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Update README.md #93

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -6,6 +6,8 @@
[![License](https://img.shields.io/badge/License-GPLv3-blue)](https://github.com/barahona-research-group/PyGenStability/blob/master/LICENSE)
[![DOI](https://zenodo.org/badge/183625721.svg)](https://zenodo.org/badge/latestdoi/183625721)

[![Downloads](https://static.pepy.tech/badge/pygenstability)](https://pepy.tech/project/pygenstability)
[![Downloads](https://static.pepy.tech/badge/pygenstability/month)](https://pepy.tech/project/pygenstability)

# *PyGenStability*

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1 change: 1 addition & 0 deletions src/pygenstability/__init__.py
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"""Import main functions."""

from pygenstability.constructors import *
from pygenstability.io import load_results
from pygenstability.io import save_results
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1 change: 1 addition & 0 deletions src/pygenstability/app.py
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"""Command line interface."""

import pickle
from pathlib import Path

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1 change: 1 addition & 0 deletions src/pygenstability/constructors.py
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:math:`\boldsymbol{1}` is the vector of ones, and we denote the diagonal degree matrix by
:math:`D=\mathrm{diag}(d)`.
"""

import logging
import sys

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1 change: 1 addition & 0 deletions src/pygenstability/contrib/sankey.py
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"""Sankey diagram plots."""

import numpy as np # pragma: no cover
import plotly.graph_objects as go # pragma: no cover
from plotly.offline import plot # pragma: no cover
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1 change: 1 addition & 0 deletions src/pygenstability/io.py
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"""I/O functions."""

import pickle


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1 change: 1 addition & 0 deletions src/pygenstability/optimal_scales.py
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"""Detect optimal scales from a scale scan."""

import numpy as np
import pandas as pd
from numpy.lib.stride_tricks import as_strided
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1 change: 1 addition & 0 deletions src/pygenstability/plotting.py
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"""Plotting functions."""

import logging
import os

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1 change: 1 addition & 0 deletions src/pygenstability/pygenstability.py
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Markov Stability setting, and can be parametrised via built-in constructors, or specified by
the user via the constructor module.
"""

import itertools
import logging
import multiprocessing
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