misc

• full name: tenpy.tools.misc

• parent module: tenpy.tools

• type: module

Exceptions

BetaWarning	Warning category that we emit in new code that still needs to be tested better.
TenpyInconsistencyError	Error class that is raised when a consistency check fails.
TenpyInconsistencyWarning	Warning category that is emitted when a consistency check fails.

Functions

add_with_None_0(a, b)	Return a + b, treating None as zero.
anynan(a)	check whether any entry of a ndarray a is 'NaN'.
argsort(a[, sort])	wrapper around np.argsort to allow sorting ascending/descending and by magnitude.
atleast_2d_pad(a[, pad_item])	Transform a into a 2D array, filling missing places with pad_item.
consistency_check(value, options, ...[, compare])	Perform a consistency check, raising an error if it is violated.
convert_memory_units(value[, unit_from, unit_to])	Convert between different memory units.
find_subclass(base_class, subclass_name)	For a given base class, recursively find the subclass with the given name.
flatten(mapping[, separator])	Obtain a flat dictionary with all key/value pairs of a nested data structure.
get_close(values, target[, default, eps])	Iterate through values and return first entry closer than eps.
get_recursive(nested_data, recursive_key[, ...])	Extract specific value from a nested data structure.
group_by_degeneracy(E, *args[, subset, cutoff])	Find groups of indices for which (energy) values are degenerate.
inverse_permutation(perm)	reverse sorting indices.
lexsort(a[, axis])	wrapper around np.lexsort: allow for trivial case a.shape[0] = 0 without sorting
list_to_dict_list(l)	Given a list l of objects, construct a lookup table.
merge_recursive(*nested_data[, conflict, path])	Merge nested dictionaries nested1 and nested2.
pad(a[, w_l, v_l, w_r, v_r, axis])	Pad an array along a given axis.
set_recursive(nested_data, recursive_key, value)	Same as get_recursive(), but set the data entry to value.
setup_logging([output_filename, filename, ...])	Configure the logging module.
to_array(a[, shape, dtype, allow_incommensurate])	Convert a to an numpy array and tile to matching dimension/shape.
to_iterable(a)	If a is a not iterable or a string, return [a], else return a.
to_iterable_of_len(a, L)	If a is a non-string iterable of length L, return a, otherwise return [a]*L.
transpose_list_list(D[, pad])	Returns a list of lists T, such that T[i][j] = D[j][i].
update_recursive(nested_data, update_data[, ...])	Wrapper around set_recursive() to allow updating multiple values at once.
zero_if_close(a[, tol])	set real and/or imaginary part to 0 if their absolute value is smaller than tol.

Module description

Miscellaneous tools, somewhat random mix yet often helpful.