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Version: 0.5.4

extract.pipe

ForkPipe Objects

class ForkPipe(ItemTransform[ResolvablePipeItem])

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__init__

def __init__(pipe: "Pipe", step: int = -1, copy_on_fork: bool = False) -> None

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A transformer that forks the pipe and sends the data items to forks added via add_pipe method.

Pipe Objects

class Pipe(SupportsPipe)

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is_empty

@property
def is_empty() -> bool

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Checks if pipe contains any steps

is_data_bound

@property
def is_data_bound() -> bool

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Checks if pipe is bound to data and can be iterated. Pipe is bound if has a parent that is bound xor is not empty.

gen

@property
def gen() -> TPipeStep

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A data generating step

find

def find(*step_type: AnyType) -> int

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Finds a step with object of type step_type

append_step

def append_step(step: TPipeStep) -> "Pipe"

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Appends pipeline step. On first added step performs additional verification if step is a valid data generator

insert_step

def insert_step(step: TPipeStep, index: int) -> "Pipe"

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Inserts step at a given index in the pipeline. Allows prepending only for transformers

remove_step

def remove_step(index: int) -> None

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Removes steps at a given index. Gen step cannot be removed

replace_gen

def replace_gen(gen: TPipeStep) -> None

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Replaces data generating step. Assumes that you know what are you doing

close

def close() -> None

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Closes pipe generator

full_pipe

def full_pipe() -> "Pipe"

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Creates a pipe that from the current and all the parent pipes.

ensure_gen_bound

def ensure_gen_bound() -> None

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Verifies that gen step is bound to data

evaluate_gen

def evaluate_gen() -> None

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Lazily evaluate gen of the pipe when creating PipeIterator. Allows creating multiple use pipes from generator functions and lists

bind_gen

def bind_gen(*args: Any, **kwargs: Any) -> Any

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Finds and wraps with args + kwargs the callable generating step in the resource pipe and then replaces the pipe gen with the wrapped one

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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