Browse Components - Code Extractor

function is_param_method

Checks whether an object is a method on a Parameterized object, with optional verification of parameter dependencies.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1529-1547

param parameterized introspection method-checking dependencies

function get_param_values

Extracts parameter values from a data object, including key dimensions (kdims), value dimensions (vdims), label, and optionally the group if it differs from the default.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1520-1526

metadata-extraction parameter-extraction holoviews param object-cloning

function is_ibis_expr

Checks whether a given data object is an Ibis column expression by verifying if the ibis module is loaded and if the data is an instance of ibis.expr.types.ColumnExpr.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1513-1517

type-checking ibis validation optional-dependency lazy-import

function is_cupy_array

Checks whether the provided data object is a CuPy ndarray by conditionally importing CuPy and performing an isinstance check.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1506-1510

type-checking cupy array gpu validation

function is_dask_array

Checks whether the provided data object is a Dask array by conditionally importing dask.array and performing an isinstance check.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1499-1503

type-checking dask array validation conditional-import

function is_series

Checks whether the supplied data object is a pandas Series or dask Series type, with lazy loading support for dask.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1488-1496

type-checking validation pandas dask series

function is_dataframe

Checks whether the supplied data object is a pandas DataFrame or a Dask DataFrame, with support for lazy imports of both libraries.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1477-1485

dataframe type-checking validation pandas dask

function get_spec

Extracts a specification tuple from a labeled data object, consisting of the class name, group, and label attributes.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1469-1474

metadata specification data-object identification holoviews

function iterative_select

Recursively selects subgroups from a hierarchical object structure by iterating through dimensions and applying select operations, avoiding duplication of selections.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1451-1466

hierarchical-selection recursive data-selection dimension-traversal holoviews

function group_select

Recursively groups a list of key tuples into a nested dictionary structure to optimize indexing operations by avoiding duplicate key lookups.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1433-1448

data-structures optimization indexing grouping recursion

function layer_groups

Groups elements from an ordering list into a dictionary based on a slice of each element's specification, using the first 'length' items as the grouping key.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1421-1430

grouping data-organization layer-management hierarchical-structure dictionary

function layer_sort

Computes a global topological ordering of layers from a HoloMap containing CompositeOverlay objects by analyzing layer dependencies and sorting them.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1406-1418

holoviews visualization layer-ordering topological-sort composite-overlay

function get_overlay_spec

Constructs a specification tuple for an Element within an Overlay by combining the element's type name, group, label, and key dimensions.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1397-1403

overlay specification element-identification data-structure tuple-construction

function one_to_one

Validates whether a directed graph represents a one-to-one mapping by checking if each node maps to exactly one unique edge and vice versa.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1387-1394

graph-theory validation mapping bijection one-to-one

function is_cyclic

Detects whether a directed graph contains a cycle using depth-first search with path tracking.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1369-1384

graph-algorithms cycle-detection directed-graph depth-first-search dfs

function sort_topologically

Performs stackless topological sorting on a directed acyclic graph (DAG), organizing nodes into levels based on their dependencies.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1316-1366

topological-sort graph-algorithms dependency-resolution dag directed-acyclic-graph

class ProgressIndicator

Abstract base class for progress indicators that display task completion as a percentage, providing a framework for implementing custom progress tracking mechanisms.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1297-1313

progress-tracking base-class abstract ui-component percentage

function is_int

Checks if an object is an integer type, supporting native Python integers, NumPy integer types, and optionally float types with integer values.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1280-1294

type-checking validation integer numpy dtype

function is_float

A type-checking utility function that determines whether a given object is a floating-point scalar value, supporting both Python's native float type and NumPy floating-point types.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1273-1277

type-checking validation float numpy scalar

function is_number

Determines whether an object is a number or behaves like a number, with special handling for numpy types and numeric-like classes.

File: /tf/active/vicechatdev/patches/util.py | Lines: 1262-1270

type-checking validation numeric numpy duck-typing