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feat(pm4py): preparing for release 2.2.28
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‎CHANGELOG.md‎

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# Changelog of pm4py
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## pm4py 2.2.27 (2022.08.XX)
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## pm4py 2.2.28 (2022.09.02)
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### Added
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### Changed
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### Deprecated
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### Fixed
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* 1343827595d4cfd9f6b5743bb378443079ce281c
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* fixed sorting in DFG filtering
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* acea877fd9000c8e6a62424c15d4a29c33d08eba
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* fixed bug of LocallyLinearEmbedding(s) with newer version of Scipy
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* 55acf9c08d25886f384bb2e993d653af90874f3b
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* fixed construction of tangible reachability graph
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### Removed
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### Other
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---
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## pm4py 2.2.27 (2022.08.19)
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### Added
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* 58e266610e82cfcc41868313f7b9ccfd9975d49c
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### Other
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---
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## pm4py 2.2.26 (2022.08.05)
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### Added

‎docs/source/conf.py‎

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# The short X.Y version
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version = '2.2'
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# The full version, including alpha/beta/rc tags
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release = '2.2.27'
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release = '2.2.28'
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# -- General configuration ---------------------------------------------------
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‎pm4py/algo/filtering/dfg/dfg_filtering.py‎

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activities_count = deepcopy(activities_count0)
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if len(activities_count) > 1 and len(dfg) > 1:
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activities_count_sorted_list = sorted([(x, y) for x, y in activities_count.items()], key=lambda x: x[1],
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activities_count_sorted_list = sorted([(x, y) for x, y in activities_count.items()], key=lambda x: (x[1], x[0]),
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reverse=True)
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# retrieve the minimum list of activities to keep in the graph, according to the percentage
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min_set_activities_to_keep = set(
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all_edges = [(x, y) for x, y in dfg.items()] + [((start_node, x), start_activities[x]) for x in
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start_activities] + [((x, end_node), end_activities[x]) for x in
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end_activities]
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all_edges = sorted(all_edges, key=lambda x: x[1], reverse=True)
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all_edges = sorted(all_edges, key=lambda x: (x[1], x[0]), reverse=True)
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# calculate a set of edges that could be discarded and not
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non_discardable_edges = list(
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x[0] for x in all_edges[:math.ceil((len(all_edges) - 1) * percentage) + 1])
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all_edges = [(x, y) for x, y in dependency.items()] + [((start_node, x), 1.0) for x in
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start_activities] + [((x, end_node), 1.0) for x in
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end_activities]
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all_edges = sorted(all_edges, key=lambda x: x[1], reverse=True)
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all_edges = sorted(all_edges, key=lambda x: (x[1], x[0]), reverse=True)
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# calculate a set of edges that could be discarded and not
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non_discardable_edges = list(x[0] for x in all_edges if x[1] >= threshold)
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discardable_edges = list(x[0] for x in all_edges if x[1] < threshold)

‎pm4py/algo/transformation/log_to_features/util/locally_linear_embedding.py‎

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x = [trace[0][timestamp_key] for trace in log]
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data, feature_names = log_to_features.apply(log, parameters={"str_ev_attr": [activity_key], "str_evsucc_attr": [activity_key]})
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tsne = LocallyLinearEmbedding(n_components=1)
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tsne = LocallyLinearEmbedding(n_components=1, eigen_solver='dense')
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data = tsne.fit_transform(data)
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data = np.ndarray.flatten(data)
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‎pm4py/meta.py‎

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along with PM4Py. If not, see <https://www.gnu.org/licenses/>.
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'''
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__name__ = 'pm4py'
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VERSION = '2.2.27'
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VERSION = '2.2.28'
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__version__ = VERSION
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__doc__ = 'Process Mining for Python (PM4Py)'
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__author__ = 'Fraunhofer Institute for Applied Technology'

‎pm4py/objects/stochastic_petri/tangible_reachability.py‎

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"""
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if parameters is None:
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parameters = {}
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reachab_graph = construct_reachability_graph(net, im)
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reachab_graph = construct_reachability_graph(net, im, use_trans_name=True)
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tang_reach_graph = get_tangible_reachability_from_reachability(reachab_graph, stochastic_info)
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return reachab_graph, tang_reach_graph

‎safety_checks/20220819‎

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+==============================================================================+
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| |
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| /$$$$$$ /$$ |
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| /$$__ $$ | $$ |
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| /$$$$$$$ /$$$$$$ | $$ \__//$$$$$$ /$$$$$$ /$$ /$$ |
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| /$$_____/ |____ $$| $$$$ /$$__ $$|_ $$_/ | $$ | $$ |
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| | $$$$$$ /$$$$$$$| $$_/ | $$$$$$$$ | $$ | $$ | $$ |
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| \____ $$ /$$__ $$| $$ | $$_____/ | $$ /$$| $$ | $$ |
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| /$$$$$$$/| $$$$$$$| $$ | $$$$$$$ | $$$$/| $$$$$$$ |
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| |_______/ \_______/|__/ \_______/ \___/ \____ $$ |
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| /$$ | $$ |
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| | $$$$$$/ |
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| by pyup.io \______/ |
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| |
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+==============================================================================+
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| REPORT |
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| checked 45 packages, using free DB (updated once a month) |
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+==============================================================================+
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| No known security vulnerabilities found. |
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+==============================================================================+

‎safety_checks/20220901‎

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+==============================================================================+
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| |
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| /$$$$$$ /$$ |
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| /$$__ $$ | $$ |
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| /$$$$$$$ /$$$$$$ | $$ \__//$$$$$$ /$$$$$$ /$$ /$$ |
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| /$$_____/ |____ $$| $$$$ /$$__ $$|_ $$_/ | $$ | $$ |
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| | $$$$$$ /$$$$$$$| $$_/ | $$$$$$$$ | $$ | $$ | $$ |
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| \____ $$ /$$__ $$| $$ | $$_____/ | $$ /$$| $$ | $$ |
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| /$$$$$$$/| $$$$$$$| $$ | $$$$$$$ | $$$$/| $$$$$$$ |
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| |_______/ \_______/|__/ \_______/ \___/ \____ $$ |
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| /$$ | $$ |
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| | $$$$$$/ |
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| by pyup.io \______/ |
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| |
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+==============================================================================+
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| REPORT |
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| checked 45 packages, using free DB (updated once a month) |
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+==============================================================================+
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| No known security vulnerabilities found. |
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+==============================================================================+

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