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+ + + + + + + + + + \ No newline at end of file diff --git a/api/chain/index.html b/api/chain/index.html new file mode 100644 index 00000000..aa481853 --- /dev/null +++ b/api/chain/index.html @@ -0,0 +1,3790 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + Chain - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + +

+ chainconsumer.Chain + + +

+ + +
+

+ Bases: ChainConfig

+ + +

The numerical chain with its configuration.

+ +
+ Source code in src/chainconsumer/chain.py + 
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class Chain(ChainConfig):
+    """The numerical chain with its configuration."""
+
+    samples: pd.DataFrame = Field(
+        default=...,
+        description="The chain data as a pandas DataFrame",
+    )
+    name: ChainName = Field(
+        default=...,
+        description="The name of the chain",
+    )
+
+    weight_column: ColumnName = Field(
+        default="weight",
+        description="The name of the weight column, if it exists",
+    )
+    posterior_column: ColumnName = Field(
+        default="log_posterior",
+        description="The name of the log posterior column, if it exists",
+    )
+    walkers: int = Field(
+        default=1,
+        ge=1,
+        description="The number of walkers in the chain",
+    )
+    grid: bool = Field(
+        default=False,
+        description="Whether the chain is a sampled grid or not",
+    )
+    num_free_params: int | None = Field(
+        default=None,
+        description="The number of free parameters in the chain",
+        ge=0,
+    )
+    num_eff_data_points: float | None = Field(
+        default=None,
+        description="The number of effective data points",
+        ge=0,
+    )
+    power: float = Field(
+        default=1.0,
+        description="Raise the posterior surface to this. Useful for inflating or deflating uncertainty for debugging.",
+    )
+    show_label_in_legend: bool = Field(
+        default=True,
+        description="Whether to show the label in the legend",
+    )
+
+    @property
+    def data_columns(self) -> list[str]:
+        """The columns in the dataframe which are not weights or posteriors."""
+        results = []
+        for c in self.samples.columns:
+            if c in {self.weight_column, self.posterior_column}:
+                continue
+            if c.lower() in {
+                "weight",
+                "weights",
+                "posterior",
+                "posteriors",
+                "log_weights",
+                "log_posterior",
+                "log_posteriors",
+            }:
+                continue
+            results.append(c)
+        return results
+
+    @property
+    def data_samples(self) -> pd.DataFrame:
+        """The subsection of the dataframe with data points (ie excluding weights and posterior)"""
+        return self.samples[self.data_columns]
+
+    @property
+    def plotting_columns(self) -> list[str]:
+        """The columns to be plotted, which are the dataframe columns
+        with the weights, posterior and colour coloumns removed."""
+        cols = self.data_columns
+        if not self.plot_cloud:
+            return cols
+        return [c for c in cols if c != self.color_param]
+
+    @property
+    def skip(self) -> bool:
+        """If the chain will be skipped in plotting because it has nothing to plot."""
+        return self.samples.empty or not (self.plot_contour or self.plot_cloud or self.plot_point)
+
+    @property
+    def max_posterior_row(self) -> pd.Series | None:
+        """The row of samples which correspond to the maximum posterior value.
+        None if the posterior is not supplied."""
+        if self.posterior_column not in self.samples.columns:
+            logging.warning("No posterior column found, cannot find max posterior")
+            return None
+        argmax = self.samples[self.posterior_column].argmax()
+        return self.samples.loc[argmax]  # type: ignore
+
+    @property
+    def weights(self) -> np.ndarray:
+        """The column of weights in the samples."""
+        return self.samples[self.weight_column].to_numpy()
+
+    @property
+    def log_posterior(self) -> np.ndarray | None:
+        """The column of log posteriors in the samples. None if not set."""
+        if self.posterior_column not in self.samples.columns:
+            return None
+        return self.samples[self.posterior_column].to_numpy()
+
+    @property
+    def color_data(self) -> np.ndarray | None:
+        """The data from the color column. None if not set."""
+        if self.color_param is None:
+            return None
+        return self.samples[self.color_param].to_numpy()
+
+    @field_validator("color")
+    @classmethod
+    def _validate_color(cls, v: str | np.ndarray | list[float] | None) -> str | None:
+        if v is None:
+            return None
+        return colors.format(v)
+
+    @field_validator("samples")
+    @classmethod
+    def _copy_df(cls, v: pd.DataFrame) -> pd.DataFrame:
+        return v.copy()
+
+    @model_validator(mode="after")  # type: ignore
+    def _validate_model(self) -> Chain:
+        assert not self.samples.empty, "Your chain is empty. This is not ideal."
+
+        # If weights aren't set, add them all as one
+        if self.weight_column not in self.samples:
+            assert (
+                self.weight_column == "weight"
+            ), f"weight column has been changed to {self.weight_column}, but its not in the dataframe"
+
+            self.samples[self.weight_column] = 1.0
+        else:
+            assert np.all(self.weights > 0), "Weights must be positive and non-zero"
+
+        for column in self.samples.columns:
+            assert isinstance(column, str), f"Column {column} is not a string"
+            assert np.all(np.isfinite(self.samples[column])), f"Column {column} has NaN or inf in it"
+
+        # Apply the mean shift if it is set to true
+        if self.shift_params:
+            for param in self.samples:
+                self.samples[param] -= np.average(self.samples[param], weights=self.weights)  # type: ignore
+
+        # Check the walkers
+        assert self.samples.shape[0] % self.walkers == 0, (
+            f"Chain {self.name} has {self.samples.shape[0]} steps, "
+            "which is not divisible by {self.walkers} walkers. This is not good."
+        )
+
+        # And if the color_params are set, ensure they're in the dataframe
+        if self.color_param is not None:
+            assert (
+                self.color_param in self.samples.columns
+            ), f"Chain {self.name} does not have color parameter {self.color_param}"
+
+        # more nan checks
+        if self.num_eff_data_points is not None:
+            assert np.isfinite(self.num_eff_data_points), "num_eff_data_points is not finite"
+
+        if self.num_free_params is not None:
+            assert np.isfinite(self.num_free_params), "num_free_params is not finite"
+
+        return self
+
+    def get_data(self, column: str) -> pd.Series[float]:
+        """Extracts a single columns from the samples dataframe."""
+        return self.samples[column]
+
+    @classmethod
+    def from_covariance(
+        cls,
+        mean: np.ndarray | list[float],
+        covariance: np.ndarray | list[list[float]],
+        columns: list[ColumnName],
+        name: ChainName,
+        **kwargs: Any,
+    ) -> Chain:
+        """Generate samples as per mean and covariance supplied. Useful for Fisher matrix forecasts.
+
+        Args:
+            mean: The an array of mean values.
+            covariance: The 2D array describing the covariance.
+                Dimensions should agree with the `mean` input.
+            columns: A list of parameter names, one for each column (dimension) in the mean array.
+            name: The name of the chain.
+            kwargs: Any other arguments to pass to the Chain constructor.
+
+        Returns:
+            The generated chain.
+        """
+        rng = np.random.default_rng()
+        samples = rng.multivariate_normal(mean, covariance, size=1000000)  # type: ignore
+        df = pd.DataFrame(samples, columns=columns)
+        return cls(samples=df, name=name, **kwargs)  # type: ignore
+
+    def divide(self) -> list[Chain]:
+        """Returns a ChainConsumer instance containing all the walks of a given chain
+        as individual chains themselves.
+
+        This method might be useful if, for example, your chain was made using
+        MCMC with 4 walkers. To check the sampling of all 4 walkers agree, you could
+        call this to get a ChainConsumer instance with one chain for ech of the
+        four walks. If you then plot, hopefully all four contours
+        you would see agree.
+
+        Returns:
+            One chain per walker, split evenly
+        """
+        assert self.walkers > 1, "Cannot divide a chain with only one walker"
+        assert not self.grid, "Cannot divide a grid chain"
+
+        splits = np.split(self.samples, self.walkers)
+        chains = []
+        for i, split in enumerate(splits):
+            df = pd.DataFrame(split, columns=self.samples.columns)
+            options = self.model_dump(exclude={"samples", "name", "walkers"})
+            if "color" in options:
+                options.pop("color")
+            chain = Chain(samples=df, name=f"{self.name} Walker {i}", **options)
+            chains.append(chain)
+
+        return chains
+
+    def get_max_posterior_point(self) -> MaxPosterior | None:
+        """Returns the maximum posterior point in the chain. If the posterior
+
+        Returns:
+            MaxPosterior: The maximum posterior point
+        """
+        if self.max_posterior_row is None:
+            return None
+        row = self.max_posterior_row.to_dict()
+        log_posterior = row.pop(self.posterior_column)
+        row = {k: v for k, v in row.items() if k in self.plotting_columns}
+        return MaxPosterior(log_posterior=log_posterior, coordinate=row)
+
+    def get_covariance(self, columns: list[str] | None = None) -> Named2DMatrix:
+        """Returns the covariance matrix of the chain.
+
+        Args:
+            columns: The columns to use. None means all data columns.
+
+        Returns:
+            Named2DMatrix: The covariance matrix
+        """
+        if columns is None:
+            columns = self.data_columns
+        cov = np.cov(self.samples[columns], rowvar=False, aweights=self.weights)
+        return Named2DMatrix(columns=columns, matrix=cov)
+
+    def get_correlation(self, columns: list[str] | None = None) -> Named2DMatrix:
+        """Returns the correlation matrix of the chain.
+
+        Args:
+            columns: The columns to use. None means all data columns.
+
+        Returns:
+            Named2DMatrix: The correlation matrix
+        """
+        cov = self.get_covariance(columns)
+        diag = np.sqrt(np.diag(cov.matrix))
+        divisor = diag[None, :] * diag[:, None]  # type: ignore
+        correlations = cov.matrix / divisor
+        return Named2DMatrix(columns=cov.columns, matrix=correlations)
+
+    @classmethod
+    def from_emcee(
+        cls,
+        sampler: emcee.EnsembleSampler,
+        columns: list[str],
+        name: str,
+        thin: int = 1,
+        discard: int = 0,
+        **kwargs: Any,
+    ) -> Chain:
+        """Constructor from an emcee sampler
+
+        Args:
+            sampler: The emcee sampler
+            columns: The names of the parameters
+            name: The name of the chain
+            thin: The thinning to apply to the chain
+            discard: The number of steps to discard from the start of the chain
+            kwargs: Any other arguments to pass to the Chain constructor.
+
+        Returns:
+            A ChainConsumer Chain made from the emcee samples
+        """
+        chain: np.ndarray = sampler.get_chain(flat=True, thin=thin, discard=discard)  # type: ignore
+        df = pd.DataFrame.from_dict({col: val for col, val in zip(columns, chain.T)})
+
+        return cls(samples=df, name=name, **kwargs)
+
+    @classmethod
+    def from_numpyro(
+        cls,
+        mcmc: numpyro.infer.MCMC,
+        name: str,
+        **kwargs: Any,
+    ) -> Chain:
+        """Constructor from numpyro samples
+
+        Args:
+            mcmc: The numpyro sampler
+            name: The name of the chain
+            kwargs: Any other arguments to pass to the Chain constructor.
+
+        Returns:
+            A ChainConsumer Chain made from numpyro samples
+        """
+        df = pd.DataFrame.from_dict({key: np.ravel(value) for key, value in mcmc.get_samples().items()})
+        return cls(samples=df, name=name, **kwargs)
+
+    @classmethod
+    def from_arviz(
+        cls,
+        arviz_id: arviz.InferenceData,
+        name: str,
+        **kwargs: Any,
+    ) -> Chain:
+        """Constructor from an arviz InferenceData object
+
+        Args:
+            arviz_id: The arviz inference data
+            name: The name of the chain
+            kwargs: Any other arguments to pass to the Chain constructor.
+
+        Returns:
+            A ChainConsumer Chain made from the arviz chain
+        """
+
+        df = arviz_id.to_dataframe(groups="posterior").drop(columns=["chain", "draw"])
+
+        return cls(samples=df, name=name, **kwargs)
+
+
+ + + +
+ + + + + + + +
+ + + +

+ samples + + + + class-attribute + instance-attribute + + +

+
samples: DataFrame = Field(default=..., description='The chain data as a pandas DataFrame')
+
+ +
+
+ +
+ +
+ + + +

+ name + + + + class-attribute + instance-attribute + + +

+
name: ChainName = Field(default=..., description='The name of the chain')
+
+ +
+
+ +
+ +
+ + + +

+ weight_column + + + + class-attribute + instance-attribute + + +

+
weight_column: ColumnName = Field(default='weight', description='The name of the weight column, if it exists')
+
+ +
+
+ +
+ +
+ + + +

+ posterior_column + + + + class-attribute + instance-attribute + + +

+
posterior_column: ColumnName = Field(default='log_posterior', description='The name of the log posterior column, if it exists')
+
+ +
+
+ +
+ +
+ + + +

+ walkers + + + + class-attribute + instance-attribute + + +

+
walkers: int = Field(default=1, ge=1, description='The number of walkers in the chain')
+
+ +
+
+ +
+ +
+ + + +

+ grid + + + + class-attribute + instance-attribute + + +

+
grid: bool = Field(default=False, description='Whether the chain is a sampled grid or not')
+
+ +
+
+ +
+ +
+ + + +

+ num_free_params + + + + class-attribute + instance-attribute + + +

+
num_free_params: int | None = Field(default=None, description='The number of free parameters in the chain', ge=0)
+
+ +
+
+ +
+ +
+ + + +

+ num_eff_data_points + + + + class-attribute + instance-attribute + + +

+
num_eff_data_points: float | None = Field(default=None, description='The number of effective data points', ge=0)
+
+ +
+
+ +
+ +
+ + + +

+ power + + + + class-attribute + instance-attribute + + +

+
power: float = Field(default=1.0, description='Raise the posterior surface to this. Useful for inflating or deflating uncertainty for debugging.')
+
+ +
+
+ +
+ +
+ + + +

+ show_label_in_legend + + + + class-attribute + instance-attribute + + +

+
show_label_in_legend: bool = Field(default=True, description='Whether to show the label in the legend')
+
+ +
+
+ +
+ +
+ + + +

+ data_columns + + + + property + + +

+
data_columns: list[str]
+
+ +
+ +

The columns in the dataframe which are not weights or posteriors.

+
+ +
+ +
+ + + +

+ data_samples + + + + property + + +

+
data_samples: DataFrame
+
+ +
+ +

The subsection of the dataframe with data points (ie excluding weights and posterior)

+
+ +
+ +
+ + + +

+ plotting_columns + + + + property + + +

+
plotting_columns: list[str]
+
+ +
+ +

The columns to be plotted, which are the dataframe columns +with the weights, posterior and colour coloumns removed.

+
+ +
+ +
+ + + +

+ skip + + + + property + + +

+
skip: bool
+
+ +
+ +

If the chain will be skipped in plotting because it has nothing to plot.

+
+ +
+ +
+ + + +

+ max_posterior_row + + + + property + + +

+
max_posterior_row: Series | None
+
+ +
+ +

The row of samples which correspond to the maximum posterior value. +None if the posterior is not supplied.

+
+ +
+ +
+ + + +

+ weights + + + + property + + +

+
weights: ndarray
+
+ +
+ +

The column of weights in the samples.

+
+ +
+ +
+ + + +

+ log_posterior + + + + property + + +

+
log_posterior: ndarray | None
+
+ +
+ +

The column of log posteriors in the samples. None if not set.

+
+ +
+ +
+ + + +

+ color_data + + + + property + + +

+
color_data: ndarray | None
+
+ +
+ +

The data from the color column. None if not set.

+
+ +
+ + + + +
+ + + +

+ get_data + + +

+
get_data(column: str) -> pd.Series[float]
+
+ +
+ +

Extracts a single columns from the samples dataframe.

+ +
+ Source code in src/chainconsumer/chain.py + 
269
+270
+271
def get_data(self, column: str) -> pd.Series[float]:
+    """Extracts a single columns from the samples dataframe."""
+    return self.samples[column]
+
+
+
+ +
+ + +
+ + + +

+ from_covariance + + + + classmethod + + +

+
from_covariance(mean: np.ndarray | list[float], covariance: np.ndarray | list[list[float]], columns: list[ColumnName], name: ChainName, **kwargs: Any) -> Chain
+
+ +
+ +

Generate samples as per mean and covariance supplied. Useful for Fisher matrix forecasts.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
mean + ndarray | list[float] + +
+

The an array of mean values.

+
+ 		+ required +
covariance + ndarray | list[list[float]] + +
+

The 2D array describing the covariance. +Dimensions should agree with the mean input.

+
+ 		+ required +
columns + list[ColumnName] + +
+

A list of parameter names, one for each column (dimension) in the mean array.

+
+ 		+ required +
name + ChainName + +
+

The name of the chain.

+
+ 		+ required +
kwargs + Any + +
+

Any other arguments to pass to the Chain constructor.

+
+ 		+ {} +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Chain + +
+

The generated chain.

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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@classmethod
+def from_covariance(
+    cls,
+    mean: np.ndarray | list[float],
+    covariance: np.ndarray | list[list[float]],
+    columns: list[ColumnName],
+    name: ChainName,
+    **kwargs: Any,
+) -> Chain:
+    """Generate samples as per mean and covariance supplied. Useful for Fisher matrix forecasts.
+
+    Args:
+        mean: The an array of mean values.
+        covariance: The 2D array describing the covariance.
+            Dimensions should agree with the `mean` input.
+        columns: A list of parameter names, one for each column (dimension) in the mean array.
+        name: The name of the chain.
+        kwargs: Any other arguments to pass to the Chain constructor.
+
+    Returns:
+        The generated chain.
+    """
+    rng = np.random.default_rng()
+    samples = rng.multivariate_normal(mean, covariance, size=1000000)  # type: ignore
+    df = pd.DataFrame(samples, columns=columns)
+    return cls(samples=df, name=name, **kwargs)  # type: ignore
+
+
+
+ +
+ + +
+ + + +

+ divide + + +

+
divide() -> list[Chain]
+
+ +
+ +

Returns a ChainConsumer instance containing all the walks of a given chain +as individual chains themselves.

+

This method might be useful if, for example, your chain was made using +MCMC with 4 walkers. To check the sampling of all 4 walkers agree, you could +call this to get a ChainConsumer instance with one chain for ech of the +four walks. If you then plot, hopefully all four contours +you would see agree.

+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ list[Chain] + +
+

One chain per walker, split evenly

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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def divide(self) -> list[Chain]:
+    """Returns a ChainConsumer instance containing all the walks of a given chain
+    as individual chains themselves.
+
+    This method might be useful if, for example, your chain was made using
+    MCMC with 4 walkers. To check the sampling of all 4 walkers agree, you could
+    call this to get a ChainConsumer instance with one chain for ech of the
+    four walks. If you then plot, hopefully all four contours
+    you would see agree.
+
+    Returns:
+        One chain per walker, split evenly
+    """
+    assert self.walkers > 1, "Cannot divide a chain with only one walker"
+    assert not self.grid, "Cannot divide a grid chain"
+
+    splits = np.split(self.samples, self.walkers)
+    chains = []
+    for i, split in enumerate(splits):
+        df = pd.DataFrame(split, columns=self.samples.columns)
+        options = self.model_dump(exclude={"samples", "name", "walkers"})
+        if "color" in options:
+            options.pop("color")
+        chain = Chain(samples=df, name=f"{self.name} Walker {i}", **options)
+        chains.append(chain)
+
+    return chains
+
+
+
+ +
+ + +
+ + + +

+ get_max_posterior_point + + +

+
get_max_posterior_point() -> MaxPosterior | None
+
+ +
+ +

Returns the maximum posterior point in the chain. If the posterior

+ + + +

Returns:

+ + + + + + + + + + + + + +
Name TypeDescription
MaxPosterior + MaxPosterior | None + +
+

The maximum posterior point

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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def get_max_posterior_point(self) -> MaxPosterior | None:
+    """Returns the maximum posterior point in the chain. If the posterior
+
+    Returns:
+        MaxPosterior: The maximum posterior point
+    """
+    if self.max_posterior_row is None:
+        return None
+    row = self.max_posterior_row.to_dict()
+    log_posterior = row.pop(self.posterior_column)
+    row = {k: v for k, v in row.items() if k in self.plotting_columns}
+    return MaxPosterior(log_posterior=log_posterior, coordinate=row)
+
+
+
+ +
+ + +
+ + + +

+ get_covariance + + +

+
get_covariance(columns: list[str] | None = None) -> Named2DMatrix
+
+ +
+ +

Returns the covariance matrix of the chain.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
columns + list[str] | None + +
+

The columns to use. None means all data columns.

+
+ 		+ None +
+ + + +

Returns:

+ + + + + + + + + + + + + +
Name TypeDescription
Named2DMatrix + Named2DMatrix + +
+

The covariance matrix

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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def get_covariance(self, columns: list[str] | None = None) -> Named2DMatrix:
+    """Returns the covariance matrix of the chain.
+
+    Args:
+        columns: The columns to use. None means all data columns.
+
+    Returns:
+        Named2DMatrix: The covariance matrix
+    """
+    if columns is None:
+        columns = self.data_columns
+    cov = np.cov(self.samples[columns], rowvar=False, aweights=self.weights)
+    return Named2DMatrix(columns=columns, matrix=cov)
+
+
+
+ +
+ + +
+ + + +

+ get_correlation + + +

+
get_correlation(columns: list[str] | None = None) -> Named2DMatrix
+
+ +
+ +

Returns the correlation matrix of the chain.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
columns + list[str] | None + +
+

The columns to use. None means all data columns.

+
+ 		+ None +
+ + + +

Returns:

+ + + + + + + + + + + + + +
Name TypeDescription
Named2DMatrix + Named2DMatrix + +
+

The correlation matrix

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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def get_correlation(self, columns: list[str] | None = None) -> Named2DMatrix:
+    """Returns the correlation matrix of the chain.
+
+    Args:
+        columns: The columns to use. None means all data columns.
+
+    Returns:
+        Named2DMatrix: The correlation matrix
+    """
+    cov = self.get_covariance(columns)
+    diag = np.sqrt(np.diag(cov.matrix))
+    divisor = diag[None, :] * diag[:, None]  # type: ignore
+    correlations = cov.matrix / divisor
+    return Named2DMatrix(columns=cov.columns, matrix=correlations)
+
+
+
+ +
+ + +
+ + + +

+ from_emcee + + + + classmethod + + +

+
from_emcee(sampler: emcee.EnsembleSampler, columns: list[str], name: str, thin: int = 1, discard: int = 0, **kwargs: Any) -> Chain
+
+ +
+ +

Constructor from an emcee sampler

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
sampler + EnsembleSampler + +
+

The emcee sampler

+
+ 		+ required +
columns + list[str] + +
+

The names of the parameters

+
+ 		+ required +
name + str + +
+

The name of the chain

+
+ 		+ required +
thin + int + +
+

The thinning to apply to the chain

+
+ 		+ 1 +
discard + int + +
+

The number of steps to discard from the start of the chain

+
+ 		+ 0 +
kwargs + Any + +
+

Any other arguments to pass to the Chain constructor.

+
+ 		+ {} +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Chain + +
+

A ChainConsumer Chain made from the emcee samples

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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@classmethod
+def from_emcee(
+    cls,
+    sampler: emcee.EnsembleSampler,
+    columns: list[str],
+    name: str,
+    thin: int = 1,
+    discard: int = 0,
+    **kwargs: Any,
+) -> Chain:
+    """Constructor from an emcee sampler
+
+    Args:
+        sampler: The emcee sampler
+        columns: The names of the parameters
+        name: The name of the chain
+        thin: The thinning to apply to the chain
+        discard: The number of steps to discard from the start of the chain
+        kwargs: Any other arguments to pass to the Chain constructor.
+
+    Returns:
+        A ChainConsumer Chain made from the emcee samples
+    """
+    chain: np.ndarray = sampler.get_chain(flat=True, thin=thin, discard=discard)  # type: ignore
+    df = pd.DataFrame.from_dict({col: val for col, val in zip(columns, chain.T)})
+
+    return cls(samples=df, name=name, **kwargs)
+
+
+
+ +
+ + +
+ + + +

+ from_numpyro + + + + classmethod + + +

+
from_numpyro(mcmc: numpyro.infer.MCMC, name: str, **kwargs: Any) -> Chain
+
+ +
+ +

Constructor from numpyro samples

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
mcmc + MCMC + +
+

The numpyro sampler

+
+ 		+ required +
name + str + +
+

The name of the chain

+
+ 		+ required +
kwargs + Any + +
+

Any other arguments to pass to the Chain constructor.

+
+ 		+ {} +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Chain + +
+

A ChainConsumer Chain made from numpyro samples

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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@classmethod
+def from_numpyro(
+    cls,
+    mcmc: numpyro.infer.MCMC,
+    name: str,
+    **kwargs: Any,
+) -> Chain:
+    """Constructor from numpyro samples
+
+    Args:
+        mcmc: The numpyro sampler
+        name: The name of the chain
+        kwargs: Any other arguments to pass to the Chain constructor.
+
+    Returns:
+        A ChainConsumer Chain made from numpyro samples
+    """
+    df = pd.DataFrame.from_dict({key: np.ravel(value) for key, value in mcmc.get_samples().items()})
+    return cls(samples=df, name=name, **kwargs)
+
+
+
+ +
+ + +
+ + + +

+ from_arviz + + + + classmethod + + +

+
from_arviz(arviz_id: arviz.InferenceData, name: str, **kwargs: Any) -> Chain
+
+ +
+ +

Constructor from an arviz InferenceData object

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
arviz_id + InferenceData + +
+

The arviz inference data

+
+ 		+ required +
name + str + +
+

The name of the chain

+
+ 		+ required +
kwargs + Any + +
+

Any other arguments to pass to the Chain constructor.

+
+ 		+ {} +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Chain + +
+

A ChainConsumer Chain made from the arviz chain

+
+
+ +
+ Source code in src/chainconsumer/chain.py + 
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@classmethod
+def from_arviz(
+    cls,
+    arviz_id: arviz.InferenceData,
+    name: str,
+    **kwargs: Any,
+) -> Chain:
+    """Constructor from an arviz InferenceData object
+
+    Args:
+        arviz_id: The arviz inference data
+        name: The name of the chain
+        kwargs: Any other arguments to pass to the Chain constructor.
+
+    Returns:
+        A ChainConsumer Chain made from the arviz chain
+    """
+
+    df = arviz_id.to_dataframe(groups="posterior").drop(columns=["chain", "draw"])
+
+    return cls(samples=df, name=name, **kwargs)
+
+
+
+ +
+ + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/api/chainconfig/index.html b/api/chainconfig/index.html new file mode 100644 index 00000000..98d996e4 --- /dev/null +++ b/api/chainconfig/index.html @@ -0,0 +1,2210 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + ChainConfig - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
+
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + +
+ + + +

+ chainconsumer.ChainConfig + + +

+ + +
+

+ Bases: BetterBase

+ + +

The configuration for a chain. This is used to set the default values for +plotting chains, and is also used to store the configuration of a chain.

+

Note that some attributes are defaulted to None instead of their type hint. +Like color. This indicates that this parameter should be inferred if not explicitly +set, and that this inference requires knowledge of the other chains. For example, +if you have two chains, you probably want them to be different colors.

+ +
+ Source code in src/chainconsumer/chain.py + 
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class ChainConfig(BetterBase):
+    """The configuration for a chain. This is used to set the default values for
+    plotting chains, and is also used to store the configuration of a chain.
+
+    Note that some attributes are defaulted to None instead of their type hint.
+    Like color. This indicates that this parameter should be inferred if not explicitly
+    set, and that this inference requires knowledge of the other chains. For example,
+    if you have two chains, you probably want them to be different colors.
+    """
+
+    statistics: SummaryStatistic = Field(default=SummaryStatistic.MAX, description="The summary statistic to use")
+    summary_area: float = Field(default=0.6827, ge=0, le=1.0, description="The area to use for summary statistics")
+    sigmas: list[float] = Field(default=[0, 1, 2], description="The sigmas to use for summary statistics")
+    color: ColorInput | None = Field(default=None, description="The color of the chain")  # type: ignore
+    linestyle: str = Field(default="-", description="The line style of the chain")
+    linewidth: float = Field(default=1.0, description="The line width of the chain")
+    show_contour_labels: bool = Field(default=False, description="Whether to show contour labels")
+    shade: bool = Field(default=True, description="Whether to shade the chain")
+    shade_alpha: float = Field(default=0.5, description="The alpha of the shading")
+    shade_gradient: float = Field(default=1.0, description="The contrast between contour levels")
+    bar_shade: bool = Field(default=True, description="Whether to shade marginalised distributions")
+    bins: int | None = Field(default=None, description="The number of bins to use for histograms.")
+    kde: int | float | bool = Field(default=False, description="The bandwidth for KDEs")
+    smooth: int = Field(default=3, description="The smoothing for histograms. Set to 0 for no smoothing")
+    color_param: str | None = Field(default=None, description="The parameter (column) to use for coloring")
+    cmap: str = Field(default="viridis", description="The colormap to use for shading cloud points")
+    num_cloud: int | float = Field(default=10000, description="The number of points in the cloud")
+    plot_cloud: bool = Field(default=False, description="Whether to plot the cloud")
+    plot_contour: bool = Field(default=True, description="Whether to plot contours")
+    plot_point: bool = Field(default=False, description="Whether to plot points")
+    marker_style: str = Field(default=".", description="The marker style to use")
+    marker_size: int | float = Field(default=10.0, ge=1, description="The marker size to use")
+    marker_alpha: int | float = Field(default=1.0, description="The marker alpha to use")
+    zorder: int = Field(default=10, description="The zorder to use")
+    shift_params: bool = Field(
+        default=False,
+        description="Whether to shift the parameters by subtracting each parameters mean",
+    )
+
+    @field_validator("color")
+    @classmethod
+    def _convert_color(cls, v: ColorInput | None) -> str | None:
+        if v is None:
+            return None
+        return colors.format(v)
+
+    def _apply_if_not_user_set(self, **kwargs: Any) -> None:
+        for key, value in kwargs.items():
+            if key not in self._user_specified:
+                setattr(self, key, value)
+
+    def _apply(self, **kwargs: Any) -> None:
+        for key, value in kwargs.items():
+            setattr(self, key, value)
+
+
+ + + +
+ + + + + + + +
+ + + +

+ statistics + + + + class-attribute + instance-attribute + + +

+
statistics: SummaryStatistic = Field(default=MAX, description='The summary statistic to use')
+
+ +
+
+ +
+ +
+ + + +

+ summary_area + + + + class-attribute + instance-attribute + + +

+
summary_area: float = Field(default=0.6827, ge=0, le=1.0, description='The area to use for summary statistics')
+
+ +
+
+ +
+ +
+ + + +

+ sigmas + + + + class-attribute + instance-attribute + + +

+
sigmas: list[float] = Field(default=[0, 1, 2], description='The sigmas to use for summary statistics')
+
+ +
+
+ +
+ +
+ + + +

+ color + + + + class-attribute + instance-attribute + + +

+
color: ColorInput | None = Field(default=None, description='The color of the chain')
+
+ +
+
+ +
+ +
+ + + +

+ linestyle + + + + class-attribute + instance-attribute + + +

+
linestyle: str = Field(default='-', description='The line style of the chain')
+
+ +
+
+ +
+ +
+ + + +

+ linewidth + + + + class-attribute + instance-attribute + + +

+
linewidth: float = Field(default=1.0, description='The line width of the chain')
+
+ +
+
+ +
+ +
+ + + +

+ show_contour_labels + + + + class-attribute + instance-attribute + + +

+
show_contour_labels: bool = Field(default=False, description='Whether to show contour labels')
+
+ +
+
+ +
+ +
+ + + +

+ shade + + + + class-attribute + instance-attribute + + +

+
shade: bool = Field(default=True, description='Whether to shade the chain')
+
+ +
+
+ +
+ +
+ + + +

+ shade_alpha + + + + class-attribute + instance-attribute + + +

+
shade_alpha: float = Field(default=0.5, description='The alpha of the shading')
+
+ +
+
+ +
+ +
+ + + +

+ shade_gradient + + + + class-attribute + instance-attribute + + +

+
shade_gradient: float = Field(default=1.0, description='The contrast between contour levels')
+
+ +
+
+ +
+ +
+ + + +

+ bar_shade + + + + class-attribute + instance-attribute + + +

+
bar_shade: bool = Field(default=True, description='Whether to shade marginalised distributions')
+
+ +
+
+ +
+ +
+ + + +

+ bins + + + + class-attribute + instance-attribute + + +

+
bins: int | None = Field(default=None, description='The number of bins to use for histograms.')
+
+ +
+
+ +
+ +
+ + + +

+ kde + + + + class-attribute + instance-attribute + + +

+
kde: int | float | bool = Field(default=False, description='The bandwidth for KDEs')
+
+ +
+
+ +
+ +
+ + + +

+ smooth + + + + class-attribute + instance-attribute + + +

+
smooth: int = Field(default=3, description='The smoothing for histograms. Set to 0 for no smoothing')
+
+ +
+
+ +
+ +
+ + + +

+ color_param + + + + class-attribute + instance-attribute + + +

+
color_param: str | None = Field(default=None, description='The parameter (column) to use for coloring')
+
+ +
+
+ +
+ +
+ + + +

+ cmap + + + + class-attribute + instance-attribute + + +

+
cmap: str = Field(default='viridis', description='The colormap to use for shading cloud points')
+
+ +
+
+ +
+ +
+ + + +

+ num_cloud + + + + class-attribute + instance-attribute + + +

+
num_cloud: int | float = Field(default=10000, description='The number of points in the cloud')
+
+ +
+
+ +
+ +
+ + + +

+ plot_cloud + + + + class-attribute + instance-attribute + + +

+
plot_cloud: bool = Field(default=False, description='Whether to plot the cloud')
+
+ +
+
+ +
+ +
+ + + +

+ plot_contour + + + + class-attribute + instance-attribute + + +

+
plot_contour: bool = Field(default=True, description='Whether to plot contours')
+
+ +
+
+ +
+ +
+ + + +

+ plot_point + + + + class-attribute + instance-attribute + + +

+
plot_point: bool = Field(default=False, description='Whether to plot points')
+
+ +
+
+ +
+ +
+ + + +

+ marker_style + + + + class-attribute + instance-attribute + + +

+
marker_style: str = Field(default='.', description='The marker style to use')
+
+ +
+
+ +
+ +
+ + + +

+ marker_size + + + + class-attribute + instance-attribute + + +

+
marker_size: int | float = Field(default=10.0, ge=1, description='The marker size to use')
+
+ +
+
+ +
+ +
+ + + +

+ marker_alpha + + + + class-attribute + instance-attribute + + +

+
marker_alpha: int | float = Field(default=1.0, description='The marker alpha to use')
+
+ +
+
+ +
+ +
+ + + +

+ zorder + + + + class-attribute + instance-attribute + + +

+
zorder: int = Field(default=10, description='The zorder to use')
+
+ +
+
+ +
+ +
+ + + +

+ shift_params + + + + class-attribute + instance-attribute + + +

+
shift_params: bool = Field(default=False, description='Whether to shift the parameters by subtracting each parameters mean')
+
+ +
+
+ +
+ + + + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/api/consumer/index.html b/api/consumer/index.html new file mode 100644 index 00000000..1cbfa138 --- /dev/null +++ b/api/consumer/index.html @@ -0,0 +1,2668 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + ChainConsumer - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
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+ + + +
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+ + + + +

The ChainConsumer acts as manager and state holder, to which you supply configured pydantic objects to dictate the behaviour of your plots and analyses.

+
+ + +
+ + + +

+ chainconsumer.ChainConsumer + + +

+ + +
+ + +

A class for consuming chains produced by an MCMC walk. Or grid searches. To make plots, +figures, tables, diagnostics, you name it.

+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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class ChainConsumer:
+    """A class for consuming chains produced by an MCMC walk. Or grid searches. To make plots,
+    figures, tables, diagnostics, you name it."""
+
+    def __init__(self) -> None:
+        self._chains: dict[ChainName, Chain] = {}
+        self._truths: list[Truth] = []
+        self._global_chain_override: ChainConfig | None = None
+
+        self.plotter = Plotter(self)
+        """Use this to access all the plotting functions"""
+        self.diagnostic = Diagnostic(self)
+        """Use this to access your diagnostics to see if chains have converged."""
+        self.comparison = Comparison(self)
+        """Use this to compare chains to each other, like ranking the AIC, BIC, and DIC."""
+        self.analysis = Analysis(self)
+        """Use this to access the analysis functions, like getting summary statistics from your chains."""
+
+    @property
+    def _all_columns(self) -> list[str]:
+        """All the columns across all chains"""
+        return list(set([c for chain in self._chains.values() for c in chain.data_columns]))
+
+    def add_truth(self, truth: Truth) -> "ChainConsumer":
+        """Add a truth to ChainConsumer.
+
+        Args:
+            truth: The truth to add.
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+        self._truths.append(truth)
+        return self
+
+    def add_chain(self, chain: Chain) -> "ChainConsumer":
+        """Add a chain to ChainConsumer.
+
+        Args:
+            chain: The chain to add.
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+        key = chain.name
+        assert key not in self._chains, f"Chain with name {key} already exists!"
+        self._chains[key] = chain
+        return self
+
+    def set_plot_config(self, plot_config: PlotConfig) -> "ChainConsumer":
+        """Set the plot config for ChainConsumer.
+
+        Args:
+            plot_config: The plot config to use.
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+        self.plotter.set_config(plot_config)
+        return self
+
+    def add_marker(
+        self,
+        location: dict[ColumnName, float],
+        name: str,
+        color: ColorInput | None = None,
+        marker_size: float = 20.0,
+        marker_style: str = ".",
+        marker_alpha: float = 1.0,
+    ) -> "ChainConsumer":
+        r"""Add a marker to the plot at the given location.
+
+        Args:
+            location: The location of the marker.
+            name: The name of the marker.
+            color: The colour of the marker. Defaults to None.
+            marker_size: The size of the marker. Defaults to 20.0.
+            marker_style: The style of the marker. Defaults to ".".
+            marker_alpha: The alpha of the marker. Defaults to 1.0.
+
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+
+        samples = pd.DataFrame(location, index=[0])
+        samples["weight"] = 1.0
+        samples["log_posterior"] = 1.0
+        kwargs = {}
+        if color is not None:
+            kwargs["color"] = color
+        chain = Chain(
+            samples=samples,
+            name=name,
+            marker_size=marker_size,
+            marker_style=marker_style,
+            marker_alpha=marker_alpha,
+            plot_contour=False,
+            plot_point=True,
+            **kwargs,
+        )
+        return self.add_chain(chain)
+
+    def remove_chain(self, remove: str | Chain) -> "ChainConsumer":
+        r"""Removes a chain from ChainConsumer.
+
+        Args:
+            remove: The name of the chain to remove, or the chain itself.
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+        if isinstance(remove, Chain):
+            remove = remove.name
+
+        assert remove in self._chains, f"Chain with name {remove} does not exist!"
+        self._chains.pop(remove)
+        return self
+
+    def set_override(
+        self,
+        override: ChainConfig,
+    ) -> "ChainConsumer":
+        """Apply a custom override config
+
+        Args:
+            override: The override config. Defaults to None.
+
+        Returns:
+            Itself, to allow chaining calls.
+        """
+        self._global_chain_override = override
+        return self
+
+    def _get_final_chains(self) -> dict[ChainName, Chain]:
+        # Copy the original chain list
+        final_chains = {k: v.model_copy() for k, v in self._chains.items()}
+        num_chains = len(self._chains)
+
+        # Note we only have to override things without a default
+        # and things which should change as the number of chains change
+        global_config: dict[str, Any] = {}
+        global_config["bar_shade"] = num_chains < 5
+        global_config["sigmas"] = [0, 1, 2]
+        global_config["shade"] = num_chains < 5
+        global_config["shade_alpha"] = 1.0 / np.sqrt(num_chains)
+
+        color_iter = colors.next_colour()
+
+        for _, chain in final_chains.items():
+            # copy global config into local config
+            local_config = global_config.copy()
+
+            # Reduce shade alpha if we're showing contour labels
+            if chain.show_contour_labels:
+                local_config["shade_alpha"] *= 0.5
+
+            # Check to see if the color is set
+            if chain.color is None:
+                local_config["color"] = next(color_iter)
+
+            chain._apply_if_not_user_set(**local_config)
+
+            # Apply user overrides
+            if self._global_chain_override is not None:
+                chain._apply(**self._global_chain_override.get_user_specified_dump())
+
+        return final_chains
+
+    def get_chain(self, name: str) -> Chain:
+        """Get a chain by name.
+
+        Args:
+            name: The name of the chain.
+
+        Returns:
+            The chain.
+        """
+        assert name in self._chains, f"Chain with name {name} does not exist!"
+        return self._chains[name]
+
+    def get_names(self) -> list[str]:
+        """Get the names of all chains.
+
+        Returns:
+        The names of all chains."""
+        return list(self._chains.keys())
+
+
+ + + +
+ + + + + + + +
+ + + +

+ plotter + + + + instance-attribute + + +

+
plotter = Plotter(self)
+
+ +
+ +

Use this to access all the plotting functions

+
+ +
+ +
+ + + +

+ diagnostic + + + + instance-attribute + + +

+
diagnostic = Diagnostic(self)
+
+ +
+ +

Use this to access your diagnostics to see if chains have converged.

+
+ +
+ +
+ + + +

+ comparison + + + + instance-attribute + + +

+
comparison = Comparison(self)
+
+ +
+ +

Use this to compare chains to each other, like ranking the AIC, BIC, and DIC.

+
+ +
+ +
+ + + +

+ analysis + + + + instance-attribute + + +

+
analysis = Analysis(self)
+
+ +
+ +

Use this to access the analysis functions, like getting summary statistics from your chains.

+
+ +
+ + + + +
+ + + +

+ add_truth + + +

+
add_truth(truth: Truth) -> ChainConsumer
+
+ +
+ +

Add a truth to ChainConsumer.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
truth + Truth + +
+

The truth to add.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def add_truth(self, truth: Truth) -> "ChainConsumer":
+    """Add a truth to ChainConsumer.
+
+    Args:
+        truth: The truth to add.
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+    self._truths.append(truth)
+    return self
+
+
+
+ +
+ + +
+ + + +

+ add_chain + + +

+
add_chain(chain: Chain) -> ChainConsumer
+
+ +
+ +

Add a chain to ChainConsumer.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
chain + Chain + +
+

The chain to add.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def add_chain(self, chain: Chain) -> "ChainConsumer":
+    """Add a chain to ChainConsumer.
+
+    Args:
+        chain: The chain to add.
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+    key = chain.name
+    assert key not in self._chains, f"Chain with name {key} already exists!"
+    self._chains[key] = chain
+    return self
+
+
+
+ +
+ + +
+ + + +

+ set_plot_config + + +

+
set_plot_config(plot_config: PlotConfig) -> ChainConsumer
+
+ +
+ +

Set the plot config for ChainConsumer.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
plot_config + PlotConfig + +
+

The plot config to use.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def set_plot_config(self, plot_config: PlotConfig) -> "ChainConsumer":
+    """Set the plot config for ChainConsumer.
+
+    Args:
+        plot_config: The plot config to use.
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+    self.plotter.set_config(plot_config)
+    return self
+
+
+
+ +
+ + +
+ + + +

+ add_marker + + +

+
add_marker(location: dict[ColumnName, float], name: str, color: ColorInput | None = None, marker_size: float = 20.0, marker_style: str = '.', marker_alpha: float = 1.0) -> ChainConsumer
+
+ +
+ +

Add a marker to the plot at the given location.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
location + dict[ColumnName, float] + +
+

The location of the marker.

+
+ 		+ required +
name + str + +
+

The name of the marker.

+
+ 		+ required +
color + ColorInput | None + +
+

The colour of the marker. Defaults to None.

+
+ 		+ None +
marker_size + float + +
+

The size of the marker. Defaults to 20.0.

+
+ 		+ 20.0 +
marker_style + str + +
+

The style of the marker. Defaults to ".".

+
+ 		+ '.' +
marker_alpha + float + +
+

The alpha of the marker. Defaults to 1.0.

+
+ 		+ 1.0 +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def add_marker(
+    self,
+    location: dict[ColumnName, float],
+    name: str,
+    color: ColorInput | None = None,
+    marker_size: float = 20.0,
+    marker_style: str = ".",
+    marker_alpha: float = 1.0,
+) -> "ChainConsumer":
+    r"""Add a marker to the plot at the given location.
+
+    Args:
+        location: The location of the marker.
+        name: The name of the marker.
+        color: The colour of the marker. Defaults to None.
+        marker_size: The size of the marker. Defaults to 20.0.
+        marker_style: The style of the marker. Defaults to ".".
+        marker_alpha: The alpha of the marker. Defaults to 1.0.
+
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+
+    samples = pd.DataFrame(location, index=[0])
+    samples["weight"] = 1.0
+    samples["log_posterior"] = 1.0
+    kwargs = {}
+    if color is not None:
+        kwargs["color"] = color
+    chain = Chain(
+        samples=samples,
+        name=name,
+        marker_size=marker_size,
+        marker_style=marker_style,
+        marker_alpha=marker_alpha,
+        plot_contour=False,
+        plot_point=True,
+        **kwargs,
+    )
+    return self.add_chain(chain)
+
+
+
+ +
+ + +
+ + + +

+ remove_chain + + +

+
remove_chain(remove: str | Chain) -> ChainConsumer
+
+ +
+ +

Removes a chain from ChainConsumer.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
remove + str | Chain + +
+

The name of the chain to remove, or the chain itself.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def remove_chain(self, remove: str | Chain) -> "ChainConsumer":
+    r"""Removes a chain from ChainConsumer.
+
+    Args:
+        remove: The name of the chain to remove, or the chain itself.
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+    if isinstance(remove, Chain):
+        remove = remove.name
+
+    assert remove in self._chains, f"Chain with name {remove} does not exist!"
+    self._chains.pop(remove)
+    return self
+
+
+
+ +
+ + +
+ + + +

+ set_override + + +

+
set_override(override: ChainConfig) -> ChainConsumer
+
+ +
+ +

Apply a custom override config

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
override + ChainConfig + +
+

The override config. Defaults to None.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ ChainConsumer + +
+

Itself, to allow chaining calls.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def set_override(
+    self,
+    override: ChainConfig,
+) -> "ChainConsumer":
+    """Apply a custom override config
+
+    Args:
+        override: The override config. Defaults to None.
+
+    Returns:
+        Itself, to allow chaining calls.
+    """
+    self._global_chain_override = override
+    return self
+
+
+
+ +
+ + +
+ + + +

+ get_chain + + +

+
get_chain(name: str) -> Chain
+
+ +
+ +

Get a chain by name.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
name + str + +
+

The name of the chain.

+
+ 		+ required +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Chain + +
+

The chain.

+
+
+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def get_chain(self, name: str) -> Chain:
+    """Get a chain by name.
+
+    Args:
+        name: The name of the chain.
+
+    Returns:
+        The chain.
+    """
+    assert name in self._chains, f"Chain with name {name} does not exist!"
+    return self._chains[name]
+
+
+
+ +
+ + +
+ + + +

+ get_names + + +

+
get_names() -> list[str]
+
+ +
+ +

Get the names of all chains.

+

Returns: +The names of all chains.

+ +
+ Source code in src/chainconsumer/chainconsumer.py + 
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def get_names(self) -> list[str]:
+    """Get the names of all chains.
+
+    Returns:
+    The names of all chains."""
+    return list(self._chains.keys())
+
+
+
+ +
+ + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/api/plotconfig/index.html b/api/plotconfig/index.html new file mode 100644 index 00000000..156cc007 --- /dev/null +++ b/api/plotconfig/index.html @@ -0,0 +1,2345 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + PlotConfig - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
+
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
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+ + + +
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+
+ + + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + +
+ + + +

+ chainconsumer.PlotConfig + + +

+ + +
+

+ Bases: BetterBase

+ + +
+ Source code in src/chainconsumer/plotting/config.py + 
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class PlotConfig(BetterBase):
+    labels: dict[ColumnName, str] = Field(default={}, description="Labels for parameters")
+    max_ticks: int = Field(default=5, ge=0, description="Maximum number of ticks to use on axes")
+    plot_hists: bool = Field(default=True, description="Whether to plot the 1D histograms")
+    flip: bool = Field(default=False, description="Whether to flip the 1D histograms")
+    serif: bool = Field(default=False, description="Whether to use a serif font")
+    usetex: bool = Field(default=False, description="Whether to use LaTeX for text rendering")
+    diagonal_tick_labels: bool = Field(default=True, description="Whether to show tick labels on the diagonal")
+    label_font_size: int = Field(default=12, ge=0, description="Font size for axis labels")
+    tick_font_size: int = Field(default=10, ge=0, description="Font size for axis ticks")
+    spacing: float | None = Field(default=None, ge=0, description="Spacing between subplots")
+    contour_label_font_size: int = Field(default=10, ge=0, description="Font size for contour labels")
+    show_legend: bool | None = Field(
+        default=None,
+        description="Whether to show the legend. None means determine automatically",
+    )
+    legend_kwargs: dict[str, Any] = Field(default={}, description="Kwargs to pass to the legend")
+    legend_location: tuple[int, int] | None = Field(default=None, description="Which subplot to put the legend in")
+    legend_artists: bool | None = Field(default=None, description="Whether to show artists in the legend")
+    legend_color_text: bool = Field(default=True, description="Whether to color the legend text")
+    watermark: str | None = Field(default=None, description="Watermark text to add to the plot")
+    watermark_text_kwargs: dict[str, Any] = Field(default={}, description="Kwargs to pass to the watermark text")
+    summarise: bool = Field(default=True, description="Whether to annotate the plot with summary statistics")
+    summary_font_size: int = Field(default=12, ge=0, description="Font size for parameter summaries")
+    sigma2d: bool = Field(
+        default=False,
+        description=(
+            "Whether to use 2D sigmas for summary statistics. Ie in 2D a 1sigma contour"
+            r" does *not* encapsulate 68% of the volume, it covers 39.3% of the volume."
+        ),
+    )
+    blind: bool | list[str] = Field(default=False, description="Whether to blind some parameters")
+    log_scales: list[ColumnName] = Field(default=[], description="Whether to use log scales for some parameters")
+    extents: dict[ColumnName, tuple[float, float]] = Field(
+        default={}, description="Extents for parameters. Any you don't specify are determined automatically"
+    )
+    dpi: int = Field(default=300, ge=0, description="DPI for the figure")
+
+    @property
+    def legend_kwargs_final(self) -> dict[str, Any]:
+        default = {
+            "labelspacing": 0.3,
+            "loc": "upper right",
+            "frameon": False,
+            "fontsize": self.label_font_size,
+            "handlelength": 1,
+            "handletextpad": 0.2,
+            "borderaxespad": 0.0,
+        }
+        return default | self.legend_kwargs
+
+    @property
+    def watermark_text_kwargs_final(self) -> dict[str, Any]:
+        default = {
+            "color": "#333333",
+            "alpha": 0.7,
+            "verticalalignment": "center",
+            "horizontalalignment": "center",
+            "weight": "bold",
+        }
+        return default | self.watermark_text_kwargs
+
+    def get_label(self, column: ColumnName) -> str:
+        return self.labels.get(column, column)
+
+
+ + + +
+ + + + + + + +
+ + + +

+ labels + + + + class-attribute + instance-attribute + + +

+
labels: dict[ColumnName, str] = Field(default={}, description='Labels for parameters')
+
+ +
+
+ +
+ +
+ + + +

+ max_ticks + + + + class-attribute + instance-attribute + + +

+
max_ticks: int = Field(default=5, ge=0, description='Maximum number of ticks to use on axes')
+
+ +
+
+ +
+ +
+ + + +

+ plot_hists + + + + class-attribute + instance-attribute + + +

+
plot_hists: bool = Field(default=True, description='Whether to plot the 1D histograms')
+
+ +
+
+ +
+ +
+ + + +

+ flip + + + + class-attribute + instance-attribute + + +

+
flip: bool = Field(default=False, description='Whether to flip the 1D histograms')
+
+ +
+
+ +
+ +
+ + + +

+ serif + + + + class-attribute + instance-attribute + + +

+
serif: bool = Field(default=False, description='Whether to use a serif font')
+
+ +
+
+ +
+ +
+ + + +

+ usetex + + + + class-attribute + instance-attribute + + +

+
usetex: bool = Field(default=False, description='Whether to use LaTeX for text rendering')
+
+ +
+
+ +
+ +
+ + + +

+ diagonal_tick_labels + + + + class-attribute + instance-attribute + + +

+
diagonal_tick_labels: bool = Field(default=True, description='Whether to show tick labels on the diagonal')
+
+ +
+
+ +
+ +
+ + + +

+ label_font_size + + + + class-attribute + instance-attribute + + +

+
label_font_size: int = Field(default=12, ge=0, description='Font size for axis labels')
+
+ +
+
+ +
+ +
+ + + +

+ tick_font_size + + + + class-attribute + instance-attribute + + +

+
tick_font_size: int = Field(default=10, ge=0, description='Font size for axis ticks')
+
+ +
+
+ +
+ +
+ + + +

+ spacing + + + + class-attribute + instance-attribute + + +

+
spacing: float | None = Field(default=None, ge=0, description='Spacing between subplots')
+
+ +
+
+ +
+ +
+ + + +

+ contour_label_font_size + + + + class-attribute + instance-attribute + + +

+
contour_label_font_size: int = Field(default=10, ge=0, description='Font size for contour labels')
+
+ +
+
+ +
+ +
+ + + +

+ show_legend + + + + class-attribute + instance-attribute + + +

+
show_legend: bool | None = Field(default=None, description='Whether to show the legend. None means determine automatically')
+
+ +
+
+ +
+ +
+ + + +

+ legend_kwargs + + + + class-attribute + instance-attribute + + +

+
legend_kwargs: dict[str, Any] = Field(default={}, description='Kwargs to pass to the legend')
+
+ +
+
+ +
+ +
+ + + +

+ legend_location + + + + class-attribute + instance-attribute + + +

+
legend_location: tuple[int, int] | None = Field(default=None, description='Which subplot to put the legend in')
+
+ +
+
+ +
+ +
+ + + +

+ legend_artists + + + + class-attribute + instance-attribute + + +

+
legend_artists: bool | None = Field(default=None, description='Whether to show artists in the legend')
+
+ +
+
+ +
+ +
+ + + +

+ legend_color_text + + + + class-attribute + instance-attribute + + +

+
legend_color_text: bool = Field(default=True, description='Whether to color the legend text')
+
+ +
+
+ +
+ +
+ + + +

+ watermark + + + + class-attribute + instance-attribute + + +

+
watermark: str | None = Field(default=None, description='Watermark text to add to the plot')
+
+ +
+
+ +
+ +
+ + + +

+ watermark_text_kwargs + + + + class-attribute + instance-attribute + + +

+
watermark_text_kwargs: dict[str, Any] = Field(default={}, description='Kwargs to pass to the watermark text')
+
+ +
+
+ +
+ +
+ + + +

+ summarise + + + + class-attribute + instance-attribute + + +

+
summarise: bool = Field(default=True, description='Whether to annotate the plot with summary statistics')
+
+ +
+
+ +
+ +
+ + + +

+ summary_font_size + + + + class-attribute + instance-attribute + + +

+
summary_font_size: int = Field(default=12, ge=0, description='Font size for parameter summaries')
+
+ +
+
+ +
+ +
+ + + +

+ sigma2d + + + + class-attribute + instance-attribute + + +

+
sigma2d: bool = Field(default=False, description='Whether to use 2D sigmas for summary statistics. Ie in 2D a 1sigma contour does *not* encapsulate 68% of the volume, it covers 39.3% of the volume.')
+
+ +
+
+ +
+ +
+ + + +

+ blind + + + + class-attribute + instance-attribute + + +

+
blind: bool | list[str] = Field(default=False, description='Whether to blind some parameters')
+
+ +
+
+ +
+ +
+ + + +

+ log_scales + + + + class-attribute + instance-attribute + + +

+
log_scales: list[ColumnName] = Field(default=[], description='Whether to use log scales for some parameters')
+
+ +
+
+ +
+ +
+ + + +

+ extents + + + + class-attribute + instance-attribute + + +

+
extents: dict[ColumnName, tuple[float, float]] = Field(default={}, description="Extents for parameters. Any you don't specify are determined automatically")
+
+ +
+
+ +
+ +
+ + + +

+ dpi + + + + class-attribute + instance-attribute + + +

+
dpi: int = Field(default=300, ge=0, description='DPI for the figure')
+
+ +
+
+ +
+ +
+ + + +

+ legend_kwargs_final + + + + property + + +

+
legend_kwargs_final: dict[str, Any]
+
+ +
+
+ +
+ +
+ + + +

+ watermark_text_kwargs_final + + + + property + + +

+
watermark_text_kwargs_final: dict[str, Any]
+
+ +
+
+ +
+ + + + +
+ + + +

+ get_label + + +

+
get_label(column: ColumnName) -> str
+
+ +
+ +
+ Source code in src/chainconsumer/plotting/config.py + 
71
+72
def get_label(self, column: ColumnName) -> str:
+    return self.labels.get(column, column)
+
+
+
+ +
+ + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/api/plotter/index.html b/api/plotter/index.html new file mode 100644 index 00000000..d85a2b5e --- /dev/null +++ b/api/plotter/index.html @@ -0,0 +1,4808 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + Plotter - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
+
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + +

Plotter

+

Generally accessible via:

+
from chainconsumer import ChainConsumer
+c = ChainConsumer()
+...
+c.plotter
+
+ + +
+ + + +

+ chainconsumer.plotter.Plotter + + +

+ + +
+ + +
+ Source code in src/chainconsumer/plotter.py + 
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class Plotter:
+    def __init__(self, parent: "ChainConsumer") -> None:
+        self.parent: "ChainConsumer" = parent
+        self._config: PlotConfig | None = None
+        self._default_config = PlotConfig()
+
+        self.usetex_old = matplotlib.rcParams["text.usetex"]
+        self.serif_old = matplotlib.rcParams["font.family"]
+
+    def set_config(self, config: PlotConfig) -> None:
+        """Sets the plot config to the chosen `PlotConfig` model.
+
+        Args:
+            config: The config to use
+
+        """
+        self._config = config
+
+    @property
+    def config(self) -> PlotConfig:
+        if self._config is None:
+            return self._default_config
+        return self._config
+
+    def plot(
+        self,
+        chains: list[ChainName | Chain] | None = None,
+        columns: list[ColumnName] | None = None,
+        filename: list[str | Path] | str | Path | None = None,
+        figsize: FigSize | float | int | tuple[float, float] = FigSize.GROW,
+    ) -> Figure:  # pragma: no cover
+        """Plot the chain!
+
+        Args:
+            chains:
+                Used to specify which chain to show if more than one chain is loaded in.
+                Can be an integer, specifying the
+                chain index, or a str, specifying the chain name.
+            columns:
+                If set, only creates a plot for those specific parameters (if list). If an
+                integer is given, only plots the fist so many parameters.
+            filename:
+                If set, saves the figure to this location
+            figsize:
+                The figure size to generate. Accepts a regular two tuple of size in inches,
+                or one of several key words. The default value of ``COLUMN`` creates a figure
+                of appropriate size of insertion into an A4 LaTeX document in two-column mode.
+                ``PAGE`` creates a full page width figure. ``GROW`` creates an image that
+                scales with parameters (1.5 inches per parameter). String arguments are not
+                case sensitive. If you pass a float, it will scale the default ``GROW`` by
+                that amount, so ``2.0`` would result in a plot 3 inches per parameter.
+
+        Returns:
+            the matplotlib figure
+
+        """
+        base = self._sanitise(
+            chains, columns, self.config.extents, blind=self.config.blind, log_scales=self.config.log_scales
+        )
+
+        show_legend = self.config.show_legend
+        if show_legend is None:
+            show_legend = len(base.chains) > 1
+
+        num_cax = len(set([chain.color_param for chain in base.chains if chain.color_param is not None]))
+        fig_size = FigSize.get_size(figsize, len(base.columns), num_cax > 0)
+        plot_hists = self.config.plot_hists
+        flip = len(base.columns) == 2 and plot_hists and self.config.flip
+        fig, axes, params_x, params_y = self._get_triangle_figure(base, figsize=fig_size)
+
+        axl = axes.ravel().tolist()
+        summarise = self.config.summarise and len(base.chains) == 1
+
+        paths_for_cbar: dict[ColumnName, PathCollection] = {}
+        for i, p1 in enumerate(params_x):
+            for j, p2 in enumerate(params_y):
+                if i < j:
+                    continue
+                ax: Axes = axes[i, j]
+                do_flip = flip and i == len(params_x) - 1
+
+                # Plot the histograms
+                if plot_hists and i == j:
+                    if do_flip:
+                        plot_truths(ax, self.parent._truths, py=p1)
+                    else:
+                        plot_truths(ax, self.parent._truths, px=p1)
+                    max_val = None
+
+                    # Plot each chain
+                    for chain in base.chains:
+                        if not chain.plot_contour or p1 not in chain.samples:
+                            continue
+
+                        do_summary = summarise and p1 not in base.blind
+                        max_hist_val = self._plot_bars(ax, p1, chain, flip=do_flip, summary=do_summary)
+
+                        if max_val is None or max_hist_val > max_val:
+                            max_val = max_hist_val
+
+                    if max_val is not None:
+                        if do_flip:
+                            ax.set_xlim(0, 1.1 * max_val)
+                        else:
+                            ax.set_ylim(0, 1.1 * max_val)
+
+                else:
+                    paths_for_cbar |= plot_surface(ax, base.chains, p2, p1, self.config)
+                    plot_truths(ax, self.parent._truths, px=p2, py=p1)
+
+        # Create all the colorbars we need
+        if paths_for_cbar:
+            aspect = fig_size[1] / 0.15
+            fraction = 0.85 / fig_size[0]
+            for column, path in paths_for_cbar.items():
+                cbar = fig.colorbar(path, ax=axl, aspect=aspect, pad=0.03, fraction=fraction, drawedges=False)
+                label = self.config.get_label(column)
+                if label == "weight":
+                    label = "Weights"
+                elif label == "log_weight":
+                    label = "log(Weights)"
+                elif label == "posterior":
+                    label = "log(Posterior)"
+                cbar.set_label(label, fontsize=self.config.label_font_size)
+                if cbar.solids is not None:
+                    cbar.solids.set(alpha=1)
+
+        legend_location = self.config.legend_location
+        if legend_location is None:
+            legend_location = (0, -1) if not flip or len(base.columns) > 2 else (-1, 0)
+        legend_outside = legend_location[0] >= legend_location[1]
+
+        if show_legend:
+            ax = axes[legend_location[0], legend_location[1]]
+            legend_kwargs = self.config.legend_kwargs_final.copy()
+            if "markerfirst" not in legend_kwargs:
+                legend_kwargs["markerfirst"] = legend_outside or not self.config.legend_artists
+
+            chains_to_show_on_legend = [c for c in base.chains if c.show_label_in_legend]
+            artists = get_artists_from_chains(chains_to_show_on_legend)
+            leg = ax.legend(handles=artists, **legend_kwargs)
+            if self.config.legend_color_text:
+                for text, chain in zip(leg.get_texts(), chains_to_show_on_legend):
+                    text.set_fontweight("medium")
+                    text.set_color(colors.format(chain.color))
+        fig.canvas.draw()
+        for ax in axes[-1, :]:
+            offset = ax.get_xaxis().get_offset_text()
+            ax.set_xlabel("{} {}".format(ax.get_xlabel(), f"[{offset.get_text()}]" if offset.get_text() else ""))
+            offset.set_visible(False)
+        for ax in axes[:, 0]:
+            offset = ax.get_yaxis().get_offset_text()
+            ax.set_ylabel("{} {}".format(ax.get_ylabel(), f"[{offset.get_text()}]" if offset.get_text() else ""))
+            offset.set_visible(False)
+
+        if self.config.watermark is not None:
+            ax_watermark = axes[-1, 0] if flip and len(base.columns) == 2 else None
+            add_watermark(fig, ax_watermark, fig_size, self.config)
+
+        self._save_fig(fig, filename, dpi=self.config.dpi)
+
+        return fig
+
+    def _save_fig(self, fig: Figure, filename: list[str | Path] | str | Path | None = None, dpi: int = 300) -> None:
+        if filename is not None:
+            if not isinstance(filename, list):
+                filename = [filename]
+            for f in filename:
+                fig.savefig(f, bbox_inches="tight", dpi=dpi, transparent=True, pad_inches=0.05)
+
+    def plot_walks(
+        self,
+        chains: list[ChainName | Chain] | None = None,
+        columns: list[ColumnName] | None = None,
+        filename: list[str | Path] | str | Path | None = None,
+        figsize: float | tuple[float, float] | None = None,
+        convolve: int | None = None,
+        plot_weights: bool = True,
+        plot_posterior: bool = True,
+        log_weight: bool = False,
+    ) -> Figure:  # pragma: no cover
+        """Plots the chain walk; the parameter values as a function of step index.
+
+        This plot is more for a sanity or consistency check than for use with final results.
+        Plotting this before plotting with :func:`plot` allows you to quickly see if the
+        chains are well behaved, or if certain parameters are suspect
+        or require a greater burn in period.
+
+        The desired outcome is to see an unchanging distribution along the x-axis of the plot.
+        If there are obvious tails or features in the parameters, you probably want
+        to investigate.
+
+        Args:
+            chains:
+                Used to specify which chain to show if more than one chain is loaded in.
+                Can be an integer, specifying the
+                chain index, or a str, specifying the chain name.
+            columns:
+                If set, only creates a plot for those specific parameters (if list). If an
+                integer is given, only plots the fist so many parameters.
+            filename:
+                If set, saves the figure to this location
+            figsize:
+                Scale horizontal and vertical figure size.
+            col_wrap:
+                How many columns to plot before wrapping.
+            convolve:
+                If set, overplots a smoothed version of the steps using ``convolve`` as
+                the width of the smoothing filter.
+            plot_weights:
+                If true, plots the weight if they are available
+            plot_posterior:
+                If true, plots the log posterior if they are available
+            log_weight:
+                Whether to display weights in log space or not. If None, the value is
+                inferred by the mean weights of the plotted chains.
+
+        Returns:
+            the matplotlib figure created
+
+        """
+
+        base = self._sanitise(
+            chains,
+            columns,
+            self.config.extents,
+            blind=self.config.blind,
+            log_scales=self.config.log_scales,
+        )
+
+        n = len(base.columns)
+        extra = 0
+
+        plot_posterior = plot_posterior and any([c.log_posterior is not None for c in base.chains])
+        if plot_weights:
+            extra += 1
+        if plot_posterior:
+            extra += 1
+
+        if figsize is None:
+            fig_size = (8, 0.75 + (n + extra))
+        elif isinstance(figsize, float | int):
+            fig_size = (figsize, figsize)
+        else:
+            fig_size = figsize
+
+        fig, axes = plt.subplots(figsize=fig_size, nrows=n + extra, squeeze=False, sharex=True)
+        max_points = 100000
+        for i, axes_row in enumerate(axes):
+            ax = axes_row[0]
+            if i >= extra:
+                p = base.columns[i - extra]
+                for chain in base.chains:
+                    if p in chain.data_columns:
+                        chain_row = chain.get_data(p)
+                        if len(chain_row) > max_points:
+                            chain_row = chain_row[:: int(len(chain_row) / max_points)]
+                        log = p in base.log_scales
+                        self._plot_walk(
+                            ax,
+                            p,
+                            chain_row,
+                            extents=base.extents.get(p),
+                            convolve=convolve,
+                            color=colors.format(chain.color),
+                            log_scale=log,
+                        )
+                for truth in self.parent._truths:
+                    if p in truth.location:
+                        self._plot_walk_truth(ax, truth, p)
+
+                if p in base.blind:
+                    ax.set_yticks([])
+            else:  # noqa: PLR5501
+                if i == 0 and plot_posterior:
+                    for chain in base.chains:
+                        if chain.log_posterior is not None:
+                            posterior = chain.log_posterior - chain.log_posterior.max()
+                            if len(posterior) > max_points:
+                                posterior = posterior[:: int(len(posterior) / max_points)]
+
+                            self._plot_walk(
+                                ax,
+                                r"$\log(P)$",
+                                posterior,
+                                convolve=convolve,
+                                color=colors.format(chain.color),
+                            )
+                else:
+                    label = r"$\log_{10}$Weight" if log_weight else "Weight"
+
+                    for chain in base.chains:
+                        if chain.weights is not None:
+                            weights = chain.weights
+                            if len(weights) > max_points:
+                                weights = weights[:: int(len(weights) / max_points)]
+                            self._plot_walk(
+                                ax,
+                                label,
+                                np.log10(weights) if log_weight else weights,  # type: ignore
+                                convolve=convolve,
+                                color=colors.format(chain.color),
+                            )
+
+        add_watermark(fig, None, fig_size, self.config, size_scale=0.8)
+        self._save_fig(fig, filename, dpi=self.config.dpi)
+
+        return fig
+
+    def plot_distributions(
+        self,
+        chains: list[ChainName | Chain] | None = None,
+        columns: list[ColumnName] | None = None,
+        filename: list[str | Path] | str | Path | None = None,
+        col_wrap: int = 4,
+        figsize: float | tuple[float, float] | None = None,
+    ) -> Figure:  # pragma: no cover
+        """Plots the 1D parameter distributions for verification purposes.
+
+        This plot is more for a sanity or consistency check than for use with final results.
+        Plotting this before plotting with :func:`plot` allows you to quickly see if the
+        chains give well behaved distributions, or if certain parameters are suspect
+        or require a greater burn in period.
+
+        Args:
+            chains:
+                Used to specify which chain to show if more than one chain is loaded in.
+                Can be an integer, specifying the
+                chain index, or a str, specifying the chain name.
+            columns:
+                If set, only creates a plot for those specific parameters (if list). If an
+                integer is given, only plots the fist so many parameters.
+            filename:
+                If set, saves the figure to this location
+            figsize:
+                Scale horizontal and vertical figure size.
+            col_wrap:
+                How many columns to plot before wrapping.
+
+        Returns:
+            the matplotlib figure created
+
+        """
+        base = self._sanitise(
+            chains,
+            columns,
+            self.config.extents,
+            blind=self.config.blind,
+            log_scales=self.config.log_scales,
+        )
+
+        n = len(base.columns)
+        num_cols = min(n, col_wrap)
+        num_rows = int(np.ceil(1.0 * n / col_wrap))
+
+        if figsize is None:
+            figsize = 1.0
+        if isinstance(figsize, float | int):
+            figsize_float = figsize
+            figsize = (num_cols * 2.5 * figsize, num_rows * 2.5 * figsize)
+        else:
+            figsize_float = 1.0
+
+        summary = self.config.summarise and len(base.chains) == 1
+        hspace = (0.8 if summary else 0.5) / figsize_float
+        fig, axes = plt.subplots(nrows=num_rows, ncols=num_cols, figsize=figsize, squeeze=False)
+        fig.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.1, wspace=0.05, hspace=hspace)
+
+        formatter = ScalarFormatter(useOffset=False)
+        formatter.set_powerlimits((-3, 4))
+
+        for i, ax in enumerate(axes.flatten()):
+            if i >= n:
+                ax.set_axis_off()
+                continue
+            p = base.columns[i]
+
+            ax.set_yticks([])
+            if p in base.log_scales:
+                ax.set_xscale("log")
+            if p in base.blind:
+                ax.set_xticks([])
+            else:
+                if self.config.diagonal_tick_labels:
+                    _ = [label.set_rotation(45) for label in ax.get_xticklabels()]
+                _ = [label.set_fontsize(self.config.tick_font_size) for label in ax.get_xticklabels()]
+
+                if p in base.log_scales:
+                    ax.xaxis.set_major_locator(LogLocator(numticks=self.config.max_ticks))
+                else:
+                    ax.xaxis.set_major_locator(MaxNLocator(self.config.max_ticks, prune="lower"))
+                    ax.xaxis.set_major_formatter(formatter)
+            ax.set_xlim(base.extents.get(p) or self._get_parameter_extents(p, base.chains))
+
+            max_val = -np.inf
+            for chain in base.chains:
+                if not chain.plot_contour:
+                    continue
+                if p in chain.plotting_columns:
+                    param_summary = summary and p not in base.blind
+                    m = self._plot_bars(ax, p, chain, summary=param_summary)
+                    if max_val is None or m > max_val:
+                        max_val = m
+            plot_truths(ax, self.parent._truths, py=p)
+            ax.set_ylim(0, 1.1 * max_val)
+            ax.set_xlabel(p, fontsize=self.config.label_font_size)
+
+        add_watermark(fig, None, figsize, self.config, size_scale=0.8)
+        self._save_fig(fig, filename, dpi=self.config.dpi)
+        return fig
+
+    def plot_summary(
+        self,
+        chains: list[ChainName | Chain] | None = None,
+        columns: list[ColumnName] | None = None,
+        filename: list[str | Path] | str | Path | None = None,
+        figsize: float = 1.0,
+        errorbar: bool = False,
+        extra_parameter_spacing: float = 1.0,
+        vertical_spacing_ratio: float = 1.0,
+    ) -> Figure:  # pragma: no cover
+        """Plots parameter summaries
+
+        This plot is more for a sanity or consistency check than for use with final results.
+        Plotting this before plotting with :func:`plot` allows you to quickly see if the
+        chains give well behaved distributions, or if certain parameters are suspect
+        or require a greater burn in period.
+
+        Args:
+            chains:
+                Used to specify which chain to show if more than one chain is loaded in.
+                Can be an integer, specifying the
+                chain index, or a str, specifying the chain name.
+            columns:
+                If set, only creates a plot for those specific parameters (if list). If an
+                integer is given, only plots the fist so many parameters.
+            filename:
+                If set, saves the figure to this location
+            figsize:
+                Scale horizontal and vertical figure size.
+            errorbar:
+                Whether to onle plot an error bar, instead of the marginalised distribution.
+            include_truth_chain:
+                If you specify another chain as the truth chain, determine if it should still
+                be plotted.
+            extra_parameter_spacing:
+                Increase horizontal space for parameter values
+            vertical_spacing_ratio:
+                Increase vertical space for each model
+        Returns:
+            the matplotlib figure created
+
+        """
+        wide_extents = not errorbar
+        base = self._sanitise(
+            chains,
+            columns,
+            self.config.extents,
+            blind=self.config.blind,
+            log_scales=self.config.log_scales,
+            wide_extents=wide_extents,
+        )
+
+        # We have a bit of fun to go from chain names to the width of the
+        # subplot used to display said names
+        max_param = self._get_size_of_texts(base.columns)
+        fid_dpi = 65  # Seriously I have no idea what value this should be
+        param_width = extra_parameter_spacing + max(0.5, max_param / fid_dpi)
+        max_model_name = self._get_size_of_texts([chain.name for chain in base.chains])
+        model_width = 0.25 + (max_model_name / fid_dpi)
+        gridspec_kw = {
+            "width_ratios": [model_width] + [param_width] * len(base.columns),
+            "height_ratios": [1] * len(base.chains),
+        }
+        ncols = 1 + len(base.columns)
+        top_spacing = 0.3
+        bottom_spacing = 0.2
+        row_height = (0.5 if errorbar else 0.8) * vertical_spacing_ratio
+        width = param_width * len(base.columns) + model_width
+        height = top_spacing + bottom_spacing + row_height * len(base.chains)
+        top_ratio = 1 - (top_spacing / height)
+        bottom_ratio = bottom_spacing / height
+
+        fig_size = (width * figsize, height * figsize)
+        fig, axes = plt.subplots(
+            nrows=len(base.chains), ncols=ncols, figsize=fig_size, squeeze=False, gridspec_kw=gridspec_kw
+        )
+        fig.subplots_adjust(left=0.05, right=0.95, top=top_ratio, bottom=bottom_ratio, wspace=0.0, hspace=0.0)
+        label_font_size = self.config.label_font_size
+        legend_color_text = self.config.legend_color_text
+
+        max_vals: dict[ColumnName, float] = {}
+        num_chains = len(base.chains)
+        for i, axes_row in enumerate(axes):
+            chain = base.chains[i]
+            colour = colors.format(chain.color)
+
+            # First one put name of model
+            ax_first = axes_row[0]
+            ax_first.set_axis_off()
+            text_colour = "k" if not legend_color_text else colour
+            ax_first.text(
+                0,
+                0.5,
+                chain.name,
+                transform=ax_first.transAxes,
+                fontsize=label_font_size,
+                verticalalignment="center",
+                color=text_colour,
+                weight="medium",
+            )
+            axes_for_summaries = axes_row[1:]
+
+            for ax, p in zip(axes_for_summaries, base.columns):
+                # Set up the frames
+                if i > 0:
+                    ax.spines["top"].set_visible(False)
+                if i < (num_chains - 1):
+                    ax.spines["bottom"].set_visible(False)
+                if i < (num_chains - 1) or p in base.blind:
+                    ax.set_xticks([])
+                ax.set_yticks([])
+                ax.set_xlim(base.extents[p])
+                if p in base.log_scales:
+                    ax.set_xscale("log")
+
+                # Put title in
+                if i == 0:
+                    ax.set_title(self.config.get_label(p), fontsize=label_font_size)
+
+                # Add truth values
+                for truth in self.parent._truths:
+                    truth_value = truth.location.get(p)
+                    if truth_value is not None:
+                        ax.axvline(truth_value, **truth._kwargs)
+
+                # Skip if this chain doesnt have the parameter
+                if p not in chain.data_columns:
+                    continue
+
+                # Plot the good stuff
+                if errorbar:
+                    fv = self.parent.analysis.get_parameter_summary(chain, p)
+                    if fv is None or fv.all_none:
+                        continue
+                    if fv.lower is not None and fv.upper is not None:
+                        diff = np.abs(np.diff(fv.array))
+                        ax.errorbar([fv.center], 0, xerr=[[diff[0]], [diff[1]]], fmt="o", color=colour)
+                else:
+                    m = self._plot_bars(ax, p, chain)
+                    if max_vals.get(p) is None or m > max_vals[p]:
+                        max_vals[p] = m
+
+        for i, axes_row in enumerate(axes):
+            for ax, p in zip(axes_row, base.columns):
+                if not errorbar:
+                    ax.set_ylim(0, 1.1 * max_vals[p])
+
+        add_watermark(fig, None, fig_size, self.config, size_scale=0.8)
+        self._save_fig(fig, filename, dpi=self.config.dpi)
+
+        return fig
+
+    def _get_size_of_texts(self, texts: list[str]) -> float:  # pragma: no cover
+        usetex = self.config.usetex
+        size = self.config.label_font_size
+        widths = [TextPath((0, 0), text, usetex=usetex, size=size).get_extents().width for text in texts]
+        return max(widths)
+
+    def _sanitise_columns(self, columns: list[ColumnName] | None, chains: list[Chain]) -> list[ColumnName]:
+        if columns is None:
+            res = []  # Doing it without set to preserve order
+            for chain in chains:
+                for column in chain.plotting_columns:
+                    if column not in res:
+                        res.append(column)
+            return res
+        return columns
+
+    def _sanitise_logscale(self, log_scales: list[ColumnName] | None) -> list[ColumnName]:
+        # We could at some point determine if something should be a log scale by analyising
+        # its distribution, but for now assume its all linear
+        if log_scales is None:
+            return []
+        return log_scales
+
+    def _sanitise_blinds(self, blind: bool | list[ColumnName] | None, columns: list[ColumnName]) -> list[ColumnName]:
+        if blind is None or blind is False:
+            return []
+        elif blind is True:
+            return columns
+        return blind
+
+    def _sanitise(
+        self,
+        chains: list[ChainName | Chain] | None,
+        columns: list[ColumnName] | None,
+        extents: dict[str, tuple[float, float]] | None,
+        blind: bool | list[ColumnName] | None = None,
+        log_scales: list[ColumnName] | None = None,
+        wide_extents: bool = True,
+    ) -> PlottingBase:
+        final_chains = self._sanitise_chains(chains)
+        final_columns = self._sanitise_columns(columns, final_chains)
+        extents = self._get_custom_extents(final_columns, final_chains, extents, wide_extents=wide_extents)
+        self.set_rc_params()
+
+        return PlottingBase(
+            chains=final_chains,
+            columns=final_columns,
+            extents=extents,
+            log_scales=self._sanitise_logscale(log_scales),
+            blind=self._sanitise_blinds(blind, final_columns),
+        )
+
+    def set_rc_params(self) -> None:
+        if self.config.usetex:
+            plt.rc("text", usetex=True)
+        else:
+            plt.rc("text", usetex=False)
+        if self.config.serif:
+            plt.rc("font", family="serif")
+        else:
+            plt.rc("font", family="sans-serif")
+
+    def restore_rc_params(self):
+        """Restores the matplotlib rc parameters modified by usetex and serif.
+
+        Unfortunately this cannot be automated because you cannot invoke it whilst you have
+        an active figure object or matplotlib will destroy you. So do all your plotting, close
+        the plots, and then you can call this.
+        """
+        plt.rc("text", usetex=self.usetex_old)
+        plt.rc("font", family=self.serif_old)
+
+    def _get_custom_extents(
+        self,
+        columns: list[ColumnName],
+        chains: list[Chain],
+        initial_extents: dict[ColumnName, tuple[float, float]] | None,
+        wide_extents: bool = True,
+    ) -> dict[ColumnName, tuple[float, float]]:  # pragma: no cover
+        if initial_extents is None:
+            initial_extents = {}
+        extents = {} | initial_extents
+        for p in columns:
+            if p not in initial_extents:
+                extents[p] = self._get_parameter_extents(p, chains, wide_extents=wide_extents)
+        return extents
+
+    def _get_triangle_figure(
+        self, base: PlottingBase, figsize: tuple[float, float]
+    ) -> tuple[Figure, np.ndarray, list[ColumnName], list[ColumnName]]:
+        n = len(base.columns)
+        if not self.config.plot_hists:
+            n -= 1
+
+        spacing = self.config.spacing
+        if spacing is None:
+            spacing = 1.0 if n < 6 else 0.0
+
+        gridspec_kw = {}
+        if n == 2 and self.config.plot_hists and self.config.flip:
+            gridspec_kw = {"width_ratios": [3, 1], "height_ratios": [1, 3]}
+
+        fig, axes = plt.subplots(n, n, figsize=figsize, squeeze=False, gridspec_kw=gridspec_kw)
+        min_left_for_axes = min(max(0.85 / figsize[0], 0.1), 0.3)
+        min_bottom_for_axes = min(max(0.85 / figsize[1], 0.1), 0.3)
+        fig.subplots_adjust(
+            left=min_left_for_axes,
+            right=0.95,
+            top=0.9,
+            bottom=min_bottom_for_axes,
+            wspace=0.05 * spacing,
+            hspace=0.05 * spacing,
+        )
+
+        if self.config.plot_hists:
+            params_x = base.columns
+            params_y = base.columns
+        else:
+            params_x = base.columns[1:]
+            params_y = base.columns[:-1]
+        for i, p1 in enumerate(params_x):
+            for j, p2 in enumerate(params_y):
+                ax = axes[i, j]
+                formatter_x = ScalarFormatter(useOffset=True)
+                formatter_x.set_powerlimits((-3, 4))
+                formatter_y = ScalarFormatter(useOffset=True)
+                formatter_y.set_powerlimits((-3, 4))
+
+                display_x_ticks = False
+                display_y_ticks = False
+                if i < j:
+                    ax.set_frame_on(False)
+                    ax.set_xticks([])
+                    ax.set_yticks([])
+                else:
+                    logx = False
+                    logy = False
+                    if p1 == p2:
+                        if p1 in base.log_scales:
+                            if self.config.flip and j == n - 1:
+                                ax.set_yscale("log")
+                                logy = True
+                            else:
+                                ax.set_xscale("log")
+                                logx = True
+                    else:
+                        if p1 in base.log_scales:
+                            ax.set_yscale("log")
+                            logy = True
+                        if p2 in base.log_scales:
+                            ax.set_xscale("log")
+                            logx = True
+                    if i != n - 1 or (self.config.flip and j == n - 1):
+                        ax.set_xticks([])
+                    else:
+                        if p2 in base.blind:
+                            ax.set_xticks([])
+                        else:
+                            display_x_ticks = True
+                        if isinstance(p2, str):
+                            ax.set_xlabel(self.config.get_label(p2), fontsize=self.config.label_font_size)
+                    if j != 0 or (self.config.plot_hists and i == 0):
+                        ax.set_yticks([])
+                    else:
+                        if p1 in base.blind:
+                            ax.set_yticks([])
+                        else:
+                            display_y_ticks = True
+                        if isinstance(p1, str):
+                            ax.set_ylabel(self.config.get_label(p1), fontsize=self.config.label_font_size)
+                    if display_x_ticks:
+                        if self.config.diagonal_tick_labels:
+                            _ = [label.set_rotation(45) for label in ax.get_xticklabels()]
+                        _ = [label.set_fontsize(self.config.tick_font_size) for label in ax.get_xticklabels()]
+                        if not logx:
+                            ax.xaxis.set_major_locator(MaxNLocator(self.config.max_ticks, prune="lower"))
+                            ax.xaxis.set_major_formatter(formatter_x)
+                        else:
+                            ax.xaxis.set_major_locator(LogLocator(numticks=self.config.max_ticks))
+                    else:
+                        ax.set_xticks([])
+                    if display_y_ticks:
+                        if self.config.diagonal_tick_labels:
+                            _ = [label.set_rotation(45) for label in ax.get_yticklabels()]
+                        _ = [label.set_fontsize(self.config.tick_font_size) for label in ax.get_yticklabels()]
+                        if not logy:
+                            ax.yaxis.set_major_locator(MaxNLocator(self.config.max_ticks, prune="lower"))
+                            ax.yaxis.set_major_formatter(formatter_y)
+                        else:
+                            ax.yaxis.set_major_locator(LogLocator(numticks=self.config.max_ticks))
+                    else:
+                        ax.set_yticks([])
+                    if (i != j or not self.config.plot_hists) or (self.config.flip and i == 1):
+                        ax.set_ylim(base.extents[p1])
+                    ax.set_xlim(base.extents[p2])
+
+        return fig, axes, params_x, params_y
+
+    def _get_parameter_extents(
+        self, column: ColumnName, chains: list[Chain], wide_extents: bool = True
+    ) -> tuple[float, float]:
+        min_val, max_val = np.inf, -np.inf
+        for chain in chains:
+            if column not in chain.samples:
+                continue  # pragma: no cover
+
+            data = chain.get_data(column)
+            min_prop, max_prop = np.inf, -np.inf
+            if chain.plot_contour or chain.plot_cloud:
+                if chain.grid:
+                    min_prop = data.min()
+                    max_prop = data.max()
+                else:
+                    min_prop, max_prop = get_extents(data, chain.weights, plot=True, wide_extents=wide_extents)
+
+            else:
+                point = chain.get_max_posterior_point()
+                if point is not None and column in point.coordinate:
+                    min_prop = point.coordinate[column]
+                    max_prop = min_prop
+
+            if min_prop < min_val:
+                min_val = min_prop
+            if max_prop > max_val:
+                max_val = max_prop
+
+        return min_val, max_val
+
+    def _sanitise_chains(
+        self, chains: list[Chain | ChainName] | dict[ChainName, Chain] | None, include_skip: bool = False
+    ) -> list[Chain]:
+        overriden_chains = self.parent._get_final_chains()
+        final_chains = []
+        if isinstance(chains, list):
+            final_chains = [overriden_chains[c if isinstance(c, ChainName) else c.name] for c in chains]
+        elif isinstance(chains, dict):
+            final_chains = [overriden_chains[c.name] for c in chains.values()]
+        else:
+            final_chains = list(overriden_chains.values())
+        return [c for c in final_chains if include_skip or not c.skip]
+
+    def _plot_bars(
+        self, ax: Axes, column: str, chain: Chain, flip: bool = False, summary: bool = False
+    ) -> float:  # pragma: no cover
+        # Get values from config
+        data = chain.get_data(column)
+        if chain.smooth or chain.kde:
+            xs, ys, _ = self.parent.analysis._get_smoothed_histogram(chain, column, pad=True)
+            if flip:
+                ax.plot(ys, xs, color=chain.color, ls=chain.linestyle, lw=chain.linewidth, zorder=chain.zorder)
+            else:
+                ax.plot(xs, ys, color=chain.color, ls=chain.linestyle, lw=chain.linewidth, zorder=chain.zorder)
+        else:
+            if chain.grid:
+                bins = get_grid_bins(data)
+            else:
+                bins, _ = get_smoothed_bins(chain.smooth, get_bins(chain), data, chain.weights)
+            hist, edges = np.histogram(data, bins=bins, density=True, weights=chain.weights)
+            if chain.power is not None:
+                hist = hist**chain.power
+            edge_center = 0.5 * (edges[:-1] + edges[1:])
+            xs, ys = edge_center, hist
+            ax.hist(
+                xs,
+                weights=ys,
+                bins=bins,  # type: ignore
+                histtype="step",
+                color=chain.color,  # type: ignore
+                orientation="horizontal" if flip else "vertical",
+                ls=chain.linestyle,
+                lw=chain.linewidth,
+                zorder=chain.zorder,
+            )
+        interp_type = "linear" if chain.smooth else "nearest"
+        interpolator = interp1d(xs, ys, kind=interp_type)
+
+        if chain.bar_shade:
+            fit_values = self.parent.analysis.get_parameter_summary(chain, column)
+            if fit_values is not None:
+                lower = fit_values.lower
+                upper = fit_values.upper
+                if lower is not None and upper is not None:
+                    if lower < xs.min():
+                        lower = xs.min()
+                    if upper > xs.max():
+                        upper = xs.max()
+                    x = np.linspace(lower, upper, 1000)  # type: ignore
+                    if flip:
+                        ax.fill_betweenx(
+                            x,
+                            np.zeros(x.shape),
+                            interpolator(x),
+                            color=chain.color,
+                            alpha=0.2,
+                            zorder=chain.zorder,
+                        )
+                    else:
+                        ax.fill_between(
+                            x,
+                            np.zeros(x.shape),
+                            interpolator(x),
+                            color=chain.color,
+                            alpha=0.2,
+                            zorder=chain.zorder,
+                        )
+                    if summary:
+                        t = self.parent.analysis.get_parameter_text(fit_values)
+                        label = self.config.get_label(column)
+                        if isinstance(column, str):
+                            ax.set_title(
+                                r"${} = {}$".format(label.strip("$"), t), fontsize=self.config.summary_font_size
+                            )
+                        else:
+                            ax.set_title(r"$%s$" % t, fontsize=self.config.summary_font_size)
+        return float(ys.max())
+
+    def _plot_walk(
+        self,
+        ax: Axes,
+        column: ColumnName,
+        data: pd.Series,
+        extents: tuple[float, float] | None = None,
+        convolve: int | None = None,
+        color: str | None = None,
+        log_scale: bool = False,
+    ) -> None:  # pragma: no cover
+        if extents is not None:
+            ax.set_ylim(extents)
+        assert convolve is None or isinstance(convolve, int), "Convolve must be an integer pixel window width"
+        x = np.arange(data.size)
+        ax.set_xlim(0, x[-1])
+        ax.set_ylabel(self.config.get_label(column))
+        if color is None:
+            color = "#0345A1"
+        ax.scatter(x, data, c=color, s=2, marker=".", edgecolors="none", alpha=0.5)
+        max_ticks = self.config.max_ticks
+        if log_scale:
+            ax.set_yscale("log")
+            ax.yaxis.set_major_locator(LogLocator(numticks=max_ticks))
+        else:
+            ax.yaxis.set_major_locator(MaxNLocator(max_ticks, prune="lower"))
+
+        if convolve is not None:
+            trim = int(0.5 * convolve)
+            color2 = colors.scale_colour(color, 0.5)
+            filt = np.ones(convolve) / convolve
+            filtered = np.convolve(data, filt, mode="same")
+            ax.plot(x[trim:-trim], filtered[trim:-trim], color=color2, alpha=1)
+
+    def _plot_walk_truth(self, ax: Axes, truth: Truth, col: str) -> None:
+        ax.axhline(truth.location[col], **truth._kwargs)
+
+
+ + + +
+ + + + + + + + + + +
+ + + +

+ plot + + +

+
plot(chains: list[ChainName | Chain] | None = None, columns: list[ColumnName] | None = None, filename: list[str | Path] | str | Path | None = None, figsize: FigSize | float | int | tuple[float, float] = FigSize.GROW) -> Figure
+
+ +
+ +

Plot the chain!

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
chains + list[ChainName | Chain] | None + +
+

Used to specify which chain to show if more than one chain is loaded in. +Can be an integer, specifying the +chain index, or a str, specifying the chain name.

+
+ 		+ None +
columns + list[ColumnName] | None + +
+

If set, only creates a plot for those specific parameters (if list). If an +integer is given, only plots the fist so many parameters.

+
+ 		+ None +
filename + list[str | Path] | str | Path | None + +
+

If set, saves the figure to this location

+
+ 		+ None +
figsize + FigSize | float | int | tuple[float, float] + +
+

The figure size to generate. Accepts a regular two tuple of size in inches, +or one of several key words. The default value of COLUMN creates a figure +of appropriate size of insertion into an A4 LaTeX document in two-column mode. +PAGE creates a full page width figure. GROW creates an image that +scales with parameters (1.5 inches per parameter). String arguments are not +case sensitive. If you pass a float, it will scale the default GROW by +that amount, so 2.0 would result in a plot 3 inches per parameter.

+
+ 		+ GROW +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Figure + +
+

the matplotlib figure

+
+
+ +
+ Source code in src/chainconsumer/plotter.py + 
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def plot(
+    self,
+    chains: list[ChainName | Chain] | None = None,
+    columns: list[ColumnName] | None = None,
+    filename: list[str | Path] | str | Path | None = None,
+    figsize: FigSize | float | int | tuple[float, float] = FigSize.GROW,
+) -> Figure:  # pragma: no cover
+    """Plot the chain!
+
+    Args:
+        chains:
+            Used to specify which chain to show if more than one chain is loaded in.
+            Can be an integer, specifying the
+            chain index, or a str, specifying the chain name.
+        columns:
+            If set, only creates a plot for those specific parameters (if list). If an
+            integer is given, only plots the fist so many parameters.
+        filename:
+            If set, saves the figure to this location
+        figsize:
+            The figure size to generate. Accepts a regular two tuple of size in inches,
+            or one of several key words. The default value of ``COLUMN`` creates a figure
+            of appropriate size of insertion into an A4 LaTeX document in two-column mode.
+            ``PAGE`` creates a full page width figure. ``GROW`` creates an image that
+            scales with parameters (1.5 inches per parameter). String arguments are not
+            case sensitive. If you pass a float, it will scale the default ``GROW`` by
+            that amount, so ``2.0`` would result in a plot 3 inches per parameter.
+
+    Returns:
+        the matplotlib figure
+
+    """
+    base = self._sanitise(
+        chains, columns, self.config.extents, blind=self.config.blind, log_scales=self.config.log_scales
+    )
+
+    show_legend = self.config.show_legend
+    if show_legend is None:
+        show_legend = len(base.chains) > 1
+
+    num_cax = len(set([chain.color_param for chain in base.chains if chain.color_param is not None]))
+    fig_size = FigSize.get_size(figsize, len(base.columns), num_cax > 0)
+    plot_hists = self.config.plot_hists
+    flip = len(base.columns) == 2 and plot_hists and self.config.flip
+    fig, axes, params_x, params_y = self._get_triangle_figure(base, figsize=fig_size)
+
+    axl = axes.ravel().tolist()
+    summarise = self.config.summarise and len(base.chains) == 1
+
+    paths_for_cbar: dict[ColumnName, PathCollection] = {}
+    for i, p1 in enumerate(params_x):
+        for j, p2 in enumerate(params_y):
+            if i < j:
+                continue
+            ax: Axes = axes[i, j]
+            do_flip = flip and i == len(params_x) - 1
+
+            # Plot the histograms
+            if plot_hists and i == j:
+                if do_flip:
+                    plot_truths(ax, self.parent._truths, py=p1)
+                else:
+                    plot_truths(ax, self.parent._truths, px=p1)
+                max_val = None
+
+                # Plot each chain
+                for chain in base.chains:
+                    if not chain.plot_contour or p1 not in chain.samples:
+                        continue
+
+                    do_summary = summarise and p1 not in base.blind
+                    max_hist_val = self._plot_bars(ax, p1, chain, flip=do_flip, summary=do_summary)
+
+                    if max_val is None or max_hist_val > max_val:
+                        max_val = max_hist_val
+
+                if max_val is not None:
+                    if do_flip:
+                        ax.set_xlim(0, 1.1 * max_val)
+                    else:
+                        ax.set_ylim(0, 1.1 * max_val)
+
+            else:
+                paths_for_cbar |= plot_surface(ax, base.chains, p2, p1, self.config)
+                plot_truths(ax, self.parent._truths, px=p2, py=p1)
+
+    # Create all the colorbars we need
+    if paths_for_cbar:
+        aspect = fig_size[1] / 0.15
+        fraction = 0.85 / fig_size[0]
+        for column, path in paths_for_cbar.items():
+            cbar = fig.colorbar(path, ax=axl, aspect=aspect, pad=0.03, fraction=fraction, drawedges=False)
+            label = self.config.get_label(column)
+            if label == "weight":
+                label = "Weights"
+            elif label == "log_weight":
+                label = "log(Weights)"
+            elif label == "posterior":
+                label = "log(Posterior)"
+            cbar.set_label(label, fontsize=self.config.label_font_size)
+            if cbar.solids is not None:
+                cbar.solids.set(alpha=1)
+
+    legend_location = self.config.legend_location
+    if legend_location is None:
+        legend_location = (0, -1) if not flip or len(base.columns) > 2 else (-1, 0)
+    legend_outside = legend_location[0] >= legend_location[1]
+
+    if show_legend:
+        ax = axes[legend_location[0], legend_location[1]]
+        legend_kwargs = self.config.legend_kwargs_final.copy()
+        if "markerfirst" not in legend_kwargs:
+            legend_kwargs["markerfirst"] = legend_outside or not self.config.legend_artists
+
+        chains_to_show_on_legend = [c for c in base.chains if c.show_label_in_legend]
+        artists = get_artists_from_chains(chains_to_show_on_legend)
+        leg = ax.legend(handles=artists, **legend_kwargs)
+        if self.config.legend_color_text:
+            for text, chain in zip(leg.get_texts(), chains_to_show_on_legend):
+                text.set_fontweight("medium")
+                text.set_color(colors.format(chain.color))
+    fig.canvas.draw()
+    for ax in axes[-1, :]:
+        offset = ax.get_xaxis().get_offset_text()
+        ax.set_xlabel("{} {}".format(ax.get_xlabel(), f"[{offset.get_text()}]" if offset.get_text() else ""))
+        offset.set_visible(False)
+    for ax in axes[:, 0]:
+        offset = ax.get_yaxis().get_offset_text()
+        ax.set_ylabel("{} {}".format(ax.get_ylabel(), f"[{offset.get_text()}]" if offset.get_text() else ""))
+        offset.set_visible(False)
+
+    if self.config.watermark is not None:
+        ax_watermark = axes[-1, 0] if flip and len(base.columns) == 2 else None
+        add_watermark(fig, ax_watermark, fig_size, self.config)
+
+    self._save_fig(fig, filename, dpi=self.config.dpi)
+
+    return fig
+
+
+
+ +
+ + +
+ + + +

+ set_config + + +

+
set_config(config: PlotConfig) -> None
+
+ +
+ +

Sets the plot config to the chosen PlotConfig model.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
config + PlotConfig + +
+

The config to use

+
+ 		+ required +
+ +
+ Source code in src/chainconsumer/plotter.py + 
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def set_config(self, config: PlotConfig) -> None:
+    """Sets the plot config to the chosen `PlotConfig` model.
+
+    Args:
+        config: The config to use
+
+    """
+    self._config = config
+
+
+
+ +
+ + +
+ + + +

+ plot_walks + + +

+
plot_walks(chains: list[ChainName | Chain] | None = None, columns: list[ColumnName] | None = None, filename: list[str | Path] | str | Path | None = None, figsize: float | tuple[float, float] | None = None, convolve: int | None = None, plot_weights: bool = True, plot_posterior: bool = True, log_weight: bool = False) -> Figure
+
+ +
+ +

Plots the chain walk; the parameter values as a function of step index.

+

This plot is more for a sanity or consistency check than for use with final results. +Plotting this before plotting with :func:plot allows you to quickly see if the +chains are well behaved, or if certain parameters are suspect +or require a greater burn in period.

+

The desired outcome is to see an unchanging distribution along the x-axis of the plot. +If there are obvious tails or features in the parameters, you probably want +to investigate.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
chains + list[ChainName | Chain] | None + +
+

Used to specify which chain to show if more than one chain is loaded in. +Can be an integer, specifying the +chain index, or a str, specifying the chain name.

+
+ 		+ None +
columns + list[ColumnName] | None + +
+

If set, only creates a plot for those specific parameters (if list). If an +integer is given, only plots the fist so many parameters.

+
+ 		+ None +
filename + list[str | Path] | str | Path | None + +
+

If set, saves the figure to this location

+
+ 		+ None +
figsize + float | tuple[float, float] | None + +
+

Scale horizontal and vertical figure size.

+
+ 		+ None +
col_wrap + +
+

How many columns to plot before wrapping.

+
+ 		+ required +
convolve + int | None + +
+

If set, overplots a smoothed version of the steps using convolve as +the width of the smoothing filter.

+
+ 		+ None +
plot_weights + bool + +
+

If true, plots the weight if they are available

+
+ 		+ True +
plot_posterior + bool + +
+

If true, plots the log posterior if they are available

+
+ 		+ True +
log_weight + bool + +
+

Whether to display weights in log space or not. If None, the value is +inferred by the mean weights of the plotted chains.

+
+ 		+ False +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Figure + +
+

the matplotlib figure created

+
+
+ +
+ Source code in src/chainconsumer/plotter.py + 
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def plot_walks(
+    self,
+    chains: list[ChainName | Chain] | None = None,
+    columns: list[ColumnName] | None = None,
+    filename: list[str | Path] | str | Path | None = None,
+    figsize: float | tuple[float, float] | None = None,
+    convolve: int | None = None,
+    plot_weights: bool = True,
+    plot_posterior: bool = True,
+    log_weight: bool = False,
+) -> Figure:  # pragma: no cover
+    """Plots the chain walk; the parameter values as a function of step index.
+
+    This plot is more for a sanity or consistency check than for use with final results.
+    Plotting this before plotting with :func:`plot` allows you to quickly see if the
+    chains are well behaved, or if certain parameters are suspect
+    or require a greater burn in period.
+
+    The desired outcome is to see an unchanging distribution along the x-axis of the plot.
+    If there are obvious tails or features in the parameters, you probably want
+    to investigate.
+
+    Args:
+        chains:
+            Used to specify which chain to show if more than one chain is loaded in.
+            Can be an integer, specifying the
+            chain index, or a str, specifying the chain name.
+        columns:
+            If set, only creates a plot for those specific parameters (if list). If an
+            integer is given, only plots the fist so many parameters.
+        filename:
+            If set, saves the figure to this location
+        figsize:
+            Scale horizontal and vertical figure size.
+        col_wrap:
+            How many columns to plot before wrapping.
+        convolve:
+            If set, overplots a smoothed version of the steps using ``convolve`` as
+            the width of the smoothing filter.
+        plot_weights:
+            If true, plots the weight if they are available
+        plot_posterior:
+            If true, plots the log posterior if they are available
+        log_weight:
+            Whether to display weights in log space or not. If None, the value is
+            inferred by the mean weights of the plotted chains.
+
+    Returns:
+        the matplotlib figure created
+
+    """
+
+    base = self._sanitise(
+        chains,
+        columns,
+        self.config.extents,
+        blind=self.config.blind,
+        log_scales=self.config.log_scales,
+    )
+
+    n = len(base.columns)
+    extra = 0
+
+    plot_posterior = plot_posterior and any([c.log_posterior is not None for c in base.chains])
+    if plot_weights:
+        extra += 1
+    if plot_posterior:
+        extra += 1
+
+    if figsize is None:
+        fig_size = (8, 0.75 + (n + extra))
+    elif isinstance(figsize, float | int):
+        fig_size = (figsize, figsize)
+    else:
+        fig_size = figsize
+
+    fig, axes = plt.subplots(figsize=fig_size, nrows=n + extra, squeeze=False, sharex=True)
+    max_points = 100000
+    for i, axes_row in enumerate(axes):
+        ax = axes_row[0]
+        if i >= extra:
+            p = base.columns[i - extra]
+            for chain in base.chains:
+                if p in chain.data_columns:
+                    chain_row = chain.get_data(p)
+                    if len(chain_row) > max_points:
+                        chain_row = chain_row[:: int(len(chain_row) / max_points)]
+                    log = p in base.log_scales
+                    self._plot_walk(
+                        ax,
+                        p,
+                        chain_row,
+                        extents=base.extents.get(p),
+                        convolve=convolve,
+                        color=colors.format(chain.color),
+                        log_scale=log,
+                    )
+            for truth in self.parent._truths:
+                if p in truth.location:
+                    self._plot_walk_truth(ax, truth, p)
+
+            if p in base.blind:
+                ax.set_yticks([])
+        else:  # noqa: PLR5501
+            if i == 0 and plot_posterior:
+                for chain in base.chains:
+                    if chain.log_posterior is not None:
+                        posterior = chain.log_posterior - chain.log_posterior.max()
+                        if len(posterior) > max_points:
+                            posterior = posterior[:: int(len(posterior) / max_points)]
+
+                        self._plot_walk(
+                            ax,
+                            r"$\log(P)$",
+                            posterior,
+                            convolve=convolve,
+                            color=colors.format(chain.color),
+                        )
+            else:
+                label = r"$\log_{10}$Weight" if log_weight else "Weight"
+
+                for chain in base.chains:
+                    if chain.weights is not None:
+                        weights = chain.weights
+                        if len(weights) > max_points:
+                            weights = weights[:: int(len(weights) / max_points)]
+                        self._plot_walk(
+                            ax,
+                            label,
+                            np.log10(weights) if log_weight else weights,  # type: ignore
+                            convolve=convolve,
+                            color=colors.format(chain.color),
+                        )
+
+    add_watermark(fig, None, fig_size, self.config, size_scale=0.8)
+    self._save_fig(fig, filename, dpi=self.config.dpi)
+
+    return fig
+
+
+
+ +
+ + +
+ + + +

+ plot_distributions + + +

+
plot_distributions(chains: list[ChainName | Chain] | None = None, columns: list[ColumnName] | None = None, filename: list[str | Path] | str | Path | None = None, col_wrap: int = 4, figsize: float | tuple[float, float] | None = None) -> Figure
+
+ +
+ +

Plots the 1D parameter distributions for verification purposes.

+

This plot is more for a sanity or consistency check than for use with final results. +Plotting this before plotting with :func:plot allows you to quickly see if the +chains give well behaved distributions, or if certain parameters are suspect +or require a greater burn in period.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
chains + list[ChainName | Chain] | None + +
+

Used to specify which chain to show if more than one chain is loaded in. +Can be an integer, specifying the +chain index, or a str, specifying the chain name.

+
+ 		+ None +
columns + list[ColumnName] | None + +
+

If set, only creates a plot for those specific parameters (if list). If an +integer is given, only plots the fist so many parameters.

+
+ 		+ None +
filename + list[str | Path] | str | Path | None + +
+

If set, saves the figure to this location

+
+ 		+ None +
figsize + float | tuple[float, float] | None + +
+

Scale horizontal and vertical figure size.

+
+ 		+ None +
col_wrap + int + +
+

How many columns to plot before wrapping.

+
+ 		+ 4 +
+ + + +

Returns:

+ + + + + + + + + + + + + +
TypeDescription
+ Figure + +
+

the matplotlib figure created

+
+
+ +
+ Source code in src/chainconsumer/plotter.py + 
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def plot_distributions(
+    self,
+    chains: list[ChainName | Chain] | None = None,
+    columns: list[ColumnName] | None = None,
+    filename: list[str | Path] | str | Path | None = None,
+    col_wrap: int = 4,
+    figsize: float | tuple[float, float] | None = None,
+) -> Figure:  # pragma: no cover
+    """Plots the 1D parameter distributions for verification purposes.
+
+    This plot is more for a sanity or consistency check than for use with final results.
+    Plotting this before plotting with :func:`plot` allows you to quickly see if the
+    chains give well behaved distributions, or if certain parameters are suspect
+    or require a greater burn in period.
+
+    Args:
+        chains:
+            Used to specify which chain to show if more than one chain is loaded in.
+            Can be an integer, specifying the
+            chain index, or a str, specifying the chain name.
+        columns:
+            If set, only creates a plot for those specific parameters (if list). If an
+            integer is given, only plots the fist so many parameters.
+        filename:
+            If set, saves the figure to this location
+        figsize:
+            Scale horizontal and vertical figure size.
+        col_wrap:
+            How many columns to plot before wrapping.
+
+    Returns:
+        the matplotlib figure created
+
+    """
+    base = self._sanitise(
+        chains,
+        columns,
+        self.config.extents,
+        blind=self.config.blind,
+        log_scales=self.config.log_scales,
+    )
+
+    n = len(base.columns)
+    num_cols = min(n, col_wrap)
+    num_rows = int(np.ceil(1.0 * n / col_wrap))
+
+    if figsize is None:
+        figsize = 1.0
+    if isinstance(figsize, float | int):
+        figsize_float = figsize
+        figsize = (num_cols * 2.5 * figsize, num_rows * 2.5 * figsize)
+    else:
+        figsize_float = 1.0
+
+    summary = self.config.summarise and len(base.chains) == 1
+    hspace = (0.8 if summary else 0.5) / figsize_float
+    fig, axes = plt.subplots(nrows=num_rows, ncols=num_cols, figsize=figsize, squeeze=False)
+    fig.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.1, wspace=0.05, hspace=hspace)
+
+    formatter = ScalarFormatter(useOffset=False)
+    formatter.set_powerlimits((-3, 4))
+
+    for i, ax in enumerate(axes.flatten()):
+        if i >= n:
+            ax.set_axis_off()
+            continue
+        p = base.columns[i]
+
+        ax.set_yticks([])
+        if p in base.log_scales:
+            ax.set_xscale("log")
+        if p in base.blind:
+            ax.set_xticks([])
+        else:
+            if self.config.diagonal_tick_labels:
+                _ = [label.set_rotation(45) for label in ax.get_xticklabels()]
+            _ = [label.set_fontsize(self.config.tick_font_size) for label in ax.get_xticklabels()]
+
+            if p in base.log_scales:
+                ax.xaxis.set_major_locator(LogLocator(numticks=self.config.max_ticks))
+            else:
+                ax.xaxis.set_major_locator(MaxNLocator(self.config.max_ticks, prune="lower"))
+                ax.xaxis.set_major_formatter(formatter)
+        ax.set_xlim(base.extents.get(p) or self._get_parameter_extents(p, base.chains))
+
+        max_val = -np.inf
+        for chain in base.chains:
+            if not chain.plot_contour:
+                continue
+            if p in chain.plotting_columns:
+                param_summary = summary and p not in base.blind
+                m = self._plot_bars(ax, p, chain, summary=param_summary)
+                if max_val is None or m > max_val:
+                    max_val = m
+        plot_truths(ax, self.parent._truths, py=p)
+        ax.set_ylim(0, 1.1 * max_val)
+        ax.set_xlabel(p, fontsize=self.config.label_font_size)
+
+    add_watermark(fig, None, figsize, self.config, size_scale=0.8)
+    self._save_fig(fig, filename, dpi=self.config.dpi)
+    return fig
+
+
+
+ +
+ + +
+ + + +

+ plot_summary + + +

+
plot_summary(chains: list[ChainName | Chain] | None = None, columns: list[ColumnName] | None = None, filename: list[str | Path] | str | Path | None = None, figsize: float = 1.0, errorbar: bool = False, extra_parameter_spacing: float = 1.0, vertical_spacing_ratio: float = 1.0) -> Figure
+
+ +
+ +

Plots parameter summaries

+

This plot is more for a sanity or consistency check than for use with final results. +Plotting this before plotting with :func:plot allows you to quickly see if the +chains give well behaved distributions, or if certain parameters are suspect +or require a greater burn in period.

+ + + +

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
chains + list[ChainName | Chain] | None + +
+

Used to specify which chain to show if more than one chain is loaded in. +Can be an integer, specifying the +chain index, or a str, specifying the chain name.

+
+ 		+ None +
columns + list[ColumnName] | None + +
+

If set, only creates a plot for those specific parameters (if list). If an +integer is given, only plots the fist so many parameters.

+
+ 		+ None +
filename + list[str | Path] | str | Path | None + +
+

If set, saves the figure to this location

+
+ 		+ None +
figsize + float + +
+

Scale horizontal and vertical figure size.

+
+ 		+ 1.0 +
errorbar + bool + +
+

Whether to onle plot an error bar, instead of the marginalised distribution.

+
+ 		+ False +
include_truth_chain + +
+

If you specify another chain as the truth chain, determine if it should still +be plotted.

+
+ 		+ required +
extra_parameter_spacing + float + +
+

Increase horizontal space for parameter values

+
+ 		+ 1.0 +
vertical_spacing_ratio + float + +
+

Increase vertical space for each model

+
+ 		+ 1.0 +
+

Returns: + the matplotlib figure created

+ +
+ Source code in src/chainconsumer/plotter.py + 
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def plot_summary(
+    self,
+    chains: list[ChainName | Chain] | None = None,
+    columns: list[ColumnName] | None = None,
+    filename: list[str | Path] | str | Path | None = None,
+    figsize: float = 1.0,
+    errorbar: bool = False,
+    extra_parameter_spacing: float = 1.0,
+    vertical_spacing_ratio: float = 1.0,
+) -> Figure:  # pragma: no cover
+    """Plots parameter summaries
+
+    This plot is more for a sanity or consistency check than for use with final results.
+    Plotting this before plotting with :func:`plot` allows you to quickly see if the
+    chains give well behaved distributions, or if certain parameters are suspect
+    or require a greater burn in period.
+
+    Args:
+        chains:
+            Used to specify which chain to show if more than one chain is loaded in.
+            Can be an integer, specifying the
+            chain index, or a str, specifying the chain name.
+        columns:
+            If set, only creates a plot for those specific parameters (if list). If an
+            integer is given, only plots the fist so many parameters.
+        filename:
+            If set, saves the figure to this location
+        figsize:
+            Scale horizontal and vertical figure size.
+        errorbar:
+            Whether to onle plot an error bar, instead of the marginalised distribution.
+        include_truth_chain:
+            If you specify another chain as the truth chain, determine if it should still
+            be plotted.
+        extra_parameter_spacing:
+            Increase horizontal space for parameter values
+        vertical_spacing_ratio:
+            Increase vertical space for each model
+    Returns:
+        the matplotlib figure created
+
+    """
+    wide_extents = not errorbar
+    base = self._sanitise(
+        chains,
+        columns,
+        self.config.extents,
+        blind=self.config.blind,
+        log_scales=self.config.log_scales,
+        wide_extents=wide_extents,
+    )
+
+    # We have a bit of fun to go from chain names to the width of the
+    # subplot used to display said names
+    max_param = self._get_size_of_texts(base.columns)
+    fid_dpi = 65  # Seriously I have no idea what value this should be
+    param_width = extra_parameter_spacing + max(0.5, max_param / fid_dpi)
+    max_model_name = self._get_size_of_texts([chain.name for chain in base.chains])
+    model_width = 0.25 + (max_model_name / fid_dpi)
+    gridspec_kw = {
+        "width_ratios": [model_width] + [param_width] * len(base.columns),
+        "height_ratios": [1] * len(base.chains),
+    }
+    ncols = 1 + len(base.columns)
+    top_spacing = 0.3
+    bottom_spacing = 0.2
+    row_height = (0.5 if errorbar else 0.8) * vertical_spacing_ratio
+    width = param_width * len(base.columns) + model_width
+    height = top_spacing + bottom_spacing + row_height * len(base.chains)
+    top_ratio = 1 - (top_spacing / height)
+    bottom_ratio = bottom_spacing / height
+
+    fig_size = (width * figsize, height * figsize)
+    fig, axes = plt.subplots(
+        nrows=len(base.chains), ncols=ncols, figsize=fig_size, squeeze=False, gridspec_kw=gridspec_kw
+    )
+    fig.subplots_adjust(left=0.05, right=0.95, top=top_ratio, bottom=bottom_ratio, wspace=0.0, hspace=0.0)
+    label_font_size = self.config.label_font_size
+    legend_color_text = self.config.legend_color_text
+
+    max_vals: dict[ColumnName, float] = {}
+    num_chains = len(base.chains)
+    for i, axes_row in enumerate(axes):
+        chain = base.chains[i]
+        colour = colors.format(chain.color)
+
+        # First one put name of model
+        ax_first = axes_row[0]
+        ax_first.set_axis_off()
+        text_colour = "k" if not legend_color_text else colour
+        ax_first.text(
+            0,
+            0.5,
+            chain.name,
+            transform=ax_first.transAxes,
+            fontsize=label_font_size,
+            verticalalignment="center",
+            color=text_colour,
+            weight="medium",
+        )
+        axes_for_summaries = axes_row[1:]
+
+        for ax, p in zip(axes_for_summaries, base.columns):
+            # Set up the frames
+            if i > 0:
+                ax.spines["top"].set_visible(False)
+            if i < (num_chains - 1):
+                ax.spines["bottom"].set_visible(False)
+            if i < (num_chains - 1) or p in base.blind:
+                ax.set_xticks([])
+            ax.set_yticks([])
+            ax.set_xlim(base.extents[p])
+            if p in base.log_scales:
+                ax.set_xscale("log")
+
+            # Put title in
+            if i == 0:
+                ax.set_title(self.config.get_label(p), fontsize=label_font_size)
+
+            # Add truth values
+            for truth in self.parent._truths:
+                truth_value = truth.location.get(p)
+                if truth_value is not None:
+                    ax.axvline(truth_value, **truth._kwargs)
+
+            # Skip if this chain doesnt have the parameter
+            if p not in chain.data_columns:
+                continue
+
+            # Plot the good stuff
+            if errorbar:
+                fv = self.parent.analysis.get_parameter_summary(chain, p)
+                if fv is None or fv.all_none:
+                    continue
+                if fv.lower is not None and fv.upper is not None:
+                    diff = np.abs(np.diff(fv.array))
+                    ax.errorbar([fv.center], 0, xerr=[[diff[0]], [diff[1]]], fmt="o", color=colour)
+            else:
+                m = self._plot_bars(ax, p, chain)
+                if max_vals.get(p) is None or m > max_vals[p]:
+                    max_vals[p] = m
+
+    for i, axes_row in enumerate(axes):
+        for ax, p in zip(axes_row, base.columns):
+            if not errorbar:
+                ax.set_ylim(0, 1.1 * max_vals[p])
+
+    add_watermark(fig, None, fig_size, self.config, size_scale=0.8)
+    self._save_fig(fig, filename, dpi=self.config.dpi)
+
+    return fig
+
+
+
+ +
+ + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/api/truth/index.html b/api/truth/index.html new file mode 100644 index 00000000..8ba978c9 --- /dev/null +++ b/api/truth/index.html @@ -0,0 +1,1435 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + Truth - ChainConsumer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
+
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + +
+ + + +

+ chainconsumer.Truth + + +

+ + +
+

+ Bases: BetterBase

+ + +
+ Source code in src/chainconsumer/truth.py + 
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class Truth(BetterBase):
+    location: dict[str, float] = Field(
+        default=...,
+        description="The truth value, either as dictionary or pandas series which will be converted to a dict)",
+    )
+    name: str | None = Field(default=None, description="The name of the truth line")
+    color: ColorInput = Field(default="black", description="The color of the truth line")
+    line_width: float = Field(default=1.0, description="The width of the truth line")
+    line_style: str = Field(default="--", description="The style of the truth line")
+    alpha: float = Field(default=1.0, description="The alpha of the truth line")
+    zorder: int = Field(default=100, description="The zorder of the truth line")
+
+    @field_validator("location")
+    @classmethod
+    def _ensure_dict(cls, v):
+        if isinstance(v, dict):
+            return v
+        elif isinstance(v, pd.Series):
+            return v.to_dict()
+        raise ValidationError("Truth must be a dict or a pandas Series")
+
+    @property
+    def _kwargs(self) -> dict[str, Any]:
+        return {
+            "ls": self.line_style,
+            "c": self.color,
+            "lw": self.line_width,
+            "alpha": self.alpha,
+            "zorder": self.zorder,
+        }
+
+
+ + + +
+ + + + + + + +
+ + + +

+ location + + + + class-attribute + instance-attribute + + +

+
location: dict[str, float] = Field(default=..., description='The truth value, either as dictionary or pandas series which will be converted to a dict)')
+
+ +
+
+ +
+ +
+ + + +

+ name + + + + class-attribute + instance-attribute + + +

+
name: str | None = Field(default=None, description='The name of the truth line')
+
+ +
+
+ +
+ +
+ + + +

+ color + + + + class-attribute + instance-attribute + + +

+
color: ColorInput = Field(default='black', description='The color of the truth line')
+
+ +
+
+ +
+ +
+ + + +

+ line_width + + + + class-attribute + instance-attribute + + +

+
line_width: float = Field(default=1.0, description='The width of the truth line')
+
+ +
+
+ +
+ +
+ + + +

+ line_style + + + + class-attribute + instance-attribute + + +

+
line_style: str = Field(default='--', description='The style of the truth line')
+
+ +
+
+ +
+ +
+ + + +

+ alpha + + + + class-attribute + instance-attribute + + +

+
alpha: float = Field(default=1.0, description='The alpha of the truth line')
+
+ +
+
+ +
+ +
+ + + +

+ zorder + + + + class-attribute + instance-attribute + + +

+
zorder: int = Field(default=100, description='The zorder of the truth line')
+
+ +
+
+ +
+ + + + + +
+ +
+ + +
+ + + + + + + + + + + + + +
+
+ + + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/assets/_mkdocstrings.css b/assets/_mkdocstrings.css new file mode 100644 index 00000000..57a23e10 --- /dev/null +++ b/assets/_mkdocstrings.css @@ -0,0 +1,114 @@ + +/* Avoid breaking parameter names, etc. in table cells. */ +.doc-contents td code { + word-break: normal !important; +} + +/* No line break before first paragraph of descriptions. */ +.doc-md-description, +.doc-md-description>p:first-child { + display: inline; +} + +/* Max width for docstring sections tables. */ +.doc .md-typeset__table, +.doc .md-typeset__table table { + display: table !important; + width: 100%; +} + +.doc .md-typeset__table tr { + display: table-row; +} + +/* Defaults in Spacy table style. */ +.doc-param-default { + float: right; +} + +/* Symbols in Navigation and ToC. */ +:root, +[data-md-color-scheme="default"] { + --doc-symbol-attribute-fg-color: #953800; + --doc-symbol-function-fg-color: #8250df; + --doc-symbol-method-fg-color: #8250df; + --doc-symbol-class-fg-color: #0550ae; + --doc-symbol-module-fg-color: #5cad0f; + + --doc-symbol-attribute-bg-color: #9538001a; + --doc-symbol-function-bg-color: #8250df1a; + --doc-symbol-method-bg-color: #8250df1a; + --doc-symbol-class-bg-color: #0550ae1a; + --doc-symbol-module-bg-color: #5cad0f1a; +} + +[data-md-color-scheme="slate"] { + --doc-symbol-attribute-fg-color: #ffa657; + --doc-symbol-function-fg-color: #d2a8ff; + --doc-symbol-method-fg-color: #d2a8ff; + --doc-symbol-class-fg-color: #79c0ff; + --doc-symbol-module-fg-color: #baff79; + + --doc-symbol-attribute-bg-color: #ffa6571a; + --doc-symbol-function-bg-color: #d2a8ff1a; + --doc-symbol-method-bg-color: #d2a8ff1a; + --doc-symbol-class-bg-color: #79c0ff1a; + --doc-symbol-module-bg-color: #baff791a; +} + +code.doc-symbol { + border-radius: .1rem; + font-size: .85em; + padding: 0 .3em; + font-weight: bold; +} + +code.doc-symbol-attribute { + color: var(--doc-symbol-attribute-fg-color); + background-color: var(--doc-symbol-attribute-bg-color); +} + +code.doc-symbol-attribute::after { + content: "attr"; +} + +code.doc-symbol-function { + color: var(--doc-symbol-function-fg-color); + background-color: var(--doc-symbol-function-bg-color); +} + +code.doc-symbol-function::after { + content: "func"; +} + +code.doc-symbol-method { + color: var(--doc-symbol-method-fg-color); + background-color: var(--doc-symbol-method-bg-color); +} + +code.doc-symbol-method::after { + content: "meth"; +} + +code.doc-symbol-class { + color: var(--doc-symbol-class-fg-color); + background-color: var(--doc-symbol-class-bg-color); +} + +code.doc-symbol-class::after { + content: "class"; +} + +code.doc-symbol-module { + color: var(--doc-symbol-module-fg-color); + background-color: var(--doc-symbol-module-bg-color); +} + +code.doc-symbol-module::after { + content: "mod"; +} + +.doc-signature .autorefs { + color: inherit; + border-bottom: 1px dotted currentcolor; +} diff --git a/assets/images/favicon.png 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I(...e).pipe(oe(o=>d(o,"change").pipe(m(()=>o))),Q(e[r]),m(o=>({index:e.indexOf(o),color:{media:o.getAttribute("data-md-color-media"),scheme:o.getAttribute("data-md-color-scheme"),primary:o.getAttribute("data-md-color-primary"),accent:o.getAttribute("data-md-color-accent")}})),B(1))}function Kn(e){let t=$("input",e),r=E("meta",{name:"theme-color"});document.head.appendChild(r);let o=E("meta",{name:"color-scheme"});document.head.appendChild(o);let n=$t("(prefers-color-scheme: light)");return C(()=>{let i=new g;return i.subscribe(a=>{if(document.body.setAttribute("data-md-color-switching",""),a.color.media==="(prefers-color-scheme)"){let s=matchMedia("(prefers-color-scheme: light)"),p=document.querySelector(s.matches?"[data-md-color-media='(prefers-color-scheme: light)']":"[data-md-color-media='(prefers-color-scheme: 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Gr=Vt(Yr());function Ga(e){e.setAttribute("data-md-copying","");let t=e.closest("[data-copy]"),r=t?t.getAttribute("data-copy"):e.innerText;return e.removeAttribute("data-md-copying"),r.trimEnd()}function Bn({alert$:e}){Gr.default.isSupported()&&new F(t=>{new Gr.default("[data-clipboard-target], [data-clipboard-text]",{text:r=>r.getAttribute("data-clipboard-text")||Ga(P(r.getAttribute("data-clipboard-target")))}).on("success",r=>t.next(r))}).pipe(y(t=>{t.trigger.focus()}),m(()=>ye("clipboard.copied"))).subscribe(e)}function Gn(e,t){return e.protocol=t.protocol,e.hostname=t.hostname,e}function Ja(e,t){let r=new Map;for(let o of $("url",e)){let n=P("loc",o),i=[Gn(new URL(n.textContent),t)];r.set(`${i[0]}`,i);for(let a of $("[rel=alternate]",o)){let s=a.getAttribute("href");s!=null&&i.push(Gn(new URL(s),t))}}return r}function ur(e){return mn(new URL("sitemap.xml",e)).pipe(m(t=>Ja(t,new URL(e))),ve(()=>I(new Map)))}function Xa(e,t){if(!(e.target instanceof Element))return M;let 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g,o=r.pipe(X(),ne(!0));z([t.pipe(Ae(It)),r],(i,a)=>a).pipe(Z("value")).subscribe(({value:i})=>t.next({type:2,data:i})),r.pipe(Z("focus")).subscribe(({focus:i})=>{i&&Je("search",i)}),d(e.form,"reset").pipe(U(o)).subscribe(()=>e.focus());let n=P("header [for=__search]");return d(n,"click").subscribe(()=>e.focus()),ns(e,{worker$:t}).pipe(y(i=>r.next(i)),L(()=>r.complete()),m(i=>R({ref:e},i)),B(1))}function si(e,{worker$:t,query$:r}){let o=new g,n=tn(e.parentElement).pipe(b(Boolean)),i=e.parentElement,a=P(":scope > :first-child",e),s=P(":scope > :last-child",e);Ve("search").subscribe(l=>s.setAttribute("role",l?"list":"presentation")),o.pipe(ee(r),Ur(t.pipe(Ae(It)))).subscribe(([{items:l},{value:f}])=>{switch(l.length){case 0:a.textContent=f.length?ye("search.result.none"):ye("search.result.placeholder");break;case 1:a.textContent=ye("search.result.one");break;default:let u=sr(l.length);a.textContent=ye("search.result.other",u)}});let p=o.pipe(y(()=>s.innerHTML=""),v(({items:l})=>S(I(...l.slice(0,10)),I(...l.slice(10)).pipe(Ye(4),Vr(n),v(([f])=>f)))),m(Tn),pe());return p.subscribe(l=>s.appendChild(l)),p.pipe(oe(l=>{let f=fe("details",l);return typeof f=="undefined"?M:d(f,"toggle").pipe(U(o),m(()=>f))})).subscribe(l=>{l.open===!1&&l.offsetTop<=i.scrollTop&&i.scrollTo({top:l.offsetTop})}),t.pipe(b(dr),m(({data:l})=>l)).pipe(y(l=>o.next(l)),L(()=>o.complete()),m(l=>R({ref:e},l)))}function is(e,{query$:t}){return t.pipe(m(({value:r})=>{let o=xe();return o.hash="",r=r.replace(/\s+/g,"+").replace(/&/g,"%26").replace(/=/g,"%3D"),o.search=`q=${r}`,{url:o}}))}function ci(e,t){let r=new g,o=r.pipe(X(),ne(!0));return r.subscribe(({url:n})=>{e.setAttribute("data-clipboard-text",e.href),e.href=`${n}`}),d(e,"click").pipe(U(o)).subscribe(n=>n.preventDefault()),is(e,t).pipe(y(n=>r.next(n)),L(()=>r.complete()),m(n=>R({ref:e},n)))}function pi(e,{worker$:t,keyboard$:r}){let o=new g,n=Se("search-query"),i=S(d(n,"keydown"),d(n,"focus")).pipe(be(se),m(()=>n.value),K());return o.pipe(We(i),m(([{suggest:s},p])=>{let c=p.split(/([\s-]+)/);if(s!=null&&s.length&&c[c.length-1]){let l=s[s.length-1];l.startsWith(c[c.length-1])&&(c[c.length-1]=l)}else c.length=0;return c})).subscribe(s=>e.innerHTML=s.join("").replace(/\s/g," ")),r.pipe(b(({mode:s})=>s==="search")).subscribe(s=>{switch(s.type){case"ArrowRight":e.innerText.length&&n.selectionStart===n.value.length&&(n.value=e.innerText);break}}),t.pipe(b(dr),m(({data:s})=>s)).pipe(y(s=>o.next(s)),L(()=>o.complete()),m(()=>({ref:e})))}function li(e,{index$:t,keyboard$:r}){let o=Te();try{let n=ni(o.search,t),i=Se("search-query",e),a=Se("search-result",e);d(e,"click").pipe(b(({target:p})=>p instanceof Element&&!!p.closest("a"))).subscribe(()=>Je("search",!1)),r.pipe(b(({mode:p})=>p==="search")).subscribe(p=>{let c=Re();switch(p.type){case"Enter":if(c===i){let l=new Map;for(let f of $(":first-child [href]",a)){let u=f.firstElementChild;l.set(f,parseFloat(u.getAttribute("data-md-score")))}if(l.size){let[[f]]=[...l].sort(([,u],[,h])=>h-u);f.click()}p.claim()}break;case"Escape":case"Tab":Je("search",!1),i.blur();break;case"ArrowUp":case"ArrowDown":if(typeof c=="undefined")i.focus();else{let l=[i,...$(":not(details) > [href], summary, details[open] [href]",a)],f=Math.max(0,(Math.max(0,l.indexOf(c))+l.length+(p.type==="ArrowUp"?-1:1))%l.length);l[f].focus()}p.claim();break;default:i!==Re()&&i.focus()}}),r.pipe(b(({mode:p})=>p==="global")).subscribe(p=>{switch(p.type){case"f":case"s":case"/":i.focus(),i.select(),p.claim();break}});let s=ai(i,{worker$:n});return S(s,si(a,{worker$:n,query$:s})).pipe(Pe(...ae("search-share",e).map(p=>ci(p,{query$:s})),...ae("search-suggest",e).map(p=>pi(p,{worker$:n,keyboard$:r}))))}catch(n){return e.hidden=!0,Ke}}function mi(e,{index$:t,location$:r}){return z([t,r.pipe(Q(xe()),b(o=>!!o.searchParams.get("h")))]).pipe(m(([o,n])=>oi(o.config)(n.searchParams.get("h"))),m(o=>{var a;let n=new Map,i=document.createNodeIterator(e,NodeFilter.SHOW_TEXT);for(let s=i.nextNode();s;s=i.nextNode())if((a=s.parentElement)!=null&&a.offsetHeight){let p=s.textContent,c=o(p);c.length>p.length&&n.set(s,c)}for(let[s,p]of n){let{childNodes:c}=E("span",null,p);s.replaceWith(...Array.from(c))}return{ref:e,nodes:n}}))}function as(e,{viewport$:t,main$:r}){let o=e.closest(".md-grid"),n=o.offsetTop-o.parentElement.offsetTop;return z([r,t]).pipe(m(([{offset:i,height:a},{offset:{y:s}}])=>(a=a+Math.min(n,Math.max(0,s-i))-n,{height:a,locked:s>=i+n})),K((i,a)=>i.height===a.height&&i.locked===a.locked))}function Jr(e,o){var n=o,{header$:t}=n,r=io(n,["header$"]);let i=P(".md-sidebar__scrollwrap",e),{y:a}=Ue(i);return C(()=>{let s=new g,p=s.pipe(X(),ne(!0)),c=s.pipe(Le(0,me));return c.pipe(ee(t)).subscribe({next([{height:l},{height:f}]){i.style.height=`${l-2*a}px`,e.style.top=`${f}px`},complete(){i.style.height="",e.style.top=""}}),c.pipe(Ae()).subscribe(()=>{for(let l of $(".md-nav__link--active[href]",e)){if(!l.clientHeight)continue;let f=l.closest(".md-sidebar__scrollwrap");if(typeof f!="undefined"){let u=l.offsetTop-f.offsetTop,{height:h}=ce(f);f.scrollTo({top:u-h/2})}}}),ue($("label[tabindex]",e)).pipe(oe(l=>d(l,"click").pipe(be(se),m(()=>l),U(p)))).subscribe(l=>{let f=P(`[id="${l.htmlFor}"]`);P(`[aria-labelledby="${l.id}"]`).setAttribute("aria-expanded",`${f.checked}`)}),as(e,r).pipe(y(l=>s.next(l)),L(()=>s.complete()),m(l=>R({ref:e},l)))})}function fi(e,t){if(typeof t!="undefined"){let r=`https://api.github.com/repos/${e}/${t}`;return Ct(Ne(`${r}/releases/latest`).pipe(ve(()=>M),m(o=>({version:o.tag_name})),Be({})),Ne(r).pipe(ve(()=>M),m(o=>({stars:o.stargazers_count,forks:o.forks_count})),Be({}))).pipe(m(([o,n])=>R(R({},o),n)))}else{let r=`https://api.github.com/users/${e}`;return Ne(r).pipe(m(o=>({repositories:o.public_repos})),Be({}))}}function ui(e,t){let r=`https://${e}/api/v4/projects/${encodeURIComponent(t)}`;return Ne(r).pipe(ve(()=>M),m(({star_count:o,forks_count:n})=>({stars:o,forks:n})),Be({}))}function di(e){let t=e.match(/^.+github\.com\/([^/]+)\/?([^/]+)?/i);if(t){let[,r,o]=t;return fi(r,o)}if(t=e.match(/^.+?([^/]*gitlab[^/]+)\/(.+?)\/?$/i),t){let[,r,o]=t;return ui(r,o)}return M}var ss;function cs(e){return ss||(ss=C(()=>{let t=__md_get("__source",sessionStorage);if(t)return I(t);if(ae("consent").length){let o=__md_get("__consent");if(!(o&&o.github))return M}return di(e.href).pipe(y(o=>__md_set("__source",o,sessionStorage)))}).pipe(ve(()=>M),b(t=>Object.keys(t).length>0),m(t=>({facts:t})),B(1)))}function hi(e){let t=P(":scope > :last-child",e);return C(()=>{let r=new g;return r.subscribe(({facts:o})=>{t.appendChild(Sn(o)),t.classList.add("md-source__repository--active")}),cs(e).pipe(y(o=>r.next(o)),L(()=>r.complete()),m(o=>R({ref:e},o)))})}function ps(e,{viewport$:t,header$:r}){return ge(document.body).pipe(v(()=>mr(e,{header$:r,viewport$:t})),m(({offset:{y:o}})=>({hidden:o>=10})),Z("hidden"))}function bi(e,t){return C(()=>{let r=new g;return r.subscribe({next({hidden:o}){e.hidden=o},complete(){e.hidden=!1}}),(G("navigation.tabs.sticky")?I({hidden:!1}):ps(e,t)).pipe(y(o=>r.next(o)),L(()=>r.complete()),m(o=>R({ref:e},o)))})}function ls(e,{viewport$:t,header$:r}){let o=new Map,n=$(".md-nav__link",e);for(let s of n){let p=decodeURIComponent(s.hash.substring(1)),c=fe(`[id="${p}"]`);typeof c!="undefined"&&o.set(s,c)}let i=r.pipe(Z("height"),m(({height:s})=>{let p=Se("main"),c=P(":scope > :first-child",p);return s+.8*(c.offsetTop-p.offsetTop)}),pe());return ge(document.body).pipe(Z("height"),v(s=>C(()=>{let p=[];return 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n=t.pipe(m(({offset:{y:a}})=>a),Ye(2,1),m(([a,s])=>a>s&&s>0),K()),i=r.pipe(m(({active:a})=>a));return z([i,n]).pipe(m(([a,s])=>!(a&&s)),K(),U(o.pipe(Ce(1))),ne(!0),at({delay:250}),m(a=>({hidden:a})))}function gi(e,{viewport$:t,header$:r,main$:o,target$:n}){let i=new g,a=i.pipe(X(),ne(!0));return i.subscribe({next({hidden:s}){e.hidden=s,s?(e.setAttribute("tabindex","-1"),e.blur()):e.removeAttribute("tabindex")},complete(){e.style.top="",e.hidden=!0,e.removeAttribute("tabindex")}}),r.pipe(U(a),Z("height")).subscribe(({height:s})=>{e.style.top=`${s+16}px`}),d(e,"click").subscribe(s=>{s.preventDefault(),window.scrollTo({top:0})}),ms(e,{viewport$:t,main$:o,target$:n}).pipe(y(s=>i.next(s)),L(()=>i.complete()),m(s=>R({ref:e},s)))}function xi({document$:e,viewport$:t}){e.pipe(v(()=>$(".md-ellipsis")),oe(r=>Tt(r).pipe(U(e.pipe(Ce(1))),b(o=>o),m(()=>r),we(1))),b(r=>r.offsetWidth{let o=r.innerText,n=r.closest("a")||r;return n.title=o,pt(n,{viewport$:t}).pipe(U(e.pipe(Ce(1))),L(()=>n.removeAttribute("title")))})).subscribe(),e.pipe(v(()=>$(".md-status")),oe(r=>pt(r,{viewport$:t}))).subscribe()}function yi({document$:e,tablet$:t}){e.pipe(v(()=>$(".md-toggle--indeterminate")),y(r=>{r.indeterminate=!0,r.checked=!1}),oe(r=>d(r,"change").pipe(Dr(()=>r.classList.contains("md-toggle--indeterminate")),m(()=>r))),ee(t)).subscribe(([r,o])=>{r.classList.remove("md-toggle--indeterminate"),o&&(r.checked=!1)})}function fs(){return/(iPad|iPhone|iPod)/.test(navigator.userAgent)}function Ei({document$:e}){e.pipe(v(()=>$("[data-md-scrollfix]")),y(t=>t.removeAttribute("data-md-scrollfix")),b(fs),oe(t=>d(t,"touchstart").pipe(m(()=>t)))).subscribe(t=>{let r=t.scrollTop;r===0?t.scrollTop=1:r+t.offsetHeight===t.scrollHeight&&(t.scrollTop=r-1)})}function wi({viewport$:e,tablet$:t}){z([Ve("search"),t]).pipe(m(([r,o])=>r&&!o),v(r=>I(r).pipe(Ge(r?400:100))),ee(e)).subscribe(([r,{offset:{y:o}}])=>{if(r)document.body.setAttribute("data-md-scrolllock",""),document.body.style.top=`-${o}px`;else{let n=-1*parseInt(document.body.style.top,10);document.body.removeAttribute("data-md-scrolllock"),document.body.style.top="",n&&window.scrollTo(0,n)}})}Object.entries||(Object.entries=function(e){let t=[];for(let r of Object.keys(e))t.push([r,e[r]]);return t});Object.values||(Object.values=function(e){let t=[];for(let r of Object.keys(e))t.push(e[r]);return t});typeof Element!="undefined"&&(Element.prototype.scrollTo||(Element.prototype.scrollTo=function(e,t){typeof e=="object"?(this.scrollLeft=e.left,this.scrollTop=e.top):(this.scrollLeft=e,this.scrollTop=t)}),Element.prototype.replaceWith||(Element.prototype.replaceWith=function(...e){let t=this.parentNode;if(t){e.length===0&&t.removeChild(this);for(let r=e.length-1;r>=0;r--){let o=e[r];typeof o=="string"?o=document.createTextNode(o):o.parentNode&&o.parentNode.removeChild(o),r?t.insertBefore(this.previousSibling,o):t.replaceChild(o,this)}}}));function us(){return location.protocol==="file:"?Et(`${new URL("search/search_index.js",Xr.base)}`).pipe(m(()=>__index),B(1)):Ne(new URL("search/search_index.json",Xr.base))}document.documentElement.classList.remove("no-js");document.documentElement.classList.add("js");var rt=Yo(),jt=nn(),Ot=cn(jt),Zr=on(),Oe=bn(),hr=$t("(min-width: 960px)"),Si=$t("(min-width: 1220px)"),Oi=pn(),Xr=Te(),Mi=document.forms.namedItem("search")?us():Ke,eo=new g;Bn({alert$:eo});var to=new g;G("navigation.instant")&&Zn({location$:jt,viewport$:Oe,progress$:to}).subscribe(rt);var Ti;((Ti=Xr.version)==null?void 0:Ti.provider)==="mike"&&ii({document$:rt});S(jt,Ot).pipe(Ge(125)).subscribe(()=>{Je("drawer",!1),Je("search",!1)});Zr.pipe(b(({mode:e})=>e==="global")).subscribe(e=>{switch(e.type){case"p":case",":let t=fe("link[rel=prev]");typeof t!="undefined"&&ct(t);break;case"n":case".":let r=fe("link[rel=next]");typeof r!="undefined"&&ct(r);break;case"Enter":let o=Re();o instanceof HTMLLabelElement&&o.click()}});xi({viewport$:Oe,document$:rt});yi({document$:rt,tablet$:hr});Ei({document$:rt});wi({viewport$:Oe,tablet$:hr});var tt=Nn(Se("header"),{viewport$:Oe}),Ft=rt.pipe(m(()=>Se("main")),v(e=>Qn(e,{viewport$:Oe,header$:tt})),B(1)),ds=S(...ae("consent").map(e=>xn(e,{target$:Ot})),...ae("dialog").map(e=>Dn(e,{alert$:eo})),...ae("header").map(e=>zn(e,{viewport$:Oe,header$:tt,main$:Ft})),...ae("palette").map(e=>Kn(e)),...ae("progress").map(e=>Yn(e,{progress$:to})),...ae("search").map(e=>li(e,{index$:Mi,keyboard$:Zr})),...ae("source").map(e=>hi(e))),hs=C(()=>S(...ae("announce").map(e=>gn(e)),...ae("content").map(e=>Un(e,{viewport$:Oe,target$:Ot,print$:Oi})),...ae("content").map(e=>G("search.highlight")?mi(e,{index$:Mi,location$:jt}):M),...ae("header-title").map(e=>qn(e,{viewport$:Oe,header$:tt})),...ae("sidebar").map(e=>e.getAttribute("data-md-type")==="navigation"?Nr(Si,()=>Jr(e,{viewport$:Oe,header$:tt,main$:Ft})):Nr(hr,()=>Jr(e,{viewport$:Oe,header$:tt,main$:Ft}))),...ae("tabs").map(e=>bi(e,{viewport$:Oe,header$:tt})),...ae("toc").map(e=>vi(e,{viewport$:Oe,header$:tt,main$:Ft,target$:Ot})),...ae("top").map(e=>gi(e,{viewport$:Oe,header$:tt,main$:Ft,target$:Ot})))),Li=rt.pipe(v(()=>hs),Pe(ds),B(1));Li.subscribe();window.document$=rt;window.location$=jt;window.target$=Ot;window.keyboard$=Zr;window.viewport$=Oe;window.tablet$=hr;window.screen$=Si;window.print$=Oi;window.alert$=eo;window.progress$=to;window.component$=Li;})(); 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"sourcesContent": ["(function (global, factory) {\n typeof exports === 'object' && typeof module !== 'undefined' ? factory() :\n typeof define === 'function' && define.amd ? define(factory) :\n (factory());\n}(this, (function () { 'use strict';\n\n /**\n * Applies the :focus-visible polyfill at the given scope.\n * A scope in this case is either the top-level Document or a Shadow Root.\n *\n * @param {(Document|ShadowRoot)} scope\n * @see https://github.com/WICG/focus-visible\n */\n function applyFocusVisiblePolyfill(scope) {\n var hadKeyboardEvent = true;\n var hadFocusVisibleRecently = false;\n var hadFocusVisibleRecentlyTimeout = null;\n\n var inputTypesAllowlist = {\n text: true,\n search: true,\n url: true,\n tel: true,\n email: true,\n password: true,\n number: true,\n date: true,\n month: true,\n week: true,\n time: true,\n datetime: true,\n 'datetime-local': true\n };\n\n /**\n * Helper function for legacy browsers and iframes which sometimes focus\n * elements like document, body, and non-interactive SVG.\n * @param {Element} el\n */\n function isValidFocusTarget(el) {\n if (\n el &&\n el !== document &&\n el.nodeName !== 'HTML' &&\n el.nodeName !== 'BODY' &&\n 'classList' in el &&\n 'contains' in el.classList\n ) {\n return true;\n }\n return false;\n }\n\n /**\n * Computes whether the given element should automatically trigger the\n * `focus-visible` class being added, i.e. whether it should always match\n * `:focus-visible` when focused.\n * @param {Element} el\n * @return {boolean}\n */\n function focusTriggersKeyboardModality(el) {\n var type = el.type;\n var tagName = el.tagName;\n\n if (tagName === 'INPUT' && inputTypesAllowlist[type] && !el.readOnly) {\n return true;\n }\n\n if (tagName === 'TEXTAREA' && !el.readOnly) {\n return true;\n }\n\n if (el.isContentEditable) {\n return true;\n }\n\n return false;\n }\n\n /**\n * Add the `focus-visible` class to the given element if it was not added by\n * the author.\n * @param {Element} el\n */\n function addFocusVisibleClass(el) {\n if (el.classList.contains('focus-visible')) {\n return;\n }\n el.classList.add('focus-visible');\n el.setAttribute('data-focus-visible-added', '');\n }\n\n /**\n * Remove the `focus-visible` class from the given element if it was not\n * originally added by the author.\n * @param {Element} el\n */\n function removeFocusVisibleClass(el) {\n if (!el.hasAttribute('data-focus-visible-added')) {\n return;\n }\n el.classList.remove('focus-visible');\n el.removeAttribute('data-focus-visible-added');\n }\n\n /**\n * If the most recent user interaction was via the keyboard;\n * and the key press did not include a meta, alt/option, or control key;\n * then the modality is keyboard. Otherwise, the modality is not keyboard.\n * Apply `focus-visible` to any current active element and keep track\n * of our keyboard modality state with `hadKeyboardEvent`.\n * @param {KeyboardEvent} e\n */\n function onKeyDown(e) {\n if (e.metaKey || e.altKey || e.ctrlKey) {\n return;\n }\n\n if (isValidFocusTarget(scope.activeElement)) {\n addFocusVisibleClass(scope.activeElement);\n }\n\n hadKeyboardEvent = true;\n }\n\n /**\n * If at any point a user clicks with a pointing device, ensure that we change\n * the modality away from keyboard.\n * This avoids the situation where a user presses a key on an already focused\n * element, and then clicks on a different element, focusing it with a\n * pointing device, while we still think we're in keyboard modality.\n * @param {Event} e\n */\n function onPointerDown(e) {\n hadKeyboardEvent = false;\n }\n\n /**\n * On `focus`, add the `focus-visible` class to the target if:\n * - the target received focus as a result of keyboard navigation, or\n * - the event target is an element that will likely require interaction\n * via the keyboard (e.g. a text box)\n * @param {Event} e\n */\n function onFocus(e) {\n // Prevent IE from focusing the document or HTML element.\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (hadKeyboardEvent || focusTriggersKeyboardModality(e.target)) {\n addFocusVisibleClass(e.target);\n }\n }\n\n /**\n * On `blur`, remove the `focus-visible` class from the target.\n * @param {Event} e\n */\n function onBlur(e) {\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (\n e.target.classList.contains('focus-visible') ||\n e.target.hasAttribute('data-focus-visible-added')\n ) {\n // To detect a tab/window switch, we look for a blur event followed\n // rapidly by a visibility change.\n // If we don't see a visibility change within 100ms, it's probably a\n // regular focus change.\n hadFocusVisibleRecently = true;\n window.clearTimeout(hadFocusVisibleRecentlyTimeout);\n hadFocusVisibleRecentlyTimeout = window.setTimeout(function() {\n hadFocusVisibleRecently = false;\n }, 100);\n removeFocusVisibleClass(e.target);\n }\n }\n\n /**\n * If the user changes tabs, keep track of whether or not the previously\n * focused element had .focus-visible.\n * @param {Event} e\n */\n function onVisibilityChange(e) {\n if (document.visibilityState === 'hidden') {\n // If the tab becomes active again, the browser will handle calling focus\n // on the element (Safari actually calls it twice).\n // If this tab change caused a blur on an element with focus-visible,\n // re-apply the class when the user switches back to the tab.\n if (hadFocusVisibleRecently) {\n hadKeyboardEvent = true;\n }\n addInitialPointerMoveListeners();\n }\n }\n\n /**\n * Add a group of listeners to detect usage of any pointing devices.\n * These listeners will be added when the polyfill first loads, and anytime\n * the window is blurred, so that they are active when the window regains\n * focus.\n */\n function addInitialPointerMoveListeners() {\n document.addEventListener('mousemove', onInitialPointerMove);\n document.addEventListener('mousedown', onInitialPointerMove);\n document.addEventListener('mouseup', onInitialPointerMove);\n document.addEventListener('pointermove', onInitialPointerMove);\n document.addEventListener('pointerdown', onInitialPointerMove);\n document.addEventListener('pointerup', onInitialPointerMove);\n document.addEventListener('touchmove', onInitialPointerMove);\n document.addEventListener('touchstart', onInitialPointerMove);\n document.addEventListener('touchend', onInitialPointerMove);\n }\n\n function removeInitialPointerMoveListeners() {\n document.removeEventListener('mousemove', onInitialPointerMove);\n document.removeEventListener('mousedown', onInitialPointerMove);\n document.removeEventListener('mouseup', onInitialPointerMove);\n document.removeEventListener('pointermove', onInitialPointerMove);\n document.removeEventListener('pointerdown', onInitialPointerMove);\n document.removeEventListener('pointerup', onInitialPointerMove);\n document.removeEventListener('touchmove', onInitialPointerMove);\n document.removeEventListener('touchstart', onInitialPointerMove);\n document.removeEventListener('touchend', onInitialPointerMove);\n }\n\n /**\n * When the polfyill first loads, assume the user is in keyboard modality.\n * If any event is received from a pointing device (e.g. mouse, pointer,\n * touch), turn off keyboard modality.\n * This accounts for situations where focus enters the page from the URL bar.\n * @param {Event} e\n */\n function onInitialPointerMove(e) {\n // Work around a Safari quirk that fires a mousemove on whenever the\n // window blurs, even if you're tabbing out of the page. \u00AF\\_(\u30C4)_/\u00AF\n if (e.target.nodeName && e.target.nodeName.toLowerCase() === 'html') {\n return;\n }\n\n hadKeyboardEvent = false;\n removeInitialPointerMoveListeners();\n }\n\n // For some kinds of state, we are interested in changes at the global scope\n // only. For example, global pointer input, global key presses and global\n // visibility change should affect the state at every scope:\n document.addEventListener('keydown', onKeyDown, true);\n document.addEventListener('mousedown', onPointerDown, true);\n document.addEventListener('pointerdown', onPointerDown, true);\n document.addEventListener('touchstart', onPointerDown, true);\n document.addEventListener('visibilitychange', onVisibilityChange, true);\n\n addInitialPointerMoveListeners();\n\n // For focus and blur, we specifically care about state changes in the local\n // scope. This is because focus / blur events that originate from within a\n // shadow root are not re-dispatched from the host element if it was already\n // the active element in its own scope:\n scope.addEventListener('focus', onFocus, true);\n scope.addEventListener('blur', onBlur, true);\n\n // We detect that a node is a ShadowRoot by ensuring that it is a\n // DocumentFragment and also has a host property. This check covers native\n // implementation and polyfill implementation transparently. If we only cared\n // about the native implementation, we could just check if the scope was\n // an instance of a ShadowRoot.\n if (scope.nodeType === Node.DOCUMENT_FRAGMENT_NODE && scope.host) {\n // Since a ShadowRoot is a special kind of DocumentFragment, it does not\n // have a root element to add a class to. So, we add this attribute to the\n // host element instead:\n scope.host.setAttribute('data-js-focus-visible', '');\n } else if (scope.nodeType === Node.DOCUMENT_NODE) {\n document.documentElement.classList.add('js-focus-visible');\n document.documentElement.setAttribute('data-js-focus-visible', '');\n }\n }\n\n // It is important to wrap all references to global window and document in\n // these checks to support server-side rendering use cases\n // @see https://github.com/WICG/focus-visible/issues/199\n if (typeof window !== 'undefined' && typeof document !== 'undefined') {\n // Make the polyfill helper globally available. This can be used as a signal\n // to interested libraries that wish to coordinate with the polyfill for e.g.,\n // applying the polyfill to a shadow root:\n window.applyFocusVisiblePolyfill = applyFocusVisiblePolyfill;\n\n // Notify interested libraries of the polyfill's presence, in case the\n // polyfill was loaded lazily:\n var event;\n\n try {\n event = new CustomEvent('focus-visible-polyfill-ready');\n } catch (error) {\n // IE11 does not support using CustomEvent as a constructor directly:\n event = document.createEvent('CustomEvent');\n event.initCustomEvent('focus-visible-polyfill-ready', false, false, {});\n }\n\n window.dispatchEvent(event);\n }\n\n if (typeof document !== 'undefined') {\n // Apply the polyfill to the global document, so that no JavaScript\n // coordination is required to use the polyfill in the top-level document:\n applyFocusVisiblePolyfill(document);\n }\n\n})));\n", "/*!\n * clipboard.js v2.0.11\n * https://clipboardjs.com/\n *\n * Licensed MIT \u00A9 Zeno Rocha\n */\n(function webpackUniversalModuleDefinition(root, factory) {\n\tif(typeof exports === 'object' && typeof module === 'object')\n\t\tmodule.exports = factory();\n\telse if(typeof define === 'function' && define.amd)\n\t\tdefine([], factory);\n\telse if(typeof exports === 'object')\n\t\texports[\"ClipboardJS\"] = factory();\n\telse\n\t\troot[\"ClipboardJS\"] = factory();\n})(this, function() {\nreturn /******/ (function() { // webpackBootstrap\n/******/ \tvar __webpack_modules__ = ({\n\n/***/ 686:\n/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {\n\n\"use strict\";\n\n// EXPORTS\n__webpack_require__.d(__webpack_exports__, {\n \"default\": function() { return /* binding */ clipboard; }\n});\n\n// EXTERNAL MODULE: ./node_modules/tiny-emitter/index.js\nvar tiny_emitter = __webpack_require__(279);\nvar tiny_emitter_default = /*#__PURE__*/__webpack_require__.n(tiny_emitter);\n// EXTERNAL MODULE: ./node_modules/good-listener/src/listen.js\nvar listen = __webpack_require__(370);\nvar listen_default = /*#__PURE__*/__webpack_require__.n(listen);\n// EXTERNAL MODULE: ./node_modules/select/src/select.js\nvar src_select = __webpack_require__(817);\nvar select_default = /*#__PURE__*/__webpack_require__.n(src_select);\n;// CONCATENATED MODULE: ./src/common/command.js\n/**\n * Executes a given operation type.\n * @param {String} type\n * @return {Boolean}\n */\nfunction command(type) {\n try {\n return document.execCommand(type);\n } catch (err) {\n return false;\n }\n}\n;// CONCATENATED MODULE: ./src/actions/cut.js\n\n\n/**\n * Cut action wrapper.\n * @param {String|HTMLElement} target\n * @return {String}\n */\n\nvar ClipboardActionCut = function ClipboardActionCut(target) {\n var selectedText = select_default()(target);\n command('cut');\n return selectedText;\n};\n\n/* harmony default export */ var actions_cut = (ClipboardActionCut);\n;// CONCATENATED MODULE: ./src/common/create-fake-element.js\n/**\n * Creates a fake textarea element with a value.\n * @param {String} value\n * @return {HTMLElement}\n */\nfunction createFakeElement(value) {\n var isRTL = document.documentElement.getAttribute('dir') === 'rtl';\n var fakeElement = document.createElement('textarea'); // Prevent zooming on iOS\n\n fakeElement.style.fontSize = '12pt'; // Reset box model\n\n fakeElement.style.border = '0';\n fakeElement.style.padding = '0';\n fakeElement.style.margin = '0'; // Move element out of screen horizontally\n\n fakeElement.style.position = 'absolute';\n fakeElement.style[isRTL ? 'right' : 'left'] = '-9999px'; // Move element to the same position vertically\n\n var yPosition = window.pageYOffset || document.documentElement.scrollTop;\n fakeElement.style.top = \"\".concat(yPosition, \"px\");\n fakeElement.setAttribute('readonly', '');\n fakeElement.value = value;\n return fakeElement;\n}\n;// CONCATENATED MODULE: ./src/actions/copy.js\n\n\n\n/**\n * Create fake copy action wrapper using a fake element.\n * @param {String} target\n * @param {Object} options\n * @return {String}\n */\n\nvar fakeCopyAction = function fakeCopyAction(value, options) {\n var fakeElement = createFakeElement(value);\n options.container.appendChild(fakeElement);\n var selectedText = select_default()(fakeElement);\n command('copy');\n fakeElement.remove();\n return selectedText;\n};\n/**\n * Copy action wrapper.\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @return {String}\n */\n\n\nvar ClipboardActionCopy = function ClipboardActionCopy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n var selectedText = '';\n\n if (typeof target === 'string') {\n selectedText = fakeCopyAction(target, options);\n } else if (target instanceof HTMLInputElement && !['text', 'search', 'url', 'tel', 'password'].includes(target === null || target === void 0 ? void 0 : target.type)) {\n // If input type doesn't support `setSelectionRange`. Simulate it. https://developer.mozilla.org/en-US/docs/Web/API/HTMLInputElement/setSelectionRange\n selectedText = fakeCopyAction(target.value, options);\n } else {\n selectedText = select_default()(target);\n command('copy');\n }\n\n return selectedText;\n};\n\n/* harmony default export */ var actions_copy = (ClipboardActionCopy);\n;// CONCATENATED MODULE: ./src/actions/default.js\nfunction _typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { _typeof = function _typeof(obj) { return typeof obj; }; } else { _typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return _typeof(obj); }\n\n\n\n/**\n * Inner function which performs selection from either `text` or `target`\n * properties and then executes copy or cut operations.\n * @param {Object} options\n */\n\nvar ClipboardActionDefault = function ClipboardActionDefault() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n // Defines base properties passed from constructor.\n var _options$action = options.action,\n action = _options$action === void 0 ? 'copy' : _options$action,\n container = options.container,\n target = options.target,\n text = options.text; // Sets the `action` to be performed which can be either 'copy' or 'cut'.\n\n if (action !== 'copy' && action !== 'cut') {\n throw new Error('Invalid \"action\" value, use either \"copy\" or \"cut\"');\n } // Sets the `target` property using an element that will be have its content copied.\n\n\n if (target !== undefined) {\n if (target && _typeof(target) === 'object' && target.nodeType === 1) {\n if (action === 'copy' && target.hasAttribute('disabled')) {\n throw new Error('Invalid \"target\" attribute. Please use \"readonly\" instead of \"disabled\" attribute');\n }\n\n if (action === 'cut' && (target.hasAttribute('readonly') || target.hasAttribute('disabled'))) {\n throw new Error('Invalid \"target\" attribute. You can\\'t cut text from elements with \"readonly\" or \"disabled\" attributes');\n }\n } else {\n throw new Error('Invalid \"target\" value, use a valid Element');\n }\n } // Define selection strategy based on `text` property.\n\n\n if (text) {\n return actions_copy(text, {\n container: container\n });\n } // Defines which selection strategy based on `target` property.\n\n\n if (target) {\n return action === 'cut' ? actions_cut(target) : actions_copy(target, {\n container: container\n });\n }\n};\n\n/* harmony default export */ var actions_default = (ClipboardActionDefault);\n;// CONCATENATED MODULE: ./src/clipboard.js\nfunction clipboard_typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { clipboard_typeof = function _typeof(obj) { return typeof obj; }; } else { clipboard_typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return clipboard_typeof(obj); }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if (\"value\" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }\n\nfunction _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function\"); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, writable: true, configurable: true } }); if (superClass) _setPrototypeOf(subClass, superClass); }\n\nfunction _setPrototypeOf(o, p) { _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) { o.__proto__ = p; return o; }; return _setPrototypeOf(o, p); }\n\nfunction _createSuper(Derived) { var hasNativeReflectConstruct = _isNativeReflectConstruct(); return function _createSuperInternal() { var Super = _getPrototypeOf(Derived), result; if (hasNativeReflectConstruct) { var NewTarget = _getPrototypeOf(this).constructor; result = Reflect.construct(Super, arguments, NewTarget); } else { result = Super.apply(this, arguments); } return _possibleConstructorReturn(this, result); }; }\n\nfunction _possibleConstructorReturn(self, call) { if (call && (clipboard_typeof(call) === \"object\" || typeof call === \"function\")) { return call; } return _assertThisInitialized(self); }\n\nfunction _assertThisInitialized(self) { if (self === void 0) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return self; }\n\nfunction _isNativeReflectConstruct() { if (typeof Reflect === \"undefined\" || !Reflect.construct) return false; if (Reflect.construct.sham) return false; if (typeof Proxy === \"function\") return true; try { Date.prototype.toString.call(Reflect.construct(Date, [], function () {})); return true; } catch (e) { return false; } }\n\nfunction _getPrototypeOf(o) { _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) { return o.__proto__ || Object.getPrototypeOf(o); }; return _getPrototypeOf(o); }\n\n\n\n\n\n\n/**\n * Helper function to retrieve attribute value.\n * @param {String} suffix\n * @param {Element} element\n */\n\nfunction getAttributeValue(suffix, element) {\n var attribute = \"data-clipboard-\".concat(suffix);\n\n if (!element.hasAttribute(attribute)) {\n return;\n }\n\n return element.getAttribute(attribute);\n}\n/**\n * Base class which takes one or more elements, adds event listeners to them,\n * and instantiates a new `ClipboardAction` on each click.\n */\n\n\nvar Clipboard = /*#__PURE__*/function (_Emitter) {\n _inherits(Clipboard, _Emitter);\n\n var _super = _createSuper(Clipboard);\n\n /**\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n * @param {Object} options\n */\n function Clipboard(trigger, options) {\n var _this;\n\n _classCallCheck(this, Clipboard);\n\n _this = _super.call(this);\n\n _this.resolveOptions(options);\n\n _this.listenClick(trigger);\n\n return _this;\n }\n /**\n * Defines if attributes would be resolved using internal setter functions\n * or custom functions that were passed in the constructor.\n * @param {Object} options\n */\n\n\n _createClass(Clipboard, [{\n key: \"resolveOptions\",\n value: function resolveOptions() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n this.action = typeof options.action === 'function' ? options.action : this.defaultAction;\n this.target = typeof options.target === 'function' ? options.target : this.defaultTarget;\n this.text = typeof options.text === 'function' ? options.text : this.defaultText;\n this.container = clipboard_typeof(options.container) === 'object' ? options.container : document.body;\n }\n /**\n * Adds a click event listener to the passed trigger.\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n */\n\n }, {\n key: \"listenClick\",\n value: function listenClick(trigger) {\n var _this2 = this;\n\n this.listener = listen_default()(trigger, 'click', function (e) {\n return _this2.onClick(e);\n });\n }\n /**\n * Defines a new `ClipboardAction` on each click event.\n * @param {Event} e\n */\n\n }, {\n key: \"onClick\",\n value: function onClick(e) {\n var trigger = e.delegateTarget || e.currentTarget;\n var action = this.action(trigger) || 'copy';\n var text = actions_default({\n action: action,\n container: this.container,\n target: this.target(trigger),\n text: this.text(trigger)\n }); // Fires an event based on the copy operation result.\n\n this.emit(text ? 'success' : 'error', {\n action: action,\n text: text,\n trigger: trigger,\n clearSelection: function clearSelection() {\n if (trigger) {\n trigger.focus();\n }\n\n window.getSelection().removeAllRanges();\n }\n });\n }\n /**\n * Default `action` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultAction\",\n value: function defaultAction(trigger) {\n return getAttributeValue('action', trigger);\n }\n /**\n * Default `target` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultTarget\",\n value: function defaultTarget(trigger) {\n var selector = getAttributeValue('target', trigger);\n\n if (selector) {\n return document.querySelector(selector);\n }\n }\n /**\n * Allow fire programmatically a copy action\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @returns Text copied.\n */\n\n }, {\n key: \"defaultText\",\n\n /**\n * Default `text` lookup function.\n * @param {Element} trigger\n */\n value: function defaultText(trigger) {\n return getAttributeValue('text', trigger);\n }\n /**\n * Destroy lifecycle.\n */\n\n }, {\n key: \"destroy\",\n value: function destroy() {\n this.listener.destroy();\n }\n }], [{\n key: \"copy\",\n value: function copy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n return actions_copy(target, options);\n }\n /**\n * Allow fire programmatically a cut action\n * @param {String|HTMLElement} target\n * @returns Text cutted.\n */\n\n }, {\n key: \"cut\",\n value: function cut(target) {\n return actions_cut(target);\n }\n /**\n * Returns the support of the given action, or all actions if no action is\n * given.\n * @param {String} [action]\n */\n\n }, {\n key: \"isSupported\",\n value: function isSupported() {\n var action = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : ['copy', 'cut'];\n var actions = typeof action === 'string' ? [action] : action;\n var support = !!document.queryCommandSupported;\n actions.forEach(function (action) {\n support = support && !!document.queryCommandSupported(action);\n });\n return support;\n }\n }]);\n\n return Clipboard;\n}((tiny_emitter_default()));\n\n/* harmony default export */ var clipboard = (Clipboard);\n\n/***/ }),\n\n/***/ 828:\n/***/ (function(module) {\n\nvar DOCUMENT_NODE_TYPE = 9;\n\n/**\n * A polyfill for Element.matches()\n */\nif (typeof Element !== 'undefined' && !Element.prototype.matches) {\n var proto = Element.prototype;\n\n proto.matches = proto.matchesSelector ||\n proto.mozMatchesSelector ||\n proto.msMatchesSelector ||\n proto.oMatchesSelector ||\n proto.webkitMatchesSelector;\n}\n\n/**\n * Finds the closest parent that matches a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @return {Function}\n */\nfunction closest (element, selector) {\n while (element && element.nodeType !== DOCUMENT_NODE_TYPE) {\n if (typeof element.matches === 'function' &&\n element.matches(selector)) {\n return element;\n }\n element = element.parentNode;\n }\n}\n\nmodule.exports = closest;\n\n\n/***/ }),\n\n/***/ 438:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar closest = __webpack_require__(828);\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction _delegate(element, selector, type, callback, useCapture) {\n var listenerFn = listener.apply(this, arguments);\n\n element.addEventListener(type, listenerFn, useCapture);\n\n return {\n destroy: function() {\n element.removeEventListener(type, listenerFn, useCapture);\n }\n }\n}\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element|String|Array} [elements]\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction delegate(elements, selector, type, callback, useCapture) {\n // Handle the regular Element usage\n if (typeof elements.addEventListener === 'function') {\n return _delegate.apply(null, arguments);\n }\n\n // Handle Element-less usage, it defaults to global delegation\n if (typeof type === 'function') {\n // Use `document` as the first parameter, then apply arguments\n // This is a short way to .unshift `arguments` without running into deoptimizations\n return _delegate.bind(null, document).apply(null, arguments);\n }\n\n // Handle Selector-based usage\n if (typeof elements === 'string') {\n elements = document.querySelectorAll(elements);\n }\n\n // Handle Array-like based usage\n return Array.prototype.map.call(elements, function (element) {\n return _delegate(element, selector, type, callback, useCapture);\n });\n}\n\n/**\n * Finds closest match and invokes callback.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Function}\n */\nfunction listener(element, selector, type, callback) {\n return function(e) {\n e.delegateTarget = closest(e.target, selector);\n\n if (e.delegateTarget) {\n callback.call(element, e);\n }\n }\n}\n\nmodule.exports = delegate;\n\n\n/***/ }),\n\n/***/ 879:\n/***/ (function(__unused_webpack_module, exports) {\n\n/**\n * Check if argument is a HTML element.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.node = function(value) {\n return value !== undefined\n && value instanceof HTMLElement\n && value.nodeType === 1;\n};\n\n/**\n * Check if argument is a list of HTML elements.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.nodeList = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return value !== undefined\n && (type === '[object NodeList]' || type === '[object HTMLCollection]')\n && ('length' in value)\n && (value.length === 0 || exports.node(value[0]));\n};\n\n/**\n * Check if argument is a string.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.string = function(value) {\n return typeof value === 'string'\n || value instanceof String;\n};\n\n/**\n * Check if argument is a function.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.fn = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return type === '[object Function]';\n};\n\n\n/***/ }),\n\n/***/ 370:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar is = __webpack_require__(879);\nvar delegate = __webpack_require__(438);\n\n/**\n * Validates all params and calls the right\n * listener function based on its target type.\n *\n * @param {String|HTMLElement|HTMLCollection|NodeList} target\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listen(target, type, callback) {\n if (!target && !type && !callback) {\n throw new Error('Missing required arguments');\n }\n\n if (!is.string(type)) {\n throw new TypeError('Second argument must be a String');\n }\n\n if (!is.fn(callback)) {\n throw new TypeError('Third argument must be a Function');\n }\n\n if (is.node(target)) {\n return listenNode(target, type, callback);\n }\n else if (is.nodeList(target)) {\n return listenNodeList(target, type, callback);\n }\n else if (is.string(target)) {\n return listenSelector(target, type, callback);\n }\n else {\n throw new TypeError('First argument must be a String, HTMLElement, HTMLCollection, or NodeList');\n }\n}\n\n/**\n * Adds an event listener to a HTML element\n * and returns a remove listener function.\n *\n * @param {HTMLElement} node\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNode(node, type, callback) {\n node.addEventListener(type, callback);\n\n return {\n destroy: function() {\n node.removeEventListener(type, callback);\n }\n }\n}\n\n/**\n * Add an event listener to a list of HTML elements\n * and returns a remove listener function.\n *\n * @param {NodeList|HTMLCollection} nodeList\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNodeList(nodeList, type, callback) {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.addEventListener(type, callback);\n });\n\n return {\n destroy: function() {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.removeEventListener(type, callback);\n });\n }\n }\n}\n\n/**\n * Add an event listener to a selector\n * and returns a remove listener function.\n *\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenSelector(selector, type, callback) {\n return delegate(document.body, selector, type, callback);\n}\n\nmodule.exports = listen;\n\n\n/***/ }),\n\n/***/ 817:\n/***/ (function(module) {\n\nfunction select(element) {\n var selectedText;\n\n if (element.nodeName === 'SELECT') {\n element.focus();\n\n selectedText = element.value;\n }\n else if (element.nodeName === 'INPUT' || element.nodeName === 'TEXTAREA') {\n var isReadOnly = element.hasAttribute('readonly');\n\n if (!isReadOnly) {\n element.setAttribute('readonly', '');\n }\n\n element.select();\n element.setSelectionRange(0, element.value.length);\n\n if (!isReadOnly) {\n element.removeAttribute('readonly');\n }\n\n selectedText = element.value;\n }\n else {\n if (element.hasAttribute('contenteditable')) {\n element.focus();\n }\n\n var selection = window.getSelection();\n var range = document.createRange();\n\n range.selectNodeContents(element);\n selection.removeAllRanges();\n selection.addRange(range);\n\n selectedText = selection.toString();\n }\n\n return selectedText;\n}\n\nmodule.exports = select;\n\n\n/***/ }),\n\n/***/ 279:\n/***/ (function(module) {\n\nfunction E () {\n // Keep this empty so it's easier to inherit from\n // (via https://github.com/lipsmack from https://github.com/scottcorgan/tiny-emitter/issues/3)\n}\n\nE.prototype = {\n on: function (name, callback, ctx) {\n var e = this.e || (this.e = {});\n\n (e[name] || (e[name] = [])).push({\n fn: callback,\n ctx: ctx\n });\n\n return this;\n },\n\n once: function (name, callback, ctx) {\n var self = this;\n function listener () {\n self.off(name, listener);\n callback.apply(ctx, arguments);\n };\n\n listener._ = callback\n return this.on(name, listener, ctx);\n },\n\n emit: function (name) {\n var data = [].slice.call(arguments, 1);\n var evtArr = ((this.e || (this.e = {}))[name] || []).slice();\n var i = 0;\n var len = evtArr.length;\n\n for (i; i < len; i++) {\n evtArr[i].fn.apply(evtArr[i].ctx, data);\n }\n\n return this;\n },\n\n off: function (name, callback) {\n var e = this.e || (this.e = {});\n var evts = e[name];\n var liveEvents = [];\n\n if (evts && callback) {\n for (var i = 0, len = evts.length; i < len; i++) {\n if (evts[i].fn !== callback && evts[i].fn._ !== callback)\n liveEvents.push(evts[i]);\n }\n }\n\n // Remove event from queue to prevent memory leak\n // Suggested by https://github.com/lazd\n // Ref: https://github.com/scottcorgan/tiny-emitter/commit/c6ebfaa9bc973b33d110a84a307742b7cf94c953#commitcomment-5024910\n\n (liveEvents.length)\n ? e[name] = liveEvents\n : delete e[name];\n\n return this;\n }\n};\n\nmodule.exports = E;\nmodule.exports.TinyEmitter = E;\n\n\n/***/ })\n\n/******/ \t});\n/************************************************************************/\n/******/ \t// The module cache\n/******/ \tvar __webpack_module_cache__ = {};\n/******/ \t\n/******/ \t// The require function\n/******/ \tfunction __webpack_require__(moduleId) {\n/******/ \t\t// Check if module is in cache\n/******/ \t\tif(__webpack_module_cache__[moduleId]) {\n/******/ \t\t\treturn __webpack_module_cache__[moduleId].exports;\n/******/ \t\t}\n/******/ \t\t// Create a new module (and put it into the cache)\n/******/ \t\tvar module = __webpack_module_cache__[moduleId] = {\n/******/ \t\t\t// no module.id needed\n/******/ \t\t\t// no module.loaded needed\n/******/ \t\t\texports: {}\n/******/ \t\t};\n/******/ \t\n/******/ \t\t// Execute the module function\n/******/ \t\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n/******/ \t\n/******/ \t\t// Return the exports of the module\n/******/ \t\treturn module.exports;\n/******/ \t}\n/******/ \t\n/************************************************************************/\n/******/ \t/* webpack/runtime/compat get default export */\n/******/ \t!function() {\n/******/ \t\t// getDefaultExport function for compatibility with non-harmony modules\n/******/ \t\t__webpack_require__.n = function(module) {\n/******/ \t\t\tvar getter = module && module.__esModule ?\n/******/ \t\t\t\tfunction() { return module['default']; } :\n/******/ \t\t\t\tfunction() { return module; };\n/******/ \t\t\t__webpack_require__.d(getter, { a: getter });\n/******/ \t\t\treturn getter;\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/define property getters */\n/******/ \t!function() {\n/******/ \t\t// define getter functions for harmony exports\n/******/ \t\t__webpack_require__.d = function(exports, definition) {\n/******/ \t\t\tfor(var key in definition) {\n/******/ \t\t\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n/******/ \t\t\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n/******/ \t\t\t\t}\n/******/ \t\t\t}\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/hasOwnProperty shorthand */\n/******/ \t!function() {\n/******/ \t\t__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }\n/******/ \t}();\n/******/ \t\n/************************************************************************/\n/******/ \t// module exports must be returned from runtime so entry inlining is disabled\n/******/ \t// startup\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(686);\n/******/ })()\n.default;\n});", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport \"focus-visible\"\n\nimport {\n EMPTY,\n NEVER,\n Observable,\n Subject,\n defer,\n delay,\n filter,\n map,\n merge,\n mergeWith,\n shareReplay,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"./_\"\nimport {\n at,\n getActiveElement,\n getOptionalElement,\n requestJSON,\n setLocation,\n setToggle,\n watchDocument,\n watchKeyboard,\n watchLocation,\n watchLocationTarget,\n watchMedia,\n watchPrint,\n watchScript,\n watchViewport\n} from \"./browser\"\nimport {\n getComponentElement,\n getComponentElements,\n mountAnnounce,\n mountBackToTop,\n mountConsent,\n mountContent,\n mountDialog,\n mountHeader,\n mountHeaderTitle,\n mountPalette,\n mountProgress,\n mountSearch,\n mountSearchHiglight,\n mountSidebar,\n mountSource,\n mountTableOfContents,\n mountTabs,\n watchHeader,\n watchMain\n} from \"./components\"\nimport {\n SearchIndex,\n setupClipboardJS,\n setupInstantNavigation,\n setupVersionSelector\n} from \"./integrations\"\nimport {\n patchEllipsis,\n patchIndeterminate,\n patchScrollfix,\n patchScrolllock\n} from \"./patches\"\nimport \"./polyfills\"\n\n/* ----------------------------------------------------------------------------\n * Functions - @todo refactor\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch search index\n *\n * @returns Search index observable\n */\nfunction fetchSearchIndex(): Observable {\n if (location.protocol === \"file:\") {\n return watchScript(\n `${new URL(\"search/search_index.js\", config.base)}`\n )\n .pipe(\n // @ts-ignore - @todo fix typings\n map(() => __index),\n shareReplay(1)\n )\n } else {\n return requestJSON(\n new URL(\"search/search_index.json\", config.base)\n )\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Application\n * ------------------------------------------------------------------------- */\n\n/* Yay, JavaScript is available */\ndocument.documentElement.classList.remove(\"no-js\")\ndocument.documentElement.classList.add(\"js\")\n\n/* Set up navigation observables and subjects */\nconst document$ = watchDocument()\nconst location$ = watchLocation()\nconst target$ = watchLocationTarget(location$)\nconst keyboard$ = watchKeyboard()\n\n/* Set up media observables */\nconst viewport$ = watchViewport()\nconst tablet$ = watchMedia(\"(min-width: 960px)\")\nconst screen$ = watchMedia(\"(min-width: 1220px)\")\nconst print$ = watchPrint()\n\n/* Retrieve search index, if search is enabled */\nconst config = configuration()\nconst index$ = document.forms.namedItem(\"search\")\n ? fetchSearchIndex()\n : NEVER\n\n/* Set up Clipboard.js integration */\nconst alert$ = new Subject()\nsetupClipboardJS({ alert$ })\n\n/* Set up progress indicator */\nconst progress$ = new Subject()\n\n/* Set up instant navigation, if enabled */\nif (feature(\"navigation.instant\"))\n setupInstantNavigation({ location$, viewport$, progress$ })\n .subscribe(document$)\n\n/* Set up version selector */\nif (config.version?.provider === \"mike\")\n setupVersionSelector({ document$ })\n\n/* Always close drawer and search on navigation */\nmerge(location$, target$)\n .pipe(\n delay(125)\n )\n .subscribe(() => {\n setToggle(\"drawer\", false)\n setToggle(\"search\", false)\n })\n\n/* Set up global keyboard handlers */\nkeyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Go to previous page */\n case \"p\":\n case \",\":\n const prev = getOptionalElement(\"link[rel=prev]\")\n if (typeof prev !== \"undefined\")\n setLocation(prev)\n break\n\n /* Go to next page */\n case \"n\":\n case \".\":\n const next = getOptionalElement(\"link[rel=next]\")\n if (typeof next !== \"undefined\")\n setLocation(next)\n break\n\n /* Expand navigation, see https://bit.ly/3ZjG5io */\n case \"Enter\":\n const active = getActiveElement()\n if (active instanceof HTMLLabelElement)\n active.click()\n }\n })\n\n/* Set up patches */\npatchEllipsis({ viewport$, document$ })\npatchIndeterminate({ document$, tablet$ })\npatchScrollfix({ document$ })\npatchScrolllock({ viewport$, tablet$ })\n\n/* Set up header and main area observable */\nconst header$ = watchHeader(getComponentElement(\"header\"), { viewport$ })\nconst main$ = document$\n .pipe(\n map(() => getComponentElement(\"main\")),\n switchMap(el => watchMain(el, { viewport$, header$ })),\n shareReplay(1)\n )\n\n/* Set up control component observables */\nconst control$ = merge(\n\n /* Consent */\n ...getComponentElements(\"consent\")\n .map(el => mountConsent(el, { target$ })),\n\n /* Dialog */\n ...getComponentElements(\"dialog\")\n .map(el => mountDialog(el, { alert$ })),\n\n /* Header */\n ...getComponentElements(\"header\")\n .map(el => mountHeader(el, { viewport$, header$, main$ })),\n\n /* Color palette */\n ...getComponentElements(\"palette\")\n .map(el => mountPalette(el)),\n\n /* Progress bar */\n ...getComponentElements(\"progress\")\n .map(el => mountProgress(el, { progress$ })),\n\n /* Search */\n ...getComponentElements(\"search\")\n .map(el => mountSearch(el, { index$, keyboard$ })),\n\n /* Repository information */\n ...getComponentElements(\"source\")\n .map(el => mountSource(el))\n)\n\n/* Set up content component observables */\nconst content$ = defer(() => merge(\n\n /* Announcement bar */\n ...getComponentElements(\"announce\")\n .map(el => mountAnnounce(el)),\n\n /* Content */\n ...getComponentElements(\"content\")\n .map(el => mountContent(el, { viewport$, target$, print$ })),\n\n /* Search highlighting */\n ...getComponentElements(\"content\")\n .map(el => feature(\"search.highlight\")\n ? mountSearchHiglight(el, { index$, location$ })\n : EMPTY\n ),\n\n /* Header title */\n ...getComponentElements(\"header-title\")\n .map(el => mountHeaderTitle(el, { viewport$, header$ })),\n\n /* Sidebar */\n ...getComponentElements(\"sidebar\")\n .map(el => el.getAttribute(\"data-md-type\") === \"navigation\"\n ? at(screen$, () => mountSidebar(el, { viewport$, header$, main$ }))\n : at(tablet$, () => mountSidebar(el, { viewport$, header$, main$ }))\n ),\n\n /* Navigation tabs */\n ...getComponentElements(\"tabs\")\n .map(el => mountTabs(el, { viewport$, header$ })),\n\n /* Table of contents */\n ...getComponentElements(\"toc\")\n .map(el => mountTableOfContents(el, {\n viewport$, header$, main$, target$\n })),\n\n /* Back-to-top button */\n ...getComponentElements(\"top\")\n .map(el => mountBackToTop(el, { viewport$, header$, main$, target$ }))\n))\n\n/* Set up component observables */\nconst component$ = document$\n .pipe(\n switchMap(() => content$),\n mergeWith(control$),\n shareReplay(1)\n )\n\n/* Subscribe to all components */\ncomponent$.subscribe()\n\n/* ----------------------------------------------------------------------------\n * Exports\n * ------------------------------------------------------------------------- */\n\nwindow.document$ = document$ /* Document observable */\nwindow.location$ = location$ /* Location subject */\nwindow.target$ = target$ /* Location target observable */\nwindow.keyboard$ = keyboard$ /* Keyboard observable */\nwindow.viewport$ = viewport$ /* Viewport observable */\nwindow.tablet$ = tablet$ /* Media tablet observable */\nwindow.screen$ = screen$ /* Media screen observable */\nwindow.print$ = print$ /* Media print observable */\nwindow.alert$ = alert$ /* Alert subject */\nwindow.progress$ = progress$ /* Progress indicator subject */\nwindow.component$ = component$ /* Component observable */\n", "/*! *****************************************************************************\r\nCopyright (c) Microsoft Corporation.\r\n\r\nPermission to use, copy, modify, and/or distribute this software for any\r\npurpose with or without fee is hereby granted.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\r\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\r\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\r\n/* global Reflect, Promise */\r\n\r\nvar extendStatics = function(d, b) {\r\n extendStatics = Object.setPrototypeOf ||\r\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\r\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\r\n return extendStatics(d, b);\r\n};\r\n\r\nexport function __extends(d, b) {\r\n if (typeof b !== \"function\" && b !== null)\r\n throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\r\n extendStatics(d, b);\r\n function __() { this.constructor = d; }\r\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\r\n}\r\n\r\nexport var __assign = function() {\r\n __assign = Object.assign || function __assign(t) {\r\n for (var s, i = 1, n = arguments.length; i < n; i++) {\r\n s = arguments[i];\r\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\r\n }\r\n return t;\r\n }\r\n return __assign.apply(this, arguments);\r\n}\r\n\r\nexport function __rest(s, e) {\r\n var t = {};\r\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)\r\n t[p] = s[p];\r\n if (s != null && typeof Object.getOwnPropertySymbols === \"function\")\r\n for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {\r\n if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))\r\n t[p[i]] = s[p[i]];\r\n }\r\n return t;\r\n}\r\n\r\nexport function __decorate(decorators, target, key, desc) {\r\n var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;\r\n if (typeof Reflect === \"object\" && typeof Reflect.decorate === \"function\") r = Reflect.decorate(decorators, target, key, desc);\r\n else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;\r\n return c > 3 && r && Object.defineProperty(target, key, r), r;\r\n}\r\n\r\nexport function __param(paramIndex, decorator) {\r\n return function (target, key) { decorator(target, key, paramIndex); }\r\n}\r\n\r\nexport function __metadata(metadataKey, metadataValue) {\r\n if (typeof Reflect === \"object\" && typeof Reflect.metadata === \"function\") return Reflect.metadata(metadataKey, metadataValue);\r\n}\r\n\r\nexport function __awaiter(thisArg, _arguments, P, generator) {\r\n function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }\r\n return new (P || (P = Promise))(function (resolve, reject) {\r\n function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\r\n function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\r\n function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }\r\n step((generator = generator.apply(thisArg, _arguments || [])).next());\r\n });\r\n}\r\n\r\nexport function __generator(thisArg, body) {\r\n var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\r\n return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\r\n function verb(n) { return function (v) { return step([n, v]); }; }\r\n function step(op) {\r\n if (f) throw new TypeError(\"Generator is already executing.\");\r\n while (_) try {\r\n if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\r\n if (y = 0, t) op = [op[0] & 2, t.value];\r\n switch (op[0]) {\r\n case 0: case 1: t = op; break;\r\n case 4: _.label++; return { value: op[1], done: false };\r\n case 5: _.label++; y = op[1]; op = [0]; continue;\r\n case 7: op = _.ops.pop(); _.trys.pop(); continue;\r\n default:\r\n if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\r\n if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\r\n if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\r\n if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\r\n if (t[2]) _.ops.pop();\r\n _.trys.pop(); continue;\r\n }\r\n op = body.call(thisArg, _);\r\n } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\r\n if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\r\n }\r\n}\r\n\r\nexport var __createBinding = Object.create ? (function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } });\r\n}) : (function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n o[k2] = m[k];\r\n});\r\n\r\nexport function __exportStar(m, o) {\r\n for (var p in m) if (p !== \"default\" && !Object.prototype.hasOwnProperty.call(o, p)) __createBinding(o, m, p);\r\n}\r\n\r\nexport function __values(o) {\r\n var s = typeof Symbol === \"function\" && Symbol.iterator, m = s && o[s], i = 0;\r\n if (m) return m.call(o);\r\n if (o && typeof o.length === \"number\") return {\r\n next: function () {\r\n if (o && i >= o.length) o = void 0;\r\n return { value: o && o[i++], done: !o };\r\n }\r\n };\r\n throw new TypeError(s ? \"Object is not iterable.\" : \"Symbol.iterator is not defined.\");\r\n}\r\n\r\nexport function __read(o, n) {\r\n var m = typeof Symbol === \"function\" && o[Symbol.iterator];\r\n if (!m) return o;\r\n var i = m.call(o), r, ar = [], e;\r\n try {\r\n while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);\r\n }\r\n catch (error) { e = { error: error }; }\r\n finally {\r\n try {\r\n if (r && !r.done && (m = i[\"return\"])) m.call(i);\r\n }\r\n finally { if (e) throw e.error; }\r\n }\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spread() {\r\n for (var ar = [], i = 0; i < arguments.length; i++)\r\n ar = ar.concat(__read(arguments[i]));\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spreadArrays() {\r\n for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;\r\n for (var r = Array(s), k = 0, i = 0; i < il; i++)\r\n for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++)\r\n r[k] = a[j];\r\n return r;\r\n}\r\n\r\nexport function __spreadArray(to, from, pack) {\r\n if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {\r\n if (ar || !(i in from)) {\r\n if (!ar) ar = Array.prototype.slice.call(from, 0, i);\r\n ar[i] = from[i];\r\n }\r\n }\r\n return to.concat(ar || Array.prototype.slice.call(from));\r\n}\r\n\r\nexport function __await(v) {\r\n return this instanceof __await ? (this.v = v, this) : new __await(v);\r\n}\r\n\r\nexport function __asyncGenerator(thisArg, _arguments, generator) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var g = generator.apply(thisArg, _arguments || []), i, q = [];\r\n return i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i;\r\n function verb(n) { if (g[n]) i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; }\r\n function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\r\n function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\r\n function fulfill(value) { resume(\"next\", value); }\r\n function reject(value) { resume(\"throw\", value); }\r\n function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\r\n}\r\n\r\nexport function __asyncDelegator(o) {\r\n var i, p;\r\n return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\r\n function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: n === \"return\" } : f ? f(v) : v; } : f; }\r\n}\r\n\r\nexport function __asyncValues(o) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var m = o[Symbol.asyncIterator], i;\r\n return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\r\n function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\r\n function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\r\n}\r\n\r\nexport function __makeTemplateObject(cooked, raw) {\r\n if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\r\n return cooked;\r\n};\r\n\r\nvar __setModuleDefault = Object.create ? (function(o, v) {\r\n Object.defineProperty(o, \"default\", { enumerable: true, value: v });\r\n}) : function(o, v) {\r\n o[\"default\"] = v;\r\n};\r\n\r\nexport function __importStar(mod) {\r\n if (mod && mod.__esModule) return mod;\r\n var result = {};\r\n if (mod != null) for (var k in mod) if (k !== \"default\" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);\r\n __setModuleDefault(result, mod);\r\n return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n\r\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n", "/**\n * Returns true if the object is a function.\n * @param value The value to check\n */\nexport function isFunction(value: any): value is (...args: any[]) => any {\n return typeof value === 'function';\n}\n", "/**\n * Used to create Error subclasses until the community moves away from ES5.\n *\n * This is because compiling from TypeScript down to ES5 has issues with subclassing Errors\n * as well as other built-in types: https://github.com/Microsoft/TypeScript/issues/12123\n *\n * @param createImpl A factory function to create the actual constructor implementation. The returned\n * function should be a named function that calls `_super` internally.\n */\nexport function createErrorClass(createImpl: (_super: any) => any): T {\n const _super = (instance: any) => {\n Error.call(instance);\n instance.stack = new Error().stack;\n };\n\n const ctorFunc = createImpl(_super);\n ctorFunc.prototype = Object.create(Error.prototype);\n ctorFunc.prototype.constructor = ctorFunc;\n return ctorFunc;\n}\n", "import { createErrorClass } from './createErrorClass';\n\nexport interface UnsubscriptionError extends Error {\n readonly errors: any[];\n}\n\nexport interface UnsubscriptionErrorCtor {\n /**\n * @deprecated Internal implementation detail. Do not construct error instances.\n * Cannot be tagged as internal: https://github.com/ReactiveX/rxjs/issues/6269\n */\n new (errors: any[]): UnsubscriptionError;\n}\n\n/**\n * An error thrown when one or more errors have occurred during the\n * `unsubscribe` of a {@link Subscription}.\n */\nexport const UnsubscriptionError: UnsubscriptionErrorCtor = createErrorClass(\n (_super) =>\n function UnsubscriptionErrorImpl(this: any, errors: (Error | string)[]) {\n _super(this);\n this.message = errors\n ? `${errors.length} errors occurred during unsubscription:\n${errors.map((err, i) => `${i + 1}) ${err.toString()}`).join('\\n ')}`\n : '';\n this.name = 'UnsubscriptionError';\n this.errors = errors;\n }\n);\n", "/**\n * Removes an item from an array, mutating it.\n * @param arr The array to remove the item from\n * @param item The item to remove\n */\nexport function arrRemove(arr: T[] | undefined | null, item: T) {\n if (arr) {\n const index = arr.indexOf(item);\n 0 <= index && arr.splice(index, 1);\n }\n}\n", "import { isFunction } from './util/isFunction';\nimport { UnsubscriptionError } from './util/UnsubscriptionError';\nimport { SubscriptionLike, TeardownLogic, Unsubscribable } from './types';\nimport { arrRemove } from './util/arrRemove';\n\n/**\n * Represents a disposable resource, such as the execution of an Observable. A\n * Subscription has one important method, `unsubscribe`, that takes no argument\n * and just disposes the resource held by the subscription.\n *\n * Additionally, subscriptions may be grouped together through the `add()`\n * method, which will attach a child Subscription to the current Subscription.\n * When a Subscription is unsubscribed, all its children (and its grandchildren)\n * will be unsubscribed as well.\n *\n * @class Subscription\n */\nexport class Subscription implements SubscriptionLike {\n /** @nocollapse */\n public static EMPTY = (() => {\n const empty = new Subscription();\n empty.closed = true;\n return empty;\n })();\n\n /**\n * A flag to indicate whether this Subscription has already been unsubscribed.\n */\n public closed = false;\n\n private _parentage: Subscription[] | Subscription | null = null;\n\n /**\n * The list of registered finalizers to execute upon unsubscription. Adding and removing from this\n * list occurs in the {@link #add} and {@link #remove} methods.\n */\n private _finalizers: Exclude[] | null = null;\n\n /**\n * @param initialTeardown A function executed first as part of the finalization\n * process that is kicked off when {@link #unsubscribe} is called.\n */\n constructor(private initialTeardown?: () => void) {}\n\n /**\n * Disposes the resources held by the subscription. May, for instance, cancel\n * an ongoing Observable execution or cancel any other type of work that\n * started when the Subscription was created.\n * @return {void}\n */\n unsubscribe(): void {\n let errors: any[] | undefined;\n\n if (!this.closed) {\n this.closed = true;\n\n // Remove this from it's parents.\n const { _parentage } = this;\n if (_parentage) {\n this._parentage = null;\n if (Array.isArray(_parentage)) {\n for (const parent of _parentage) {\n parent.remove(this);\n }\n } else {\n _parentage.remove(this);\n }\n }\n\n const { initialTeardown: initialFinalizer } = this;\n if (isFunction(initialFinalizer)) {\n try {\n initialFinalizer();\n } catch (e) {\n errors = e instanceof UnsubscriptionError ? e.errors : [e];\n }\n }\n\n const { _finalizers } = this;\n if (_finalizers) {\n this._finalizers = null;\n for (const finalizer of _finalizers) {\n try {\n execFinalizer(finalizer);\n } catch (err) {\n errors = errors ?? [];\n if (err instanceof UnsubscriptionError) {\n errors = [...errors, ...err.errors];\n } else {\n errors.push(err);\n }\n }\n }\n }\n\n if (errors) {\n throw new UnsubscriptionError(errors);\n }\n }\n }\n\n /**\n * Adds a finalizer to this subscription, so that finalization will be unsubscribed/called\n * when this subscription is unsubscribed. If this subscription is already {@link #closed},\n * because it has already been unsubscribed, then whatever finalizer is passed to it\n * will automatically be executed (unless the finalizer itself is also a closed subscription).\n *\n * Closed Subscriptions cannot be added as finalizers to any subscription. Adding a closed\n * subscription to a any subscription will result in no operation. (A noop).\n *\n * Adding a subscription to itself, or adding `null` or `undefined` will not perform any\n * operation at all. (A noop).\n *\n * `Subscription` instances that are added to this instance will automatically remove themselves\n * if they are unsubscribed. Functions and {@link Unsubscribable} objects that you wish to remove\n * will need to be removed manually with {@link #remove}\n *\n * @param teardown The finalization logic to add to this subscription.\n */\n add(teardown: TeardownLogic): void {\n // Only add the finalizer if it's not undefined\n // and don't add a subscription to itself.\n if (teardown && teardown !== this) {\n if (this.closed) {\n // If this subscription is already closed,\n // execute whatever finalizer is handed to it automatically.\n execFinalizer(teardown);\n } else {\n if (teardown instanceof Subscription) {\n // We don't add closed subscriptions, and we don't add the same subscription\n // twice. Subscription unsubscribe is idempotent.\n if (teardown.closed || teardown._hasParent(this)) {\n return;\n }\n teardown._addParent(this);\n }\n (this._finalizers = this._finalizers ?? []).push(teardown);\n }\n }\n }\n\n /**\n * Checks to see if a this subscription already has a particular parent.\n * This will signal that this subscription has already been added to the parent in question.\n * @param parent the parent to check for\n */\n private _hasParent(parent: Subscription) {\n const { _parentage } = this;\n return _parentage === parent || (Array.isArray(_parentage) && _parentage.includes(parent));\n }\n\n /**\n * Adds a parent to this subscription so it can be removed from the parent if it\n * unsubscribes on it's own.\n *\n * NOTE: THIS ASSUMES THAT {@link _hasParent} HAS ALREADY BEEN CHECKED.\n * @param parent The parent subscription to add\n */\n private _addParent(parent: Subscription) {\n const { _parentage } = this;\n this._parentage = Array.isArray(_parentage) ? (_parentage.push(parent), _parentage) : _parentage ? [_parentage, parent] : parent;\n }\n\n /**\n * Called on a child when it is removed via {@link #remove}.\n * @param parent The parent to remove\n */\n private _removeParent(parent: Subscription) {\n const { _parentage } = this;\n if (_parentage === parent) {\n this._parentage = null;\n } else if (Array.isArray(_parentage)) {\n arrRemove(_parentage, parent);\n }\n }\n\n /**\n * Removes a finalizer from this subscription that was previously added with the {@link #add} method.\n *\n * Note that `Subscription` instances, when unsubscribed, will automatically remove themselves\n * from every other `Subscription` they have been added to. This means that using the `remove` method\n * is not a common thing and should be used thoughtfully.\n *\n * If you add the same finalizer instance of a function or an unsubscribable object to a `Subscription` instance\n * more than once, you will need to call `remove` the same number of times to remove all instances.\n *\n * All finalizer instances are removed to free up memory upon unsubscription.\n *\n * @param teardown The finalizer to remove from this subscription\n */\n remove(teardown: Exclude): void {\n const { _finalizers } = this;\n _finalizers && arrRemove(_finalizers, teardown);\n\n if (teardown instanceof Subscription) {\n teardown._removeParent(this);\n }\n }\n}\n\nexport const EMPTY_SUBSCRIPTION = Subscription.EMPTY;\n\nexport function isSubscription(value: any): value is Subscription {\n return (\n value instanceof Subscription ||\n (value && 'closed' in value && isFunction(value.remove) && isFunction(value.add) && isFunction(value.unsubscribe))\n );\n}\n\nfunction execFinalizer(finalizer: Unsubscribable | (() => void)) {\n if (isFunction(finalizer)) {\n finalizer();\n } else {\n finalizer.unsubscribe();\n }\n}\n", "import { Subscriber } from './Subscriber';\nimport { ObservableNotification } from './types';\n\n/**\n * The {@link GlobalConfig} object for RxJS. It is used to configure things\n * like how to react on unhandled errors.\n */\nexport const config: GlobalConfig = {\n onUnhandledError: null,\n onStoppedNotification: null,\n Promise: undefined,\n useDeprecatedSynchronousErrorHandling: false,\n useDeprecatedNextContext: false,\n};\n\n/**\n * The global configuration object for RxJS, used to configure things\n * like how to react on unhandled errors. Accessible via {@link config}\n * object.\n */\nexport interface GlobalConfig {\n /**\n * A registration point for unhandled errors from RxJS. These are errors that\n * cannot were not handled by consuming code in the usual subscription path. For\n * example, if you have this configured, and you subscribe to an observable without\n * providing an error handler, errors from that subscription will end up here. This\n * will _always_ be called asynchronously on another job in the runtime. This is because\n * we do not want errors thrown in this user-configured handler to interfere with the\n * behavior of the library.\n */\n onUnhandledError: ((err: any) => void) | null;\n\n /**\n * A registration point for notifications that cannot be sent to subscribers because they\n * have completed, errored or have been explicitly unsubscribed. By default, next, complete\n * and error notifications sent to stopped subscribers are noops. However, sometimes callers\n * might want a different behavior. For example, with sources that attempt to report errors\n * to stopped subscribers, a caller can configure RxJS to throw an unhandled error instead.\n * This will _always_ be called asynchronously on another job in the runtime. This is because\n * we do not want errors thrown in this user-configured handler to interfere with the\n * behavior of the library.\n */\n onStoppedNotification: ((notification: ObservableNotification, subscriber: Subscriber) => void) | null;\n\n /**\n * The promise constructor used by default for {@link Observable#toPromise toPromise} and {@link Observable#forEach forEach}\n * methods.\n *\n * @deprecated As of version 8, RxJS will no longer support this sort of injection of a\n * Promise constructor. If you need a Promise implementation other than native promises,\n * please polyfill/patch Promise as you see appropriate. Will be removed in v8.\n */\n Promise?: PromiseConstructorLike;\n\n /**\n * If true, turns on synchronous error rethrowing, which is a deprecated behavior\n * in v6 and higher. This behavior enables bad patterns like wrapping a subscribe\n * call in a try/catch block. It also enables producer interference, a nasty bug\n * where a multicast can be broken for all observers by a downstream consumer with\n * an unhandled error. DO NOT USE THIS FLAG UNLESS IT'S NEEDED TO BUY TIME\n * FOR MIGRATION REASONS.\n *\n * @deprecated As of version 8, RxJS will no longer support synchronous throwing\n * of unhandled errors. All errors will be thrown on a separate call stack to prevent bad\n * behaviors described above. Will be removed in v8.\n */\n useDeprecatedSynchronousErrorHandling: boolean;\n\n /**\n * If true, enables an as-of-yet undocumented feature from v5: The ability to access\n * `unsubscribe()` via `this` context in `next` functions created in observers passed\n * to `subscribe`.\n *\n * This is being removed because the performance was severely problematic, and it could also cause\n * issues when types other than POJOs are passed to subscribe as subscribers, as they will likely have\n * their `this` context overwritten.\n *\n * @deprecated As of version 8, RxJS will no longer support altering the\n * context of next functions provided as part of an observer to Subscribe. Instead,\n * you will have access to a subscription or a signal or token that will allow you to do things like\n * unsubscribe and test closed status. Will be removed in v8.\n */\n useDeprecatedNextContext: boolean;\n}\n", "import type { TimerHandle } from './timerHandle';\ntype SetTimeoutFunction = (handler: () => void, timeout?: number, ...args: any[]) => TimerHandle;\ntype ClearTimeoutFunction = (handle: TimerHandle) => void;\n\ninterface TimeoutProvider {\n setTimeout: SetTimeoutFunction;\n clearTimeout: ClearTimeoutFunction;\n delegate:\n | {\n setTimeout: SetTimeoutFunction;\n clearTimeout: ClearTimeoutFunction;\n }\n | undefined;\n}\n\nexport const timeoutProvider: TimeoutProvider = {\n // When accessing the delegate, use the variable rather than `this` so that\n // the functions can be called without being bound to the provider.\n setTimeout(handler: () => void, timeout?: number, ...args) {\n const { delegate } = timeoutProvider;\n if (delegate?.setTimeout) {\n return delegate.setTimeout(handler, timeout, ...args);\n }\n return setTimeout(handler, timeout, ...args);\n },\n clearTimeout(handle) {\n const { delegate } = timeoutProvider;\n return (delegate?.clearTimeout || clearTimeout)(handle as any);\n },\n delegate: undefined,\n};\n", "import { config } from '../config';\nimport { timeoutProvider } from '../scheduler/timeoutProvider';\n\n/**\n * Handles an error on another job either with the user-configured {@link onUnhandledError},\n * or by throwing it on that new job so it can be picked up by `window.onerror`, `process.on('error')`, etc.\n *\n * This should be called whenever there is an error that is out-of-band with the subscription\n * or when an error hits a terminal boundary of the subscription and no error handler was provided.\n *\n * @param err the error to report\n */\nexport function reportUnhandledError(err: any) {\n timeoutProvider.setTimeout(() => {\n const { onUnhandledError } = config;\n if (onUnhandledError) {\n // Execute the user-configured error handler.\n onUnhandledError(err);\n } else {\n // Throw so it is picked up by the runtime's uncaught error mechanism.\n throw err;\n }\n });\n}\n", "/* tslint:disable:no-empty */\nexport function noop() { }\n", "import { CompleteNotification, NextNotification, ErrorNotification } from './types';\n\n/**\n * A completion object optimized for memory use and created to be the\n * same \"shape\" as other notifications in v8.\n * @internal\n */\nexport const COMPLETE_NOTIFICATION = (() => createNotification('C', undefined, undefined) as CompleteNotification)();\n\n/**\n * Internal use only. Creates an optimized error notification that is the same \"shape\"\n * as other notifications.\n * @internal\n */\nexport function errorNotification(error: any): ErrorNotification {\n return createNotification('E', undefined, error) as any;\n}\n\n/**\n * Internal use only. Creates an optimized next notification that is the same \"shape\"\n * as other notifications.\n * @internal\n */\nexport function nextNotification(value: T) {\n return createNotification('N', value, undefined) as NextNotification;\n}\n\n/**\n * Ensures that all notifications created internally have the same \"shape\" in v8.\n *\n * TODO: This is only exported to support a crazy legacy test in `groupBy`.\n * @internal\n */\nexport function createNotification(kind: 'N' | 'E' | 'C', value: any, error: any) {\n return {\n kind,\n value,\n error,\n };\n}\n", "import { config } from '../config';\n\nlet context: { errorThrown: boolean; error: any } | null = null;\n\n/**\n * Handles dealing with errors for super-gross mode. Creates a context, in which\n * any synchronously thrown errors will be passed to {@link captureError}. Which\n * will record the error such that it will be rethrown after the call back is complete.\n * TODO: Remove in v8\n * @param cb An immediately executed function.\n */\nexport function errorContext(cb: () => void) {\n if (config.useDeprecatedSynchronousErrorHandling) {\n const isRoot = !context;\n if (isRoot) {\n context = { errorThrown: false, error: null };\n }\n cb();\n if (isRoot) {\n const { errorThrown, error } = context!;\n context = null;\n if (errorThrown) {\n throw error;\n }\n }\n } else {\n // This is the general non-deprecated path for everyone that\n // isn't crazy enough to use super-gross mode (useDeprecatedSynchronousErrorHandling)\n cb();\n }\n}\n\n/**\n * Captures errors only in super-gross mode.\n * @param err the error to capture\n */\nexport function captureError(err: any) {\n if (config.useDeprecatedSynchronousErrorHandling && context) {\n context.errorThrown = true;\n context.error = err;\n }\n}\n", "import { isFunction } from './util/isFunction';\nimport { Observer, ObservableNotification } from './types';\nimport { isSubscription, Subscription } from './Subscription';\nimport { config } from './config';\nimport { reportUnhandledError } from './util/reportUnhandledError';\nimport { noop } from './util/noop';\nimport { nextNotification, errorNotification, COMPLETE_NOTIFICATION } from './NotificationFactories';\nimport { timeoutProvider } from './scheduler/timeoutProvider';\nimport { captureError } from './util/errorContext';\n\n/**\n * Implements the {@link Observer} interface and extends the\n * {@link Subscription} class. While the {@link Observer} is the public API for\n * consuming the values of an {@link Observable}, all Observers get converted to\n * a Subscriber, in order to provide Subscription-like capabilities such as\n * `unsubscribe`. Subscriber is a common type in RxJS, and crucial for\n * implementing operators, but it is rarely used as a public API.\n *\n * @class Subscriber\n */\nexport class Subscriber extends Subscription implements Observer {\n /**\n * A static factory for a Subscriber, given a (potentially partial) definition\n * of an Observer.\n * @param next The `next` callback of an Observer.\n * @param error The `error` callback of an\n * Observer.\n * @param complete The `complete` callback of an\n * Observer.\n * @return A Subscriber wrapping the (partially defined)\n * Observer represented by the given arguments.\n * @nocollapse\n * @deprecated Do not use. Will be removed in v8. There is no replacement for this\n * method, and there is no reason to be creating instances of `Subscriber` directly.\n * If you have a specific use case, please file an issue.\n */\n static create(next?: (x?: T) => void, error?: (e?: any) => void, complete?: () => void): Subscriber {\n return new SafeSubscriber(next, error, complete);\n }\n\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n protected isStopped: boolean = false;\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n protected destination: Subscriber | Observer; // this `any` is the escape hatch to erase extra type param (e.g. R)\n\n /**\n * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n * There is no reason to directly create an instance of Subscriber. This type is exported for typings reasons.\n */\n constructor(destination?: Subscriber | Observer) {\n super();\n if (destination) {\n this.destination = destination;\n // Automatically chain subscriptions together here.\n // if destination is a Subscription, then it is a Subscriber.\n if (isSubscription(destination)) {\n destination.add(this);\n }\n } else {\n this.destination = EMPTY_OBSERVER;\n }\n }\n\n /**\n * The {@link Observer} callback to receive notifications of type `next` from\n * the Observable, with a value. The Observable may call this method 0 or more\n * times.\n * @param {T} [value] The `next` value.\n * @return {void}\n */\n next(value?: T): void {\n if (this.isStopped) {\n handleStoppedNotification(nextNotification(value), this);\n } else {\n this._next(value!);\n }\n }\n\n /**\n * The {@link Observer} callback to receive notifications of type `error` from\n * the Observable, with an attached `Error`. Notifies the Observer that\n * the Observable has experienced an error condition.\n * @param {any} [err] The `error` exception.\n * @return {void}\n */\n error(err?: any): void {\n if (this.isStopped) {\n handleStoppedNotification(errorNotification(err), this);\n } else {\n this.isStopped = true;\n this._error(err);\n }\n }\n\n /**\n * The {@link Observer} callback to receive a valueless notification of type\n * `complete` from the Observable. Notifies the Observer that the Observable\n * has finished sending push-based notifications.\n * @return {void}\n */\n complete(): void {\n if (this.isStopped) {\n handleStoppedNotification(COMPLETE_NOTIFICATION, this);\n } else {\n this.isStopped = true;\n this._complete();\n }\n }\n\n unsubscribe(): void {\n if (!this.closed) {\n this.isStopped = true;\n super.unsubscribe();\n this.destination = null!;\n }\n }\n\n protected _next(value: T): void {\n this.destination.next(value);\n }\n\n protected _error(err: any): void {\n try {\n this.destination.error(err);\n } finally {\n this.unsubscribe();\n }\n }\n\n protected _complete(): void {\n try {\n this.destination.complete();\n } finally {\n this.unsubscribe();\n }\n }\n}\n\n/**\n * This bind is captured here because we want to be able to have\n * compatibility with monoid libraries that tend to use a method named\n * `bind`. In particular, a library called Monio requires this.\n */\nconst _bind = Function.prototype.bind;\n\nfunction bind any>(fn: Fn, thisArg: any): Fn {\n return _bind.call(fn, thisArg);\n}\n\n/**\n * Internal optimization only, DO NOT EXPOSE.\n * @internal\n */\nclass ConsumerObserver implements Observer {\n constructor(private partialObserver: Partial>) {}\n\n next(value: T): void {\n const { partialObserver } = this;\n if (partialObserver.next) {\n try {\n partialObserver.next(value);\n } catch (error) {\n handleUnhandledError(error);\n }\n }\n }\n\n error(err: any): void {\n const { partialObserver } = this;\n if (partialObserver.error) {\n try {\n partialObserver.error(err);\n } catch (error) {\n handleUnhandledError(error);\n }\n } else {\n handleUnhandledError(err);\n }\n }\n\n complete(): void {\n const { partialObserver } = this;\n if (partialObserver.complete) {\n try {\n partialObserver.complete();\n } catch (error) {\n handleUnhandledError(error);\n }\n }\n }\n}\n\nexport class SafeSubscriber extends Subscriber {\n constructor(\n observerOrNext?: Partial> | ((value: T) => void) | null,\n error?: ((e?: any) => void) | null,\n complete?: (() => void) | null\n ) {\n super();\n\n let partialObserver: Partial>;\n if (isFunction(observerOrNext) || !observerOrNext) {\n // The first argument is a function, not an observer. The next\n // two arguments *could* be observers, or they could be empty.\n partialObserver = {\n next: (observerOrNext ?? undefined) as (((value: T) => void) | undefined),\n error: error ?? undefined,\n complete: complete ?? undefined,\n };\n } else {\n // The first argument is a partial observer.\n let context: any;\n if (this && config.useDeprecatedNextContext) {\n // This is a deprecated path that made `this.unsubscribe()` available in\n // next handler functions passed to subscribe. This only exists behind a flag\n // now, as it is *very* slow.\n context = Object.create(observerOrNext);\n context.unsubscribe = () => this.unsubscribe();\n partialObserver = {\n next: observerOrNext.next && bind(observerOrNext.next, context),\n error: observerOrNext.error && bind(observerOrNext.error, context),\n complete: observerOrNext.complete && bind(observerOrNext.complete, context),\n };\n } else {\n // The \"normal\" path. Just use the partial observer directly.\n partialObserver = observerOrNext;\n }\n }\n\n // Wrap the partial observer to ensure it's a full observer, and\n // make sure proper error handling is accounted for.\n this.destination = new ConsumerObserver(partialObserver);\n }\n}\n\nfunction handleUnhandledError(error: any) {\n if (config.useDeprecatedSynchronousErrorHandling) {\n captureError(error);\n } else {\n // Ideal path, we report this as an unhandled error,\n // which is thrown on a new call stack.\n reportUnhandledError(error);\n }\n}\n\n/**\n * An error handler used when no error handler was supplied\n * to the SafeSubscriber -- meaning no error handler was supplied\n * do the `subscribe` call on our observable.\n * @param err The error to handle\n */\nfunction defaultErrorHandler(err: any) {\n throw err;\n}\n\n/**\n * A handler for notifications that cannot be sent to a stopped subscriber.\n * @param notification The notification being sent\n * @param subscriber The stopped subscriber\n */\nfunction handleStoppedNotification(notification: ObservableNotification, subscriber: Subscriber) {\n const { onStoppedNotification } = config;\n onStoppedNotification && timeoutProvider.setTimeout(() => onStoppedNotification(notification, subscriber));\n}\n\n/**\n * The observer used as a stub for subscriptions where the user did not\n * pass any arguments to `subscribe`. Comes with the default error handling\n * behavior.\n */\nexport const EMPTY_OBSERVER: Readonly> & { closed: true } = {\n closed: true,\n next: noop,\n error: defaultErrorHandler,\n complete: noop,\n};\n", "/**\n * Symbol.observable or a string \"@@observable\". Used for interop\n *\n * @deprecated We will no longer be exporting this symbol in upcoming versions of RxJS.\n * Instead polyfill and use Symbol.observable directly *or* use https://www.npmjs.com/package/symbol-observable\n */\nexport const observable: string | symbol = (() => (typeof Symbol === 'function' && Symbol.observable) || '@@observable')();\n", "/**\n * This function takes one parameter and just returns it. Simply put,\n * this is like `(x: T): T => x`.\n *\n * ## Examples\n *\n * This is useful in some cases when using things like `mergeMap`\n *\n * ```ts\n * import { interval, take, map, range, mergeMap, identity } from 'rxjs';\n *\n * const source$ = interval(1000).pipe(take(5));\n *\n * const result$ = source$.pipe(\n * map(i => range(i)),\n * mergeMap(identity) // same as mergeMap(x => x)\n * );\n *\n * result$.subscribe({\n * next: console.log\n * });\n * ```\n *\n * Or when you want to selectively apply an operator\n *\n * ```ts\n * import { interval, take, identity } from 'rxjs';\n *\n * const shouldLimit = () => Math.random() < 0.5;\n *\n * const source$ = interval(1000);\n *\n * const result$ = source$.pipe(shouldLimit() ? take(5) : identity);\n *\n * result$.subscribe({\n * next: console.log\n * });\n * ```\n *\n * @param x Any value that is returned by this function\n * @returns The value passed as the first parameter to this function\n */\nexport function identity(x: T): T {\n return x;\n}\n", "import { identity } from './identity';\nimport { UnaryFunction } from '../types';\n\nexport function pipe(): typeof identity;\nexport function pipe(fn1: UnaryFunction): UnaryFunction;\nexport function pipe(fn1: UnaryFunction, fn2: UnaryFunction): UnaryFunction;\nexport function pipe(fn1: UnaryFunction, fn2: UnaryFunction, fn3: UnaryFunction): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction,\n fn6: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction,\n fn6: UnaryFunction,\n fn7: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction,\n fn6: UnaryFunction,\n fn7: UnaryFunction,\n fn8: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction,\n fn6: UnaryFunction,\n fn7: UnaryFunction,\n fn8: UnaryFunction,\n fn9: UnaryFunction\n): UnaryFunction;\nexport function pipe(\n fn1: UnaryFunction,\n fn2: UnaryFunction,\n fn3: UnaryFunction,\n fn4: UnaryFunction,\n fn5: UnaryFunction,\n fn6: UnaryFunction,\n fn7: UnaryFunction,\n fn8: UnaryFunction,\n fn9: UnaryFunction,\n ...fns: UnaryFunction[]\n): UnaryFunction;\n\n/**\n * pipe() can be called on one or more functions, each of which can take one argument (\"UnaryFunction\")\n * and uses it to return a value.\n * It returns a function that takes one argument, passes it to the first UnaryFunction, and then\n * passes the result to the next one, passes that result to the next one, and so on. \n */\nexport function pipe(...fns: Array>): UnaryFunction {\n return pipeFromArray(fns);\n}\n\n/** @internal */\nexport function pipeFromArray(fns: Array>): UnaryFunction {\n if (fns.length === 0) {\n return identity as UnaryFunction;\n }\n\n if (fns.length === 1) {\n return fns[0];\n }\n\n return function piped(input: T): R {\n return fns.reduce((prev: any, fn: UnaryFunction) => fn(prev), input as any);\n };\n}\n", "import { Operator } from './Operator';\nimport { SafeSubscriber, Subscriber } from './Subscriber';\nimport { isSubscription, Subscription } from './Subscription';\nimport { TeardownLogic, OperatorFunction, Subscribable, Observer } from './types';\nimport { observable as Symbol_observable } from './symbol/observable';\nimport { pipeFromArray } from './util/pipe';\nimport { config } from './config';\nimport { isFunction } from './util/isFunction';\nimport { errorContext } from './util/errorContext';\n\n/**\n * A representation of any set of values over any amount of time. This is the most basic building block\n * of RxJS.\n *\n * @class Observable\n */\nexport class Observable implements Subscribable {\n /**\n * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n */\n source: Observable | undefined;\n\n /**\n * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n */\n operator: Operator | undefined;\n\n /**\n * @constructor\n * @param {Function} subscribe the function that is called when the Observable is\n * initially subscribed to. This function is given a Subscriber, to which new values\n * can be `next`ed, or an `error` method can be called to raise an error, or\n * `complete` can be called to notify of a successful completion.\n */\n constructor(subscribe?: (this: Observable, subscriber: Subscriber) => TeardownLogic) {\n if (subscribe) {\n this._subscribe = subscribe;\n }\n }\n\n // HACK: Since TypeScript inherits static properties too, we have to\n // fight against TypeScript here so Subject can have a different static create signature\n /**\n * Creates a new Observable by calling the Observable constructor\n * @owner Observable\n * @method create\n * @param {Function} subscribe? the subscriber function to be passed to the Observable constructor\n * @return {Observable} a new observable\n * @nocollapse\n * @deprecated Use `new Observable()` instead. Will be removed in v8.\n */\n static create: (...args: any[]) => any = (subscribe?: (subscriber: Subscriber) => TeardownLogic) => {\n return new Observable(subscribe);\n };\n\n /**\n * Creates a new Observable, with this Observable instance as the source, and the passed\n * operator defined as the new observable's operator.\n * @method lift\n * @param operator the operator defining the operation to take on the observable\n * @return a new observable with the Operator applied\n * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n * If you have implemented an operator using `lift`, it is recommended that you create an\n * operator by simply returning `new Observable()` directly. See \"Creating new operators from\n * scratch\" section here: https://rxjs.dev/guide/operators\n */\n lift(operator?: Operator): Observable {\n const observable = new Observable();\n observable.source = this;\n observable.operator = operator;\n return observable;\n }\n\n subscribe(observerOrNext?: Partial> | ((value: T) => void)): Subscription;\n /** @deprecated Instead of passing separate callback arguments, use an observer argument. Signatures taking separate callback arguments will be removed in v8. Details: https://rxjs.dev/deprecations/subscribe-arguments */\n subscribe(next?: ((value: T) => void) | null, error?: ((error: any) => void) | null, complete?: (() => void) | null): Subscription;\n /**\n * Invokes an execution of an Observable and registers Observer handlers for notifications it will emit.\n *\n * Use it when you have all these Observables, but still nothing is happening.\n *\n * `subscribe` is not a regular operator, but a method that calls Observable's internal `subscribe` function. It\n * might be for example a function that you passed to Observable's constructor, but most of the time it is\n * a library implementation, which defines what will be emitted by an Observable, and when it be will emitted. This means\n * that calling `subscribe` is actually the moment when Observable starts its work, not when it is created, as it is often\n * the thought.\n *\n * Apart from starting the execution of an Observable, this method allows you to listen for values\n * that an Observable emits, as well as for when it completes or errors. You can achieve this in two\n * of the following ways.\n *\n * The first way is creating an object that implements {@link Observer} interface. It should have methods\n * defined by that interface, but note that it should be just a regular JavaScript object, which you can create\n * yourself in any way you want (ES6 class, classic function constructor, object literal etc.). In particular, do\n * not attempt to use any RxJS implementation details to create Observers - you don't need them. Remember also\n * that your object does not have to implement all methods. If you find yourself creating a method that doesn't\n * do anything, you can simply omit it. Note however, if the `error` method is not provided and an error happens,\n * it will be thrown asynchronously. Errors thrown asynchronously cannot be caught using `try`/`catch`. Instead,\n * use the {@link onUnhandledError} configuration option or use a runtime handler (like `window.onerror` or\n * `process.on('error)`) to be notified of unhandled errors. Because of this, it's recommended that you provide\n * an `error` method to avoid missing thrown errors.\n *\n * The second way is to give up on Observer object altogether and simply provide callback functions in place of its methods.\n * This means you can provide three functions as arguments to `subscribe`, where the first function is equivalent\n * of a `next` method, the second of an `error` method and the third of a `complete` method. Just as in case of an Observer,\n * if you do not need to listen for something, you can omit a function by passing `undefined` or `null`,\n * since `subscribe` recognizes these functions by where they were placed in function call. When it comes\n * to the `error` function, as with an Observer, if not provided, errors emitted by an Observable will be thrown asynchronously.\n *\n * You can, however, subscribe with no parameters at all. This may be the case where you're not interested in terminal events\n * and you also handled emissions internally by using operators (e.g. using `tap`).\n *\n * Whichever style of calling `subscribe` you use, in both cases it returns a Subscription object.\n * This object allows you to call `unsubscribe` on it, which in turn will stop the work that an Observable does and will clean\n * up all resources that an Observable used. Note that cancelling a subscription will not call `complete` callback\n * provided to `subscribe` function, which is reserved for a regular completion signal that comes from an Observable.\n *\n * Remember that callbacks provided to `subscribe` are not guaranteed to be called asynchronously.\n * It is an Observable itself that decides when these functions will be called. For example {@link of}\n * by default emits all its values synchronously. Always check documentation for how given Observable\n * will behave when subscribed and if its default behavior can be modified with a `scheduler`.\n *\n * #### Examples\n *\n * Subscribe with an {@link guide/observer Observer}\n *\n * ```ts\n * import { of } from 'rxjs';\n *\n * const sumObserver = {\n * sum: 0,\n * next(value) {\n * console.log('Adding: ' + value);\n * this.sum = this.sum + value;\n * },\n * error() {\n * // We actually could just remove this method,\n * // since we do not really care about errors right now.\n * },\n * complete() {\n * console.log('Sum equals: ' + this.sum);\n * }\n * };\n *\n * of(1, 2, 3) // Synchronously emits 1, 2, 3 and then completes.\n * .subscribe(sumObserver);\n *\n * // Logs:\n * // 'Adding: 1'\n * // 'Adding: 2'\n * // 'Adding: 3'\n * // 'Sum equals: 6'\n * ```\n *\n * Subscribe with functions ({@link deprecations/subscribe-arguments deprecated})\n *\n * ```ts\n * import { of } from 'rxjs'\n *\n * let sum = 0;\n *\n * of(1, 2, 3).subscribe(\n * value => {\n * console.log('Adding: ' + value);\n * sum = sum + value;\n * },\n * undefined,\n * () => console.log('Sum equals: ' + sum)\n * );\n *\n * // Logs:\n * // 'Adding: 1'\n * // 'Adding: 2'\n * // 'Adding: 3'\n * // 'Sum equals: 6'\n * ```\n *\n * Cancel a subscription\n *\n * ```ts\n * import { interval } from 'rxjs';\n *\n * const subscription = interval(1000).subscribe({\n * next(num) {\n * console.log(num)\n * },\n * complete() {\n * // Will not be called, even when cancelling subscription.\n * console.log('completed!');\n * }\n * });\n *\n * setTimeout(() => {\n * subscription.unsubscribe();\n * console.log('unsubscribed!');\n * }, 2500);\n *\n * // Logs:\n * // 0 after 1s\n * // 1 after 2s\n * // 'unsubscribed!' after 2.5s\n * ```\n *\n * @param {Observer|Function} observerOrNext (optional) Either an observer with methods to be called,\n * or the first of three possible handlers, which is the handler for each value emitted from the subscribed\n * Observable.\n * @param {Function} error (optional) A handler for a terminal event resulting from an error. If no error handler is provided,\n * the error will be thrown asynchronously as unhandled.\n * @param {Function} complete (optional) A handler for a terminal event resulting from successful completion.\n * @return {Subscription} a subscription reference to the registered handlers\n * @method subscribe\n */\n subscribe(\n observerOrNext?: Partial> | ((value: T) => void) | null,\n error?: ((error: any) => void) | null,\n complete?: (() => void) | null\n ): Subscription {\n const subscriber = isSubscriber(observerOrNext) ? observerOrNext : new SafeSubscriber(observerOrNext, error, complete);\n\n errorContext(() => {\n const { operator, source } = this;\n subscriber.add(\n operator\n ? // We're dealing with a subscription in the\n // operator chain to one of our lifted operators.\n operator.call(subscriber, source)\n : source\n ? // If `source` has a value, but `operator` does not, something that\n // had intimate knowledge of our API, like our `Subject`, must have\n // set it. We're going to just call `_subscribe` directly.\n this._subscribe(subscriber)\n : // In all other cases, we're likely wrapping a user-provided initializer\n // function, so we need to catch errors and handle them appropriately.\n this._trySubscribe(subscriber)\n );\n });\n\n return subscriber;\n }\n\n /** @internal */\n protected _trySubscribe(sink: Subscriber): TeardownLogic {\n try {\n return this._subscribe(sink);\n } catch (err) {\n // We don't need to return anything in this case,\n // because it's just going to try to `add()` to a subscription\n // above.\n sink.error(err);\n }\n }\n\n /**\n * Used as a NON-CANCELLABLE means of subscribing to an observable, for use with\n * APIs that expect promises, like `async/await`. You cannot unsubscribe from this.\n *\n * **WARNING**: Only use this with observables you *know* will complete. If the source\n * observable does not complete, you will end up with a promise that is hung up, and\n * potentially all of the state of an async function hanging out in memory. To avoid\n * this situation, look into adding something like {@link timeout}, {@link take},\n * {@link takeWhile}, or {@link takeUntil} amongst others.\n *\n * #### Example\n *\n * ```ts\n * import { interval, take } from 'rxjs';\n *\n * const source$ = interval(1000).pipe(take(4));\n *\n * async function getTotal() {\n * let total = 0;\n *\n * await source$.forEach(value => {\n * total += value;\n * console.log('observable -> ' + value);\n * });\n *\n * return total;\n * }\n *\n * getTotal().then(\n * total => console.log('Total: ' + total)\n * );\n *\n * // Expected:\n * // 'observable -> 0'\n * // 'observable -> 1'\n * // 'observable -> 2'\n * // 'observable -> 3'\n * // 'Total: 6'\n * ```\n *\n * @param next a handler for each value emitted by the observable\n * @return a promise that either resolves on observable completion or\n * rejects with the handled error\n */\n forEach(next: (value: T) => void): Promise;\n\n /**\n * @param next a handler for each value emitted by the observable\n * @param promiseCtor a constructor function used to instantiate the Promise\n * @return a promise that either resolves on observable completion or\n * rejects with the handled error\n * @deprecated Passing a Promise constructor will no longer be available\n * in upcoming versions of RxJS. This is because it adds weight to the library, for very\n * little benefit. If you need this functionality, it is recommended that you either\n * polyfill Promise, or you create an adapter to convert the returned native promise\n * to whatever promise implementation you wanted. Will be removed in v8.\n */\n forEach(next: (value: T) => void, promiseCtor: PromiseConstructorLike): Promise;\n\n forEach(next: (value: T) => void, promiseCtor?: PromiseConstructorLike): Promise {\n promiseCtor = getPromiseCtor(promiseCtor);\n\n return new promiseCtor((resolve, reject) => {\n const subscriber = new SafeSubscriber({\n next: (value) => {\n try {\n next(value);\n } catch (err) {\n reject(err);\n subscriber.unsubscribe();\n }\n },\n error: reject,\n complete: resolve,\n });\n this.subscribe(subscriber);\n }) as Promise;\n }\n\n /** @internal */\n protected _subscribe(subscriber: Subscriber): TeardownLogic {\n return this.source?.subscribe(subscriber);\n }\n\n /**\n * An interop point defined by the es7-observable spec https://github.com/zenparsing/es-observable\n * @method Symbol.observable\n * @return {Observable} this instance of the observable\n */\n [Symbol_observable]() {\n return this;\n }\n\n /* tslint:disable:max-line-length */\n pipe(): Observable;\n pipe(op1: OperatorFunction): Observable;\n pipe(op1: OperatorFunction, op2: OperatorFunction): Observable;\n pipe(op1: OperatorFunction, op2: OperatorFunction, op3: OperatorFunction): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction,\n op6: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction,\n op6: OperatorFunction,\n op7: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction,\n op6: OperatorFunction,\n op7: OperatorFunction,\n op8: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction,\n op6: OperatorFunction,\n op7: OperatorFunction,\n op8: OperatorFunction,\n op9: OperatorFunction\n ): Observable;\n pipe(\n op1: OperatorFunction,\n op2: OperatorFunction,\n op3: OperatorFunction,\n op4: OperatorFunction,\n op5: OperatorFunction,\n op6: OperatorFunction,\n op7: OperatorFunction,\n op8: OperatorFunction,\n op9: OperatorFunction,\n ...operations: OperatorFunction[]\n ): Observable;\n /* tslint:enable:max-line-length */\n\n /**\n * Used to stitch together functional operators into a chain.\n * @method pipe\n * @return {Observable} the Observable result of all of the operators having\n * been called in the order they were passed in.\n *\n * ## Example\n *\n * ```ts\n * import { interval, filter, map, scan } from 'rxjs';\n *\n * interval(1000)\n * .pipe(\n * filter(x => x % 2 === 0),\n * map(x => x + x),\n * scan((acc, x) => acc + x)\n * )\n * .subscribe(x => console.log(x));\n * ```\n */\n pipe(...operations: OperatorFunction[]): Observable {\n return pipeFromArray(operations)(this);\n }\n\n /* tslint:disable:max-line-length */\n /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n toPromise(): Promise;\n /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n toPromise(PromiseCtor: typeof Promise): Promise;\n /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n toPromise(PromiseCtor: PromiseConstructorLike): Promise;\n /* tslint:enable:max-line-length */\n\n /**\n * Subscribe to this Observable and get a Promise resolving on\n * `complete` with the last emission (if any).\n *\n * **WARNING**: Only use this with observables you *know* will complete. If the source\n * observable does not complete, you will end up with a promise that is hung up, and\n * potentially all of the state of an async function hanging out in memory. To avoid\n * this situation, look into adding something like {@link timeout}, {@link take},\n * {@link takeWhile}, or {@link takeUntil} amongst others.\n *\n * @method toPromise\n * @param [promiseCtor] a constructor function used to instantiate\n * the Promise\n * @return A Promise that resolves with the last value emit, or\n * rejects on an error. If there were no emissions, Promise\n * resolves with undefined.\n * @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise\n */\n toPromise(promiseCtor?: PromiseConstructorLike): Promise {\n promiseCtor = getPromiseCtor(promiseCtor);\n\n return new promiseCtor((resolve, reject) => {\n let value: T | undefined;\n this.subscribe(\n (x: T) => (value = x),\n (err: any) => reject(err),\n () => resolve(value)\n );\n }) as Promise;\n }\n}\n\n/**\n * Decides between a passed promise constructor from consuming code,\n * A default configured promise constructor, and the native promise\n * constructor and returns it. If nothing can be found, it will throw\n * an error.\n * @param promiseCtor The optional promise constructor to passed by consuming code\n */\nfunction getPromiseCtor(promiseCtor: PromiseConstructorLike | undefined) {\n return promiseCtor ?? config.Promise ?? Promise;\n}\n\nfunction isObserver(value: any): value is Observer {\n return value && isFunction(value.next) && isFunction(value.error) && isFunction(value.complete);\n}\n\nfunction isSubscriber(value: any): value is Subscriber {\n return (value && value instanceof Subscriber) || (isObserver(value) && isSubscription(value));\n}\n", "import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { OperatorFunction } from '../types';\nimport { isFunction } from './isFunction';\n\n/**\n * Used to determine if an object is an Observable with a lift function.\n */\nexport function hasLift(source: any): source is { lift: InstanceType['lift'] } {\n return isFunction(source?.lift);\n}\n\n/**\n * Creates an `OperatorFunction`. Used to define operators throughout the library in a concise way.\n * @param init The logic to connect the liftedSource to the subscriber at the moment of subscription.\n */\nexport function operate(\n init: (liftedSource: Observable, subscriber: Subscriber) => (() => void) | void\n): OperatorFunction {\n return (source: Observable) => {\n if (hasLift(source)) {\n return source.lift(function (this: Subscriber, liftedSource: Observable) {\n try {\n return init(liftedSource, this);\n } catch (err) {\n this.error(err);\n }\n });\n }\n throw new TypeError('Unable to lift unknown Observable type');\n };\n}\n", "import { Subscriber } from '../Subscriber';\n\n/**\n * Creates an instance of an `OperatorSubscriber`.\n * @param destination The downstream subscriber.\n * @param onNext Handles next values, only called if this subscriber is not stopped or closed. Any\n * error that occurs in this function is caught and sent to the `error` method of this subscriber.\n * @param onError Handles errors from the subscription, any errors that occur in this handler are caught\n * and send to the `destination` error handler.\n * @param onComplete Handles completion notification from the subscription. Any errors that occur in\n * this handler are sent to the `destination` error handler.\n * @param onFinalize Additional teardown logic here. This will only be called on teardown if the\n * subscriber itself is not already closed. This is called after all other teardown logic is executed.\n */\nexport function createOperatorSubscriber(\n destination: Subscriber,\n onNext?: (value: T) => void,\n onComplete?: () => void,\n onError?: (err: any) => void,\n onFinalize?: () => void\n): Subscriber {\n return new OperatorSubscriber(destination, onNext, onComplete, onError, onFinalize);\n}\n\n/**\n * A generic helper for allowing operators to be created with a Subscriber and\n * use closures to capture necessary state from the operator function itself.\n */\nexport class OperatorSubscriber extends Subscriber {\n /**\n * Creates an instance of an `OperatorSubscriber`.\n * @param destination The downstream subscriber.\n * @param onNext Handles next values, only called if this subscriber is not stopped or closed. Any\n * error that occurs in this function is caught and sent to the `error` method of this subscriber.\n * @param onError Handles errors from the subscription, any errors that occur in this handler are caught\n * and send to the `destination` error handler.\n * @param onComplete Handles completion notification from the subscription. Any errors that occur in\n * this handler are sent to the `destination` error handler.\n * @param onFinalize Additional finalization logic here. This will only be called on finalization if the\n * subscriber itself is not already closed. This is called after all other finalization logic is executed.\n * @param shouldUnsubscribe An optional check to see if an unsubscribe call should truly unsubscribe.\n * NOTE: This currently **ONLY** exists to support the strange behavior of {@link groupBy}, where unsubscription\n * to the resulting observable does not actually disconnect from the source if there are active subscriptions\n * to any grouped observable. (DO NOT EXPOSE OR USE EXTERNALLY!!!)\n */\n constructor(\n destination: Subscriber,\n onNext?: (value: T) => void,\n onComplete?: () => void,\n onError?: (err: any) => void,\n private onFinalize?: () => void,\n private shouldUnsubscribe?: () => boolean\n ) {\n // It's important - for performance reasons - that all of this class's\n // members are initialized and that they are always initialized in the same\n // order. This will ensure that all OperatorSubscriber instances have the\n // same hidden class in V8. This, in turn, will help keep the number of\n // hidden classes involved in property accesses within the base class as\n // low as possible. If the number of hidden classes involved exceeds four,\n // the property accesses will become megamorphic and performance penalties\n // will be incurred - i.e. inline caches won't be used.\n //\n // The reasons for ensuring all instances have the same hidden class are\n // further discussed in this blog post from Benedikt Meurer:\n // https://benediktmeurer.de/2018/03/23/impact-of-polymorphism-on-component-based-frameworks-like-react/\n super(destination);\n this._next = onNext\n ? function (this: OperatorSubscriber, value: T) {\n try {\n onNext(value);\n } catch (err) {\n destination.error(err);\n }\n }\n : super._next;\n this._error = onError\n ? function (this: OperatorSubscriber, err: any) {\n try {\n onError(err);\n } catch (err) {\n // Send any errors that occur down stream.\n destination.error(err);\n } finally {\n // Ensure finalization.\n this.unsubscribe();\n }\n }\n : super._error;\n this._complete = onComplete\n ? function (this: OperatorSubscriber) {\n try {\n onComplete();\n } catch (err) {\n // Send any errors that occur down stream.\n destination.error(err);\n } finally {\n // Ensure finalization.\n this.unsubscribe();\n }\n }\n : super._complete;\n }\n\n unsubscribe() {\n if (!this.shouldUnsubscribe || this.shouldUnsubscribe()) {\n const { closed } = this;\n super.unsubscribe();\n // Execute additional teardown if we have any and we didn't already do so.\n !closed && this.onFinalize?.();\n }\n }\n}\n", "import { Subscription } from '../Subscription';\n\ninterface AnimationFrameProvider {\n schedule(callback: FrameRequestCallback): Subscription;\n requestAnimationFrame: typeof requestAnimationFrame;\n cancelAnimationFrame: typeof cancelAnimationFrame;\n delegate:\n | {\n requestAnimationFrame: typeof requestAnimationFrame;\n cancelAnimationFrame: typeof cancelAnimationFrame;\n }\n | undefined;\n}\n\nexport const animationFrameProvider: AnimationFrameProvider = {\n // When accessing the delegate, use the variable rather than `this` so that\n // the functions can be called without being bound to the provider.\n schedule(callback) {\n let request = requestAnimationFrame;\n let cancel: typeof cancelAnimationFrame | undefined = cancelAnimationFrame;\n const { delegate } = animationFrameProvider;\n if (delegate) {\n request = delegate.requestAnimationFrame;\n cancel = delegate.cancelAnimationFrame;\n }\n const handle = request((timestamp) => {\n // Clear the cancel function. The request has been fulfilled, so\n // attempting to cancel the request upon unsubscription would be\n // pointless.\n cancel = undefined;\n callback(timestamp);\n });\n return new Subscription(() => cancel?.(handle));\n },\n requestAnimationFrame(...args) {\n const { delegate } = animationFrameProvider;\n return (delegate?.requestAnimationFrame || requestAnimationFrame)(...args);\n },\n cancelAnimationFrame(...args) {\n const { delegate } = animationFrameProvider;\n return (delegate?.cancelAnimationFrame || cancelAnimationFrame)(...args);\n },\n delegate: undefined,\n};\n", "import { createErrorClass } from './createErrorClass';\n\nexport interface ObjectUnsubscribedError extends Error {}\n\nexport interface ObjectUnsubscribedErrorCtor {\n /**\n * @deprecated Internal implementation detail. Do not construct error instances.\n * Cannot be tagged as internal: https://github.com/ReactiveX/rxjs/issues/6269\n */\n new (): ObjectUnsubscribedError;\n}\n\n/**\n * An error thrown when an action is invalid because the object has been\n * unsubscribed.\n *\n * @see {@link Subject}\n * @see {@link BehaviorSubject}\n *\n * @class ObjectUnsubscribedError\n */\nexport const ObjectUnsubscribedError: ObjectUnsubscribedErrorCtor = createErrorClass(\n (_super) =>\n function ObjectUnsubscribedErrorImpl(this: any) {\n _super(this);\n this.name = 'ObjectUnsubscribedError';\n this.message = 'object unsubscribed';\n }\n);\n", "import { Operator } from './Operator';\nimport { Observable } from './Observable';\nimport { Subscriber } from './Subscriber';\nimport { Subscription, EMPTY_SUBSCRIPTION } from './Subscription';\nimport { Observer, SubscriptionLike, TeardownLogic } from './types';\nimport { ObjectUnsubscribedError } from './util/ObjectUnsubscribedError';\nimport { arrRemove } from './util/arrRemove';\nimport { errorContext } from './util/errorContext';\n\n/**\n * A Subject is a special type of Observable that allows values to be\n * multicasted to many Observers. Subjects are like EventEmitters.\n *\n * Every Subject is an Observable and an Observer. You can subscribe to a\n * Subject, and you can call next to feed values as well as error and complete.\n */\nexport class Subject extends Observable implements SubscriptionLike {\n closed = false;\n\n private currentObservers: Observer[] | null = null;\n\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n observers: Observer[] = [];\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n isStopped = false;\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n hasError = false;\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n thrownError: any = null;\n\n /**\n * Creates a \"subject\" by basically gluing an observer to an observable.\n *\n * @nocollapse\n * @deprecated Recommended you do not use. Will be removed at some point in the future. Plans for replacement still under discussion.\n */\n static create: (...args: any[]) => any = (destination: Observer, source: Observable): AnonymousSubject => {\n return new AnonymousSubject(destination, source);\n };\n\n constructor() {\n // NOTE: This must be here to obscure Observable's constructor.\n super();\n }\n\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n lift(operator: Operator): Observable {\n const subject = new AnonymousSubject(this, this);\n subject.operator = operator as any;\n return subject as any;\n }\n\n /** @internal */\n protected _throwIfClosed() {\n if (this.closed) {\n throw new ObjectUnsubscribedError();\n }\n }\n\n next(value: T) {\n errorContext(() => {\n this._throwIfClosed();\n if (!this.isStopped) {\n if (!this.currentObservers) {\n this.currentObservers = Array.from(this.observers);\n }\n for (const observer of this.currentObservers) {\n observer.next(value);\n }\n }\n });\n }\n\n error(err: any) {\n errorContext(() => {\n this._throwIfClosed();\n if (!this.isStopped) {\n this.hasError = this.isStopped = true;\n this.thrownError = err;\n const { observers } = this;\n while (observers.length) {\n observers.shift()!.error(err);\n }\n }\n });\n }\n\n complete() {\n errorContext(() => {\n this._throwIfClosed();\n if (!this.isStopped) {\n this.isStopped = true;\n const { observers } = this;\n while (observers.length) {\n observers.shift()!.complete();\n }\n }\n });\n }\n\n unsubscribe() {\n this.isStopped = this.closed = true;\n this.observers = this.currentObservers = null!;\n }\n\n get observed() {\n return this.observers?.length > 0;\n }\n\n /** @internal */\n protected _trySubscribe(subscriber: Subscriber): TeardownLogic {\n this._throwIfClosed();\n return super._trySubscribe(subscriber);\n }\n\n /** @internal */\n protected _subscribe(subscriber: Subscriber): Subscription {\n this._throwIfClosed();\n this._checkFinalizedStatuses(subscriber);\n return this._innerSubscribe(subscriber);\n }\n\n /** @internal */\n protected _innerSubscribe(subscriber: Subscriber) {\n const { hasError, isStopped, observers } = this;\n if (hasError || isStopped) {\n return EMPTY_SUBSCRIPTION;\n }\n this.currentObservers = null;\n observers.push(subscriber);\n return new Subscription(() => {\n this.currentObservers = null;\n arrRemove(observers, subscriber);\n });\n }\n\n /** @internal */\n protected _checkFinalizedStatuses(subscriber: Subscriber) {\n const { hasError, thrownError, isStopped } = this;\n if (hasError) {\n subscriber.error(thrownError);\n } else if (isStopped) {\n subscriber.complete();\n }\n }\n\n /**\n * Creates a new Observable with this Subject as the source. You can do this\n * to create custom Observer-side logic of the Subject and conceal it from\n * code that uses the Observable.\n * @return {Observable} Observable that the Subject casts to\n */\n asObservable(): Observable {\n const observable: any = new Observable();\n observable.source = this;\n return observable;\n }\n}\n\n/**\n * @class AnonymousSubject\n */\nexport class AnonymousSubject extends Subject {\n constructor(\n /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n public destination?: Observer,\n source?: Observable\n ) {\n super();\n this.source = source;\n }\n\n next(value: T) {\n this.destination?.next?.(value);\n }\n\n error(err: any) {\n this.destination?.error?.(err);\n }\n\n complete() {\n this.destination?.complete?.();\n }\n\n /** @internal */\n protected _subscribe(subscriber: Subscriber): Subscription {\n return this.source?.subscribe(subscriber) ?? EMPTY_SUBSCRIPTION;\n }\n}\n", "import { Subject } from './Subject';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\n\n/**\n * A variant of Subject that requires an initial value and emits its current\n * value whenever it is subscribed to.\n *\n * @class BehaviorSubject\n */\nexport class BehaviorSubject extends Subject {\n constructor(private _value: T) {\n super();\n }\n\n get value(): T {\n return this.getValue();\n }\n\n /** @internal */\n protected _subscribe(subscriber: Subscriber): Subscription {\n const subscription = super._subscribe(subscriber);\n !subscription.closed && subscriber.next(this._value);\n return subscription;\n }\n\n getValue(): T {\n const { hasError, thrownError, _value } = this;\n if (hasError) {\n throw thrownError;\n }\n this._throwIfClosed();\n return _value;\n }\n\n next(value: T): void {\n super.next((this._value = value));\n }\n}\n", "import { TimestampProvider } from '../types';\n\ninterface DateTimestampProvider extends TimestampProvider {\n delegate: TimestampProvider | undefined;\n}\n\nexport const dateTimestampProvider: DateTimestampProvider = {\n now() {\n // Use the variable rather than `this` so that the function can be called\n // without being bound to the provider.\n return (dateTimestampProvider.delegate || Date).now();\n },\n delegate: undefined,\n};\n", "import { Subject } from './Subject';\nimport { TimestampProvider } from './types';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { dateTimestampProvider } from './scheduler/dateTimestampProvider';\n\n/**\n * A variant of {@link Subject} that \"replays\" old values to new subscribers by emitting them when they first subscribe.\n *\n * `ReplaySubject` has an internal buffer that will store a specified number of values that it has observed. Like `Subject`,\n * `ReplaySubject` \"observes\" values by having them passed to its `next` method. When it observes a value, it will store that\n * value for a time determined by the configuration of the `ReplaySubject`, as passed to its constructor.\n *\n * When a new subscriber subscribes to the `ReplaySubject` instance, it will synchronously emit all values in its buffer in\n * a First-In-First-Out (FIFO) manner. The `ReplaySubject` will also complete, if it has observed completion; and it will\n * error if it has observed an error.\n *\n * There are two main configuration items to be concerned with:\n *\n * 1. `bufferSize` - This will determine how many items are stored in the buffer, defaults to infinite.\n * 2. `windowTime` - The amount of time to hold a value in the buffer before removing it from the buffer.\n *\n * Both configurations may exist simultaneously. So if you would like to buffer a maximum of 3 values, as long as the values\n * are less than 2 seconds old, you could do so with a `new ReplaySubject(3, 2000)`.\n *\n * ### Differences with BehaviorSubject\n *\n * `BehaviorSubject` is similar to `new ReplaySubject(1)`, with a couple of exceptions:\n *\n * 1. `BehaviorSubject` comes \"primed\" with a single value upon construction.\n * 2. `ReplaySubject` will replay values, even after observing an error, where `BehaviorSubject` will not.\n *\n * @see {@link Subject}\n * @see {@link BehaviorSubject}\n * @see {@link shareReplay}\n */\nexport class ReplaySubject extends Subject {\n private _buffer: (T | number)[] = [];\n private _infiniteTimeWindow = true;\n\n /**\n * @param bufferSize The size of the buffer to replay on subscription\n * @param windowTime The amount of time the buffered items will stay buffered\n * @param timestampProvider An object with a `now()` method that provides the current timestamp. This is used to\n * calculate the amount of time something has been buffered.\n */\n constructor(\n private _bufferSize = Infinity,\n private _windowTime = Infinity,\n private _timestampProvider: TimestampProvider = dateTimestampProvider\n ) {\n super();\n this._infiniteTimeWindow = _windowTime === Infinity;\n this._bufferSize = Math.max(1, _bufferSize);\n this._windowTime = Math.max(1, _windowTime);\n }\n\n next(value: T): void {\n const { isStopped, _buffer, _infiniteTimeWindow, _timestampProvider, _windowTime } = this;\n if (!isStopped) {\n _buffer.push(value);\n !_infiniteTimeWindow && _buffer.push(_timestampProvider.now() + _windowTime);\n }\n this._trimBuffer();\n super.next(value);\n }\n\n /** @internal */\n protected _subscribe(subscriber: Subscriber): Subscription {\n this._throwIfClosed();\n this._trimBuffer();\n\n const subscription = this._innerSubscribe(subscriber);\n\n const { _infiniteTimeWindow, _buffer } = this;\n // We use a copy here, so reentrant code does not mutate our array while we're\n // emitting it to a new subscriber.\n const copy = _buffer.slice();\n for (let i = 0; i < copy.length && !subscriber.closed; i += _infiniteTimeWindow ? 1 : 2) {\n subscriber.next(copy[i] as T);\n }\n\n this._checkFinalizedStatuses(subscriber);\n\n return subscription;\n }\n\n private _trimBuffer() {\n const { _bufferSize, _timestampProvider, _buffer, _infiniteTimeWindow } = this;\n // If we don't have an infinite buffer size, and we're over the length,\n // use splice to truncate the old buffer values off. Note that we have to\n // double the size for instances where we're not using an infinite time window\n // because we're storing the values and the timestamps in the same array.\n const adjustedBufferSize = (_infiniteTimeWindow ? 1 : 2) * _bufferSize;\n _bufferSize < Infinity && adjustedBufferSize < _buffer.length && _buffer.splice(0, _buffer.length - adjustedBufferSize);\n\n // Now, if we're not in an infinite time window, remove all values where the time is\n // older than what is allowed.\n if (!_infiniteTimeWindow) {\n const now = _timestampProvider.now();\n let last = 0;\n // Search the array for the first timestamp that isn't expired and\n // truncate the buffer up to that point.\n for (let i = 1; i < _buffer.length && (_buffer[i] as number) <= now; i += 2) {\n last = i;\n }\n last && _buffer.splice(0, last + 1);\n }\n }\n}\n", "import { Scheduler } from '../Scheduler';\nimport { Subscription } from '../Subscription';\nimport { SchedulerAction } from '../types';\n\n/**\n * A unit of work to be executed in a `scheduler`. An action is typically\n * created from within a {@link SchedulerLike} and an RxJS user does not need to concern\n * themselves about creating and manipulating an Action.\n *\n * ```ts\n * class Action extends Subscription {\n * new (scheduler: Scheduler, work: (state?: T) => void);\n * schedule(state?: T, delay: number = 0): Subscription;\n * }\n * ```\n *\n * @class Action\n */\nexport class Action extends Subscription {\n constructor(scheduler: Scheduler, work: (this: SchedulerAction, state?: T) => void) {\n super();\n }\n /**\n * Schedules this action on its parent {@link SchedulerLike} for execution. May be passed\n * some context object, `state`. May happen at some point in the future,\n * according to the `delay` parameter, if specified.\n * @param {T} [state] Some contextual data that the `work` function uses when\n * called by the Scheduler.\n * @param {number} [delay] Time to wait before executing the work, where the\n * time unit is implicit and defined by the Scheduler.\n * @return {void}\n */\n public schedule(state?: T, delay: number = 0): Subscription {\n return this;\n }\n}\n", "import type { TimerHandle } from './timerHandle';\ntype SetIntervalFunction = (handler: () => void, timeout?: number, ...args: any[]) => TimerHandle;\ntype ClearIntervalFunction = (handle: TimerHandle) => void;\n\ninterface IntervalProvider {\n setInterval: SetIntervalFunction;\n clearInterval: ClearIntervalFunction;\n delegate:\n | {\n setInterval: SetIntervalFunction;\n clearInterval: ClearIntervalFunction;\n }\n | undefined;\n}\n\nexport const intervalProvider: IntervalProvider = {\n // When accessing the delegate, use the variable rather than `this` so that\n // the functions can be called without being bound to the provider.\n setInterval(handler: () => void, timeout?: number, ...args) {\n const { delegate } = intervalProvider;\n if (delegate?.setInterval) {\n return delegate.setInterval(handler, timeout, ...args);\n }\n return setInterval(handler, timeout, ...args);\n },\n clearInterval(handle) {\n const { delegate } = intervalProvider;\n return (delegate?.clearInterval || clearInterval)(handle as any);\n },\n delegate: undefined,\n};\n", "import { Action } from './Action';\nimport { SchedulerAction } from '../types';\nimport { Subscription } from '../Subscription';\nimport { AsyncScheduler } from './AsyncScheduler';\nimport { intervalProvider } from './intervalProvider';\nimport { arrRemove } from '../util/arrRemove';\nimport { TimerHandle } from './timerHandle';\n\nexport class AsyncAction extends Action {\n public id: TimerHandle | undefined;\n public state?: T;\n // @ts-ignore: Property has no initializer and is not definitely assigned\n public delay: number;\n protected pending: boolean = false;\n\n constructor(protected scheduler: AsyncScheduler, protected work: (this: SchedulerAction, state?: T) => void) {\n super(scheduler, work);\n }\n\n public schedule(state?: T, delay: number = 0): Subscription {\n if (this.closed) {\n return this;\n }\n\n // Always replace the current state with the new state.\n this.state = state;\n\n const id = this.id;\n const scheduler = this.scheduler;\n\n //\n // Important implementation note:\n //\n // Actions only execute once by default, unless rescheduled from within the\n // scheduled callback. This allows us to implement single and repeat\n // actions via the same code path, without adding API surface area, as well\n // as mimic traditional recursion but across asynchronous boundaries.\n //\n // However, JS runtimes and timers distinguish between intervals achieved by\n // serial `setTimeout` calls vs. a single `setInterval` call. An interval of\n // serial `setTimeout` calls can be individually delayed, which delays\n // scheduling the next `setTimeout`, and so on. `setInterval` attempts to\n // guarantee the interval callback will be invoked more precisely to the\n // interval period, regardless of load.\n //\n // Therefore, we use `setInterval` to schedule single and repeat actions.\n // If the action reschedules itself with the same delay, the interval is not\n // canceled. If the action doesn't reschedule, or reschedules with a\n // different delay, the interval will be canceled after scheduled callback\n // execution.\n //\n if (id != null) {\n this.id = this.recycleAsyncId(scheduler, id, delay);\n }\n\n // Set the pending flag indicating that this action has been scheduled, or\n // has recursively rescheduled itself.\n this.pending = true;\n\n this.delay = delay;\n // If this action has already an async Id, don't request a new one.\n this.id = this.id ?? this.requestAsyncId(scheduler, this.id, delay);\n\n return this;\n }\n\n protected requestAsyncId(scheduler: AsyncScheduler, _id?: TimerHandle, delay: number = 0): TimerHandle {\n return intervalProvider.setInterval(scheduler.flush.bind(scheduler, this), delay);\n }\n\n protected recycleAsyncId(_scheduler: AsyncScheduler, id?: TimerHandle, delay: number | null = 0): TimerHandle | undefined {\n // If this action is rescheduled with the same delay time, don't clear the interval id.\n if (delay != null && this.delay === delay && this.pending === false) {\n return id;\n }\n // Otherwise, if the action's delay time is different from the current delay,\n // or the action has been rescheduled before it's executed, clear the interval id\n if (id != null) {\n intervalProvider.clearInterval(id);\n }\n\n return undefined;\n }\n\n /**\n * Immediately executes this action and the `work` it contains.\n * @return {any}\n */\n public execute(state: T, delay: number): any {\n if (this.closed) {\n return new Error('executing a cancelled action');\n }\n\n this.pending = false;\n const error = this._execute(state, delay);\n if (error) {\n return error;\n } else if (this.pending === false && this.id != null) {\n // Dequeue if the action didn't reschedule itself. Don't call\n // unsubscribe(), because the action could reschedule later.\n // For example:\n // ```\n // scheduler.schedule(function doWork(counter) {\n // /* ... I'm a busy worker bee ... */\n // var originalAction = this;\n // /* wait 100ms before rescheduling the action */\n // setTimeout(function () {\n // originalAction.schedule(counter + 1);\n // }, 100);\n // }, 1000);\n // ```\n this.id = this.recycleAsyncId(this.scheduler, this.id, null);\n }\n }\n\n protected _execute(state: T, _delay: number): any {\n let errored: boolean = false;\n let errorValue: any;\n try {\n this.work(state);\n } catch (e) {\n errored = true;\n // HACK: Since code elsewhere is relying on the \"truthiness\" of the\n // return here, we can't have it return \"\" or 0 or false.\n // TODO: Clean this up when we refactor schedulers mid-version-8 or so.\n errorValue = e ? e : new Error('Scheduled action threw falsy error');\n }\n if (errored) {\n this.unsubscribe();\n return errorValue;\n }\n }\n\n unsubscribe() {\n if (!this.closed) {\n const { id, scheduler } = this;\n const { actions } = scheduler;\n\n this.work = this.state = this.scheduler = null!;\n this.pending = false;\n\n arrRemove(actions, this);\n if (id != null) {\n this.id = this.recycleAsyncId(scheduler, id, null);\n }\n\n this.delay = null!;\n super.unsubscribe();\n }\n }\n}\n", "import { Action } from './scheduler/Action';\nimport { Subscription } from './Subscription';\nimport { SchedulerLike, SchedulerAction } from './types';\nimport { dateTimestampProvider } from './scheduler/dateTimestampProvider';\n\n/**\n * An execution context and a data structure to order tasks and schedule their\n * execution. Provides a notion of (potentially virtual) time, through the\n * `now()` getter method.\n *\n * Each unit of work in a Scheduler is called an `Action`.\n *\n * ```ts\n * class Scheduler {\n * now(): number;\n * schedule(work, delay?, state?): Subscription;\n * }\n * ```\n *\n * @class Scheduler\n * @deprecated Scheduler is an internal implementation detail of RxJS, and\n * should not be used directly. Rather, create your own class and implement\n * {@link SchedulerLike}. Will be made internal in v8.\n */\nexport class Scheduler implements SchedulerLike {\n public static now: () => number = dateTimestampProvider.now;\n\n constructor(private schedulerActionCtor: typeof Action, now: () => number = Scheduler.now) {\n this.now = now;\n }\n\n /**\n * A getter method that returns a number representing the current time\n * (at the time this function was called) according to the scheduler's own\n * internal clock.\n * @return {number} A number that represents the current time. May or may not\n * have a relation to wall-clock time. May or may not refer to a time unit\n * (e.g. milliseconds).\n */\n public now: () => number;\n\n /**\n * Schedules a function, `work`, for execution. May happen at some point in\n * the future, according to the `delay` parameter, if specified. May be passed\n * some context object, `state`, which will be passed to the `work` function.\n *\n * The given arguments will be processed an stored as an Action object in a\n * queue of actions.\n *\n * @param {function(state: ?T): ?Subscription} work A function representing a\n * task, or some unit of work to be executed by the Scheduler.\n * @param {number} [delay] Time to wait before executing the work, where the\n * time unit is implicit and defined by the Scheduler itself.\n * @param {T} [state] Some contextual data that the `work` function uses when\n * called by the Scheduler.\n * @return {Subscription} A subscription in order to be able to unsubscribe\n * the scheduled work.\n */\n public schedule(work: (this: SchedulerAction, state?: T) => void, delay: number = 0, state?: T): Subscription {\n return new this.schedulerActionCtor(this, work).schedule(state, delay);\n }\n}\n", "import { Scheduler } from '../Scheduler';\nimport { Action } from './Action';\nimport { AsyncAction } from './AsyncAction';\nimport { TimerHandle } from './timerHandle';\n\nexport class AsyncScheduler extends Scheduler {\n public actions: Array> = [];\n /**\n * A flag to indicate whether the Scheduler is currently executing a batch of\n * queued actions.\n * @type {boolean}\n * @internal\n */\n public _active: boolean = false;\n /**\n * An internal ID used to track the latest asynchronous task such as those\n * coming from `setTimeout`, `setInterval`, `requestAnimationFrame`, and\n * others.\n * @type {any}\n * @internal\n */\n public _scheduled: TimerHandle | undefined;\n\n constructor(SchedulerAction: typeof Action, now: () => number = Scheduler.now) {\n super(SchedulerAction, now);\n }\n\n public flush(action: AsyncAction): void {\n const { actions } = this;\n\n if (this._active) {\n actions.push(action);\n return;\n }\n\n let error: any;\n this._active = true;\n\n do {\n if ((error = action.execute(action.state, action.delay))) {\n break;\n }\n } while ((action = actions.shift()!)); // exhaust the scheduler queue\n\n this._active = false;\n\n if (error) {\n while ((action = actions.shift()!)) {\n action.unsubscribe();\n }\n throw error;\n }\n }\n}\n", "import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\n/**\n *\n * Async Scheduler\n *\n * Schedule task as if you used setTimeout(task, duration)\n *\n * `async` scheduler schedules tasks asynchronously, by putting them on the JavaScript\n * event loop queue. It is best used to delay tasks in time or to schedule tasks repeating\n * in intervals.\n *\n * If you just want to \"defer\" task, that is to perform it right after currently\n * executing synchronous code ends (commonly achieved by `setTimeout(deferredTask, 0)`),\n * better choice will be the {@link asapScheduler} scheduler.\n *\n * ## Examples\n * Use async scheduler to delay task\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * const task = () => console.log('it works!');\n *\n * asyncScheduler.schedule(task, 2000);\n *\n * // After 2 seconds logs:\n * // \"it works!\"\n * ```\n *\n * Use async scheduler to repeat task in intervals\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * function task(state) {\n * console.log(state);\n * this.schedule(state + 1, 1000); // `this` references currently executing Action,\n * // which we reschedule with new state and delay\n * }\n *\n * asyncScheduler.schedule(task, 3000, 0);\n *\n * // Logs:\n * // 0 after 3s\n * // 1 after 4s\n * // 2 after 5s\n * // 3 after 6s\n * ```\n */\n\nexport const asyncScheduler = new AsyncScheduler(AsyncAction);\n\n/**\n * @deprecated Renamed to {@link asyncScheduler}. Will be removed in v8.\n */\nexport const async = asyncScheduler;\n", "import { AsyncAction } from './AsyncAction';\nimport { Subscription } from '../Subscription';\nimport { QueueScheduler } from './QueueScheduler';\nimport { SchedulerAction } from '../types';\nimport { TimerHandle } from './timerHandle';\n\nexport class QueueAction extends AsyncAction {\n constructor(protected scheduler: QueueScheduler, protected work: (this: SchedulerAction, state?: T) => void) {\n super(scheduler, work);\n }\n\n public schedule(state?: T, delay: number = 0): Subscription {\n if (delay > 0) {\n return super.schedule(state, delay);\n }\n this.delay = delay;\n this.state = state;\n this.scheduler.flush(this);\n return this;\n }\n\n public execute(state: T, delay: number): any {\n return delay > 0 || this.closed ? super.execute(state, delay) : this._execute(state, delay);\n }\n\n protected requestAsyncId(scheduler: QueueScheduler, id?: TimerHandle, delay: number = 0): TimerHandle {\n // If delay exists and is greater than 0, or if the delay is null (the\n // action wasn't rescheduled) but was originally scheduled as an async\n // action, then recycle as an async action.\n\n if ((delay != null && delay > 0) || (delay == null && this.delay > 0)) {\n return super.requestAsyncId(scheduler, id, delay);\n }\n\n // Otherwise flush the scheduler starting with this action.\n scheduler.flush(this);\n\n // HACK: In the past, this was returning `void`. However, `void` isn't a valid\n // `TimerHandle`, and generally the return value here isn't really used. So the\n // compromise is to return `0` which is both \"falsy\" and a valid `TimerHandle`,\n // as opposed to refactoring every other instanceo of `requestAsyncId`.\n return 0;\n }\n}\n", "import { AsyncScheduler } from './AsyncScheduler';\n\nexport class QueueScheduler extends AsyncScheduler {\n}\n", "import { QueueAction } from './QueueAction';\nimport { QueueScheduler } from './QueueScheduler';\n\n/**\n *\n * Queue Scheduler\n *\n * Put every next task on a queue, instead of executing it immediately\n *\n * `queue` scheduler, when used with delay, behaves the same as {@link asyncScheduler} scheduler.\n *\n * When used without delay, it schedules given task synchronously - executes it right when\n * it is scheduled. However when called recursively, that is when inside the scheduled task,\n * another task is scheduled with queue scheduler, instead of executing immediately as well,\n * that task will be put on a queue and wait for current one to finish.\n *\n * This means that when you execute task with `queue` scheduler, you are sure it will end\n * before any other task scheduled with that scheduler will start.\n *\n * ## Examples\n * Schedule recursively first, then do something\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(() => {\n * queueScheduler.schedule(() => console.log('second')); // will not happen now, but will be put on a queue\n *\n * console.log('first');\n * });\n *\n * // Logs:\n * // \"first\"\n * // \"second\"\n * ```\n *\n * Reschedule itself recursively\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(function(state) {\n * if (state !== 0) {\n * console.log('before', state);\n * this.schedule(state - 1); // `this` references currently executing Action,\n * // which we reschedule with new state\n * console.log('after', state);\n * }\n * }, 0, 3);\n *\n * // In scheduler that runs recursively, you would expect:\n * // \"before\", 3\n * // \"before\", 2\n * // \"before\", 1\n * // \"after\", 1\n * // \"after\", 2\n * // \"after\", 3\n *\n * // But with queue it logs:\n * // \"before\", 3\n * // \"after\", 3\n * // \"before\", 2\n * // \"after\", 2\n * // \"before\", 1\n * // \"after\", 1\n * ```\n */\n\nexport const queueScheduler = new QueueScheduler(QueueAction);\n\n/**\n * @deprecated Renamed to {@link queueScheduler}. Will be removed in v8.\n */\nexport const queue = queueScheduler;\n", "import { AsyncAction } from './AsyncAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\nimport { SchedulerAction } from '../types';\nimport { animationFrameProvider } from './animationFrameProvider';\nimport { TimerHandle } from './timerHandle';\n\nexport class AnimationFrameAction extends AsyncAction {\n constructor(protected scheduler: AnimationFrameScheduler, protected work: (this: SchedulerAction, state?: T) => void) {\n super(scheduler, work);\n }\n\n protected requestAsyncId(scheduler: AnimationFrameScheduler, id?: TimerHandle, delay: number = 0): TimerHandle {\n // If delay is greater than 0, request as an async action.\n if (delay !== null && delay > 0) {\n return super.requestAsyncId(scheduler, id, delay);\n }\n // Push the action to the end of the scheduler queue.\n scheduler.actions.push(this);\n // If an animation frame has already been requested, don't request another\n // one. If an animation frame hasn't been requested yet, request one. Return\n // the current animation frame request id.\n return scheduler._scheduled || (scheduler._scheduled = animationFrameProvider.requestAnimationFrame(() => scheduler.flush(undefined)));\n }\n\n protected recycleAsyncId(scheduler: AnimationFrameScheduler, id?: TimerHandle, delay: number = 0): TimerHandle | undefined {\n // If delay exists and is greater than 0, or if the delay is null (the\n // action wasn't rescheduled) but was originally scheduled as an async\n // action, then recycle as an async action.\n if (delay != null ? delay > 0 : this.delay > 0) {\n return super.recycleAsyncId(scheduler, id, delay);\n }\n // If the scheduler queue has no remaining actions with the same async id,\n // cancel the requested animation frame and set the scheduled flag to\n // undefined so the next AnimationFrameAction will request its own.\n const { actions } = scheduler;\n if (id != null && actions[actions.length - 1]?.id !== id) {\n animationFrameProvider.cancelAnimationFrame(id as number);\n scheduler._scheduled = undefined;\n }\n // Return undefined so the action knows to request a new async id if it's rescheduled.\n return undefined;\n }\n}\n", "import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\nexport class AnimationFrameScheduler extends AsyncScheduler {\n public flush(action?: AsyncAction): void {\n this._active = true;\n // The async id that effects a call to flush is stored in _scheduled.\n // Before executing an action, it's necessary to check the action's async\n // id to determine whether it's supposed to be executed in the current\n // flush.\n // Previous implementations of this method used a count to determine this,\n // but that was unsound, as actions that are unsubscribed - i.e. cancelled -\n // are removed from the actions array and that can shift actions that are\n // scheduled to be executed in a subsequent flush into positions at which\n // they are executed within the current flush.\n const flushId = this._scheduled;\n this._scheduled = undefined;\n\n const { actions } = this;\n let error: any;\n action = action || actions.shift()!;\n\n do {\n if ((error = action.execute(action.state, action.delay))) {\n break;\n }\n } while ((action = actions[0]) && action.id === flushId && actions.shift());\n\n this._active = false;\n\n if (error) {\n while ((action = actions[0]) && action.id === flushId && actions.shift()) {\n action.unsubscribe();\n }\n throw error;\n }\n }\n}\n", "import { AnimationFrameAction } from './AnimationFrameAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\n\n/**\n *\n * Animation Frame Scheduler\n *\n * Perform task when `window.requestAnimationFrame` would fire\n *\n * When `animationFrame` scheduler is used with delay, it will fall back to {@link asyncScheduler} scheduler\n * behaviour.\n *\n * Without delay, `animationFrame` scheduler can be used to create smooth browser animations.\n * It makes sure scheduled task will happen just before next browser content repaint,\n * thus performing animations as efficiently as possible.\n *\n * ## Example\n * Schedule div height animation\n * ```ts\n * // html:
\n * import { animationFrameScheduler } from 'rxjs';\n *\n * const div = document.querySelector('div');\n *\n * animationFrameScheduler.schedule(function(height) {\n * div.style.height = height + \"px\";\n *\n * this.schedule(height + 1); // `this` references currently executing Action,\n * // which we reschedule with new state\n * }, 0, 0);\n *\n * // You will see a div element growing in height\n * ```\n */\n\nexport const animationFrameScheduler = new AnimationFrameScheduler(AnimationFrameAction);\n\n/**\n * @deprecated Renamed to {@link animationFrameScheduler}. Will be removed in v8.\n */\nexport const animationFrame = animationFrameScheduler;\n", "import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\n\n/**\n * A simple Observable that emits no items to the Observer and immediately\n * emits a complete notification.\n *\n * Just emits 'complete', and nothing else.\n *\n * ![](empty.png)\n *\n * A simple Observable that only emits the complete notification. It can be used\n * for composing with other Observables, such as in a {@link mergeMap}.\n *\n * ## Examples\n *\n * Log complete notification\n *\n * ```ts\n * import { EMPTY } from 'rxjs';\n *\n * EMPTY.subscribe({\n * next: () => console.log('Next'),\n * complete: () => console.log('Complete!')\n * });\n *\n * // Outputs\n * // Complete!\n * ```\n *\n * Emit the number 7, then complete\n *\n * ```ts\n * import { EMPTY, startWith } from 'rxjs';\n *\n * const result = EMPTY.pipe(startWith(7));\n * result.subscribe(x => console.log(x));\n *\n * // Outputs\n * // 7\n * ```\n *\n * Map and flatten only odd numbers to the sequence `'a'`, `'b'`, `'c'`\n *\n * ```ts\n * import { interval, mergeMap, of, EMPTY } from 'rxjs';\n *\n * const interval$ = interval(1000);\n * const result = interval$.pipe(\n * mergeMap(x => x % 2 === 1 ? of('a', 'b', 'c') : EMPTY),\n * );\n * result.subscribe(x => console.log(x));\n *\n * // Results in the following to the console:\n * // x is equal to the count on the interval, e.g. (0, 1, 2, 3, ...)\n * // x will occur every 1000ms\n * // if x % 2 is equal to 1, print a, b, c (each on its own)\n * // if x % 2 is not equal to 1, nothing will be output\n * ```\n *\n * @see {@link Observable}\n * @see {@link NEVER}\n * @see {@link of}\n * @see {@link throwError}\n */\nexport const EMPTY = new Observable((subscriber) => subscriber.complete());\n\n/**\n * @param scheduler A {@link SchedulerLike} to use for scheduling\n * the emission of the complete notification.\n * @deprecated Replaced with the {@link EMPTY} constant or {@link scheduled} (e.g. `scheduled([], scheduler)`). Will be removed in v8.\n */\nexport function empty(scheduler?: SchedulerLike) {\n return scheduler ? emptyScheduled(scheduler) : EMPTY;\n}\n\nfunction emptyScheduled(scheduler: SchedulerLike) {\n return new Observable((subscriber) => scheduler.schedule(() => subscriber.complete()));\n}\n", "import { SchedulerLike } from '../types';\nimport { isFunction } from './isFunction';\n\nexport function isScheduler(value: any): value is SchedulerLike {\n return value && isFunction(value.schedule);\n}\n", "import { SchedulerLike } from '../types';\nimport { isFunction } from './isFunction';\nimport { isScheduler } from './isScheduler';\n\nfunction last(arr: T[]): T | undefined {\n return arr[arr.length - 1];\n}\n\nexport function popResultSelector(args: any[]): ((...args: unknown[]) => unknown) | undefined {\n return isFunction(last(args)) ? args.pop() : undefined;\n}\n\nexport function popScheduler(args: any[]): SchedulerLike | undefined {\n return isScheduler(last(args)) ? args.pop() : undefined;\n}\n\nexport function popNumber(args: any[], defaultValue: number): number {\n return typeof last(args) === 'number' ? args.pop()! : defaultValue;\n}\n", "export const isArrayLike = ((x: any): x is ArrayLike => x && typeof x.length === 'number' && typeof x !== 'function');", "import { isFunction } from \"./isFunction\";\n\n/**\n * Tests to see if the object is \"thennable\".\n * @param value the object to test\n */\nexport function isPromise(value: any): value is PromiseLike {\n return isFunction(value?.then);\n}\n", "import { InteropObservable } from '../types';\nimport { observable as Symbol_observable } from '../symbol/observable';\nimport { isFunction } from './isFunction';\n\n/** Identifies an input as being Observable (but not necessary an Rx Observable) */\nexport function isInteropObservable(input: any): input is InteropObservable {\n return isFunction(input[Symbol_observable]);\n}\n", "import { isFunction } from './isFunction';\n\nexport function isAsyncIterable(obj: any): obj is AsyncIterable {\n return Symbol.asyncIterator && isFunction(obj?.[Symbol.asyncIterator]);\n}\n", "/**\n * Creates the TypeError to throw if an invalid object is passed to `from` or `scheduled`.\n * @param input The object that was passed.\n */\nexport function createInvalidObservableTypeError(input: any) {\n // TODO: We should create error codes that can be looked up, so this can be less verbose.\n return new TypeError(\n `You provided ${\n input !== null && typeof input === 'object' ? 'an invalid object' : `'${input}'`\n } where a stream was expected. You can provide an Observable, Promise, ReadableStream, Array, AsyncIterable, or Iterable.`\n );\n}\n", "export function getSymbolIterator(): symbol {\n if (typeof Symbol !== 'function' || !Symbol.iterator) {\n return '@@iterator' as any;\n }\n\n return Symbol.iterator;\n}\n\nexport const iterator = getSymbolIterator();\n", "import { iterator as Symbol_iterator } from '../symbol/iterator';\nimport { isFunction } from './isFunction';\n\n/** Identifies an input as being an Iterable */\nexport function isIterable(input: any): input is Iterable {\n return isFunction(input?.[Symbol_iterator]);\n}\n", "import { ReadableStreamLike } from '../types';\nimport { isFunction } from './isFunction';\n\nexport async function* readableStreamLikeToAsyncGenerator(readableStream: ReadableStreamLike): AsyncGenerator {\n const reader = readableStream.getReader();\n try {\n while (true) {\n const { value, done } = await reader.read();\n if (done) {\n return;\n }\n yield value!;\n }\n } finally {\n reader.releaseLock();\n }\n}\n\nexport function isReadableStreamLike(obj: any): obj is ReadableStreamLike {\n // We don't want to use instanceof checks because they would return\n // false for instances from another Realm, like an