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Pandas.qll: remove unnecessary exists, fix class naming

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am0o0
2024-05-29 15:41:45 +02:00
parent fcd2bd6776
commit b1242e464e
1 changed files with 25 additions and 27 deletions
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52
python/ql/lib/semmle/python/frameworks/Pandas.qll
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@@ -102,31 +102,29 @@ private module Pandas {
*/
class DataFrameMethods extends DataFrame {
DataFrameMethods() {
exists(API::Node dataFrame | dataFrame = any(DataFrame df) |
this =
dataFrame
.getMember([
"copy", "from_records", "from_dict", "from_spmatrix", "assign", "select_dtypes",
"set_flags", "astype", "infer_objects", "head", "xs", "get", "isin", "where",
"mask", "query", "add", "mul", "truediv", "mod", "pow", "dot", "radd", "rsub",
"rdiv", "rfloordiv", "rtruediv", "rpow", "lt", "gt", "le", "ne", "agg",
"combine", "apply", "aggregate", "transform", "all", "any", "clip", "corr",
"cov", "cummax", "cummin", "cumprod", "describe", "mode", "pct_change",
"quantile", "rank", "round", "sem", "add_prefix", "add_suffix", "at_time",
"between_time", "drop", "drop_duplicates", "filter", "first", "head", "idxmin",
"last", "reindex", "reindex_like", "reset_index", "sample", "set_axis", "tail",
"take", "truncate", "bfill", "dropna", "ffill", "fillna", "interpolate", "isna",
"isnull", "notna", "notnull", "pad", "replace", "droplevel", "pivot",
"pivot_table", "reorder_levels", "sort_values", "sort_index", "nlargest",
"nsmallest", "swaplevel", "stack", "unstack", "isnull", "notna", "notnull",
"replace", "droplevel", "pivot", "pivot_table", "reorder_levels", "sort_values",
"sort_index", "nlargest", "nsmallest", "swaplevel", "stack", "unstack", "melt",
"explode", "squeeze", "T", "transpose", "compare", "join", "from_spmatrix",
"shift", "asof", "merge", "from_dict", "tz_convert", "to_period", "asfreq",
"to_dense", "tz_localize", "box", "__dataframe__"
])
.getReturn()
)
this =
any(DataFrame df)
.getMember([
"copy", "from_records", "from_dict", "from_spmatrix", "assign", "select_dtypes",
"set_flags", "astype", "infer_objects", "head", "xs", "get", "isin", "where",
"mask", "query", "add", "mul", "truediv", "mod", "pow", "dot", "radd", "rsub",
"rdiv", "rfloordiv", "rtruediv", "rpow", "lt", "gt", "le", "ne", "agg", "combine",
"apply", "aggregate", "transform", "all", "any", "clip", "corr", "cov", "cummax",
"cummin", "cumprod", "describe", "mode", "pct_change", "quantile", "rank",
"round", "sem", "add_prefix", "add_suffix", "at_time", "between_time", "drop",
"drop_duplicates", "filter", "first", "head", "idxmin", "last", "reindex",
"reindex_like", "reset_index", "sample", "set_axis", "tail", "take", "truncate",
"bfill", "dropna", "ffill", "fillna", "interpolate", "isna", "isnull", "notna",
"notnull", "pad", "replace", "droplevel", "pivot", "pivot_table",
"reorder_levels", "sort_values", "sort_index", "nlargest", "nsmallest",
"swaplevel", "stack", "unstack", "isnull", "notna", "notnull", "replace",
"droplevel", "pivot", "pivot_table", "reorder_levels", "sort_values",
"sort_index", "nlargest", "nsmallest", "swaplevel", "stack", "unstack", "melt",
"explode", "squeeze", "T", "transpose", "compare", "join", "from_spmatrix",
"shift", "asof", "merge", "from_dict", "tz_convert", "to_period", "asfreq",
"to_dense", "tz_localize", "box", "__dataframe__"
])
.getReturn()
}
}
}
@@ -136,8 +134,8 @@ private module Pandas {
* See https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.query.html
* https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.eval.html
*/
class DataFlowQueryCall extends CodeExecution::Range, API::CallNode {
DataFlowQueryCall() {
class CodeExecutionCall extends CodeExecution::Range, API::CallNode {
CodeExecutionCall() {
this = any(DataFrame::DataFrame df).getMember(["query", "eval"]).getACall()
}