XufengDuan commited on
Commit
db0619e
·
1 Parent(s): f04439c

update scripts

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -142,13 +142,13 @@ def update_table(
142
  hidden_df: pd.DataFrame,
143
  columns: list,
144
  #type_query: list,
145
- precision_query: str,
146
  size_query: list,
147
- show_deleted: bool,
148
  query: str,
149
  ):
150
  # filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, show_deleted)
151
- filtered_df = filter_models(hidden_df, size_query, precision_query, show_deleted)
152
  filtered_df = filter_queries(query, filtered_df)
153
  df = select_columns(filtered_df, columns)
154
  return df
@@ -191,7 +191,7 @@ def filter_queries(query: str, filtered_df: pd.DataFrame) -> pd.DataFrame:
191
 
192
  def filter_models(
193
  # df: pd.DataFrame, type_query: list, size_query: list, precision_query: list, show_deleted: bool
194
- df: pd.DataFrame, size_query: list, precision_query: list, show_deleted: bool
195
  ) -> pd.DataFrame:
196
  # Show all models
197
  # if show_deleted:
@@ -203,7 +203,7 @@ def filter_models(
203
 
204
  # type_emoji = [t[0] for t in type_query]
205
  #filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
206
- filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
207
 
208
  numeric_interval = pd.IntervalIndex(sorted([utils.NUMERIC_INTERVALS[s] for s in size_query]))
209
  params_column = pd.to_numeric(df[utils.AutoEvalColumn.params.name], errors="coerce")
 
142
  hidden_df: pd.DataFrame,
143
  columns: list,
144
  #type_query: list,
145
+ #precision_query: str,
146
  size_query: list,
147
+ #show_deleted: bool,
148
  query: str,
149
  ):
150
  # filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, show_deleted)
151
+ filtered_df = filter_models(hidden_df, size_query)
152
  filtered_df = filter_queries(query, filtered_df)
153
  df = select_columns(filtered_df, columns)
154
  return df
 
191
 
192
  def filter_models(
193
  # df: pd.DataFrame, type_query: list, size_query: list, precision_query: list, show_deleted: bool
194
+ df: pd.DataFrame, size_query: list # precision_query: list, show_deleted: bool
195
  ) -> pd.DataFrame:
196
  # Show all models
197
  # if show_deleted:
 
203
 
204
  # type_emoji = [t[0] for t in type_query]
205
  #filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
206
+ #filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
207
 
208
  numeric_interval = pd.IntervalIndex(sorted([utils.NUMERIC_INTERVALS[s] for s in size_query]))
209
  params_column = pd.to_numeric(df[utils.AutoEvalColumn.params.name], errors="coerce")