Beispiel #1
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 def dump_dataset_headers(self):
     """Print out the matching parameters for the --datasets specified on
     the command line.
     """
     multi_context_headers = defaultdict(list)
     for context in self.contexts:
         if self.args.datasets:
             headers = api.get_dataset_headers_by_id(
                 context, self.args.datasets)
         elif self.args.instrument:
             headers = api.get_dataset_headers_by_instrument(
                 context, self.args.instrument)
         for dataset_id, header in headers.items():
             multi_context_headers[dataset_id].append((context, header))
     for dataset_id, context_headers in multi_context_headers.items():
         for (context, header) in context_headers:
             if self.args.condition_values:
                 header = utils.condition_header(header)
             if self.args.minimize_headers:
                 header = crds.get_cached_mapping(context).minimize_header(
                     header)
             if len(self.contexts) == 1:
                 print(dataset_id, ":", log.format_parameter_list(header))
             else:
                 print(dataset_id, ":", context, ":",
                       log.format_parameter_list(header))
Beispiel #2
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def get_conditioned_header(filepath, needed_keys=(), original_name=None, observatory=None):
    """Return the complete conditioned header dictionary of a reference file,
    or optionally only the keys listed by `needed_keys`.

    DOES NOT verify checksums.

    `original_name`,  if specified,  is used to determine the type of the file
    and is not required to be readable,  whereas `filepath` must be readable
    and contain the desired header.
    """
    header = get_header(filepath, needed_keys, original_name, observatory=observatory)
    return utils.condition_header(header, needed_keys)
Beispiel #3
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def get_conditioned_header(filepath,
                           needed_keys=(),
                           original_name=None,
                           observatory=None):
    """Return the complete conditioned header dictionary of a reference file,
    or optionally only the keys listed by `needed_keys`.

    DOES NOT verify checksums.

    `original_name`,  if specified,  is used to determine the type of the file
    and is not required to be readable,  whereas `filepath` must be readable
    and contain the desired header.
    """
    header = get_header(filepath,
                        needed_keys,
                        original_name,
                        observatory=observatory)
    return utils.condition_header(header, needed_keys)
Beispiel #4
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def condition_matching_header(rmapping, header):
    """Condition the matching header values to the normalized form of the .rmap"""
    return utils.condition_header(header)
Beispiel #5
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def condition_matching_header(rmapping, header):
    """Condition the matching header values to the normalized form of the .rmap"""
    return utils.condition_header(header)