diff --git a/src/factorminer/.gitignore b/src/factorminer/.gitignore deleted file mode 100644 index 79574a0..0000000 --- a/src/factorminer/.gitignore +++ /dev/null @@ -1,12 +0,0 @@ -.env -.venv/ -__pycache__/ -*.py[cod] -.pytest_cache/ -.mypy_cache/ -.ruff_cache/ -.coverage -htmlcov/ -build/ -dist/ -*.egg-info/ diff --git a/src/factorminer/factorminer/__init__.py b/src/factorminer/factorminer/__init__.py index 24cdab4..9673f47 100644 --- a/src/factorminer/factorminer/__init__.py +++ b/src/factorminer/factorminer/__init__.py @@ -3,7 +3,7 @@ __version__ = "0.1.0" __author__ = "FactorMiner Team" -from factorminer.utils.config import ( +from src.factorminer.factorminer.utils.config import ( Config, MiningConfig, EvaluationConfig, diff --git a/src/factorminer/factorminer/agent/__init__.py b/src/factorminer/factorminer/agent/__init__.py index 2287bc5..6427ea6 100644 --- a/src/factorminer/factorminer/agent/__init__.py +++ b/src/factorminer/factorminer/agent/__init__.py @@ -1,7 +1,7 @@ """LLM agent integration for factor generation.""" -from factorminer.agent.factor_generator import FactorGenerator -from factorminer.agent.llm_interface import ( +from src.factorminer.factorminer.agent.factor_generator import FactorGenerator +from src.factorminer.factorminer.agent.llm_interface import ( AnthropicProvider, GoogleProvider, LLMProvider, @@ -9,14 +9,14 @@ from factorminer.agent.llm_interface import ( OpenAIProvider, create_provider, ) -from factorminer.agent.output_parser import CandidateFactor, parse_llm_output -from factorminer.agent.prompt_builder import ( +from src.factorminer.factorminer.agent.output_parser import CandidateFactor, parse_llm_output +from src.factorminer.factorminer.agent.prompt_builder import ( PromptBuilder, build_critic_scoring_prompt, build_debate_synthesis_prompt, build_specialist_prompt, ) -from factorminer.agent.specialists import ( +from src.factorminer.factorminer.agent.specialists import ( DEFAULT_SPECIALISTS, LIQUIDITY_SPECIALIST, MOMENTUM_SPECIALIST, @@ -28,8 +28,8 @@ from factorminer.agent.specialists import ( SpecialistDomainMemory, SpecialistPromptBuilder, ) -from factorminer.agent.critic import CriticAgent, CriticScore -from factorminer.agent.debate import ( +from src.factorminer.factorminer.agent.critic import CriticAgent, CriticScore +from src.factorminer.factorminer.agent.debate import ( DebateConfig, DebateGenerator, DebateMemory, diff --git a/src/factorminer/factorminer/agent/critic.py b/src/factorminer/factorminer/agent/critic.py index e5f2dba..c991f44 100644 --- a/src/factorminer/factorminer/agent/critic.py +++ b/src/factorminer/factorminer/agent/critic.py @@ -22,9 +22,9 @@ from collections import Counter from dataclasses import dataclass, field from typing import Any, Dict, List, Optional, Set, Tuple -from factorminer.agent.llm_interface import LLMProvider -from factorminer.agent.output_parser import CandidateFactor -from factorminer.agent.prompt_builder import normalize_factor_references +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.agent.output_parser import CandidateFactor +from src.factorminer.factorminer.agent.prompt_builder import normalize_factor_references logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/agent/debate.py b/src/factorminer/factorminer/agent/debate.py index 1a12d82..9fb4d68 100644 --- a/src/factorminer/factorminer/agent/debate.py +++ b/src/factorminer/factorminer/agent/debate.py @@ -21,15 +21,15 @@ from collections import Counter from dataclasses import dataclass, field from typing import Any, Dict, List, Optional -from factorminer.agent.critic import CriticAgent, CriticScore -from factorminer.agent.factor_generator import FactorGenerator -from factorminer.agent.llm_interface import LLMProvider -from factorminer.agent.output_parser import CandidateFactor -from factorminer.agent.prompt_builder import ( +from src.factorminer.factorminer.agent.critic import CriticAgent, CriticScore +from src.factorminer.factorminer.agent.factor_generator import FactorGenerator +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.agent.output_parser import CandidateFactor +from src.factorminer.factorminer.agent.prompt_builder import ( PromptBuilder, normalize_factor_references, ) -from factorminer.agent.specialists import ( +from src.factorminer.factorminer.agent.specialists import ( DEFAULT_SPECIALISTS, SpecialistAgent, SpecialistConfig, diff --git a/src/factorminer/factorminer/agent/factor_generator.py b/src/factorminer/factorminer/agent/factor_generator.py index c28d631..950bd7d 100644 --- a/src/factorminer/factorminer/agent/factor_generator.py +++ b/src/factorminer/factorminer/agent/factor_generator.py @@ -10,9 +10,9 @@ import logging import time from typing import Any, Dict, List, Optional -from factorminer.agent.llm_interface import LLMProvider -from factorminer.agent.output_parser import CandidateFactor, parse_llm_output -from factorminer.agent.prompt_builder import PromptBuilder +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.agent.output_parser import CandidateFactor, parse_llm_output +from src.factorminer.factorminer.agent.prompt_builder import PromptBuilder logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/agent/output_parser.py b/src/factorminer/factorminer/agent/output_parser.py index 0c90e3f..2b9f65e 100644 --- a/src/factorminer/factorminer/agent/output_parser.py +++ b/src/factorminer/factorminer/agent/output_parser.py @@ -12,9 +12,9 @@ import re from dataclasses import dataclass, field from typing import Dict, List, Optional, Tuple -from factorminer.core.expression_tree import ExpressionTree -from factorminer.core.parser import parse, try_parse -from factorminer.core.types import OperatorType, OPERATOR_REGISTRY +from src.factorminer.factorminer.core.expression_tree import ExpressionTree +from src.factorminer.factorminer.core.parser import parse, try_parse +from src.factorminer.factorminer.core.types import OperatorType, OPERATOR_REGISTRY logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/agent/prompt_builder.py b/src/factorminer/factorminer/agent/prompt_builder.py index b3a63d8..288a999 100644 --- a/src/factorminer/factorminer/agent/prompt_builder.py +++ b/src/factorminer/factorminer/agent/prompt_builder.py @@ -9,7 +9,7 @@ from __future__ import annotations from typing import Any, Dict, List, Optional -from factorminer.core.types import ( +from src.factorminer.factorminer.core.types import ( FEATURES, OPERATOR_REGISTRY, OperatorSpec, diff --git a/src/factorminer/factorminer/agent/specialists.py b/src/factorminer/factorminer/agent/specialists.py index 48e332e..5746096 100644 --- a/src/factorminer/factorminer/agent/specialists.py +++ b/src/factorminer/factorminer/agent/specialists.py @@ -13,9 +13,9 @@ import logging from dataclasses import dataclass, field from typing import Any, Dict, List, Optional -from factorminer.agent.llm_interface import LLMProvider -from factorminer.agent.output_parser import CandidateFactor, parse_llm_output -from factorminer.agent.prompt_builder import ( +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.agent.output_parser import CandidateFactor, parse_llm_output +from src.factorminer.factorminer.agent.prompt_builder import ( SYSTEM_PROMPT, PromptBuilder, normalize_factor_references, diff --git a/src/factorminer/factorminer/benchmark/__init__.py b/src/factorminer/factorminer/benchmark/__init__.py index f27867d..0f1e87d 100644 --- a/src/factorminer/factorminer/benchmark/__init__.py +++ b/src/factorminer/factorminer/benchmark/__init__.py @@ -1,6 +1,6 @@ """Benchmark runners for paper-faithful and Helix research evaluation.""" -from factorminer.benchmark.runtime import ( +from src.factorminer.factorminer.benchmark.runtime import ( BenchmarkManifest, build_benchmark_library, evaluate_frozen_set, @@ -13,7 +13,7 @@ from factorminer.benchmark.runtime import ( run_table1_benchmark, select_frozen_top_k, ) -from factorminer.benchmark.helix_benchmark import ( +from src.factorminer.factorminer.benchmark.helix_benchmark import ( HelixBenchmark, BenchmarkResult, MethodResult, diff --git a/src/factorminer/factorminer/benchmark/ablation.py b/src/factorminer/factorminer/benchmark/ablation.py index 1e0190c..6130611 100644 --- a/src/factorminer/factorminer/benchmark/ablation.py +++ b/src/factorminer/factorminer/benchmark/ablation.py @@ -29,31 +29,31 @@ from typing import Any, Dict, List, Optional, Tuple import numpy as np import pandas as pd -import factorminer.core.helix_loop as helix_loop_module -import factorminer.core.ralph_loop as ralph_loop_module -from factorminer.agent.debate import DebateConfig as RuntimeDebateConfig -from factorminer.agent.llm_interface import MockProvider -from factorminer.benchmark.helix_benchmark import AblationResult, MethodResult -from factorminer.core.config import MiningConfig -from factorminer.core.helix_loop import HelixLoop -from factorminer.core.factor_library import FactorLibrary -from factorminer.evaluation.capacity import CapacityConfig as RuntimeCapacityConfig -from factorminer.evaluation.causal import CausalConfig as RuntimeCausalConfig -from factorminer.evaluation.regime import RegimeConfig as RuntimeRegimeConfig -from factorminer.evaluation.runtime import ( +import src.factorminer.factorminer.core.helix_loop as helix_loop_module +import src.factorminer.factorminer.core.ralph_loop as ralph_loop_module +from src.factorminer.factorminer.agent.debate import DebateConfig as RuntimeDebateConfig +from src.factorminer.factorminer.agent.llm_interface import MockProvider +from src.factorminer.factorminer.benchmark.helix_benchmark import AblationResult, MethodResult +from src.factorminer.factorminer.core.config import MiningConfig +from src.factorminer.factorminer.core.helix_loop import HelixLoop +from src.factorminer.factorminer.core.factor_library import FactorLibrary +from src.factorminer.factorminer.evaluation.capacity import CapacityConfig as RuntimeCapacityConfig +from src.factorminer.factorminer.evaluation.causal import CausalConfig as RuntimeCausalConfig +from src.factorminer.factorminer.evaluation.regime import RegimeConfig as RuntimeRegimeConfig +from src.factorminer.factorminer.evaluation.runtime import ( DatasetSplit, EvaluationDataset, evaluate_factors, ) -from factorminer.evaluation.significance import ( +from src.factorminer.factorminer.evaluation.significance import ( SignificanceConfig as RuntimeSignificanceConfig, ) -from factorminer.benchmark.runtime import ( +from src.factorminer.factorminer.benchmark.runtime import ( build_benchmark_library, evaluate_frozen_set, select_frozen_top_k, ) -from factorminer.memory.memory_store import ExperienceMemory +from src.factorminer.factorminer.memory.memory_store import ExperienceMemory logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/benchmark/catalogs.py b/src/factorminer/factorminer/benchmark/catalogs.py index aa69141..66dc15f 100644 --- a/src/factorminer/factorminer/benchmark/catalogs.py +++ b/src/factorminer/factorminer/benchmark/catalogs.py @@ -8,7 +8,7 @@ from typing import Iterable import numpy as np -from factorminer.core.library_io import PAPER_FACTORS +from src.factorminer.factorminer.core.library_io import PAPER_FACTORS @dataclass(frozen=True) diff --git a/src/factorminer/factorminer/benchmark/helix_benchmark.py b/src/factorminer/factorminer/benchmark/helix_benchmark.py index e0b8a26..d92df09 100644 --- a/src/factorminer/factorminer/benchmark/helix_benchmark.py +++ b/src/factorminer/factorminer/benchmark/helix_benchmark.py @@ -1095,12 +1095,12 @@ class HelixBenchmark: # factorminer.agent.specialists.REGIME_SPECIALIST in some environments. import importlib.util as _ilu, pathlib as _pl, sys as _sys _cat_path = _pl.Path(__file__).parent / "catalogs.py" - if "factorminer.benchmark.catalogs" not in _sys.modules: - _spec = _ilu.spec_from_file_location("factorminer.benchmark.catalogs", str(_cat_path)) + if "src.factorminer.factorminer.benchmark.catalogs" not in _sys.modules: + _spec = _ilu.spec_from_file_location("src.factorminer.factorminer.benchmark.catalogs", str(_cat_path)) _cat_mod = _ilu.module_from_spec(_spec) - _sys.modules["factorminer.benchmark.catalogs"] = _cat_mod + _sys.modules["src.factorminer.factorminer.benchmark.catalogs"] = _cat_mod _spec.loader.exec_module(_cat_mod) - _cat = _sys.modules["factorminer.benchmark.catalogs"] + _cat = _sys.modules["src.factorminer.factorminer.benchmark.catalogs"] ALPHA101_CLASSIC = _cat.ALPHA101_CLASSIC build_alpha101_adapted = _cat.build_alpha101_adapted build_random_exploration = _cat.build_random_exploration diff --git a/src/factorminer/factorminer/benchmark/runtime.py b/src/factorminer/factorminer/benchmark/runtime.py index 0e1c354..f8ffbc0 100644 --- a/src/factorminer/factorminer/benchmark/runtime.py +++ b/src/factorminer/factorminer/benchmark/runtime.py @@ -15,7 +15,7 @@ from typing import Any, Iterable, Optional import numpy as np import pandas as pd -from factorminer.benchmark.catalogs import ( +from src.factorminer.factorminer.benchmark.catalogs import ( CandidateEntry, build_alpha101_adapted, build_alphaagent_style, @@ -27,10 +27,10 @@ from factorminer.benchmark.catalogs import ( entries_from_library, ALPHA101_CLASSIC, ) -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import load_library -from factorminer.core.session import MiningSession -from factorminer.evaluation.runtime import ( +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import load_library +from src.factorminer.factorminer.core.session import MiningSession +from src.factorminer.factorminer.evaluation.runtime import ( EvaluationDataset, FactorEvaluationArtifact, compute_correlation_matrix, diff --git a/src/factorminer/factorminer/cli.py b/src/factorminer/factorminer/cli.py index ea08f7c..cbade96 100644 --- a/src/factorminer/factorminer/cli.py +++ b/src/factorminer/factorminer/cli.py @@ -11,7 +11,7 @@ from pathlib import Path import click import numpy as np -from factorminer.utils.config import load_config +from src.factorminer.factorminer.utils.config import load_config logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/core/__init__.py b/src/factorminer/factorminer/core/__init__.py index 947a945..d02b8d2 100644 --- a/src/factorminer/factorminer/core/__init__.py +++ b/src/factorminer/factorminer/core/__init__.py @@ -1,26 +1,26 @@ """FactorMiner core: expression trees, types, factor DSL parser, and Ralph Loop.""" -from factorminer.core.expression_tree import ( +from src.factorminer.factorminer.core.expression_tree import ( ConstantNode, ExpressionTree, LeafNode, Node, OperatorNode, ) -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import ( +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import ( export_csv, export_formulas, import_from_paper, load_library, save_library, ) -from factorminer.core.parser import parse, try_parse -from factorminer.core.ralph_loop import RalphLoop -from factorminer.core.helix_loop import HelixLoop -from factorminer.core.session import MiningSession -from factorminer.core.config import MiningConfig as CoreMiningConfig -from factorminer.core.types import ( +from src.factorminer.factorminer.core.parser import parse, try_parse +from src.factorminer.factorminer.core.ralph_loop import RalphLoop +from src.factorminer.factorminer.core.helix_loop import HelixLoop +from src.factorminer.factorminer.core.session import MiningSession +from src.factorminer.factorminer.core.config import MiningConfig as CoreMiningConfig +from src.factorminer.factorminer.core.types import ( FEATURES, FEATURE_SET, OPERATOR_REGISTRY, @@ -29,7 +29,7 @@ from factorminer.core.types import ( SignatureType, get_operator, ) -from factorminer.core.canonicalizer import FormulaCanonicalizer +from src.factorminer.factorminer.core.canonicalizer import FormulaCanonicalizer __all__ = [ # Expression tree diff --git a/src/factorminer/factorminer/core/canonicalizer.py b/src/factorminer/factorminer/core/canonicalizer.py index 17bd309..0ce3889 100644 --- a/src/factorminer/factorminer/core/canonicalizer.py +++ b/src/factorminer/factorminer/core/canonicalizer.py @@ -21,7 +21,7 @@ from typing import Dict, List, Optional import sympy from sympy import Abs, Float, Function, Symbol, log, sqrt -from factorminer.core.expression_tree import ( +from src.factorminer.factorminer.core.expression_tree import ( ConstantNode, ExpressionTree, LeafNode, diff --git a/src/factorminer/factorminer/core/expression_tree.py b/src/factorminer/factorminer/core/expression_tree.py index cf4c9be..e8a5da3 100644 --- a/src/factorminer/factorminer/core/expression_tree.py +++ b/src/factorminer/factorminer/core/expression_tree.py @@ -14,7 +14,7 @@ from typing import Any, Dict, Iterator, List, Optional, Tuple, Union import numpy as np -from factorminer.core.types import ( +from src.factorminer.factorminer.core.types import ( FEATURE_SET, OperatorSpec, OperatorType, diff --git a/src/factorminer/factorminer/core/helix_loop.py b/src/factorminer/factorminer/core/helix_loop.py index 5bd68a1..7671661 100644 --- a/src/factorminer/factorminer/core/helix_loop.py +++ b/src/factorminer/factorminer/core/helix_loop.py @@ -22,22 +22,22 @@ from typing import Any, Dict, List, Optional, Set, Tuple import numpy as np -from factorminer.core.ralph_loop import ( +from src.factorminer.factorminer.core.ralph_loop import ( BudgetTracker, EvaluationResult, FactorGenerator, RalphLoop, ValidationPipeline, ) -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.parser import try_parse -from factorminer.evaluation.metrics import compute_ic -from factorminer.memory.memory_store import ExperienceMemory -from factorminer.memory.retrieval import retrieve_memory -from factorminer.memory.formation import form_memory -from factorminer.memory.evolution import evolve_memory -from factorminer.agent.llm_interface import LLMProvider -from factorminer.utils.logging import IterationRecord, FactorRecord +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.parser import try_parse +from src.factorminer.factorminer.evaluation.metrics import compute_ic +from src.factorminer.factorminer.memory.memory_store import ExperienceMemory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.formation import form_memory +from src.factorminer.factorminer.memory.evolution import evolve_memory +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.utils.logging import IterationRecord, FactorRecord logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/core/library_io.py b/src/factorminer/factorminer/core/library_io.py index 9041eae..4353c90 100644 --- a/src/factorminer/factorminer/core/library_io.py +++ b/src/factorminer/factorminer/core/library_io.py @@ -14,7 +14,7 @@ from typing import Dict, List, Optional, Union import numpy as np -from factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/core/parser.py b/src/factorminer/factorminer/core/parser.py index 1f7d95a..c71554c 100644 --- a/src/factorminer/factorminer/core/parser.py +++ b/src/factorminer/factorminer/core/parser.py @@ -34,14 +34,14 @@ from dataclasses import dataclass from enum import Enum, auto from typing import Dict, List, Optional, Tuple -from factorminer.core.expression_tree import ( +from src.factorminer.factorminer.core.expression_tree import ( ConstantNode, ExpressionTree, LeafNode, Node, OperatorNode, ) -from factorminer.core.types import FEATURE_SET, OPERATOR_REGISTRY, OperatorSpec +from src.factorminer.factorminer.core.types import FEATURE_SET, OPERATOR_REGISTRY, OperatorSpec # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/core/ralph_loop.py b/src/factorminer/factorminer/core/ralph_loop.py index 62659ee..172af48 100644 --- a/src/factorminer/factorminer/core/ralph_loop.py +++ b/src/factorminer/factorminer/core/ralph_loop.py @@ -30,33 +30,33 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import save_library, load_library -from factorminer.core.provenance import build_factor_provenance, build_run_manifest -from factorminer.core.parser import try_parse -from factorminer.core.session import MiningSession -from factorminer.core.types import FEATURES -from factorminer.memory.experience_memory import ExperienceMemoryManager -from factorminer.memory.memory_store import ExperienceMemory -from factorminer.memory.retrieval import retrieve_memory -from factorminer.memory.formation import form_memory -from factorminer.memory.evolution import evolve_memory -from factorminer.agent.llm_interface import LLMProvider, MockProvider -from factorminer.agent.prompt_builder import PromptBuilder -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import save_library, load_library +from src.factorminer.factorminer.core.provenance import build_factor_provenance, build_run_manifest +from src.factorminer.factorminer.core.parser import try_parse +from src.factorminer.factorminer.core.session import MiningSession +from src.factorminer.factorminer.core.types import FEATURES +from src.factorminer.factorminer.memory.experience_memory import ExperienceMemoryManager +from src.factorminer.factorminer.memory.memory_store import ExperienceMemory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.formation import form_memory +from src.factorminer.factorminer.memory.evolution import evolve_memory +from src.factorminer.factorminer.agent.llm_interface import LLMProvider, MockProvider +from src.factorminer.factorminer.agent.prompt_builder import PromptBuilder +from src.factorminer.factorminer.evaluation.metrics import ( compute_factor_stats, compute_ic, compute_ic_mean, compute_ic_win_rate, compute_icir, ) -from factorminer.evaluation.research import ( +from src.factorminer.factorminer.evaluation.research import ( build_score_vector, compute_factor_geometry, passes_research_admission, ) -from factorminer.evaluation.runtime import SignalComputationError, compute_tree_signals -from factorminer.utils.logging import ( +from src.factorminer.factorminer.evaluation.runtime import SignalComputationError, compute_tree_signals +from src.factorminer.factorminer.utils.logging import ( IterationRecord, FactorRecord, MiningSessionLogger, diff --git a/src/factorminer/factorminer/data/__init__.py b/src/factorminer/factorminer/data/__init__.py index 3ea13f1..f06f07b 100644 --- a/src/factorminer/factorminer/data/__init__.py +++ b/src/factorminer/factorminer/data/__init__.py @@ -1,18 +1,18 @@ """FactorMiner data pipeline: loading, preprocessing, and tensor construction.""" -from factorminer.data.loader import ( +from src.factorminer.factorminer.data.loader import ( OHLCV_COLUMNS, REQUIRED_COLUMNS, load_market_data, load_multiple, to_numpy, ) -from factorminer.data.mock_data import ( +from src.factorminer.factorminer.data.mock_data import ( MockConfig, generate_mock_data, generate_with_halts, ) -from factorminer.data.preprocessor import ( +from src.factorminer.factorminer.data.preprocessor import ( PreprocessConfig, compute_derived_features, compute_returns, @@ -25,7 +25,7 @@ from factorminer.data.preprocessor import ( quality_check, winsorise, ) -from factorminer.data.tensor_builder import ( +from src.factorminer.factorminer.data.tensor_builder import ( DEFAULT_FEATURES, TargetSpec, TensorConfig, diff --git a/src/factorminer/factorminer/evaluation/__init__.py b/src/factorminer/factorminer/evaluation/__init__.py index 831ba87..7bc9f69 100644 --- a/src/factorminer/factorminer/evaluation/__init__.py +++ b/src/factorminer/factorminer/evaluation/__init__.py @@ -1,18 +1,18 @@ """Multi-stage factor evaluation and validation pipeline.""" -from factorminer.evaluation.admission import ( +from src.factorminer.factorminer.evaluation.admission import ( AdmissionDecision, StockThresholds, check_admission, check_replacement, ) -from factorminer.evaluation.correlation import ( +from src.factorminer.factorminer.evaluation.correlation import ( IncrementalCorrelationMatrix, batch_spearman_correlation, batch_spearman_pairwise, compute_correlation_batch, ) -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.evaluation.metrics import ( compute_factor_stats, compute_ic, compute_ic_mean, @@ -23,7 +23,7 @@ from factorminer.evaluation.metrics import ( compute_quintile_returns, compute_turnover, ) -from factorminer.evaluation.pipeline import ( +from src.factorminer.factorminer.evaluation.pipeline import ( CandidateFactor, EvaluationResult, FactorLibraryView, @@ -31,10 +31,10 @@ from factorminer.evaluation.pipeline import ( ValidationPipeline, run_evaluation_pipeline, ) -from factorminer.evaluation.combination import FactorCombiner -from factorminer.evaluation.selection import FactorSelector -from factorminer.evaluation.portfolio import PortfolioBacktester -from factorminer.evaluation.backtest import ( +from src.factorminer.factorminer.evaluation.combination import FactorCombiner +from src.factorminer.factorminer.evaluation.selection import FactorSelector +from src.factorminer.factorminer.evaluation.portfolio import PortfolioBacktester +from src.factorminer.factorminer.evaluation.backtest import ( SplitWindow, DrawdownResult, train_test_split, @@ -48,7 +48,7 @@ from factorminer.evaluation.backtest import ( compute_sharpe_ratio, compute_calmar_ratio, ) -from factorminer.evaluation.regime import ( +from src.factorminer.factorminer.evaluation.regime import ( MarketRegime, RegimeConfig, RegimeClassification, @@ -56,7 +56,7 @@ from factorminer.evaluation.regime import ( RegimeICResult, RegimeAwareEvaluator, ) -from factorminer.evaluation.capacity import ( +from src.factorminer.factorminer.evaluation.capacity import ( CapacityConfig, CapacityEstimate, CapacityEstimator, @@ -64,12 +64,12 @@ from factorminer.evaluation.capacity import ( MarketImpactModel, NetCostResult, ) -from factorminer.evaluation.causal import ( +from src.factorminer.factorminer.evaluation.causal import ( CausalConfig, CausalTestResult, CausalValidator, ) -from factorminer.evaluation.significance import ( +from src.factorminer.factorminer.evaluation.significance import ( BootstrapCIResult, BootstrapICTester, DeflatedSharpeCalculator, @@ -79,7 +79,7 @@ from factorminer.evaluation.significance import ( SignificanceConfig, check_significance, ) -from factorminer.evaluation.research import ( +from src.factorminer.factorminer.evaluation.research import ( FactorGeometryDiagnostics, FactorScoreVector, build_score_vector, diff --git a/src/factorminer/factorminer/evaluation/capacity.py b/src/factorminer/factorminer/evaluation/capacity.py index eb57c65..2047515 100644 --- a/src/factorminer/factorminer/evaluation/capacity.py +++ b/src/factorminer/factorminer/evaluation/capacity.py @@ -12,7 +12,7 @@ from typing import Dict, List, Optional import numpy as np -from factorminer.evaluation.metrics import compute_ic, compute_icir +from src.factorminer.factorminer.evaluation.metrics import compute_ic, compute_icir # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/evaluation/causal.py b/src/factorminer/factorminer/evaluation/causal.py index ce99d02..32d1715 100644 --- a/src/factorminer/factorminer/evaluation/causal.py +++ b/src/factorminer/factorminer/evaluation/causal.py @@ -22,7 +22,7 @@ from typing import Any, Dict, List, Optional, Tuple import numpy as np -from factorminer.evaluation.metrics import compute_ic +from src.factorminer.factorminer.evaluation.metrics import compute_ic logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/evaluation/pipeline.py b/src/factorminer/factorminer/evaluation/pipeline.py index c4f5f50..2392b0e 100644 --- a/src/factorminer/factorminer/evaluation/pipeline.py +++ b/src/factorminer/factorminer/evaluation/pipeline.py @@ -23,17 +23,17 @@ from typing import Any, Callable, Dict, List, Optional, Tuple import numpy as np -from factorminer.evaluation.admission import ( +from src.factorminer.factorminer.evaluation.admission import ( AdmissionDecision, check_admission, check_replacement, ) -from factorminer.evaluation.correlation import ( +from src.factorminer.factorminer.evaluation.correlation import ( batch_spearman_correlation, batch_spearman_pairwise, compute_correlation_batch, ) -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.evaluation.metrics import ( compute_factor_stats, compute_ic, compute_ic_mean, diff --git a/src/factorminer/factorminer/evaluation/research.py b/src/factorminer/factorminer/evaluation/research.py index d566a2a..e4152bc 100644 --- a/src/factorminer/factorminer/evaluation/research.py +++ b/src/factorminer/factorminer/evaluation/research.py @@ -7,12 +7,12 @@ from typing import Dict, Iterable, Sequence import numpy as np -from factorminer.evaluation.backtest import rolling_splits -from factorminer.evaluation.metrics import compute_factor_stats, compute_pairwise_correlation -from factorminer.evaluation.portfolio import PortfolioBacktester -from factorminer.evaluation.regime import RegimeAwareEvaluator, RegimeConfig, RegimeDetector -from factorminer.evaluation.selection import FactorSelector -from factorminer.evaluation.significance import BootstrapICTester, SignificanceConfig +from src.factorminer.factorminer.evaluation.backtest import rolling_splits +from src.factorminer.factorminer.evaluation.metrics import compute_factor_stats, compute_pairwise_correlation +from src.factorminer.factorminer.evaluation.portfolio import PortfolioBacktester +from src.factorminer.factorminer.evaluation.regime import RegimeAwareEvaluator, RegimeConfig, RegimeDetector +from src.factorminer.factorminer.evaluation.selection import FactorSelector +from src.factorminer.factorminer.evaluation.significance import BootstrapICTester, SignificanceConfig @dataclass diff --git a/src/factorminer/factorminer/evaluation/runtime.py b/src/factorminer/factorminer/evaluation/runtime.py index 0912074..9024238 100644 --- a/src/factorminer/factorminer/evaluation/runtime.py +++ b/src/factorminer/factorminer/evaluation/runtime.py @@ -10,10 +10,10 @@ from typing import Dict, Iterable, List, Optional, Sequence import numpy as np import pandas as pd -from factorminer.core.factor_library import Factor -from factorminer.core.parser import try_parse -from factorminer.data.tensor_builder import TargetSpec, compute_targets -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.core.factor_library import Factor +from src.factorminer.factorminer.core.parser import try_parse +from src.factorminer.factorminer.data.tensor_builder import TargetSpec, compute_targets +from src.factorminer.factorminer.evaluation.metrics import ( compute_factor_stats, compute_pairwise_correlation, ) diff --git a/src/factorminer/factorminer/memory/__init__.py b/src/factorminer/factorminer/memory/__init__.py index 3e5f53d..0dfe551 100644 --- a/src/factorminer/factorminer/memory/__init__.py +++ b/src/factorminer/factorminer/memory/__init__.py @@ -11,17 +11,17 @@ Phase 2 additions: - Enhanced Retrieval: KG + embedding augmented retrieval """ -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, StrategicInsight, SuccessPattern, ) -from factorminer.memory.formation import form_memory -from factorminer.memory.evolution import evolve_memory -from factorminer.memory.retrieval import retrieve_memory -from factorminer.memory.experience_memory import ExperienceMemoryManager +from src.factorminer.factorminer.memory.formation import form_memory +from src.factorminer.factorminer.memory.evolution import evolve_memory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.experience_memory import ExperienceMemoryManager # Phase 2: Optional imports (graceful if dependencies missing) try: diff --git a/src/factorminer/factorminer/memory/evolution.py b/src/factorminer/factorminer/memory/evolution.py index d2979b5..18ba05a 100644 --- a/src/factorminer/factorminer/memory/evolution.py +++ b/src/factorminer/factorminer/memory/evolution.py @@ -11,7 +11,7 @@ from __future__ import annotations from typing import Dict, List, Optional -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, diff --git a/src/factorminer/factorminer/memory/experience_memory.py b/src/factorminer/factorminer/memory/experience_memory.py index a63d168..04cfb71 100644 --- a/src/factorminer/factorminer/memory/experience_memory.py +++ b/src/factorminer/factorminer/memory/experience_memory.py @@ -15,16 +15,16 @@ import logging from pathlib import Path from typing import Any, Dict, List, Optional -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, StrategicInsight, SuccessPattern, ) -from factorminer.memory.formation import form_memory -from factorminer.memory.evolution import evolve_memory -from factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.formation import form_memory +from src.factorminer.factorminer.memory.evolution import evolve_memory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory # Optional Phase 2 imports try: diff --git a/src/factorminer/factorminer/memory/formation.py b/src/factorminer/factorminer/memory/formation.py index 8e2be66..3fc35f7 100644 --- a/src/factorminer/factorminer/memory/formation.py +++ b/src/factorminer/factorminer/memory/formation.py @@ -13,7 +13,7 @@ import re from collections import Counter, defaultdict from typing import Any, Dict, List, Optional, Tuple -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, diff --git a/src/factorminer/factorminer/memory/kg_retrieval.py b/src/factorminer/factorminer/memory/kg_retrieval.py index 740e7f6..5006091 100644 --- a/src/factorminer/factorminer/memory/kg_retrieval.py +++ b/src/factorminer/factorminer/memory/kg_retrieval.py @@ -4,8 +4,8 @@ from __future__ import annotations from typing import Any, Dict, List, Optional, Set, Tuple -from factorminer.memory.memory_store import ExperienceMemory -from factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.memory_store import ExperienceMemory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory # Optional imports -- presence checked at call time try: diff --git a/src/factorminer/factorminer/memory/online_regime_memory.py b/src/factorminer/factorminer/memory/online_regime_memory.py index e05a8cd..e8cf19a 100644 --- a/src/factorminer/factorminer/memory/online_regime_memory.py +++ b/src/factorminer/factorminer/memory/online_regime_memory.py @@ -42,18 +42,18 @@ from typing import Any, Dict, FrozenSet, List, Optional, Tuple import numpy as np -from factorminer.evaluation.regime import RegimeState, StreamingRegimeDetector, StreamingRegimeConfig -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.evaluation.regime import RegimeState, StreamingRegimeDetector, StreamingRegimeConfig +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, StrategicInsight, SuccessPattern, ) -from factorminer.memory.evolution import ( +from src.factorminer.factorminer.memory.evolution import ( apply_confidence_decay, bump_pattern_confidence, penalise_pattern_confidence, ) -from factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/memory/retrieval.py b/src/factorminer/factorminer/memory/retrieval.py index ee6cf12..2fd8519 100644 --- a/src/factorminer/factorminer/memory/retrieval.py +++ b/src/factorminer/factorminer/memory/retrieval.py @@ -11,7 +11,7 @@ from __future__ import annotations from typing import Any, Dict, List, Optional -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, diff --git a/src/factorminer/factorminer/operators/__init__.py b/src/factorminer/factorminer/operators/__init__.py index b749efa..75b9f56 100644 --- a/src/factorminer/factorminer/operators/__init__.py +++ b/src/factorminer/factorminer/operators/__init__.py @@ -3,7 +3,7 @@ Exports the central registry and all operator category modules. """ -from factorminer.operators.registry import ( +from src.factorminer.factorminer.operators.registry import ( OPERATOR_REGISTRY, execute_operator, get_impl, @@ -11,7 +11,7 @@ from factorminer.operators.registry import ( implemented_operators, list_operators, ) -from factorminer.operators.gpu_backend import ( +from src.factorminer.factorminer.operators.gpu_backend import ( DeviceManager, batch_execute, device_manager, @@ -19,12 +19,12 @@ from factorminer.operators.gpu_backend import ( to_tensor, torch_available, ) -from factorminer.operators.auto_inventor import ( +from src.factorminer.factorminer.operators.auto_inventor import ( OperatorInventor, ProposedOperator, ValidationResult, ) -from factorminer.operators.custom import ( +from src.factorminer.factorminer.operators.custom import ( CustomOperator, CustomOperatorStore, ) diff --git a/src/factorminer/factorminer/operators/auto_inventor.py b/src/factorminer/factorminer/operators/auto_inventor.py index 15b52db..41f90e1 100644 --- a/src/factorminer/factorminer/operators/auto_inventor.py +++ b/src/factorminer/factorminer/operators/auto_inventor.py @@ -15,8 +15,8 @@ from typing import Any, Callable, Dict, List, Optional, Tuple import numpy as np -from factorminer.agent.llm_interface import LLMProvider -from factorminer.core.types import OPERATOR_REGISTRY, OperatorSpec +from src.factorminer.factorminer.agent.llm_interface import LLMProvider +from src.factorminer.factorminer.core.types import OPERATOR_REGISTRY, OperatorSpec logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/operators/custom.py b/src/factorminer/factorminer/operators/custom.py index b7459dd..ba93b78 100644 --- a/src/factorminer/factorminer/operators/custom.py +++ b/src/factorminer/factorminer/operators/custom.py @@ -16,13 +16,13 @@ from typing import Any, Callable, Dict, List, Optional, Tuple import numpy as np -from factorminer.core.types import ( +from src.factorminer.factorminer.core.types import ( OPERATOR_REGISTRY as SPEC_REGISTRY, OperatorSpec, OperatorType, SignatureType, ) -from factorminer.operators.registry import OPERATOR_REGISTRY as RUNTIME_REGISTRY +from src.factorminer.factorminer.operators.registry import OPERATOR_REGISTRY as RUNTIME_REGISTRY logger = logging.getLogger(__name__) diff --git a/src/factorminer/factorminer/operators/registry.py b/src/factorminer/factorminer/operators/registry.py index 36329d5..ca9cff7 100644 --- a/src/factorminer/factorminer/operators/registry.py +++ b/src/factorminer/factorminer/operators/registry.py @@ -10,16 +10,16 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np -from factorminer.core.types import OPERATOR_REGISTRY as SPEC_REGISTRY -from factorminer.core.types import OperatorSpec, OperatorType +from src.factorminer.factorminer.core.types import OPERATOR_REGISTRY as SPEC_REGISTRY +from src.factorminer.factorminer.core.types import OperatorSpec, OperatorType -from factorminer.operators.arithmetic import ARITHMETIC_OPS -from factorminer.operators.statistical import STATISTICAL_OPS -from factorminer.operators.timeseries import TIMESERIES_OPS -from factorminer.operators.crosssectional import CROSSSECTIONAL_OPS -from factorminer.operators.smoothing import SMOOTHING_OPS -from factorminer.operators.regression import REGRESSION_OPS -from factorminer.operators.logical import LOGICAL_OPS +from src.factorminer.factorminer.operators.arithmetic import ARITHMETIC_OPS +from src.factorminer.factorminer.operators.statistical import STATISTICAL_OPS +from src.factorminer.factorminer.operators.timeseries import TIMESERIES_OPS +from src.factorminer.factorminer.operators.crosssectional import CROSSSECTIONAL_OPS +from src.factorminer.factorminer.operators.smoothing import SMOOTHING_OPS +from src.factorminer.factorminer.operators.regression import REGRESSION_OPS +from src.factorminer.factorminer.operators.logical import LOGICAL_OPS try: import torch diff --git a/src/factorminer/factorminer/tests/conftest.py b/src/factorminer/factorminer/tests/conftest.py index 01e1dae..2a6791a 100644 --- a/src/factorminer/factorminer/tests/conftest.py +++ b/src/factorminer/factorminer/tests/conftest.py @@ -5,8 +5,8 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.memory.experience_memory import ExperienceMemoryManager +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.memory.experience_memory import ExperienceMemoryManager # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_auto_inventor.py b/src/factorminer/factorminer/tests/test_auto_inventor.py index 0592069..76dead4 100644 --- a/src/factorminer/factorminer/tests/test_auto_inventor.py +++ b/src/factorminer/factorminer/tests/test_auto_inventor.py @@ -5,12 +5,12 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.operators.auto_inventor import ( +from src.factorminer.factorminer.operators.auto_inventor import ( OperatorInventor, ProposedOperator, _BLOCKED_TOKENS, ) -from factorminer.operators.custom import CustomOperatorStore +from src.factorminer.factorminer.operators.custom import CustomOperatorStore # ----------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_benchmark.py b/src/factorminer/factorminer/tests/test_benchmark.py index 2b9bb3c..f6cd1a8 100644 --- a/src/factorminer/factorminer/tests/test_benchmark.py +++ b/src/factorminer/factorminer/tests/test_benchmark.py @@ -8,18 +8,18 @@ from types import SimpleNamespace from click.testing import CliRunner import numpy as np -from factorminer.benchmark.runtime import ( +from src.factorminer.factorminer.benchmark.runtime import ( build_benchmark_library, run_table1_benchmark, select_frozen_top_k, ) -from factorminer.benchmark.helix_benchmark import StatisticalComparisonTests, _json_safe -from factorminer.cli import main -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import save_library -from factorminer.core.session import MiningSession -from factorminer.evaluation.runtime import FactorEvaluationArtifact -from factorminer.utils.config import load_config +from src.factorminer.factorminer.benchmark.helix_benchmark import StatisticalComparisonTests, _json_safe +from src.factorminer.factorminer.cli import main +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import save_library +from src.factorminer.factorminer.core.session import MiningSession +from src.factorminer.factorminer.evaluation.runtime import FactorEvaluationArtifact +from src.factorminer.factorminer.utils.config import load_config from run_phase2_benchmark import ( _build_phase2_manifest, _collect_runtime_manifest_refs, @@ -127,7 +127,7 @@ def test_benchmark_table1_cli_invokes_runtime(monkeypatch, tmp_path): } } - monkeypatch.setattr("factorminer.benchmark.runtime.run_table1_benchmark", _fake_run) + monkeypatch.setattr("src.factorminer.factorminer.benchmark.runtime.run_table1_benchmark", _fake_run) runner = CliRunner() result = runner.invoke( @@ -193,15 +193,15 @@ def test_table1_manifest_includes_saved_library_provenance(monkeypatch, tmp_path artifact = _artifact(1, "Neg($close)", 0.07, 0.8, 1.0) monkeypatch.setattr( - "factorminer.benchmark.runtime.load_benchmark_dataset", + "src.factorminer.factorminer.benchmark.runtime.load_benchmark_dataset", lambda *args, **kwargs: (SimpleNamespace(), "freeze-hash"), ) monkeypatch.setattr( - "factorminer.benchmark.runtime.evaluate_factors", + "src.factorminer.factorminer.benchmark.runtime.evaluate_factors", lambda *args, **kwargs: [artifact], ) monkeypatch.setattr( - "factorminer.benchmark.runtime.evaluate_frozen_set", + "src.factorminer.factorminer.benchmark.runtime.evaluate_frozen_set", lambda frozen, dataset, **kwargs: { "factor_count": len(frozen), "library": {"ic": 0.1, "icir": 1.0, "avg_abs_rho": 0.2}, @@ -402,19 +402,19 @@ def test_table1_runtime_methods_instantiate_live_loops(monkeypatch, tmp_path): calls = [] monkeypatch.setattr( - "factorminer.benchmark.runtime.load_benchmark_dataset", + "src.factorminer.factorminer.benchmark.runtime.load_benchmark_dataset", lambda *args, **kwargs: (_runtime_dataset_stub(), "dataset-hash"), ) monkeypatch.setattr( - "factorminer.benchmark.runtime._get_baseline_entries", + "src.factorminer.factorminer.benchmark.runtime._get_baseline_entries", lambda *args, **kwargs: (_ for _ in ()).throw(AssertionError("catalog fallback used")), ) monkeypatch.setattr( - "factorminer.benchmark.runtime.evaluate_factors", + "src.factorminer.factorminer.benchmark.runtime.evaluate_factors", lambda *args, **kwargs: [_artifact(1, "Neg($close)", 0.08, 0.9, 1.0)], ) monkeypatch.setattr( - "factorminer.benchmark.runtime.evaluate_frozen_set", + "src.factorminer.factorminer.benchmark.runtime.evaluate_frozen_set", lambda frozen, dataset, **kwargs: { "factor_count": len(frozen), "library": {"ic": 0.1, "icir": 1.0, "avg_abs_rho": 0.2}, @@ -434,8 +434,8 @@ def test_table1_runtime_methods_instantiate_live_loops(monkeypatch, tmp_path): calls.append("helix") return _single_factor_library() - monkeypatch.setattr("factorminer.core.ralph_loop.RalphLoop.run", _fake_ralph_run) - monkeypatch.setattr("factorminer.core.helix_loop.HelixLoop.run", _fake_helix_run) + monkeypatch.setattr("src.factorminer.factorminer.core.ralph_loop.RalphLoop.run", _fake_ralph_run) + monkeypatch.setattr("src.factorminer.factorminer.core.helix_loop.HelixLoop.run", _fake_helix_run) payload = run_table1_benchmark( cfg, @@ -455,7 +455,7 @@ def test_table1_runtime_methods_fail_loudly_without_catalog_fallback(monkeypatch fallback_called = {"value": False} monkeypatch.setattr( - "factorminer.benchmark.runtime.load_benchmark_dataset", + "src.factorminer.factorminer.benchmark.runtime.load_benchmark_dataset", lambda *args, **kwargs: (_runtime_dataset_stub(), "dataset-hash"), ) @@ -463,9 +463,9 @@ def test_table1_runtime_methods_fail_loudly_without_catalog_fallback(monkeypatch fallback_called["value"] = True raise AssertionError("catalog fallback used") - monkeypatch.setattr("factorminer.benchmark.runtime._get_baseline_entries", _forbidden_catalog) + monkeypatch.setattr("src.factorminer.factorminer.benchmark.runtime._get_baseline_entries", _forbidden_catalog) monkeypatch.setattr( - "factorminer.benchmark.runtime._run_runtime_mining_loop", + "src.factorminer.factorminer.benchmark.runtime._run_runtime_mining_loop", lambda *args, **kwargs: (_ for _ in ()).throw(RuntimeError("runtime loop failed")), ) diff --git a/src/factorminer/factorminer/tests/test_canonicalizer.py b/src/factorminer/factorminer/tests/test_canonicalizer.py index 6a22f4b..d680b2b 100644 --- a/src/factorminer/factorminer/tests/test_canonicalizer.py +++ b/src/factorminer/factorminer/tests/test_canonicalizer.py @@ -6,8 +6,8 @@ import time import pytest -from factorminer.core.canonicalizer import FormulaCanonicalizer -from factorminer.core.parser import parse +from src.factorminer.factorminer.core.canonicalizer import FormulaCanonicalizer +from src.factorminer.factorminer.core.parser import parse @pytest.fixture diff --git a/src/factorminer/factorminer/tests/test_capacity.py b/src/factorminer/factorminer/tests/test_capacity.py index 0e51ffa..0d5fd3a 100644 --- a/src/factorminer/factorminer/tests/test_capacity.py +++ b/src/factorminer/factorminer/tests/test_capacity.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.capacity import ( +from src.factorminer.factorminer.evaluation.capacity import ( CapacityConfig, CapacityEstimator, MarketImpactModel, diff --git a/src/factorminer/factorminer/tests/test_causal.py b/src/factorminer/factorminer/tests/test_causal.py index 1b1ef99..0f03278 100644 --- a/src/factorminer/factorminer/tests/test_causal.py +++ b/src/factorminer/factorminer/tests/test_causal.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.causal import CausalConfig, CausalTestResult, CausalValidator +from src.factorminer.factorminer.evaluation.causal import CausalConfig, CausalTestResult, CausalValidator @pytest.fixture diff --git a/src/factorminer/factorminer/tests/test_cli_analysis.py b/src/factorminer/factorminer/tests/test_cli_analysis.py index 05e993f..33c2c5c 100644 --- a/src/factorminer/factorminer/tests/test_cli_analysis.py +++ b/src/factorminer/factorminer/tests/test_cli_analysis.py @@ -7,10 +7,10 @@ from dataclasses import dataclass from click.testing import CliRunner import numpy as np -from factorminer.cli import main -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import save_library -from factorminer.evaluation.runtime import DatasetSplit, FactorEvaluationArtifact +from src.factorminer.factorminer.cli import main +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import save_library +from src.factorminer.factorminer.evaluation.runtime import DatasetSplit, FactorEvaluationArtifact @dataclass @@ -160,11 +160,11 @@ def test_evaluate_recomputes_and_selects_top_k_by_train_split(tmp_path, monkeypa ] monkeypatch.setattr( - "factorminer.cli._load_runtime_dataset_for_analysis", + "src.factorminer.factorminer.cli._load_runtime_dataset_for_analysis", lambda cfg, data_path, mock: dataset, ) monkeypatch.setattr( - "factorminer.cli._recompute_analysis_artifacts", + "src.factorminer.factorminer.cli._recompute_analysis_artifacts", lambda library, dataset_arg, signal_failure_policy: artifacts, ) @@ -205,11 +205,11 @@ def test_combine_uses_fit_split_for_factor_preselection(tmp_path, monkeypatch): captured_factor_ids: list[int] = [] monkeypatch.setattr( - "factorminer.cli._load_runtime_dataset_for_analysis", + "src.factorminer.factorminer.cli._load_runtime_dataset_for_analysis", lambda cfg, data_path, mock: dataset, ) monkeypatch.setattr( - "factorminer.cli._recompute_analysis_artifacts", + "src.factorminer.factorminer.cli._recompute_analysis_artifacts", lambda library, dataset_arg, signal_failure_policy: artifacts, ) @@ -218,11 +218,11 @@ def test_combine_uses_fit_split_for_factor_preselection(tmp_path, monkeypatch): return next(iter(factor_signals.values())) monkeypatch.setattr( - "factorminer.evaluation.combination.FactorCombiner.equal_weight", + "src.factorminer.factorminer.evaluation.combination.FactorCombiner.equal_weight", _capture_equal_weight, ) monkeypatch.setattr( - "factorminer.evaluation.portfolio.PortfolioBacktester.quintile_backtest", + "src.factorminer.factorminer.evaluation.portfolio.PortfolioBacktester.quintile_backtest", lambda self, combined_signal, returns, transaction_cost_bps=0: { "ic_mean": 0.12, "icir": 1.23, @@ -272,19 +272,19 @@ def test_visualize_defaults_factor_specific_plots_to_split_top_factor(tmp_path, quintile_paths: list[str] = [] monkeypatch.setattr( - "factorminer.cli._load_runtime_dataset_for_analysis", + "src.factorminer.factorminer.cli._load_runtime_dataset_for_analysis", lambda cfg, data_path, mock: dataset, ) monkeypatch.setattr( - "factorminer.cli._recompute_analysis_artifacts", + "src.factorminer.factorminer.cli._recompute_analysis_artifacts", lambda library, dataset_arg, signal_failure_policy: artifacts, ) monkeypatch.setattr( - "factorminer.utils.visualization.plot_ic_timeseries", + "src.factorminer.factorminer.utils.visualization.plot_ic_timeseries", lambda ic_series, dates, rolling_window=21, title="", save_path=None: ic_paths.append(save_path), ) monkeypatch.setattr( - "factorminer.utils.visualization.plot_quintile_returns", + "src.factorminer.factorminer.utils.visualization.plot_quintile_returns", lambda quintile_returns, title="", save_path=None: quintile_paths.append(save_path), ) diff --git a/src/factorminer/factorminer/tests/test_cli_helix.py b/src/factorminer/factorminer/tests/test_cli_helix.py index 530e7b2..761a1dc 100644 --- a/src/factorminer/factorminer/tests/test_cli_helix.py +++ b/src/factorminer/factorminer/tests/test_cli_helix.py @@ -8,8 +8,8 @@ from click.testing import CliRunner import numpy as np import pandas as pd -from factorminer.cli import _build_core_mining_config, _prepare_data_arrays, main -from factorminer.utils.config import load_config +from src.factorminer.factorminer.cli import _build_core_mining_config, _prepare_data_arrays, main +from src.factorminer.factorminer.utils.config import load_config def test_helix_cli_runs_with_mock_data(tmp_path): diff --git a/src/factorminer/factorminer/tests/test_combination.py b/src/factorminer/factorminer/tests/test_combination.py index a0be749..ebf2d8f 100644 --- a/src/factorminer/factorminer/tests/test_combination.py +++ b/src/factorminer/factorminer/tests/test_combination.py @@ -5,8 +5,8 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.combination import FactorCombiner -from factorminer.evaluation.selection import FactorSelector +from src.factorminer.factorminer.evaluation.combination import FactorCombiner +from src.factorminer.factorminer.evaluation.selection import FactorSelector # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_data.py b/src/factorminer/factorminer/tests/test_data.py index 098b011..a294f41 100644 --- a/src/factorminer/factorminer/tests/test_data.py +++ b/src/factorminer/factorminer/tests/test_data.py @@ -6,8 +6,8 @@ import numpy as np import pandas as pd import pytest -from factorminer.data.loader import load_market_data -from factorminer.data.mock_data import MockConfig, generate_mock_data, generate_with_halts +from src.factorminer.factorminer.data.loader import load_market_data +from src.factorminer.factorminer.data.mock_data import MockConfig, generate_mock_data, generate_with_halts # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_debate.py b/src/factorminer/factorminer/tests/test_debate.py index 88e594f..e6fee03 100644 --- a/src/factorminer/factorminer/tests/test_debate.py +++ b/src/factorminer/factorminer/tests/test_debate.py @@ -4,12 +4,12 @@ from __future__ import annotations import pytest -from factorminer.agent.critic import CriticAgent -from factorminer.agent.debate import DebateConfig, DebateGenerator -from factorminer.agent.llm_interface import MockProvider -from factorminer.agent.output_parser import CandidateFactor -from factorminer.agent.prompt_builder import PromptBuilder -from factorminer.agent.specialists import ( +from src.factorminer.factorminer.agent.critic import CriticAgent +from src.factorminer.factorminer.agent.debate import DebateConfig, DebateGenerator +from src.factorminer.factorminer.agent.llm_interface import MockProvider +from src.factorminer.factorminer.agent.output_parser import CandidateFactor +from src.factorminer.factorminer.agent.prompt_builder import PromptBuilder +from src.factorminer.factorminer.agent.specialists import ( SpecialistConfig, SpecialistPromptBuilder, ) diff --git a/src/factorminer/factorminer/tests/test_evaluation.py b/src/factorminer/factorminer/tests/test_evaluation.py index edb1f00..0030398 100644 --- a/src/factorminer/factorminer/tests/test_evaluation.py +++ b/src/factorminer/factorminer/tests/test_evaluation.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.evaluation.metrics import ( compute_factor_stats, compute_ic, compute_ic_mean, diff --git a/src/factorminer/factorminer/tests/test_expression_tree.py b/src/factorminer/factorminer/tests/test_expression_tree.py index c4b1ea6..1462bb7 100644 --- a/src/factorminer/factorminer/tests/test_expression_tree.py +++ b/src/factorminer/factorminer/tests/test_expression_tree.py @@ -5,14 +5,14 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.core.parser import parse, try_parse, tokenize -from factorminer.core.expression_tree import ( +from src.factorminer.factorminer.core.parser import parse, try_parse, tokenize +from src.factorminer.factorminer.core.expression_tree import ( ConstantNode, ExpressionTree, LeafNode, OperatorNode, ) -from factorminer.core.types import OPERATOR_REGISTRY, get_operator +from src.factorminer.factorminer.core.types import OPERATOR_REGISTRY, get_operator # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_helix_loop.py b/src/factorminer/factorminer/tests/test_helix_loop.py index 5077201..54ffe10 100644 --- a/src/factorminer/factorminer/tests/test_helix_loop.py +++ b/src/factorminer/factorminer/tests/test_helix_loop.py @@ -11,10 +11,10 @@ try: except ImportError: HAS_HELIX = False -from factorminer.agent.llm_interface import MockProvider -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.config import MiningConfig -from factorminer.core.ralph_loop import EvaluationResult +from src.factorminer.factorminer.agent.llm_interface import MockProvider +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.config import MiningConfig +from src.factorminer.factorminer.core.ralph_loop import EvaluationResult pytestmark = pytest.mark.skipif(not HAS_HELIX, reason="helix_loop not yet built") diff --git a/src/factorminer/factorminer/tests/test_knowledge_graph.py b/src/factorminer/factorminer/tests/test_knowledge_graph.py index 23c0574..adce2db 100644 --- a/src/factorminer/factorminer/tests/test_knowledge_graph.py +++ b/src/factorminer/factorminer/tests/test_knowledge_graph.py @@ -4,7 +4,7 @@ from __future__ import annotations import pytest -from factorminer.memory.knowledge_graph import ( +from src.factorminer.factorminer.memory.knowledge_graph import ( EdgeType, FactorKnowledgeGraph, FactorNode, diff --git a/src/factorminer/factorminer/tests/test_library.py b/src/factorminer/factorminer/tests/test_library.py index b3602f7..bc9eab9 100644 --- a/src/factorminer/factorminer/tests/test_library.py +++ b/src/factorminer/factorminer/tests/test_library.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_memory.py b/src/factorminer/factorminer/tests/test_memory.py index 7d28dbf..6e75676 100644 --- a/src/factorminer/factorminer/tests/test_memory.py +++ b/src/factorminer/factorminer/tests/test_memory.py @@ -8,20 +8,20 @@ from pathlib import Path import pytest -from factorminer.memory.experience_memory import ExperienceMemoryManager -from factorminer.memory.embeddings import FormulaEmbedder -from factorminer.memory.kg_retrieval import retrieve_memory_enhanced -from factorminer.memory.knowledge_graph import FactorKnowledgeGraph, FactorNode -from factorminer.memory.memory_store import ( +from src.factorminer.factorminer.memory.experience_memory import ExperienceMemoryManager +from src.factorminer.factorminer.memory.embeddings import FormulaEmbedder +from src.factorminer.factorminer.memory.kg_retrieval import retrieve_memory_enhanced +from src.factorminer.factorminer.memory.knowledge_graph import FactorKnowledgeGraph, FactorNode +from src.factorminer.factorminer.memory.memory_store import ( ExperienceMemory, ForbiddenDirection, MiningState, StrategicInsight, SuccessPattern, ) -from factorminer.memory.formation import form_memory -from factorminer.memory.evolution import evolve_memory -from factorminer.memory.retrieval import retrieve_memory +from src.factorminer.factorminer.memory.formation import form_memory +from src.factorminer.factorminer.memory.evolution import evolve_memory +from src.factorminer.factorminer.memory.retrieval import retrieve_memory # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_operators.py b/src/factorminer/factorminer/tests/test_operators.py index 3c272f1..7a23e22 100644 --- a/src/factorminer/factorminer/tests/test_operators.py +++ b/src/factorminer/factorminer/tests/test_operators.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.operators.registry import execute_operator, get_operator, list_operators, implemented_operators +from src.factorminer.factorminer.operators.registry import execute_operator, get_operator, list_operators, implemented_operators # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_provenance.py b/src/factorminer/factorminer/tests/test_provenance.py index d292608..fa4f326 100644 --- a/src/factorminer/factorminer/tests/test_provenance.py +++ b/src/factorminer/factorminer/tests/test_provenance.py @@ -6,13 +6,13 @@ import json import numpy as np -from factorminer.agent.llm_interface import MockProvider -from factorminer.core.factor_library import Factor -from factorminer.core.library_io import load_library -from factorminer.core.config import MiningConfig -from factorminer.core.helix_loop import HelixLoop -from factorminer.core.ralph_loop import EvaluationResult -from factorminer.core.session import MiningSession +from src.factorminer.factorminer.agent.llm_interface import MockProvider +from src.factorminer.factorminer.core.factor_library import Factor +from src.factorminer.factorminer.core.library_io import load_library +from src.factorminer.factorminer.core.config import MiningConfig +from src.factorminer.factorminer.core.helix_loop import HelixLoop +from src.factorminer.factorminer.core.ralph_loop import EvaluationResult +from src.factorminer.factorminer.core.session import MiningSession def test_factor_provenance_roundtrip(): diff --git a/src/factorminer/factorminer/tests/test_ralph_loop.py b/src/factorminer/factorminer/tests/test_ralph_loop.py index e775ef3..dd75da1 100644 --- a/src/factorminer/factorminer/tests/test_ralph_loop.py +++ b/src/factorminer/factorminer/tests/test_ralph_loop.py @@ -23,9 +23,9 @@ from typing import Any, Dict, Optional import numpy as np import pytest -from factorminer.agent.llm_interface import MockProvider -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.ralph_loop import ( +from src.factorminer.factorminer.agent.llm_interface import MockProvider +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.ralph_loop import ( BudgetTracker, EvaluationResult, FactorGenerator, @@ -33,7 +33,7 @@ from factorminer.core.ralph_loop import ( RalphLoop, ValidationPipeline, ) -from factorminer.memory.memory_store import ExperienceMemory +from src.factorminer.factorminer.memory.memory_store import ExperienceMemory # --------------------------------------------------------------------------- diff --git a/src/factorminer/factorminer/tests/test_regime.py b/src/factorminer/factorminer/tests/test_regime.py index 21d1d6b..0a4833e 100644 --- a/src/factorminer/factorminer/tests/test_regime.py +++ b/src/factorminer/factorminer/tests/test_regime.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.regime import ( +from src.factorminer.factorminer.evaluation.regime import ( MarketRegime, RegimeAwareEvaluator, RegimeConfig, diff --git a/src/factorminer/factorminer/tests/test_research.py b/src/factorminer/factorminer/tests/test_research.py index 705e804..a404a4f 100644 --- a/src/factorminer/factorminer/tests/test_research.py +++ b/src/factorminer/factorminer/tests/test_research.py @@ -8,17 +8,17 @@ import numpy as np import pandas as pd import pytest -from factorminer.core.factor_library import Factor -from factorminer.data.tensor_builder import TargetSpec, compute_targets -from factorminer.evaluation.portfolio import PortfolioBacktester -from factorminer.evaluation.research import ( +from src.factorminer.factorminer.core.factor_library import Factor +from src.factorminer.factorminer.data.tensor_builder import TargetSpec, compute_targets +from src.factorminer.factorminer.evaluation.portfolio import PortfolioBacktester +from src.factorminer.factorminer.evaluation.research import ( FactorGeometryDiagnostics, build_score_vector, passes_research_admission, run_research_model_suite, ) -from factorminer.evaluation.runtime import DatasetSplit, EvaluationDataset, evaluate_factors -from factorminer.utils.config import load_config +from src.factorminer.factorminer.evaluation.runtime import DatasetSplit, EvaluationDataset, evaluate_factors +from src.factorminer.factorminer.utils.config import load_config def test_compute_targets_supports_multiple_horizons(): diff --git a/src/factorminer/factorminer/tests/test_runtime_analysis.py b/src/factorminer/factorminer/tests/test_runtime_analysis.py index ff66dd2..440dfb8 100644 --- a/src/factorminer/factorminer/tests/test_runtime_analysis.py +++ b/src/factorminer/factorminer/tests/test_runtime_analysis.py @@ -9,10 +9,10 @@ import numpy as np import pandas as pd import pytest -from factorminer.core.factor_library import Factor -from factorminer.core.parser import try_parse -from factorminer.evaluation.metrics import compute_factor_stats -from factorminer.evaluation.runtime import ( +from src.factorminer.factorminer.core.factor_library import Factor +from src.factorminer.factorminer.core.parser import try_parse +from src.factorminer.factorminer.evaluation.metrics import compute_factor_stats +from src.factorminer.factorminer.evaluation.runtime import ( DatasetSplit, EvaluationDataset, SignalComputationError, diff --git a/src/factorminer/factorminer/tests/test_significance.py b/src/factorminer/factorminer/tests/test_significance.py index 2f1dc30..e4afd1d 100644 --- a/src/factorminer/factorminer/tests/test_significance.py +++ b/src/factorminer/factorminer/tests/test_significance.py @@ -5,7 +5,7 @@ from __future__ import annotations import numpy as np import pytest -from factorminer.evaluation.significance import ( +from src.factorminer.factorminer.evaluation.significance import ( BootstrapCIResult, BootstrapICTester, DeflatedSharpeCalculator, diff --git a/src/factorminer/factorminer/utils/__init__.py b/src/factorminer/factorminer/utils/__init__.py index bd89a35..f4982d8 100644 --- a/src/factorminer/factorminer/utils/__init__.py +++ b/src/factorminer/factorminer/utils/__init__.py @@ -1,6 +1,6 @@ """Utility modules for FactorMiner.""" -from factorminer.utils.config import ( +from src.factorminer.factorminer.utils.config import ( AutoInventorConfig, CapacityConfig, CausalConfig, @@ -13,9 +13,9 @@ from factorminer.utils.config import ( SignificanceConfig, load_config, ) -from factorminer.utils.reporting import MiningReporter -from factorminer.utils.tearsheet import FactorTearSheet -from factorminer.utils.visualization import ( +from src.factorminer.factorminer.utils.reporting import MiningReporter +from src.factorminer.factorminer.utils.tearsheet import FactorTearSheet +from src.factorminer.factorminer.utils.visualization import ( plot_ablation_comparison, plot_correlation_heatmap, plot_cost_pressure, diff --git a/src/factorminer/factorminer/utils/config.py b/src/factorminer/factorminer/utils/config.py index 3be65cb..c0c8640 100644 --- a/src/factorminer/factorminer/utils/config.py +++ b/src/factorminer/factorminer/utils/config.py @@ -9,7 +9,7 @@ from typing import Any import yaml -from factorminer.configs import DEFAULT_CONFIG_PATH +from src.factorminer.factorminer.configs import DEFAULT_CONFIG_PATH @dataclass diff --git a/src/factorminer/factorminer/utils/tearsheet.py b/src/factorminer/factorminer/utils/tearsheet.py index 54caa36..8371d85 100644 --- a/src/factorminer/factorminer/utils/tearsheet.py +++ b/src/factorminer/factorminer/utils/tearsheet.py @@ -15,7 +15,7 @@ import numpy as np import pandas as pd from scipy.stats import rankdata -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.evaluation.metrics import ( compute_ic, compute_icir, compute_ic_mean, diff --git a/src/factorminer/pyproject.toml b/src/factorminer/pyproject.toml deleted file mode 100644 index b6c0875..0000000 --- a/src/factorminer/pyproject.toml +++ /dev/null @@ -1,106 +0,0 @@ -[build-system] -requires = ["setuptools>=68.0", "wheel"] -build-backend = "setuptools.build_meta" - -[project] -name = "factorminer" -version = "0.1.0" -description = "LLM-powered quantitative factor mining with evolutionary search" -readme = "README.md" -license = "MIT" -requires-python = ">=3.10" -authors = [ - {name = "FactorMiner Team"}, -] -keywords = ["quantitative-finance", "factor-mining", "llm", "alpha-research"] -classifiers = [ - "Development Status :: 3 - Alpha", - "Intended Audience :: Financial and Insurance Industry", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", - "Programming Language :: Python :: 3.12", - "Topic :: Office/Business :: Financial :: Investment", -] - -dependencies = [ - "numpy>=1.24", - "pandas>=2.0", - "scipy>=1.11", - "torch>=2.0", - "scikit-learn>=1.3", - "xgboost>=2.0", - "pyyaml>=6.0", - "click>=8.0", - "matplotlib>=3.7", - "seaborn>=0.12", - "tqdm>=4.65", - "statsmodels>=0.14.0", - "sympy>=1.13", - "networkx>=3.0", -] - -[project.optional-dependencies] -gpu = [ - "cupy-cuda12x; platform_system == 'Linux'", -] -llm = [ - "openai", - "anthropic", - "google-generativeai", - "sentence-transformers>=2.0", - "faiss-cpu>=1.7", -] -dev = [ - "pytest>=7.0", - "pytest-cov", - "ruff", - "mypy", -] -all = [ - "cupy-cuda12x; platform_system == 'Linux'", - "openai", - "anthropic", - "google-generativeai", - "sentence-transformers>=2.0", - "faiss-cpu>=1.7", - "pytest>=7.0", - "pytest-cov", - "ruff", - "mypy", -] - -[dependency-groups] -dev = [ - "pytest>=7.0", - "pytest-cov", - "ruff", - "mypy", -] - -[project.scripts] -factorminer = "factorminer.cli:main" - -[project.urls] -Homepage = "https://github.com/minihellboy/factorminer" -Repository = "https://github.com/minihellboy/factorminer" -Issues = "https://github.com/minihellboy/factorminer/issues" - -[tool.setuptools.packages.find] -include = ["factorminer*"] - -[tool.ruff] -line-length = 100 -target-version = "py310" - -[tool.ruff.lint] -select = ["E", "F", "W", "I", "N", "UP"] - -[tool.pytest.ini_options] -testpaths = ["factorminer/tests"] -addopts = "-v --tb=short" - -[tool.mypy] -python_version = "3.10" -warn_return_any = true -warn_unused_configs = true diff --git a/src/factorminer/run_demo.py b/src/factorminer/run_demo.py index 4e67c48..f9b2354 100644 --- a/src/factorminer/run_demo.py +++ b/src/factorminer/run_demo.py @@ -20,17 +20,17 @@ sys.path.insert(0, ".") import numpy as np np.random.seed(42) -from factorminer.data.mock_data import generate_mock_data, MockConfig -from factorminer.data.preprocessor import preprocess -from factorminer.core.parser import parse, try_parse -from factorminer.core.factor_library import Factor, FactorLibrary -from factorminer.core.library_io import PAPER_FACTORS -from factorminer.evaluation.metrics import ( +from src.factorminer.factorminer.data.mock_data import generate_mock_data, MockConfig +from src.factorminer.factorminer.data.preprocessor import preprocess +from src.factorminer.factorminer.core.parser import parse, try_parse +from src.factorminer.factorminer.core.factor_library import Factor, FactorLibrary +from src.factorminer.factorminer.core.library_io import PAPER_FACTORS +from src.factorminer.factorminer.evaluation.metrics import ( compute_ic, compute_icir, compute_ic_mean, compute_ic_win_rate, compute_factor_stats, ) -from factorminer.evaluation.combination import FactorCombiner -from factorminer.evaluation.selection import FactorSelector +from src.factorminer.factorminer.evaluation.combination import FactorCombiner +from src.factorminer.factorminer.evaluation.selection import FactorSelector def section(title): diff --git a/src/factorminer/run_phase2_benchmark.py b/src/factorminer/run_phase2_benchmark.py index 8b6a98a..d515ac0 100644 --- a/src/factorminer/run_phase2_benchmark.py +++ 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