diff --git a/dios/dios/base.py b/dios/dios/base.py
index 29c0601bc044c5f3e4ff4a66670ff9973da9a994..ad9a3698511d13c8d912e6e7a16ac0ddab03ff8c 100644
--- a/dios/dios/base.py
+++ b/dios/dios/base.py
@@ -47,7 +47,6 @@ class _DiosBase:
cast_policy="save",
fastpath=False,
):
-
self._attrs = {}
self.cast_policy = cast_policy # set via property
@@ -62,7 +61,6 @@ class _DiosBase:
self._data = pd.Series(dtype="O", index=columns)
else:
-
if index is not None and not isinstance(index, pd.Index):
index = pd.Index(index)
@@ -295,7 +293,6 @@ class _DiosBase:
self._data.at[c][series.index] = series
def _setitem_listlike(self, data, value):
-
value = value.values if isinstance(value, pd.Series) else value
if len(value) != len(data.columns):
diff --git a/dios/dios/indexer.py b/dios/dios/indexer.py
index f045a4f51d3d212f4a6cf4157c51903bc354caae..cbf0ffa5631f74048e8994875532c49627263d3e 100644
--- a/dios/dios/indexer.py
+++ b/dios/dios/indexer.py
@@ -15,7 +15,6 @@ class _Indexer:
self._data = obj._data
def _unpack_key(self, key):
-
key = list(key) if pdextra.is_iterator(key) else key
if isinstance(key, tuple):
@@ -89,7 +88,6 @@ class _LocIndexer(_Indexer):
super().__init__(*args, **kwargs)
def __getitem__(self, key):
-
rowkey, colkey = self._unpack_key(key)
if _is_dios_like(rowkey) or _is_dios_like(colkey):
raise ValueError("Could not index with multidimensional key")
@@ -109,7 +107,6 @@ class _LocIndexer(_Indexer):
else:
k = "?"
try:
-
for k in data.index:
data.at[k] = data.at[k].loc[rowkey]
@@ -128,14 +125,12 @@ class _LocIndexer(_Indexer):
return new
def __setitem__(self, key, value):
-
rowkey, colkey = self._unpack_key(key)
if _is_dios_like(rowkey) or _is_dios_like(colkey):
raise ValueError("Cannot index with multi-dimensional key")
# .loc[any, scalar] - set on single column
if pdextra.is_hashable(colkey):
-
# .loc[dont-care, new-scalar] = val
if colkey not in self.obj.columns:
self.obj._insert(colkey, value)
@@ -180,7 +175,6 @@ class _iLocIndexer(_Indexer):
else:
k = "?"
try:
-
for k in data.index:
data.at[k] = data.at[k].iloc[rowkey]
@@ -248,7 +242,6 @@ class _aLocIndexer(_Indexer):
c = "?"
try:
-
for i, c in enumerate(data.index):
data.at[c] = self._data.at[c].loc[rowkeys[i]]
@@ -268,7 +261,6 @@ class _aLocIndexer(_Indexer):
def iter_self(colkeys, position=False):
c = "?"
try:
-
for i, c in enumerate(colkeys):
dat = self._data.at[c]
rk = rowkeys[i]
@@ -347,7 +339,6 @@ class _aLocIndexer(_Indexer):
# .aloc[dios]
if _is_dios_like(rowkey):
-
if not pdextra.is_null_slice(colkey):
raise ValueError(
f"Could not index with a dios-like indexer as rowkey,"
@@ -385,7 +376,6 @@ class _aLocIndexer(_Indexer):
return rowkey, colkey, lowdim
def _get_rowkey(self, rowkey, colkey, depth=0):
-
if pdextra.is_nested_list_like(rowkey) and depth == 0:
rowkey = rowkey.values if isinstance(rowkey, pd.Series) else rowkey
if len(rowkey) != len(colkey):
diff --git a/dios/profiling/generate_testsets.py b/dios/profiling/generate_testsets.py
index 6c121c805066608b15d137ab4de37c0c2f00bdd2..42c24c97e7921aa7f7504a01af6862c0f7ae543a 100644
--- a/dios/profiling/generate_testsets.py
+++ b/dios/profiling/generate_testsets.py
@@ -25,7 +25,6 @@ def _gen_testset(rowsz, colsz, freq="1min", disalign=True, randstart=True):
freqv = int(freq[: -len(frequ)])
for i in range(colsz):
-
if randstart:
# generate random startpoint for each series
r = str(np.random.randint(int(rowsz * 0.05), int(rowsz * 0.6) + 2)) + frequ
diff --git a/dios/profiling/memory.py b/dios/profiling/memory.py
index 7341c3ab27bc14f10b2e162cb685e2a4b3e12c4a..3078c654936182266f1dd4be76300cb30eb661bd 100644
--- a/dios/profiling/memory.py
+++ b/dios/profiling/memory.py
@@ -40,7 +40,6 @@ def rows_by_time(nsec, mdays):
if __name__ == "__main__":
-
# dios - linear in rows and colums, same size for r=10,c=100 or r=100,c=10
do_real_check = True
cols = 10
diff --git a/dios/test/test_dflike.py b/dios/test/test_dflike.py
index 550fd0e2e019372a691a4b1a3edb09e6dd9c982c..445b4e0785adb32cf3289c8c4d2441e0a4ff2f1a 100644
--- a/dios/test/test_dflike.py
+++ b/dios/test/test_dflike.py
@@ -33,7 +33,6 @@ TESTDATA = [
@pytest.mark.parametrize("data", TESTDATA)
@pytest.mark.parametrize("with_column_param", [False, True])
def test_dios_create(data, with_column_param):
-
data_copy0 = deepcopy(data)
data_copy1 = deepcopy(data)
diff --git a/dios/test/test_dflike__setget__.py b/dios/test/test_dflike__setget__.py
index 9ce2aa2e3ed6129873ae97a74bc50f6297a31f70..7388d58e0dee1a5cd7f3861f371304b320d3311d 100644
--- a/dios/test/test_dflike__setget__.py
+++ b/dios/test/test_dflike__setget__.py
@@ -8,7 +8,6 @@ from .test_setup import *
def _test(res, exp):
-
if isinstance(exp, pd.DataFrame):
eq, msg = dios_eq_df(res, exp, with_msg=True)
assert eq, msg
diff --git a/saqc/__main__.py b/saqc/__main__.py
index 58d83731a2b675b4386db604b650b027beec9a1b..24ba5b8b09ac4ce7ee049da2b177728580b72c3d 100644
--- a/saqc/__main__.py
+++ b/saqc/__main__.py
@@ -117,7 +117,6 @@ def main(config, data, scheme, outfile, nodata, log_level):
flags_result = flags_result.to_df()
if outfile:
-
data_result.columns = pd.MultiIndex.from_product(
[data_result.columns.tolist(), ["data"]]
)
diff --git a/saqc/constants.py b/saqc/constants.py
index 839795e0e02e1d8cc1b3f3a3cefb7119e9e01eda..985bcbdc12348c96def01dd41def071559dc28d4 100644
--- a/saqc/constants.py
+++ b/saqc/constants.py
@@ -56,6 +56,7 @@ BAD = 255.0
FILTER_ALL = -np.inf
FILTER_NONE = np.inf
+
# ----------------------------------------------------------------------
# other
# ----------------------------------------------------------------------
diff --git a/saqc/core/core.py b/saqc/core/core.py
index 021f22f08d0823710f63d131534c9bff0edc66d6..ebce7c049c1ed9ded44bbc04202106e46b6f84f4 100644
--- a/saqc/core/core.py
+++ b/saqc/core/core.py
@@ -152,7 +152,6 @@ class SaQC(FunctionsMixin):
)
def _initData(self, data) -> DictOfSeries:
-
if data is None:
return DictOfSeries()
diff --git a/saqc/core/flags.py b/saqc/core/flags.py
index a1602507599b3d62bf4a800146202c83add8fe4f..34042c8a9c2b505c79d5cae097b9ac6b824bd18b 100644
--- a/saqc/core/flags.py
+++ b/saqc/core/flags.py
@@ -192,7 +192,6 @@ class Flags:
"""
def __init__(self, raw_data: DictLike | Flags | None = None, copy: bool = False):
-
self._data: dict[str, History]
if raw_data is None:
@@ -215,7 +214,6 @@ class Flags:
result = {}
for k, item in data.items():
-
if not isinstance(k, str):
raise ValueError("column names must be string")
if k in result:
@@ -524,7 +522,6 @@ def initFlagsLike(
reference = reference.to_frame(name=name)
for k, item in reference.items():
-
if not isinstance(k, str):
raise TypeError(
f"cannot use '{k}' as a column name, currently only string keys are allowed"
diff --git a/saqc/core/history.py b/saqc/core/history.py
index e9cf472bfc6a186393bc650d18012f70a286de0c..480c9593a56fa0bfcdea15db7375ef8711c2ca6b 100644
--- a/saqc/core/history.py
+++ b/saqc/core/history.py
@@ -45,7 +45,6 @@ class History:
"""
def __init__(self, index: pd.Index | None):
-
self._hist = pd.DataFrame(index=index)
self._meta = []
@@ -451,7 +450,6 @@ class History:
return len(self._hist.columns)
def __repr__(self):
-
if self.empty:
return str(self._hist).replace("DataFrame", "History")
diff --git a/saqc/core/reader.py b/saqc/core/reader.py
index 781190cc85e761c056e6371a67fea01ef67c37d0..b5ff437875f2bb225a05f5a2ae082b7a8ee1db3e 100644
--- a/saqc/core/reader.py
+++ b/saqc/core/reader.py
@@ -44,7 +44,6 @@ def _closeFile(fobj):
def readFile(fname) -> pd.DataFrame:
-
fobj = _openFile(fname)
out = []
@@ -81,7 +80,6 @@ def fromConfig(fname, *args, **func_kwargs):
config = readFile(fname)
for _, field, expr in config.itertuples():
-
regex = False
if isQuoted(field):
fld = field[1:-1]
diff --git a/saqc/core/register.py b/saqc/core/register.py
index cdbcc48a36fec9b474833799cab6b41a674dc476..7ac2c33ec8bae3386878d1fbd3c6d56b3d59e1d5 100644
--- a/saqc/core/register.py
+++ b/saqc/core/register.py
@@ -136,7 +136,6 @@ def _squeezeFlags(old_flags, new_flags: Flags, columns: pd.Index, meta) -> Flags
for col in columns.union(
new_flags.columns.difference(old_flags.columns)
): # account for newly added columns
-
if col not in out: # ensure existence
out.history[col] = History(index=new_flags.history[col].index)
@@ -202,7 +201,6 @@ def _unmaskData(
columns = mask.columns.intersection(columns)
for c in columns:
-
# ignore
if data[c].empty or mask[c].empty:
continue
@@ -315,7 +313,6 @@ def register(
"""
def outer(func: Callable[P, SaQC]) -> Callable[P, SaQC]:
-
func_signature = inspect.signature(func)
_checkDecoratorKeywords(
func_signature, func.__name__, mask, demask, squeeze, handles_target
@@ -330,7 +327,6 @@ def register(
flag: ExternalFlag | OptionalNone = OptionalNone(),
**kwargs,
) -> "SaQC":
-
# args -> kwargs
paramnames = tuple(func_signature.parameters.keys())[
2:
diff --git a/saqc/core/translation/basescheme.py b/saqc/core/translation/basescheme.py
index c9b2b38643bf824ee7c81819930a258939a8198d..b7a3d67f4d8df76d996aa9dcee77144fbc77e957 100644
--- a/saqc/core/translation/basescheme.py
+++ b/saqc/core/translation/basescheme.py
@@ -200,7 +200,6 @@ class FloatScheme(TranslationScheme):
DFILTER_DEFAULT: float = FILTER_ALL
def __call__(self, flag: float | int) -> float:
-
try:
return float(flag)
except (TypeError, ValueError, OverflowError):
diff --git a/saqc/core/translation/dmpscheme.py b/saqc/core/translation/dmpscheme.py
index c8598a8fa254ea1d958647aa5fe6f1fed4cdf04f..17f958484643941cc1641d0cebb1ad69a4e93d67 100644
--- a/saqc/core/translation/dmpscheme.py
+++ b/saqc/core/translation/dmpscheme.py
@@ -139,7 +139,6 @@ class DmpScheme(MappingScheme):
)
for field in tflags.columns:
-
df = pd.DataFrame(
{
"quality_flag": tflags[field],
@@ -150,7 +149,6 @@ class DmpScheme(MappingScheme):
history = flags.history[field]
for col in history.columns:
-
valid = (history.hist[col] != UNFLAGGED) & history.hist[col].notna()
# extract from meta
@@ -191,7 +189,6 @@ class DmpScheme(MappingScheme):
)
for field in df.columns.get_level_values(0):
-
# we might have NaN injected by DictOfSeries -> DataFrame conversions
field_df = df[field].dropna(how="all", axis="index")
flags = field_df["quality_flag"]
diff --git a/saqc/core/translation/positionalscheme.py b/saqc/core/translation/positionalscheme.py
index e4dea64b380fb5be7a26b1a8debf137ee808d0cd..23b724293b121a15ba0ba3988ea60e250e1b085a 100644
--- a/saqc/core/translation/positionalscheme.py
+++ b/saqc/core/translation/positionalscheme.py
@@ -59,7 +59,6 @@ class PositionalScheme(MappingScheme):
data = {}
for field, field_flags in flags.items():
-
# explode the flags into sperate columns and drop the leading `9`
df = pd.DataFrame(
field_flags.astype(str).str.slice(start=1).apply(tuple).tolist(),
diff --git a/saqc/core/visitor.py b/saqc/core/visitor.py
index b5a7b33b902d36e749f2723b2b5c57dc6c4aa481..294a5a812807d91326ce8ea635e1f4b353c84f4c 100644
--- a/saqc/core/visitor.py
+++ b/saqc/core/visitor.py
@@ -81,7 +81,6 @@ class ConfigExpressionParser(ast.NodeVisitor):
class ConfigFunctionParser(ast.NodeVisitor):
-
SUPPORTED_NODES = (
ast.Call,
ast.Num,
@@ -107,7 +106,6 @@ class ConfigFunctionParser(ast.NodeVisitor):
return func, self.kwargs
def visit_Call(self, node):
-
if not isinstance(node, ast.Call):
raise TypeError("expected function call")
@@ -126,7 +124,6 @@ class ConfigFunctionParser(ast.NodeVisitor):
return func_name
def visit_keyword(self, node):
-
key, value = node.arg, node.value
check_tree = True
diff --git a/saqc/funcs/curvefit.py b/saqc/funcs/curvefit.py
index bed9088ae7accd2b0163dbd2d4a3d4d0d6d630a5..0444d7983ddf695d1458757f1b506ea5b756c292 100644
--- a/saqc/funcs/curvefit.py
+++ b/saqc/funcs/curvefit.py
@@ -169,7 +169,6 @@ def _fitPolynomial(
min_periods: int = 0,
**kwargs,
) -> Tuple[DictOfSeries, Flags]:
-
# TODO: some (rather large) parts are functional similar to saqc.funcs.rolling.roll
if data[field].empty:
return data, flags
diff --git a/saqc/funcs/drift.py b/saqc/funcs/drift.py
index aaf9e410e6975da065a71786a608d77d270cdce0..4560c2058237589ea9ab545f519b8ab437b1adc6 100644
--- a/saqc/funcs/drift.py
+++ b/saqc/funcs/drift.py
@@ -144,7 +144,6 @@ class DriftMixin:
segments = data_to_flag.groupby(pd.Grouper(freq=freq))
for segment in segments:
-
if segment[1].shape[0] <= 1:
continue
@@ -229,7 +228,6 @@ class DriftMixin:
segments = data_to_flag.groupby(pd.Grouper(freq=freq))
for segment in segments:
-
if segment[1].shape[0] <= 1:
continue
diff --git a/saqc/funcs/generic.py b/saqc/funcs/generic.py
index 67237dd5666dafaa1268b46cf0ea4b3f9e105f73..556f6bfb29f6d47ff1e75159bb40849fcbb756ef 100644
--- a/saqc/funcs/generic.py
+++ b/saqc/funcs/generic.py
@@ -63,7 +63,6 @@ def _execGeneric(
func: GenericFunction,
dfilter: float = FILTER_ALL,
) -> DictOfSeries:
-
globs = {
"isflagged": lambda data, label=None: _isflagged(
_flagSelect(data.name, flags, label), thresh=dfilter
@@ -171,7 +170,6 @@ class GenericMixin:
# update data & flags
for i, col in enumerate(targets):
-
datacol = result.iloc[:, i]
self._data[col] = datacol
@@ -291,7 +289,6 @@ class GenericMixin:
# update flags & data
for i, col in enumerate(targets):
-
maskcol = result.iloc[:, i]
# make sure the column exists
diff --git a/saqc/funcs/outliers.py b/saqc/funcs/outliers.py
index 1fc519f035502bbfa0bbed2dc623138260c85de3..05ee5fe85f59b1bba4b8f0f5b61471d02d0a26e7 100644
--- a/saqc/funcs/outliers.py
+++ b/saqc/funcs/outliers.py
@@ -149,7 +149,6 @@ class OutliersMixin:
# calculate flags for every partition
for _, partition in partitions:
-
if partition.empty | (partition.shape[0] < min_periods):
continue
@@ -1042,7 +1041,6 @@ class OutliersMixin:
df = self._data[fields].loc[self._data[fields].index_of("shared")].to_df()
if isinstance(method, str):
-
if method == "modZscore":
MAD_series = df.subtract(df.median(axis=1), axis=0).abs().median(axis=1)
diff_scores = (
@@ -1062,7 +1060,6 @@ class OutliersMixin:
raise ValueError(method)
else:
-
try:
stat = getattr(df, method.__name__)(axis=1)
except AttributeError:
@@ -1248,7 +1245,6 @@ def _evalStrayLabels(
for var in target:
for index in enumerate(to_flag_frame.index):
-
index_slice = slice(
index[1] - pd.Timedelta(reduction_range),
index[1] + pd.Timedelta(reduction_range),
diff --git a/saqc/funcs/pattern.py b/saqc/funcs/pattern.py
index 43e4f5f97d26b27391d4d67a3754b9f8776b9019..c3d02be0a55ad27ed4a3551858a8334de9f34155 100644
--- a/saqc/funcs/pattern.py
+++ b/saqc/funcs/pattern.py
@@ -88,7 +88,6 @@ def calculateDistanceByDTW(
class PatternMixin:
-
# todo should we mask `reference` even if the func fail if reference has NaNs
@flagging()
def flagPatternByDTW(
diff --git a/saqc/lib/rolling.py b/saqc/lib/rolling.py
index aa2faee30cf283df0dec4593c1ba18e065139d4b..eb15343e04914c1901bfb7a4b546584af522d2b2 100644
--- a/saqc/lib/rolling.py
+++ b/saqc/lib/rolling.py
@@ -30,12 +30,10 @@ class ForwardMixin:
center: bool | None = None,
closed: str | None = None,
) -> tuple[np.ndarray, np.ndarray]:
-
if closed is None:
closed = "right"
if self.forward:
-
# this is only set with variable window indexer
if self.index_array is not None: # noqa
self.index_array = self.index_array[::-1] # noqa
diff --git a/saqc/lib/tools.py b/saqc/lib/tools.py
index 5f3fdd7a0bc4e990f7c379a0a07103e26861b78c..41a3cd96172b0c25bd06eb706c5e1b7425a140ec 100644
--- a/saqc/lib/tools.py
+++ b/saqc/lib/tools.py
@@ -245,7 +245,6 @@ def estimateFrequency(
max_freqs=10,
bins=None,
):
-
"""
Function to estimate the sampling rate of an index.
diff --git a/saqc/lib/types.py b/saqc/lib/types.py
index 0e84ff16272d96cd7e206c6287e303a4cf986e62..2c11b3c7768342192a431d0b7ce94027892b6ab2 100644
--- a/saqc/lib/types.py
+++ b/saqc/lib/types.py
@@ -43,7 +43,6 @@ class CurveFitter(Protocol):
class GenericFunction(Protocol):
-
__name__: str
__globals__: Dict[str, Any]
diff --git a/tests/core/test_reader.py b/tests/core/test_reader.py
index 70a00d0164b14daea1014d952850a6702b446815..f6b55f31b240a396e662663acc7533c8e2724bfe 100644
--- a/tests/core/test_reader.py
+++ b/tests/core/test_reader.py
@@ -31,7 +31,6 @@ def getTestedVariables(flags: Flags, test: str):
def test_variableRegex(data):
-
header = f"varname;test"
function = "flagDummy"
tests = [
@@ -92,7 +91,6 @@ def test_configReaderLineNumbers():
@pytest.mark.filterwarnings("ignore::RuntimeWarning")
def test_configFile(data):
-
# check that the reader accepts different whitespace patterns
config = f"""
@@ -111,7 +109,6 @@ def test_configFile(data):
def test_configChecks(data):
-
var1, _, var3, *_ = data.columns
@flagging()
@@ -134,7 +131,6 @@ def test_configChecks(data):
def test_supportedArguments(data):
-
# test if the following function arguments
# are supported (i.e. parsing does not fail)
diff --git a/tests/core/test_translator.py b/tests/core/test_translator.py
index 9d4a6c706847f6de253d616354e1797271e82f9d..cfacdbd12135c363c6145e458b0694524878da00 100644
--- a/tests/core/test_translator.py
+++ b/tests/core/test_translator.py
@@ -32,7 +32,6 @@ def _genTranslators():
def _genFlags(data: Dict[str, Union[Sequence, pd.Series]]) -> Flags:
-
flags = Flags()
for k, v in data.items():
if not isinstance(v, pd.Series):
@@ -76,7 +75,6 @@ def test_backwardTranslationFail():
def test_dmpTranslator():
-
scheme = DmpScheme()
# generate a bunch of dummy flags
keys = np.array(tuple(scheme._backward.keys()) * 50)
@@ -144,7 +142,6 @@ def test_positionalTranslator():
def test_positionalTranslatorIntegration():
-
data = initData(3)
col: str = data.columns[0]
@@ -164,7 +161,6 @@ def test_positionalTranslatorIntegration():
def test_dmpTranslatorIntegration():
-
data = initData(1)
col = data.columns[0]
@@ -211,7 +207,6 @@ def test_dmpValidCombinations():
def _buildupSaQCObjects():
-
"""
return two evaluated saqc objects calling the same functions,
whereas the flags from the evaluetion of the first objetc are
@@ -233,7 +228,6 @@ def _buildupSaQCObjects():
def test_translationPreservesFlags():
-
saqc1, saqc2 = _buildupSaQCObjects()
flags1 = saqc1._flags
flags2 = saqc2._flags
@@ -270,7 +264,6 @@ def test_multicallsPreserveHistory():
def test_positionalMulitcallsPreserveState():
-
saqc1, saqc2 = _buildupSaQCObjects()
scheme = PositionalScheme()
diff --git a/tests/fixtures.py b/tests/fixtures.py
index f1c356590bd4f3a87c954ce123ae40eb546f24f2..ea11559296a8b59b4cfbd8d3ae18ab5cd8ccc010 100644
--- a/tests/fixtures.py
+++ b/tests/fixtures.py
@@ -69,6 +69,7 @@ def course_2(char_dict):
one "anomalous" or "outlierish" value of magnitude "out_val" at position "periods/2"
number of periods better be even!
"""
+
# SINGLE_SPIKE
def fix_funk(
freq="10min",
@@ -149,7 +150,6 @@ def course_3(char_dict):
crowd_size=5,
crowd_spacing=1,
):
-
t_index = pd.date_range(initial_index, freq=freq, periods=periods)
data = np.linspace(initial_level, final_level, int(np.floor(len(t_index))))
data = pd.Series(data=data, index=t_index)
diff --git a/tests/funcs/test_flagtools.py b/tests/funcs/test_flagtools.py
index f885c91e1a106d44ac69f2fe22784d4fcb6ff47d..6286a2145425ab1856f490704bc9ab0a6b2a1166 100644
--- a/tests/funcs/test_flagtools.py
+++ b/tests/funcs/test_flagtools.py
@@ -110,7 +110,6 @@ def test_propagateFlagsIrregularIndex(got, expected, kwargs):
],
)
def test_andGroup(left, right, expected):
-
data = pd.DataFrame({"data": [1, 2, 3, 4]})
base = SaQC(data=data)
@@ -130,7 +129,6 @@ def test_andGroup(left, right, expected):
],
)
def test_orGroup(left, right, expected):
-
data = pd.DataFrame({"data": [1, 2, 3, 4]})
base = SaQC(data=data)
@@ -150,7 +148,6 @@ def test_orGroup(left, right, expected):
],
)
def test__groupOperation(left, right, expected):
-
data = pd.DataFrame(
{"x": [0, 1, 2, 3], "y": [0, 11, 22, 33], "z": [0, 111, 222, 333]}
)
diff --git a/tests/funcs/test_generic_api_functions.py b/tests/funcs/test_generic_api_functions.py
index 6f3c77691bec10bb084b3149cbb422a43d17fe91..dd1c7f4aea68e8cea28cd8fdd6172707bea1ab21 100644
--- a/tests/funcs/test_generic_api_functions.py
+++ b/tests/funcs/test_generic_api_functions.py
@@ -74,7 +74,6 @@ def test_writeTargetFlagGeneric(data, targets, func):
],
)
def test_overwriteFieldFlagGeneric(data, fields, func):
-
flag = 12
expected_meta = {
diff --git a/tests/funcs/test_generic_config_functions.py b/tests/funcs/test_generic_config_functions.py
index 1106cb21718f19e131d8e72b7c6e653d3cb371d1..3f61e775647c705512cb21ed572bfcf2c9237a9c 100644
--- a/tests/funcs/test_generic_config_functions.py
+++ b/tests/funcs/test_generic_config_functions.py
@@ -95,7 +95,6 @@ def test_comparisonOperators(data):
def test_arithmeticOperators(data):
-
var1, *_ = data.columns
data = data[var1]
@@ -150,7 +149,6 @@ def test_bitOps(data):
def test_variableAssignments(data):
-
config = f"""
varname ; test
dummy1 ; processGeneric(field=["var1", "var2"], func=x + y)
@@ -218,7 +216,6 @@ def test_flagTargetExistingFail(data_diff):
@pytest.mark.slow
def test_callableArgumentsUnary(data):
-
window = 5
@register(mask=["field"], demask=["field"], squeeze=["field"])
@@ -239,7 +236,7 @@ def test_callableArgumentsUnary(data):
("std(exp(x))", lambda x: np.std(np.exp(x))),
]
- for (name, func) in tests:
+ for name, func in tests:
fobj = writeIO(config.format(name))
result_config = fromConfig(fobj, data).data
result_api = SaQC(data).testFuncUnary(var, func=func).data
@@ -266,7 +263,7 @@ def test_callableArgumentsBinary(data):
("y - (x * 2)", lambda y, x: y - (x * 2)),
]
- for (name, func) in tests:
+ for name, func in tests:
fobj = writeIO(config.format(name))
result_config = fromConfig(fobj, data).data
result_api = SaQC(data).testFuncBinary(var1, func=func).data
@@ -276,7 +273,6 @@ def test_callableArgumentsBinary(data):
def test_isflagged(data):
-
var1, var2, *_ = data.columns
flags = initFlagsLike(data)
flags[data[var1].index[::2], var1] = BAD
diff --git a/tests/fuzzy/lib.py b/tests/fuzzy/lib.py
index b8f4435e32341f43efde4cc81fc910a9e4d341b4..6210389fb18e13333da604ea6f82c207af2ac672 100644
--- a/tests/fuzzy/lib.py
+++ b/tests/fuzzy/lib.py
@@ -134,7 +134,6 @@ def functionCalls(draw, module: str = None):
@contextmanager
def applyStrategies(strategies: dict):
-
for dtype, strategy in strategies.items():
register_type_strategy(dtype, strategy)