MissingParameterTypeAnnotation,
MissingReturnTypeAnnotation,
QueryRule,
RuleIndex,
UnrecognizedRuleArgument,
_RuleVisitor,
goal_rule,
rule,
)
from pants.engine.unions import UnionMembership
from pants.option.global_options import DEFAULT_EXECUTION_OPTIONS, DEFAULT_LOCAL_STORE_OPTIONS
from pants.testutil.rule_runner import MockGet, run_rule_with_mocks
from pants.util.enums import match
from pants.util.logging import LogLevel
_EXECUTOR = PyExecutor(core_threads=2, max_threads=4)
def create_scheduler(rules, validate=True):
"""Create a Scheduler."""
return Scheduler(
ignore_patterns=[],
use_gitignore=False,
build_root=str(Path.cwd()),
local_execution_root_dir="./.pants.d",
named_caches_dir="./.pants.d/named_caches",
ca_certs_path=None,
rules=rules,
union_membership=UnionMembership({}),
executor=_EXECUTOR,
execution_options=DEFAULT_EXECUTION_OPTIONS,
def __init__(self):
self.externs = Externs(self.lib)
self.lib.externs_set(self.externs)
self._executor = PyExecutor()
from pants.util.dirutil import (
recursive_dirname,
safe_file_dump,
safe_mkdir,
safe_mkdtemp,
safe_open,
)
from pants.util.ordered_set import FrozenOrderedSet
# -----------------------------------------------------------------------------------------------
# `RuleRunner`
# -----------------------------------------------------------------------------------------------
_O = TypeVar("_O")
_EXECUTOR = PyExecutor(core_threads=multiprocessing.cpu_count(),
max_threads=multiprocessing.cpu_count() * 4)
@dataclass(frozen=True)
class GoalRuleResult:
exit_code: int
stdout: str
stderr: str
@staticmethod
def noop() -> GoalRuleResult:
return GoalRuleResult(0, stdout="", stderr="")
# This is not frozen because we need to update the `scheduler` when setting options.
@dataclass
from pants.util.dirutil import (
recursive_dirname,
safe_file_dump,
safe_mkdir,
safe_mkdtemp,
safe_open,
)
from pants.util.ordered_set import FrozenOrderedSet
# -----------------------------------------------------------------------------------------------
# `RuleRunner`
# -----------------------------------------------------------------------------------------------
_O = TypeVar("_O")
_EXECUTOR = PyExecutor(multiprocessing.cpu_count(),
multiprocessing.cpu_count() * 4)
@dataclass(frozen=True)
class GoalRuleResult:
exit_code: int
stdout: str
stderr: str
@staticmethod
def noop() -> GoalRuleResult:
return GoalRuleResult(0, stdout="", stderr="")
# This is not frozen because we need to update the `scheduler` when setting options.
@dataclass
raise AssertionError("Expected value not found in exception.\n"
f"expected: {contains}\n\n"
f"exception: {underlying}")
# -----------------------------------------------------------------------------------------------
# `RuleRunner`
# -----------------------------------------------------------------------------------------------
_I = TypeVar("_I")
_O = TypeVar("_O")
# Use the ~minimum possible parallelism since integration tests using RuleRunner will already be run
# by Pants using an appropriate Parallelism. We must set max_threads > core_threads; so 2 is the
# minimum, but, via trial and error, 3 minimizes test times on average.
_EXECUTOR = PyExecutor(core_threads=1, max_threads=3)
# Environment variable names required for locating Python interpreters, for use with RuleRunner's
# env_inherit arguments.
# TODO: This is verbose and redundant: see https://github.com/pantsbuild/pants/issues/13350.
PYTHON_BOOTSTRAP_ENV = {"PATH", "PYENV_ROOT", "HOME"}
@dataclass(frozen=True)
class GoalRuleResult:
exit_code: int
stdout: str
stderr: str
@staticmethod
def noop() -> GoalRuleResult:
MissingParameterTypeAnnotation,
MissingReturnTypeAnnotation,
QueryRule,
RuleIndex,
UnrecognizedRuleArgument,
_RuleVisitor,
goal_rule,
rule,
)
from pants.engine.unions import UnionMembership
from pants.option.global_options import DEFAULT_EXECUTION_OPTIONS
from pants.testutil.rule_runner import MockGet, run_rule_with_mocks
from pants.util.enums import match
from pants.util.logging import LogLevel
_EXECUTOR = PyExecutor(2, 4)
def create_scheduler(rules, validate=True, native=None):
"""Create a Scheduler."""
native = native or Native()
return Scheduler(
native=native,
ignore_patterns=[],
use_gitignore=False,
build_root=str(Path.cwd()),
local_store_dir="./.pants.d/lmdb_store",
local_execution_root_dir="./.pants.d",
named_caches_dir="./.pants.d/named_caches",
ca_certs_path=None,
rules=rules,