refactor: var naming
Browse files- agro-nt-tasks.py +12 -9
agro-nt-tasks.py
CHANGED
@@ -40,12 +40,15 @@ _TASK_NAMES = ['poly_a.arabidopsis_thaliana',
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'poly_a.trifolium_pratense',
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'poly_a.medicago_truncatula',
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'poly_a.chlamydomonas_reinhardtii',
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-
'poly_a.oryza_sativa_japonica_group'
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_TASK_NAME_TO_TYPE = {'poly_a':'binary',
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'lncrna':'binary',
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-
'
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class AgroNtTasksConfig(datasets.BuilderConfig):
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@@ -58,7 +61,7 @@ class AgroNtTasksConfig(datasets.BuilderConfig):
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**kwargs: keyword arguments forwarded to super.
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"""
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-
self.task,self.
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self.task_type = _TASK_NAME_TO_TYPE[self.task]
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super().__init__(
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@@ -84,7 +87,7 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
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{
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"sequence": datasets.Value("string"),
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"name": datasets.Value("string"),
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"
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}
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)
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@@ -102,9 +105,9 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
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train_file = dl_manager.download_and_extract(
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os.path.join(self.config.task, self.config.
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test_file = dl_manager.download_and_extract(
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os.path.join(self.config.task, self.config.
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return [
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datasets.SplitGenerator(
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@@ -134,11 +137,11 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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-
def _generate_examples(self, filepath
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with open(filepath, 'r') as f:
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key = 0
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for record in SeqIO.parse(f,'fasta'):
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-
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split_name = record.name.split("|")
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name = split_name[0]
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@@ -147,6 +150,6 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
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yield key, {
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"sequence": str(record.seq),
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"name": name,
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"
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}
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key += 1
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'poly_a.trifolium_pratense',
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'poly_a.medicago_truncatula',
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'poly_a.chlamydomonas_reinhardtii',
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'poly_a.oryza_sativa_japonica_group',
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'splicing.arabidopsis_thaliana_donor',
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'splicing.arabidopsis_thaliana_acceptor'
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]
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_TASK_NAME_TO_TYPE = {'poly_a':'binary',
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'lncrna':'binary',
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+
'splicing':'binary',}
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class AgroNtTasksConfig(datasets.BuilderConfig):
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**kwargs: keyword arguments forwarded to super.
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"""
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self.task,self.sub_task = task_name.split(".")
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self.task_type = _TASK_NAME_TO_TYPE[self.task]
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super().__init__(
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{
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"sequence": datasets.Value("string"),
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"name": datasets.Value("string"),
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"label": datasets.Value("int8"),
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}
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)
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def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
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train_file = dl_manager.download_and_extract(
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os.path.join(self.config.task, self.config.sub_task + "_train.fa"))
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test_file = dl_manager.download_and_extract(
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os.path.join(self.config.task, self.config.sub_task + "_test.fa"))
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return [
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datasets.SplitGenerator(
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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+
def _generate_examples(self, filepath):
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with open(filepath, 'r') as f:
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key = 0
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for record in SeqIO.parse(f,'fasta'):
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# Yields examples as (key, example) tuples
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split_name = record.name.split("|")
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name = split_name[0]
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yield key, {
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"sequence": str(record.seq),
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"name": name,
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"label": labels,
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}
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key += 1
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