fix_macos_CI (#1081)

Co-authored-by: Linlang Lv (iSoftStone) <v-linlanglv@microsoft.com>

.github/workflows/test_macos.yml

@@ -38,7 +38,6 @@ jobs:
       run: |
         pip install --upgrade pip
         pip install flake8
-          cd ..
         flake8 --ignore=E501,F541,E266,E402,W503,E731,E203 qlib
 
     - name: Install Qlib with pip

scripts/data_collector/br_index/collector.py

@@ -108,7 +108,6 @@ class IBOVIndex(IndexBase):
             self.years_4_month_periods.append(str(current_year) + "_" + str(i + 1) + "Q")
         return self.years_4_month_periods
 
-
     def format_datetime(self, inst_df: pd.DataFrame) -> pd.DataFrame:
         """formatting the datetime in an instrument
 
@@ -189,11 +188,19 @@ class IBOVIndex(IndexBase):
         try:
             df_changes_list = []
             for i in tqdm(range(len(self.years_4_month_periods) - 1)):
-                df = pd.read_csv(self.ibov_index_composition.format(self.years_4_month_periods[i]), on_bad_lines="skip")["symbol"]
-                df_ = pd.read_csv(self.ibov_index_composition.format(self.years_4_month_periods[i + 1]), on_bad_lines="skip")["symbol"]
+                df = pd.read_csv(
+                    self.ibov_index_composition.format(self.years_4_month_periods[i]), on_bad_lines="skip"
+                )["symbol"]
+                df_ = pd.read_csv(
+                    self.ibov_index_composition.format(self.years_4_month_periods[i + 1]), on_bad_lines="skip"
+                )["symbol"]
 
                 ## Remove Dataframe
-                remove_date = self.years_4_month_periods[i].split("_")[0] + "-" + quarter_dict[self.years_4_month_periods[i].split("_")[1]]
+                remove_date = (
+                    self.years_4_month_periods[i].split("_")[0]
+                    + "-"
+                    + quarter_dict[self.years_4_month_periods[i].split("_")[1]]
+                )
                 list_remove = list(df[~df.isin(df_)])
                 df_removed = pd.DataFrame(
                     {
@@ -204,7 +211,11 @@ class IBOVIndex(IndexBase):
                 )
 
                 ## Add Dataframe
-                add_date = self.years_4_month_periods[i + 1].split("_")[0] + "-" + quarter_dict[self.years_4_month_periods[i + 1].split("_")[1]]
+                add_date = (
+                    self.years_4_month_periods[i + 1].split("_")[0]
+                    + "-"
+                    + quarter_dict[self.years_4_month_periods[i + 1].split("_")[1]]
+                )
                 list_add = list(df_[~df_.isin(df)])
                 df_added = pd.DataFrame(
                     {"date": len(list_add) * [add_date], "type": len(list_add) * ["add"], "symbol": list_add}
@@ -272,6 +283,5 @@ class IBOVIndex(IndexBase):
             return df.loc[:, ["Código"]].copy()
 
 
-
 if __name__ == "__main__":
     fire.Fire(partial(get_instruments, market_index="br_index"))

scripts/data_collector/us_index/collector.py

@@ -271,6 +271,5 @@ class SP400Index(WIKIIndex):
         logger.warning(f"No suitable data source has been found!")
 
 
-
 if __name__ == "__main__":
     fire.Fire(partial(get_instruments, market_index="us_index"))

scripts/data_collector/utils.py

@@ -559,6 +559,7 @@ def generate_minutes_calendar_from_daily(
 
     return pd.Index(sorted(set(np.hstack(res))))
 
+
 def get_instruments(
     qlib_dir: str,
     index_name: str,
@@ -566,7 +567,7 @@ def get_instruments(
     freq: str = "day",
     request_retry: int = 5,
     retry_sleep: int = 3,
-    market_index: str = "cn_index"
+    market_index: str = "cn_index",
 ):
     """
 

scripts/data_collector/yahoo/collector.py

@@ -317,7 +317,7 @@ class YahooCollectorIN1min(YahooCollectorIN):
 
 class YahooCollectorBR(YahooCollector, ABC):
     def retry(cls):
-        """"
+        """
         The reason to use retry=2 is due to the fact that
         Yahoo Finance unfortunately does not keep track of some
         Brazilian stocks.