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-rw-r--r--quality_control/average.py12
-rw-r--r--quality_control/errors.py23
-rw-r--r--quality_control/headers.py33
-rw-r--r--quality_control/parsing.py141
-rw-r--r--quality_control/standard_error.py15
-rw-r--r--tests/qc/test_cells.py56
-rw-r--r--tests/qc/test_error_collection.py42
-rw-r--r--tests/qc/test_header.py45
-rw-r--r--tests/qc/test_parsing.py53
9 files changed, 64 insertions, 356 deletions
diff --git a/quality_control/average.py b/quality_control/average.py
index 9ca16a9..47a04d9 100644
--- a/quality_control/average.py
+++ b/quality_control/average.py
@@ -3,19 +3,11 @@ import re
from typing import Union
from .errors import InvalidValue
-from .errors import InvalidCellValue
-
-def valid_value(val):
- """Checks whether `val` is a valid value for averages"""
- if re.search(r"^[0-9]+\.[0-9]{3}$", val):
- return float(val)
- raise InvalidCellValue(
- f"Invalid value '{val}'. "
- "Expected string representing a number with exactly three decimal "
- "places.")
def invalid_value(line_number: int, column_number: int, val: str) -> Union[
InvalidValue, None]:
+ """Return an `InvalidValue` object if `val` is not a valid "averages"
+ value."""
if re.search(r"^[0-9]+\.[0-9]{3}$", val):
return None
return InvalidValue(
diff --git a/quality_control/errors.py b/quality_control/errors.py
index 4206b5b..678fe09 100644
--- a/quality_control/errors.py
+++ b/quality_control/errors.py
@@ -2,29 +2,6 @@
from collections import namedtuple
-class InvalidCellValue(Exception):
- """Raised when a function encounters an invalid value"""
-
- def __init__(self, *args):
- super().__init__(*args)
-
-class InvalidHeaderValue(Exception):
- """Raised when a header contains values not in the reference file."""
-
- def __init__(self, *args):
- super().__init__(*args)
-
-class DuplicateHeader(Exception):
- """Raised when a header contains 2 similar headers."""
-
- def __init__(self, *args):
- super().__init__(*args)
-
-class ParseError(Exception):
- """Raised if any of the above exceptions are raised"""
- def __init__(self, *args):
- super().__init__(*args)
-
InvalidValue = namedtuple(
"InvalidValue", ("line", "column", "value", "message"))
diff --git a/quality_control/headers.py b/quality_control/headers.py
index 3b1e0e6..79d7e43 100644
--- a/quality_control/headers.py
+++ b/quality_control/headers.py
@@ -4,41 +4,22 @@ from functools import reduce
from typing import Union, Tuple, Sequence
from quality_control.errors import InvalidValue, DuplicateHeading
-from quality_control.errors import DuplicateHeader, InvalidHeaderValue
-
-def valid_header(strains, headers):
- "Return the valid headers with reference to strains or throw an error"
- if not bool(headers[1:]):
- raise InvalidHeaderValue(
- "The header MUST contain at least 2 columns")
- invalid_headers = tuple(
- header for header in headers[1:] if header not in strains)
- if invalid_headers:
- raise InvalidHeaderValue(
- *(f"'{header}' not a valid strain." for header in invalid_headers))
-
- unique_headers = set(headers)
- if len(unique_headers) != len(headers):
- repeated = (
- (header, headers.count(header))
- for header in unique_headers if headers.count(header) > 1)
- raise DuplicateHeader(*(
- f"'{header}' is present in the header row {times} times."
- for header, times in repeated))
-
- return headers
-
def invalid_header(
line_number: int, headers: Sequence[str]) -> Union[InvalidValue, None]:
+ """Return an `InvalidValue` object if the header row has less than 2
+ items."""
if len(headers) < 2:
return InvalidValue(
line_number, 0, "<TAB>".join(headers),
"The header MUST contain at least 2 columns")
+ return None
def invalid_headings(
line_number: int, strains: Sequence[str],
headings: Sequence[str]) -> Union[Tuple[InvalidValue, ...], None]:
+ """Return tuple of `InvalidValue` objects for each error found for every
+ column heading."""
return tuple(
InvalidValue(
line_number, col, header, f"'{header}' not a valid strain.")
@@ -47,13 +28,15 @@ def invalid_headings(
def duplicate_headings(
line_number: int, headers: Sequence[str]) -> Union[InvalidValue, None]:
+ """Return a tuple of `DuplicateHeading` objects for each column heading that
+ is a duplicate of another column heading."""
def __update_columns__(acc, item):
if item[1] in acc.keys():
return {**acc, item[1]: acc[item[1]] + (item[0],)}
return {**acc, item[1]: (item[0],)}
repeated = {
heading: columns for heading, columns in
- reduce(__update_columns__, enumerate(headers, start=1), dict()).items()
+ reduce(__update_columns__, enumerate(headers, start=1), {}).items()
if len(columns) > 1
}
return tuple(
diff --git a/quality_control/parsing.py b/quality_control/parsing.py
index 70a85ed..655b98a 100644
--- a/quality_control/parsing.py
+++ b/quality_control/parsing.py
@@ -1,40 +1,22 @@
"""Module handling the high-level parsing of the files"""
-import csv
+import os
import collections
from enum import Enum
-from functools import reduce, partial
-from typing import Iterable, Generator
+from functools import partial
+from typing import Union, Iterable, Generator, Callable
import quality_control.average as avg
import quality_control.standard_error as se
-from quality_control.headers import valid_header
+from quality_control.errors import InvalidValue
from quality_control.headers import (
invalid_header, invalid_headings, duplicate_headings)
-from quality_control.errors import (
- ParseError, DuplicateHeader, InvalidCellValue, InvalidHeaderValue)
class FileType(Enum):
"""Enumerate the expected file types"""
AVERAGE = 1
STANDARD_ERROR = 2
-def __parse_header(line, strains):
- return valid_header(
- set(strains),
- tuple(header.strip() for header in line.split("\t")))
-
-def __parse_average_line(line):
- return (line[0],) + tuple(avg.valid_value(field) for field in line[1:])
-
-def __parse_standard_error_line(line):
- return (line[0],) + tuple(se.valid_value(field) for field in line[1:])
-
-LINE_PARSERS = {
- FileType.AVERAGE: __parse_average_line,
- FileType.STANDARD_ERROR: __parse_standard_error_line
-}
-
def strain_names(filepath):
"""Retrieve the strains names from given file"""
strains = set()
@@ -51,90 +33,22 @@ def strain_names(filepath):
return strains
-def parse_file(filepath: str, filetype: FileType, strains: list):
- """Parse the given file"""
- seek_pos = 0
- try:
- with open(filepath, encoding="utf-8") as input_file:
- for line_number, line in enumerate(input_file):
- if line_number == 0:
- yield __parse_header(line, strains), seek_pos + len(line)
- seek_pos = seek_pos + len(line)
- continue
-
- yield (
- LINE_PARSERS[filetype](
- tuple(field.strip() for field in line.split("\t"))),
- seek_pos + len(line))
- seek_pos = seek_pos + len(line)
- except (DuplicateHeader, InvalidCellValue, InvalidHeaderValue) as err:
- raise ParseError({
- "filepath": filepath,
- "filetype": filetype,
- "position": seek_pos,
- "line_number": line_number,
- "error": err
- }) from err
-
-def parse_errors(filepath: str, filetype: FileType, strains: list,
- seek_pos: int = 0) -> Generator:
- """Retrieve ALL the parse errors"""
- assert seek_pos >= 0, "The seek position must be at least zero (0)"
-
- def __error_type(error):
- """Return a nicer string representatiton for the error type."""
- if isinstance(error, DuplicateHeader):
- return "Duplicated Headers"
- if isinstance(error, InvalidCellValue):
- return "Invalid Value"
- if isinstance(error, InvalidHeaderValue):
- return "Invalid Strain"
-
- def __errors(filepath, filetype, strains, seek_pos):
- """Return only the errors as values"""
- with open(filepath, encoding="utf-8") as input_file:
- ## TODO: Seek the file to the given seek position
- for line_number, line in enumerate(input_file):
- if seek_pos > 0:
- input_file.seek(seek_pos, 0)
- try:
- if seek_pos == 0 and line_number == 0:
- header = __parse_header(line, strains)
- yield None
- seek_pos = seek_pos + len(line)
- continue
-
- parsed_line = LINE_PARSERS[filetype](
- tuple(field.strip() for field in line.split("\t")))
- yield None
- seek_pos = seek_pos + len(line)
- except (DuplicateHeader, InvalidCellValue, InvalidHeaderValue) as err:
- yield {
- "filepath": filepath,
- "filetype": filetype,
- "position": seek_pos,
- "line_number": line_number,
- "error": __error_type(err),
- "message": err.args
- }
- seek_pos = seek_pos + len(line)
-
- return (
- error for error in __errors(filepath, filetype, strains, seek_pos)
- if error is not None)
-
def header_errors(line_number, fields, strains):
+ """Gather all header row errors."""
return (
(invalid_header(line_number, fields),) +
invalid_headings(line_number, strains, fields[1:]) +
duplicate_headings(line_number, fields))
def empty_value(line_number, column_number, value):
+ """Check for empty field values."""
if value == "":
return InvalidValue(
line_number, column_number, value, "Empty value for column")
+ return None
def average_errors(line_number, fields):
+ """Gather all errors for a line in a averages file."""
return (
(empty_value(line_number, 1, fields[0]),) +
tuple(
@@ -142,6 +56,7 @@ def average_errors(line_number, fields):
for field in enumerate(fields[1:], start=2)))
def se_errors(line_number, fields):
+ """Gather all errors for a line in a standard-errors file."""
return (
(empty_value(line_number, 1, fields[0]),) +
tuple(
@@ -149,7 +64,8 @@ def se_errors(line_number, fields):
for field in enumerate(fields[1:], start=2)))
def collect_errors(
- filepath: str, filetype: FileType, strains: list, count: int = 10) -> Generator:
+ filepath: str, filetype: FileType, strains: list,
+ updater: Union[Callable, None] = None) -> Generator:
"""Run checks against file and collect all the errors"""
errors = tuple()
def __process_errors__(line_number, line, error_checker_fn, errors = tuple()):
@@ -162,30 +78,37 @@ def collect_errors(
return errors + tuple(error for error in errs if error is not None)
return errors + (errs,)
+ filesize = os.stat(filepath).st_size
+ processed_size = 0
with open(filepath, encoding="utf-8") as input_file:
for line_number, line in enumerate(input_file, start=1):
if line_number == 1:
- errors = __process_errors__(
- line_number, line, partial(header_errors, strains=strains),
- errors)
- if line_number != 1:
- errors = __process_errors__(
- line_number, line, (
- average_errors if filetype == FileType.AVERAGE
- else se_errors),
- errors)
+ for error in __process_errors__(
+ line_number, line, partial(header_errors, strains=strains),
+ errors):
+ yield error
- if count > 0 and len(errors) >= count:
- break
-
- return errors[0:count]
+ if line_number != 1:
+ for error in __process_errors__(
+ line_number, line, (
+ average_errors if filetype == FileType.AVERAGE
+ else se_errors),
+ errors):
+ yield error
+
+ processed_size = processed_size + len(line)
+ if updater:
+ updater({
+ "line_number": line_number,
+ "percent": (processed_size/filesize) * 100
+ })
def take(iterable: Iterable, num: int) -> list:
"""Take at most `num` items from `iterable`."""
iterator = iter(iterable)
items = []
try:
- for i in range(0, num):
+ for i in range(0, num): # pylint: disable=[unused-variable]
items.append(next(iterator))
return items
diff --git a/quality_control/standard_error.py b/quality_control/standard_error.py
index 022cc9b..c866993 100644
--- a/quality_control/standard_error.py
+++ b/quality_control/standard_error.py
@@ -3,19 +3,10 @@ import re
from typing import Union
from .errors import InvalidValue
-from .errors import InvalidCellValue
-def valid_value(val):
- """Checks whether `val` is a valid value for standard errors"""
- if re.search(r"^[0-9]+\.[0-9]{6,}$", val):
- return float(val)
- raise InvalidCellValue(
- f"Invalid value '{val}'. "
- "Expected string representing a number with at least six decimal "
- "places.")
-
-def invalid_value(line_number: int, column_number: int, val: str) -> Union[
- InvalidValue, None]:
+def invalid_value(
+ line_number: int, column_number: int, val: str) -> Union[
+ InvalidValue, None]:
"""
Returns a `quality_control.errors.InvalidValue` object in the case where
`val` is not a valid input for standard error files, otherwise, it returns
diff --git a/tests/qc/test_cells.py b/tests/qc/test_cells.py
index 46aeb64..a38be30 100644
--- a/tests/qc/test_cells.py
+++ b/tests/qc/test_cells.py
@@ -1,64 +1,12 @@
"""Test that values in cells within a line fulfill the required criteria"""
-import pytest
from random import randint
from hypothesis import given
from hypothesis import strategies as st
from quality_control.errors import InvalidValue
-from quality_control.errors import InvalidCellValue
-from quality_control.average import (
- valid_value as avg_valid_value,
- invalid_value as avg_invalid_value)
-from quality_control.standard_error import (
- valid_value as se_valid_value,
- invalid_value as se_invalid_value)
-
-@given(num_str=st.from_regex(
- r"^(?!([0-9]+\.([0-9]{3}|[0-9]{6,}))).*", fullmatch=True))
-def test_cell_value_errors_with_invalid_inputs(num_str):
- """Check that an error is raised for a cell with an invalid value."""
- with pytest.raises(InvalidCellValue):
- avg_valid_value(num_str)
- with pytest.raises(InvalidCellValue):
- se_valid_value(num_str)
-
-@given(num_str=st.from_regex(
- r"^[0-9]+\.([0-9]{1,2}|[0-9]{4,}$)", fullmatch=True))
-def test_cell_average_value_errors_if_not_three_decimal_places(num_str):
- """Check that an error is raised if the average value does not have 3 decimal places"""
- with pytest.raises(InvalidCellValue):
- avg_valid_value(num_str)
-
-@given(num_str=st.from_regex(r"^[0-9]+\.[0-9]{3}$", fullmatch=True))
-def test_cell_average_value_pass_if_three_decimal_places(num_str):
- """Check that there is no error if the average value has 3 decimal places."""
- processed = avg_valid_value(num_str)
- assert (
- isinstance(processed, float) and
- processed == float(num_str))
-
-@given(num_str=st.from_regex(r"^[0-9]+\.([0-9]{0,5}$)", fullmatch=True))
-def test_cell_standard_error_value_errors_if_less_than_six_decimal_places(num_str):
- """
- Check that an error is raised if the standard error value does not have 6
- decimal places
- """
- with pytest.raises(InvalidCellValue):
- se_valid_value(num_str)
-
-@given(num_str=st.from_regex(r"^[0-9]+\.[0-9]{6,}$", fullmatch=True))
-def test_cell_standard_error_value_pass_if_six_or_more_decimal_places(num_str):
- """
- Check that there is no error if the standard error value has 3 decimal
- places.
- """
- processed = se_valid_value(num_str)
- assert (
- isinstance(processed, float) and
- processed == float(num_str))
-
-## ================================================================================
+from quality_control.average import invalid_value as avg_invalid_value
+from quality_control.standard_error import invalid_value as se_invalid_value
@given(num_str=st.from_regex(
r"^(?!([0-9]+\.([0-9]{3}|[0-9]{6,}))).*", fullmatch=True))
diff --git a/tests/qc/test_error_collection.py b/tests/qc/test_error_collection.py
index 466f455..fe85bb1 100644
--- a/tests/qc/test_error_collection.py
+++ b/tests/qc/test_error_collection.py
@@ -1,33 +1,9 @@
+"""Check that error collection works as expected"""
+
import pytest
-from quality_control.parsing import take, FileType, parse_errors
-from quality_control.parsing import collect_errors
-
-@pytest.mark.slow
-@pytest.mark.parametrize(
- "filepath,filetype,seek_pos",
- (("tests/test_data/average_crlf.tsv", FileType.AVERAGE, 0),
- ("tests/test_data/average_error_at_end_200MB.tsv", FileType.AVERAGE,
- 205500004 # Skip first 500K lines
- ),
- ("tests/test_data/average.tsv", FileType.AVERAGE, 0),
- ("tests/test_data/standarderror_1_error_at_end.tsv",
- FileType.STANDARD_ERROR, 0),
- ("tests/test_data/standarderror.tsv", FileType.STANDARD_ERROR, 0),
- ("tests/test_data/duplicated_headers_no_data_errors.tsv",
- FileType.AVERAGE, 0)))
-def test_parse_errors(filepath, filetype, strains, seek_pos):
- """
- Check that only errors are returned, and that certain properties hold for
- said errors.
- """
- for error in parse_errors(filepath, filetype, strains, seek_pos):
- assert isinstance(error, dict)
- assert "filepath" in error
- assert "filetype" in error
- assert "position" in error
- assert "error" in error and isinstance(error["error"], str)
- assert "message" in error
+from quality_control.errors import InvalidValue, DuplicateHeading
+from quality_control.parsing import take, FileType, collect_errors
@pytest.mark.parametrize(
"sample,num,expected",
@@ -35,13 +11,11 @@ def test_parse_errors(filepath, filetype, strains, seek_pos):
([0, 1, 2, 3], 200, [0, 1, 2, 3]),
(("he", "is", "a", "lovely", "boy"), 3, ["he", "is", "a"])))
def test_take(sample, num, expected):
+ """Check that `take` works correctly."""
taken = take(sample, num)
assert len(taken) <= num
assert taken == expected
-
-## ==================================================
-
@pytest.mark.slow
@pytest.mark.parametrize(
"filepath,filetype,count",
@@ -55,4 +29,8 @@ def test_take(sample, num, expected):
("tests/test_data/duplicated_headers_no_data_errors.tsv",
FileType.AVERAGE, 10)))
def test_collect_errors(filepath, filetype, strains, count):
- assert len(collect_errors(filepath, filetype, strains, count)) <= count
+ """Check that `collect_errors` works as expected."""
+ results = take(collect_errors(filepath, filetype, strains), count)
+ def __valid_instance(item):
+ return isinstance(item, (InvalidValue, DuplicateHeading))
+ assert all(__valid_instance(error) for error in results)
diff --git a/tests/qc/test_header.py b/tests/qc/test_header.py
index f860a71..2557e85 100644
--- a/tests/qc/test_header.py
+++ b/tests/qc/test_header.py
@@ -3,42 +3,13 @@ import pytest
from hypothesis import given
from hypothesis import strategies as st
-from quality_control.headers import valid_header
from quality_control.errors import InvalidValue, DuplicateHeading
-from quality_control.errors import DuplicateHeader, InvalidHeaderValue
from quality_control.headers import (
invalid_header, invalid_headings, duplicate_headings)
-@given(headers=st.lists(st.text(max_size=10)))
-def test_valid_header_errors_with_invalid_headers(headers):
- "Verify that the check for header validity works"
- with pytest.raises(InvalidHeaderValue):
- valid_header(("BXD1", "BXD2", "BXD3"), headers)
-
-@pytest.mark.parametrize(
- "strains,headers", [
- (("BXD1", "BXD2", "BXD3"), ("ProbeSet", "BXD3", "BXD1")),
- (("AStrain", "AnotherStrain", "YetAnotherStrain"),
- ("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain"))])
-def test_valid_header_strains_passes_with_valid_headers(strains, headers):
- "Verify that the check for header validity works"
- assert valid_header(strains, headers)
-
-@pytest.mark.parametrize(
- "strains,headers", [
- (("BXD1", "BXD2", "BXD3"), ("ProbeSet", "BXD3", "BXD1", "BXD1")),
- (("AStrain", "AnotherStrain", "YetAnotherStrain"),
- ("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain",
- "AStrain"))])
-def test_valid_header_fails_with_duplicate_headers(strains, headers):
- """Check that parsing fails if any header is duplicated"""
- with pytest.raises(DuplicateHeader):
- valid_header(strains, headers)
-
-## ============================================================
-
@given(headers=st.lists(st.text(max_size=10), max_size=1))
def test_invalid_header_with_list_of_one_value(headers):
+ """Test `invalid_header` with invalid header row"""
assert invalid_header(0, headers) == InvalidValue(
0, 0, "<TAB>".join(headers),
"The header MUST contain at least 2 columns")
@@ -51,13 +22,12 @@ def test_invalid_headings_with_invalid_inputs(headings):
for col, heading in enumerate(headings, start=2))
@pytest.mark.parametrize(
- "strains,headers", [
- (("BXD1", "BXD2", "BXD3"), ("ProbeSet", "BXD3", "BXD1")),
- (("AStrain", "AnotherStrain", "YetAnotherStrain"),
- ("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain"))])
-def test_invalid_header_with_valid_headers(strains, headers):
+ "headers", [
+ (("ProbeSet", "BXD3", "BXD1")),
+ (("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain"))])
+def test_invalid_header_with_valid_headers(headers):
"Verify that the check for header validity works"
- assert invalid_header(0, headers) == None
+ assert invalid_header(0, headers) is None
@pytest.mark.parametrize(
"strains,headings", [
@@ -76,7 +46,7 @@ def test_invalid_headings_with_valid_headings(strains, headings):
def test_duplicate_headers_with_repeated_column_headings(headers, repeated):
"""Check that parsing fails if any header is duplicated"""
assert duplicate_headings(0, headers) == tuple(
- DuplicateHeading(0, head, cols, (
+ DuplicateHeading(0, cols, head, (
f"Heading '{head}', is repeated in columns "
f"{','.join(str(i) for i in cols)}"))
for head, cols in repeated.items())
@@ -88,4 +58,3 @@ def test_duplicate_headers_with_repeated_column_headings(headers, repeated):
def test_duplicate_headers_with_unique_column_headings(headers):
"""Check that parsing fails if any header is duplicated"""
assert duplicate_headings(0, headers) == tuple()
-
diff --git a/tests/qc/test_parsing.py b/tests/qc/test_parsing.py
deleted file mode 100644
index 41739ad..0000000
--- a/tests/qc/test_parsing.py
+++ /dev/null
@@ -1,53 +0,0 @@
-"""Test the parsing of the files"""
-import pytest
-
-from quality_control.errors import ParseError
-from quality_control.parsing import FileType, parse_file
-
-@pytest.mark.parametrize(
- "filepath,filetype",
- (("tests/test_data/average_crlf.tsv", FileType.STANDARD_ERROR),
- ("tests/test_data/average_error_at_end_200MB.tsv",
- FileType.STANDARD_ERROR),
- ("tests/test_data/average.tsv", FileType.STANDARD_ERROR),
- ("tests/test_data/standarderror_1_error_at_end.tsv", FileType.AVERAGE),
- ("tests/test_data/standarderror.tsv", FileType.AVERAGE),
- ("tests/test_data/duplicated_headers_no_data_errors.tsv",
- FileType.STANDARD_ERROR),))
-def test_parse_file_fails_with_wrong_filetype_declaration(filepath, filetype, strains):
- """Check that parsing fails if the wrong file type is declared"""
- with pytest.raises(ParseError):
- for line in parse_file(filepath, filetype, strains): # pylint: disable=[unused-variable]
- pass
-
-@pytest.mark.parametrize(
- "filepath,filetype",
- (("tests/test_data/no_data_errors.tsv", FileType.AVERAGE),))
-def test_parse_file_passes_with_valid_files(filepath, filetype, strains):
- """Check that parsing succeeds with valid files"""
- for line in parse_file(filepath, filetype, strains):
- assert bool(line)
-
-@pytest.mark.slow
-@pytest.mark.parametrize(
- "filepath,filetype",
- (("tests/test_data/average_large_no_errors.tsv", FileType.AVERAGE),
- # ("tests/test_data/average_no_errors.tsv", FileType.AVERAGE),
- # ("tests/test_data/standarderror_no_errors.tsv", FileType.STANDARD_ERROR),
- ))
-def test_parse_file_works_with_large_files(filepath, filetype, strains):
- """Check that parsing succeeds even with large files."""
- for line in parse_file(filepath, filetype, strains):
- assert bool(line)
-
-@pytest.mark.slow
-@pytest.mark.parametrize(
- "filepath,filetype",
- (("tests/test_data/average_error_at_end_200MB.tsv", FileType.AVERAGE),
- ("tests/test_data/standarderror_1_error_at_end.tsv", FileType.STANDARD_ERROR),
- ("tests/test_data/duplicated_headers_no_data_errors.tsv", FileType.AVERAGE)))
-def test_parse_file_raises_exception_on_error_in_file(filepath, filetype, strains):
- "Check that parsing fails if any error is found in a file"
- with pytest.raises(ParseError):
- for line in parse_file(filepath, filetype, strains): # pylint: disable=[unused-variable]
- pass
generated by cgit v1.2.3 (git 2.44.0) at 2024-11-25 09:02:23 +0000