From 13558e54250888ff5137e78cdca895ccd155b527 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:14:01 +0200 Subject: [PATCH 1/7] Update ema-workbench dependency to v3.0.0 - Bump ema-workbench pin from ==2.5.3 to >=3.0.0 and requires-python to >=3.12 - Replace removed Policy/Scenario with Sample in run_optimization.py - Replace ArchiveLogger/EpsilonProgress convergence API with filename=/directory= kwargs - Import EpsNSGAII directly from platypus (no longer re-exported by ema_workbench) - Update load_archives usage to handle new list[tuple[int, DataFrame]] return type - Rename RBF parameter names from spaces to underscores (Python identifier requirement) Co-Authored-By: Claude Sonnet 4.6 --- justice/util/EMA_model_wrapper.py | 10 ++-- justice/util/pareto_nash_run.py | 6 +- pyproject.toml | 4 +- run_optimization.py | 94 ++++++++++-------------------- solvers/convergence/hypervolume.py | 40 +++++-------- 5 files changed, 58 insertions(+), 96 deletions(-) diff --git a/justice/util/EMA_model_wrapper.py b/justice/util/EMA_model_wrapper.py index 40e851b..47ca15a 100644 --- a/justice/util/EMA_model_wrapper.py +++ b/justice/util/EMA_model_wrapper.py @@ -63,11 +63,11 @@ def model_wrapper_emodps(**kwargs): weights = np.zeros(weights_shape) for i in range(centers_shape[0]): - centers[i] = kwargs.pop(f"center {i}") - radii[i] = kwargs.pop(f"radii {i}") + centers[i] = kwargs.pop(f"center_{i}") + radii[i] = kwargs.pop(f"radii_{i}") for i in range(weights_shape[0]): - weights[i] = kwargs.pop(f"weights {i}") + weights[i] = kwargs.pop(f"weights_{i}") # Populating the decision variables centers_flat = centers.flatten() @@ -183,10 +183,10 @@ def _compute_inverse_range(min_value: float, max_value: float) -> float: def _extract_vector(kwargs_dict, prefix, size, macro_idx): - """Pull a flat vector of length `size` from kwargs named `{prefix} {macro_idx} {i}`.""" + """Pull a flat vector of length `size` from kwargs named `{prefix}_{macro_idx}_{i}`.""" vector = np.empty(size, dtype=float) for i in range(size): - vector[i] = kwargs_dict.pop(f"{prefix} {macro_idx} {i}") + vector[i] = kwargs_dict.pop(f"{prefix}_{macro_idx}_{i}") return vector diff --git a/justice/util/pareto_nash_run.py b/justice/util/pareto_nash_run.py index 1f3585e..293bce7 100644 --- a/justice/util/pareto_nash_run.py +++ b/justice/util/pareto_nash_run.py @@ -61,13 +61,13 @@ def build_policy_bank_from_5row_csv( row = df.iloc[a] for i in range(n_agents): centers = np.array( - [row[f"center {i} {j}"] for j in range(centers_len)], dtype=np.float64 + [row[f"center_{i}_{j}"] for j in range(centers_len)], dtype=np.float64 ) radii = np.array( - [row[f"radii {i} {j}"] for j in range(radii_len)], dtype=np.float64 + [row[f"radii_{i}_{j}"] for j in range(radii_len)], dtype=np.float64 ) weights = np.array( - [row[f"weights {i} {j}"] for j in range(weights_len)], dtype=np.float64 + [row[f"weights_{i}_{j}"] for j in range(weights_len)], dtype=np.float64 ) policy_bank[i, a, :] = np.concatenate([centers, radii, weights]) diff --git a/pyproject.toml b/pyproject.toml index a7482aa..104bd2e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,12 +5,12 @@ description = "JUSTICE is an open-source Integrated Assessment Modeling Framewor authors = [{ name = "PBiswas", email = "p.biswas@tudelft.nl" }] license = { text = "BSD-3-Clause" } readme = "README.md" -requires-python = ">=3.10, <4" +requires-python = ">=3.12, <4" dependencies = [ "fair (==2.1.3)", "h5py (==3.13.0)", "platypus-opt (==1.4.1)", - "ema-workbench (==2.5.3)", + "ema-workbench (>=3.0.0)", "scipy (>=1.10.0)", "deap (>=1.4.0)", "ipyparallel (>=8.6.1)", diff --git a/run_optimization.py b/run_optimization.py index 04e3646..9f1d5d1 100644 --- a/run_optimization.py +++ b/run_optimization.py @@ -19,7 +19,6 @@ import numpy as np from ema_workbench import ( Model, - Policy, RealParameter, ScalarOutcome, CategoricalParameter, @@ -28,14 +27,9 @@ SequentialEvaluator, MPIEvaluator, Constant, - Scenario, - perform_experiments, -) -from ema_workbench.em_framework.optimization import ( - ArchiveLogger, - EpsilonProgress, - EpsNSGAII, + Sample, ) +from platypus import EpsNSGAII from justice.util.EMA_model_wrapper import ( model_wrapper_emodps, @@ -298,12 +292,12 @@ def run_optimization_adaptive( centers_shape = n_rbfs * n_inputs weights_shape = len(data_loader.REGION_LIST) * n_rbfs - centers = [RealParameter(f"center {i}", -1.0, 1.0) for i in range(centers_shape)] + centers = [RealParameter(f"center_{i}", -1.0, 1.0) for i in range(centers_shape)] radii = [ - RealParameter(f"radii {i}", SMALL_NUMBER, 1.0) for i in range(centers_shape) + RealParameter(f"radii_{i}", SMALL_NUMBER, 1.0) for i in range(centers_shape) ] weights = [ - RealParameter(f"weights {i}", SMALL_NUMBER, 1.0) for i in range(weights_shape) + RealParameter(f"weights_{i}", SMALL_NUMBER, 1.0) for i in range(weights_shape) ] model.levers = centers + radii + weights @@ -316,7 +310,7 @@ def run_optimization_adaptive( ), ] - reference_scenario = Scenario("reference", ssp_rcp_scenario=reference_index) + reference_scenario = Sample("reference", ssp_rcp_scenario=reference_index) filename = f"{social_welfare_function.value[1]}_{nfe}_{seed}.tar.gz" timestamp = datetime.datetime.now().strftime("%Y_%m") # _%d_%H_%M_%S @@ -332,18 +326,6 @@ def run_optimization_adaptive( os.makedirs(directory_name, exist_ok=True) rank = _mpi_rank() - if rank == 0: - convergence = [ - ArchiveLogger( - directory_name, - [lever.name for lever in model.levers], - [outcome.name for outcome in model.outcomes], - base_filename=filename, - ), - EpsilonProgress(), - ] - else: - convergence = [] if optimizer == Optimizer.EpsNSGAII: algorithm_class = EpsNSGAII @@ -368,7 +350,8 @@ def run_optimization_adaptive( nfe=nfe, epsilons=epsilons, reference=reference_scenario, - convergence=convergence, + filename=filename, + directory=directory_name, population_size=population_size, algorithm=algorithm_class, ) @@ -379,7 +362,8 @@ def run_optimization_adaptive( nfe=nfe, epsilons=epsilons, reference=reference_scenario, - convergence=convergence, + filename=filename, + directory=directory_name, population_size=population_size, algorithm=algorithm_class, ) @@ -390,7 +374,8 @@ def run_optimization_adaptive( nfe=nfe, epsilons=epsilons, reference=reference_scenario, - convergence=convergence, + filename=filename, + directory=directory_name, population_size=population_size, algorithm=algorithm_class, ) @@ -524,15 +509,15 @@ def run_optimization_momadps( levers = [] for macro_idx in range(n_macro_regions): levers.extend( - RealParameter(f"center {macro_idx} {i}", -1.0, 1.0) + RealParameter(f"center_{macro_idx}_{i}", -1.0, 1.0) for i in range(centers_len) ) levers.extend( - RealParameter(f"radii {macro_idx} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"radii_{macro_idx}_{i}", SMALL_NUMBER, 1.0) for i in range(radii_len) ) levers.extend( - RealParameter(f"weights {macro_idx} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"weights_{macro_idx}_{i}", SMALL_NUMBER, 1.0) for i in range(weights_len) ) model.levers = levers @@ -570,7 +555,7 @@ def run_optimization_momadps( ), ] - reference_scenario = Scenario( + reference_scenario = Sample( "reference", ssp_rcp_scenario=reference_ssp_rcp_scenario_index ) @@ -589,15 +574,6 @@ def run_optimization_momadps( rank = _mpi_rank() lever_names = [lever.name for lever in model.levers] outcome_names = [outcome.name for outcome in model.outcomes] - if rank == 0: - convergence = [ - ArchiveLogger( - directory_name, lever_names, outcome_names, base_filename=filename - ), - EpsilonProgress(), - ] - else: - convergence = [] optimizer_map = { Optimizer.EpsNSGAII: EpsNSGAII, @@ -628,7 +604,8 @@ def run_optimization_momadps( nfe=nfe, epsilons=epsilons, reference=reference_scenario, - convergence=convergence, + filename=filename, + directory=directory_name, population_size=population_size, algorithm=algorithm_class, ) @@ -768,10 +745,10 @@ def run_single_agent_momadps( for macro_idx in range(n_macro_regions): action_row = policy_bank_df.iloc[actions[macro_idx]] for i in range(centers_len): - fixed_centers[macro_idx, i] = action_row[f"center {macro_idx} {i}"] - fixed_radii[macro_idx, i] = action_row[f"radii {macro_idx} {i}"] + fixed_centers[macro_idx, i] = action_row[f"center_{macro_idx}_{i}"] + fixed_radii[macro_idx, i] = action_row[f"radii_{macro_idx}_{i}"] for i in range(weights_len): - fixed_weights[macro_idx, i] = action_row[f"weights {macro_idx} {i}"] + fixed_weights[macro_idx, i] = action_row[f"weights_{macro_idx}_{i}"] model.constants = [ Constant("n_regions", n_regions), @@ -814,14 +791,14 @@ def run_single_agent_momadps( levers = [] for i in range(centers_len): - levers.append(RealParameter(f"center {variable_macro_index} {i}", -1.0, 1.0)) + levers.append(RealParameter(f"center_{variable_macro_index}_{i}", -1.0, 1.0)) for i in range(radii_len): levers.append( - RealParameter(f"radii {variable_macro_index} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"radii_{variable_macro_index}_{i}", SMALL_NUMBER, 1.0) ) for i in range(weights_len): levers.append( - RealParameter(f"weights {variable_macro_index} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"weights_{variable_macro_index}_{i}", SMALL_NUMBER, 1.0) ) model.levers = levers @@ -834,7 +811,7 @@ def run_single_agent_momadps( ScalarOutcome("fraction_above_threshold", kind=ScalarOutcome.MINIMIZE), ] - reference_scenario = Scenario( + reference_scenario = Sample( "reference", ssp_rcp_scenario=reference_ssp_rcp_scenario_index ) @@ -852,17 +829,9 @@ def run_single_agent_momadps( os.makedirs(directory_name, exist_ok=True) rank = _mpi_rank() + lever_names = [lever.name for lever in model.levers] outcome_names = [outcome.name for outcome in model.outcomes] - if rank == 0: - convergence = [ - ArchiveLogger( - directory_name, lever_names, outcome_names, base_filename=filename - ), - EpsilonProgress(), - ] - else: - convergence = [] set_ema_context( model=model, @@ -884,7 +853,8 @@ def run_single_agent_momadps( nfe=nfe, epsilons=epsilons, reference=reference_scenario, - convergence=convergence, + filename=filename, + directory=directory_name, population_size=population_size, algorithm=algorithm_class, ) @@ -918,7 +888,7 @@ def build_random_policy(model, seed=1234): for lever in model.levers: low, high = lever.lower_bound, lever.upper_bound policy_data[lever.name] = rng.uniform(low, high) - return Policy("random_policy", **policy_data) + return Sample("random_policy", **policy_data) def setup_model_from_config(config_path, mapping_base_path="data/input"): @@ -1015,15 +985,15 @@ def setup_model_from_config(config_path, mapping_base_path="data/input"): levers = [] for macro_idx in range(n_macro_regions): levers.extend( - RealParameter(f"center {macro_idx} {i}", -1.0, 1.0) + RealParameter(f"center_{macro_idx}_{i}", -1.0, 1.0) for i in range(centers_len) ) levers.extend( - RealParameter(f"radii {macro_idx} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"radii_{macro_idx}_{i}", SMALL_NUMBER, 1.0) for i in range(radii_len) ) levers.extend( - RealParameter(f"weights {macro_idx} {i}", SMALL_NUMBER, 1.0) + RealParameter(f"weights_{macro_idx}_{i}", SMALL_NUMBER, 1.0) for i in range(weights_len) ) model.levers = levers diff --git a/solvers/convergence/hypervolume.py b/solvers/convergence/hypervolume.py index ed421a2..0f249ab 100644 --- a/solvers/convergence/hypervolume.py +++ b/solvers/convergence/hypervolume.py @@ -1,6 +1,6 @@ from collections import defaultdict import os -from ema_workbench.em_framework.optimization import ArchiveLogger, EpsilonProgress +from ema_workbench import load_archives from sklearn.preprocessing import MinMaxScaler from deap.tools import _hypervolume import numpy as np @@ -66,35 +66,25 @@ def load_archives( raise ValueError("file_name cannot be None.") full_path = Path(data_path) / file_name - archives = ArchiveLogger.load_archives(str(full_path)) + # load_archives returns list[tuple[int, DataFrame]] in ema-workbench >= 3.0 + raw_archives = load_archives(str(full_path)) + # Convert to dict for backwards-compatible downstream usage (archives[nfe]) + archives = {nfe: df for nfe, df in raw_archives} list_of_archives = [] num_objectives = len(list_of_objectives) print(f"Loading archives for {file_name}") - for key, df in archives.items(): - # If "Unnamed: 0" exists, group by it. Otherwise, group by the index. - group_key = "Unnamed: 0" if "Unnamed: 0" in df.columns else None - - grouped = ( - df.groupby(group_key) - if group_key - else ((idx, group) for idx, group in df.groupby(df.index)) + for _nfe, df in raw_archives: + # Rename integer-indexed columns to objective names (last N columns) + generation = df.rename( + {str(i): name for i, name in enumerate(list_of_objectives)}, + axis=1, ) - - for nfe, generation in grouped: - # Rename columns from 0-based indices to objective names for only the last N columns - # It assumes that the last `num_objectives` columns correspond to objectives. - generation = generation.rename( - {str(i): name for i, name in enumerate(list_of_objectives)}, - axis=1, - ) - - # Select only the last n objective columns - generation = generation.iloc[:, -num_objectives:] - - list_of_archives.append(generation) + # Select only the last n objective columns + generation = generation.iloc[:, -num_objectives:] + list_of_archives.append(generation) print("Archives loaded") return archives, list_of_archives @@ -134,7 +124,9 @@ def load_archives_all_seeds( if filename.startswith(f"{current_swf}_{nfe}"): file_name = filename print("Matching file:", file_name) - archives = ArchiveLogger.load_archives(f"{data_path}/{file_name}") + # load_archives returns list[tuple[int, DataFrame]] in ema-workbench >= 3.0 + raw_archives = load_archives(f"{data_path}/{file_name}") + archives = {nfe: df for nfe, df in raw_archives} print("Loading archives from:", file_name) From e4b4b5b7bdc4b57a1076ced6d9441c7afa80b007 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:18:30 +0200 Subject: [PATCH 2/7] Regenerate poetry.lock for ema-workbench >=3.0.0 Co-Authored-By: Claude Sonnet 4.6 --- poetry.lock | 543 +++------------------------------------------------- 1 file changed, 29 insertions(+), 514 deletions(-) diff --git a/poetry.lock b/poetry.lock index 448ae60..e0575fd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "about-time" @@ -7,7 +7,6 @@ description = "Easily measure timing and throughput of code blocks, with beautif optional = false python-versions = ">=3.7, <4" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "about-time-4.2.1.tar.gz", hash = "sha256:6a538862d33ce67d997429d14998310e1dbfda6cb7d9bbfbf799c4709847fece"}, {file = "about_time-4.2.1-py3-none-any.whl", hash = "sha256:8bbf4c75fe13cbd3d72f49a03b02c5c7dca32169b6d49117c257e7eb3eaee341"}, @@ -20,7 +19,6 @@ description = "Abseil Python Common Libraries, see https://github.com/abseil/abs optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d"}, {file = "absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4"}, @@ -33,7 +31,6 @@ description = "A new kind of Progress Bar, with real-time throughput, ETA, and v optional = false python-versions = "<4,>=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "alive-progress-3.3.0.tar.gz", hash = "sha256:457dd2428b48dacd49854022a46448d236a48f1b7277874071c39395307e830c"}, {file = "alive_progress-3.3.0-py3-none-any.whl", hash = "sha256:63dd33bb94cde15ad9e5b666dbba8fedf71b72a4935d6fb9a92931e69402c9ff"}, @@ -50,7 +47,6 @@ description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -63,7 +59,7 @@ description = "Disable App Nap on macOS >= 10.9" optional = false python-versions = ">=3.6" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Darwin\"" +markers = "platform_system == \"Darwin\"" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, @@ -76,7 +72,6 @@ description = "Annotate AST trees with source code positions" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a"}, {file = "asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7"}, @@ -93,7 +88,6 @@ description = "Efficiently computes derivatives of NumPy code." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"}, {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"}, @@ -113,7 +107,6 @@ description = "Python Box2D" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "box2d-py-2.3.5.tar.gz", hash = "sha256:b37dc38844bcd7def48a97111d2b082e4f81cca3cece7460feb3eacda0da2207"}, {file = "box2d_py-2.3.5-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:287aa54005c0644b47bf7ad72966e4068d66e56bcf8458f5b4a653ffe42a2618"}, @@ -129,7 +122,6 @@ description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa"}, {file = "certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7"}, @@ -142,7 +134,6 @@ description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, @@ -240,7 +231,6 @@ description = "The Real First Universal Charset Detector. Open, modern and activ optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "charset_normalizer-3.4.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2e1d8ca8611099001949d1cdfaefc510cf0f212484fe7c565f735b68c78c3c95"}, {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd"}, @@ -380,7 +370,6 @@ description = "Clarabel Conic Interior Point Solver for Rust / Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "clarabel-0.11.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c39160e4222040f051f2a0598691c4f9126b4d17f5b9e7678f76c71d611e12d8"}, {file = "clarabel-0.11.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:8963687ee250d27310d139eea5a6816f9c3ae31f33691b56579ca4f0f0b64b63"}, @@ -402,7 +391,6 @@ description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -418,7 +406,6 @@ description = "Pickler class to extend the standard pickle.Pickler functionality optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"}, {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"}, @@ -431,7 +418,6 @@ description = "CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-l optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "cma-4.4.4-py3-none-any.whl", hash = "sha256:edb6d02eb2aac2d54650f16a8f0c70711ff17445957de7c9de92ff7fd4b7ef38"}, {file = "cma-4.4.4.tar.gz", hash = "sha256:632bd654b5dce04c0eaa3166679d3e4773ce7a79eab7934e7f363c341b9a8170"}, @@ -452,7 +438,7 @@ description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_system == \"Windows\" or sys_platform == \"win32\")" +markers = "platform_system == \"Windows\" or sys_platform == \"win32\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -465,7 +451,6 @@ description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus- optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"}, {file = "comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971"}, @@ -481,7 +466,6 @@ description = "Python library for calculating contours of 2D quadrilateral grids optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"}, {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"}, @@ -559,7 +543,6 @@ description = "A domain-specific language for modeling convex optimization probl optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a9938ea90898da51b1129ba9c185cd774d83fdbea3eb0099cd86d47e37ed5297"}, {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f0a4818665c3231a5a35001c41f691471b35e2231295f85ddf6044f3982f2f88"}, @@ -627,7 +610,6 @@ description = "Composable style cycles" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, @@ -644,7 +626,6 @@ description = "Distributed Evolutionary Algorithms in Python" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "deap-1.4.3-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:05be2be3a3f2922b83143c755b58e64d1795be7e35f962ad925e61f1eb498f15"}, {file = "deap-1.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b8435f8e4400da6a69fecf4ffc93ac38d5a0439982cf7132168a052ab93800e"}, @@ -679,7 +660,6 @@ description = "An implementation of the Debug Adapter Protocol for Python" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64"}, {file = "debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642"}, @@ -720,7 +700,6 @@ description = "Decorators for Humans" optional = false python-versions = ">=2.6, !=3.0.*, !=3.1.*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"}, {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"}, @@ -733,7 +712,6 @@ description = "Python @deprecated decorator to deprecate old python classes, fun optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "deprecated-1.3.1-py2.py3-none-any.whl", hash = "sha256:597bfef186b6f60181535a29fbe44865ce137a5079f295b479886c82729d5f3f"}, {file = "deprecated-1.3.1.tar.gz", hash = "sha256:b1b50e0ff0c1fddaa5708a2c6b0a6588bb09b892825ab2b214ac9ea9d92a5223"}, @@ -752,7 +730,6 @@ description = "serialize all of Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d"}, {file = "dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa"}, @@ -769,7 +746,6 @@ description = "Parse Python docstrings in reST, Google and Numpydoc format" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"}, {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"}, @@ -782,22 +758,21 @@ test = ["pytest"] [[package]] name = "ema-workbench" -version = "2.5.3" +version = "3.0.0" description = "Exploratory modelling in Python" optional = false -python-versions = ">=3.9" +python-versions = ">=3.12" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ - {file = "ema_workbench-2.5.3-py3-none-any.whl", hash = "sha256:d616621d15db74ef773fe8a8b7d2ee3b83d6c8e190f51f60e3a2d612e2f84634"}, - {file = "ema_workbench-2.5.3.tar.gz", hash = "sha256:e5ce847c3631a421cd1d3052bf6862e0ca3a0d58d2745de1ec4fb7c995abff80"}, + {file = "ema_workbench-3.0.0-py3-none-any.whl", hash = "sha256:fd6b5badda5dfc56c52d57fbde10fcd782d3e2a870e0b34cda0d34930500d692"}, + {file = "ema_workbench-3.0.0.tar.gz", hash = "sha256:3b2429ddbd9fdaeec95940a92326f58cc3cb21aa32e37042ef83718455475547"}, ] [package.dependencies] matplotlib = "*" numpy = "*" pandas = "*" -platypus-opt = "*" +platypus-opt = ">=1.3.0" salib = ">=1.4.6" scikit-learn = "*" seaborn = "*" @@ -807,7 +782,7 @@ tqdm = "*" [package.extras] all = ["ema_workbench[cov,dev,docs,graph,jupyter,parallel]"] cov = ["coverage", "coveralls", "pytest-cov"] -dev = ["ipyparallel", "jupyter_client", "pytest", "pytest-mock"] +dev = ["ipyparallel", "jupyter_client", "pytest", "pytest-mock", "ruff"] docs = ["myst", "myst-parser", "nbsphinx", "pyscaffold", "readthedocs-sphinx-search", "sphinx", "sphinx-rtd-theme"] graph = ["altair", "graphviz", "pydot"] jupyter = ["ipykernel", "ipython", "jupyter", "jupyter_client"] @@ -817,25 +792,6 @@ pysd = ["pysd"] recommended = ["ema_workbench[dev,graph,jupyter]"] simio = ["pythonnet"] -[[package]] -name = "exceptiongroup" -version = "1.3.1" -description = "Backport of PEP 654 (exception groups)" -optional = false -python-versions = ">=3.7" -groups = ["main"] -markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, - {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, -] - -[package.dependencies] -typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""} - -[package.extras] -test = ["pytest (>=6)"] - [[package]] name = "executing" version = "2.2.1" @@ -843,7 +799,6 @@ description = "Get the currently executing AST node of a frame, and other inform optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"}, {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"}, @@ -859,7 +814,6 @@ description = "Finite-amplitude Impulse Response (FaIR) simple climate model" optional = false python-versions = ">=3.8, <4" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "fair-2.1.3-py3-none-any.whl", hash = "sha256:1ae7699ba76874a33b11934eb4deb769112e7b7d3b02b17a7b9fbb4631c15c38"}, {file = "fair-2.1.3.tar.gz", hash = "sha256:16060fcd79d9abfb202054c320f3faababf4d46e633390d16c95b2a4055d7e0d"}, @@ -888,7 +842,6 @@ description = "Notifications for all Farama Foundation maintained libraries." optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"}, {file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"}, @@ -901,7 +854,6 @@ description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70"}, {file = "filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694"}, @@ -914,7 +866,6 @@ description = "A library for automatically generating command line interfaces." optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "fire-0.7.1-py3-none-any.whl", hash = "sha256:e43fd8a5033a9001e7e2973bab96070694b9f12f2e0ecf96d4683971b5ab1882"}, {file = "fire-0.7.1.tar.gz", hash = "sha256:3b208f05c736de98fb343310d090dcc4d8c78b2a89ea4f32b837c586270a9cbf"}, @@ -933,7 +884,6 @@ description = "Tools to manipulate font files" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "fonttools-4.62.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ad5cca75776cd453b1b035b530e943334957ae152a36a88a320e779d61fc980c"}, {file = "fonttools-4.62.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0b3ae47e8636156a9accff64c02c0924cbebad62854c4a6dbdc110cd5b4b341a"}, @@ -1007,7 +957,6 @@ description = "File-system specification" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, @@ -1048,7 +997,6 @@ description = "Git Object Database" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"}, {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"}, @@ -1064,7 +1012,6 @@ description = "GitPython is a Python library used to interact with Git repositor optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "gitpython-3.1.46-py3-none-any.whl", hash = "sha256:79812ed143d9d25b6d176a10bb511de0f9c67b1fa641d82097b0ab90398a2058"}, {file = "gitpython-3.1.46.tar.gz", hash = "sha256:400124c7d0ef4ea03f7310ac2fbf7151e09ff97f2a3288d64a440c584a29c37f"}, @@ -1084,7 +1031,6 @@ description = "Unicode grapheme helpers" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "graphemeu-0.7.2-py3-none-any.whl", hash = "sha256:1444520f6899fd30114fc2a39f297d86d10fa0f23bf7579f772f8bc7efaa2542"}, {file = "graphemeu-0.7.2.tar.gz", hash = "sha256:42bbe373d7c146160f286cd5f76b1a8ad29172d7333ce10705c5cc282462a4f8"}, @@ -1101,7 +1047,6 @@ description = "HTTP/2-based RPC framework" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "grpcio-1.78.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:7cc47943d524ee0096f973e1081cb8f4f17a4615f2116882a5f1416e4cfe92b5"}, {file = "grpcio-1.78.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:c3f293fdc675ccba4db5a561048cca627b5e7bd1c8a6973ffedabe7d116e22e2"}, @@ -1179,7 +1124,6 @@ description = "A standard API for reinforcement learning and a diverse set of re optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "gymnasium-0.28.1-py3-none-any.whl", hash = "sha256:7bc9a5bce1022f997d1dbc152fc91d1ac977bad9cc7794cdc25437010867cabf"}, {file = "gymnasium-0.28.1.tar.gz", hash = "sha256:4c2c745808792c8f45c6e88ad0a5504774394e0c126f6e3db555e720d3da6f24"}, @@ -1212,7 +1156,6 @@ description = "Read and write HDF5 files from Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "h5py-3.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5540daee2b236d9569c950b417f13fd112d51d78b4c43012de05774908dff3f5"}, {file = "h5py-3.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:10894c55d46df502d82a7a4ed38f9c3fdbcb93efb42e25d275193e093071fade"}, @@ -1252,7 +1195,6 @@ description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -1268,7 +1210,6 @@ description = "Read and write images and video across all major formats. Support optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "imageio-2.37.3-py3-none-any.whl", hash = "sha256:46f5bb8522cd421c0f5ae104d8268f569d856b29eb1a13b92829d1970f32c9f0"}, {file = "imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451"}, @@ -1303,7 +1244,6 @@ description = "FFMPEG wrapper for Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.whl", hash = "sha256:9d2baaf867088508d4a3458e61eeb30e945c4ad8016025545f66c4b5aaef0a61"}, {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b1ae3173414b5fc5f538a726c4e48ea97edc0d2cdc11f103afee655c463fa742"}, @@ -1321,7 +1261,6 @@ description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"}, {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"}, @@ -1334,7 +1273,6 @@ description = "IPython Kernel for Jupyter" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661"}, {file = "ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e"}, @@ -1369,7 +1307,6 @@ description = "Interactive Parallel Computing with IPython" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "ipyparallel-9.1.0-py3-none-any.whl", hash = "sha256:dff90d758b6f999e5803306cd1900e15029655b475d780989d8b2bf338730213"}, {file = "ipyparallel-9.1.0.tar.gz", hash = "sha256:ecc81a1bfd2681eb571e361839d5defcbeec583ae3ee0503bc83b066106b88cd"}, @@ -1395,46 +1332,6 @@ retroextension = ["jupyter-server", "retrolab"] serverextension = ["jupyter-server"] test = ["ipython[test]", "pytest", "pytest-asyncio", "pytest-cov", "testpath"] -[[package]] -name = "ipython" -version = "8.38.0" -description = "IPython: Productive Interactive Computing" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"}, - {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "sys_platform == \"win32\""} -decorator = "*" -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} -jedi = ">=0.16" -matplotlib-inline = "*" -pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} -prompt_toolkit = ">=3.0.41,<3.1.0" -pygments = ">=2.4.0" -stack_data = "*" -traitlets = ">=5.13.0" -typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} - -[package.extras] -all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] -black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"] -kernel = ["ipykernel"] -matplotlib = ["matplotlib"] -nbconvert = ["nbconvert"] -nbformat = ["nbformat"] -notebook = ["ipywidgets", "notebook"] -parallel = ["ipyparallel"] -qtconsole = ["qtconsole"] -test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] -test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] - [[package]] name = "ipython" version = "9.10.0" @@ -1442,7 +1339,6 @@ description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.11" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\"" files = [ {file = "ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d"}, {file = "ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77"}, @@ -1459,7 +1355,6 @@ prompt_toolkit = ">=3.0.41,<3.1.0" pygments = ">=2.11.0" stack_data = ">=0.6.0" traitlets = ">=5.13.0" -typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} [package.extras] all = ["argcomplete (>=3.0)", "ipython[doc,matplotlib,terminal,test,test-extra]"] @@ -1476,7 +1371,6 @@ description = "Defines a variety of Pygments lexers for highlighting IPython cod optional = false python-versions = ">=3.8" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\"" files = [ {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"}, {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"}, @@ -1492,7 +1386,6 @@ description = "Common backend for Jax or Numpy." optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "jax-jumpy-1.0.0.tar.gz", hash = "sha256:195fb955cc4c2b7f0b1453e3cb1fb1c414a51a407ffac7a51e69a73cb30d59ad"}, {file = "jax_jumpy-1.0.0-py3-none-any.whl", hash = "sha256:ab7e01454bba462de3c4d098e3e585c302a8f06bc36d9182ab4e7e4aa7067c5e"}, @@ -1512,7 +1405,6 @@ description = "An autocompletion tool for Python that can be used for text edito optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, @@ -1533,7 +1425,6 @@ description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1552,7 +1443,6 @@ description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -1565,7 +1455,6 @@ description = "Jupyter protocol implementation and client libraries" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a"}, {file = "jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e"}, @@ -1590,7 +1479,6 @@ description = "Jupyter core package. A base package on which Jupyter projects re optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407"}, {file = "jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508"}, @@ -1611,7 +1499,6 @@ description = "A fast implementation of the Cassowary constraint solver" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "kiwisolver-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374"}, {file = "kiwisolver-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd"}, @@ -1739,7 +1626,6 @@ description = "Python implementation of John Gruber's Markdown." optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "markdown-3.10.2-py3-none-any.whl", hash = "sha256:e91464b71ae3ee7afd3017d9f358ef0baf158fd9a298db92f1d4761133824c36"}, {file = "markdown-3.10.2.tar.gz", hash = "sha256:994d51325d25ad8aa7ce4ebaec003febcce822c3f8c911e3b17c52f7f589f950"}, @@ -1756,7 +1642,6 @@ description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1856,7 +1741,6 @@ description = "Python plotting package" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"}, {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"}, @@ -1936,7 +1820,6 @@ description = "Inline Matplotlib backend for Jupyter" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76"}, {file = "matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe"}, @@ -1955,7 +1838,6 @@ description = "A standard API for MORL and a diverse set of reference environmen optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "mo-gymnasium-1.1.0.tar.gz", hash = "sha256:feaee103e33acfacb4f2f0729f83b4905bd2d8e2fca944681395203a30acec89"}, {file = "mo_gymnasium-1.1.0-py3-none-any.whl", hash = "sha256:4cef786ce169949b2bc7b714743ed070a2aaefb9498d96aaf26128b937573b09"}, @@ -1984,7 +1866,6 @@ description = "A standard API for Multi-Objective Multi-Agent Decision making an optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "momaland-0.1.1-py3-none-any.whl", hash = "sha256:288f27fb72e2db67bc4aec9d250d5ddb2526667f52b4c825ccc4387355eb3cc9"}, {file = "momaland-0.1.1.tar.gz", hash = "sha256:ffd61796d5cfbac21125b6fe1d156b816c44d404d5d072e3accdcf7c45c18b5a"}, @@ -2014,7 +1895,6 @@ description = "Core Algorithms for Multi-Objective Optimization" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "moocore-0.2.0-cp310-abi3-macosx_10_9_universal2.whl", hash = "sha256:653449231f328d3c9e69693ec3d44e8c77f38ab7e9ef0c69dd9ded40449e980d"}, {file = "moocore-0.2.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8f091a7304532ed605acd82acd051e89af22ece8e2a27a3cee0faf9f2ea185"}, @@ -2045,7 +1925,6 @@ description = "Implementations of multi-objective reinforcement learning (MORL) optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "morl-baselines-1.0.0.tar.gz", hash = "sha256:54db64cf2fe455b289777e1164ee4a9961cdc8526e5eff0c65f0ab3983119844"}, {file = "morl_baselines-1.0.0-py3-none-any.whl", hash = "sha256:966db5e2a080c4b1314f6ea6ccfab42875519e5ef8a93898d01c401cbdc55642"}, @@ -2079,7 +1958,6 @@ description = "Video editing with Python" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"}, ] @@ -2105,7 +1983,6 @@ description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -2124,7 +2001,6 @@ description = "better multiprocessing and multithreading in Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "multiprocess-0.70.19-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:02e5c35d7d6cd2bdc89c1858867f7bde4012837411023a4696c148c1bdd7c80e"}, {file = "multiprocess-0.70.19-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:79576c02d1207ec405b00cabf2c643c36070800cca433860e14539df7818b2aa"}, @@ -2154,7 +2030,6 @@ description = "Extremely lightweight compatibility layer between dataframe libra optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "narwhals-2.18.0-py3-none-any.whl", hash = "sha256:68378155ee706ac9c5b25868ef62ecddd62947b6df7801a0a156bc0a615d2d0d"}, {file = "narwhals-2.18.0.tar.gz", hash = "sha256:1de5cee338bc17c338c6278df2c38c0dd4290499fcf70d75e0a51d5f22a6e960"}, @@ -2181,33 +2056,11 @@ description = "Patch asyncio to allow nested event loops" optional = false python-versions = ">=3.5" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, ] -[[package]] -name = "networkx" -version = "3.4.2" -description = "Python package for creating and manipulating graphs and networks" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, - {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, -] - -[package.extras] -default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"] -developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"] -doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"] -example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"] -extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] -test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] - [[package]] name = "networkx" version = "3.6" @@ -2215,7 +2068,6 @@ description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.11" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.14\"" files = [ {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"}, {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"}, @@ -2232,30 +2084,6 @@ release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0. test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"] test-extras = ["pytest-mpl", "pytest-randomly"] -[[package]] -name = "networkx" -version = "3.6.1" -description = "Python package for creating and manipulating graphs and networks" -optional = false -python-versions = "!=3.14.1,>=3.11" -groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\" and python_version < \"3.14\"" -files = [ - {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"}, - {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"}, -] - -[package.extras] -benchmarking = ["asv", "virtualenv"] -default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"] -developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"] -doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"] -example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"] -extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] -release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"] -test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"] -test-extras = ["pytest-mpl", "pytest-randomly"] - [[package]] name = "numpy" version = "1.24.3" @@ -2263,7 +2091,6 @@ description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"}, {file = "numpy-1.24.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7"}, @@ -2302,7 +2129,7 @@ description = "CUBLAS native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"}, {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"}, @@ -2315,7 +2142,7 @@ description = "CUDA profiling tools runtime libs." optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"}, {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"}, @@ -2328,7 +2155,7 @@ description = "NVRTC native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"}, {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"}, @@ -2341,7 +2168,7 @@ description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"}, {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"}, @@ -2354,7 +2181,7 @@ description = "cuDNN runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"}, {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"}, @@ -2370,7 +2197,7 @@ description = "CUFFT native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"}, {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"}, @@ -2383,7 +2210,7 @@ description = "CURAND native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"}, {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"}, @@ -2396,7 +2223,7 @@ description = "CUDA solver native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"}, {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"}, @@ -2414,7 +2241,7 @@ description = "CUSPARSE native runtime libraries" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"}, {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"}, @@ -2430,7 +2257,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"}, {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"}, @@ -2443,7 +2270,7 @@ description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9"}, {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:994a05ef08ef4b0b299829cde613a424382aff7efb08a7172c1fa616cc3af2ca"}, @@ -2457,7 +2284,7 @@ description = "NVIDIA Tools Extension" optional = false python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"}, {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"}, @@ -2470,7 +2297,6 @@ description = "OSQP: The Operator Splitting QP Solver" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "osqp-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:415096d3cf1710a2200a7e70c0c69591abef9081ce3ef8efb8fe16b14e214726"}, {file = "osqp-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b3f26a5deb848e577d3b8b03c129be141756f3675297c38c128d556ab6216fb8"}, @@ -2529,7 +2355,6 @@ description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529"}, {file = "packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4"}, @@ -2542,7 +2367,6 @@ description = "Powerful data structures for data analysis, time series, and stat optional = false python-versions = ">=3.8" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.12\"" files = [ {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"}, {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"}, @@ -2578,15 +2402,15 @@ pytz = ">=2020.1" tzdata = ">=2022.1" [package.extras] -all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] -aws = ["s3fs (>=2021.08.0)"] +all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.7.0)", "gcsfs (>=2021.7.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.8.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] +aws = ["s3fs (>=2021.8.0)"] clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"] compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"] computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"] excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"] feather = ["pyarrow (>=7.0.0)"] -fss = ["fsspec (>=2021.07.0)"] -gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"] +fss = ["fsspec (>=2021.7.0)"] +gcp = ["gcsfs (>=2021.7.0)", "pandas-gbq (>=0.15.0)"] hdf5 = ["tables (>=3.6.1)"] html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"] mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"] @@ -2600,106 +2424,6 @@ sql-other = ["SQLAlchemy (>=1.4.16)"] test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] xml = ["lxml (>=4.6.3)"] -[[package]] -name = "pandas" -version = "2.3.3" -description = "Powerful data structures for data analysis, time series, and statistics" -optional = false -python-versions = ">=3.9" -groups = ["main"] -markers = "python_version < \"3.12\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"}, - {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"}, - {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1"}, - {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838"}, - {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250"}, - {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4"}, - {file = "pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826"}, - {file = "pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523"}, - {file = "pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45"}, - {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66"}, - {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b"}, - {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791"}, - {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151"}, - {file = "pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c"}, - {file = "pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53"}, - {file = "pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35"}, - {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908"}, - {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89"}, - {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98"}, - {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084"}, - {file = "pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b"}, - {file = "pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713"}, - {file = "pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8"}, - {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d"}, - {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac"}, - {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c"}, - {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493"}, - {file = "pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee"}, - {file = "pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5"}, - {file = "pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21"}, - {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78"}, - {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110"}, - {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86"}, - {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc"}, - {file = "pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0"}, - {file = "pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593"}, - {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c"}, - {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b"}, - {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6"}, - {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3"}, - {file = "pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5"}, - {file = "pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec"}, - {file = "pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7"}, - {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450"}, - {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5"}, - {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788"}, - {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87"}, - {file = "pandas-2.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c503ba5216814e295f40711470446bc3fd00f0faea8a086cbc688808e26f92a2"}, - {file = "pandas-2.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a637c5cdfa04b6d6e2ecedcb81fc52ffb0fd78ce2ebccc9ea964df9f658de8c8"}, - {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:854d00d556406bffe66a4c0802f334c9ad5a96b4f1f868adf036a21b11ef13ff"}, - {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bf1f8a81d04ca90e32a0aceb819d34dbd378a98bf923b6398b9a3ec0bf44de29"}, - {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:23ebd657a4d38268c7dfbdf089fbc31ea709d82e4923c5ffd4fbd5747133ce73"}, - {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5554c929ccc317d41a5e3d1234f3be588248e61f08a74dd17c9eabb535777dc9"}, - {file = "pandas-2.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:d3e28b3e83862ccf4d85ff19cf8c20b2ae7e503881711ff2d534dc8f761131aa"}, - {file = "pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b"}, -] - -[package.dependencies] -numpy = [ - {version = ">=1.22.4", markers = "python_version < \"3.11\""}, - {version = ">=1.23.2", markers = "python_version == \"3.11\""}, -] -python-dateutil = ">=2.8.2" -pytz = ">=2020.1" -tzdata = ">=2022.7" - -[package.extras] -all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] -aws = ["s3fs (>=2022.11.0)"] -clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] -compression = ["zstandard (>=0.19.0)"] -computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] -consortium-standard = ["dataframe-api-compat (>=0.1.7)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] -feather = ["pyarrow (>=10.0.1)"] -fss = ["fsspec (>=2022.11.0)"] -gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] -hdf5 = ["tables (>=3.8.0)"] -html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] -mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] -parquet = ["pyarrow (>=10.0.1)"] -performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] -plot = ["matplotlib (>=3.6.3)"] -postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] -pyarrow = ["pyarrow (>=10.0.1)"] -spss = ["pyreadstat (>=1.2.0)"] -sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] -test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.9.2)"] - [[package]] name = "parso" version = "0.8.6" @@ -2707,7 +2431,6 @@ description = "A Python Parser" optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "parso-0.8.6-py2.py3-none-any.whl", hash = "sha256:2c549f800b70a5c4952197248825584cb00f033b29c692671d3bf08bf380baff"}, {file = "parso-0.8.6.tar.gz", hash = "sha256:2b9a0332696df97d454fa67b81618fd69c35a7b90327cbe6ba5c92d2c68a7bfd"}, @@ -2724,7 +2447,6 @@ description = "A Python package for describing statistical models and for buildi optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "patsy-1.0.2-py2.py3-none-any.whl", hash = "sha256:37bfddbc58fcf0362febb5f54f10743f8b21dd2aa73dec7e7ef59d1b02ae668a"}, {file = "patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0"}, @@ -2743,7 +2465,6 @@ description = "Gymnasium for multi-agent reinforcement learning." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pettingzoo-1.24.3-py3-none-any.whl", hash = "sha256:23ed90517d2e8a7098bdaf5e31234b3a7f7b73ca578d70d1ca7b9d0cb0e37982"}, {file = "pettingzoo-1.24.3.tar.gz", hash = "sha256:91f9094f18e06fb74b98f4099cd22e8ae4396125e51719d50b30c9f1c7ab07e6"}, @@ -2790,7 +2511,6 @@ description = "Python Imaging Library (fork)" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0"}, {file = "pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713"}, @@ -2900,7 +2620,6 @@ description = "A small Python package for determining appropriate platform-speci optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "platformdirs-4.9.4-py3-none-any.whl", hash = "sha256:68a9a4619a666ea6439f2ff250c12a853cd1cbd5158d258bd824a7df6be2f868"}, {file = "platformdirs-4.9.4.tar.gz", hash = "sha256:1ec356301b7dc906d83f371c8f487070e99d3ccf9e501686456394622a01a934"}, @@ -2913,7 +2632,6 @@ description = "Multiobjective optimization in Python" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "Platypus_Opt-1.4.1-py3-none-any.whl", hash = "sha256:9c22883a3ffd91bd3a6dfb75412fc6b80368850fdb9b24f9e301a8cbf160fdda"}, {file = "platypus_opt-1.4.1.tar.gz", hash = "sha256:b341790be67354c2c964bb3431b9acc8a1a147aca9d9464a43720dc58b3895e8"}, @@ -2931,7 +2649,6 @@ description = "An open-source interactive data visualization library for Python" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "plotly-6.6.0-py3-none-any.whl", hash = "sha256:8d6daf0f87412e0c0bfe72e809d615217ab57cc715899a1e5145135a7800d1d0"}, {file = "plotly-6.6.0.tar.gz", hash = "sha256:b897f15f3b02028d69f755f236be890ba950d0a42d7dfc619b44e2d8cea8748c"}, @@ -2956,7 +2673,6 @@ description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"}, {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"}, @@ -2973,7 +2689,6 @@ description = "A friend to fetch your data files" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pooch-1.9.0-py3-none-any.whl", hash = "sha256:f265597baa9f760d25ceb29d0beb8186c243d6607b0f60b83ecf14078dbc703b"}, {file = "pooch-1.9.0.tar.gz", hash = "sha256:de46729579b9857ffd3e741987a2f6d5e0e03219892c167c6578c0091fb511ed"}, @@ -2997,7 +2712,6 @@ description = "Log and progress bar manager for console, notebooks, web..." optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "proglog-0.1.12-py3-none-any.whl", hash = "sha256:ccaafce51e80a81c65dc907a460c07ccb8ec1f78dc660cfd8f9ec3a22f01b84c"}, {file = "proglog-0.1.12.tar.gz", hash = "sha256:361ee074721c277b89b75c061336cb8c5f287c92b043efa562ccf7866cda931c"}, @@ -3013,7 +2727,6 @@ description = "Library for building powerful interactive command lines in Python optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955"}, {file = "prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855"}, @@ -3029,7 +2742,6 @@ description = "" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "protobuf-6.33.6-cp310-abi3-win32.whl", hash = "sha256:7d29d9b65f8afef196f8334e80d6bc1d5d4adedb449971fefd3723824e6e77d3"}, {file = "protobuf-6.33.6-cp310-abi3-win_amd64.whl", hash = "sha256:0cd27b587afca21b7cfa59a74dcbd48a50f0a6400cfb59391340ad729d91d326"}, @@ -3050,7 +2762,6 @@ description = "Cross-platform lib for process and system monitoring." optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b"}, {file = "psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea"}, @@ -3099,7 +2810,6 @@ description = "Safely evaluate AST nodes without side effects" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, @@ -3115,7 +2825,6 @@ description = "ISO country, subdivision, language, currency and script definitio optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pycountry-26.2.16-py3-none-any.whl", hash = "sha256:115c4baf7cceaa30f59a4694d79483c9167dbce7a9de4d3d571c5f3ea77c305a"}, {file = "pycountry-26.2.16.tar.gz", hash = "sha256:5b6027d453fcd6060112b951dd010f01f168b51b4bf8a1f1fc8c95c8d94a0801"}, @@ -3128,7 +2837,7 @@ description = "C parser in Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and implementation_name != \"PyPy\"" +markers = "implementation_name != \"PyPy\"" files = [ {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"}, {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"}, @@ -3141,7 +2850,6 @@ description = "Data validation using Python type hints" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d"}, {file = "pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49"}, @@ -3164,7 +2872,6 @@ description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146"}, {file = "pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2"}, @@ -3299,7 +3006,6 @@ description = "Python Game Development" optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pygame-2.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3e9535cf1af0c6ca38d94e0b492fc41057d7bf05e9bd64d3ed3e216d336d6d11"}, {file = "pygame-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:23bd3c3a6d4e8acddee2297d609dbc5953d6ba99b0f0cc5ccc2f567889db3785"}, @@ -3378,7 +3084,6 @@ description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, @@ -3394,7 +3099,6 @@ description = "Multi-Objective Optimization in Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pymoo-0.6.1.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f2d48fa7f8f8ea314405ad49a6b7f3dcf8f12c2024e319e2d47ede0937f8b39b"}, {file = "pymoo-0.6.1.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c8cfd085b74b3f673378109d8d0734d0cab460e3e78c09f691120ac0c2698aad"}, @@ -3457,7 +3161,6 @@ description = "Pymunk is a easy-to-use pythonic 2d physics library" optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pymunk-6.2.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:aeb31794b832b080a76e0e365a72d2da4104269c3a3f13e1ca9ef9d66fb5f9b4"}, {file = "pymunk-6.2.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:1f08bec9e7b62fa321c6acd1cc7a52a4016943effa26fb442e8beb02fbc854a6"}, @@ -3507,7 +3210,6 @@ description = "Standard OpenGL bindings for Python" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "PyOpenGL-3.1.6-py2-none-any.whl", hash = "sha256:57c597d989178e1413002df6b923619f6d29807501dece1c60cc6f12c0c8e8a7"}, {file = "PyOpenGL-3.1.6-py3-none-any.whl", hash = "sha256:a7139bc3e15d656feae1f7e3ef68c799941ed43fadc78177a23db7e946c20738"}, @@ -3521,7 +3223,6 @@ description = "Cython-coded accelerators for PyOpenGL" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pyopengl_accelerate-3.1.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:799b7ff0b2beaac92ec89e342147ae5f6b4e30acc60d124a48dec3fb2ee6c365"}, {file = "pyopengl_accelerate-3.1.10-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f1a7f31090b029ca9a4623ebe9bffa5497a579ae1f05aff2aa3c362ca1eb0"}, @@ -3573,7 +3274,6 @@ description = "pyparsing - Classes and methods to define and execute parsing gra optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, @@ -3589,7 +3289,6 @@ description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b"}, {file = "pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11"}, @@ -3597,12 +3296,10 @@ files = [ [package.dependencies] colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""} -exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""} iniconfig = ">=1.0.1" packaging = ">=22" pluggy = ">=1.5,<2" pygments = ">=2.7.2" -tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"] @@ -3614,7 +3311,6 @@ description = "Open API to/fro routes, models, and tests. Convert between docstr optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "python-cdd-0.0.98.tar.gz", hash = "sha256:9e8bfad1ce81e23aa80a466ec231a3029d509bd5f5ac0730478e242f7d2c8305"}, {file = "python_cdd-0.0.98-py3-none-any.whl", hash = "sha256:96173ae49ded6fe783e218b9bf61df42f4c3fc54ceb6422062e4e466a9c74c1d"}, @@ -3630,7 +3326,6 @@ description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, @@ -3646,7 +3341,6 @@ description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, @@ -3659,7 +3353,6 @@ description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -3743,7 +3436,6 @@ description = "Python bindings for 0MQ" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"}, {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"}, @@ -3849,7 +3541,6 @@ description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -3872,7 +3563,6 @@ description = "Tools for global sensitivity analysis. Contains Sobol', Morris, F optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "salib-1.5.1-py3-none-any.whl", hash = "sha256:a978b619c5a93eb14dd8c527f12e22d354b02f1f7143aba3cb84c1c7bc1382e5"}, {file = "salib-1.5.1.tar.gz", hash = "sha256:e4a9c319b8dd02995a8dc983f57c452cb7e5b6dbd43e7b7856c90cb6a332bb5f"}, @@ -3891,63 +3581,6 @@ distributed = ["pathos (>=0.3.2)"] doc = ["myst-parser", "numpydoc", "pydata-sphinx-theme (>=0.15.2)", "sphinx"] test = ["pathos (>=0.3.2)", "pytest", "pytest-cov"] -[[package]] -name = "scikit-learn" -version = "1.7.2" -description = "A set of python modules for machine learning and data mining" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"}, - {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"}, - {file = "scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8"}, - {file = "scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18"}, - {file = "scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5"}, - {file = "scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e"}, - {file = "scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1"}, - {file = "scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d"}, - {file = "scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1"}, - {file = "scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1"}, - {file = "scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96"}, - {file = "scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476"}, - {file = "scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b"}, - {file = "scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44"}, - {file = "scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290"}, - {file = "scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7"}, - {file = "scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe"}, - {file = "scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f"}, - {file = "scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0"}, - {file = "scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973"}, - {file = "scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33"}, - {file = "scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615"}, - {file = "scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106"}, - {file = "scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61"}, - {file = "scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8"}, - {file = "scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda"}, -] - -[package.dependencies] -joblib = ">=1.2.0" -numpy = ">=1.22.0" -scipy = ">=1.8.0" -threadpoolctl = ">=3.1.0" - -[package.extras] -benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"] -build = ["cython (>=3.0.10)", "meson-python (>=0.17.1)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"] -docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"] -examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"] -install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"] -maintenance = ["conda-lock (==3.0.1)"] -tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"] - [[package]] name = "scikit-learn" version = "1.8.0" @@ -3955,7 +3588,6 @@ description = "A set of python modules for machine learning and data mining" optional = false python-versions = ">=3.11" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\"" files = [ {file = "scikit_learn-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:146b4d36f800c013d267b29168813f7a03a43ecd2895d04861f1240b564421da"}, {file = "scikit_learn-1.8.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f984ca4b14914e6b4094c5d52a32ea16b49832c03bd17a110f004db3c223e8e1"}, @@ -4018,7 +3650,6 @@ description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, @@ -4083,7 +3714,6 @@ description = "Splitting conic solver" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "scs-3.2.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:928b2fd09d1f4446bd440037d8ca4fb70eb55e411c3259461646ba909ed098f7"}, {file = "scs-3.2.11-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ace8221013596173de6bdf199d4415f6532b38372e7b68ff22f688b7de2a72bf"}, @@ -4134,7 +3764,6 @@ description = "Statistical data visualization" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, @@ -4157,7 +3786,6 @@ description = "Python client for Sentry (https://sentry.io)" optional = false python-versions = ">=3.6" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "sentry_sdk-2.55.0-py2.py3-none-any.whl", hash = "sha256:97026981cb15699394474a196b88503a393cbc58d182ece0d3abe12b9bd978d4"}, {file = "sentry_sdk-2.55.0.tar.gz", hash = "sha256:3774c4d8820720ca4101548131b9c162f4c9426eb7f4d24aca453012a7470f69"}, @@ -4221,7 +3849,6 @@ description = "A Python module to customize the process title" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "setproctitle-1.3.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cf555b6299f10a6eb44e4f96d2f5a3884c70ce25dc5c8796aaa2f7b40e72cb1b"}, {file = "setproctitle-1.3.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:690b4776f9c15aaf1023bb07d7c5b797681a17af98a4a69e76a1d504e41108b7"}, @@ -4332,7 +3959,6 @@ description = "Most extensible Python build backend with support for C/C++ exten optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb"}, {file = "setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9"}, @@ -4354,7 +3980,6 @@ description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -4367,7 +3992,6 @@ description = "A pure Python implementation of a sliding window memory map manag optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "smmap-5.0.3-py3-none-any.whl", hash = "sha256:c106e05d5a61449cf6ba9a1e650227ecfb141590d2a98412103ff35d89fc7b2f"}, {file = "smmap-5.0.3.tar.gz", hash = "sha256:4d9debb8b99007ae47165abc08670bd74cb74b5227dda7f643eccc4e9eb5642c"}, @@ -4380,7 +4004,6 @@ description = "Extract data from python stack frames and tracebacks for informat optional = false python-versions = "*" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, @@ -4401,7 +4024,6 @@ description = "Statistical computations and models for Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0"}, {file = "statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9"}, @@ -4460,7 +4082,6 @@ description = "Wrappers for Gymnasium and PettingZoo" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "SuperSuit-3.9.3-py3-none-any.whl", hash = "sha256:f30ab6fd9fe720ea7fa73d45a96935b6321c4ea1aa45d7997684c09f39aa10de"}, {file = "supersuit-3.9.3.tar.gz", hash = "sha256:10f5d0ed208ddb92fba767a7889ada9f46894519077527d6af799a7767a13159"}, @@ -4481,7 +4102,6 @@ description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -4500,7 +4120,6 @@ description = "TensorBoard lets you watch Tensors Flow" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tensorboard-2.19.0-py3-none-any.whl", hash = "sha256:5e71b98663a641a7ce8a6e70b0be8e1a4c0c45d48760b076383ac4755c35b9a0"}, ] @@ -4524,7 +4143,6 @@ description = "Fast data loading for TensorBoard" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"}, {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"}, @@ -4538,7 +4156,6 @@ description = "ANSI color formatting for output in terminal" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5"}, {file = "termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5"}, @@ -4554,7 +4171,6 @@ description = "threadpoolctl" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, @@ -4567,7 +4183,6 @@ description = "A tiny, simple image scaler." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tinyscaler-1.2.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b69a0414d626ba5d075b93546f37ece0c10f690f7d3ce3f162c2316ac1667511"}, {file = "tinyscaler-1.2.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb30db6782df95c34b294266876e71fd3d32dd3d33bf4c8ec72d07f570ae7bca"}, @@ -4590,64 +4205,6 @@ files = [ [package.dependencies] numpy = ">=1.21.0" -[[package]] -name = "tomli" -version = "2.4.0" -description = "A lil' TOML parser" -optional = false -python-versions = ">=3.8" -groups = ["main"] -markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"}, - {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"}, - {file = "tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95"}, - {file = "tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76"}, - {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d"}, - {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576"}, - {file = "tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a"}, - {file = "tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa"}, - {file = "tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614"}, - {file = "tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1"}, - {file = "tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8"}, - {file = "tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a"}, - {file = "tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1"}, - {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b"}, - {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51"}, - {file = "tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729"}, - {file = "tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da"}, - {file = "tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3"}, - {file = "tomli-2.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0"}, - {file = "tomli-2.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e"}, - {file = "tomli-2.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4"}, - {file = "tomli-2.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e"}, - {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c"}, - {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f"}, - {file = "tomli-2.4.0-cp313-cp313-win32.whl", hash = "sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86"}, - {file = "tomli-2.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87"}, - {file = "tomli-2.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132"}, - {file = "tomli-2.4.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6"}, - {file = "tomli-2.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc"}, - {file = "tomli-2.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66"}, - {file = "tomli-2.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d"}, - {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702"}, - {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8"}, - {file = "tomli-2.4.0-cp314-cp314-win32.whl", hash = "sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776"}, - {file = "tomli-2.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475"}, - {file = "tomli-2.4.0-cp314-cp314-win_arm64.whl", hash = "sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2"}, - {file = "tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9"}, - {file = "tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0"}, - {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df"}, - {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d"}, - {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f"}, - {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b"}, - {file = "tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087"}, - {file = "tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd"}, - {file = "tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4"}, - {file = "tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a"}, - {file = "tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c"}, -] - [[package]] name = "torch" version = "2.4.1" @@ -4655,7 +4212,6 @@ description = "Tensors and Dynamic neural networks in Python with strong GPU acc optional = false python-versions = ">=3.8.0" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971"}, {file = "torch-2.4.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3"}, @@ -4711,7 +4267,6 @@ description = "Tornado is a Python web framework and asynchronous networking lib optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa"}, {file = "tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521"}, @@ -4732,7 +4287,6 @@ description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, @@ -4755,7 +4309,6 @@ description = "Traitlets Python configuration system" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, @@ -4772,7 +4325,7 @@ description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "*" groups = ["main"] -markers = "python_version < \"3.13\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version == \"3.12\"" files = [ {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"}, {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"}, @@ -4796,7 +4349,6 @@ description = "Run-time type checker for Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "typeguard-4.5.1-py3-none-any.whl", hash = "sha256:44d2bf329d49a244110a090b55f5f91aa82d9a9834ebfd30bcc73651e4a8cc40"}, {file = "typeguard-4.5.1.tar.gz", hash = "sha256:f6f8ecbbc819c9bc749983cc67c02391e16a9b43b8b27f15dc70ed7c4a007274"}, @@ -4812,7 +4364,6 @@ description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -4825,7 +4376,6 @@ description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -4841,7 +4391,6 @@ description = "CLI interfaces & config objects, from types" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tyro-1.0.10-py3-none-any.whl", hash = "sha256:8de87a3a40c8a91f10831f8f0638cd0eed00f0e4de9cd3d561e967f407477210"}, {file = "tyro-1.0.10.tar.gz", hash = "sha256:2822eacac963a4922bf7eafe3b156a1f0f7fe8e34148202987581224f25565c2"}, @@ -4863,7 +4412,6 @@ description = "Provider of IANA time zone data" optional = false python-versions = ">=2" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -4876,7 +4424,6 @@ description = "HTTP library with thread-safe connection pooling, file post, and optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, @@ -4895,7 +4442,6 @@ description = "A CLI and library for interacting with the Weights & Biases API." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "wandb-0.20.1-py3-none-any.whl", hash = "sha256:e6395cabf074247042be1cf0dc6ab0b06aa4c9538c2e1fdc5b507a690ce0cf17"}, {file = "wandb-0.20.1-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:2475a48c693adf677d40da9e1c8ceeaf86d745ffc3b7e3535731279d02f9e845"}, @@ -4944,7 +4490,6 @@ description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad"}, {file = "wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159"}, @@ -4957,7 +4502,6 @@ description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "werkzeug-3.1.6-py3-none-any.whl", hash = "sha256:7ddf3357bb9564e407607f988f683d72038551200c704012bb9a4c523d42f131"}, {file = "werkzeug-3.1.6.tar.gz", hash = "sha256:210c6bede5a420a913956b4791a7f4d6843a43b6fcee4dfa08a65e93007d0d25"}, @@ -4976,7 +4520,6 @@ description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.9" groups = ["main"] -markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" files = [ {file = "wrapt-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b7a86d99a14f76facb269dc148590c01aaf47584071809a70da30555228158c"}, {file = "wrapt-2.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a819e39017f95bf7aede768f75915635aa8f671f2993c036991b8d3bfe8dbb6f"}, @@ -5080,7 +4623,6 @@ description = "N-D labeled arrays and datasets in Python" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.12\"" files = [ {file = "xarray-2024.7.0-py3-none-any.whl", hash = "sha256:1b0fd51ec408474aa1f4a355d75c00cc1c02bd425d97b2c2e551fd21810e7f64"}, {file = "xarray-2024.7.0.tar.gz", hash = "sha256:4cae512d121a8522d41e66d942fb06c526bc1fd32c2c181d5fe62fe65b671638"}, @@ -5099,34 +4641,7 @@ io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_versio parallel = ["dask[complete]"] viz = ["matplotlib", "nc-time-axis", "seaborn"] -[[package]] -name = "xarray" -version = "2025.6.1" -description = "N-D labeled arrays and datasets in Python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version < \"3.12\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" -files = [ - {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"}, - {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"}, -] - -[package.dependencies] -numpy = ">=1.24" -packaging = ">=23.2" -pandas = ">=2.1" - -[package.extras] -accel = ["bottleneck", "flox", "numba (>=0.54)", "numbagg", "opt_einsum", "scipy"] -complete = ["xarray[accel,etc,io,parallel,viz]"] -etc = ["sparse"] -io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_version < \"3.10\"", "scipy", "zarr"] -parallel = ["dask[complete]"] -types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"] -viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"] - [metadata] lock-version = "2.1" -python-versions = ">=3.10, <4" -content-hash = "e3e3ca4ca8a7e9de638d766e2b84dadce5008b89e88f996c95fdebc8dded6bcc" +python-versions = ">=3.12, <4" +content-hash = "68f2b9ff5932d105638fee16423a4b2c42b2ec8b8c869b30910ffe25c6a72f43" From bcadd57bf38e5454c5299176e540e58c6f2d1caf Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:27:38 +0200 Subject: [PATCH 3/7] Update CI to Python 3.12 and install SDL2 for pygame ema-workbench >=3.0.0 requires Python >=3.12. pygame==2.3.0 has no pre-built wheel for Python 3.12 on Linux so SDL2 system libs are needed for the source build. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/pytest.yml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index 4fa8562..4fed9ef 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -18,7 +18,10 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: "3.10" + python-version: "3.12" + + - name: Install SDL2 (required by pygame) + run: sudo apt-get install -y libsdl2-dev libsdl2-image-dev libsdl2-mixer-dev libsdl2-ttf-dev - name: Install Poetry run: | From 8337f5348892417919fee0a9512c17f42f3e32e7 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:29:07 +0200 Subject: [PATCH 4/7] Fix CI: run apt-get update before installing SDL2 Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/pytest.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index 4fed9ef..aa57b74 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -21,7 +21,7 @@ jobs: python-version: "3.12" - name: Install SDL2 (required by pygame) - run: sudo apt-get install -y libsdl2-dev libsdl2-image-dev libsdl2-mixer-dev libsdl2-ttf-dev + run: sudo apt-get update && sudo apt-get install -y libsdl2-dev libsdl2-image-dev libsdl2-mixer-dev libsdl2-ttf-dev - name: Install Poetry run: | From 7e927ccd7304d742b2a579643cf9c1ff7d018c09 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:42:08 +0200 Subject: [PATCH 5/7] Move RL packages to optional extras, fix Python 3.12 CI compatibility momaland==0.1.1 requires pettingzoo[butterfly,sisl] which pins pygame==2.3.0. pygame==2.3.0 has no Python 3.12 wheels and cannot be built from source on Python 3.12 (distutils.ccompiler.spawn removed). The CI tests only exercise core JUSTICE IAM code, not the RL stack, so move RL packages to [project.optional-dependencies] to keep them installable via `pip install justice[rl]` without blocking the base install. Also update CI to Python 3.12 to match ema-workbench >=3.0.0 requirement. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/pytest.yml | 3 - poetry.lock | 207 ++++++++++++++++++++++------------- pyproject.toml | 8 +- 3 files changed, 136 insertions(+), 82 deletions(-) diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index aa57b74..72bf671 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -20,9 +20,6 @@ jobs: with: python-version: "3.12" - - name: Install SDL2 (required by pygame) - run: sudo apt-get update && sudo apt-get install -y libsdl2-dev libsdl2-image-dev libsdl2-mixer-dev libsdl2-ttf-dev - - name: Install Poetry run: | python -m pip install --upgrade pip diff --git a/poetry.lock b/poetry.lock index e0575fd..d8f5053 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4,9 +4,10 @@ name = "about-time" version = "4.2.1" description = "Easily measure timing and throughput of code blocks, with beautiful human friendly representations." -optional = false +optional = true python-versions = ">=3.7, <4" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "about-time-4.2.1.tar.gz", hash = "sha256:6a538862d33ce67d997429d14998310e1dbfda6cb7d9bbfbf799c4709847fece"}, {file = "about_time-4.2.1-py3-none-any.whl", hash = "sha256:8bbf4c75fe13cbd3d72f49a03b02c5c7dca32169b6d49117c257e7eb3eaee341"}, @@ -16,9 +17,10 @@ files = [ name = "absl-py" version = "2.4.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d"}, {file = "absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4"}, @@ -28,9 +30,10 @@ files = [ name = "alive-progress" version = "3.3.0" description = "A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!" -optional = false +optional = true python-versions = "<4,>=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "alive-progress-3.3.0.tar.gz", hash = "sha256:457dd2428b48dacd49854022a46448d236a48f1b7277874071c39395307e830c"}, {file = "alive_progress-3.3.0-py3-none-any.whl", hash = "sha256:63dd33bb94cde15ad9e5b666dbba8fedf71b72a4935d6fb9a92931e69402c9ff"}, @@ -85,9 +88,10 @@ test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"] name = "autograd" version = "1.8.0" description = "Efficiently computes derivatives of NumPy code." -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"}, {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"}, @@ -104,9 +108,10 @@ test = ["pytest", "pytest-cov", "pytest-xdist"] name = "box2d-py" version = "2.3.5" description = "Python Box2D" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "box2d-py-2.3.5.tar.gz", hash = "sha256:b37dc38844bcd7def48a97111d2b082e4f81cca3cece7460feb3eacda0da2207"}, {file = "box2d_py-2.3.5-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:287aa54005c0644b47bf7ad72966e4068d66e56bcf8458f5b4a653ffe42a2618"}, @@ -134,6 +139,7 @@ description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.9" groups = ["main"] +markers = "implementation_name == \"pypy\" or extra == \"rl\"" files = [ {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, @@ -367,9 +373,10 @@ files = [ name = "clarabel" version = "0.11.1" description = "Clarabel Conic Interior Point Solver for Rust / Python" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "clarabel-0.11.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c39160e4222040f051f2a0598691c4f9126b4d17f5b9e7678f76c71d611e12d8"}, {file = "clarabel-0.11.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:8963687ee250d27310d139eea5a6816f9c3ae31f33691b56579ca4f0f0b64b63"}, @@ -403,9 +410,10 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} name = "cloudpickle" version = "3.1.2" description = "Pickler class to extend the standard pickle.Pickler functionality" -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"}, {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"}, @@ -415,9 +423,10 @@ files = [ name = "cma" version = "4.4.4" description = "CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "cma-4.4.4-py3-none-any.whl", hash = "sha256:edb6d02eb2aac2d54650f16a8f0c70711ff17445957de7c9de92ff7fd4b7ef38"}, {file = "cma-4.4.4.tar.gz", hash = "sha256:632bd654b5dce04c0eaa3166679d3e4773ce7a79eab7934e7f363c341b9a8170"}, @@ -540,9 +549,10 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist" name = "cvxpy" version = "1.7.5" description = "A domain-specific language for modeling convex optimization problems in Python." -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a9938ea90898da51b1129ba9c185cd774d83fdbea3eb0099cd86d47e37ed5297"}, {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f0a4818665c3231a5a35001c41f691471b35e2231295f85ddf6044f3982f2f88"}, @@ -709,9 +719,10 @@ files = [ name = "deprecated" version = "1.3.1" description = "Python @deprecated decorator to deprecate old python classes, functions or methods." -optional = false +optional = true python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "deprecated-1.3.1-py2.py3-none-any.whl", hash = "sha256:597bfef186b6f60181535a29fbe44865ce137a5079f295b479886c82729d5f3f"}, {file = "deprecated-1.3.1.tar.gz", hash = "sha256:b1b50e0ff0c1fddaa5708a2c6b0a6588bb09b892825ab2b214ac9ea9d92a5223"}, @@ -839,9 +850,10 @@ tests = ["codecov", "nbmake", "netCDF4", "pytest", "pytest-console-scripts", "py name = "farama-notifications" version = "0.0.4" description = "Notifications for all Farama Foundation maintained libraries." -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"}, {file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"}, @@ -851,9 +863,10 @@ files = [ name = "filelock" version = "3.25.2" description = "A platform independent file lock." -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70"}, {file = "filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694"}, @@ -863,9 +876,10 @@ files = [ name = "fire" version = "0.7.1" description = "A library for automatically generating command line interfaces." -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "fire-0.7.1-py3-none-any.whl", hash = "sha256:e43fd8a5033a9001e7e2973bab96070694b9f12f2e0ecf96d4683971b5ab1882"}, {file = "fire-0.7.1.tar.gz", hash = "sha256:3b208f05c736de98fb343310d090dcc4d8c78b2a89ea4f32b837c586270a9cbf"}, @@ -954,9 +968,10 @@ woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "bro name = "fsspec" version = "2026.2.0" description = "File-system specification" -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, @@ -1028,9 +1043,10 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3. name = "graphemeu" version = "0.7.2" description = "Unicode grapheme helpers" -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "graphemeu-0.7.2-py3-none-any.whl", hash = "sha256:1444520f6899fd30114fc2a39f297d86d10fa0f23bf7579f772f8bc7efaa2542"}, {file = "graphemeu-0.7.2.tar.gz", hash = "sha256:42bbe373d7c146160f286cd5f76b1a8ad29172d7333ce10705c5cc282462a4f8"}, @@ -1044,9 +1060,10 @@ docs = ["sphinx", "sphinx-autobuild"] name = "grpcio" version = "1.78.0" description = "HTTP/2-based RPC framework" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "grpcio-1.78.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:7cc47943d524ee0096f973e1081cb8f4f17a4615f2116882a5f1416e4cfe92b5"}, {file = "grpcio-1.78.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:c3f293fdc675ccba4db5a561048cca627b5e7bd1c8a6973ffedabe7d116e22e2"}, @@ -1121,9 +1138,10 @@ protobuf = ["grpcio-tools (>=1.78.0)"] name = "gymnasium" version = "0.28.1" description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)." -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "gymnasium-0.28.1-py3-none-any.whl", hash = "sha256:7bc9a5bce1022f997d1dbc152fc91d1ac977bad9cc7794cdc25437010867cabf"}, {file = "gymnasium-0.28.1.tar.gz", hash = "sha256:4c2c745808792c8f45c6e88ad0a5504774394e0c126f6e3db555e720d3da6f24"}, @@ -1207,9 +1225,10 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 name = "imageio" version = "2.37.3" description = "Read and write images and video across all major formats. Supports scientific and volumetric data." -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "imageio-2.37.3-py3-none-any.whl", hash = "sha256:46f5bb8522cd421c0f5ae104d8268f569d856b29eb1a13b92829d1970f32c9f0"}, {file = "imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451"}, @@ -1241,9 +1260,10 @@ tifffile = ["tifffile"] name = "imageio-ffmpeg" version = "0.6.0" description = "FFMPEG wrapper for Python" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.whl", hash = "sha256:9d2baaf867088508d4a3458e61eeb30e945c4ad8016025545f66c4b5aaef0a61"}, {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b1ae3173414b5fc5f538a726c4e48ea97edc0d2cdc11f103afee655c463fa742"}, @@ -1383,9 +1403,10 @@ pygments = "*" name = "jax-jumpy" version = "1.0.0" description = "Common backend for Jax or Numpy." -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "jax-jumpy-1.0.0.tar.gz", hash = "sha256:195fb955cc4c2b7f0b1453e3cb1fb1c414a51a407ffac7a51e69a73cb30d59ad"}, {file = "jax_jumpy-1.0.0-py3-none-any.whl", hash = "sha256:ab7e01454bba462de3c4d098e3e585c302a8f06bc36d9182ab4e7e4aa7067c5e"}, @@ -1422,9 +1443,10 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"] name = "jinja2" version = "3.1.6" description = "A very fast and expressive template engine." -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1623,9 +1645,10 @@ files = [ name = "markdown" version = "3.10.2" description = "Python implementation of John Gruber's Markdown." -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "markdown-3.10.2-py3-none-any.whl", hash = "sha256:e91464b71ae3ee7afd3017d9f358ef0baf158fd9a298db92f1d4761133824c36"}, {file = "markdown-3.10.2.tar.gz", hash = "sha256:994d51325d25ad8aa7ce4ebaec003febcce822c3f8c911e3b17c52f7f589f950"}, @@ -1639,9 +1662,10 @@ testing = ["coverage", "pyyaml"] name = "markupsafe" version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1835,9 +1859,10 @@ test = ["flake8", "nbdime", "nbval", "notebook", "pytest"] name = "mo-gymnasium" version = "1.1.0" description = "A standard API for MORL and a diverse set of reference environments." -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "mo-gymnasium-1.1.0.tar.gz", hash = "sha256:feaee103e33acfacb4f2f0729f83b4905bd2d8e2fca944681395203a30acec89"}, {file = "mo_gymnasium-1.1.0-py3-none-any.whl", hash = "sha256:4cef786ce169949b2bc7b714743ed070a2aaefb9498d96aaf26128b937573b09"}, @@ -1863,9 +1888,10 @@ testing = ["pytest (==7.1.3)"] name = "momaland" version = "0.1.1" description = "A standard API for Multi-Objective Multi-Agent Decision making and a diverse set of reference environments." -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "momaland-0.1.1-py3-none-any.whl", hash = "sha256:288f27fb72e2db67bc4aec9d250d5ddb2526667f52b4c825ccc4387355eb3cc9"}, {file = "momaland-0.1.1.tar.gz", hash = "sha256:ffd61796d5cfbac21125b6fe1d156b816c44d404d5d072e3accdcf7c45c18b5a"}, @@ -1892,9 +1918,10 @@ testing = ["pytest (==7.1.3)"] name = "moocore" version = "0.2.0" description = "Core Algorithms for Multi-Objective Optimization" -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "moocore-0.2.0-cp310-abi3-macosx_10_9_universal2.whl", hash = "sha256:653449231f328d3c9e69693ec3d44e8c77f38ab7e9ef0c69dd9ded40449e980d"}, {file = "moocore-0.2.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8f091a7304532ed605acd82acd051e89af22ece8e2a27a3cee0faf9f2ea185"}, @@ -1922,9 +1949,10 @@ test = ["pandas (>=2)", "pytest (>7)"] name = "morl-baselines" version = "1.0.0" description = "Implementations of multi-objective reinforcement learning (MORL) algorithms." -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "morl-baselines-1.0.0.tar.gz", hash = "sha256:54db64cf2fe455b289777e1164ee4a9961cdc8526e5eff0c65f0ab3983119844"}, {file = "morl_baselines-1.0.0-py3-none-any.whl", hash = "sha256:966db5e2a080c4b1314f6ea6ccfab42875519e5ef8a93898d01c401cbdc55642"}, @@ -1955,9 +1983,10 @@ testing = ["pytest (==7.1.3)"] name = "moviepy" version = "1.0.3" description = "Video editing with Python" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"}, ] @@ -1980,9 +2009,10 @@ test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "p name = "mpmath" version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -2065,9 +2095,10 @@ files = [ name = "networkx" version = "3.6" description = "Python package for creating and manipulating graphs and networks" -optional = false +optional = true python-versions = ">=3.11" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"}, {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"}, @@ -2126,10 +2157,10 @@ files = [ name = "nvidia-cublas-cu12" version = "12.1.3.1" description = "CUBLAS native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"}, {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"}, @@ -2139,10 +2170,10 @@ files = [ name = "nvidia-cuda-cupti-cu12" version = "12.1.105" description = "CUDA profiling tools runtime libs." -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"}, {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"}, @@ -2152,10 +2183,10 @@ files = [ name = "nvidia-cuda-nvrtc-cu12" version = "12.1.105" description = "NVRTC native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"}, {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"}, @@ -2165,10 +2196,10 @@ files = [ name = "nvidia-cuda-runtime-cu12" version = "12.1.105" description = "CUDA Runtime native Libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"}, {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"}, @@ -2178,10 +2209,10 @@ files = [ name = "nvidia-cudnn-cu12" version = "9.1.0.70" description = "cuDNN runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"}, {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"}, @@ -2194,10 +2225,10 @@ nvidia-cublas-cu12 = "*" name = "nvidia-cufft-cu12" version = "11.0.2.54" description = "CUFFT native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"}, {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"}, @@ -2207,10 +2238,10 @@ files = [ name = "nvidia-curand-cu12" version = "10.3.2.106" description = "CURAND native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"}, {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"}, @@ -2220,10 +2251,10 @@ files = [ name = "nvidia-cusolver-cu12" version = "11.4.5.107" description = "CUDA solver native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"}, {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"}, @@ -2238,10 +2269,10 @@ nvidia-nvjitlink-cu12 = "*" name = "nvidia-cusparse-cu12" version = "12.1.0.106" description = "CUSPARSE native runtime libraries" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"}, {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"}, @@ -2254,10 +2285,10 @@ nvidia-nvjitlink-cu12 = "*" name = "nvidia-nccl-cu12" version = "2.20.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"}, {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"}, @@ -2267,10 +2298,10 @@ files = [ name = "nvidia-nvjitlink-cu12" version = "12.9.86" description = "Nvidia JIT LTO Library" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9"}, {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:994a05ef08ef4b0b299829cde613a424382aff7efb08a7172c1fa616cc3af2ca"}, @@ -2281,10 +2312,10 @@ files = [ name = "nvidia-nvtx-cu12" version = "12.1.105" description = "NVIDIA Tools Extension" -optional = false +optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\"" files = [ {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"}, {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"}, @@ -2294,9 +2325,10 @@ files = [ name = "osqp" version = "1.1.1" description = "OSQP: The Operator Splitting QP Solver" -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "osqp-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:415096d3cf1710a2200a7e70c0c69591abef9081ce3ef8efb8fe16b14e214726"}, {file = "osqp-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b3f26a5deb848e577d3b8b03c129be141756f3675297c38c128d556ab6216fb8"}, @@ -2462,9 +2494,10 @@ test = ["pytest", "pytest-cov", "scipy"] name = "pettingzoo" version = "1.24.3" description = "Gymnasium for multi-agent reinforcement learning." -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "pettingzoo-1.24.3-py3-none-any.whl", hash = "sha256:23ed90517d2e8a7098bdaf5e31234b3a7f7b73ca578d70d1ca7b9d0cb0e37982"}, {file = "pettingzoo-1.24.3.tar.gz", hash = "sha256:91f9094f18e06fb74b98f4099cd22e8ae4396125e51719d50b30c9f1c7ab07e6"}, @@ -2709,9 +2742,10 @@ xxhash = ["xxhash (>=1.4.3)"] name = "proglog" version = "0.1.12" description = "Log and progress bar manager for console, notebooks, web..." -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "proglog-0.1.12-py3-none-any.whl", hash = "sha256:ccaafce51e80a81c65dc907a460c07ccb8ec1f78dc660cfd8f9ec3a22f01b84c"}, {file = "proglog-0.1.12.tar.gz", hash = "sha256:361ee074721c277b89b75c061336cb8c5f287c92b043efa562ccf7866cda931c"}, @@ -2837,7 +2871,7 @@ description = "C parser in Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "implementation_name != \"PyPy\"" +markers = "implementation_name == \"pypy\" or extra == \"rl\" and implementation_name != \"PyPy\"" files = [ {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"}, {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"}, @@ -3003,9 +3037,10 @@ typing-extensions = ">=4.14.1" name = "pygame" version = "2.3.0" description = "Python Game Development" -optional = false +optional = true python-versions = ">=3.6" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "pygame-2.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3e9535cf1af0c6ca38d94e0b492fc41057d7bf05e9bd64d3ed3e216d336d6d11"}, {file = "pygame-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:23bd3c3a6d4e8acddee2297d609dbc5953d6ba99b0f0cc5ccc2f567889db3785"}, @@ -3096,9 +3131,10 @@ windows-terminal = ["colorama (>=0.4.6)"] name = "pymoo" version = "0.6.1.6" description = "Multi-Objective Optimization in Python" -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "pymoo-0.6.1.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f2d48fa7f8f8ea314405ad49a6b7f3dcf8f12c2024e319e2d47ede0937f8b39b"}, {file = "pymoo-0.6.1.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c8cfd085b74b3f673378109d8d0734d0cab460e3e78c09f691120ac0c2698aad"}, @@ -3158,9 +3194,10 @@ parallelization = ["dask[distributed]", "joblib", "ray[default]"] name = "pymunk" version = "6.2.0" description = "Pymunk is a easy-to-use pythonic 2d physics library" -optional = false +optional = true python-versions = ">=3.6" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "pymunk-6.2.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:aeb31794b832b080a76e0e365a72d2da4104269c3a3f13e1ca9ef9d66fb5f9b4"}, {file = "pymunk-6.2.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:1f08bec9e7b62fa321c6acd1cc7a52a4016943effa26fb442e8beb02fbc854a6"}, @@ -3207,9 +3244,10 @@ dev = ["aafigure", "matplotlib", "pygame", "pyglet", "sphinx", "wheel"] name = "pyopengl" version = "3.1.6" description = "Standard OpenGL bindings for Python" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "PyOpenGL-3.1.6-py2-none-any.whl", hash = "sha256:57c597d989178e1413002df6b923619f6d29807501dece1c60cc6f12c0c8e8a7"}, {file = "PyOpenGL-3.1.6-py3-none-any.whl", hash = "sha256:a7139bc3e15d656feae1f7e3ef68c799941ed43fadc78177a23db7e946c20738"}, @@ -3220,9 +3258,10 @@ files = [ name = "pyopengl-accelerate" version = "3.1.10" description = "Cython-coded accelerators for PyOpenGL" -optional = false +optional = true python-versions = "*" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "pyopengl_accelerate-3.1.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:799b7ff0b2beaac92ec89e342147ae5f6b4e30acc60d124a48dec3fb2ee6c365"}, {file = "pyopengl_accelerate-3.1.10-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f1a7f31090b029ca9a4623ebe9bffa5497a579ae1f05aff2aa3c362ca1eb0"}, @@ -3711,9 +3750,10 @@ test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis name = "scs" version = "3.2.11" description = "Splitting conic solver" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "scs-3.2.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:928b2fd09d1f4446bd440037d8ca4fb70eb55e411c3259461646ba909ed098f7"}, {file = "scs-3.2.11-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ace8221013596173de6bdf199d4415f6532b38372e7b68ff22f688b7de2a72bf"}, @@ -3956,9 +3996,10 @@ test = ["pytest"] name = "setuptools" version = "82.0.1" description = "Most extensible Python build backend with support for C/C++ extension modules" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb"}, {file = "setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9"}, @@ -4079,9 +4120,10 @@ docs = ["ipykernel", "jupyter_client", "matplotlib", "nbconvert", "nbformat", "n name = "supersuit" version = "3.9.3" description = "Wrappers for Gymnasium and PettingZoo" -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "SuperSuit-3.9.3-py3-none-any.whl", hash = "sha256:f30ab6fd9fe720ea7fa73d45a96935b6321c4ea1aa45d7997684c09f39aa10de"}, {file = "supersuit-3.9.3.tar.gz", hash = "sha256:10f5d0ed208ddb92fba767a7889ada9f46894519077527d6af799a7767a13159"}, @@ -4099,9 +4141,10 @@ testing = ["AutoROM", "moviepy (>=1.0.0)", "pettingzoo[all,atari] (>=1.23.1)", " name = "sympy" version = "1.14.0" description = "Computer algebra system (CAS) in Python" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -4117,9 +4160,10 @@ dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] name = "tensorboard" version = "2.19.0" description = "TensorBoard lets you watch Tensors Flow" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "tensorboard-2.19.0-py3-none-any.whl", hash = "sha256:5e71b98663a641a7ce8a6e70b0be8e1a4c0c45d48760b076383ac4755c35b9a0"}, ] @@ -4140,9 +4184,10 @@ werkzeug = ">=1.0.1" name = "tensorboard-data-server" version = "0.7.2" description = "Fast data loading for TensorBoard" -optional = false +optional = true python-versions = ">=3.7" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"}, {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"}, @@ -4153,9 +4198,10 @@ files = [ name = "termcolor" version = "3.3.0" description = "ANSI color formatting for output in terminal" -optional = false +optional = true python-versions = ">=3.10" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5"}, {file = "termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5"}, @@ -4180,9 +4226,10 @@ files = [ name = "tinyscaler" version = "1.2.8" description = "A tiny, simple image scaler." -optional = false +optional = true python-versions = ">=3.8" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "tinyscaler-1.2.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b69a0414d626ba5d075b93546f37ece0c10f690f7d3ce3f162c2316ac1667511"}, {file = "tinyscaler-1.2.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb30db6782df95c34b294266876e71fd3d32dd3d33bf4c8ec72d07f570ae7bca"}, @@ -4209,9 +4256,10 @@ numpy = ">=1.21.0" name = "torch" version = "2.4.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" -optional = false +optional = true python-versions = ">=3.8.0" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971"}, {file = "torch-2.4.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3"}, @@ -4322,10 +4370,10 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, name = "triton" version = "3.0.0" description = "A language and compiler for custom Deep Learning operations" -optional = false +optional = true python-versions = "*" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version == \"3.12\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version == \"3.12\" and extra == \"rl\"" files = [ {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"}, {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"}, @@ -4499,9 +4547,10 @@ files = [ name = "werkzeug" version = "3.1.6" description = "The comprehensive WSGI web application library." -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "werkzeug-3.1.6-py3-none-any.whl", hash = "sha256:7ddf3357bb9564e407607f988f683d72038551200c704012bb9a4c523d42f131"}, {file = "werkzeug-3.1.6.tar.gz", hash = "sha256:210c6bede5a420a913956b4791a7f4d6843a43b6fcee4dfa08a65e93007d0d25"}, @@ -4517,9 +4566,10 @@ watchdog = ["watchdog (>=2.3)"] name = "wrapt" version = "2.1.2" description = "Module for decorators, wrappers and monkey patching." -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] +markers = "extra == \"rl\"" files = [ {file = "wrapt-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b7a86d99a14f76facb269dc148590c01aaf47584071809a70da30555228158c"}, {file = "wrapt-2.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a819e39017f95bf7aede768f75915635aa8f671f2993c036991b8d3bfe8dbb6f"}, @@ -4641,7 +4691,10 @@ io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_versio parallel = ["dask[complete]"] viz = ["matplotlib", "nc-time-axis", "seaborn"] +[extras] +rl = ["SuperSuit", "gymnasium", "momaland", "morl-baselines", "pettingzoo", "tensorboard", "torch"] + [metadata] lock-version = "2.1" python-versions = ">=3.12, <4" -content-hash = "68f2b9ff5932d105638fee16423a4b2c42b2ec8b8c869b30910ffe25c6a72f43" +content-hash = "23b32005a12de40bfa6bf86e965173edd020fb9e4651d289d60afeab41549c51" diff --git a/pyproject.toml b/pyproject.toml index 104bd2e..1fd48e4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,15 +20,19 @@ dependencies = [ "tyro (>=0.9.24)", "wandb (==0.20.1)", "numpy (==1.24.3)", + "python-cdd (==0.0.98)", + "pytest (>=8.0)", +] + +[project.optional-dependencies] +rl = [ "torch (==2.4.1)", "SuperSuit (==3.9.3)", "pettingzoo (==1.24.3)", - "python-cdd (==0.0.98)", "momaland (==0.1.1)", "gymnasium (==0.28.1)", "morl-baselines (==1.0.0)", "tensorboard (==2.19.0)", - "pytest (>=8.0)", ] [build-system] From 6ca89ff07558114884664c1ad0ade075d190c6d0 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:46:58 +0200 Subject: [PATCH 6/7] Relax numpy pin to >=1.26.0,<2.0 for Python 3.12 compatibility numpy==1.24.3 has no Python 3.12 wheels. numpy 1.26.0 was the first release with Python 3.12 wheel support. Pinning <2.0 to stay on the stable 1.x line. No deprecated numpy APIs found in the codebase. Co-Authored-By: Claude Sonnet 4.6 --- poetry.lock | 70 ++++++++++++++++++++++++++++---------------------- pyproject.toml | 2 +- 2 files changed, 40 insertions(+), 32 deletions(-) diff --git a/poetry.lock b/poetry.lock index d8f5053..5130cfe 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2117,40 +2117,48 @@ test-extras = ["pytest-mpl", "pytest-randomly"] [[package]] name = "numpy" -version = "1.24.3" +version = "1.26.4" description = "Fundamental package for array computing in Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"}, - {file = "numpy-1.24.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7"}, - {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8535303847b89aa6b0f00aa1dc62867b5a32923e4d1681a35b5eef2d9591a463"}, - {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d926b52ba1367f9acb76b0df6ed21f0b16a1ad87c6720a1121674e5cf63e2b6"}, - {file = "numpy-1.24.3-cp310-cp310-win32.whl", hash = "sha256:f21c442fdd2805e91799fbe044a7b999b8571bb0ab0f7850d0cb9641a687092b"}, - {file = "numpy-1.24.3-cp310-cp310-win_amd64.whl", hash = "sha256:ab5f23af8c16022663a652d3b25dcdc272ac3f83c3af4c02eb8b824e6b3ab9d7"}, - {file = "numpy-1.24.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9a7721ec204d3a237225db3e194c25268faf92e19338a35f3a224469cb6039a3"}, - {file = "numpy-1.24.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d6cc757de514c00b24ae8cf5c876af2a7c3df189028d68c0cb4eaa9cd5afc2bf"}, - {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76e3f4e85fc5d4fd311f6e9b794d0c00e7002ec122be271f2019d63376f1d385"}, - {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1d3c026f57ceaad42f8231305d4653d5f05dc6332a730ae5c0bea3513de0950"}, - {file = "numpy-1.24.3-cp311-cp311-win32.whl", hash = "sha256:c91c4afd8abc3908e00a44b2672718905b8611503f7ff87390cc0ac3423fb096"}, - {file = "numpy-1.24.3-cp311-cp311-win_amd64.whl", hash = "sha256:5342cf6aad47943286afa6f1609cad9b4266a05e7f2ec408e2cf7aea7ff69d80"}, - {file = "numpy-1.24.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7776ea65423ca6a15255ba1872d82d207bd1e09f6d0894ee4a64678dd2204078"}, - {file = "numpy-1.24.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ae8d0be48d1b6ed82588934aaaa179875e7dc4f3d84da18d7eae6eb3f06c242c"}, - {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecde0f8adef7dfdec993fd54b0f78183051b6580f606111a6d789cd14c61ea0c"}, - {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4749e053a29364d3452c034827102ee100986903263e89884922ef01a0a6fd2f"}, - {file = "numpy-1.24.3-cp38-cp38-win32.whl", hash = "sha256:d933fabd8f6a319e8530d0de4fcc2e6a61917e0b0c271fded460032db42a0fe4"}, - {file = "numpy-1.24.3-cp38-cp38-win_amd64.whl", hash = "sha256:56e48aec79ae238f6e4395886b5eaed058abb7231fb3361ddd7bfdf4eed54289"}, - {file = "numpy-1.24.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4719d5aefb5189f50887773699eaf94e7d1e02bf36c1a9d353d9f46703758ca4"}, - {file = "numpy-1.24.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0ec87a7084caa559c36e0a2309e4ecb1baa03b687201d0a847c8b0ed476a7187"}, - {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea8282b9bcfe2b5e7d491d0bf7f3e2da29700cec05b49e64d6246923329f2b02"}, - {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210461d87fb02a84ef243cac5e814aad2b7f4be953b32cb53327bb49fd77fbb4"}, - {file = "numpy-1.24.3-cp39-cp39-win32.whl", hash = "sha256:784c6da1a07818491b0ffd63c6bbe5a33deaa0e25a20e1b3ea20cf0e43f8046c"}, - {file = "numpy-1.24.3-cp39-cp39-win_amd64.whl", hash = "sha256:d5036197ecae68d7f491fcdb4df90082b0d4960ca6599ba2659957aafced7c17"}, - {file = "numpy-1.24.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:352ee00c7f8387b44d19f4cada524586f07379c0d49270f87233983bc5087ca0"}, - {file = "numpy-1.24.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7d6acc2e7524c9955e5c903160aa4ea083736fde7e91276b0e5d98e6332812"}, - {file = "numpy-1.24.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:35400e6a8d102fd07c71ed7dcadd9eb62ee9a6e84ec159bd48c28235bbb0f8e4"}, - {file = "numpy-1.24.3.tar.gz", hash = "sha256:ab344f1bf21f140adab8e47fdbc7c35a477dc01408791f8ba00d018dd0bc5155"}, + {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, + {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"}, + {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"}, + {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"}, + {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"}, + {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"}, + {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"}, + {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"}, + {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"}, + {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"}, + {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"}, ] [[package]] @@ -4697,4 +4705,4 @@ rl = ["SuperSuit", "gymnasium", "momaland", "morl-baselines", "pettingzoo", "ten [metadata] lock-version = "2.1" python-versions = ">=3.12, <4" -content-hash = "23b32005a12de40bfa6bf86e965173edd020fb9e4651d289d60afeab41549c51" +content-hash = "8063f4d8b78c6e2dadee3d244ced02a9197ce79689032066517f07c80cd964b1" diff --git a/pyproject.toml b/pyproject.toml index 1fd48e4..74a8aa9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,7 +19,7 @@ dependencies = [ "seaborn (>=0.13.0)", "tyro (>=0.9.24)", "wandb (==0.20.1)", - "numpy (==1.24.3)", + "numpy (>=1.26.0, <2.0)", "python-cdd (==0.0.98)", "pytest (>=8.0)", ] From 8ed5ad4a5a7f0837df549fc39a0bb838d3acaf02 Mon Sep 17 00:00:00 2001 From: JazminZatarain Date: Wed, 1 Apr 2026 22:50:17 +0200 Subject: [PATCH 7/7] Add pandas >=2.1.0 floor for Python 3.12 wheel compatibility pandas 2.0.x has no Python 3.12 wheels; 2.1.0 was the first release with Python 3.12 support. Resolves to pandas 2.3.3. Co-Authored-By: Claude Sonnet 4.6 --- poetry.lock | 231 +++++++++++++++++++++++++++++++++++++------------ pyproject.toml | 1 + 2 files changed, 179 insertions(+), 53 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5130cfe..b371451 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2402,67 +2402,190 @@ files = [ [[package]] name = "pandas" -version = "2.0.3" +version = "2.3.3" description = "Powerful data structures for data analysis, time series, and statistics" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] -files = [ - {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"}, - {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"}, - {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"}, - {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"}, - {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"}, - {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"}, - {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"}, - {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"}, - {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"}, - {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"}, - {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"}, +markers = "python_version >= \"3.14\"" +files = [ + {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"}, + {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"}, + {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1"}, + {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838"}, + {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250"}, + {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4"}, + {file = "pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826"}, + {file = "pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523"}, + {file = "pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45"}, + {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66"}, + {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b"}, + {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791"}, + {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151"}, + {file = "pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c"}, + {file = "pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53"}, + {file = "pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35"}, + {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908"}, + {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89"}, + {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98"}, + {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084"}, + {file = "pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b"}, + {file = "pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713"}, + {file = "pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8"}, + {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d"}, + {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac"}, + {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c"}, + {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493"}, + {file = "pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee"}, + {file = "pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5"}, + {file = "pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21"}, + {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78"}, + {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110"}, + {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86"}, + {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc"}, + {file = "pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0"}, + {file = "pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593"}, + {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c"}, + {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b"}, + {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6"}, + {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3"}, + {file = "pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5"}, + {file = "pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec"}, + {file = "pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7"}, + {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450"}, + {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5"}, + {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788"}, + {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87"}, + {file = "pandas-2.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c503ba5216814e295f40711470446bc3fd00f0faea8a086cbc688808e26f92a2"}, + {file = "pandas-2.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a637c5cdfa04b6d6e2ecedcb81fc52ffb0fd78ce2ebccc9ea964df9f658de8c8"}, + {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:854d00d556406bffe66a4c0802f334c9ad5a96b4f1f868adf036a21b11ef13ff"}, + {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bf1f8a81d04ca90e32a0aceb819d34dbd378a98bf923b6398b9a3ec0bf44de29"}, + {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:23ebd657a4d38268c7dfbdf089fbc31ea709d82e4923c5ffd4fbd5747133ce73"}, + {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5554c929ccc317d41a5e3d1234f3be588248e61f08a74dd17c9eabb535777dc9"}, + {file = "pandas-2.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:d3e28b3e83862ccf4d85ff19cf8c20b2ae7e503881711ff2d534dc8f761131aa"}, + {file = "pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b"}, ] [package.dependencies] -numpy = {version = ">=1.23.2", markers = "python_version >= \"3.11\""} +numpy = {version = ">=1.26.0", markers = "python_version >= \"3.12\""} python-dateutil = ">=2.8.2" pytz = ">=2020.1" -tzdata = ">=2022.1" +tzdata = ">=2022.7" [package.extras] -all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.7.0)", "gcsfs (>=2021.7.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.8.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] -aws = ["s3fs (>=2021.8.0)"] -clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"] -compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"] -computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"] -feather = ["pyarrow (>=7.0.0)"] -fss = ["fsspec (>=2021.7.0)"] -gcp = ["gcsfs (>=2021.7.0)", "pandas-gbq (>=0.15.0)"] -hdf5 = ["tables (>=3.6.1)"] -html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"] -mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"] -parquet = ["pyarrow (>=7.0.0)"] -performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"] -plot = ["matplotlib (>=3.6.1)"] -postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"] -spss = ["pyreadstat (>=1.1.2)"] -sql-other = ["SQLAlchemy (>=1.4.16)"] -test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.6.3)"] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +pyarrow = ["pyarrow (>=10.0.1)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pandas" +version = "3.0.2" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.11" +groups = ["main"] +markers = "python_version < \"3.14\"" +files = [ + {file = "pandas-3.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a727a73cbdba2f7458dc82449e2315899d5140b449015d822f515749a46cbbe0"}, + {file = "pandas-3.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dbbd4aa20ca51e63b53bbde6a0fa4254b1aaabb74d2f542df7a7959feb1d760c"}, + {file = "pandas-3.0.2-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:339dda302bd8369dedeae979cb750e484d549b563c3f54f3922cb8ff4978c5eb"}, + {file = "pandas-3.0.2-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:61c2fd96d72b983a9891b2598f286befd4ad262161a609c92dc1652544b46b76"}, + {file = "pandas-3.0.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c934008c733b8bbea273ea308b73b3156f0181e5b72960790b09c18a2794fe1e"}, + {file = "pandas-3.0.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:60a80bb4feacbef5e1447a3f82c33209c8b7e07f28d805cfd1fb951e5cb443aa"}, + {file = "pandas-3.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:ed72cb3f45190874eb579c64fa92d9df74e98fd63e2be7f62bce5ace0ade61df"}, + {file = "pandas-3.0.2-cp311-cp311-win_arm64.whl", hash = "sha256:f12b1a9e332c01e09510586f8ca9b108fd631fd656af82e452d7315ef6df5f9f"}, + {file = "pandas-3.0.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:232a70ebb568c0c4d2db4584f338c1577d81e3af63292208d615907b698a0f18"}, + {file = "pandas-3.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:970762605cff1ca0d3f71ed4f3a769ea8f85fc8e6348f6e110b8fea7e6eb5a14"}, + {file = "pandas-3.0.2-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aff4e6f4d722e0652707d7bcb190c445fe58428500c6d16005b02401764b1b3d"}, + {file = "pandas-3.0.2-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ef8b27695c3d3dc78403c9a7d5e59a62d5464a7e1123b4e0042763f7104dc74f"}, + {file = "pandas-3.0.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f8d68083e49e16b84734eb1a4dcae4259a75c90fb6e2251ab9a00b61120c06ab"}, + {file = "pandas-3.0.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:32cc41f310ebd4a296d93515fcac312216adfedb1894e879303987b8f1e2b97d"}, + {file = "pandas-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:a4785e1d6547d8427c5208b748ae2efb64659a21bd82bf440d4262d02bfa02a4"}, + {file = "pandas-3.0.2-cp312-cp312-win_arm64.whl", hash = "sha256:08504503f7101300107ecdc8df73658e4347586db5cfdadabc1592e9d7e7a0fd"}, + {file = "pandas-3.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b5918ba197c951dec132b0c5929a00c0bf05d5942f590d3c10a807f6e15a57d3"}, + {file = "pandas-3.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d606a041c89c0a474a4702d532ab7e73a14fe35c8d427b972a625c8e46373668"}, + {file = "pandas-3.0.2-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:710246ba0616e86891b58ab95f2495143bb2bc83ab6b06747c74216f583a6ac9"}, + {file = "pandas-3.0.2-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5d3cfe227c725b1f3dff4278b43d8c784656a42a9325b63af6b1492a8232209e"}, + {file = "pandas-3.0.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c3b723df9087a9a9a840e263ebd9f88b64a12075d1bf2ea401a5a42f254f084d"}, + {file = "pandas-3.0.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a3096110bf9eac0070b7208465f2740e2d8a670d5cb6530b5bb884eca495fd39"}, + {file = "pandas-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:07a10f5c36512eead51bc578eb3354ad17578b22c013d89a796ab5eee90cd991"}, + {file = "pandas-3.0.2-cp313-cp313-win_arm64.whl", hash = "sha256:5fdbfa05931071aba28b408e59226186b01eb5e92bea2ab78b65863ca3228d84"}, + {file = "pandas-3.0.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:dbc20dea3b9e27d0e66d74c42b2d0c1bed9c2ffe92adea33633e3bedeb5ac235"}, + {file = "pandas-3.0.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b75c347eff42497452116ce05ef461822d97ce5b9ff8df6edacb8076092c855d"}, + {file = "pandas-3.0.2-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d1478075142e83a5571782ad007fb201ed074bdeac7ebcc8890c71442e96adf7"}, + {file = "pandas-3.0.2-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5880314e69e763d4c8b27937090de570f1fb8d027059a7ada3f7f8e98bdcb677"}, + {file = "pandas-3.0.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:b5329e26898896f06035241a626d7c335daa479b9bbc82be7c2742d048e41172"}, + {file = "pandas-3.0.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:81526c4afd31971f8b62671442a4b2b51e0aa9acc3819c9f0f12a28b6fcf85f1"}, + {file = "pandas-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:7cadd7e9a44ec13b621aec60f9150e744cfc7a3dd32924a7e2f45edff31823b0"}, + {file = "pandas-3.0.2-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:db0dbfd2a6cdf3770aa60464d50333d8f3d9165b2f2671bcc299b72de5a6677b"}, + {file = "pandas-3.0.2-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0555c5882688a39317179ab4a0ed41d3ebc8812ab14c69364bbee8fb7a3f6288"}, + {file = "pandas-3.0.2-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:01f31a546acd5574ef77fe199bc90b55527c225c20ccda6601cf6b0fd5ed597c"}, + {file = "pandas-3.0.2-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:deeca1b5a931fdf0c2212c8a659ade6d3b1edc21f0914ce71ef24456ca7a6535"}, + {file = "pandas-3.0.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0f48afd9bb13300ffb5a3316973324c787054ba6665cda0da3fbd67f451995db"}, + {file = "pandas-3.0.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6c4d8458b97a35717b62469a4ea0e85abd5ed8687277f5ccfc67f8a5126f8c53"}, + {file = "pandas-3.0.2-cp314-cp314-win_amd64.whl", hash = "sha256:b35d14bb5d8285d9494fe93815a9e9307c0876e10f1e8e89ac5b88f728ec8dcf"}, + {file = "pandas-3.0.2-cp314-cp314-win_arm64.whl", hash = "sha256:63d141b56ef686f7f0d714cfb8de4e320475b86bf4b620aa0b7da89af8cbdbbb"}, + {file = "pandas-3.0.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:140f0cffb1fa2524e874dde5b477d9defe10780d8e9e220d259b2c0874c89d9d"}, + {file = "pandas-3.0.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ae37e833ff4fed0ba352f6bdd8b73ba3ab3256a85e54edfd1ab51ae40cca0af8"}, + {file = "pandas-3.0.2-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4d888a5c678a419a5bb41a2a93818e8ed9fd3172246555c0b37b7cc27027effd"}, + {file = "pandas-3.0.2-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b444dc64c079e84df91baa8bf613d58405645461cabca929d9178f2cd392398d"}, + {file = "pandas-3.0.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:4544c7a54920de8eeacaa1466a6b7268ecfbc9bc64ab4dbb89c6bbe94d5e0660"}, + {file = "pandas-3.0.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:734be7551687c00fbd760dc0522ed974f82ad230d4a10f54bf51b80d44a08702"}, + {file = "pandas-3.0.2-cp314-cp314t-win_amd64.whl", hash = "sha256:57a07209bebcbcf768d2d13c9b78b852f9a15978dac41b9e6421a81ad4cdd276"}, + {file = "pandas-3.0.2-cp314-cp314t-win_arm64.whl", hash = "sha256:5371b72c2d4d415d08765f32d689217a43227484e81b2305b52076e328f6f482"}, + {file = "pandas-3.0.2.tar.gz", hash = "sha256:f4753e73e34c8d83221ba58f232433fca2748be8b18dbca02d242ed153945043"}, +] + +[package.dependencies] +numpy = {version = ">=1.26.0", markers = "python_version < \"3.14\""} +python-dateutil = ">=2.8.2" +tzdata = {version = "*", markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\""} + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)", "beautifulsoup4 (>=4.12.3)", "bottleneck (>=1.4.2)", "fastparquet (>=2024.11.0)", "fsspec (>=2024.10.0)", "gcsfs (>=2024.10.0)", "html5lib (>=1.1)", "hypothesis (>=6.116.0)", "jinja2 (>=3.1.5)", "lxml (>=5.3.0)", "matplotlib (>=3.9.3)", "numba (>=0.60.0)", "numexpr (>=2.10.2)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "psycopg2 (>=2.9.10)", "pyarrow (>=13.0.0)", "pyiceberg (>=0.8.1)", "pymysql (>=1.1.1)", "pyreadstat (>=1.2.8)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)", "python-calamine (>=0.3.0)", "pytz (>=2024.2)", "pyxlsb (>=1.0.10)", "qtpy (>=2.4.2)", "s3fs (>=2024.10.0)", "scipy (>=1.14.1)", "tables (>=3.10.1)", "tabulate (>=0.9.0)", "xarray (>=2024.10.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)", "zstandard (>=0.23.0)"] +aws = ["s3fs (>=2024.10.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.4.2)"] +compression = ["zstandard (>=0.23.0)"] +computation = ["scipy (>=1.14.1)", "xarray (>=2024.10.0)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "python-calamine (>=0.3.0)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)"] +feather = ["pyarrow (>=13.0.0)"] +fss = ["fsspec (>=2024.10.0)"] +gcp = ["gcsfs (>=2024.10.0)"] +hdf5 = ["tables (>=3.10.1)"] +html = ["beautifulsoup4 (>=4.12.3)", "html5lib (>=1.1)", "lxml (>=5.3.0)"] +iceberg = ["pyiceberg (>=0.8.1)"] +mysql = ["SQLAlchemy (>=2.0.36)", "pymysql (>=1.1.1)"] +output-formatting = ["jinja2 (>=3.1.5)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=13.0.0)"] +performance = ["bottleneck (>=1.4.2)", "numba (>=0.60.0)", "numexpr (>=2.10.2)"] +plot = ["matplotlib (>=3.9.3)"] +postgresql = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "psycopg2 (>=2.9.10)"] +pyarrow = ["pyarrow (>=13.0.0)"] +spss = ["pyreadstat (>=1.2.8)"] +sql-other = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)"] +test = ["hypothesis (>=6.116.0)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)"] +timezone = ["pytz (>=2024.2)"] +xml = ["lxml (>=5.3.0)"] [[package]] name = "parso" @@ -2879,7 +3002,7 @@ description = "C parser in Python" optional = false python-versions = ">=3.10" groups = ["main"] -markers = "implementation_name == \"pypy\" or extra == \"rl\" and implementation_name != \"PyPy\"" +markers = "(implementation_name == \"pypy\" or extra == \"rl\") and implementation_name != \"PyPy\"" files = [ {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"}, {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"}, @@ -3388,6 +3511,7 @@ description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] +markers = "python_version >= \"3.14\"" files = [ {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, @@ -4468,6 +4592,7 @@ description = "Provider of IANA time zone data" optional = false python-versions = ">=2" groups = ["main"] +markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version >= \"3.14\"" files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -4705,4 +4830,4 @@ rl = ["SuperSuit", "gymnasium", "momaland", "morl-baselines", "pettingzoo", "ten [metadata] lock-version = "2.1" python-versions = ">=3.12, <4" -content-hash = "8063f4d8b78c6e2dadee3d244ced02a9197ce79689032066517f07c80cd964b1" +content-hash = "edfa101758f82dde2b17a5bc467806a723aecaac9e6a2fadfddef0928b3e2579" diff --git a/pyproject.toml b/pyproject.toml index 74a8aa9..000a3b9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,7 @@ dependencies = [ "tyro (>=0.9.24)", "wandb (==0.20.1)", "numpy (>=1.26.0, <2.0)", + "pandas (>=2.1.0)", "python-cdd (==0.0.98)", "pytest (>=8.0)", ]