annotate tools/protein_analysis/seq_analysis_utils.py @ 20:a19b3ded8f33 draft

v0.2.11 Job splitting fast-fail; RXLR tools supports HMMER2 from BioConda; Capture more version information; misc internal changes
author peterjc
date Thu, 21 Sep 2017 11:35:20 -0400
parents f3ecd80850e2
children 238eae32483c
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rev   line source
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1 """A few useful functions for working with FASTA files and running jobs.
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2
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3 This module was originally written to hold common code used in both the TMHMM
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4 and SignalP wrappers in Galaxy.
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5
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6 Given Galaxy currently supports Python 2.4+ this cannot use the Python module
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7 multiprocessing so the function run_jobs instead is a simple pool approach
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8 using just the subprocess library.
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9 """
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10
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11 from __future__ import print_function
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12
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13 import os
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14 import subprocess
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15 import sys
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16
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17 from time import sleep
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18
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19 __version__ = "0.0.2"
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20
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21 try:
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22 from multiprocessing import cpu_count
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23 except ImportError:
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24 # Must be under Python 2.5, this is copied from multiprocessing:
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25 def cpu_count():
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26 """Returns the number of CPUs in the system."""
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27 if sys.platform == 'win32':
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28 try:
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29 num = int(os.environ['NUMBER_OF_PROCESSORS'])
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30 except (ValueError, KeyError):
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31 num = 0
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32 elif 'bsd' in sys.platform or sys.platform == 'darwin':
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33 comm = '/sbin/sysctl -n hw.ncpu'
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34 if sys.platform == 'darwin':
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35 comm = '/usr' + comm
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36 try:
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37 with os.popen(comm) as p:
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38 num = int(p.read())
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39 except ValueError:
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40 num = 0
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41 else:
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42 try:
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43 num = os.sysconf('SC_NPROCESSORS_ONLN')
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44 except (ValueError, OSError, AttributeError):
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45 num = 0
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46
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47 if num >= 1:
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48 return num
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49 else:
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50 raise NotImplementedError('cannot determine number of cpus')
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51
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52
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53 def thread_count(command_line_arg, default=1):
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54 """Determine number of threads to use from the command line args."""
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55 try:
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56 num = int(command_line_arg)
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57 except ValueError:
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58 num = default
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59 if num < 1:
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60 sys.exit("Threads argument %r is not a positive integer" % command_line_arg)
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61 # Cap this with the pysical limit of the machine,
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62 try:
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63 num = min(num, cpu_count())
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64 except NotImplementedError:
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65 pass
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66 # For debugging,
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67 # hostname = os.environ.get("HOSTNAME", "this machine")
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68 # sys.stderr.write("Using %i cores on %s\n" % (num, hostname))
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69 return num
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71
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72 def fasta_iterator(filename, max_len=None, truncate=None):
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73 """Simple FASTA parser yielding tuples of (title, sequence) strings."""
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74 handle = open(filename)
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75 title, seq = "", ""
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76 for line in handle:
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77 if line.startswith(">"):
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78 if title:
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79 if truncate:
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80 seq = seq[:truncate]
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81 if max_len and len(seq) > max_len:
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82 raise ValueError("Sequence %s is length %i, max length %i"
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83 % (title.split()[0], len(seq), max_len))
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84 yield title, seq
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85 title = line[1:].rstrip()
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86 seq = ""
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87 elif title:
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88 seq += line.strip()
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89 elif not line.strip() or line.startswith("#"):
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90 # Ignore blank lines, and any comment lines
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91 # between records (starting with hash).
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92 pass
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93 else:
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94 handle.close()
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95 raise ValueError("Bad FASTA line %r" % line)
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96 handle.close()
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97 if title:
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98 if truncate:
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99 seq = seq[:truncate]
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100 if max_len and len(seq) > max_len:
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101 raise ValueError("Sequence %s is length %i, max length %i"
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102 % (title.split()[0], len(seq), max_len))
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103 yield title, seq
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104 raise StopIteration
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105
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106
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107 def split_fasta(input_filename, output_filename_base, n=500, truncate=None, keep_descr=False, max_len=None):
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108 """Split FASTA file into sub-files each of at most n sequences.
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109
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110 Returns a list of the filenames used (based on the input filename).
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111 Each sequence can also be truncated (since we only need the start for
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112 SignalP), and have its description discarded (since we don't usually
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113 care about it and some tools don't like very long title lines).
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114
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115 If a max_len is given and any sequence exceeds it no temp files are
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116 created and an exception is raised.
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117 """
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118 iterator = fasta_iterator(input_filename, max_len, truncate)
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119 files = []
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120 try:
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121 while True:
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122 records = []
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123 for i in range(n):
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124 try:
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125 records.append(iterator.next())
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126 except StopIteration:
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127 break
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128 if not records:
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129 break
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130 new_filename = "%s.%i.tmp" % (output_filename_base, len(files))
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131 handle = open(new_filename, "w")
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132 if keep_descr:
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133 for title, seq in records:
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134 handle.write(">%s\n" % title)
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135 for i in range(0, len(seq), 60):
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136 handle.write(seq[i:i + 60] + "\n")
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137 else:
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138 for title, seq in records:
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139 handle.write(">%s\n" % title.split()[0])
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140 for i in range(0, len(seq), 60):
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141 handle.write(seq[i:i + 60] + "\n")
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142 handle.close()
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143 files.append(new_filename)
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144 # print "%i records in %s" % (len(records), new_filename)
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145 except ValueError as err:
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146 # Max length failure from parser - clean up
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147 try:
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148 handle.close()
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149 except Exception:
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150 pass
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151 for f in files:
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152 if os.path.isfile(f):
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153 os.remove(f)
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154 raise err
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155 for f in files:
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156 assert os.path.isfile(f), "Missing split file %r (!??)" % f
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157 return files
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158
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159
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160 def run_jobs(jobs, threads, pause=10, verbose=False, fast_fail=True):
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161 """Takes list of cmd strings, returns dict with error levels."""
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162 pending = jobs[:]
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163 running = []
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164 results = {}
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165 skipped = []
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166 if threads == 1:
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167 # Special case this for speed, don't need the waits
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168 for cmd in jobs:
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169 results[cmd] = subprocess.call(cmd, shell=True)
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170 return results
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171 failed = False
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172 while pending or running:
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173 # See if any have finished
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174 for (cmd, process) in running:
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175 return_code = process.poll() # non-blocking
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176 if return_code is not None:
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177 results[cmd] = return_code
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178 if return_code:
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179 failed = True
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180 running = [(cmd, process) for (cmd, process) in running
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181 if cmd not in results]
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182 if verbose:
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183 print("%i jobs pending, %i running, %i completed" %
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184 (len(pending), len(running), len(results)))
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185 # See if we can start any new threads
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186 if pending and failed and fast_fail:
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187 # Don't start any more jobs
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188 if verbose:
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189 print("Failed, will not start remaining %i jobs" % len(pending))
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190 skipped = pending
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191 pending = []
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192 while pending and len(running) < threads:
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193 cmd = pending.pop(0)
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194 if verbose:
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195 print(cmd)
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196 process = subprocess.Popen(cmd, shell=True)
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197 running.append((cmd, process))
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198 # Loop...
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199 sleep(pause)
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200 if verbose:
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201 print("%i jobs completed" % len(results))
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202 assert set(jobs) == set(results).union(skipped)
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203 return results