomSequence): The effect to use for the iterator.

    """
    super().__init__(effect)
    self.pending_chars: list[EffectCharacter] = []
    self.character_final_color_map: dict[EffectCharacter, Color] = {}
    self.characters_per_tick = max(int(self.config.speed * len(self.terminal._input_characters)), 1)
    self.build()

__next__()

Return the next frame in the animation.

Source code in terminaltexteffects/effects/effect_random_sequence.py
def __next__(self) -> str:
    """Return the next frame in the animation."""
    if self.pending_chars or self.active_characters:
        for _ in range(self.characters_per_tick):
            if self.pending_chars:
                next_char = self.pending_chars.pop()
                self.terminal.set_character_visibility(next_char, is_visible=True)
                self.active_characters.add(next_char)
        self.update()
        return self.frame
    raise StopIteration

build()

Build the initial state of the effect.

Source code in terminaltexteffects/effects/effect_random_sequence.py
def build(self) -> None:
    """Build the initial state of the effect."""
    final_gradient = Gradient(*self.config.final_gradient_stops, steps=self.config.final_gradient_steps)
    final_gradient_mapping = final_gradient.build_coordinate_color_mapping(
        self.terminal.canvas.text_bottom,
        self.terminal.canvas.text_top,
        self.terminal.canvas.text_left,
        self.terminal.canvas.text_right,
        self.config.final_gradient_direction,
    )
    for character in self.terminal.get_characters():
        self.character_final_color_map[character] = final_gradient_mapping[character.input_coord]
        self.terminal.set_character_visibility(character, is_visible=False)
        gradient_scn = character.animation.new_scene()
        gradient = Gradient(self.config.starting_color, self.character_final_color_map[character], steps=7)
        gradient_scn.apply_gradient_to_symbols(
            character.input_symbol,
            self.config.final_gradient_frames,
            fg_gradient=gradient,
        )
        character.animation.activate_scene(gradient_scn)
        self.pending_chars.append(character)
    random.shuffle(self.pending_chars)

get_effect_and_args()

Get the effect class and its configuration class.

Source code in terminaltexteffects/effects/effect_random_sequence.py
def get_effect_and_args() -> tuple[type[typing.Any], type[ArgsDataClass]]:
    """Get the effect class and its configuration class."""
    return RandomSequence, RandomSequenceConfig