From 46e79b1af04dba1c27a3f21071f0a6251bf67d48 Mon Sep 17 00:00:00 2001 From: Guillaume Tauzin Date: Sat, 16 May 2020 00:36:12 +0200 Subject: [PATCH] Fix doc (#36) Signed-off-by: Guillaume Tauzin --- pyflagser/flagio.py | 24 ++++++++++++------------ pyflagser/flagser.py | 12 ++++++------ 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/pyflagser/flagio.py b/pyflagser/flagio.py index 46dd1be..0daba6e 100644 --- a/pyflagser/flagio.py +++ b/pyflagser/flagio.py @@ -28,7 +28,7 @@ def load_unweighted_flag(fname, fmt='csr', dtype=np.bool): Returns ------- - adjacency_matrix : matrix of shape (n_vertices, n_vertices) and format + adjacency_matrix : matrix of shape (n_vertices, n_vertices) and format \ `fmt` Adjacency matrix of a directed/undirected unweighted graph. It is understood as a boolean matrix. Off-diagonal, ``0`` or ``False`` values @@ -44,8 +44,8 @@ def load_unweighted_flag(fname, fmt='csr', dtype=np.bool): References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ with open(fname, 'r') as f: @@ -91,7 +91,7 @@ def load_weighted_flag(fname, fmt='csr', dtype=np.float, infinity_value=None): Returns ------- - adjacency_matrix : matrix of shape (n_vertices, n_vertices) and format + adjacency_matrix : matrix of shape (n_vertices, n_vertices) and format \ `fmt` Matrix representation of a directed/undirected weighted graph. Diagonal elements are vertex weights. @@ -105,8 +105,8 @@ def load_weighted_flag(fname, fmt='csr', dtype=np.float, infinity_value=None): References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ # Warn if dtype is bool @@ -168,7 +168,7 @@ def save_unweighted_flag(fname, adjacency_matrix): fname : file, str, or pathlib.Path, required Filename of extension ``.flag``. - adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape + adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape \ (n_vertices, n_vertices), required Adjacency matrix of a directed/undirected unweighted graph. It is understood as a boolean matrix. Off-diagonal, ``0`` or ``False`` values @@ -184,8 +184,8 @@ def save_unweighted_flag(fname, adjacency_matrix): References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ # Extract vertices and edges @@ -206,7 +206,7 @@ def save_weighted_flag(fname, adjacency_matrix, max_edge_weight=None): fname : file, str, or pathlib.Path, required Filename of extension ``.flag``. - adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape + adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape \ (n_vertices, n_vertices), required Matrix representation of a directed/undirected weighted graph. Diagonal elements are vertex weights. The way zero values are handled depends on @@ -233,8 +233,8 @@ def save_weighted_flag(fname, adjacency_matrix, max_edge_weight=None): References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ # Extract vertices and edges weights diff --git a/pyflagser/flagser.py b/pyflagser/flagser.py index c2137c6..2b9808d 100644 --- a/pyflagser/flagser.py +++ b/pyflagser/flagser.py @@ -15,7 +15,7 @@ def flagser_unweighted(adjacency_matrix, min_dimension=0, max_dimension=np.inf, Parameters ---------- - adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape + adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape \ (n_vertices, n_vertices), required Adjacency matrix of a directed/undirected unweighted graph. It is understood as a boolean matrix. Off-diagonal, ``0`` or ``False`` values @@ -70,8 +70,8 @@ def flagser_unweighted(adjacency_matrix, min_dimension=0, max_dimension=np.inf, References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ # Handle default parameters @@ -115,7 +115,7 @@ def flagser_weighted(adjacency_matrix, max_edge_weight=None, min_dimension=0, Parameters ---------- - adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape + adjacency_matrix : 2d ndarray or scipy.sparse matrix of shape \ (n_vertices, n_vertices), required Matrix representation of a directed/undirected weighted graph. Diagonal elements are vertex weights. The way zero values are handled depends on @@ -202,8 +202,8 @@ def flagser_weighted(adjacency_matrix, max_edge_weight=None, min_dimension=0, References ---------- .. [1] D. Luetgehetmann, "Documentation of the C++ flagser library"; - `GitHub: `_. + `GitHub: luetge/flagser `_. """ # Handle default parameters