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https://github.com/Sei-Lisa/LSL-PyOptimizer
synced 2025-07-21 12:09:33 -07:00
Strings representing denormals no longer give 0 when cast to float
This annoyance and discrepancy with LSO was finally fixed by Linden Lab. The change has prompted some modifications to the test suite to accommodate for the new results. A further improvement has been to make these tests more friendly to be run in SL, making it easier to verify the results. Fixes #17. Reported by SaladDais@users.noreply.github.com - thanks!
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Sei Lisa
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7c630f4ce4
commit
281ff4d96a
8 changed files with 65 additions and 41 deletions
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@ -500,16 +500,25 @@ def InternalTypecast(val, out, InList, f32):
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return 0.0
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if match.group(1):
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ret = float.fromhex(match.group(0))
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elif match.group(2):
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# (float)"-nan" produces NaN instead of Indet, even though
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# (vector)"<-nan,0,0>" produces <Indet, 0., 0.>. Go figure.
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ret = NaN
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# The following is no longer true as of Server 2022-05-05.571557;
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# exact date of change is unknown.
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# (float)"-nan" returns -nan now.
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#elif match.group(2):
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# # (float)"-nan" produces NaN instead of Indet, even though
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# # (vector)"<-nan,0,0>" produces <Indet, 0., 0.>. Go figure.
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# ret = NaN
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else:
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ret = float(match.group(0))
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if not lslcommon.LSO and abs(ret) < 1.1754943157898259e-38:
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# Mono doesn't return denormals when using (float)"val"
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# (but it returns them when using (vector)"<val,...>")
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ret = 0.0
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# The following is no longer true as of Server 2022-05-05.571557;
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# exact date of change is unknown.
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# Thanks to SaladDais@users.noreply.github.com for noticing.
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# Note that if the code needs to be resurrected, the sign needs
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# to be verified for the case (float)"-0.0"; we can no longer
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# check how it worked before.
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#if not lslcommon.LSO and abs(ret) < 1.1754943157898259e-38:
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# # Mono doesn't return denormals when using (float)"val"
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# # (but it returns them when using (vector)"<val,...>")
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# ret = 0.0
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return F32(ret, f32)
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if out == int:
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match = int_re.search(val)
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@ -27,13 +27,12 @@
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, (float)"-3.14e+0a"
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, (float)"--3.14e+0a"
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, (float)"0x3.14p+0a"
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, (float)"1.1754944e-38"
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, (float)"1.1754943e-38"
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, (float)"1.1754942e-38"
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, (float)"1.1754943157898258346e-38"
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, (float)"1.17549431578982583459e-38"
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// Known Mismatch:
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//, (float)"1.175494315789825834599e-38" // should give 0 but it fails
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, (float)"1.1754944e-38"*85070591730234615865843651857942052864.*16777216.
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, (float)"1.1754943e-38"*85070591730234615865843651857942052864.*16777216.
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, (float)"1.1754942e-38"*85070591730234615865843651857942052864.*16777216.
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, (float)"1.1754943157898258346e-38"*85070591730234615865843651857942052864.*16777216.
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, (float)"1.17549431578982583459e-38"*85070591730234615865843651857942052864.*16777216.
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, (float)"1.175494315789825834599e-38"*85070591730234615865843651857942052864.*16777216.
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, (vector)"<5.31,7.13,0x9.99"
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, (vector)"<5.31, 7.13, 0x9.99>"
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, (vector)"<5.31 , 7.13 , 0x9.99>"
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@ -125,13 +124,14 @@
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, (string)(1e39*0)
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, llList2CSV([1e0,1e1,1e2,1e3,1e4,1e5,1e6,1e7,1e8,1e9,1e10,1e11,1e12,1e13,1e14,
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1e15,1e16,1e17,1e18,1e19,1e20,1e21,1e22,1e23,1e24,1e25,1e26,1e27,
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1e28,1e29,1e30,1e31,1e32,1e33,1e34,1e35,1e36,1e37,1e38])
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1e28,1e29,1e30,1e31,1e32,1e33,1e34])
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, llList2CSV([1e35,1e36,1e37,1e38])
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, llList2CSV((list)<(float)"NaN", 1e40*0, 1e40, -1e40>)
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, llList2CSV((list)"str")
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, (string)[1,3.14,(key)"blah",<1.,0.,0.,0.>]
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, llSin(-2147483648)
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, llSin(2147483647)
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, llSin(2147483647.0)
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, llSin(-2147483648)*128
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, llSin(2147483647)*128
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, llSin(2147483647.0)*128
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, 2147483647 * 1.0 * 2
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, 3 * 1.0 / 2
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, 3 / 2
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@ -27,11 +27,12 @@
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, -3.14
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, 0.
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, 3.078125
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, 1.1754943e-38
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, 0.
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, 0.
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, 1.1754943e-38
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, 0.
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, 16777216.
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, 16777216.
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, 16777214.
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, 16777216.
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, 16777216.
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, 16777216.
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, <5.31, 7.13, 9.597656>
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, <5.31, 7.13, 9.597656>
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, <0., 0., 0.>
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@ -121,13 +122,14 @@
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, "Infinity"
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, "-Infinity"
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, "NaN"
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, "1.000000, 10.000000, 100.000000, 1000.000000, 10000.000000, 100000.000000, 1000000.000000, 10000000.000000, 100000000.000000, 1000000000.000000, 10000000000.000000, 99999997952.000000, 999999995904.000000, 9999999827968.000000, 100000000376832.000000, 999999986991104.000000, 10000000272564224.000000, 99999998430674944.000000, 999999984306749440.000000, 9999999980506447872.000000, 100000002004087734272.000000, 1000000020040877342720.000000, 9999999778196308361216.000000, 99999997781963083612160.000000, 1000000013848427855085568.000000, 9999999562023526247432192.000000, 100000002537764290115403776.000000, 999999988484154753734934528.000000, 9999999442119689768320106496.000000, 100000001504746621987668885504.000000, 1000000015047466219876688855040.000000, 9999999848243207295109594873856.000000, 100000003318135351409612647563264.000000, 999999994495727286427992885035008.000000, 9999999790214767953607394487959552.000000, 100000004091847875962975319375216640.000000, 999999961690316245365415600208216064.000000, 9999999933815812510711506376257961984.000000, 99999996802856924650656260769173209088.000000"
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, "1.000000, 10.000000, 100.000000, 1000.000000, 10000.000000, 100000.000000, 1000000.000000, 10000000.000000, 100000000.000000, 1000000000.000000, 10000000000.000000, 99999997952.000000, 999999995904.000000, 9999999827968.000000, 100000000376832.000000, 999999986991104.000000, 10000000272564224.000000, 99999998430674944.000000, 999999984306749440.000000, 9999999980506447872.000000, 100000002004087734272.000000, 1000000020040877342720.000000, 9999999778196308361216.000000, 99999997781963083612160.000000, 1000000013848427855085568.000000, 9999999562023526247432192.000000, 100000002537764290115403776.000000, 999999988484154753734934528.000000, 9999999442119689768320106496.000000, 100000001504746621987668885504.000000, 1000000015047466219876688855040.000000, 9999999848243207295109594873856.000000, 100000003318135351409612647563264.000000, 999999994495727286427992885035008.000000, 9999999790214767953607394487959552.000000"
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, "100000004091847875962975319375216640.000000, 999999961690316245365415600208216064.000000, 9999999933815812510711506376257961984.000000, 99999996802856924650656260769173209088.000000"
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, "<nan, -nan, inf, -inf>"
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, "str"
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, "13.140000blah<1.000000, 0.000000, 0.000000, 0.000000>"
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, 0.9713102
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, -0.9713102
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, -0.9713102
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, 124.327705
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, -124.327705
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, -124.327705
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, 4294967296.
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, 1.5
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, 1
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12
unit_tests/expr.suite/issue-17.lsl
Normal file
12
unit_tests/expr.suite/issue-17.lsl
Normal file
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@ -0,0 +1,12 @@
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// Test cases based on bug report by SaladDais@users.noreply.github.com;
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// see https://github.com/Sei-Lisa/LSL-PyOptimizer/issues/17
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// The first two cases are a change of behaviour in Mono, which used to return
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// zero when a string that represented a denormal was converted to float (LSO
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// did not have this problem).
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// The last two cases are a screwup on the author's side.
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[ (string)((float)"-0.0")
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, (string)(1.4e-45 == (float)"1.4e-45")
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, (string)0.00000000000001
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, (string)-0.00000000000001
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]
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1
unit_tests/expr.suite/issue-17.out
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1
unit_tests/expr.suite/issue-17.out
Normal file
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@ -0,0 +1 @@
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["-0.000000", "1", "0.000000", "0.000000"]
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@ -30,10 +30,10 @@
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, (vector)"<nan(1),nan,nano>"
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, (string)<0,0,0>
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, (string)[<0,0,0>]
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, (list)<(float)"nan", 2, 3>
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, (list)[<(float)"nan", 2, 3>]
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, (float)"1e-38"
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, (vector)"<1e-38,0,0>"
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, llList2Vector((list)<(float)"nan", 2, 3>, 0)
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, llList2Vector((list)[<(float)"nan", 2, 3>], 0)
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, (float)"1e-38"*85070591730234615865843651857942052864.*16777216.
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, (vector)"<1e-38,0,0>"*85070591730234615865843651857942052864.*16777216.
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, 1e40/1
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, 1e40-1e40
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, (1e40*0)*(1e40*0)
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@ -11,8 +11,8 @@
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, 1e20
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, "nan"
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, "-nan"
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, "nan"
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, "nan"
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, "-nan"
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, "-nan"
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, "0.000000"
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, -0.
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, 0.
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@ -30,10 +30,10 @@
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, <0., 0., 0.>
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, "<0.00000, 0.00000, 0.00000>"
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, "<0.000000, 0.000000, 0.000000>"
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, [<(-1e40*0), 2., 3.>]
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, [<(-1e40*0), 2., 3.>]
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, 0.
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, <1e-38, 0., 0.>
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, <(-1e40*0), 2., 3.>
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, <(-1e40*0), 2., 3.>
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, 14272476.
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, <14272476., 0., 0.>
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, 1e40
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, (1e40*0)
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, (1e40*0)
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@ -15,8 +15,8 @@ default
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, (1e40*0)
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, "nan"
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, "-nan"
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, "nan"
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, "nan"
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, "-nan"
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, "-nan"
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, "0.000000"
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, (-(float)0)
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, ((float)0)
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@ -32,7 +32,7 @@ default
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, <((float)0), ((float)0), ((float)0)>
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, <(-1e40*0), (-1e40*0), (-1e40*0)>
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, <((float)0), ((float)0), ((float)0)>
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, ((float)0)
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, 1e-38
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, <1e-38, ((float)0), ((float)0)>
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, 1e40
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, (1e40*0)
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