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214 lines
8.5 KiB
Python
214 lines
8.5 KiB
Python
# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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import os
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from spack.package import *
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class DarshanRuntime(AutotoolsPackage):
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"""Darshan (runtime) is a scalable HPC I/O characterization tool
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designed to capture an accurate picture of application I/O behavior,
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including properties such as patterns of access within files, with
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minimum overhead. DarshanRuntime package should be installed on
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systems where you intend to instrument MPI applications."""
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homepage = "https://www.mcs.anl.gov/research/projects/darshan/"
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url = "https://ftp.mcs.anl.gov/pub/darshan/releases/darshan-3.1.0.tar.gz"
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git = "https://github.com/darshan-hpc/darshan.git"
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maintainers("shanedsnyder", "carns")
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tags = ["e4s"]
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test_requires_compiler = True
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version("main", branch="main", submodules=True)
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version("3.4.2", sha256="b095c3b7c059a8eba4beb03ec092b60708780a3cae3fc830424f6f9ada811c6b")
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version("3.4.1", sha256="77c0a4675d94a0f9df5710e5b8658cc9ef0f0981a6dafb114d0389b1af64774c")
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version("3.4.0", sha256="7cc88b7c130ec3b574f6b73c63c3c05deec67b1350245de6d39ca91d4cff0842")
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version(
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"3.4.0-pre1", sha256="57d0fd40329b9f8a51bdc9d7635b646692b341d80339115ab203357321706c09"
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)
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version("3.3.1", sha256="281d871335977d0592a49d053df93d68ce1840f6fdec27fea7a59586a84395f7")
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version("3.3.0", sha256="2e8bccf28acfa9f9394f2084ec18122c66e45d966087fa2e533928e824fcb57a")
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version(
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"3.3.0-pre2", sha256="0fc09f86f935132b7b05df981b05cdb3796a1ea02c7acd1905323691df65e761"
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)
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version(
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"3.3.0-pre1", sha256="1c655359455b5122921091bab9961491be58a5f0158f073d09fe8cc772bd0812"
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)
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version("3.2.1", sha256="d63048b7a3d1c4de939875943e3e7a2468a9034fcb68585edbc87f57f622e7f7")
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version("3.2.0", sha256="4035435bdc0fa2a678247fbf8d5a31dfeb3a133baf06577786b1fe8d00a31b7e")
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version("3.1.8", sha256="3ed51c8d5d93b4a8cbb7d53d13052140a9dffe0bc1a3e1ebfc44a36a184b5c82")
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version("3.1.7", sha256="9ba535df292727ac1e8025bdf2dc42942715205cad8319d925723fd88709e8d6")
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version("3.1.6", sha256="21cb24e2a971c45e04476e00441b7fbea63d2afa727a5cf8b7a4a9d9004dd856")
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version("3.1.0", sha256="b847047c76759054577823fbe21075cfabb478cdafad341d480274fb1cef861c")
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version("3.0.0", sha256="95232710f5631bbf665964c0650df729c48104494e887442596128d189da43e0")
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depends_on("mpi", when="+mpi")
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depends_on("zlib")
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depends_on("hdf5", when="+hdf5")
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depends_on("parallel-netcdf", when="+parallel-netcdf")
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depends_on("papi", when="+apxc")
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depends_on("autoconf", type="build", when="@main")
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depends_on("automake", type="build", when="@main")
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depends_on("libtool", type="build", when="@main")
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depends_on("m4", type="build", when="@main")
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depends_on("autoconf", type="build", when="@3.4.0:")
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depends_on("automake", type="build", when="@3.4.0:")
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depends_on("libtool", type="build", when="@3.4.0:")
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depends_on("m4", type="build", when="@3.4.0:")
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variant("mpi", default=True, description="Compile with MPI support")
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variant("hdf5", default=False, description="Compile with HDF5 module", when="@3.2:")
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variant(
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"parallel-netcdf",
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default=False,
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description="Compile with Parallel NetCDF module",
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when="@3.4.1:",
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)
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variant("apmpi", default=False, description="Compile with AutoPerf MPI module", when="@3.3:")
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variant(
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"apmpi_sync",
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default=False,
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description="Compile with AutoPerf MPI module (with collective synchronization timing)",
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when="@3.3:",
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)
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variant("apxc", default=False, description="Compile with AutoPerf XC module", when="@3.3:")
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variant(
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"scheduler",
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default="NONE",
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description="queue system scheduler JOB ID",
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values=("NONE", "cobalt", "pbs", "sge", "slurm"),
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multi=False,
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)
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@property
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def configure_directory(self):
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return "darshan-runtime"
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def configure_args(self):
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spec = self.spec
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extra_args = []
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job_id = "NONE"
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if "+slurm" in spec:
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job_id = "SLURM_JOBID"
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if "+cobalt" in spec:
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job_id = "COBALT_JOBID"
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if "+pbs" in spec:
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job_id = "PBS_JOBID"
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if "+sge" in spec:
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job_id = "JOB_ID"
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if "+hdf5" in spec:
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if self.version < Version("3.3.2"):
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extra_args.append("--enable-hdf5-mod=%s" % spec["hdf5"].prefix)
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else:
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extra_args.append("--enable-hdf5-mod")
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if "+parallel-netcdf" in spec:
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extra_args.append("--enable-pnetcdf-mod")
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if "+apmpi" in spec:
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extra_args.append("--enable-apmpi-mod")
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if "+apmpi_sync" in spec:
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extra_args.append(["--enable-apmpi-mod", "--enable-apmpi-coll-sync"])
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if "+apxc" in spec:
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extra_args.append(["--enable-apxc-mod"])
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extra_args.append("--with-mem-align=8")
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extra_args.append("--with-log-path-by-env=DARSHAN_LOG_DIR_PATH")
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extra_args.append("--with-jobid-env=%s" % job_id)
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extra_args.append("--with-zlib=%s" % spec["zlib"].prefix)
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if "+mpi" in spec:
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extra_args.append("CC=%s" % self.spec["mpi"].mpicc)
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else:
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extra_args.append("CC=%s" % self.compiler.cc)
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extra_args.append("--without-mpi")
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return extra_args
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def setup_run_environment(self, env):
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# default path for log file, could be user or site specific setting
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darshan_log_dir = os.environ["HOME"]
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env.set("DARSHAN_LOG_DIR_PATH", darshan_log_dir)
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@property
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def basepath(self):
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return join_path("darshan-test", join_path("regression", join_path("test-cases", "src")))
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@run_after("install")
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def _copy_test_inputs(self):
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test_inputs = [join_path(self.basepath, "mpi-io-test.c")]
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self.cache_extra_test_sources(test_inputs)
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def _test_intercept(self):
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testdir = "intercept-test"
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with working_dir(testdir, create=True):
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if "+mpi" in self.spec:
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# compile a test program
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logname = join_path(os.getcwd(), "test.darshan")
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fname = join_path(
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self.test_suite.current_test_cache_dir,
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join_path(self.basepath, "mpi-io-test.c"),
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)
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cc = Executable(self.spec["mpi"].mpicc)
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compile_opt = ["-c", fname]
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link_opt = ["-o", "mpi-io-test", "mpi-io-test.o"]
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cc(*(compile_opt))
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cc(*(link_opt))
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# run test program and intercept
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purpose = "Test running code built against darshan"
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exe = "./mpi-io-test"
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options = ["-f", "tmp.dat"]
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status = [0]
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installed = False
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expected_output = [
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r"Write bandwidth = \d+.\d+ Mbytes/sec",
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r"Read bandwidth = \d+.\d+ Mbytes/sec",
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]
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env["LD_PRELOAD"] = "libdarshan.so"
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env["DARSHAN_LOGFILE"] = logname
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self.run_test(
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exe,
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options,
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expected_output,
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status,
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installed,
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purpose,
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skip_missing=False,
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work_dir=None,
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)
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env.pop("LD_PRELOAD")
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import llnl.util.tty as tty
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# verify existence of log and size is > 0
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tty.msg("Test for existince of log:")
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if os.path.exists(logname):
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sr = os.stat(logname)
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print("PASSED")
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tty.msg("Test for size of log:")
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if not sr.st_size > 0:
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exc = BaseException("log size is 0")
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m = None
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if spack.config.get("config:fail_fast", False):
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raise TestFailure([(exc, m)])
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else:
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self.test_failures.append((exc, m))
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else:
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print("PASSED")
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else:
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exc = BaseException("log does not exist")
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m = None
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if spack.config.get("config:fail_fast", False):
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raise TestFailure([(exc, m)])
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else:
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self.test_failures.append((exc, m))
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def test(self):
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self._test_intercept()
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