fix: Get pro-rata depr amount based on correct days
This commit is contained in:
@@ -437,6 +437,7 @@ class Asset(AccountsController):
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depreciation_amount,
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from_date,
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date_of_disposal,
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original_schedule_date=schedule_date,
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)
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if depreciation_amount > 0:
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@@ -1118,14 +1119,20 @@ class Asset(AccountsController):
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return flt((100 * (1 - depreciation_rate)), float_precision)
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def get_pro_rata_amt(
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self, row, depreciation_amount, from_date, to_date, has_wdv_or_dd_non_yearly_pro_rata=False
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self,
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row,
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depreciation_amount,
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from_date,
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to_date,
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has_wdv_or_dd_non_yearly_pro_rata=False,
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original_schedule_date=None,
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):
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days = date_diff(to_date, from_date)
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months = month_diff(to_date, from_date)
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if has_wdv_or_dd_non_yearly_pro_rata:
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total_days = get_total_days(to_date, 12)
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total_days = get_total_days(original_schedule_date or to_date, 12)
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else:
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total_days = get_total_days(to_date, row.frequency_of_depreciation)
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total_days = get_total_days(original_schedule_date or to_date, row.frequency_of_depreciation)
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return (depreciation_amount * flt(days)) / flt(total_days), days, months
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@@ -1445,32 +1452,35 @@ def get_straight_line_or_manual_depr_amount(
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# if the Depreciation Schedule is being modified after Asset Value Adjustment due to decrease in asset value
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elif asset.flags.decrease_in_asset_value_due_to_value_adjustment:
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if row.daily_prorata_based:
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daily_depr_amount = (
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flt(row.value_after_depreciation) - flt(row.expected_value_after_useful_life)
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) / date_diff(
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get_last_day(
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add_months(
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row.depreciation_start_date,
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flt(row.total_number_of_depreciations - asset.number_of_depreciations_booked - 1)
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* row.frequency_of_depreciation,
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)
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),
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add_days(
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amount = flt(row.value_after_depreciation) - flt(row.expected_value_after_useful_life)
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total_days = (
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date_diff(
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get_last_day(
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add_months(
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row.depreciation_start_date,
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flt(
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row.total_number_of_depreciations
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- asset.number_of_depreciations_booked
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- number_of_pending_depreciations
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- 1
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)
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flt(row.total_number_of_depreciations - asset.number_of_depreciations_booked - 1)
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* row.frequency_of_depreciation,
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)
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),
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1,
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),
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add_days(
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get_last_day(
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add_months(
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row.depreciation_start_date,
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flt(
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row.total_number_of_depreciations
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- asset.number_of_depreciations_booked
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- number_of_pending_depreciations
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- 1
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)
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* row.frequency_of_depreciation,
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)
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),
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1,
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),
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)
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+ 1
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)
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daily_depr_amount = amount / total_days
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to_date = get_last_day(
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add_months(row.depreciation_start_date, schedule_idx * row.frequency_of_depreciation)
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@@ -1490,22 +1500,28 @@ def get_straight_line_or_manual_depr_amount(
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# if the Depreciation Schedule is being prepared for the first time
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else:
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if row.daily_prorata_based:
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daily_depr_amount = (
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amount = (
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flt(asset.gross_purchase_amount)
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- flt(asset.opening_accumulated_depreciation)
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- flt(row.expected_value_after_useful_life)
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) / date_diff(
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get_last_day(
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add_months(
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row.depreciation_start_date,
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flt(row.total_number_of_depreciations - asset.number_of_depreciations_booked - 1)
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* row.frequency_of_depreciation,
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)
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),
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add_days(
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get_last_day(add_months(row.depreciation_start_date, -1 * row.frequency_of_depreciation)), 1
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),
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)
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total_days = (
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date_diff(
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get_last_day(
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add_months(
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row.depreciation_start_date,
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flt(row.total_number_of_depreciations - asset.number_of_depreciations_booked - 1)
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* row.frequency_of_depreciation,
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)
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),
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add_days(
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get_last_day(add_months(row.depreciation_start_date, -1 * row.frequency_of_depreciation)), 1
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),
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)
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+ 1
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)
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daily_depr_amount = amount / total_days
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to_date = get_last_day(
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add_months(row.depreciation_start_date, schedule_idx * row.frequency_of_depreciation)
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@@ -219,7 +219,11 @@ class TestAsset(AssetSetup):
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asset.precision("gross_purchase_amount"),
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)
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pro_rata_amount, _, _ = asset.get_pro_rata_amt(
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asset.finance_books[0], 9000, get_last_day(add_months(purchase_date, 1)), date
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asset.finance_books[0],
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9000,
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get_last_day(add_months(purchase_date, 1)),
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date,
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original_schedule_date=get_last_day(nowdate()),
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)
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pro_rata_amount = flt(pro_rata_amount, asset.precision("gross_purchase_amount"))
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self.assertEquals(
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@@ -287,7 +291,11 @@ class TestAsset(AssetSetup):
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self.assertEqual(frappe.db.get_value("Asset", asset.name, "status"), "Sold")
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pro_rata_amount, _, _ = asset.get_pro_rata_amt(
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asset.finance_books[0], 9000, get_last_day(add_months(purchase_date, 1)), date
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asset.finance_books[0],
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9000,
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get_last_day(add_months(purchase_date, 1)),
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date,
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original_schedule_date=get_last_day(nowdate()),
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)
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pro_rata_amount = flt(pro_rata_amount, asset.precision("gross_purchase_amount"))
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@@ -349,7 +357,7 @@ class TestAsset(AssetSetup):
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self.assertEqual(frappe.db.get_value("Asset", asset.name, "status"), "Sold")
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expected_values = [["2023-03-31", 12000, 36000], ["2023-05-23", 1742.47, 37742.47]]
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expected_values = [["2023-03-31", 12000, 36000], ["2023-05-23", 1737.7, 37737.7]]
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for i, schedule in enumerate(asset.schedules):
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self.assertEqual(getdate(expected_values[i][0]), schedule.schedule_date)
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@@ -360,7 +368,7 @@ class TestAsset(AssetSetup):
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expected_gle = (
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(
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"_Test Accumulated Depreciations - _TC",
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37742.47,
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37737.7,
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0.0,
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),
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(
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@@ -371,7 +379,7 @@ class TestAsset(AssetSetup):
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(
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"_Test Gain/Loss on Asset Disposal - _TC",
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0.0,
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17742.47,
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17737.7,
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),
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("Debtors - _TC", 40000.0, 0.0),
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)
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@@ -691,18 +699,18 @@ class TestDepreciationMethods(AssetSetup):
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)
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expected_schedules = [
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["2023-01-31", 1021.98, 1021.98],
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["2023-02-28", 923.08, 1945.06],
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["2023-03-31", 1021.98, 2967.04],
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["2023-04-30", 989.01, 3956.05],
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["2023-05-31", 1021.98, 4978.03],
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["2023-06-30", 989.01, 5967.04],
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["2023-07-31", 1021.98, 6989.02],
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["2023-08-31", 1021.98, 8011.0],
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["2023-09-30", 989.01, 9000.01],
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["2023-10-31", 1021.98, 10021.99],
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["2023-11-30", 989.01, 11011.0],
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["2023-12-31", 989.0, 12000.0],
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["2023-01-31", 1019.18, 1019.18],
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["2023-02-28", 920.55, 1939.73],
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["2023-03-31", 1019.18, 2958.91],
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["2023-04-30", 986.3, 3945.21],
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["2023-05-31", 1019.18, 4964.39],
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["2023-06-30", 986.3, 5950.69],
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["2023-07-31", 1019.18, 6969.87],
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["2023-08-31", 1019.18, 7989.05],
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["2023-09-30", 986.3, 8975.35],
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["2023-10-31", 1019.18, 9994.53],
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["2023-11-30", 986.3, 10980.83],
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["2023-12-31", 1019.17, 12000.0],
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]
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schedules = [
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