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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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import os |
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import pandas as pd |
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class ProgressIO: |
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def __init__(self, verbosity=True, warnings=True): |
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self.path = "./" |
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self.verbosity = verbosity |
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self.warnings = warnings |
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def get_filter_file_path(self, search_id): |
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return self.path + "/filter_" + search_id + ".csv" |
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def get_progress_data_path(self, search_id): |
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return self.path + "/progress_data_" + search_id + ".csv~" |
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def get_lock_file_path(self, search_id): |
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return self.path + "/progress_data_" + search_id + ".csv~.lock~" |
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def load_filter(self, search_id): |
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path = self.get_filter_file_path(search_id) |
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if os.path.isfile(path): |
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if self.verbosity: |
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print("Load filter file from path:", path) |
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return pd.read_csv(path) |
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else: |
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if self.warnings: |
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print("Warning: Filter file not found in:", path) |
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return None |
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def load_progress(self, search_id): |
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path = self.get_progress_data_path(search_id) |
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if os.path.isfile(path): |
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if self.verbosity: |
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print("Load progress data file from path:", path) |
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return pd.read_csv(path) |
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else: |
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if self.warnings: |
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print("Warning: Progress data not found in:", path) |
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return None |
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def remove_filter(self, search_id): |
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path = self.get_filter_file_path(search_id) |
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if os.path.isfile(path): |
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os.remove(path) |
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if self.verbosity: |
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print("Remove filter file from path:", path) |
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def remove_progress(self, search_id): |
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path = self.get_progress_data_path(search_id) |
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if os.path.isfile(path): |
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os.remove(path) |
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if self.verbosity: |
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print("Remove progress data file from path:", path) |
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def remove_lock(self, search_id): |
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path = self.get_lock_file_path(search_id) |
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if os.path.isfile(path): |
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os.remove(path) |
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if self.verbosity: |
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print("Remove lock file from path:", path) |
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def create_filter(self, search_id, search_space): |
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path = self.get_filter_file_path(search_id) |
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self.remove_filter(search_id) |
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indices = list(search_space.keys()) + ["score"] |
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filter_dict = { |
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"parameter": indices, |
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"lower bound": "---", |
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"upper bound": "---", |
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} |
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df = pd.DataFrame(filter_dict) |
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df.to_csv(path, index=None) |
SimonBlanke /
Hyperactive
