annotate ipapy2_gibbs_sampler_add.py @ 0:428abc41a101 draft default tip

planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/ipapy2 commit 64b61ff2823b4f54868c0ab7a4c0dc49eaf2979a
author recetox
date Fri, 16 May 2025 08:01:46 +0000
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428abc41a101 planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/ipapy2 commit 64b61ff2823b4f54868c0ab7a4c0dc49eaf2979a
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1 from ipaPy2 import ipa
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2 from utils import flattern_annotations, GibbsArgumentParser, group_by_peak_id
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3
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4
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5 def main(
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6 mapped_isotope_patterns,
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7 annotations_df,
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8 noits,
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9 burn,
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10 delta_add,
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11 all_out,
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12 zs,
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13 zs_out,
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14 output_dataset,
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15 ):
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16 df = mapped_isotope_patterns
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18 annotations_df = annotations_df
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19 annotations_df["post"] = annotations_df["post"].replace("", 0)
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20 annotations_df = annotations_df.replace("", None)
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21 annotations = group_by_peak_id(annotations_df)
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23 if not zs:
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24 zs = None
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25
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26 zs = ipa.Gibbs_sampler_add(
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27 df,
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28 annotations,
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29 noits=noits,
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30 burn=burn,
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31 delta_add=delta_add,
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32 all_out=all_out,
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33 zs=zs,
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34 )
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36 annotations_flat = flattern_annotations(annotations)
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37 write_func, file_path = output_dataset
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38 write_func(annotations_flat, file_path)
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39
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40 if all_out:
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41 write_func, file_path = zs_out
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42 write_func(zs, file_path)
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44
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45 if __name__ == "__main__":
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46 parser = GibbsArgumentParser(description="cluster features before IPA pipeline.")
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47 parser.add_argument(
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48 "--input_dataset_mapped_isotope_patterns",
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49 nargs=2,
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50 action="load_data",
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51 required=True,
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52 help=(
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53 "A dataset containing the MS1 data. Ideally obtained from"
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54 " map_isotope_patterns"
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55 ),
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56 )
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57 parser.add_argument(
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58 "--input_dataset_annotations",
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59 nargs=2,
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60 action="load_data",
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61 required=True,
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62 help="a datset containing the annotations of the features.",
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63 )
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64
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65 args = parser.parse_args()
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66 main(
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67 args.input_dataset_mapped_isotope_patterns,
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68 args.input_dataset_annotations,
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69 args.noits,
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70 args.burn,
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71 args.delta_add,
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72 args.all_out,
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73 args.zs,
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74 args.zs_out,
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75 args.output_dataset,
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76 )