mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-11-07 18:01:10 +00:00
Fix local variable is assigned to but never used
This commit is contained in:
2
.github/workflows/test.yml
vendored
2
.github/workflows/test.yml
vendored
@@ -24,7 +24,7 @@ jobs:
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- run: bandit -r . || true
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- run: black --check .
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- run: codespell --ignore-words-list="mape" --quiet-level=2 --skip=".git" # --skip=""
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- run: flake8 . --count --ignore=E203,E302,F401,F841,W503 --max-line-length=140 --show-source --statistics
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- run: flake8 . --count --ignore=E203,E302,F401,W503 --max-line-length=140 --show-source --statistics
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- run: mypy --ignore-missing-imports . || true
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- run: shopt -s globstar && pyupgrade --py36-plus **/*.py || true
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- run: safety check
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@@ -163,10 +163,10 @@ def inference(l_args, s_ticker):
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if df_tweets["sentiment_estimation"].values[-1] > 0:
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n_pos = df_tweets[df_tweets["prob_sen"] > 0]["prob_sen"].sum()
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# pylint: disable=unused-variable
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n_pct = round(100 * n_pos / df_tweets["probability"].sum())
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n_pct = round(100 * n_pos / df_tweets["probability"].sum()) # noqa: F841
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else:
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n_neg = abs(df_tweets[df_tweets["prob_sen"] < 0]["prob_sen"].sum())
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n_pct = round(100 * n_neg / df_tweets["probability"].sum())
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n_pct = round(100 * n_neg / df_tweets["probability"].sum()) # noqa: F841
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# Parse tweets
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dt_from = dateutil.parser.parse(df_tweets["created_at"].values[-1])
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@@ -215,7 +215,7 @@ def vwap(l_args, s_ticker, s_interval, df_stock):
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plt.ylabel("Share Price ($)")
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plt.legend([s_ticker, "VWAP"])
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx()
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["6. volume"].values,
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@@ -248,7 +248,8 @@ def vwap(l_args, s_ticker, s_interval, df_stock):
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plt.xlabel("Time")
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plt.ylabel("Share Price ($)")
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plt.legend([s_ticker, "VWAP"])
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axVolume = axPrice.twinx()
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["5. volume"].values,
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@@ -79,7 +79,7 @@ def ad(l_args, s_ticker, s_interval, df_stock):
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plt.minorticks_on()
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plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx()
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["6. volume"].values,
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@@ -128,7 +128,8 @@ def ad(l_args, s_ticker, s_interval, df_stock):
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plt.grid(b=True, which="major", color="#666666", linestyle="-")
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plt.minorticks_on()
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plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
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axVolume = axPrice.twinx()
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["5. volume"].values,
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@@ -203,7 +204,7 @@ def obv(l_args, s_ticker, s_interval, df_stock):
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plt.minorticks_on()
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plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx()
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["6. volume"].values,
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@@ -237,7 +238,8 @@ def obv(l_args, s_ticker, s_interval, df_stock):
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plt.grid(b=True, which="major", color="#666666", linestyle="-")
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plt.minorticks_on()
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plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
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axVolume = axPrice.twinx()
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# pylint: disable=unused-variable
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axVolume = axPrice.twinx() # noqa: F841
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plt.bar(
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df_stock.index,
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df_stock["5. volume"].values,
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