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0
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1 process {
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2 publishDir = [
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3 path: {
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4 "${task.process.tokenize(':')[-1].toLowerCase()}" == "multiqc" ?
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5 "${params.output}${params.fs}${params.pipeline.toLowerCase()}-${task.process.tokenize(':')[-1].toLowerCase()}" :
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6 "${params.output}${params.fs}${task.process.tokenize(':')[-1].toLowerCase()}"
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7 },
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8 mode: params.publish_dir_mode,
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9 overwrite: params.publish_dir_overwrite,
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10 saveAs: { filename -> filename =~ /^versions.yml|.+?_mqc.*/ ? null : filename }
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11 ]
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12
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13 errorStrategy = {
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14 ![0].contains(task.exitStatus) ? dynamic_retry(task.attempt, 10) : 'finish'
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15 }
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16
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17 maxRetries = 1
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18 resourceLabels = {[
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19 process: task.process,
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20 memoryRequested: task.memory.toString(),
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21 cpusRequested: task.cpus.toString()
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22 ]}
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23
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24 withLabel: 'process_femto' {
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25 cpus = { 1 * task.attempt }
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26 memory = { 1.GB * task.attempt }
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27 time = { 1.h * task.attempt }
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28 }
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29
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30 withLabel: 'process_pico' {
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31 cpus = { min_cpus(2) * task.attempt }
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32 memory = { 4.GB * task.attempt }
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33 time = { 2.h * task.attempt }
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34 }
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35
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36 withLabel: 'process_nano' {
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37 cpus = { min_cpus(4) * task.attempt }
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38 memory = { 8.GB * task.attempt }
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39 time = { 4.h * task.attempt }
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40 }
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41
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42 withLabel: 'process_micro' {
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43 cpus = { min_cpus(8) * task.attempt }
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44 memory = { 16.GB * task.attempt }
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45 time = { 8.h * task.attempt }
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46 }
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47
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48 withLabel: 'process_only_mem_low' {
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49 cpus = { 1 * task.attempt }
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50 memory = { 60.GB * task.attempt }
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51 time = { 20.h * task.attempt }
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52 }
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53
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54 withLabel: 'process_only_mem_medium' {
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55 cpus = { 1 * task.attempt }
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56 memory = { 100.GB * task.attempt }
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57 time = { 30.h * task.attempt }
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58 }
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59
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60 withLabel: 'process_only_mem_high' {
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61 cpus = { 1 * task.attempt }
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62 memory = { 128.GB * task.attempt }
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63 time = { 60.h * task.attempt }
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64 }
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65
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66 withLabel: 'process_low' {
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67 cpus = { min_cpus(10) * task.attempt }
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68 memory = { 60.GB * task.attempt }
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69 time = { 20.h * task.attempt }
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70 }
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71
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72 withLabel: 'process_medium' {
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73 cpus = { min_cpus(10) * task.attempt }
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74 memory = { 100.GB * task.attempt }
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75 time = { 30.h * task.attempt }
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76 }
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77
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78 withLabel: 'process_high' {
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79 cpus = { min_cpus(10) * task.attempt }
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80 memory = { 128.GB * task.attempt }
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81 time = { 60.h * task.attempt }
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82 }
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83
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84 withLabel: 'process_higher' {
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85 cpus = { min_cpus(10) * task.attempt }
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86 memory = { 256.GB * task.attempt }
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87 time = { 60.h * task.attempt }
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88 }
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89
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90 withLabel: 'process_gigantic' {
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91 cpus = { min_cpus(10) * task.attempt }
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92 memory = { 512.GB * task.attempt }
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93 time = { 60.h * task.attempt }
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94 }
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95 }
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96
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97 if ( (params.input || params.metadata ) && params.pipeline ) {
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98 try {
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99 includeConfig "${params.workflowsconf}${params.fs}process${params.fs}${params.pipeline}.process.config"
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100 } catch (Exception e) {
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101 System.err.println('-'.multiply(params.linewidth) + "\n" +
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102 "\033[0;31m${params.cfsanpipename} - ERROR\033[0m\n" +
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103 '-'.multiply(params.linewidth) + "\n" + "\033[0;31mCould not load " +
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104 "default pipeline's process configuration. Please provide a pipeline \n" +
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105 "name using the --pipeline option.\n\033[0m" + '-'.multiply(params.linewidth) + "\n")
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106 System.exit(1)
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107 }
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108 }
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109
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110 // Function will return after sleeping for some time.
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111 // Sleep time increases exponentially by task attempt.
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112 def dynamic_retry(task_retry_num, factor_by) {
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113 // sleep(Math.pow(2, task_retry_num.toInteger()) * factor_by.toInteger() as long)
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114 sleep(Math.pow(1.27, task_retry_num.toInteger()) as long)
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115 return 'retry'
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116 }
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117
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118 // Function that will adjust the minimum number of CPU
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119 // cores depending as requested by the user.
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120 def min_cpus(cores) {
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121 return Math.min(cores as int, "${params.max_cpus}" as int)
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122 }
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