added limit for number of trap reads to process

workflow/config/main.yaml

@@ -16,6 +16,7 @@ fast_min_q: 8 # empty string or 0 to disable
 pod5_dataset: "nomiss_96BC_P2I_SUP_2026"
 pod5_dataset_size : 293
 pod5_stride : 12 # Use 1 in x pod5 files from the ONT NO-MISS dataset to reduce dataset size / compute requirements
+trap_read_limit : '-n 500000'
 
 # custom ML
 torch_env : '../envs/torch_cpu.yaml'

workflow/rules/baseline_pipeline.smk

@@ -34,12 +34,17 @@ def get_batch_range(wildcards):
     if wildcards.dataset == 'trap':
         return [0]
 
+def get_read_limit(wildcards):
+    if wildcards.dataset == 'trap':
+        return config["trap_read_limit"]
+    return ''
+
 rule download_nomiss_pod5:
     output:
         '../data/raw_pod5/nomiss/PBK98658_853a956f_57f83f46_{batch}.pod5'
     threads: 4
     wildcard_constraints:
-        batch="\d+"
+        batch=r"\d+"
     shell:
         """
         aws s3 cp --no-sign-request s3://ont-open-data/nomiss_96BC_P2I_SUP_2026/raw/pod5/PBK98658_853a956f_57f83f46_{wildcards.batch}.pod5 {output}
@@ -50,7 +55,7 @@ rule download_trap_pod5:
         '../data/raw_pod5/trap/ATCC_25922_202309_0.pod5'
     threads: 4
     wildcard_constraints:
-        batch='\d+'
+        batch=r'\d+'
     shell:
         """
         curl -L "https://api.figshare.com/v2/file/download/45408628" -o {output}
@@ -68,13 +73,14 @@ rule basecall_pod5:
     params:
         benchmarking=get_benchmarking_file,
         min_qscore=get_qscore,
-        dorado_model=get_model_name
+        dorado_model=get_model_name,
+        n_reads=get_read_limit
     wildcard_constraints:
-        batch="\d+",
+        batch=r"\d+",
         model="hac|fast"
     shell:
         """
-        dorado basecaller --models-directory {config[dorado_model_dir]} --emit-fastq {params.benchmarking} {params.min_qscore} {params.dorado_model} {input.pod5} > {output}
+        dorado basecaller --models-directory {config[dorado_model_dir]} {params.n_reads} --emit-fastq {params.benchmarking} {params.min_qscore} {params.dorado_model} {input.pod5} > {output}
         """
 
 rule concatenate_basecalled_fastq: