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fix: resolve pyright type errors in Python analysis modules

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Pratik Bhadane
2026-04-01 20:19:47 +05:30
parent 5015716692
commit 262f0a2916
2 changed files with 4 additions and 5 deletions
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python/ferro_ta/analysis/backtest.py
+3 -4
View File
@@ -112,9 +112,8 @@ def format_currency(amount: float, currency: _RustCurrency | None = None) -> str
>>> format_currency(1234567.89, USD) >>> format_currency(1234567.89, USD)
'$1,234,567.89' '$1,234,567.89'
""" """
if currency is None: effective: _RustCurrency = currency if currency is not None else INR
currency = INR return effective.format(amount)
return currency.format(amount)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -599,7 +598,7 @@ def _build_trades_df(
) )
if len(eb) == 0: if len(eb) == 0:
return pd.DataFrame( return pd.DataFrame(
columns=[ columns=[ # type: ignore[arg-type]
"entry_bar", "entry_bar",
"exit_bar", "exit_bar",
"direction", "direction",
python/ferro_ta/analysis/portfolio.py
+1 -1
View File
@@ -90,7 +90,7 @@ def correlation_matrix(returns: Any) -> Any:
arr = returns.values.astype(np.float64, copy=False) arr = returns.values.astype(np.float64, copy=False)
arr = np.ascontiguousarray(arr) arr = np.ascontiguousarray(arr)
result = _rust_corr(arr) result = _rust_corr(arr)
return pd.DataFrame(result, index=cols, columns=cols) return pd.DataFrame(result, index=cols, columns=cols) # type: ignore[arg-type]
except ImportError: except ImportError:
pass pass
arr = np.ascontiguousarray(returns, dtype=np.float64) arr = np.ascontiguousarray(returns, dtype=np.float64)