Spaces:
Running
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tttc3
commited on
Commit
·
6baa534
1
Parent(s):
5f19660
Moved julia helper functions out of sr.py
Browse files- pysr/__init__.py +1 -1
- pysr/julia_helpers.py +123 -0
- pysr/sr.py +11 -54
pysr/__init__.py
CHANGED
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@@ -6,8 +6,8 @@ from .sr import (
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best_tex,
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best_callable,
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best_row,
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-
install,
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)
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from .feynman_problems import Problem, FeynmanProblem
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from .export_jax import sympy2jax
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from .export_torch import sympy2torch
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best_tex,
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best_callable,
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best_row,
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)
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+
from .julia_helpers import install
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from .feynman_problems import Problem, FeynmanProblem
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from .export_jax import sympy2jax
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from .export_torch import sympy2torch
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pysr/julia_helpers.py
ADDED
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@@ -0,0 +1,123 @@
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import warnings
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from pathlib import Path
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import os
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from .version import __version__, __symbolic_regression_jl_version__
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def install(julia_project=None, quiet=False): # pragma: no cover
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"""Install PyCall.jl and all required dependencies for SymbolicRegression.jl.
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Also updates the local Julia registry."""
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import julia
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julia.install(quiet=quiet)
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julia_project, is_shared = _get_julia_project(julia_project)
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Main = init_julia()
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Main.eval("using Pkg")
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io = "devnull" if quiet else "stderr"
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io_arg = f"io={io}" if is_julia_version_greater_eq(Main, "1.6") else ""
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# Can't pass IO to Julia call as it evaluates to PyObject, so just directly
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# use Main.eval:
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Main.eval(
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f'Pkg.activate("{_escape_filename(julia_project)}", shared = Bool({int(is_shared)}), {io_arg})'
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)
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if is_shared:
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# Install SymbolicRegression.jl:
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_add_sr_to_julia_project(Main, io_arg)
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Main.eval(f"Pkg.instantiate({io_arg})")
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Main.eval(f"Pkg.precompile({io_arg})")
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if not quiet:
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warnings.warn(
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"It is recommended to restart Python after installing PySR's dependencies,"
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" so that the Julia environment is properly initialized."
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)
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def import_error_string(julia_project=None):
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s = f"""
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Required dependencies are not installed or built. Run the following code in the Python REPL:
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>>> import pysr
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>>> pysr.install()
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"""
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if julia_project is not None:
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s += f"""
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Tried to activate project {julia_project} but failed."""
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return s
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def _get_julia_project(julia_project):
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if julia_project is None:
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is_shared = True
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julia_project = f"pysr-{__version__}"
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else:
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is_shared = False
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julia_project = Path(julia_project)
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return julia_project, is_shared
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def is_julia_version_greater_eq(Main, version="1.6"):
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"""Check if Julia version is greater than specified version."""
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return Main.eval(f'VERSION >= v"{version}"')
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def init_julia():
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"""Initialize julia binary, turning off compiled modules if needed."""
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from julia.core import JuliaInfo, UnsupportedPythonError
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try:
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info = JuliaInfo.load(julia="julia")
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except FileNotFoundError:
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env_path = os.environ["PATH"]
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raise FileNotFoundError(
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f"Julia is not installed in your PATH. Please install Julia and add it to your PATH.\n\nCurrent PATH: {env_path}",
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)
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if not info.is_pycall_built():
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raise ImportError(import_error_string())
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Main = None
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try:
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from julia import Main as _Main
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Main = _Main
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except UnsupportedPythonError:
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# Static python binary, so we turn off pre-compiled modules.
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from julia.core import Julia
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jl = Julia(compiled_modules=False)
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from julia import Main as _Main
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Main = _Main
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return Main
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def _add_sr_to_julia_project(Main, io_arg):
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Main.sr_spec = Main.PackageSpec(
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name="SymbolicRegression",
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url="https://github.com/MilesCranmer/SymbolicRegression.jl",
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rev="v" + __symbolic_regression_jl_version__,
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)
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Main.eval(f"Pkg.add(sr_spec, {io_arg})")
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Main.clustermanagers_spec = Main.PackageSpec(
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name="ClusterManagers",
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url="https://github.com/JuliaParallel/ClusterManagers.jl",
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rev="14e7302f068794099344d5d93f71979aaf4fbeb3",
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)
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Main.eval(f"Pkg.add(clustermanagers_spec, {io_arg})")
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def _escape_filename(filename):
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"""Turns a file into a string representation with correctly escaped backslashes"""
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str_repr = str(filename)
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str_repr = str_repr.replace("\\", "\\\\")
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return str_repr
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pysr/sr.py
CHANGED
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@@ -11,63 +11,20 @@ from pathlib import Path
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from datetime import datetime
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import warnings
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from multiprocessing import cpu_count
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-
from sklearn.base import BaseEstimator, RegressorMixin
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from
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from .deprecated import make_deprecated_kwargs_for_pysr_regressor
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def install(julia_project=None, quiet=False): # pragma: no cover
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"""Install PyCall.jl and all required dependencies for SymbolicRegression.jl.
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Also updates the local Julia registry."""
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import julia
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julia.install(quiet=quiet)
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-
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julia_project, is_shared = _get_julia_project(julia_project)
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-
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Main = init_julia()
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Main.eval("using Pkg")
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-
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io = "devnull" if quiet else "stderr"
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io_arg = f"io={io}" if is_julia_version_greater_eq(Main, "1.6") else ""
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# Can't pass IO to Julia call as it evaluates to PyObject, so just directly
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# use Main.eval:
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Main.eval(
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f'Pkg.activate("{_escape_filename(julia_project)}", shared = Bool({int(is_shared)}), {io_arg})'
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)
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if is_shared:
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# Install SymbolicRegression.jl:
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_add_sr_to_julia_project(Main, io_arg)
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-
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Main.eval(f"Pkg.instantiate({io_arg})")
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Main.eval(f"Pkg.precompile({io_arg})")
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if not quiet:
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warnings.warn(
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"It is recommended to restart Python after installing PySR's dependencies,"
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" so that the Julia environment is properly initialized."
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)
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-
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def import_error_string(julia_project=None):
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s = f"""
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Required dependencies are not installed or built. Run the following code in the Python REPL:
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-
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>>> import pysr
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>>> pysr.install()
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"""
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if julia_project is not None:
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s += f"""
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Tried to activate project {julia_project} but failed."""
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return s
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-
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-
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Main = None
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already_ran = False
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from datetime import datetime
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import warnings
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from multiprocessing import cpu_count
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from sklearn.base import BaseEstimator, RegressorMixin, MultiOutputMixin
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from sklearn.utils.validation import _check_feature_names_in, check_is_fitted
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from .julia_helpers import (
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init_julia,
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_get_julia_project,
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is_julia_version_greater_eq,
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_escape_filename,
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_add_sr_to_julia_project,
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import_error_string,
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)
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from .deprecated import make_deprecated_kwargs_for_pysr_regressor
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Main = None
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already_ran = False
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