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nextflow.config
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nextflow.config
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/*
* -------------------------------------------------
* nf-core/openproblems Nextflow config file
* -------------------------------------------------
* Default config options for all environments.
*/
// Global default params, used in configs
params {
// Workflow flags
outdir = './results'
publish_dir_mode = 'copy'
// If specified, use smaller dataset
use_test_data = false
// Set the Docker host to DockerHub
container_host = 'singlecellopenproblems/'
// Boilerplate options
name = false
monochrome_logs = false
help = false
tracedir = "${params.outdir}/pipeline_info"
custom_config_version = 'master'
custom_config_base = "https://raw.githubusercontent.com/nf-core/configs/${params.custom_config_version}"
hostnames = false
config_profile_description = false
config_profile_contact = false
config_profile_url = false
max_memory = 256.GB
max_cpus = 32
max_time = 24.h
max_retries = 7
method_cpus = 2
metric_cpus = 2
method_max_cpus = 32
metric_max_cpus = 32
dataset_memory = 2.GB
method_memory = 16.GB
metric_memory = 4.GB
method_time = 30.min
metric_time = 30.min
method_max_time = 24.h
metric_max_time = 24.h
}
// Container slug. Stable releases should specify release tag!
// Developmental code should specify :dev
process.container = 'singlecellopenproblems/openproblems:latest'
// Load base.config by default for all pipelines
includeConfig 'conf/base.config'
// Load nf-core custom profiles from different Institutions
try {
includeConfig "${params.custom_config_base}/nfcore_custom.config"
} catch (Exception e) {
System.err.println("WARNING: Could not load nf-core/config profiles: ${params.custom_config_base}/nfcore_custom.config")
}
profiles {
aws { includeConfig 'conf/aws.config' }
conda { process.conda = "$projectDir/environment.yml" }
debug { process.beforeScript = 'echo $HOSTNAME' }
docker {
docker.enabled = true
// Avoid this error:
// WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
// Testing this in nf-core after discussion here https://github.com/nf-core/tools/pull/351
// once this is established and works well, nextflow might implement this behavior as new default.
docker.runOptions = '-u \$(id -u):\$(id -g) -e "NUMBA_CACHE_DIR=~/numba-cache"'
}
singularity {
singularity.enabled = true
singularity.autoMounts = true
}
podman {
podman.enabled = true
}
test { includeConfig 'conf/test.config' }
}
// Export these variables to prevent local Python/R libraries from conflicting with those in the container
env {
PYTHONNOUSERSITE = 1
R_PROFILE_USER = "/.Rprofile"
R_ENVIRON_USER = "/.Renviron"
PATH = "\$PATH:/usr/local/bin"
}
// Capture exit codes from upstream processes when piping
process.shell = ['/bin/bash', '-euo', 'pipefail']
timeline {
enabled = true
file = "${params.tracedir}/execution_timeline.html"
overwrite = true
}
report {
enabled = true
file = "${params.tracedir}/execution_report.html"
overwrite = true
}
trace {
enabled = true
file = "${params.tracedir}/execution_trace.txt"
overwrite = true
}
dag {
enabled = false
file = "${params.tracedir}/pipeline_dag.svg"
}
manifest {
name = 'openproblems-bio/openproblems'
author = 'Olga Botvinnik, Scott Gigante'
homePage = 'https://github.com/openproblems-bio/openproblems'
description = 'Framework for testing and benchmarking single-cell open problems tools'
mainScript = 'main.nf'
nextflowVersion = '>=20.04.0'
version = '1.10'
}
// Function to ensure that resource requirements don't go beyond
// a maximum limit
def check_max(obj, type) {
if (type == 'memory') {
try {
if (obj.compareTo(params.max_memory as nextflow.util.MemoryUnit) == 1)
return params.max_memory as nextflow.util.MemoryUnit
else
return obj
} catch (all) {
println " ### ERROR ### Max memory '${params.max_memory}' is not valid! Using default value: $obj"
return obj
}
} else if (type == 'time') {
try {
if (obj.compareTo(params.max_time as nextflow.util.Duration) == 1)
return params.max_time as nextflow.util.Duration
else
return obj
} catch (all) {
println " ### ERROR ### Max time '${params.max_time}' is not valid! Using default value: $obj"
return obj
}
} else if (type == 'cpus') {
try {
return Math.min( obj, params.max_cpus as int )
} catch (all) {
println " ### ERROR ### Max cpus '${params.max_cpus}' is not valid! Using default value: $obj"
return obj
}
}
}
task_resources = [:]
task_resources['memory'] = [:]
task_resources['cpus'] = [:]
task_resources['time'] = [:]
def compute_resources(min, task, type) {
if (task.attempt == 1) {
out = min
} else {
is_oom = task.exitStatus in 135..139
current = task_resources[type][task.name]
if (type == 'memory') {
// sometimes OOM returns exit code 1
is_oom = is_oom || task.attempt > 2
out = is_oom ? current * 4 : current
} else {
out = is_oom ? current : current * 2
}
}
out = check_max(out, type)
task_resources[type][task.name] = out
return out
}