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fix_typo (#790)

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Signed-off-by: unknown <lv.linlang@qq.com>
This commit is contained in:
SunsetWolf
2021-12-31 22:14:47 +08:00
committed by GitHub
parent f59cfe51e0
commit dfc0ed3c01
56 changed files with 92 additions and 92 deletions
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10
qlib/data/cache.py
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@@ -359,7 +359,7 @@ class ExpressionCache(BaseProviderCache):
def update(self, cache_uri: Union[str, Path], freq: str = "day"):
"""Update expression cache to latest calendar.
Overide this method to define how to update expression cache corresponding to users' own cache mechanism.
Override this method to define how to update expression cache corresponding to users' own cache mechanism.
Parameters
----------
@@ -445,7 +445,7 @@ class DatasetCache(BaseProviderCache):
def update(self, cache_uri: Union[str, Path], freq: str = "day"):
"""Update dataset cache to latest calendar.
Overide this method to define how to update dataset cache corresponding to users' own cache mechanism.
Override this method to define how to update dataset cache corresponding to users' own cache mechanism.
Parameters
----------
@@ -543,7 +543,7 @@ class DiskExpressionCache(ExpressionCache):
# instance
series = self.provider.expression(instrument, field, _calendar[0], _calendar[-1], freq)
if not series.empty:
# This expresion is empty, we don't generate any cache for it.
# This expression is empty, we don't generate any cache for it.
with CacheUtils.writer_lock(self.r, f"{str(C.dpm.get_data_uri(freq))}:expression-{_cache_uri}"):
self.gen_expression_cache(
expression_data=series,
@@ -858,7 +858,7 @@ class DiskDatasetCache(DatasetCache):
"""gen_dataset_cache
.. note:: This function does not consider the cache read write lock. Please
Aquire the lock outside this function
Acquire the lock outside this function
The format the cache contains 3 parts(followed by typical filename).
@@ -1035,7 +1035,7 @@ class DiskDatasetCache(DatasetCache):
# FIXME:
# Because the feature cache are stored as .bin file.
# So the series read from features are all float32.
# However, the first dataset cache is calulated based on the
# However, the first dataset cache is calculated based on the
# raw data. So the data type may be float64.
# Different data type will result in failure of appending data
if "/{}".format(DatasetCache.HDF_KEY) in store.keys():