python3Packages.pgmpy: update source to actually build 1.1.2
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@@ -1,10 +1,12 @@
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{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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# dependencies
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google-generativeai,
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huggingface-hub,
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joblib,
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networkx,
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numpy,
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@@ -21,6 +23,7 @@
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xgboost,
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# tests
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jsonschema,
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pytestCheckHook,
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pytest-cov-stub,
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mock,
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@@ -34,12 +37,13 @@ buildPythonPackage (finalAttrs: {
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src = fetchFromGitHub {
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owner = "pgmpy";
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repo = "pgmpy";
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rev = "197e1e0444c77c00581a4c32763811e5b03f8503";
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hash = "sha256-TCnn3GrITW8HCrYVeeythiULV130b6uulkijkPpJOqA=";
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tag = "v${finalAttrs.version}";
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hash = "sha256-qZoyeUaRsatWUiFoL1VaRqApjM/AFS8xqTjVBcUpYas=";
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};
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dependencies = [
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google-generativeai
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huggingface-hub
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joblib
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networkx
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numpy
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@@ -71,6 +75,77 @@ buildPythonPackage (finalAttrs: {
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# AssertionError
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"test_estimate_example_smoke_test"
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"test_gcm"
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# Network connectivity failures - tests trying to download models from HuggingFace
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# RuntimeError: Cannot send a request, as the client has been closed.
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"test_copy"
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"test_get_stats"
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"test_hash"
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"test_pc_alarm"
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"test_pc_asia"
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"test_pc_asia_expert"
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"test_temporal_pc_cancer"
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"test_temporal_pc_sachs"
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"test_orient_rule"
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"test_lgbn_schema"
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"test_load_model"
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"test_get_value"
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"test_to_dataframe"
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"test_set_value"
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"test_factor_sum_product"
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"test_query_evidence"
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"test_query_marg"
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"test_virtual_evidence"
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"test_query_raises_for_empty_variables"
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"test_query_functional_bayesian"
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"test_query_linear_gaussian"
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"test_implied_cis_cancer"
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"test_implied_cis_alarm_true_and_random"
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"test_em_init_missing_data_handling"
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"test_get_parameters"
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"test_get_parameters_ess_dict_vs_scalar"
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"test_get_parameters_initial_cpds"
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"test_get_parameters_node_specific_ess_bdeu"
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"test_get_parameters_random_init_cpds"
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"test_get_parameters_smoothing_bdeu"
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"test_get_parameters_smoothing_k2"
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"test_get_parameters_uniform_init_cpds"
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"test_comma_state_name_warning"
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"test_get_cpds"
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"test_get_parents"
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"test_get_states"
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"test_get_variables"
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"test_net_cpd"
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"test_str"
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"test_alarm_model"
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"test_whitespace_warning"
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"test_writer_cpds"
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"test_discrete_network"
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"test_input"
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"test_fisherc"
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"test_rmsea"
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# Statistical test assertion failures
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# assert False
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"test_hotelling_indep"
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"test_roys_indep"
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"test_roys_dependent"
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"test_wilks_indep"
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# Torch tensor rounding issues
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# TypeError: round() takes from 1 to 0 positional arguments but 1 were given
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# TypeError: type Tensor doesn't define __round__ method
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"test_pre_compute_reduce_maps"
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"test_pre_compute_reduce_maps_partial_evidence"
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"test_forward_sample"
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"test_rejection_sample_basic"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# Failures due to numeric precision differences on Darwin
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"test_generalized_cov_approx"
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"test_roys_no_cond"
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"test_roys_dependent"
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"test_wilks_indep"
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];
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enabledTestPaths = [
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@@ -87,8 +162,8 @@ buildPythonPackage (finalAttrs: {
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];
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nativeCheckInputs = [
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jsonschema
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pytestCheckHook
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# xdoctest
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pytest-cov-stub
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mock
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writableTmpDirAsHomeHook
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@@ -99,7 +174,7 @@ buildPythonPackage (finalAttrs: {
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meta = {
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description = "Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks";
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homepage = "https://github.com/pgmpy/pgmpy";
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# changelog = "https://github.com/pgmpy/pgmpy/releases/tag/${finalAttrs.src.tag}";
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changelog = "https://github.com/pgmpy/pgmpy/releases/tag/${finalAttrs.src.tag}";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [
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happysalada
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