def info(benchmark,
solver_names,
dataset_names,
env_name='False',
verbose=False):
# benchmark
benchmark = Benchmark(benchmark)
print(f"Info regarding the benchmark '{benchmark.name}'")
# validate solvers and datasets
benchmark.validate_dataset_patterns(dataset_names)
benchmark.validate_solver_patterns(solver_names)
# get solvers and datasets in the benchmark
all_solvers = benchmark.get_solvers()
all_datasets = benchmark.get_datasets()
# enable verbosity if any environment was provided
if env_name is not None and env_name != 'False':
verbose = True
# conda env check only in verbose case
if verbose:
# Check conda env name
env_name = check_conda_env(env_name, benchmark.name)
# check conda environment validity
check_benchopt = _run_shell_in_conda_env("benchopt --version",
env_name=env_name,
capture_stdout=True)
if check_benchopt != 0:
warnings.warn(
f"Environment '{env_name}' does not exist "
"or is not configured for benchopt, "
"benchmark requirement availability will not be checked, "
"see the command `benchopt install`.", UserWarning)
env_name = None
else:
print("Checking benchmark requirement availability "
f"in env '{env_name}'.")
print("Note: you can install all dependencies from a benchmark "
"with the command `benchopt install`.")
# enable verbosity if any solver/dataset are specified in input
if dataset_names or solver_names:
verbose = True
# print information
print("-" * 10)
if not dataset_names and not solver_names:
dataset_names = ['all']
solver_names = ['all']
if dataset_names:
print("# DATASETS", flush=True)
print_info(dataset_names, all_datasets, env_name, verbose)
if solver_names:
print("# SOLVERS", flush=True)
print_info(solver_names, all_solvers, env_name, verbose)
from benchopt.utils.stream_redirection import SuppressStd
# Default benchmark
TEST_BENCHMARK_DIR = Path(__file__).parent / 'test_benchmarks'
DUMMY_BENCHMARK_PATH = TEST_BENCHMARK_DIR / 'dummy_benchmark'
# Pattern to select specific datasets or solvers.
SELECT_ONE_SIMULATED = r'simulated*500*rho=0]'
SELECT_ONE_PGD = r'python-pgd*step_size=1]'
SELECT_ONE_OBJECTIVE = r'dummy*reg=0.1]'
try:
DUMMY_BENCHMARK = Benchmark(DUMMY_BENCHMARK_PATH)
TEST_OBJECTIVE = DUMMY_BENCHMARK.get_benchmark_objective()
TEST_SOLVER = [
s for s in DUMMY_BENCHMARK.get_solvers() if s.name == "Test-Solver"
][0]
TEST_DATASET = [
d for d in DUMMY_BENCHMARK.get_datasets() if d.name == "Test-Dataset"
][0]
except Exception:
DUMMY_BENCHMARK = None
TEST_OBJECTIVE = None
TEST_SOLVER = None
TEST_DATASET = None
class CaptureRunOutput(object):
"""Context to capture run cmd output and files.
"""
def __init__(self):