8000 Changes is_mock to convert arg by domna · Pull Request #107 · FAIRmat-NFDI/pynxtools · GitHub
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Changes is_mock to convert arg #107

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Merged
merged 1 commit into from
May 8, 2023
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Changes is_mock to convert arg #107

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8 changes: 4 additions & 4 deletions pynxtools/dataconverter/readers/ellips/reader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,7 +202,7 @@ class EllipsometryReader(BaseReader):
supported_nxdls = ["NXellipsometry"]

@staticmethod
def populate_header_dict_with_datasets(file_paths):
def populate_header_dict_with_datasets(file_paths, is_mock=False):
"""This is an ellipsometry-specific processing of data.

The procedure is the following:
Expand Down Expand Up @@ -269,7 +269,6 @@ def populate_header_dict_with_datasets(file_paths):
header["angle_of_incidence"] = unique_angles

# Create mocked ellipsometry data template:
is_mock = True
if is_mock:
header, labels = mock_function(header)
for angle in enumerate(header["angle_of_incidence"]):
Expand All @@ -289,7 +288,8 @@ def populate_header_dict_with_datasets(file_paths):
def read(self,
template: dict = None,
file_paths: Tuple[str] = None,
objects: Tuple[Any] = None) -> dict:
objects: Tuple[Any] = None,
is_mock: bool = False) -> dict:
""" Reads data from given file and returns a filled template dictionary.

A handlings of virtual datasets is implemented:
Expand All @@ -306,7 +306,7 @@ def read(self,

# The header dictionary is filled with entries.
header, labels = (
EllipsometryReader.populate_header_dict_with_datasets(file_paths)
EllipsometryReader.populate_header_dict_with_datasets(file_paths, is_mock)
)

data_list = []
Expand Down
0