Download code/validation/Python/0036349_fidelity-summary.py from Variable-role/sajaniemi_variable_dataset_large: direct link, hf CLI and curl.
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- Download file 1.68 kB
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https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/code/validation/Python/0036349_fidelity-summary.py
- Command line
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hf download hf://datasets/Variable-role/sajaniemi_variable_dataset_large/code/validation/Python/0036349_fidelity-summary.py
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curl -L -o 0036349_fidelity-summary.py https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/code/validation/Python/0036349_fidelity-summary.py
1.68 kB
| #!/usr/bin/env python | |
| import sys, os, re | |
| from basename import basename | |
| if len(sys.argv) not in [2,3]: | |
| print("usage: {} fidelity_data_file [fidelity_cutoff]".format(sys.argv[0])) | |
| exit(1) | |
| fname = sys.argv[1] | |
| if len(sys.argv) == 3: | |
| fidelity_cutoff = float(sys.argv[2]) | |
| else: | |
| fidelity_cutoff = 0.5 | |
| if not os.path.isfile(fname): | |
| print("invalid file: {}".format(fname)) | |
| exit(1) | |
| out_file = "{}/fidelities-{}".format(os.path.dirname(fname),os.path.basename(fname)) | |
| split_name = re.split("-|\.",fname) | |
| samples = int(10**float(split_name[split_name.index("ls")+1])) | |
| results = [] | |
| collect = False | |
| with open(fname,'r') as f: | |
| for line in f: | |
| if not collect: | |
| if "--seed" in line: | |
| seed = int(line.split()[line.split().index("--seed")+1]) | |
| elif " fidelity" in line: | |
| description = line.replace("\n"," seed") | |
| collect = True | |
| else: | |
| if line == "\n": | |
| collect = False | |
| continue | |
| results += [ "{} {}".format(line.replace("\n",""),seed) ] | |
| if len(results) == 0: | |
| print("no simulation data in file: {}".format(fname)) | |
| exit(1) | |
| fidelity_column = description.split().index("fidelity") | |
| cutoff_results = [ result for result in results | |
| if float(result.split()[fidelity_column]) > fidelity_cutoff ] | |
| cutoff_results.sort(key = lambda r: -float(r.split()[fidelity_column])) | |
| with open(out_file,"w") as f: | |
| f.write("# samples: {}\n".format(samples)) | |
| f.write("# total results: {}\n".format(len(results))) | |
| f.write("# {}\n".format(description)) | |
| for result in cutoff_results: | |
| f.write(result+"\n") | |