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-rw-r--r--src/python/gudhi/reader_utils.pyx8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/python/gudhi/reader_utils.pyx b/src/python/gudhi/reader_utils.pyx
index d6033b86..fe1c3a2e 100644
--- a/src/python/gudhi/reader_utils.pyx
+++ b/src/python/gudhi/reader_utils.pyx
@@ -34,7 +34,7 @@ def read_lower_triangular_matrix_from_csv_file(csv_file='', separator=';'):
:type separator: char
:returns: The lower triangular matrix.
- :rtype: vector[vector[double]]
+ :rtype: List[List[float]]
"""
if csv_file:
if path.isfile(csv_file):
@@ -45,15 +45,15 @@ def read_lower_triangular_matrix_from_csv_file(csv_file='', separator=';'):
def read_persistence_intervals_grouped_by_dimension(persistence_file=''):
"""Reads a file containing persistence intervals.
Each line might contain 2, 3 or 4 values: [[field] dimension] birth death
- The return value is an `map[dim, vector[pair[birth, death]]]`
- where `dim` is an `int`, `birth` a `double`, and `death` a `double`.
+ The return value is a `dict(dim, list(tuple(birth, death)))`
+ where `dim` is an `int`, `birth` a `float`, and `death` a `float`.
Note: the function does not check that birth <= death.
:param persistence_file: A persistence file style name.
:type persistence_file: string
:returns: The persistence pairs grouped by dimension.
- :rtype: map[int, vector[pair[double, double]]]
+ :rtype: Dict[int, List[Tuple[float, float]]]
"""
if persistence_file:
if path.isfile(persistence_file):