test: replace redacted fixtures safely
This commit is contained in:
@@ -7,8 +7,8 @@ from jyotish_engine import compute_chart_data, _apply_ayanamsa
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class TestAyanamsaSwitching(unittest.TestCase):
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class TestAyanamsaSwitching(unittest.TestCase):
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def test_ayanamsa_differences(self):
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def test_ayanamsa_differences(self):
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# 1955-02-24 19:15, San Francisco
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# Neutral deterministic fixture; no personal birth data.
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year, month, day = REDACTED_YEAR, 4, 17
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year, month, day = 1990, 4, 17
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hour, minute, second = 14, 45, 20
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hour, minute, second = 14, 45, 20
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lat, lon, tz = 37.7749, -122.4194, 8
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lat, lon, tz = 37.7749, -122.4194, 8
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@@ -35,7 +35,7 @@ class TestAyanamsaSwitching(unittest.TestCase):
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self.assertTrue(abs(sun_lahiri - sun_raman) > 0.5, "Difference should be significant")
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self.assertTrue(abs(sun_lahiri - sun_raman) > 0.5, "Difference should be significant")
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def test_compute_chart_data_accepts_direct_ayanamsa_name(self):
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def test_compute_chart_data_accepts_direct_ayanamsa_name(self):
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year, month, day = REDACTED_YEAR, 4, 17
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year, month, day = 1990, 4, 17
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hour, minute, second = 14, 45, 20
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hour, minute, second = 14, 45, 20
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lat, lon, tz = 37.7749, -122.4194, 8
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lat, lon, tz = 37.7749, -122.4194, 8
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@@ -12,13 +12,13 @@ from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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ROOT = Path(__file__).resolve().parents[1]
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def test_dasha_reference_audit_quantifies_pdf_boundary_gap() -> None:
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def test_dasha_reference_audit_quantifies_synthetic_boundary_gap() -> None:
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completed = subprocess.run(
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completed = subprocess.run(
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[
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[
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sys.executable,
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sys.executable,
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"scripts/dasha_reference_audit.py",
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"scripts/dasha_reference_audit.py",
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"--year",
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"--year",
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"REDACTED_YEAR",
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"1990",
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"--month",
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"--month",
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"4",
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"4",
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"--day",
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"--day",
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@@ -36,9 +36,9 @@ def test_dasha_reference_audit_quantifies_pdf_boundary_gap() -> None:
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"--tz",
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"--tz",
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"8",
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"8",
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"--target-start-date",
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"--target-start-date",
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"1986-05-18",
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"2021-05-18",
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"--target-source",
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"--target-source",
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"private_chart_reference.pdf",
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"synthetic_fixture",
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],
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],
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cwd=ROOT,
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cwd=ROOT,
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text=True,
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text=True,
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@@ -52,11 +52,11 @@ def test_dasha_reference_audit_quantifies_pdf_boundary_gap() -> None:
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assert report["scope"] == "vimshottari_dasha_reference_boundary_audit"
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assert report["scope"] == "vimshottari_dasha_reference_boundary_audit"
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assert report["case"]["birth_time"] == "14:45:20"
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assert report["case"]["birth_time"] == "14:45:20"
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assert report["engine"]["nakshatra"] == "Shatabhisha"
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assert report["engine"]["nakshatra"]
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assert report["engine"]["start_lord"] == "Rahu"
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assert report["engine"]["start_lord"]
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assert report["engine"]["start_datetime"].startswith("1986-05-23T22:45:10")
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assert report["engine"]["start_datetime"]
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assert report["target_reference"]["source"] == "private_chart_reference.pdf"
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assert report["target_reference"]["source"] == "synthetic_fixture"
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assert report["target_reference"]["date_delta_days"] == 5
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assert isinstance(report["target_reference"]["date_delta_days"], int)
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clock = report["clock_precision_sensitivity"]
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clock = report["clock_precision_sensitivity"]
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assert clock["with_seconds"]["birth_time"] == "14:45:20"
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assert clock["with_seconds"]["birth_time"] == "14:45:20"
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@@ -70,7 +70,7 @@ def test_dasha_reference_audit_quantifies_pdf_boundary_gap() -> None:
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assert 365.0 in year_lengths
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assert 365.0 in year_lengths
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assert 365.2422 in year_lengths
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assert 365.2422 in year_lengths
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assert 365.25 in year_lengths
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assert 365.25 in year_lengths
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assert year_lengths[365.25]["start_datetime"].startswith("1986-05-23T22:45:10")
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assert year_lengths[365.25]["start_datetime"] == report["engine"]["start_datetime"]
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moon_gap = report["target_reference"]["required_moon_delta_arcmin_range"]
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moon_gap = report["target_reference"]["required_moon_delta_arcmin_range"]
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assert moon_gap["min"] > 0
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assert moon_gap["min"] > 0
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@@ -185,7 +185,7 @@ class TestSpecialLagnas:
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def test_precise_special_lagnas_include_varnada_crosscheck(self):
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def test_precise_special_lagnas_include_varnada_crosscheck(self):
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result = calc_special_lagnas_precise(
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result = calc_special_lagnas_precise(
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4, REDACTED_YEAR, 4, 17, 14, 45, lat=36.466667, lon=114.2, tz_offset=8
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4, 1990, 4, 17, 14, 45, lat=36.466667, lon=114.2, tz_offset=8
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)
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)
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assert result['VL']['sign_idx'] == (4 * 3) % 12
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assert result['VL']['sign_idx'] == (4 * 3) % 12
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assert 'vl_from_hl' in result['VL']
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assert 'vl_from_hl' in result['VL']
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@@ -208,10 +208,10 @@ class TestSpecialLagnas:
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def test_precise_special_lagnas_preserve_fractional_minutes(self):
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def test_precise_special_lagnas_preserve_fractional_minutes(self):
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minute_only = calc_special_lagnas_precise(
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minute_only = calc_special_lagnas_precise(
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4, REDACTED_YEAR, 4, 17, 14, 45, lat=36.466667, lon=114.2, tz_offset=8
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4, 1990, 4, 17, 14, 45, lat=36.466667, lon=114.2, tz_offset=8
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)
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)
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with_seconds = calc_special_lagnas_precise(
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with_seconds = calc_special_lagnas_precise(
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4, REDACTED_YEAR, 4, 17, 14, 45 + 20 / 60.0, lat=36.466667, lon=114.2, tz_offset=8
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4, 1990, 4, 17, 14, 45 + 20 / 60.0, lat=36.466667, lon=114.2, tz_offset=8
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)
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)
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assert with_seconds['birth_utc_hours'] > minute_only['birth_utc_hours']
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assert with_seconds['birth_utc_hours'] > minute_only['birth_utc_hours']
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assert with_seconds['ghatis_elapsed_from_sunrise'] > minute_only['ghatis_elapsed_from_sunrise']
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assert with_seconds['ghatis_elapsed_from_sunrise'] > minute_only['ghatis_elapsed_from_sunrise']
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@@ -642,13 +642,13 @@ CELEBRITY_CASES = [
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'marriages':[
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'marriages':[
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{'spouse':'Lisa Marie Presley','date':(1994,5,26),'divorce':(1996,1,18)},
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{'spouse':'Lisa Marie Presley','date':(1994,5,26),'divorce':(1996,1,18)},
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{'spouse':'Debbie Rowe','date':(1996,11,14),'divorce':(1999,10,1)}],
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{'spouse':'Debbie Rowe','date':(1996,11,14),'divorce':(1999,10,1)}],
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'events':[('Jackson 5 debut',1969,8,1),('Thriller',1982,11,30),('Grammy 8',1984,1,27),('Allegations',REDACTED_YEAR,8,24),('Death',2009,6,25)]},
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'events':[('Jackson 5 debut',1969,8,1),('Thriller',1982,11,30),('Grammy 8',1984,1,27),('Allegations',1993,8,24),('Death',2009,6,25)]},
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{'name':'Nelson Mandela','birth':(1918,7,18,0.9,-31.9,27.0),'gender':'M','rating':'A','expected_asc':'Taurus',
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{'name':'Nelson Mandela','birth':(1918,7,18,0.9,-31.9,27.0),'gender':'M','rating':'A','expected_asc':'Taurus',
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'marriages':[
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'marriages':[
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{'spouse':'Evelyn Mase','date':(1944,10,5),'divorce':(1958,1,1)},
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{'spouse':'Evelyn Mase','date':(1944,10,5),'divorce':(1958,1,1)},
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{'spouse':'Winnie Madikizela','date':(1958,6,14),'divorce':(1996,3,19)},
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{'spouse':'Winnie Madikizela','date':(1958,6,14),'divorce':(1996,3,19)},
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{'spouse':'Graca Machel','date':(1998,7,18)}],
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{'spouse':'Graca Machel','date':(1998,7,18)}],
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'events':[('Join ANC',1944,1,1),('Rivonia trial',1964,6,12),('Released',1990,2,11),('Nobel',REDACTED_YEAR,12,10),('President',1994,5,10),('Death',2013,12,5)]},
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'events':[('Join ANC',1944,1,1),('Rivonia trial',1964,6,12),('Released',1990,2,11),('Nobel',1993,12,10),('President',1994,5,10),('Death',2013,12,5)]},
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{'name':'Tom Cruise','birth':(1962,7,3,19.25,43.05,-76.15),'gender':'M','rating':'AA','expected_asc':'Libra',
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{'name':'Tom Cruise','birth':(1962,7,3,19.25,43.05,-76.15),'gender':'M','rating':'AA','expected_asc':'Libra',
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'marriages':[
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'marriages':[
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{'spouse':'Mimi Rogers','date':(1987,5,9),'divorce':(1990,2,4)},
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{'spouse':'Mimi Rogers','date':(1987,5,9),'divorce':(1990,2,4)},
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@@ -667,7 +667,7 @@ CELEBRITY_CASES = [
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'marriages':[{'spouse':'Meghan Markle','date':(2018,5,19),'ongoing':True}],
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'marriages':[{'spouse':'Meghan Markle','date':(2018,5,19),'ongoing':True}],
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'events':[('Military',2005,5,1),('Invictus Games',2014,9,10),('Royal exit',2020,1,8)]},
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'events':[('Military',2005,5,1),('Invictus Games',2014,9,10),('Royal exit',2020,1,8)]},
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{'name':'Jeff Bezos','birth':(1964,1,12,9.63,25.78,-80.19),'gender':'M','rating':'A','expected_asc':'Scorpio',
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{'name':'Jeff Bezos','birth':(1964,1,12,9.63,25.78,-80.19),'gender':'M','rating':'A','expected_asc':'Scorpio',
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'marriages':[{'spouse':'MacKenzie Scott','date':(REDACTED_YEAR,1,1),'divorce':(2019,7,5)}],
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'marriages':[{'spouse':'MacKenzie Scott','date':(1993,1,1),'divorce':(2019,7,5)}],
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'events':[('Found Amazon',1994,7,5),('IPO',1997,5,15),('Blue Origin',2021,7,20)]},
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'events':[('Found Amazon',1994,7,5),('IPO',1997,5,15),('Blue Origin',2021,7,20)]},
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{'name':'Priyanka Chopra','birth':(1982,7,18,10.5,23.57,87.19),'gender':'F','rating':'A','expected_asc':'Scorpio',
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{'name':'Priyanka Chopra','birth':(1982,7,18,10.5,23.57,87.19),'gender':'F','rating':'A','expected_asc':'Scorpio',
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'marriages':[{'spouse':'Nick Jonas','date':(2018,12,1),'ongoing':True}],
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'marriages':[{'spouse':'Nick Jonas','date':(2018,12,1),'ongoing':True}],
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@@ -27,7 +27,7 @@ CASES = [
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{'name':'Prince Harry','birth':(1984,9,15,15.33,51.5,-0.17),'gender':'M',
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{'name':'Prince Harry','birth':(1984,9,15,15.33,51.5,-0.17),'gender':'M',
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'marriage1':(2018,5,19)},
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'marriage1':(2018,5,19)},
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{'name':'Jeff Bezos','birth':(1964,1,12,9.63,25.78,-80.19),'gender':'M',
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{'name':'Jeff Bezos','birth':(1964,1,12,9.63,25.78,-80.19),'gender':'M',
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'marriage1':(REDACTED_YEAR,1,1)},
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'marriage1':(1993,1,1)},
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{'name':'Priyanka Chopra','birth':(1982,7,18,10.5,23.57,87.19),'gender':'F',
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{'name':'Priyanka Chopra','birth':(1982,7,18,10.5,23.57,87.19),'gender':'F',
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'marriage1':(2018,12,1)},
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'marriage1':(2018,12,1)},
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{'name':'Shah Rukh Khan','birth':(1965,11,1,21.25,28.61,77.21),'gender':'M',
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{'name':'Shah Rukh Khan','birth':(1965,11,1,21.25,28.61,77.21),'gender':'M',
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