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############################################################################################# # Calculating the Required Structural Thickness of Pipe Using Beam Stress Theory ############################################################################################# # Input parameters P = 850 # pressure Do = 4.5 # outside diameter S = 17900 # code allowable stress E = .85 # weld joint efficieny W = 1.0 Y = 0.4 tnom = .237 D = Do - (2*(tnom)) # inside diameter psteel = .284 # density of the steel = 0.284 lb/in3 tjacket = 0.016 # jacket thicknesses pjacket = 0.0975 # density of aluminum jacket ln/in3 tinsul = 3.0 # insulation thickness pinsul = 0.004919 # density of insulation - note set at calcium silicate lb/in3 pproduct = 0.0361108 # product density (Water) lb/in3 My = 0.1071 # Moment in the Y direction (up or down), in-lb L = 14 # span in feet l = L * 12 # span in inches y = Do / 2 # distance from the center axis to the outer stress element, (1/2 Diameter), in # Step 1 - Determine tpress , the thickness needed to contain the design pressure at the design temperature # Pressure design thickness t = (P * Do) / (2*((S * E * W) + (P * Y))) # Step 2 - Determine the weight of each component that contributes to the overall weight of the piping system. # This includes the weight of the pipe, the fluid inside, the insulation, and the weight of any external items. # Determine weight of pipe = determine the cross sectional area of the new pipe and multiply by the density of steel wpipe = (π* psteel * (Do^2 - D^2) / 4) # Determine weight of the insulation winusl = (π* pinsul *((Do+tinsul*2)^2 - Do^2) / 4) # wjacket = π* pjacket * (((Do+(tinsul*2))+(tjacket*2))^2 - (Do+tinsul*2)^2) / 4 # Determine weight of the fluid Ai = π* D^2 / 4 # area wprod = pproduct * Ai # lb/inches ##### # Consideration for the weight from other external influences should be considered and added. Items such as ice, snow, or even animals may be appropriate, # depending on location and conditions. If the additional weight is from a point load condition, refer to AISC Beam Deflection Table for the appropriate moment calculation. ###### wother = 0.0 # lb/inch wmax = (wpipe + wprod + winusl + wjacket + wother) # maximum weight lb/in W = wmax * l # total weight over the full span R = (wmax * l) / 2 # reactions, R each support (2x) # Step 3 - Determine the Moments that will be used to calculate the bending stress in the pipe. The Moments are loads created due to the weight of the overall piping system My = My * (wmax) * (L * 12)^2 # AISC equation #My =(wmax) * ((L * 12)^2) # AISC equation #My = wmax * (L*12)^2 / 24 # wL^2/8 # for simply supported beam with a uniformly distributed load - Max shear force at either end of the beam (supports) - maximum bending moment - middle of beam #My = wmax * (L*12)^2 / 12 #My = (R * (l/2)) - (wmax/2) # Determine structural wall thickness # Beam Flexural Stress Method # The required minimum structural thickness of the pipe is derived from the Moment of Inertia needed to limit the bending stress to the maximum allowable stress levels # Step 4 σmax = S # code allowable stress limit # If the effect of wind loading is ignored, then σy = σmax because forces are only acting in the downward direction, -Y. # σy = [ My * y ] / Ipipe Ipipe_solve = (My * y) / σmax # in4 - algebra to find Ipipe I = My/(S/y) # Step 5 - Moment of inertia # Ipipe = (π / 64) * (Do^4 - x^4) # use algebra to solve for x # find x # divide both sides by (π / 64) solve = Ipipe_solve / (π / 64) # (Do^4 - x^4) = (28.77 / (π / 64)) # subtract Do^4 from both sides solve = solve - Do^4 # -x^4 = solve - Do^4 solve = solve *-1 Di = (solve)^(1/4) Ipipe = (π / 64) * (Do^4 - Di^4) x = (((Ipipe_solve / (π / 64) - Do^4) * -1))^(1/4) # Stress in y (up and down position) σy = (My * y) / Ipipe # maximum deflection #δmax = 0.0065 * wmax * (L *12)^4 / (29000000 * Ipipe) # AISC equation # defelction = (5 * wmax * 288^4) / (384 * 29000000 * Ipipe) # Step 6 - Calcualte the minimum structural thickness tstruct = (Do - Di) / 2 ####################################### specific pipe case ############################################################################################# # Calculating the Required Structural Thickness of Pipe Using Beam Stress Theory ############################################################################################# # Input parameters P = 285 # pressure Do = 2.375 # outside diameter S = 20000 # code allowable stress E = 1 # weld joint efficieny W = 1.0 Y = 0.4 tnom = 0.218 D = Do - (2*(tnom)) # inside diameter psteel = .284 # density of the steel = 0.284 lb/in3 tinsul = 0.0 # insulation thickness pinsul = 0.0049 # density of insulation - note set at calcium silicate lb/in3 pproduct = 8.5 # product density (Water) lb/gal My = 0.1071 # AISC equation L = 24 # span in feet l = L * 12 # span in inches y = Do / 2 # distance from the center axis to the outer stress element, (1/2 Diameter), in # Step 1 - Determine tpress , the thickness needed to contain the design pressure at the design temperature # Pressure design thickness t = (P * Do) / (2*((S * E * W) + (P * Y))) # Step 2 - Determine the weight of each component that contributes to the overall weight of the piping system. # This includes the weight of the pipe, the fluid inside, the insulation, and the weight of any external items. # Determine weight of pipe = determine the cross sectional area of the new pipe and multiply by the density of steel wpipe = ((Do-(tnom / 2)) * π * tnom * psteel) # Determine weight of the insulation winsul = (Do + tinsul) * π * tinsul * pinsul # Determine weight of the fluid r = D/2 h = D # Calculate volme of the fluid (cubic gal) area = acos((r-h)/r) * r^2 - (r-h) * sqrt(2*r*h - h^2) volume_cubic_inch = area * 12 volume_cubic_gal = volume_cubic_inch / 231 wprod = (volume_cubic_gal * pproduct) / 12 # lb/inches ##### # Consideration for the weight from other external influences should be considered and added. Items such as ice, snow, or even animals may be appropriate, # depending on location and conditions. If the additional weight is from a point load condition, refer to AISC Beam Deflection Table for the appropriate moment calculation. ###### wother = 0.0 # lb/inch wmax = (wpipe + wprod + winsul + wother) # maximum weight lb/in # Step 3 - Determine the Moments that will be used to calculate the bending stress in the pipe. The Moments are loads created due to the weight of the overall piping system My = My * (wmax) * ((L * 12)^2) # AISC equation #My = wmax * (L*12)^2 / 8 # wL^2/8 # for simply supported beam with a uniformly distributed load - Max shear force at either end of the beam (supports) - maximum bending moment - middle of beam # Determine structural wall thickness # Beam Flexural Stress Method # The required minimum structural thickness of the pipe is derived from the Moment of Inertia needed to limit the bending stress to the maximum allowable stress levels # Step 4 σmax = S # code allowable stress limit # If the effect of wind loading is ignored, then σy = σmax because forces are only acting in the downward direction, -Y. # σy = [ My * y ] / Ipipe Ipipe_solve = (My * y) / σmax # in4 - algebra to find Ipipe # Step 5 - Moment of inertia # Ipipe = (π / 64) * (Do^4 - x^4) # use algebra to solve for x # find x # divide both sides by (π / 64) solve = Ipipe_solve / (π / 64) # (Do^4 - x^4) = (28.77 / (π / 64)) # subtract Do^4 from both sides solve = solve - Do^4 # -x^4 = solve - Do^4 solve = solve *-1 Di = (solve)^(1/4) Ipipe = (π / 64) * (Do^4 - Di^4) # Stress in y (up and down position) σy = (My * y) / Ipipe # maximum deflection at code allowable S δmax = 0.0065 * (wmax) * (L *12)^4 / (29000000 * Ipipe) # AISC equation # defelction = (5 * wmax * 288^4) / (384 * 29000000 * Ipipe) # Step 6 - Calcualte the minimum structural thickness tstruct = (Do - Di) / 2 print("Structural tmin - bend stress theory = ", tstruct) ########### #### iteration spans = collect(1:1:60) out = zeros(size(spans,1)) for i = 1:size(spans,1) # Input parameters P = 285 # pressure Do = 2.375 # outside diameter S = 20000 # code allowable stress E = 1 # weld joint efficieny W = 1.0 Y = 0.4 tnom = 0.218 D = Do - (2*(tnom)) # inside diameter psteel = .284 # density of the steel = 0.284 lb/in3 tinsul = 0.0 # insulation thickness pinsul = 0.0049 # density of insulation - note set at calcium silicate lb/in3 pproduct = 8.5 # product density (Water) lb/gal My = 0.1071 span = spans[i] # in feet y = Do / 2 # distance from the center axis to the outer stress element, (1/2 Diameter), in # Step 1 - Determine tpress , the thickness needed to contain the design pressure at the design temperature # Pressure design thickness t = (P * Do) / (2*((S * E * W) + (P * Y))) # Step 2 - Determine the weight of each component that contributes to the overall weight of the piping system. # This includes the weight of the pipe, the fluid inside, the insulation, and the weight of any external items. # Determine weight of pipe = determine the cross sectional area of the new pipe and multiply by the density of steel wpipe = ((Do - (tnom / 2)) * π * tnom * psteel) # Determine weight of the insulation winsul = (Do + tinsul) * π * tinsul * pinsul # Determine weight of the fluid r = D/2 h = D # Calculate volme of the fluid (cubic gal) area = acos((r-h)/r) * r^2 - (r-h) * sqrt(2*r*h - h^2) volume_cubic_inch = area * 12 volume_cubic_gal = volume_cubic_inch / 231 wprod = (volume_cubic_gal * pproduct) / 12 # lb/inches ##### # Consideration for the weight from other external influences should be considered and added. Items such as ice, snow, or even animals may be appropriate, # depending on location and conditions. If the additional weight is from a point load condition, refer to AISC Beam Deflection Table for the appropriate moment calculation. ###### wother = 0.0 # lb/inch # Step 3 - Determine the Moments that will be used to calculate the bending stress in the pipe. The Moments are loads created due to the weight of the overall piping system My = My * (wpipe + wprod + winsul + wother) * (span * 12)^2 # Determine structural wall thickness # Beam Flexural Stress Method # The required minimum structural thickness of the pipe is derived from the Moment of Inertia needed to limit the bending stress to the maximum allowable stress levels # Step 4 σmax = S # code allowable stress limit # If the effect of wind loading is ignored, then σy = σmax because forces are only acting in the downward direction, -Y. # σy = [ My * y ] / Ipipe Ipipe_solve = (My * y) / σmax # in4 - algebra to find Ipipe # Step 5 - Moment of inertia # Ipipe = (π / 64) * (Do^4 - x^4) # use algebra to solve for x # find x # divide both sides by (π / 64) solve = Ipipe_solve / (π / 64) # (Do^4 - x^4) = (28.77 / (π / 64)) # subtract Do^4 from both sides solve = solve - Do^4 # -x^4 = solve - Do^4 solve = solve *-1 Di = (solve)^(1/4) Ipipe = (π / 64) * (Do^4 - Di^4) # Step 6 - Calcualte the minimum structural thickness tstruct = (Do - Di) / 2 out[i] = tstruct end for i = 1:size(out,1) if out[i] == 0.0 out[i] = NaN end end using DataFrames using CSV using Gadfly df = DataFrame(hcat(spans,out)) CSV.write("C:/Users/Andrew.Bannerman/Desktop/MARS/struct_out2.csv", df;delim=',') plot(x=df.x1,y=df.x2, Geom.line,Theme(default_color=colorant"blue"), Theme(background_color="white"), Guide.title("Structural Required Thickness for Varying pipe spans - 2 inch sch 80"), Guide.xlabel("Span"), Guide.ylabel("tstructural"), Guide.yticks(ticks = collect(0:.05:.75)), Guide.xticks(ticks = collect(0:5:60)))
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############################################################################### # # fmpq_rel_series.jl : Power series over flint fmpq rationals # ############################################################################### export fmpq_rel_series, FmpqRelSeriesRing ############################################################################### # # Data type and parent object methods # ############################################################################### function O(a::fmpq_rel_series) val = pol_length(a) + valuation(a) - 1 val < 0 && throw(DomainError()) z = fmpq_rel_series(Array{fmpq}(0), 0, val, val) z.parent = parent(a) return z end elem_type(::Type{FmpqRelSeriesRing}) = fmpq_rel_series parent_type(::Type{fmpq_rel_series}) = FmpqRelSeriesRing base_ring(R::FmpqRelSeriesRing) = R.base_ring var(a::FmpqRelSeriesRing) = a.S ############################################################################### # # Basic manipulation # ############################################################################### max_precision(R::FmpqRelSeriesRing) = R.prec_max function normalise(a::fmpq_rel_series, len::Int) if len > 0 c = fmpq() ccall((:fmpq_poly_get_coeff_fmpq, :libflint), Void, (Ref{fmpq}, Ref{fmpq_rel_series}, Int), c, a, len - 1) end while len > 0 && iszero(c) len -= 1 if len > 0 ccall((:fmpq_poly_get_coeff_fmpq, :libflint), Void, (Ref{fmpq}, Ref{fmpq_rel_series}, Int), c, a, len - 1) end end return len end function pol_length(x::fmpq_rel_series) return ccall((:fmpq_poly_length, :libflint), Int, (Ref{fmpq_rel_series},), x) end precision(x::fmpq_rel_series) = x.prec function polcoeff(x::fmpq_rel_series, n::Int) if n < 0 return fmpq(0) end z = fmpq() ccall((:fmpq_poly_get_coeff_fmpq, :libflint), Void, (Ref{fmpq}, Ref{fmpq_rel_series}, Int), z, x, n) return z end zero(R::FmpqRelSeriesRing) = R(0) one(R::FmpqRelSeriesRing) = R(1) function gen(R::FmpqRelSeriesRing) z = fmpq_rel_series([fmpq(1)], 1, max_precision(R) + 1, 1) z.parent = R return z end function deepcopy_internal(a::fmpq_rel_series, dict::ObjectIdDict) z = fmpq_rel_series(a) z.prec = a.prec z.val = a.val z.parent = parent(a) return z end function renormalize!(z::fmpq_rel_series) i = 0 zlen = pol_length(z) zval = valuation(z) zprec = precision(z) while i < zlen && iszero(polcoeff(z, i)) i += 1 end z.prec = zprec if i == zlen z.val = zprec else z.val = zval + i ccall((:fmpq_poly_shift_right, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, i) end return nothing end ############################################################################### # # String I/O # ############################################################################### function show(io::IO, a::FmpqRelSeriesRing) print(io, "Univariate power series ring in ", var(a), " over ") show(io, base_ring(a)) end show_minus_one(::Type{fmpq_rel_series}) = show_minus_one(fmpq) ############################################################################### # # Unary operators # ############################################################################### function -(x::fmpq_rel_series) z = parent(x)() ccall((:fmpq_poly_neg, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}), z, x) z.prec = x.prec z.val = x.val return z end ############################################################################### # # Binary operators # ############################################################################### function +(a::fmpq_rel_series, b::fmpq_rel_series) check_parent(a, b) lena = pol_length(a) lenb = pol_length(b) prec = min(a.prec, b.prec) val = min(a.val, b.val) lena = min(lena, prec - a.val) lenb = min(lenb, prec - b.val) z = parent(a)() if a.val < b.val lenz = max(lena, lenb + b.val - a.val) ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, b, max(0, lenz - b.val + a.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, b.val - a.val) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a, lenz) elseif b.val < a.val lenz = max(lena + a.val - b.val, lenb) ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, max(0, lenz - a.val + b.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.val - b.val) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, b, lenz) else lenz = max(lena, lenb) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, b, lenz) end z.prec = prec z.val = val renormalize!(z) return z end function -(a::fmpq_rel_series, b::fmpq_rel_series) check_parent(a, b) lena = pol_length(a) lenb = pol_length(b) prec = min(a.prec, b.prec) val = min(a.val, b.val) lena = min(lena, prec - a.val) lenb = min(lenb, prec - b.val) lenz = max(lena, lenb) z = parent(a)() if a.val < b.val lenz = max(lena, lenb + b.val - a.val) ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, b, max(0, lenz - b.val + a.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, b.val - a.val) ccall((:fmpq_poly_neg, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}), z, z) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a, lenz) elseif b.val < a.val lenz = max(lena + a.val - b.val, lenb) ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, max(0, lenz - a.val + b.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.val - b.val) ccall((:fmpq_poly_sub_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, b, lenz) else lenz = max(lena, lenb) ccall((:fmpq_poly_sub_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, b, lenz) end z.prec = prec z.val = val renormalize!(z) return z end function *(a::fmpq_rel_series, b::fmpq_rel_series) check_parent(a, b) lena = pol_length(a) lenb = pol_length(b) aval = valuation(a) bval = valuation(b) prec = min(a.prec - aval, b.prec - bval) lena = min(lena, prec) lenb = min(lenb, prec) z = parent(a)() z.val = a.val + b.val z.prec = prec + z.val if lena == 0 || lenb == 0 return z end lenz = min(lena + lenb - 1, prec) ccall((:fmpq_poly_mullow, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, b, lenz) return z end ############################################################################### # # Ad hoc binary operators # ############################################################################### function *(x::Int, y::fmpq_rel_series) z = parent(y)() z.prec = y.prec z.val = y.val ccall((:fmpq_poly_scalar_mul_si, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, y, x) return z end *(x::fmpq_rel_series, y::Int) = y * x function *(x::fmpz, y::fmpq_rel_series) z = parent(y)() z.prec = y.prec z.val = y.val ccall((:fmpq_poly_scalar_mul_fmpz, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpz}), z, y, x) return z end function *(x::fmpq, y::fmpq_rel_series) z = parent(y)() z.prec = y.prec z.val = y.val ccall((:fmpq_poly_scalar_mul_fmpq, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq}), z, y, x) return z end *(x::fmpq_rel_series, y::fmpz) = y * x *(x::fmpq_rel_series, y::fmpq) = y * x *(x::fmpq_rel_series, y::Integer) = x * fmpz(y) *(x::Integer, y::fmpq_rel_series) = fmpz(x) * y *(x::fmpq_rel_series, y::Rational) = x * fmpq(y) *(x::Rational, y::fmpq_rel_series) = fmpq(x) * y +(x::fmpq_rel_series, y::Integer) = x + fmpz(y) +(x::Integer, y::fmpq_rel_series) = fmpz(x) + y +(x::fmpq_rel_series, y::Rational) = x + fmpq(y) +(x::Rational, y::fmpq_rel_series) = fmpq(x) + y -(x::fmpq_rel_series, y::Integer) = x - fmpz(y) -(x::Integer, y::fmpq_rel_series) = fmpz(x) - y -(x::fmpq_rel_series, y::Rational) = x - fmpq(y) -(x::Rational, y::fmpq_rel_series) = fmpq(x) - y ############################################################################### # # Shifting # ############################################################################### function shift_left(x::fmpq_rel_series, len::Int) len < 0 && throw(DomainError()) xlen = pol_length(x) z = fmpq_rel_series(x) z.prec = x.prec + len z.val = x.val + len z.parent = parent(x) return z end function shift_right(x::fmpq_rel_series, len::Int) len < 0 && throw(DomainError()) xlen = pol_length(x) xval = valuation(x) z = parent(x)() if len >= xlen + xval z.prec = max(0, x.prec - len) z.val = max(0, x.prec - len) else z.prec = max(0, x.prec - len) z.val = max(0, xval - len) zlen = min(xlen + xval - len, xlen) ccall((:fmpq_poly_shift_right, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, x, xlen - zlen) renormalize!(z) end return z end ############################################################################### # # Truncation # ############################################################################### function truncate(x::fmpq_rel_series, prec::Int) prec < 0 && throw(DomainError()) xlen = pol_length(x) xprec = precision(x) xval = valuation(x) if xprec + xval <= prec return x end z = parent(x)() z.prec = prec if prec <= xval z = parent(x)() z.val = prec z.prec = prec else z.val = xval ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, x, min(prec - xval, xlen)) end return z end ############################################################################### # # Powering # ############################################################################### function ^(a::fmpq_rel_series, b::Int) b < 0 && throw(DomainError()) if isgen(a) z = parent(a)() z = setcoeff!(z, 0, fmpq(1)) z.prec = a.prec + b - 1 z.val = b elseif pol_length(a) == 0 z = parent(a)() z.prec = b*valuation(a) z.val = b*valuation(a) elseif pol_length(a) == 1 return parent(a)([polcoeff(a, 0)^b], 1, (b - 1)*valuation(a) + precision(a), b*valuation(a)) elseif b == 0 return one(parent(a)) else bit = ~((~UInt(0)) >> 1) while (UInt(bit) & b) == 0 bit >>= 1 end z = a bit >>= 1 while bit != 0 z = z*z if (UInt(bit) & b) != 0 z *= a end bit >>= 1 end end return z end ############################################################################### # # Comparison # ############################################################################### function ==(x::fmpq_rel_series, y::fmpq_rel_series) check_parent(x, y) prec = min(x.prec, y.prec) if prec <= x.val && prec <= y.val return true end if x.val != y.val return false end xlen = normalise(x, min(pol_length(x), prec - x.val)) ylen = normalise(y, min(pol_length(y), prec - y.val)) if xlen != ylen return false end return Bool(ccall((:fmpq_poly_equal_trunc, :libflint), Cint, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), x, y, xlen)) end function isequal(x::fmpq_rel_series, y::fmpq_rel_series) if parent(x) != parent(y) return false end if x.prec != y.prec || x.val != y.val || pol_length(x) != pol_length(y) return false end return Bool(ccall((:fmpq_poly_equal, :libflint), Cint, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), x, y, pol_length(x))) end ############################################################################### # # Ad hoc comparisons # ############################################################################### function ==(x::fmpq_rel_series, y::fmpq) if precision(x) == 0 return true elseif pol_length(x) > 1 return false elseif pol_length(x) == 1 if x.val == 0 z = fmpq() ccall((:fmpq_poly_get_coeff_fmpq, :libflint), Void, (Ref{fmpq}, Ref{fmpq_rel_series}, Int), z, x, 0) return ccall((:fmpq_equal, :libflint), Bool, (Ref{fmpq}, Ref{fmpq}, Int), z, y, 0) else return false end else return iszero(y) end end function ==(x::fmpq_rel_series, y::fmpz) if precision(x) == 0 return true elseif pol_length(x) > 1 return false elseif pol_length(x) == 1 if x.val == 0 z = fmpq() ccall((:fmpq_poly_get_coeff_fmpq, :libflint), Void, (Ref{fmpq}, Ref{fmpq_rel_series}, Int), z, x, 0) return isone(denominator(z)) && ccall((:fmpz_equal, :libflint), Bool, (Ref{fmpz}, Ref{fmpz}, Int), numerator(z), y, 0) else return false end else return iszero(y) end end ==(x::fmpz, y::fmpq_rel_series) = y == x ==(x::fmpq, y::fmpq_rel_series) = y == x ==(x::fmpq_rel_series, y::Integer) = x == fmpz(y) ==(x::Integer, y::fmpq_rel_series) = y == x ==(x::fmpq_rel_series, y::Rational{T}) where T <: Union{Int, BigInt} = x == fmpq(y) ==(x::Rational{T}, y::fmpq_rel_series) where T <: Union{Int, BigInt} = y == x ############################################################################### # # Exact division # ############################################################################### function divexact(x::fmpq_rel_series, y::fmpq_rel_series) check_parent(x, y) iszero(y) && throw(DivideError()) yval = valuation(y) xval = valuation(x) if yval != 0 if xval >= yval x = shift_right(x, yval) y = shift_right(y, yval) end end !isunit(y) && error("Unable to invert power series") prec = min(x.prec - x.val, y.prec - y.val) z = parent(x)() z.val = xval - yval z.prec = prec + z.val if prec != 0 ccall((:fmpq_poly_div_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, x, y, prec) end return z end ############################################################################### # # Ad hoc exact division # ############################################################################### function divexact(x::fmpq_rel_series, y::Int) y == 0 && throw(DivideError()) z = parent(x)() z.prec = x.prec z.val = x.val ccall((:fmpq_poly_scalar_divexact_si, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, x, y) return z end function divexact(x::fmpq_rel_series, y::fmpz) iszero(y) && throw(DivideError()) z = parent(x)() z.prec = x.prec z.prec = x.prec z.val = x.val ccall((:fmpq_poly_scalar_divexact_fmpz, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpz}), z, x, y) return z end function divexact(x::fmpq_rel_series, y::fmpq) iszero(y) && throw(DivideError()) z = parent(x)() z.prec = x.prec z.prec = x.prec z.val = x.val ccall((:fmpq_poly_scalar_div_fmpq, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq}), z, x, y) return z end divexact(x::fmpq_rel_series, y::Integer) = divexact(x, fmpz(y)) divexact(x::fmpq_rel_series, y::Rational{T}) where T <: Union{Int, BigInt} = divexact(x, fmpq(y)) ############################################################################### # # Inversion # ############################################################################### function inv(a::fmpq_rel_series) iszero(a) && throw(DivideError()) !isunit(a) && error("Unable to invert power series") ainv = parent(a)() ainv.prec = a.prec ainv.val = 0 ccall((:fmpq_poly_inv_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), ainv, a, a.prec) return ainv end ############################################################################### # # Special functions # ############################################################################### function Base.exp(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in exp") if pol_length(a) + valuation(a) == 0 || a.prec == 1 return parent(a)([fmpq(1)], 1, a.prec, 0) end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_exp_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" log(a::fmpq_rel_series) > Return log$(a)$. Requires the constant term to be one. """ function log(a::fmpq_rel_series) (a.val != 0 || coeff(a, 0) != 1) && error("Constant term not one in log") if pol_length(a) + valuation(a) == 1 || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_log_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.prec) renormalize!(z) return z end doc""" tan(a::fmpq_rel_series) > Return tan$(a)$. Requires a zero constant term. """ function tan(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in tan") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_tan_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" tanh(a::fmpq_rel_series) > Return tanh$(a)$. Requires a zero constant term. """ function tanh(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in tanh") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_tanh_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" sin(a::fmpq_rel_series) > Return sin$(a)$. Requires a zero constant term. """ function sin(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in sin") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_truncate, :libflint), Void, (Ref{fmpq_rel_series}, Int), z, a.prec) ccall((:fmpq_poly_sin_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" sinh(a::fmpq_rel_series) > Return sinh$(a)$. Requires a zero constant term. """ function sinh(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in sinh") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_sinh_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" cos(a::fmpq_rel_series) > Return cos$(a)$. Requires a zero constant term. """ function cos(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in cos") if pol_length(a) + valuation(a) == 0 || a.prec == 1 return one(parent(a)) end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_truncate, :libflint), Void, (Ref{fmpq_rel_series}, Int), z, a.prec) ccall((:fmpq_poly_cos_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" cosh(a::fmpq_rel_series) > Return cosh$(a)$. Requires a zero constant term. """ function cosh(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in cosh") if pol_length(a) + valuation(a) == 0 || a.prec == 1 return one(parent(a)) end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_cosh_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" asin(a::fmpq_rel_series) > Return asin$(a)$. Requires a zero constant term. """ function asin(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in asin") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_asin_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" asinh(a::fmpq_rel_series) > Return asinh$(a)$. Requires a zero constant term. """ function asinh(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in asinh") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_asinh_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" atan(a::fmpq_rel_series) > Return atan$(a)$. Requires a zero constant term. """ function atan(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in atan") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_atan_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" atanh(a::fmpq_rel_series) > Return atanh$(a)$. Requires a zero constant term. """ function atanh(a::fmpq_rel_series) (a.val == 0 && pol_length(a) != 0) && error("Constant term not zero in atanh") if iszero(a) || a.prec < 2 return parent(a)() end z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.val) ccall((:fmpq_poly_atanh_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, a.prec) renormalize!(z) return z end doc""" sqrt(a::fmpq_rel_series) > Return the power series square root of $a$. Requires a constant term equal to > one. """ function sqrt(a::fmpq_rel_series) (a.val != 0 || coeff(a, 0) != 1) && error("Constant term not one in sqrt") z = parent(a)() z.prec = a.prec z.val = 0 ccall((:fmpq_poly_sqrt_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, a.prec) return z end ############################################################################### # # Unsafe functions # ############################################################################### function zero!(z::fmpq_rel_series) ccall((:fmpq_poly_zero, :libflint), Void, (Ref{fmpq_rel_series},), z) z.prec = parent(z).prec_max return z end function setcoeff!(z::fmpq_rel_series, n::Int, x::fmpq) ccall((:fmpq_poly_set_coeff_fmpq, :libflint), Void, (Ref{fmpq_rel_series}, Int, Ref{fmpq}), z, n, x) return z end function mul!(z::fmpq_rel_series, a::fmpq_rel_series, b::fmpq_rel_series) lena = pol_length(a) lenb = pol_length(b) aval = valuation(a) bval = valuation(b) prec = min(a.prec - aval, b.prec - bval) lena = min(lena, prec) lenb = min(lenb, prec) z.val = a.val + b.val z.prec = prec + c.val lenz = min(lena + lenb - 1, prec) if lena <= 0 || lenb <= 0 lenz = 0 end ccall((:fmpq_poly_mullow, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, a, b, lenz) return z end function addeq!(a::fmpq_rel_series, b::fmpq_rel_series) lena = pol_length(a) lenb = pol_length(b) prec = min(a.prec, b.prec) val = min(a.val, b.val) lena = min(lena, prec - a.val) lenb = min(lenb, prec - b.val) if a.val < b.val z = fmpq_rel_series() lenz = max(lena, lenb + b.val - a.val) ccall((:fmpq_poly_set_trunc, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, b, max(0, lenz - b.val + a.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), z, z, b.val - a.val) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), a, a, z, lenz) elseif b.val < a.val lenz = max(lena + a.val - b.val, lenb) ccall((:fmpq_poly_truncate, :libflint), Void, (Ref{fmpq_rel_series}, Int), a, max(0, lenz - a.val + b.val)) ccall((:fmpq_poly_shift_left, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), a, a, a.val - b.val) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), a, a, b, lenz) else lenz = max(lena, lenb) ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), a, a, b, lenz) end a.prec = prec a.val = val renormalize!(a) return a end function add!(c::fmpq_rel_series, a::fmpq_rel_series, b::fmpq_rel_series) lena = length(a) lenb = length(b) prec = min(a.prec, b.prec) lena = min(lena, prec) lenb = min(lenb, prec) lenc = max(lena, lenb) c.prec = prec ccall((:fmpq_poly_add_series, :libflint), Void, (Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Ref{fmpq_rel_series}, Int), c, a, b, lenc) return c end ############################################################################### # # Promotion rules # ############################################################################### promote_rule(::Type{fmpq_rel_series}, ::Type{T}) where {T <: Integer} = fmpq_rel_series promote_rule(::Type{fmpq_rel_series}, ::Type{Rational{T}}) where T <: Union{Int, BigInt} = fmpq_rel_series promote_rule(::Type{fmpq_rel_series}, ::Type{fmpz}) = fmpq_rel_series promote_rule(::Type{fmpq_rel_series}, ::Type{fmpq}) = fmpq_rel_series ############################################################################### # # Parent object call overload # ############################################################################### function (a::FmpqRelSeriesRing)() z = fmpq_rel_series() z.prec = a.prec_max z.val = a.prec_max z.parent = a return z end function (a::FmpqRelSeriesRing)(b::Integer) if b == 0 z = fmpq_rel_series() z.prec = a.prec_max else z = fmpq_rel_series([fmpq(b)], 1, a.prec_max, 0) end z.parent = a return z end function (a::FmpqRelSeriesRing)(b::fmpz) if iszero(b) z = fmpq_rel_series() z.prec = a.prec_max else z = fmpq_rel_series([fmpq(b)], 1, a.prec_max, 0) end z.parent = a return z end function (a::FmpqRelSeriesRing)(b::fmpq) if iszero(b) z = fmpq_rel_series() z.prec = a.prec_max else z = fmpq_rel_series([b], 1, a.prec_max, 0) end z.parent = a return z end (a::FmpqRelSeriesRing)(b::Rational{T}) where T <: Union{Int, BigInt} = a(fmpq(b)) function (a::FmpqRelSeriesRing)(b::fmpq_rel_series) parent(b) != a && error("Unable to coerce power series") return b end function (a::FmpqRelSeriesRing)(b::Array{fmpq, 1}, len::Int, prec::Int, val::Int) z = fmpq_rel_series(b, len, prec, val) z.parent = a return z end (a::FmpqRelSeriesRing)(b::Array{fmpz, 1}, len::Int, prec::Int, val::Int) = a(map(fmpq, b), len, prec, val) (a::FmpqRelSeriesRing)(b::Array{T, 1}, len::Int, prec::Int, val::Int) where {T <: Integer} = a(map(fmpq, b), len, prec, val) (a::FmpqRelSeriesRing)(b::Array{Rational{T}, 1}, len::Int, prec::Int, val::Int) where {T <: Integer} = a(map(fmpq, b), len, prec, val)
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8818, 2429, 7, 49, 3712, 37, 3149, 80, 6892, 27996, 39687, 8, 198, 220, 220, 1976, 796, 277, 3149, 80, 62, 2411, 62, 25076, 26933, 69, 3149, 80, 7, 16, 8, 4357, 352, 11, 3509, 62, 3866, 16005, 7, 49, 8, 1343, 352, 11, 352, 8, 198, 220, 220, 1976, 13, 8000, 796, 371, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 2769, 30073, 62, 32538, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 8633, 3712, 10267, 7390, 35, 713, 8, 198, 220, 220, 1976, 796, 277, 3149, 80, 62, 2411, 62, 25076, 7, 64, 8, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 257, 13, 2100, 198, 220, 220, 1976, 13, 8000, 796, 2560, 7, 64, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 8851, 6636, 1096, 0, 7, 89, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 1312, 796, 657, 198, 220, 220, 1976, 11925, 796, 755, 62, 13664, 7, 89, 8, 198, 220, 220, 1976, 2100, 796, 29115, 7, 89, 8, 198, 220, 220, 1976, 3866, 66, 796, 15440, 7, 89, 8, 198, 220, 220, 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220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 8, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 2124, 13, 2100, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 45755, 12879, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 1343, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 2198, 62, 8000, 7, 64, 11, 275, 8, 198, 220, 220, 300, 8107, 796, 755, 62, 13664, 7, 64, 8, 198, 220, 220, 18896, 65, 796, 755, 62, 13664, 7, 65, 8, 198, 220, 220, 3718, 796, 949, 7, 64, 13, 3866, 66, 11, 275, 13, 3866, 66, 8, 198, 220, 220, 1188, 796, 949, 7, 64, 13, 2100, 11, 275, 13, 2100, 8, 198, 220, 220, 300, 8107, 796, 949, 7, 75, 8107, 11, 3718, 532, 257, 13, 2100, 8, 198, 220, 220, 18896, 65, 796, 949, 7, 11925, 65, 11, 3718, 532, 275, 13, 2100, 8, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 611, 257, 13, 2100, 1279, 275, 13, 2100, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 1343, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 275, 11, 3509, 7, 15, 11, 18896, 89, 532, 275, 13, 2100, 1343, 257, 13, 2100, 4008, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2860, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 11, 18896, 89, 8, 198, 220, 220, 2073, 361, 275, 13, 2100, 1279, 257, 13, 2100, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 1343, 257, 13, 2100, 532, 275, 13, 2100, 11, 18896, 65, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 3509, 7, 15, 11, 18896, 89, 532, 257, 13, 2100, 1343, 275, 13, 2100, 4008, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 2100, 532, 275, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2860, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2860, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 886, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 198, 220, 220, 1976, 13, 2100, 796, 1188, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 532, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 2198, 62, 8000, 7, 64, 11, 275, 8, 198, 220, 220, 300, 8107, 796, 755, 62, 13664, 7, 64, 8, 198, 220, 220, 18896, 65, 796, 755, 62, 13664, 7, 65, 8, 198, 220, 220, 3718, 796, 949, 7, 64, 13, 3866, 66, 11, 275, 13, 3866, 66, 8, 198, 220, 220, 1188, 796, 949, 7, 64, 13, 2100, 11, 275, 13, 2100, 8, 198, 220, 220, 300, 8107, 796, 949, 7, 75, 8107, 11, 3718, 532, 257, 13, 2100, 8, 198, 220, 220, 18896, 65, 796, 949, 7, 11925, 65, 11, 3718, 532, 275, 13, 2100, 8, 198, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 8, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 611, 257, 13, 2100, 1279, 275, 13, 2100, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 1343, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 275, 11, 3509, 7, 15, 11, 18896, 89, 532, 275, 13, 2100, 1343, 257, 13, 2100, 4008, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 12480, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 92, 828, 1976, 11, 1976, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2860, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 11, 18896, 89, 8, 198, 220, 220, 2073, 361, 275, 13, 2100, 1279, 257, 13, 2100, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 1343, 257, 13, 2100, 532, 275, 13, 2100, 11, 18896, 65, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 3509, 7, 15, 11, 18896, 89, 532, 257, 13, 2100, 1343, 275, 13, 2100, 4008, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 2100, 532, 275, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 7266, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 7266, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 886, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 198, 220, 220, 1976, 13, 2100, 796, 1188, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 1635, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 2198, 62, 8000, 7, 64, 11, 275, 8, 198, 220, 220, 300, 8107, 796, 755, 62, 13664, 7, 64, 8, 198, 220, 220, 18896, 65, 796, 755, 62, 13664, 7, 65, 8, 198, 220, 220, 37441, 796, 29115, 7, 64, 8, 198, 220, 220, 275, 2100, 796, 29115, 7, 65, 8, 198, 220, 220, 3718, 796, 949, 7, 64, 13, 3866, 66, 532, 37441, 11, 275, 13, 3866, 66, 532, 275, 2100, 8, 198, 220, 220, 300, 8107, 796, 949, 7, 75, 8107, 11, 3718, 8, 198, 220, 220, 18896, 65, 796, 949, 7, 11925, 65, 11, 3718, 8, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 2100, 796, 257, 13, 2100, 1343, 275, 13, 2100, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 1343, 1976, 13, 2100, 198, 220, 220, 611, 300, 8107, 6624, 657, 8614, 18896, 65, 6624, 657, 198, 220, 220, 220, 220, 220, 1441, 1976, 198, 220, 220, 886, 198, 220, 220, 18896, 89, 796, 949, 7, 75, 8107, 1343, 18896, 65, 532, 352, 11, 3718, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 76, 724, 322, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 1215, 39158, 13934, 12879, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 1635, 7, 87, 3712, 5317, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 1976, 796, 2560, 7, 88, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 331, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 331, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 76, 377, 62, 13396, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 331, 11, 2124, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 9, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 5317, 8, 796, 331, 1635, 2124, 198, 198, 8818, 1635, 7, 87, 3712, 69, 3149, 89, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 1976, 796, 2560, 7, 88, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 331, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 331, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 76, 377, 62, 69, 3149, 89, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 89, 92, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 331, 11, 2124, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 1635, 7, 87, 3712, 69, 3149, 80, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 1976, 796, 2560, 7, 88, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 331, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 331, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 76, 377, 62, 69, 3149, 80, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 92, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 331, 11, 2124, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 9, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 89, 8, 796, 331, 1635, 2124, 198, 198, 9, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 8, 796, 331, 1635, 2124, 198, 198, 9, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 46541, 8, 796, 2124, 1635, 277, 3149, 89, 7, 88, 8, 198, 198, 9, 7, 87, 3712, 46541, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 89, 7, 87, 8, 1635, 331, 198, 198, 9, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 49, 864, 8, 796, 2124, 1635, 277, 3149, 80, 7, 88, 8, 198, 198, 9, 7, 87, 3712, 49, 864, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 80, 7, 87, 8, 1635, 331, 198, 198, 33747, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 46541, 8, 796, 2124, 1343, 277, 3149, 89, 7, 88, 8, 198, 198, 33747, 87, 3712, 46541, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 89, 7, 87, 8, 1343, 331, 198, 198, 33747, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 49, 864, 8, 796, 2124, 1343, 277, 3149, 80, 7, 88, 8, 198, 198, 33747, 87, 3712, 49, 864, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 80, 7, 87, 8, 1343, 331, 198, 198, 30420, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 46541, 8, 796, 2124, 532, 277, 3149, 89, 7, 88, 8, 198, 198, 30420, 87, 3712, 46541, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 89, 7, 87, 8, 532, 331, 198, 198, 30420, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 49, 864, 8, 796, 2124, 532, 277, 3149, 80, 7, 88, 8, 198, 198, 30420, 87, 3712, 49, 864, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 277, 3149, 80, 7, 87, 8, 532, 331, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 911, 13309, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 6482, 62, 9464, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 18896, 3712, 5317, 8, 198, 220, 220, 18896, 1279, 657, 11405, 3714, 7, 43961, 12331, 28955, 198, 220, 220, 2124, 11925, 796, 755, 62, 13664, 7, 87, 8, 198, 220, 220, 1976, 796, 277, 3149, 80, 62, 2411, 62, 25076, 7, 87, 8, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 1343, 18896, 198, 220, 220, 1976, 13, 2100, 796, 2124, 13, 2100, 1343, 18896, 198, 220, 220, 1976, 13, 8000, 796, 2560, 7, 87, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 6482, 62, 3506, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 18896, 3712, 5317, 8, 198, 220, 220, 18896, 1279, 657, 11405, 3714, 7, 43961, 12331, 28955, 198, 220, 220, 2124, 11925, 796, 755, 62, 13664, 7, 87, 8, 198, 220, 220, 2124, 2100, 796, 29115, 7, 87, 8, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 611, 18896, 18189, 2124, 11925, 1343, 2124, 2100, 198, 220, 220, 220, 220, 220, 1976, 13, 3866, 66, 796, 3509, 7, 15, 11, 2124, 13, 3866, 66, 532, 18896, 8, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 3509, 7, 15, 11, 2124, 13, 3866, 66, 532, 18896, 8, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 1976, 13, 3866, 66, 796, 3509, 7, 15, 11, 2124, 13, 3866, 66, 532, 18896, 8, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 3509, 7, 15, 11, 2124, 2100, 532, 18896, 8, 198, 220, 220, 220, 220, 220, 1976, 11925, 796, 949, 7, 87, 11925, 1343, 2124, 2100, 532, 18896, 11, 2124, 11925, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 3506, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 2124, 11925, 532, 1976, 11925, 8, 198, 220, 220, 220, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 886, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 833, 19524, 341, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 40122, 378, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 3718, 3712, 5317, 8, 198, 220, 220, 3718, 1279, 657, 11405, 3714, 7, 43961, 12331, 28955, 198, 220, 220, 2124, 11925, 796, 755, 62, 13664, 7, 87, 8, 198, 220, 220, 2124, 3866, 66, 796, 15440, 7, 87, 8, 198, 220, 220, 2124, 2100, 796, 29115, 7, 87, 8, 198, 220, 220, 611, 2124, 3866, 66, 1343, 2124, 2100, 19841, 3718, 198, 220, 220, 220, 220, 220, 1441, 2124, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 198, 220, 220, 611, 3718, 19841, 2124, 2100, 198, 220, 220, 220, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 3718, 198, 220, 220, 220, 220, 220, 1976, 13, 3866, 66, 796, 3718, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 2124, 2100, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 949, 7, 3866, 66, 532, 2124, 2100, 11, 2124, 11925, 4008, 198, 220, 220, 886, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 4333, 278, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 10563, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 5317, 8, 198, 220, 220, 275, 1279, 657, 11405, 3714, 7, 43961, 12331, 28955, 198, 220, 220, 611, 318, 5235, 7, 64, 8, 198, 220, 220, 220, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 220, 220, 220, 1976, 796, 900, 1073, 14822, 0, 7, 89, 11, 657, 11, 277, 3149, 80, 7, 16, 4008, 198, 220, 220, 220, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 1343, 275, 532, 352, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 275, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 64, 8, 6624, 657, 198, 220, 220, 220, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 220, 220, 220, 1976, 13, 3866, 66, 796, 275, 9, 2100, 2288, 7, 64, 8, 198, 220, 220, 220, 220, 220, 1976, 13, 2100, 796, 275, 9, 2100, 2288, 7, 64, 8, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 64, 8, 6624, 352, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 5769, 58, 16104, 1073, 14822, 7, 64, 11, 657, 8, 61, 65, 4357, 352, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 65, 532, 352, 27493, 2100, 2288, 7, 64, 8, 1343, 15440, 7, 64, 828, 275, 9, 2100, 2288, 7, 64, 4008, 198, 220, 220, 2073, 361, 275, 6624, 657, 198, 220, 220, 220, 220, 220, 1441, 530, 7, 8000, 7, 64, 4008, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 1643, 796, 5299, 19510, 93, 52, 5317, 7, 15, 4008, 9609, 352, 8, 198, 220, 220, 220, 220, 220, 981, 357, 52, 5317, 7, 2545, 8, 1222, 275, 8, 6624, 657, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1643, 9609, 28, 352, 198, 220, 220, 220, 220, 220, 886, 198, 220, 220, 220, 220, 220, 1976, 796, 257, 198, 220, 220, 220, 220, 220, 1643, 9609, 28, 352, 198, 220, 220, 220, 220, 220, 981, 1643, 14512, 657, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 796, 1976, 9, 89, 198, 220, 220, 220, 220, 220, 220, 220, 220, 611, 357, 52, 5317, 7, 2545, 8, 1222, 275, 8, 14512, 657, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 1635, 28, 257, 198, 220, 220, 220, 220, 220, 220, 220, 220, 886, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1643, 9609, 28, 352, 198, 220, 220, 220, 220, 220, 886, 198, 220, 220, 886, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 34420, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 6624, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 2198, 62, 8000, 7, 87, 11, 331, 8, 198, 220, 220, 3718, 796, 949, 7, 87, 13, 3866, 66, 11, 331, 13, 3866, 66, 8, 198, 220, 220, 611, 3718, 19841, 2124, 13, 2100, 11405, 3718, 19841, 331, 13, 2100, 198, 220, 220, 220, 220, 220, 1441, 2081, 198, 220, 220, 886, 198, 220, 220, 611, 2124, 13, 2100, 14512, 331, 13, 2100, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 886, 198, 220, 220, 2124, 11925, 796, 3487, 786, 7, 87, 11, 949, 7, 16104, 62, 13664, 7, 87, 828, 3718, 532, 2124, 13, 2100, 4008, 198, 220, 220, 331, 11925, 796, 3487, 786, 7, 88, 11, 949, 7, 16104, 62, 13664, 7, 88, 828, 3718, 532, 331, 13, 2100, 4008, 198, 220, 220, 611, 2124, 11925, 14512, 331, 11925, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 886, 198, 220, 220, 1441, 347, 970, 7, 535, 439, 19510, 25, 69, 3149, 80, 62, 35428, 62, 40496, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 327, 600, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 2124, 11, 331, 11, 2124, 11925, 4008, 198, 437, 198, 198, 8818, 318, 40496, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 611, 2560, 7, 87, 8, 14512, 2560, 7, 88, 8, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 886, 198, 220, 220, 611, 2124, 13, 3866, 66, 14512, 331, 13, 3866, 66, 8614, 2124, 13, 2100, 14512, 331, 13, 2100, 8614, 755, 62, 13664, 7, 87, 8, 14512, 755, 62, 13664, 7, 88, 8, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 886, 198, 220, 220, 1441, 347, 970, 7, 535, 439, 19510, 25, 69, 3149, 80, 62, 35428, 62, 40496, 11, 1058, 8019, 2704, 600, 828, 327, 600, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 2124, 11, 331, 11, 755, 62, 13664, 7, 87, 22305, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 1215, 39158, 17909, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 6624, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 8, 198, 220, 220, 611, 15440, 7, 87, 8, 6624, 657, 198, 220, 220, 220, 220, 220, 1441, 2081, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 87, 8, 1875, 352, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 87, 8, 6624, 352, 198, 220, 220, 220, 220, 220, 611, 2124, 13, 2100, 6624, 657, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 796, 277, 3149, 80, 3419, 198, 220, 220, 220, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1136, 62, 1073, 14822, 62, 69, 3149, 80, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 1976, 11, 2124, 11, 657, 8, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1441, 269, 13345, 19510, 25, 69, 3149, 80, 62, 40496, 11, 1058, 8019, 2704, 600, 828, 347, 970, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 5512, 6524, 90, 69, 3149, 80, 5512, 2558, 828, 1976, 11, 331, 11, 657, 8, 198, 220, 220, 220, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 220, 220, 220, 886, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 1441, 318, 22570, 7, 88, 8, 198, 220, 220, 886, 198, 437, 198, 198, 8818, 6624, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 89, 8, 198, 220, 220, 611, 15440, 7, 87, 8, 6624, 657, 198, 220, 220, 220, 220, 220, 1441, 2081, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 87, 8, 1875, 352, 198, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 2073, 361, 755, 62, 13664, 7, 87, 8, 6624, 352, 198, 220, 220, 220, 220, 220, 611, 2124, 13, 2100, 6624, 657, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 796, 277, 3149, 80, 3419, 198, 220, 220, 220, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1136, 62, 1073, 14822, 62, 69, 3149, 80, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 1976, 11, 2124, 11, 657, 8, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1441, 318, 505, 7, 6559, 6351, 1352, 7, 89, 4008, 11405, 269, 13345, 19510, 25, 69, 3149, 89, 62, 40496, 11, 1058, 8019, 2704, 600, 828, 347, 970, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 89, 5512, 6524, 90, 69, 3149, 89, 5512, 2558, 828, 5470, 1352, 7, 89, 828, 331, 11, 657, 8, 198, 220, 220, 220, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 220, 220, 220, 1441, 3991, 198, 220, 220, 220, 220, 220, 886, 198, 220, 220, 2073, 198, 220, 220, 220, 220, 220, 1441, 318, 22570, 7, 88, 8, 198, 220, 220, 886, 198, 437, 198, 198, 855, 7, 87, 3712, 69, 3149, 89, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 331, 6624, 2124, 198, 198, 855, 7, 87, 3712, 69, 3149, 80, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 331, 6624, 2124, 198, 198, 855, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 46541, 8, 796, 2124, 6624, 277, 3149, 89, 7, 88, 8, 198, 198, 855, 7, 87, 3712, 46541, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 796, 331, 6624, 2124, 198, 198, 855, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 49, 864, 90, 51, 30072, 810, 309, 1279, 25, 4479, 90, 5317, 11, 4403, 5317, 92, 796, 2124, 6624, 277, 3149, 80, 7, 88, 8, 198, 198, 855, 7, 87, 3712, 49, 864, 90, 51, 5512, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 810, 309, 1279, 25, 4479, 90, 5317, 11, 4403, 5317, 92, 796, 331, 6624, 2124, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 1475, 529, 7297, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 15647, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 2198, 62, 8000, 7, 87, 11, 331, 8, 198, 220, 220, 318, 22570, 7, 88, 8, 11405, 3714, 7, 24095, 485, 12331, 28955, 198, 220, 220, 331, 2100, 796, 29115, 7, 88, 8, 198, 220, 220, 2124, 2100, 796, 29115, 7, 87, 8, 198, 220, 220, 611, 331, 2100, 14512, 657, 198, 220, 220, 220, 220, 220, 611, 2124, 2100, 18189, 331, 2100, 198, 220, 220, 220, 220, 220, 220, 220, 220, 2124, 796, 6482, 62, 3506, 7, 87, 11, 331, 2100, 8, 198, 220, 220, 220, 220, 220, 220, 220, 220, 331, 796, 6482, 62, 3506, 7, 88, 11, 331, 2100, 8, 198, 220, 220, 220, 220, 220, 886, 198, 220, 220, 886, 198, 220, 220, 5145, 271, 20850, 7, 88, 8, 11405, 4049, 7203, 3118, 540, 284, 287, 1851, 1176, 2168, 4943, 198, 220, 220, 3718, 796, 949, 7, 87, 13, 3866, 66, 532, 2124, 13, 2100, 11, 331, 13, 3866, 66, 532, 331, 13, 2100, 8, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 1976, 13, 2100, 796, 2124, 2100, 532, 331, 2100, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 1343, 1976, 13, 2100, 198, 220, 220, 611, 3718, 14512, 657, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 7146, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 331, 11, 3718, 8, 198, 220, 220, 886, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 1215, 39158, 2748, 7297, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 15647, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 5317, 8, 198, 220, 220, 331, 6624, 657, 11405, 3714, 7, 24095, 485, 12331, 28955, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 2124, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 67, 425, 87, 529, 62, 13396, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 331, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 15647, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 89, 8, 198, 220, 220, 318, 22570, 7, 88, 8, 11405, 3714, 7, 24095, 485, 12331, 28955, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 2124, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 67, 425, 87, 529, 62, 69, 3149, 89, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 89, 92, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 331, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 15647, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 69, 3149, 80, 8, 198, 220, 220, 318, 22570, 7, 88, 8, 11405, 3714, 7, 24095, 485, 12331, 28955, 198, 220, 220, 1976, 796, 2560, 7, 87, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 3866, 66, 796, 2124, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 2124, 13, 2100, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 1416, 282, 283, 62, 7146, 62, 69, 3149, 80, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 92, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 2124, 11, 331, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 67, 425, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 46541, 8, 796, 15647, 87, 529, 7, 87, 11, 277, 3149, 89, 7, 88, 4008, 198, 198, 67, 425, 87, 529, 7, 87, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 331, 3712, 49, 864, 90, 51, 30072, 810, 309, 1279, 25, 4479, 90, 5317, 11, 4403, 5317, 92, 796, 15647, 87, 529, 7, 87, 11, 277, 3149, 80, 7, 88, 4008, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 554, 9641, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 800, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 318, 22570, 7, 64, 8, 11405, 3714, 7, 24095, 485, 12331, 28955, 198, 220, 220, 5145, 271, 20850, 7, 64, 8, 11405, 4049, 7203, 3118, 540, 284, 287, 1851, 1176, 2168, 4943, 198, 220, 220, 257, 16340, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 257, 16340, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 257, 16340, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 16340, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 257, 16340, 11, 257, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 1441, 257, 16340, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 6093, 5499, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 7308, 13, 11201, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 1033, 4943, 198, 220, 220, 611, 755, 62, 13664, 7, 64, 8, 1343, 29115, 7, 64, 8, 6624, 657, 8614, 257, 13, 3866, 66, 6624, 352, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 5769, 58, 69, 3149, 80, 7, 16, 8, 4357, 352, 11, 257, 13, 3866, 66, 11, 657, 8, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 11201, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 2604, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 2604, 3, 7, 64, 8, 35307, 26848, 262, 6937, 3381, 284, 307, 530, 13, 198, 37811, 198, 8818, 2604, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 14512, 657, 8614, 763, 14822, 7, 64, 11, 657, 8, 14512, 352, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 530, 287, 2604, 4943, 198, 220, 220, 611, 755, 62, 13664, 7, 64, 8, 1343, 29115, 7, 64, 8, 6624, 352, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 6404, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 25706, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 25706, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 25706, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 25706, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 38006, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 25706, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 25706, 71, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 25706, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 25706, 71, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 38006, 71, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 7813, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 7813, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 7813, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 7813, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2213, 19524, 378, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 31369, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 7813, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 7813, 71, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 7813, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 7813, 71, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 31369, 71, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 8615, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 8615, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 8615, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 8615, 4943, 198, 220, 220, 611, 755, 62, 13664, 7, 64, 8, 1343, 29115, 7, 64, 8, 6624, 657, 8614, 257, 13, 3866, 66, 6624, 352, 198, 220, 220, 220, 220, 220, 1441, 530, 7, 8000, 7, 64, 4008, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2213, 19524, 378, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 6966, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 269, 3768, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 269, 3768, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 269, 3768, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 269, 3768, 4943, 198, 220, 220, 611, 755, 62, 13664, 7, 64, 8, 1343, 29115, 7, 64, 8, 6624, 657, 8614, 257, 13, 3866, 66, 6624, 352, 198, 220, 220, 220, 220, 220, 1441, 530, 7, 8000, 7, 64, 4008, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 66, 3768, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 355, 259, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 355, 259, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 355, 259, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 355, 259, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 47337, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 355, 259, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 355, 259, 71, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 355, 259, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 355, 259, 71, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 47337, 71, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 379, 272, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 379, 272, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 379, 272, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 379, 272, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 39036, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 379, 272, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 379, 272, 71, 3, 7, 64, 8, 35307, 26848, 257, 6632, 6937, 3381, 13, 198, 37811, 198, 8818, 379, 272, 71, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 6624, 657, 11405, 755, 62, 13664, 7, 64, 8, 14512, 657, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 6632, 287, 379, 272, 71, 4943, 198, 220, 220, 611, 318, 22570, 7, 64, 8, 8614, 257, 13, 3866, 66, 1279, 362, 198, 220, 220, 220, 220, 220, 1441, 2560, 7, 64, 8, 3419, 198, 220, 220, 886, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 2100, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 39036, 71, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 8851, 6636, 1096, 0, 7, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 15390, 37811, 198, 220, 220, 19862, 17034, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 29, 8229, 262, 1176, 2168, 6616, 6808, 286, 720, 64, 35307, 26848, 257, 6937, 3381, 4961, 284, 198, 29, 530, 13, 198, 37811, 198, 8818, 19862, 17034, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 357, 64, 13, 2100, 14512, 657, 8614, 763, 14822, 7, 64, 11, 657, 8, 14512, 352, 8, 11405, 4049, 7203, 3103, 18797, 3381, 407, 530, 287, 19862, 17034, 4943, 198, 220, 220, 1976, 796, 2560, 7, 64, 8, 3419, 198, 220, 220, 1976, 13, 3866, 66, 796, 257, 13, 3866, 66, 198, 220, 220, 1976, 13, 2100, 796, 657, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 31166, 17034, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 257, 13, 3866, 66, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 29113, 29113, 7804, 4242, 21017, 198, 2, 198, 2, 220, 220, 791, 21230, 5499, 198, 2, 198, 29113, 29113, 7804, 4242, 21017, 198, 198, 8818, 6632, 0, 7, 89, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 22570, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 828, 1976, 8, 198, 220, 220, 1976, 13, 3866, 66, 796, 2560, 7, 89, 737, 3866, 66, 62, 9806, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 900, 1073, 14822, 0, 7, 89, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 299, 3712, 5317, 11, 2124, 3712, 69, 3149, 80, 8, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 1073, 14822, 62, 69, 3149, 80, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 11, 6524, 90, 69, 3149, 80, 92, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 299, 11, 2124, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 35971, 0, 7, 89, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 257, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 300, 8107, 796, 755, 62, 13664, 7, 64, 8, 198, 220, 220, 18896, 65, 796, 755, 62, 13664, 7, 65, 8, 198, 220, 220, 37441, 796, 29115, 7, 64, 8, 198, 220, 220, 275, 2100, 796, 29115, 7, 65, 8, 198, 220, 220, 3718, 796, 949, 7, 64, 13, 3866, 66, 532, 37441, 11, 275, 13, 3866, 66, 532, 275, 2100, 8, 198, 220, 220, 300, 8107, 796, 949, 7, 75, 8107, 11, 3718, 8, 198, 220, 220, 18896, 65, 796, 949, 7, 11925, 65, 11, 3718, 8, 198, 220, 220, 1976, 13, 2100, 796, 257, 13, 2100, 1343, 275, 13, 2100, 198, 220, 220, 1976, 13, 3866, 66, 796, 3718, 1343, 269, 13, 2100, 198, 220, 220, 18896, 89, 796, 949, 7, 75, 8107, 1343, 18896, 65, 532, 352, 11, 3718, 8, 198, 220, 220, 611, 300, 8107, 19841, 657, 8614, 18896, 65, 19841, 657, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 657, 198, 220, 220, 886, 198, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 76, 724, 322, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 257, 11, 275, 11, 18896, 89, 8, 198, 220, 220, 1441, 1976, 198, 437, 198, 198, 8818, 751, 27363, 0, 7, 64, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 11, 275, 3712, 69, 3149, 80, 62, 2411, 62, 25076, 8, 198, 220, 220, 300, 8107, 796, 755, 62, 13664, 7, 64, 8, 198, 220, 220, 18896, 65, 796, 755, 62, 13664, 7, 65, 8, 198, 220, 220, 3718, 796, 949, 7, 64, 13, 3866, 66, 11, 275, 13, 3866, 66, 8, 198, 220, 220, 1188, 796, 949, 7, 64, 13, 2100, 11, 275, 13, 2100, 8, 198, 220, 220, 300, 8107, 796, 949, 7, 75, 8107, 11, 3718, 532, 257, 13, 2100, 8, 198, 220, 220, 18896, 65, 796, 949, 7, 11925, 65, 11, 3718, 532, 275, 13, 2100, 8, 198, 220, 220, 611, 257, 13, 2100, 1279, 275, 13, 2100, 198, 220, 220, 220, 220, 220, 1976, 796, 277, 3149, 80, 62, 2411, 62, 25076, 3419, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 11, 18896, 65, 1343, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2617, 62, 2213, 19524, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 275, 11, 3509, 7, 15, 11, 18896, 89, 532, 275, 13, 2100, 1343, 257, 13, 2100, 4008, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 30846, 62, 9464, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1976, 11, 1976, 11, 275, 13, 2100, 532, 257, 13, 2100, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2860, 62, 25076, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 6524, 90, 69, 3149, 80, 62, 2411, 62, 25076, 5512, 2558, 828, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 257, 11, 257, 11, 1976, 11, 18896, 89, 8, 198, 220, 220, 2073, 361, 275, 13, 2100, 1279, 257, 13, 2100, 198, 220, 220, 220, 220, 220, 18896, 89, 796, 3509, 7, 75, 8107, 1343, 257, 13, 2100, 532, 275, 13, 2100, 11, 18896, 65, 8, 198, 220, 220, 220, 220, 220, 269, 13345, 19510, 25, 69, 3149, 80, 62, 35428, 62, 2213, 19524, 378, 11, 1058, 8019, 2704, 600, 828, 18331, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 357, 8134, 90, 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2.071602
15,223
module PlutoUtils using Comonicon using Pluto """ open a Pluto notebook at given path. # Arguments - `file`: file path of the Pluto notebook. # Options - `--host <ip>`: default is 127.0.0.1 (localhost) - `-p,--port <int>`: port you want to specify, default is 1234 - `--project <path>`: notebook project path, default is Julia's default global environment. # Flags - `-l,--launchbrowser`: add this flag to launch browser. """ @cast function open(file; host="127.0.0.1", port::Int=1234, launchbrowser::Bool=false, project=nothing) isfile(file) || error("file $file does not exist!") s = Pluto.ServerSession() config = Pluto.ServerConfiguration(launch_browser=launchbrowser) nb = Pluto.SessionActions.open(s, file; project=project) println("you can open the notebook at: http://localhost:$port/edit?id=$(nb.notebook_id)") Pluto.run(host, port;configuration=config, session=s) return end """ start Pluto notebook server. # Options - `--host <ip>`: default is 127.0.0.1 (localhost) - `-p,--port <int>`: port you want to specify, default is 1234 - `--project <path>`: custom project path, default is Julia's default global environment. # Flags - `-l,--launchbrowser`: add this flag to launch browser. """ @cast function run(;host="127.0.0.1", port::Int=1234, launchbrowser::Bool=false, project=nothing) config = Pluto.ServerConfiguration(launch_browser=launchbrowser) s = ServerSession(default_environment_path=project) Pluto.run(host, port; configuration=config, session=s) end @main name="pluto" doc="Pluto CLI - Lightweight reactive notebooks for Julia" end
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3.009328
536
""" Description The last() method returns the last n number of observations in a TimeArray Usage using MarketData last(cl) # returns the last observation last(cl, 10) # returns the last 10 observations Method Signature(s) last(ts::TimeSeries.TimeArray, n::Int=1) Details The last function subsets a TimeSeries.Timearray by the last n observations. When n is not supplied, it defaults to n=1. See Also last() which takes the last n observations from a TimeSeries.TimeArray """ function last(ts::TimeSeries.TimeArray, n::Int=1) ts[length(ts)-n+1:length(ts)] end
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2.880734
218
mutable struct OrdDict{K,V} <: AbstractDict{K,V} items::Vector{Pair{K, V}} end # constructors OrdDict{K,V}() where {K,V} = OrdDict(Pair{K, V}[]) OrdDict(items...) = OrdDict(collect(items)) import Base: getindex, setindex!, get, delete!, length, iterate, getproperty, setproperty!, haskey, isempty, union, copy, push! # iteration definitions length(a::OrdDict) = length(a.items) isempty(a::OrdDict) = isempty(a.items) iterate(a::OrdDict) = iterate(a.items) iterate(a::OrdDict, i) = iterate(a.items, i) # example inferred type # julia> pairs = ["two" => 2, "four" => 4] # 2-element Vector{Pair{String, Int64}}: # "two" => 2 # "four" => 4 # julia> dict = OrdDict(pairs) # OrdDict{String, Int64} with 2 entries: # "two" => 2 # "four" => 4 # example of dictionary behavior # julia> item = OrdDict(:row=> "1", :column=> "2") # OrdDict{Symbol, String} with 2 entries: # :row => "1" # :column => "2" # julia> for (k,v) in item # println("key: ", k, " value: ", v) # end # key: row value: 1 # key: column value: 2 # # Engheim forgot to assign the collection to a variable # julia> map(first, item) # ERROR: map is not defined on dictionaries # Stacktrace: # [1] error(s::String) # @ Base ./error.jl:33 # [2] map(f::Function, #unused#::OrdDict{Symbol, String}) # @ Base ./abstractarray.jl:2880 # [3] top-level scope # @ REPL[8]:1 # julia> items = collect(item) # 2-element Vector{Pair{Symbol, String}}: # :row => "1" # :column => "2" # julia> map(first, items) # 2-element Vector{Symbol}: # :row # :column # julia> map(last, items) # 2-element Vector{String}: # "1" # "2" # need to add parametric type to method signature to match struct function getindex(a::OrdDict{K, V}, key::K) where {K, V} for item in a.items if first(item) == key return last(item) end end throw(KeyError(key)) end # alternative multiple dispatch implementation by number - same as original getindex(a::OrdDict, index::Integer) = a.items[index] # need to add parametric type to method signature to match struct function setindex!(a::OrdDict{K, V}, value::V, key::K) where {K, V} for (i, item) in enumerate(a.items) if first(item) == key a.items[i] = key => value return end end push!(a.items, key => value) end # need to add parametric type to method signature to match struct function push!(a::OrdDict{K, V}, x::Pair{K, V}) where {K, V} push!(a.items, x) end # need this for setproperty! be;ow push!(a::OrdDict, x::Pair{Symbol, String}) = push!(a.items, x) function haskey(a::OrdDict{K, V}, key::K) where {K, V} for item in a.items if first(item) == key return true end end false end function delete!(a::OrdDict{K, V}, key::K) where {K, V} for (i, item) in enumerate(a.items) if first(item) == key deleteat!(a.items, i) end end a end # make it act like a dictionary # need to keep the OrdDict.items to behave as usual # only works if explicity in method signature make Key type symbol, since original expects value of type symbol function getproperty(a::OrdDict, key::Symbol) if key == :items getfield(a, :items) else a[key] end end # value can be of any type function setproperty!(a::OrdDict, key::Symbol, value) if key == :items setfield!(a, :item, value) else a[key] = value end end # use example in OrdDict # julia> d = OrdDict(:one => "1", :two => "2") # OrdDict{Symbol, String} with 2 entries: # :one => "1" # :two => "2" # julia> d[:three] = "three" # "three" # julia> d.three # "three" # julia> d.four = "4" # "4" # julia> d.items # 4-element Vector{Pair{Symbol, String}}: # :one => "1" # :two => "2" # :three => "three" # :four => "4" # julia> d[:two] # "2" # Example where value is Integer # julia> d = OrdDict(:one => 1, :two => 2) # OrdDict{Symbol, Int64} with 2 entries: # :one => 1 # :two => 2 # julia> d[:three] = 3 # 3 # julia> d[:two] # 2 # julia> d.items # 3-element Vector{Pair{Symbol, Int64}}: # :one => 1 # :two => 2 # :three => 3
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""" package ModiaMedia Media models for use with Modia and other Julia packages. It is planned that this package contains media property models to be used in package [Modia](https://github.com/ModiaSim/Modia.jl), but also in other Julia packages. The initial goal is to achieve a similar functionality as [Modelica.Media](https://doc.modelica.org/Modelica%203.2.3/Resources/helpDymola/Modelica_Media.html#Modelica.Media), the standard media library for Modelica models, but with improvements based on Julia's features such as multiple dispatch. A medium model is basically a struct that has the following structure: ``` mutable struct MediumName <: AbstractMedium infos::ModiaMedium.FluidInfos fluidConstants::SVector{1,ModiaMedium.AbstractFluidConstants} fluidLimits::ModiaMedium.FluidLimits data::MediumSpecificData end ``` and functions operating on instances of such a struct. This package is currently under development. """ module ModiaMedia const path = dirname(dirname(@__FILE__)) # Absolute path of package directory const Version = "0.1.0-dev" const Date = "2019-02-25" println(" \nImporting ModiaMedia Version $Version ($Date)") # Export Abstract types export AbstractMedium export PureSubstance export MixtureMedium export CondensingGases export ThermodynamicState export MixtureThermodynamicState export AbstractFluidConstants # Export types used in a Medium export FluidInfos export FluidLimits export BasicFluidConstants export IdealGasFluidConstants # Export State structs export SimpleMediumState export SingleGasNasaState export SimpleIdealGasMediumState export MoistAirState # Export general functions export getMedium, listMedia, standardCharacteristics, standardPlot # Export set state functions export setState_pTX, setState_pTX!, setState_pT, setState_pT! export setState_phX, setState_phX!, setState_ph, setState_ph! export setState_psX, setState_psX!, setState_ps, setState_ps! export setState_dTX, setState_dTX!, setState_dT, setState_dT! export isenthalpicState, isenthalpicState! # Export thermodynamic property functions for all media export density, density_phX, density_pTX, density_der_1, density_pT, density_pT_der_1, density_pT_der_2, density_pT_der_3 export specificInternalEnergy_T, specificInternalEnergy_T_der_1, specificInternalEnergy_T_der_2 export temperature, temperature_phX, temperature_ph export pressure, pressure_dT export specificEnthalpy, specificEnthalpy_pTX, specificEnthalpy_dT, specificEnthalpy_T export specificInternalEnergy, specificHeatCapacityCp export dynamicViscosity export gasConstant # Export PureSubstance thermodynamic property functions export density_ph, temperature_ph, pressure_dT, specificEnthalpy_dT # Export MoistAir specific functions export saturationPressureOfLiquidWater export sublimationPressureIce export saturationPressureOfWater # Enumeration values export IndependentVariables, IndependentVariables_T, IndependentVariables_pT, IndependentVariables_ph export IndependentVariables_phX, IndependentVariables_pT, IndependentVariables_dTX export ReferenceEnthalpy, ReferenceEnthalpy_ZeroAt0K, ReferenceEnthalpy_ZeroAt25C, ReferenceEnthalpy_UserDefined export ReferenceEntropy , ReferenceEntropy_ZeroAt0K , ReferenceEntropy_ZeroAt0C , ReferenceEntropy_UserDefined ### Abstract types ------------------------------------------------------------------------------- # The following structures and names are identical to Modelica.Media.Interfaces # with the only exception, that "Partial" is replaced by "Abstract" """ abstract type AbstractMedium Abstract type of all media. """ abstract type AbstractMedium end """ abstract type PureSubstance <: AbstractMedium Abstract type of all media consisting of a pure substance. """ abstract type PureSubstance <: AbstractMedium end """ abstract type MixtureMedium <: AbstractMedium Abstract type of all media consisting of a mixture of media. """ abstract type MixtureMedium <: AbstractMedium end """ abstract type CondensingGases <: AbstractMedium Abstract type of all media consisting of condensing media. """ abstract type CondensingGases <: MixtureMedium end """ abstract type ThermodynamicState Abstract type of all media states. """ abstract type ThermodynamicState end """ abstract type MixtureThermodynamicState <: ThermodynamicState Abstract type of the states of all media consisting of a mixture of media. """ abstract type MixtureThermodynamicState <: ThermodynamicState end """ abstract type AbstractFluidConstants Abstract type of all FluidConstants structures. """ abstract type AbstractFluidConstants end ### Importing packages ------------------------------------------------------------------------------- using JSON using StaticArrays using Unitful import DataFrames import ModiaMath import Serialization ### Including files for the ModiaMedia module -------------------------------------------------------- include("Interfaces/PartialMedium.jl") include("Interfaces/PartialPureSubstance.jl") include("Interfaces/PartialMixtureMedium.jl") include("Interfaces/PartialCondensingGases.jl") include("Media/SimpleMedium.jl") include("Media/SimpleIdealGasMedium.jl") include("Media/SingleGasNasa.jl") include("Media/MoistAir.jl") const mediumDictFile = "$path/src/Media/media.julia_serializer" const generateDictFile = "$path/dict/GenerateMediumDict.jl" const mediumDict = Array{Any}(nothing,1) ### Load medium dictionary from file function loadMediumDictFile() global mediumDictFile println("... Read media dictionary from file:\n", " ", mediumDictFile) f = open(mediumDictFile) dict = Serialization.deserialize(f) close(f) return dict end function loadMediumDict() global generateDictFile if isfile(mediumDictFile) try dict = loadMediumDictFile() catch println("... Regenerate media dictionary") include(generateDictFile) dict = loadMediumDictFile() end else include(generateDictFile) dict = loadMediumDictFile() end return dict end """ Medium = getMedium(name::AbstractString) Return `Medium` object from medium `name`. Possible values of argument `name` can be inquired via `listMedia()` ([Available media](@ref)). # Examples ```julia medium = getMedium("SimpleAir") ``` """ function getMedium(name::AbstractString)::AbstractMedium global mediumDict if typeof(mediumDict[1]) == Nothing mediumDict[1] = loadMediumDict() end return mediumDict[1][name] end """ listMedia() List available media of ModiaMedia. """ function listMedia()::Nothing global mediumDict if typeof(mediumDict[1]) == Nothing mediumDict[1] = loadMediumDict() end dict = mediumDict[1] media_table = DataFrames.DataFrame(name=AbstractString[], type=Symbol[]) for key in sort(collect(keys(dict))) push!(media_table, [key, Symbol(typeof(dict[key]))]) end println("\nMedia available in ModiaMedia:\n") show(media_table,allrows=true,allcols=true,summary=false) return nothing end # Import packages that are used in examples and tests # (in order that there are no requirements on the environment # in which the examples and tests are executed). import JSON import ModiaMath import Serialization import StaticArrays import Unitful import Test end # module
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# module LFP # function chunk_bymarker(data::Array{D, N}, marker::Vector{T}, roi::Tuple{T, T}, freq::T, mbias::T=0) where {D, T, N} # gap = (roi[2]-roi[1]) * freq |> ceil |> Int64 # result = zeros(D, size(data, 1), gap, size(data, 2)) # for (midx, eachm) in enumerate(marker) # _start = (eachm + roi[1] + mbias) * freq |> floor |> Int64 # result = [:, :, midx] = #TODO # end # #TODO # end function chunk_bymarker(data::Array{D, 2}, marker::Vector{T}, roi::Tuple{T,T}, freq::T; mbias::T=0.0) where {D, T} ngap = (roi[2] - roi[1]) * freq |> ceil |> Int _result = zeros(D, ngap, size(data, 2), length(marker)) for (_idx, _marker) in enumerate(marker) _start = (_marker + roi[1] + mbias) * freq |> floor |> Int _result[:, :, _idx] = data[_start:_start+ngap-1, :] end _result end function chunk_bymarker(data::Vector{D}, marker::Vector{T}, roi::Tuple{T,T}, freq::T; mbias::T=0.0) where {D, T} ngap = (roi[2] - roi[1]) * freq |> ceil |> Int _result = zeros(D, ngap, length(marker)) for (_idx, _marker) in enumerate(marker) _start = (_marker + roi[1] + mbias) * freq |> floor |> Int _result[:, _idx] = data[_start:_start+ngap-1] end _result end include("LFP/iSplitContainer.jl") include("LFP/Decomposition.jl") # for both one-dimensional and two-dimensional size. # Container.jl # create compact channel data (i.e. iSplit format) # load compact channel data # create_epoch, chunk_iSplit, # Decomposition.jl # morlet wavelet transformation # cmplx_power # cmplx_phase # Filter.jl # gaussian window filter # end
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module StaticValues import Base: splitprec, truncbits, truncmask, twiceprecision, TwicePrecision, canonicalize2 import Base: eltype, promote_eltype, values, log10, isfinite, zero, iszero, abs, abs2, isless, max, min, div, rem, promote_rule, @pure import Base: getindex, length, first, step, last, firstindex, lastindex, size, eltype export SInt128, SInt16, SInt32, SInt64, SInt, SInt8, SUInt128, SUInt64, SUInt, SUInt32, SUInt16, SUInt8, SBool, SFloat16, SFloat32, SFloat64, AbstractInt64, AbstractInt32, AbstractInt16, AbstractInt8, AbstractUInt64, AbstractUInt32, AbstractUInt16, AbstractUInt8, AbstractFloat64, AbstractFloat32, AbstractFloat16, SSigned, SUnsigned, SInteger, SFloat, SReal, SNumber, SVal, TPVal, SOne, SZero, SChar, SSymbol, UnitSRange, UnitMRange, # OneToSRange, StaticStepRangeLen, StepSRangeLen, StepSRange, StepMRange, LinSRange, LinMRange, OffsetSRange, OffsetMRange, CartesianSIndices, CartesianMIndices, LinearSIndices, LinearMIndices, NamedRange, AbstractIndices, SIndices, MIndices struct Dynamic end const BaseUnsigned = Union{UInt128,UInt16,UInt32,UInt64,UInt8} const BaseSigned = Union{Int128,Int16,Int32,Int64,Int8} const BaseInteger = Union{Int128,Int16,Int32,Int64,Int8, UInt128,UInt16,UInt32,UInt64,UInt8,Bool} const BaseFloat = Union{Float64,Float32,Float16} const BaseReal = Union{Int128,Int16,Int32,Int64,Int8, UInt128,UInt16,UInt32,UInt64,UInt8, Bool,Float64,Float32,Float16,Rational,Irrational} const BaseNumber = Union{Int128,Int16,Int32,Int64,Int8, UInt128,UInt16,UInt32,UInt64,UInt8, Bool,Float64,Float32,Float16, Rational,Irrational, Complex} const BaseAny = Union{<:BaseNumber,Char,TwicePrecision} include("deffunctions.jl") include("signed.jl") include("unsigned.jl") include("int.jl") include("float.jl") include("rational.jl") include("real.jl") include("complex.jl") include("char.jl") include("types.jl") include("intfuncs.jl") include("floatfuncs.jl") include("twiceprecision.jl") include("functions.jl") #const IEEESFloat = Union{Float16,Float32,Float64,SFloat16,SFloat32,SFloat64} const F_or_FF = Union{<:AbstractFloat, Tuple{<:AbstractFloat,<:AbstractFloat}} f64(x::BaseFloat) = Float64(x) f64(x::Tuple{<:BaseFloat,<:BaseFloat}) = Float64(x[1]) + Float64(x[2]) f64(x::SFloat) = SFloat64(x) f64(x::Tuple{<:SFloat,<:SFloat}) = SFloat64(x[1]) + SFloat64(x[2]) tp64(x::BaseNumber) = TwicePrecision{Float64}(x) tp64(x::Tuple{<:BaseNumber,<:BaseNumber}) = TwicePrecision{Float64}(x[1], x[2]) tp64(x::SReal) = TPVal(ofeltype(Float64, x)) tp64(x::Tuple{H,L}) where {H<:SReal,L<:SReal} = TPVal(Float64, x[1]::H, x[2]::L) ofeltype(::Type{T}, x::BaseNumber) where T = convert(eltype(T), x) include("staticrange.jl") include("staticstartrange.jl") include("unitrange.jl") include("staticordinalrange.jl") include("steprange.jl") include("linrange.jl") include("steprangelen.jl") include("srange.jl") include("colon.jl") include("rangefuncs.jl") include("offsetrange.jl") include("staticrangewrapper.jl") include("namedrange.jl") include("indices.jl") """ isstatic(x) -> Bool Determine whether a type is static. # Examples ```jldoctest julia> isstatic(SOne) true julia> isstatic(1) false ``` """ function isstatic end # TODO examples, and ensure all ranges have this """ tostatic(x) Returns the statically defined version of a type. """ function tostatic end #include("math.jl") end
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""" Subroutine dmid This subroutine computes the projection of x on the n-dimensional interval [xl,xu]. MINPACK-2 Project. March 1999. Argonne National Laboratory. Chih-Jen Lin and Jorge J. More'. """ function dmid(n,x,xl,xu) @inbounds for i=1:n x[i] = max(xl[i],min(x[i],xu[i])) end return end
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function getOccupancyString(n::Int64) return Tuple([bitstring(i)[end-n+1:end] for i = 0:2^n-1]) end const ROOK_SHIFTS = (8, -8, -1, 1) #N, S, W, E const BISHOP_SHIFTS = (9, 7, -7, -9) #NE, NW, SE, SW function getNumberOfSquares(square::UInt64, rook::Bool, d::Int64) rook ? mask = ROOK_MASKS[square] : mask = BISHOP_MASKS[square] rook ? shifts = ROOK_SHIFTS : shifts = BISHOP_SHIFTS c = 0 while true (square << (shifts[d]*(c+1)) & mask) == EMPTY ? break : c+=1 end return c end function getNumberOfBits(square::UInt64, rook::Bool) return reduce(+, [getNumberOfSquares(square, rook, d) for d=1:4]) end function bitsGen(rook::Bool) bits = Dict{UInt64,Int64}() [push!(bits, sq=>getNumberOfBits(sq, rook)) for sq in values(PGN2UINT)] return bits end const ROOK_BITS = bitsGen(true) const BISHOP_BITS = bitsGen(false) function occupancyGen(rook::Bool) occupancies = Dict{UInt64, Tuple{Vararg{UInt64}}}() rook ? shifts = ROOK_SHIFTS : shifts = BISHOP_SHIFTS for sq in values(PGN2UINT) square_occs = [] occs = [getOccupancyString(getNumberOfSquares(sq, rook, i)) for i=1:4] for ds in Iterators.product(occs...) occ = EMPTY [[if ds[j][i] == '1'; occ |= (sq<<(shifts[j]*i)) end for i=1:length(ds[j])] for j=1:4] push!(square_occs, occ) end push!(occupancies, sq=>tuple(square_occs...)) end return occupancies end const ORTHO_OCCS = occupancyGen(true) const DIAGO_OCCS = occupancyGen(false) function randomMagic() return rand(UInt64) & rand(UInt64) & rand(UInt64) end function magicSquareGen(square::UInt64, rook::Bool, bits::Int64) rook ? occupancies = ORTHO_OCCS : occupancies = DIAGO_OCCS rook ? slider = orthoAttack : slider = diagoAttack attacks = [slider(square, var) for var in values(occupancies[square])] while true magic = randomMagic() targets = zeros(UInt64, 2^bits) collision = false for j=1:length(attacks) i = ((occupancies[square][j]*magic) >> (64-bits)) + 1 if targets[i] == EMPTY targets[i] = attacks[j] elseif targets[i] == attacks[j] continue else collision = true break end end collision ? continue : return magic, tuple(targets...) end end function magicTableGen(rook::Bool) rook ? bits = ROOK_BITS : bits = BISHOP_BITS magic_table = Dict{UInt64, UInt64}() attacks = Dict{UInt64, Tuple{Vararg{UInt64}}}() for s in values(PGN2UINT) magic, attack = magicSquareGen(s, rook, bits[s]) push!(magic_table, s=>magic) push!(attacks, s=>attack) end return magic_table, attacks end const ROOK_MAGICS, ROOK_X = magicTableGen(true) const BISHOP_MAGICS, BISHOP_X = magicTableGen(false) function getMagicAttack(square::UInt64, blockers::UInt64, rook::Bool) rook ? magic = ROOK_MAGICS[square] : magic = BISHOP_MAGICS[square] rook ? bits = ROOK_BITS[square] : bits = BISHOP_BITS[square] rook ? attacks = ROOK_X[square] : attacks = BISHOP_X[square] rook ? mask = ROOK_MASKS[square] : mask = BISHOP_MASKS[square] i = ((blockers&mask)*magic) >> (64-bits) return attacks[i+1] end
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2.198132
1,499
using NiLang, NiLang.AD using Test, Random using ForwardDiff using NiLangCore: default_constructor @testset "basic instructions, ULogarithmic" begin x, y = default_constructor(ULogarithmic{Int}, 1), default_constructor(ULogarithmic{Int}, 2) @instr x *= y @test x == default_constructor(ULogarithmic{Int}, 3) @test y == default_constructor(ULogarithmic{Int}, 2) @test PlusEq(gaussian_log)(1.0, 2.0) == (1.0+log(1+exp(2.0)), 2.0) x, y, z = default_constructor(ULogarithmic{Float64}, 7.0), default_constructor(ULogarithmic{Float64}, 2.0), default_constructor(ULogarithmic{Float64}, 3.0) @instr x *= y + z @test check_inv(MulEq(+), (x, y, z)) @test x.log ≈ log(exp(7.0) * (exp(2.0) + exp(3.0))) x, y, z = default_constructor(ULogarithmic{Float64}, 7.0), default_constructor(ULogarithmic{Float64}, 5.0), default_constructor(ULogarithmic{Float64}, 3.0) @instr x *= y - z @test x.log ≈ log(exp(7.0) * (exp(5.0) - exp(3.0))) x, y, z = default_constructor(ULogarithmic{Float64}, 7.0), default_constructor(ULogarithmic{Float64}, 5.0), default_constructor(ULogarithmic{Float64}, 3.0) @instr x *= y^3.4 @test x.log ≈ log(exp(5.0)^3.4 * exp(7.0)) x, y, z = default_constructor(ULogarithmic{Float64}, 7.0), default_constructor(ULogarithmic{Float64}, 5.0), default_constructor(ULogarithmic{Float64}, 3.0) @instr x *= 3 @test x.log ≈ log(exp(7.0) * 3) end @testset "error on += and -=" begin @i function f(x::ULogarithmic) x += ULogarithmic(3.0) end @test_throws MethodError f(ULogarithmic(2.0)) @test_throws MethodError (~f)(ULogarithmic(2.0)) end
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2.15748
762
using PiCamera using Test
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3.714286
7
##### End of file __precompile__(true) module RegistryTestingTools include("types.jl") include("functions.jl") end # end module RegistryTestingTools ##### End of file
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3.185185
54
__precompile__(true) module DataUtils # using Requires using DataFrames # import Feather import Base.convert import Base.serialize import Base.deserialize import Base.Dict include("utils.jl") include("tsutils.jl") include("dfutils.jl") include("dffilters.jl") # include("tokenize.jl") # include("dataframes_compat.jl") # include("featherwrap.jl") end # module DataUtils
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2.937984
129
@testset "SimpleGranularity" begin @test_throws ErrorException("Unknown type of simple granularity") SimpleGranularity("a") end @testset "DurationGranularity" begin @test_throws TypeError(:typeassert, "", String, 1) DurationGranularity(2, origin=1) end @testset "PeriodGranularity" begin @test_throws TypeError(:typeassert, "", String, 1) PeriodGranularity("a", origin=1) @test_throws TypeError(:typeassert, "", String, 1) PeriodGranularity("a", timezone=1) end
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2.857143
168
import Base.show export BinaryFileHeader, fh_byte2sample, show mutable struct BinaryFileHeader Job :: Int32 Line :: Int32 Reel :: Int32 DataTracePerEnsemble :: Int16 AuxiliaryTracePerEnsemble :: Int16 dt :: Int16 dtOrig :: Int16 ns :: Int16 nsOrig :: Int16 DataSampleFormat :: Int16 EnsembleFold :: Int16 TraceSorting :: Int16 VerticalSumCode :: Int16 SweepFrequencyStart :: Int16 SweepFrequencyEnd :: Int16 SweepLength :: Int16 SweepType :: Int16 SweepChannel :: Int16 SweepTaperlengthStart :: Int16 SweepTaperLengthEnd :: Int16 TaperType :: Int16 CorrelatedDataTraces :: Int16 BinaryGain :: Int16 AmplitudeRecoveryMethod :: Int16 MeasurementSystem :: Int16 ImpulseSignalPolarity :: Int16 VibratoryPolarityCode :: Int16 SegyFormatRevisionNumber :: Int16 FixedLengthTraceFlag :: Int16 NumberOfExtTextualHeaders :: Int16 end function BinaryFileHeader() BinaryFileHeader(0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0) end function fh_byte2sample() Dict{String, Int32}( "Job" => 3200, "Line" => 3204, "Reel" => 3208, "DataTracePerEnsemble" => 3212, "AuxiliaryTracePerEnsemble" => 3214, "dt" => 3216, "dtOrig" => 3218, "ns" => 3220, "nsOrig" => 3222, "DataSampleFormat" => 3224, "EnsembleFold" => 3226, "TraceSorting" => 3228, "VerticalSumCode" => 3230, "SweepFrequencyStart" => 3232, "SweepFrequencyEnd" => 3234, "SweepLength" => 3236, "SweepType" => 3238, "SweepChannel" => 3240, "SweepTaperlengthStart" => 3242, "SweepTaperLengthEnd" => 3244, "TaperType" => 3246, "CorrelatedDataTraces" => 3248, "BinaryGain" => 3250, "AmplitudeRecoveryMethod" => 3252, "MeasurementSystem" => 3254, "ImpulseSignalPolarity" => 3256, "VibratoryPolarityCode" => 3258, "SegyFormatRevisionNumber" => 3500, "FixedLengthTraceFlag" => 3502, "NumberOfExtTextualHeaders" => 3504) end function show(io::IO, bfh::BinaryFileHeader) println("BinaryFileHeader:") for field in fieldnames(BinaryFileHeader) s = @sprintf " %30s: %9d" String(field) getfield(bfh, field) println(s) end println("\n") end
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"""`duplicated(x)` returns whether `x` contains any duplicate values""" function duplicated(x::AbstractArray) xsort = sort(x) for i = 1:(length(xsort)-1) if xsort[i] == xsort[i+1] return true end end false end
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""" complement(g) Produces the [graph complement](https://en.wikipedia.org/wiki/Complement_graph) of a graph. """ function complement(g::Graph) gnv = nv(g) h = Graph(gnv) for i=1:gnv for j=i+1:gnv if !has_edge(g, i, j) add_edge!(h,i,j) end end end return h end function complement(g::DiGraph) gnv = nv(g) h = DiGraph(gnv) for i=1:gnv for j=1:gnv if i != j && !has_edge(g,i,j) add_edge!(h,i,j) end end end return h end """ reverse(g::DiGraph) Produces a graph where all edges are reversed from the original. """ function reverse(g::DiGraph) gnv = nv(g) gne = ne(g) h = DiGraph(gnv) h.fadjlist = deepcopy(g.badjlist) h.badjlist = deepcopy(g.fadjlist) h.ne = gne h.vertices = g.vertices return h end """ reverse!(g::DiGraph) In-place reverse (modifies the original graph). """ function reverse!(g::DiGraph) g.fadjlist, g.badjlist = g.badjlist, g.fadjlist return g end doc""" blkdiag(g, h) Produces a graph with $|V(g)| + |V(h)|$ vertices and $|E(g)| + |E(h)|$ edges. Put simply, the vertices and edges from graph `h` are appended to graph `g`. """ function blkdiag{T<:SimpleGraph}(g::T, h::T) gnv = nv(g) r = T(gnv + nv(h)) for e in edges(g) add_edge!(r, e) end for e in edges(h) add_edge!(r, gnv+src(e), gnv+dst(e)) end return r end """ intersect(g, h) Produces a graph with edges that are only in both graph `g` and graph `h`. Note that this function may produce a graph with 0-degree vertices. """ function intersect{T<:SimpleGraph}(g::T, h::T) gnv = nv(g) hnv = nv(h) r = T(min(gnv, hnv)) for e in intersect(edges(g),edges(h)) add_edge!(r,e) end return r end """ difference(g, h) Produces a graph with edges in graph `g` that are not in graph `h`. Note that this function may produce a graph with 0-degree vertices. """ function difference{T<:SimpleGraph}(g::T, h::T) gnv = nv(g) hnv = nv(h) r = T(gnv) for e in edges(g) !has_edge(h, e) && add_edge!(r,e) end return r end """ symmetric_difference(g, h) Produces a graph with edges from graph `g` that do not exist in graph `h`, and vice versa. Note that this function may produce a graph with 0-degree vertices. """ function symmetric_difference{T<:SimpleGraph}(g::T, h::T) gnv = nv(g) hnv = nv(h) r = T(max(gnv, hnv)) for e in edges(g) !has_edge(h, e) && add_edge!(r, e) end for e in edges(h) !has_edge(g, e) && add_edge!(r, e) end return r end """ union(g, h) Merges graphs `g` and `h` by taking the set union of all vertices and edges. """ function union{T<:SimpleGraph}(g::T, h::T) gnv = nv(g) hnv = nv(h) r = T(max(gnv, hnv)) r.ne = ne(g) for i = 1:gnv r.fadjlist[i] = deepcopy(g.fadjlist[i]) if is_directed(g) r.badjlist[i] = deepcopy(g.badjlist[i]) end end for e in edges(h) add_edge!(r, e) end return r end """ join(g, h) Merges graphs `g` and `h` using `blkdiag` and then adds all the edges between the vertices in `g` and those in `h`. """ function join(g::Graph, h::Graph) r = blkdiag(g, h) for i=1:nv(g) for j=nv(g)+1:nv(g)+nv(h) add_edge!(r, i, j) end end return r end """ crosspath(len::Integer, g::Graph) Replicate `len` times `h` and connect each vertex with its copies in a path """ crosspath(len::Integer, g::Graph) = cartesian_product(PathGraph(len), g) """ induced_subgraph(g, iter) Filters graph `g` to include only the vertices present in the iterable argument `vs`. Returns the subgraph of `g` induced by `vs`. """ function induced_subgraph{T<:SimpleGraph}(g::T, iter) n = length(iter) isequal(n, length(unique(iter))) || error("Vertices in subgraph list must be unique") isequal(n, nv(g)) && return copy(g) # if iter is not a proper subgraph h = T(n) newvid = Dict{Int, Int}() i=1 for (i,v) in enumerate(iter) newvid[v] = i end iterset = Set(iter) for s in iter for d in out_neighbors(g, s) # println("s = $s, d = $d") if d in iterset && has_edge(g, s, d) newe = Edge(newvid[s], newvid[d]) add_edge!(h, newe) end end end return h end # dispatch for g[[1,2,3]], g[1:3], g[Set([1,2,3])] # these are the only allowed dispatches, everything else is slow getindex(g::SimpleGraph, iter) = induced_subgraph(g, iter) # The following operators allow one to use a LightGraphs.Graph as a matrix in eigensolvers for spectral ranking and partitioning. # """Provides multiplication of a graph `g` by a vector `v` such that spectral # graph functions in [GraphMatrices.jl](https://github.com/jpfairbanks/GraphMatrices.jl) can utilize LightGraphs natively. # """ function *{T<:Real}(g::Graph, v::Vector{T}) length(v) == nv(g) || error("Vector size must equal number of vertices") y = zeros(T, nv(g)) for e in edges(g) i = src(e) j = dst(e) y[i] += v[j] y[j] += v[i] end return y end function *{T<:Real}(g::DiGraph, v::Vector{T}) length(v) == nv(g) || error("Vector size must equal number of vertices") y = zeros(T, nv(g)) for e in edges(g) i = src(e) j = dst(e) y[i] += v[j] end return y end """sum(g,i) provides 1:indegree or 2:outdegree vectors""" function sum(g::SimpleGraph, dim::Int) dim == 1 && return indegree(g, vertices(g)) dim == 2 && return outdegree(g, vertices(g)) error("Graphs are only two dimensional") end size(g::SimpleGraph) = (nv(g), nv(g)) """size(g,i) provides 1:nv or 2:nv else 1 """ size(g::Graph,dim::Int) = (dim == 1 || dim == 2)? nv(g) : 1 """sum(g) provides the number of edges in the graph""" sum(g::SimpleGraph) = ne(g) """sparse(g) is the adjacency_matrix of g""" sparse(g::SimpleGraph) = adjacency_matrix(g) #arrayfunctions = (:eltype, :length, :ndims, :size, :strides, :issymmetric) eltype(g::SimpleGraph) = Float64 length(g::SimpleGraph) = nv(g)*nv(g) ndims(g::SimpleGraph) = 2 issymmetric(g::SimpleGraph) = !is_directed(g) """ cartesian_product(g, h) Returns the (cartesian product)[https://en.wikipedia.org/wiki/Tensor_product_of_graphs] of `g` and `h` """ function cartesian_product{G<:SimpleGraph}(g::G, h::G) z = G(nv(g)*nv(h)) id(i, j) = (i-1)*nv(h) + j for (i1, i2) in edges(g) for j=1:nv(h) add_edge!(z, id(i1,j), id(i2,j)) end end for e in edges(h) j1, j2 = src(e), dst(e) for i=1:nv(g) add_edge!(z, id(i,j1), id(i,j2)) end end return z end """ tensor_product(g, h) Returns the (tensor product)[https://en.wikipedia.org/wiki/Tensor_product_of_graphs] of `g` and `h` """ function tensor_product{G<:SimpleGraph}(g::G, h::G) z = G(nv(g)*nv(h)) id(i, j) = (i-1)*nv(h) + j for (i1, i2) in edges(g) for (j1, j2) in edges(h) add_edge!(z, id(i1, j1), id(i2, j2)) end end return z end
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2.094591
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# Script to replicate table 3 (regression from equation 12) using DataFrames, FixedEffectModels, RegressionTables, StatsBase, Statistics, LinearAlgebra, XLSX, PrettyTables # -------------- Import data -------------------------------------------------------------------------------------------------------------------------------- # import data from local drive t_tab3 = DataFrame(XLSX.readtable("clean/t_tab2.xlsx", "Sheet1")...) # still a lot of NaN transform!(t_tab3, :country .=> ByRow(string) .=> :country, renamecols=false) # change type to String transform!(t_tab3, [:year, :sector] .=> ByRow(Int) .=> [:year, :sector], renamecols=false) # change type to Int64 transform!(t_tab3, [:FD_GO, :VA_GO, :U, :D] .=> ByRow(Float64) .=> [:FD_GO, :VA_GO, :U, :D], renamecols=false) # change type to Float64 # need to take out rows with NaN, considerably improves match with original numbers (too much correlation otherwise) data_reg = subset(t_tab3, :VA_GO => ByRow(x -> !isnan(x))) data_reg[:, :country_sector] .= data_reg[:, :country] .* "_" .* string.(data_reg[:, :sector]) # using seperate FE does not change anything? function reg_tab3(df::DataFrame, year::Int64, y, x) df = subset(df, :year => ByRow(x -> x == year)) rr_1 = FixedEffectModels.reg(df, term(y) ~ term(x), Vcov.cluster(:country_sector), save=true) rr_2 = FixedEffectModels.reg(df, term(y) ~ term(x) + fe(term(:country)), Vcov.cluster(:country_sector), save=true) rr_3 = FixedEffectModels.reg(df, term(y) ~ term(x) + fe(term(:country)) + fe(term(:sector)), Vcov.cluster(:country_sector), save=true) reg = RegressionTables.regtable(rr_1, rr_2, rr_3; renderSettings = asciiOutput(), regression_statistics=[:nobs, :r2], print_fe_section=true, estimformat="%0.4f") # output on the console return reg end # regression results in ascii format reg_tab3(data_reg, 1995, :FD_GO, :VA_GO) reg_tab3(data_reg, 2011, :FD_GO, :VA_GO) reg_tab3(data_reg, 1995, :U, :D) reg_tab3(data_reg, 2011, :U, :D)
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#cd("C:/Users/LabOpto/Documents/SmartGit Projects/src") # using Debug # using PyPlot using Gadfly using DataFrames include("../src/CDtypes.jl") include("../src/initializations.jl") include("../src/CDmainAlg.jl") include("../src/GetResult.jl") include("../src/GramMatrix.jl") include("../src/InnerProducts.jl") include("../src/Normalization.jl") include("../src/utils.jl") # get wind power data y=readtable("wind_power.csv", header=false) y = convert(Array , y[:,1]) y_original = copy(y) # frequencies f = 2*pi./collect(6:48) @time BCD, y_path, β_best, y_best, λ_best, γ_best = l1_adaptive_trend_filter( y, [1, 4, 5], numλ=200, numγ=5, f=f, verbose=true ) # components step = β_best[1] # spike = β_best[2] # slope = β_best[3] seno = β_best[4] cosseno = β_best[5] # plot (Gadfly) draw( SVG("step.svg", 14inch, 8inch), plot( x=1:length(step), y=step, Geom.point, Geom.line, Guide.xlabel("Hours"), Guide.ylabel("Step size"), Coord.Cartesian(xmin=0,xmax=length(y_original)) )) # draw( # SVG("/Users/mariosouto/Dropbox/SAM/L1_Adaptive_Trend_Filter/WindPower_CaseStudy/spike.svg", 14inch, 8inch), # plot(x=1:length(spike),y=spike, Geom.point, Geom.line, Guide.xlabel("Hours"))) # draw( # SVG("/Users/mariosouto/Dropbox/SAM/L1_Adaptive_Trend_Filter/WindPower_CaseStudy/slope.svg", 14inch, 8inch), # plot(x=1:length(slope),y=slope, Geom.point, Geom.line) # ) draw( SVG("trigonometric.svg", 7inch, 4.5inch), plot( layer(x=1:length(seno),y=seno, Geom.line, Theme(default_color=color("red"))), layer(x=1:length(cosseno), y=cosseno, Geom.line, Theme(default_color=color("blue"))), Guide.xlabel("frequency (ω)"), Guide.ylabel("Amplitude"), Guide.title("Trigonometric components"), Coord.Cartesian(xmin=0,xmax=length(f)) )) draw( SVG("fit.svg", 7inch, 4.5inch), plot( layer(x=1:length(y_original), y=y_original, Geom.line, Theme(default_color=color("red"))), layer(x=1:length(y_best), y=y_best, Geom.line, Theme(default_color=color("blue"))), Guide.xlabel("Hours"), Guide.ylabel("MW"), Guide.title("Wind Power Fit"), Coord.Cartesian(xmin=0,xmax=340) )) # write results writecsv("y_best.csv", y_best) writecsv("cos.csv", cosseno) writecsv("seno.csv", seno) writecsv("step.csv", step)
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#!/usr/bin/env julia module GeoSender using ZMQ using JSON function send_to_py(data) context = Context() data_sender = Socket(context, PUSH) ZMQ.connect(data_sender, "tcp://127.0.0.1:5556") to_send = JSON.json(data) ZMQ.send(data_sender, to_send) ZMQ.close(data_sender) ZMQ.close(context) end end
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module CommonFunctions export nbasis, nnodes, nodes, order, degree nbasis() = nothing nnodes() = nothing nodes() = nothing order() = nothing degree() = nothing export evaluate, evaluate! evaluate() = nothing evaluate!() = nothing export derivative, integral derivative() = nothing integral() = nothing export write_to_hdf5 write_to_hdf5() = nothing export get_solution, get_solution!, set_solution!, reset!, cut_periodic_solution! get_solution() = nothing get_solution!() = nothing set_solution!() = nothing reset!() = nothing cut_periodic_solution!() = nothing end
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abstract type AbstractDimensionalityReduction <: RegressionModel end """ projection(model::AbstractDimensionalityReduction) Return the projection matrix of the model. """ projection(model::AbstractDimensionalityReduction) = error("'projection' is not defined for $(typeof(model)).") """ reconstruct(model::AbstractDimensionalityReduction, y) Return the model response (a.k.a. the dependent variable). """ reconstruct(model::AbstractDimensionalityReduction, y) = error("'reconstruct' is not defined for $(typeof(model)).") abstract type LinearDimensionalityReduction <: AbstractDimensionalityReduction end """ loadings(model::LinearDimensionalityReduction) Return the model loadings (a.k.a. eigenvectors scaled up by the variances). """ loadings(model::LinearDimensionalityReduction) = error("'loadings' is not defined for $(typeof(model)).") abstract type NonlinearDimensionalityReduction <: AbstractDimensionalityReduction end abstract type LatentVariableDimensionalityReduction <: AbstractDimensionalityReduction end
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# Modified from: # <https://github.com/JuliaDocs/IOCapture.jl/blob/d8b27045cec8953e0e5a8d719ca1692b3a6d0d02/src/IOCapture.jl> using Logging import Random # pass a `cast` to write events to it "as they happen". # pass a `process` function to modify the event data before writing it. function capture(f, cast::Cast; rethrow::Type=Any, color::Bool=false, process=identity) # Original implementation from Documenter.jl (MIT license) # Save the default output streams. default_stdout = stdout default_stderr = stderr # Redirect both the `stdout` and `stderr` streams to a single `Pipe` object. pipe = Pipe() Base.link_pipe!(pipe; reader_supports_async = true, writer_supports_async = true) @static if VERSION >= v"1.6.0-DEV.481" # https://github.com/JuliaLang/julia/pull/36688 pe_stdout = IOContext(pipe.in, :color => get(stdout, :color, false) & color) pe_stderr = IOContext(pipe.in, :color => get(stderr, :color, false) & color) else pe_stdout = pipe.in pe_stderr = pipe.in end redirect_stdout(pe_stdout) redirect_stderr(pe_stderr) # Also redirect logging stream to the same pipe logger = ConsoleLogger(pe_stderr) old_rng = nothing if VERSION >= v"1.7.0-DEV.1226" # JuliaLang/julia#40546 # In Julia >= 1.7 each task has its own rng seed. This seed # is obtained by calling rand(...) in the current task which # modifies the random stream. We therefore copy the current seed # and reset it after creating the read/write task below. # See https://github.com/JuliaLang/julia/pull/41184 for more details. old_rng = copy(Random.default_rng()) end # Bytes written to the `pipe` are captured in `output` and eventually converted to a # `String`. We need to use an asynchronous task to continously tranfer bytes from the # pipe to `output` in order to avoid the buffer filling up and stalling write() calls in # user code. buffer_redirect_task = @async begin while isopen(pipe) write_event!(cast, OutputEvent, process(String(readavailable(pipe)))) end end if old_rng !== nothing copy!(Random.default_rng(), old_rng) end # Run the function `f`, capturing all output that it might have generated. # Success signals whether the function `f` did or did not throw an exception. result, success, backtrace = with_logger(logger) do try f(), true, Vector{Ptr{Cvoid}}() catch err err isa rethrow && Base.rethrow(err) # If we're capturing the error, we return the error object as the value. err, false, catch_backtrace() finally # Restore the original output streams. redirect_stdout(default_stdout) redirect_stderr(default_stderr) close(pe_stdout) close(pe_stderr) wait(buffer_redirect_task) end end ( value = result, error = !success, backtrace = backtrace, ) end
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module SpringCollab2020FlagToggleStarTrackSpinner using ..Ahorn, Maple @pardef FlagToggleStarTrackSpinner(x1::Integer, y1::Integer, x2::Integer=x1 + 16, y2::Integer=y1, speed::String="Normal", startCenter::Bool=false, flag::String="flag_toggle_star_track_spinner", inverted::Bool=false) = Entity("SpringCollab2020/FlagToggleStarTrackSpinner", x=x1, y=y1, nodes=Tuple{Int, Int}[(x2, y2)], speed=speed, startCenter=startCenter, flag=flag, inverted=inverted) const placements = Ahorn.PlacementDict( "Star (Track, $(uppercasefirst(speed)), Flag Toggle) (Spring Collab 2020)" => Ahorn.EntityPlacement( FlagToggleStarTrackSpinner, "line", Dict{String, Any}( "speed" => speed ) ) for speed in Maple.track_spinner_speeds ) Ahorn.editingOptions(entity::FlagToggleStarTrackSpinner) = Dict{String, Any}( "speed" => Maple.track_spinner_speeds ) Ahorn.nodeLimits(entity::FlagToggleStarTrackSpinner) = 1, 1 function Ahorn.selection(entity::FlagToggleStarTrackSpinner) startX, startY = Ahorn.position(entity) stopX, stopY = Int.(entity.data["nodes"][1]) return [Ahorn.Rectangle(startX - 8, startY - 8, 16, 16), Ahorn.Rectangle(stopX - 8, stopY - 8, 16, 16)] end function Ahorn.renderSelectedAbs(ctx::Ahorn.Cairo.CairoContext, entity::FlagToggleStarTrackSpinner, room::Maple.Room) startX, startY = Ahorn.position(entity) stopX, stopY = entity.data["nodes"][1] Ahorn.drawSprite(ctx, "danger/starfish13", stopX, stopY) Ahorn.drawArrow(ctx, startX, startY, stopX, stopY, Ahorn.colors.selection_selected_fc, headLength=10) end function Ahorn.renderAbs(ctx::Ahorn.Cairo.CairoContext, entity::FlagToggleStarTrackSpinner, room::Maple.Room) startX, startY = Ahorn.position(entity) Ahorn.drawSprite(ctx, "danger/starfish13", startX, startY) end end
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# --- # title: 980. Unique Paths III # id: problem980 # author: Tian Jun # date: 2020-10-31 # difficulty: Hard # categories: Backtracking, Depth-first Search # link: <https://leetcode.com/problems/unique-paths-iii/description/> # hidden: true # --- # # On a 2-dimensional `grid`, there are 4 types of squares: # # * `1` represents the starting square. There is exactly one starting square. # * `2` represents the ending square. There is exactly one ending square. # * `0` represents empty squares we can walk over. # * `-1` represents obstacles that we cannot walk over. # # Return the number of 4-directional walks from the starting square to the # ending square, that **walk over every non-obstacle square exactly once**. # # # # **Example 1:** # # # # Input: [[1,0,0,0],[0,0,0,0],[0,0,2,-1]] # Output: 2 # Explanation: We have the following two paths: # 1. (0,0),(0,1),(0,2),(0,3),(1,3),(1,2),(1,1),(1,0),(2,0),(2,1),(2,2) # 2. (0,0),(1,0),(2,0),(2,1),(1,1),(0,1),(0,2),(0,3),(1,3),(1,2),(2,2) # # **Example 2:** # # # # Input: [[1,0,0,0],[0,0,0,0],[0,0,0,2]] # Output: 4 # Explanation: We have the following four paths: # 1. (0,0),(0,1),(0,2),(0,3),(1,3),(1,2),(1,1),(1,0),(2,0),(2,1),(2,2),(2,3) # 2. (0,0),(0,1),(1,1),(1,0),(2,0),(2,1),(2,2),(1,2),(0,2),(0,3),(1,3),(2,3) # 3. (0,0),(1,0),(2,0),(2,1),(2,2),(1,2),(1,1),(0,1),(0,2),(0,3),(1,3),(2,3) # 4. (0,0),(1,0),(2,0),(2,1),(1,1),(0,1),(0,2),(0,3),(1,3),(1,2),(2,2),(2,3) # # **Example 3:** # # # # Input: [[0,1],[2,0]] # Output: 0 # Explanation: # There is no path that walks over every empty square exactly once. # Note that the starting and ending square can be anywhere in the grid. # # # # # **Note:** # # 1. `1 <= grid.length * grid[0].length <= 20` # # ## @lc code=start using LeetCode ## add your code here: ## @lc code=end
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using Test using Dorothy @DorothyAll() @testset "Models" begin @testset "Header" begin h1 = MolecularModelHeader() @test isempty(keys(h1)) @test_throws Exception h1.smurf = true h1.time = 10.0 @test h1.time == 10.0 @test get(h1, :time, nothing) == 10.0 @test length(keys(h1)) == 1 h1.time = 10 @test h1.time == 10.0 @test length(keys(h1)) == 1 @test_throws Exception h1.time = "ten dot zero" @test length(keys(h1)) == 1 delete!(h1, :time) @test isempty(keys(h1)) h1.title = "something" @test_throws Exception h1.title = nothing @test length(keys(h1)) == 1 h1.step = 5 @test_throws Exception h1.step = 2.5 @test length(keys(h1)) == 2 h1.lambda = 0.6 @test length(keys(h1)) == 3 h1.cell = OrthorhombicCell(25.0) @test dims(h1.cell) ≈ [25.0, 25.0, 25.0] @test_throws Exception h1.cell = zeros(3,4) h1.virial = zeros(3,3) h1.pressure = ones(3,3) show(IOBuffer(), h1) show(IOBuffer(), MIME"text/plain"(), h1) @test h1.lambda == h1[:lambda] @test !haskey(h1, :smurf) @test get(h1, :lambda, nothing) == 0.6 @test get(h1, :smurf, nothing) == nothing @test get(() -> nothing, h1, :smurf) == nothing delete!(h1, :time) @test get!(h1, :time, 5.0) == 5.0 @test h1.time == 5.0 delete!(h1, :lambda) @test get!(() -> 1.0, h1, :lambda) == 1.0 @test h1.lambda == 1.0 end @testset "MolecularModel" begin m1 = MolecularModel() m2 = MolecularModel(10) @test isempty(m1) @test length(m2) == 10 @test isempty(keys(m1)) @test isempty(keys(m2)) show(IOBuffer(), m2) show(IOBuffer(), MIME"text/plain"(), m2) @test firstindex(m2) == 1 @test lastindex(m2) == 10 @test collect(eachindex(m2)) == collect(1:10) @test_throws Exception m2.charges = fill("smurf", 10) m2.charges = fill(10.0, 10) @test m2.charges[1] == 10.0 @test m2[1].charge == 10.0 @test length(keys(m2)) == 1 @test_throws Exception m2.occupancies = fill("tapir", 10) m2.occupancies = fill(true, 10) @test_throws Exception m2.bfactors = fill(nothing, 10) m2.bfactors = fill(10, 10) @test length(keys(m2)) == 3 delete!(m2, :bfactors) @test length(keys(m2)) == 2 delete!(m2, :charges) delete!(m2, :occupancies) @test isempty(keys(m2)) m2.R = fill([0,0,0], 10) @test_throws Exception m2.R = fill(nothing, 10) m2.V = fill([0,0,0], 10) @test_throws Exception m2.V = fill(nothing, 10) m2.F = fill([0,0,0], 10) @test_throws Exception m2.F = fill(nothing, 10) @test_throws Exception m2.ids = fill(0, (10,3)) @test_throws Exception m2.ids = fill(nothing, 10) m2.ids = 1:10 @test_throws Exception m2.resids = fill(0, (10,3)) @test_throws Exception m2.resids = fill(nothing, 10) m2.resids = fill(1, 10) @test_throws Exception m2.names = fill(nothing, 10) m2.names = fill("cat", 10) @test_throws Exception m2.resnames = fill(nothing, 10) m2.resnames = fill("kitten", 10) @test_throws Exception m2.chainids = fill(nothing, 10) m2.chainids = fill("A", 10) @test_throws Exception m2.invalid = fill(nothing, 10) @test haskey(m2, :resnames) == true @test haskey(m2, :tapir) == false @test getkey(m2, :resnames, nothing) == :resnames @test getkey(m2, :tapir, nothing) == nothing @test get(m2, :resnames, nothing) == fill("kitten", 10) @test get(m2, :tapir, nothing) == nothing @test_throws Exception m2.tapir = fill("kitten", 10) @test get!(m2, :resnames, nothing) == fill("kitten", 10) @test get!(m2, :occupancies, fill(1.0, 10)) == fill(1.0, 10) get!(m2, :R, undef) end @testset "Particle" begin m1 = MolecularModel(10) for (i, p) in enumerate(m1) @test p.i == i end m1.R = fill([0,0,0], 10) m1.ids = 1:10 @test m1[1].R == [0.0, 0.0, 0.0] @test m1[2].id == 2 show(IOBuffer(), m1[3]) p1 = m1[4] @test length(keys(p1)) == 2 @test_throws Exception p1.name = "CA" @test haskey(p1, :id) == true @test haskey(p1, :tapir) == false @test getkey(p1, :id, nothing) == :id @test getkey(p1, :tapir, nothing) == nothing @test get(p1, :id, nothing) == 4 @test get(p1, :tapir, nothing) == nothing @test p1.id == 4 p1.id = 3 end @testset "Views" begin m1 = MolecularModel(10) v1 = view(m1, 1:5) @test parent(v1) == m1 @test parentindices(v1) == 1:5 m1.R = fill([0,0,0], 10) m1.ids = 1:10 @test v1.ids == 1:5 @test v1.R == fill([0,0,0], 5) fill!(v1.R, [1,1,1]) @test v1.R[1:5] == fill([1,1,1], 5) @test length(keys(v1)) == 2 @test_throws Exception v1.resids = 1:5 @test haskey(v1, :ids) == true @test haskey(v1, :tapir) == false @test getkey(v1, :ids, nothing) == :ids @test getkey(v1, :tapir, nothing) == nothing @test get(v1, :ids, nothing) == 1:5 @test get(v1, :tapir, nothing) == nothing end @testset "Collection" begin @testset "Copy" begin m1 = MolecularModel(20) m1.ids = 1:20 m1.header.title = "capybara" m2 = MolecularModel(m1) @test m2.header.title == "capybara" m3 = MolecularModel(view(m1, 6:10)) @test m3.ids == 6:10 @test m3.header.title == "capybara" end @testset "Delete" begin m1 = MolecularModel(10) m1.ids = 1:10 @test_throws Exception deleteat!(m, 11) m1.topology = [] pair!(m1.topology, (3, 4)) pair!(m1.topology, (5, 6)) deleteat!(m1, 3) @test pairs(m1.topology) == [(4,5)] @test m1.ids == [1:2..., 4:10...] deleteat!(m1, 3:5) @test isempty(pairs(m1.topology)) @test m1.ids == [1:2..., 7:10...] pair!(m1.topology, (1, 2)) empty!(m1) @test isempty(m1) @test isempty(pairs(m1.topology)) end @testset "Splice" begin m1 = MolecularModel(10) m1.ids = 1:10 m1.names = fill("A", 10) m2 = MolecularModel(10) m2.ids = 11:20 splice!(m1, 2:3) @test length(m1) == 8 @test m1.ids == [1, 4:10...] @test_throws Exception insert!(m1, 2, m2) m2.names = fill("B", 10) insert!(m1, 2, m2) @test length(m1) == 18 @test m1.ids == [1, 11:20..., 4:10...] m1.topology = [] pair!(m1.topology, (1, 2)) m2.topology = [] prepend!(m1, m2[1]) @test length(m1) == 19 @test ! ((1, 2) in m1.topology) @test (2, 3) in m1.topology pair!(m2.topology, (1, 2)) pair!(m2.topology, (2, 3)) append!(m1, view(m2, 1:5)) @test length(m1) == 24 @test (20, 21) in m1.topology @test (21, 22) in m1.topology end @testset "Resize" begin m1 = MolecularModel() resize!(m1, 10) m1.topology = [] pair!(m1.topology, (6, 7)) m1.ids = 1:10 resize!(m1, 20) @test length(m1) == 20 @test length(pairs(m1.topology)) == 1 @test m1.ids[5] == 5 resize!(m1, 5) @test length(m1) == 5 @test isempty(pairs(m1.topology)) end end end # @testset
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name = "Chemfiles" version = v"0.10.2" chemfiles_sha256 = "2e3b58167f25d561ab19ae06acdc02f26b5640bd6c85e0a5b10fedfec59f5285"
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1.893939
66
using BTCParser using Test using Ripemd using SHA using Base58 files = readdir(".") # use only files that are named test_*.jl and start with the newest filter!(x -> occursin(r"^test_.*\.jl$", x), files) sort!(files, by = x -> stat(x).mtime, rev = true) for f in files include(f) end
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2.722222
108
using JLD2, StaticNets, Utilities using PyCall; pygui(:qt); using PyPlot; pygui(true) N = 10# dgpType = "SIN" Nsample = 100 targetStatic = true T=250 save_fold = "./data/sdergm_estimates/" @load(save_fold*"FilterTestDynamicFixedSize_N_$(N)_Nsample_$(Nsample)_scaling_DGP_" * dgpType * "targetStatic_$(targetStatic)"* ".jld", dynFitDgp,dynDegsSam,estFitSS,indsTVnodes,storeGasPar,rmseSSandGas,filFitGas, degb, unifDeg) T = size(dynDegsSam.s)[2] for s=1:Nsample for t=1:T estFitSS.s[:,t,s] = StaticNets.identify(StaticNets.ErgmDirBin1(dynDegsSam.s[:,t,s]), estFitSS.s[:,t,s];idType = "firstZero" ) filFitGas.s[:,t,s] = StaticNets.identify(StaticNets.ErgmDirBin1(dynDegsSam.s[:,t,s]), filFitGas.s[:,t,s];idType = "firstZero" ) end rmseSSandGas.s[:,1,s] = sqrt.(meanSq((dynFitDgp - estFitSS.s[:,:,s]).^2,2)) rmseSSandGas.s[:,2,s] = sqrt.(meanSq((dynFitDgp - filFitGas.s[:,:,s]).^2,2)) end sum(estFitSS.s[1,:,:])==0 ? () : error() # AvgRMSE_SS_SD = (mean(rmseSSandGas.s[:,1,:]) , mean(rmseSSandGas.s[:,2,:])) # # @save(save_fold*"FilterTestDynamicFixedSize_N_$(N)_Nsample_$(Nsample)_scaling_DGP_" * dgpType * ".jld", # dynFitDgp,dynDegsSam.s,estFitSS.s,indsTVnodes,storeGasPar,rmseSSandGas.s,filFitGas.s, degb,unifDeg) # # close() figure(figsize=(9,7)) labSize = 26 tickSize = 20 legSize = 20 for n=1:Nsample parInd =8 #subplot(2,1,1); plot(1:T,filFitGas.s[ parInd,:,n],"r") plot(1:T,estFitSS.s[parInd,:,n],".b",markersize = 2) plot(1:T,dynFitDgp[parInd,:],"k",linewidth=5) #parInd = 17 # subplot(2,1,2);plot(1:T,filFitGas.s[ parInd,:,n],"r") # plot(1:T,estFitSS.s[parInd,:,n],".b") # plot(1:T,dynFitDgp[parInd,:],"k",linewidth=5) end legTex = [ "SD- Beta Model "; "Beta Model "; "DGP"] legend(legTex,fontsize = legSize,framealpha = 0.95) xlabel("Time",fontsize = labSize) ylabel("\$ \\overleftarrow{\\theta} \$",fontsize = labSize) xticks(fontsize = tickSize) yticks(fontsize = tickSize) ylim([-2.5,5.5]) #
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1.850537
1,211
using AbstractGPs using BlockDiagonals using ChainRulesCore using FillArrays using FiniteDifferences using LinearAlgebra using KernelFunctions using Random using StaticArrays using StructArrays using TemporalGPs using Test using Zygote using FiniteDifferences: rand_tangent using AbstractGPs: var using TemporalGPs: AbstractLGSSM, _filter, NoContext using Zygote: Context, _pullback include("test_util.jl") @testset "TemporalGPs.jl" begin println("util:") @testset "util" begin include(joinpath("util", "harmonise.jl")) include(joinpath("util", "scan.jl")) include(joinpath("util", "zygote_friendly_map.jl")) include(joinpath("util", "zygote_rules.jl")) include(joinpath("util", "gaussian.jl")) include(joinpath("util", "mul.jl")) include(joinpath("util", "regular_data.jl")) end println("models:") include(joinpath("models", "model_test_utils.jl")) include(joinpath("models", "test_model_test_utils.jl")) @testset "models" begin include(joinpath("models", "linear_gaussian_conditionals.jl")) include(joinpath("models", "gauss_markov_model.jl")) include(joinpath("models", "lgssm.jl")) include(joinpath("models", "missings.jl")) end println("gp:") @testset "gp" begin include(joinpath("gp", "lti_sde.jl")) include(joinpath("gp", "posterior_lti_sde.jl")) end println("space_time:") @testset "space_time" begin include(joinpath("space_time", "rectilinear_grid.jl")) include(joinpath("space_time", "regular_in_time.jl")) include(joinpath("space_time", "separable_kernel.jl")) include(joinpath("space_time", "to_gauss_markov.jl")) include(joinpath("space_time", "pseudo_point.jl")) end end
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2.493741
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function test_DAVIS_Conv(w; batchsize=32,saveImages=true) @time begin printlnFlush("Loading weights from $(w)") w = loadNetwork(w) colors = [Float32[0.0,0.0,0.0], Float32[1.0,1.0,1.0]] xtrain,ytrain,x,y = loadData_DAVIS() totalloss = totalcorrect = totalcount = imcounter = 0 batchCount = Int64(ceil(size(y,4)/batchsize)) for batch=1:batchCount printUpdate(@sprintf("Batch: %5d/%-5d",batch,batchCount)) #Calculate current indices startIndex = 1+(batch-1)*batchsize endIndex = min(batch*batchsize,size(y,4)) #Minibatch batchx = KnetArray(x[:,:,:,startIndex:endIndex]) batchy = y[:,:,:,startIndex:endIndex] #Accuracy ypred = Array(DAVIS_Conv(w,batchx)) totalloss += pixelwiseSoftloss(ypred,batchy) testAcc = pixelwiseAccuracy(ypred,batchy) totalcorrect += testAcc[1] totalcount += testAcc[2] #Image conversion if saveImages for im=1:size(ypred,4) savePrediction(ypred[:,:,:,im],colors,outputPath(@sprintf("DAVIS/Conv/%05d.png",imcounter))) imcounter += 1 end end end printlnFlush(@sprintf("Total Loss: %0.10f\tTotal Accuracy: %0.4f%%",totalloss/batchCount,totalcorrect/totalcount*100)) end end function test_DAVIS_LSTM(w; saveImages=true) @time begin printlnFlush("Loading weights from $(w)") @time w = loadNetwork(w) colors = [Float32[0.0,0.0,0.0], Float32[1.0,1.0,1.0]] totalloss = totalcorrect = totalcount = imcounter = 0 xtrain,ytrain,x,y = loadData_DAVIS() batchCount = size(y,4) h = KnetArray(zeros(Float32,28,28,512,1)) c = KnetArray(zeros(Float32,28,28,512,1)) for t=1:batchCount printUpdate(@sprintf("Time: %5d/%-5d",t,batchCount)) #Accuracy ypred = Array(DAVIS_LSTM(w,h,c,KnetArray(x[:,:,:,t:t]))) totalloss += pixelwiseSoftloss(ypred,y[:,:,:,t:t]) testAcc = pixelwiseAccuracy(ypred,y[:,:,:,t:t]) totalcorrect += testAcc[1] totalcount += testAcc[2] #Image conversion if saveImages savePrediction(ypred[:,:,:,1],colors,outputPath(@sprintf("DAVIS/LSTM/%05d.png",imcounter))) imcounter += 1 end end printlnFlush(@sprintf("Total Loss: %0.10f\tTotal Accuracy: %0.4f%%",totalloss/batchCount,totalcorrect/totalcount*100)) end end function run_DAVIS_Conv_test() test_DAVIS_Conv("DAVIS/Conv.jld"; batchsize=32,saveImages=true) end function run_DAVIS_LSTM_test() test_DAVIS_LSTM("DAVIS/LSTM.jld"; saveImages=true) end export run_DAVIS_Conv_test,run_DAVIS_LSTM_test
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using Test using st16SseqJuliaTools using Suppressor using DataStructures @testset "uc2jc" begin @testset "Case: C" begin tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n959\t959\n959\t959\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;AAAAA;AAAAA\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;AAAAA;AAAAA\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n959\t959\n959\t959\n" end @testset "Case: H" begin tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n975\t838\n975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=6629\t838\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975\t838\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;cacac;acaac\t838;acac;c;a;ca\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;cacac;acaac\t838;acac;c;a;ca\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975\t838\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=6629\t838\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n975\t838\n975\t838\n975\t838\n975\t838\n" end @testset "Case: MIXED" begin tmp_file, tmp_fo = mktemp() print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "975\t838\n959\t959\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n975\t838\n959\t959\n975\t838\n959\t959\n975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n959\t959\n959\t959\n959\t959\n975\t838\n975\t838\n975\t838\n975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n959\t959\n959\t959\n959\t959\n975\t838\n975\t838\n975\t838\n975\t838\n" tmp_file, tmp_fo = mktemp() print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "X\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "A\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "C\t0\t10115\t*\t*\t*\t*\t*\t959;size=10115\t*\n") print(tmp_fo, "G\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "S\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "A\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") print(tmp_fo, "A\t6\t240\t*\t*\t*\t*\t*\t952;size=5124\t*\n") print(tmp_fo, "H\t2\t240\t99.6\t+\t0\t0\t240M\t975;size=2856\t838;size=6629\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "959\t959\n959\t959\n959\t959\n959\t959\n975\t838\n975\t838\n975\t838\n" end @testset "Case: ANOMALY" begin tmp_file, tmp_fo = mktemp() close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "" tmp_file, tmp_fo = mktemp() print(tmp_fo, "aCACACACACACA\n") close(tmp_fo) output = @capture_out begin uc2jc(tmp_file) end @test output == "" tmp_file = "AAAAA" @test_throws SystemError uc2jc(tmp_file) end end @testset "mergejc" begin @testset "Case: MERGE" begin output = "" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14932\n14980\t14932\n13426\t14932\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14932\t14932\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '0' @test output == "4956\t14932\n14980\t14932\n13426\t14932\n" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14931\t14932\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '2' @test output == "4956\t14932\n" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14931\t14932\n14932\t14933\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '0' @test output == "4956\t14932\n14980\t14933\n13426\t14933\n" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14931\t14932\n14932\t14933\n14930\t14938\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '0' @test output == "4956\t14932\n14980\t14933\n13426\t14933\n" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n13450\t14955\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14931\t14932\n14932\t14933\n14930\t14938\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '1' @test output == "4956\t14932\n14980\t14933\n13426\t14933\n" end @testset "Case: ANOMALY" begin output = "" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '0' @test output == "" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n13450\t14955\n") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '4' @test output == "" tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "") close(tmp_fo1) tmp_file2, tmp_fo2 = mktemp() print(tmp_fo2, "14931\t14932\n") close(tmp_fo2) err = @capture_err begin output = @capture_out begin mergejc(tmp_file1, tmp_file2) end end @test split(err, "\n")[3][1] == '0' @test output == "" tmp_file1 = "NO_file" tmp_file2 = "NO_file2" @suppress_err begin @test_throws SystemError mergejc(tmp_file1, tmp_file2) end end end @testset "mark_proper_size_clusters" begin test_dict = OrderedDict{String,Array{String,1}}() test_dict["Clus1"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus2"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus3"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus4"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus5"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] true_dict = OrderedDict{String,Bool}("Clus1" => 0,"Clus2" => 0,"Clus3" => 0,"Clus4" => 0,"Clus5" => 0) @test mark_proper_size_clusters(test_dict, 0.5) == true_dict test_dict = OrderedDict{String,Array{String,1}}() test_dict["Clus1"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus2"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus3"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus4"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus5"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] true_dict = OrderedDict{String,Bool}("Clus1" => 1,"Clus2" => 1,"Clus3" => 1,"Clus4" => 1,"Clus5" => 1) @test mark_proper_size_clusters(test_dict, 0.1) == true_dict test_dict = OrderedDict{String,Array{String,1}}() test_dict["Clus1"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus2"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus3"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus4"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus5"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] true_dict = OrderedDict{String,Bool}("Clus1" => 1,"Clus2" => 1,"Clus3" => 1,"Clus4" => 1,"Clus5" => 1) @test mark_proper_size_clusters(test_dict, 0.2) == true_dict test_dict = OrderedDict{String,Array{String,1}}() test_dict["Clus1"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus2"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus3"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus4"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] test_dict["Clus5"] = ["ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB", "ABCDABCDAB"] true_dict = OrderedDict{String,Bool}("Clus1" => 1,"Clus2" => 0,"Clus3" => 1,"Clus4" => 0,"Clus5" => 1) @test mark_proper_size_clusters(test_dict, 0.2) == true_dict end @testset "read_jc_clusters" begin tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n13450\t14955\n") close(tmp_fo1) true_dict = OrderedDict("14932" => ["14980", "13426"],"14931" => ["4956"],"14955" => ["13450"]) @test read_jc_clusters(tmp_file1) == true_dict tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13426\t14932\n13450\t14955\n") close(tmp_fo1) true_dict = OrderedDict("14932" => ["14980", "13426"],"14931" => ["4956"],"14955" => ["13450"]) @test read_jc_clusters(tmp_file1) == true_dict tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n14980\t14932\n13450\t14955\n") close(tmp_fo1) true_dict = OrderedDict("14932" => ["14980"],"14931" => ["4956"],"14955" => ["13450"]) @test read_jc_clusters(tmp_file1) == true_dict tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n4957\t14931\n4958\t14931\n4959\t14931\n") close(tmp_fo1) true_dict = OrderedDict("14931" => ["4956", "4957", "4958", "4959"]) @test read_jc_clusters(tmp_file1) == true_dict tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14931\n4957\t14931\n4958\t14931\n4959\t14931\n4956\t14932\n4957\t14932\n4958\t14932\n") close(tmp_fo1) true_dict = OrderedDict("14931" => ["4956", "4957", "4958", "4959"], "14932" => ["4956", "4957", "4958"]) @test read_jc_clusters(tmp_file1) == true_dict tmp_file1, tmp_fo1 = mktemp() print(tmp_fo1, "4956\t14932\n4957\t14932\n4958\t14932\n4956\t14931\n4957\t14931\n4958\t14931\n4959\t14931\n") close(tmp_fo1) true_dict = OrderedDict("14931" => ["4956", "4957", "4958", "4959"], "14932" => ["4956", "4957", "4958"]) @test read_jc_clusters(tmp_file1) == true_dict end
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# module NonLazyScalar # import Base.Broadcast: broadcasted # import ExBroadcast.AbstractScalar # const Scalar = AbstractScalar{<:Number} # ## broadcasted expand # for op in (:+, :*, :&, :|, :xor, :min, :max, :kron) # @eval begin # @inline broadcasted(::typeof($op),x,y,z,args...) = # broadcasted($op, broadcasted($op,x,y), z, args...) # end # end # for op in (:muladd, :fma,) # @eval broadcasted(f::typeof($op), x::Scalar, y::Scalar, z::Scalar) = f(only(x),only(y),only(z)) # end # for op in ( # :+, :-, :*, :/, :\, :÷, :%, :^, :fld, :cld, :mod, # :&, :|, :⊻, :>>>, :>>, :<<, # :atan, :hypot, # :min, :max, # :binomial, :gcd, :lcm, # ) # @eval broadcasted(f::typeof($op), x::Scalar, y::Scalar) = f(only(x),only(y)) # end # for op in ( # :+, :-, :!, :inv, :~, # :sin ,:cos ,:tan ,:sind ,:cosd ,:tand ,:sinpi,:cospi, # :asin ,:acos ,:atan ,:asind,:acosd,:atand, # :sec ,:csc ,:cot ,:secd ,:cscd ,:cotd , # :asec ,:acsc ,:acot ,:asecd,:acscd,:acotd, # :sinh ,:cosh ,:tanh ,:sech ,:csch ,:coth , # :asinh,:acosh,:atanh,:asech,:acsch,:acoth, # :sinc,:cosc, # :deg2rad,:rad2deg, # :log,:log2,:log10,:log1p, # :exp,:exp2,:exp10,:ldexp,:expm1, # :round,:ceil,:floor,:trunc, # :abs,:abs2,:sign,:sqrt,:cbrt,:real,:imag,:conj,:angle,:cis, # :factorial,:big, # :identity # ) # @eval broadcasted(f::typeof($op), x::Scalar) = f(only(x)) # end # broadcasted(::Type{T}, x::Scalar) where {T} = T(only(x)) # end # using .NonLazyScalar
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using YAML, DataFrames, CSV, Plots using Statistics using Streamfall HERE = @__DIR__ DATA_PATH = joinpath(HERE, "../../test/data/hymod/") # Load and generate stream network network = YAML.load_file(joinpath(DATA_PATH, "hymod_network.yml")) sn = create_network("HyMod Network", network) # Load climate data date_format = "YYYY-mm-dd" obs_data = CSV.File(joinpath(DATA_PATH, "leaf_river_data.csv"), comment="#", dateformat=date_format) |> DataFrame hist_streamflow = obs_data[:, "leaf_river_outflow"] climate_data = obs_data[:, ["Date", "leaf_river_P", "leaf_river_ET"]] climate = Climate(climate_data, "_P", "_ET") # This will set node parameters to the optimal values found metric = (obs, sim) -> 1.0 - Streamfall.NNSE(obs, sim) calibrate!(sn, climate, hist_streamflow; metric=metric, MaxTime=90.0) # Save calibrated network spec to file Streamfall.save_network_spec(sn, "hymod_example_calibrated.yml") # Run the model as a single system run_basin!(sn, climate) # Get node nid, node = sn["leaf_river"] @info "Mean flow (ft^3/s)" mean(node.outflow) # Get performance and plot obs = hist_streamflow[:, "leaf_river_outflow"] @info "RMSE" Streamfall.RMSE(obs, node.outflow) @info "NSE" Streamfall.NSE(obs, node.outflow) plot(obs) plot!(node.outflow)
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handle("ping") do "pong" end handle("echo") do data data end handle("cd") do path cd(path) end handle("evalsimple") do code eval(parse(code)) end handle("exit") do exit() end handle("clear-workspace") do # has to be run by Main otherwise it throws an error eval(Main, :(workspace())) end
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using SparseArrays, LinearAlgebra, BenchmarkTools, MKL nobs = 200 nlat = 30 A = rand(nobs+nlat, nobs+nlat) F = zeros(nobs, nobs+nlat) for i = 1:nobs F[i, i] = 1.0 end @benchmark F*A pre = similar(F) @benchmark copyto!(pre, CartesianIndices(pre), A, CartesianIndices(pre))
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# Check of handedness @test CMBSim.rotationmatrix_normalized(CMBSim.qrotation_x(π/2)) * [0, 1, 0] ≈ [0, 0, 1] @test CMBSim.rotationmatrix_normalized(CMBSim.qrotation_y(π/2)) * [1, 0, 0] ≈ [0, 0, -1] @test CMBSim.rotationmatrix_normalized(CMBSim.qrotation_z(π/2)) * [1, 0, 0] ≈ [0, 1, 0] # Simple composition of rotations @test CMBSim.qrotation_x(π/3) * CMBSim.qrotation_x(π/3) ≈ CMBSim.qrotation_x(2π/3) @test CMBSim.qrotation_y(π/3) * CMBSim.qrotation_y(π/3) ≈ CMBSim.qrotation_y(2π/3) @test CMBSim.qrotation_z(π/3) * CMBSim.qrotation_z(π/3) ≈ CMBSim.qrotation_z(2π/3) # More complex compositions comp = CMBSim.qrotation_y(π/2) * CMBSim.qrotation_x(π/2) @test CMBSim.rotationmatrix_normalized(comp) * [0, 1, 0] ≈ [1, 0, 0] comp = CMBSim.qrotation_z(π/2) * CMBSim.qrotation_y(π/2) @test CMBSim.rotationmatrix_normalized(comp) * [0, 0, 1] ≈ [0, 1, 0]
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# ------- R 2 Julia Conversion --------------- #function saveModels(d::Dict,fname::String) # j = JSON.json([ d]) # open(fname,"w") do f # write(f,j) # end #end function expandM(di::Dict) d2=deepcopy(di) if d2[:modelName]==:occ d2[:dist] = Poisson() d2[:lnk] = LogLink() d2[:Buyer_Pos_P1_is1] = true end if d2[:modelName]==:dolocc d2[:dist] = Gamma() d2[:lnk] = LogLink() d2[:Buyer_Pos_P1_is1] = true end if d2[:modelName]==:pen d2[:dist] = Bernoulli() d2[:lnk] = LogitLink() d2[:Buyer_Pos_P1_is1] = false end return d2 end function readModels(fname::String) if isfile(fname) d=Dict() j = JSON.parsefile(fname)[1] #for (key, value) in dict for (k, v) in j d2=Dict() if Symbol(k)==:mocc d2[:dist] = Poisson() d2[:lnk] = LogLink() d2[:Buyer_Pos_P1_is1] = true end if Symbol(k)==:mdolocc d2[:dist] = Gamma() d2[:lnk] = LogLink() d2[:Buyer_Pos_P1_is1] = true end if Symbol(k)==:mpen d2[:dist] = Bernoulli() d2[:lnk] = LogitLink() d2[:Buyer_Pos_P1_is1] = false end if typeof(v) == Array{Any,1} d[Symbol(k)] = [Symbol(vx) for vx in v] else for (k1, v1) in v if typeof(v1) in [ Array{Any,1} ] v2=[Symbol(v1x) for v1x in v1] else v2=Symbol(v1) end d2[Symbol(k1)] = v2 end d[Symbol(k)] = d2 end end for (k,v) in d if k in [:idolocc, :ipen, :iocc] d[k] = expandM(v) end end return d else return "file not found!" end end read_dfx(root::String) = readtable(root*"/dfx.csv") save_dfx(root::String,dfx::DataFrame) = writetable(root*"/dfx.csv", dfx) read_modelsDict(root::String) = readModels(root*"/modelsDict.json") function save_modelsDict(root::String, d::Dict) j = JSON.json([d]) open(root*"/modelsDict.json","w") do f write(f,j) end end read_dfd(root::String) = readtable(root*"/dfd.csv",header=true); save_dfd(root::String,dfd::DataFrame) = writetable(root*"/dfd.csv", dfd) read_dfr(root::String) = readtable(root*"/scored.csv",header=true); save_dfr(root::String,dfr::DataFrame) = writetable(root*"/scored.csv", dfr) # ------- R 2 Julia Conversion - END --------------- #include("trd.jl") #function Base.lowercase(df::DataFrame) function lowercase!(df::DataFrame) for (i,v) in enumerate(names(df)) if v != Symbol(lowercase(string(v))) rename!(df,v,Symbol(lowercase(string(v)))) end end end function Base.lowercase(arr::Array{Symbol}) return Symbol[Symbol(lowercase(string(s))) for s in arr] end function Base.lowercase(arr::Array{String}) return String[lowercase(string(s)) for s in arr] end function Base.lowercase(arr::Array{String}) return String[lowercase(string(s)) for s in arr] end function Base.lowercase(s::Symbol) return Symbol(lowercase(string(s))) end function Base.lowercase(d::OrderedDict) vout=OrderedDict() for (k, v) in d vout[lowercase(k)] = typeof(v) in [Bool,Float64,Int64] ? v : lowercase(v) end return vout end function grep(v::String,vars::Array{Symbol}) #function grep(v::AbstractString) filter(x->ismatch(Regex("$(v)"), string(x)), vars) end filter(x->ismatch(Regex("$(v)"), string(x)), vars) end function grep1(v::String,vars::Array{Symbol}) #function grep(v::AbstractString) filter(x->ismatch(Regex("$(v)"), string(x)), vars) end lst = filter(x->ismatch(Regex("$(v)"), string(x)), vars) return length(lst)>0 ? lst[1] : nothing end function grep(varr::Array{String},vars::Array{Symbol}) arr_out=Symbol[] for v in varr res = filter(x->ismatch(Regex("$(v)"), string(x)), vars) arr_out = vcat(arr_out, res) end return arr_out end #function grep(varr::Array{String},vars::Array{Symbol}) return grep(convert(Array{String},varr),vars) end #grep(["M","pan"],names(df_in)) function df2dict(idf::DataFrame) dout=OrderedDict() for n in names(idf) dout[n] = idf[1,Symbol(n)] end return dout end function df2dict(row::DataFrameRow) dout=OrderedDict() for n in names(row) dout[n] = row[Symbol(n)] end return dout end """ app.cfg P2_Competitor = true pvalue_lvl = 0.20 excludedKeys = key1,key2,key3 exposed_flag_var = new_exposed_flag sigLevel = 0.2 random_demos = random_campaigns = dropvars = goop,snop scoring_vars = TotalModelsOnly=false """ function loadCFG(d::OrderedDict,fn::String) function cvt(v::String, t::DataType) if t in [Bool] return lowercase(v) =="true" ? true : lowercase(v) =="false" ? false : NA elseif t in [nothing] return NA elseif t in [Array{String,1}] #return AbstractString[string(x) split(v,",")] return String[string(x) for x in split(replace(v,"\"",""),",")] elseif t in [Array{Symbol,1}] return Symbol[Symbol(x) for x in split(replace(v,"\"",""),",")] elseif t in [Symbol] return Symbol(v) elseif t in [String] return string(v) elseif t in [Float64] return parse(Float64,v) else return "__ooops__ TYPE not found!" end end if isfile(fn) f = open(fn) for ln in eachline(f) ln=replace(ln,"\n","") sidx=search(ln,"=").start-1 eidx=search(ln,"=").stop+1 if sidx>0 k=strip(ln[1:sidx]) v=strip(ln[eidx:end]) if (length(k)>0) & (length(v)>0) println("LINE:: ~"*k*"~"*v*"~") #println("DEF:: ______ ",d[Symbol(k)]," ----> ",typeof(d[Symbol(k)]) ) newk=Symbol(k) dv=get(d,newk,nothing) if dv!=nothing newv = cvt(v,typeof(dv)) #println("IN:: ______ ",Symbol(k)," ----> ",ct, " ....... ", typeof(ct)) #println( d[Symbol(k)],"|",v," {",typeof(d[Symbol(k)]),"} -----> ",newk,"|",newv," {",typeof(newv),"}") d[newk] = newv else println(newk," in app.cfg, but not defaults") #d[newk] = v end else #println("CFG ERROR :: invalid length : "*"~"*k*"~"*v*"~",typeof(d[Symbol(k)])) end else if length(ln)>0 println("CFG ERROR :: invalid cfg parameter : ~",ln,"~") end end end close(f) else println("Using Default configuration") end return d end # Retype DataFrame Columns # Ensure/Convert DataFrame Column Types function retypeBools!(dfd::DataFrame,vars::Array{Symbol}=Symbol[]) if length(vars)==0 vars=names(dfd) end for c in vars if typeof(dfd[c]) in [DataArray{Any,1}, DataArray{String,1}] #DataArray{Bool,1} println(c," ~ ",typeof(dfd[c])) if typeof(dfd[c]) == DataArray{Any,1} if unique(map(x-> typeof(x),dfd[c])) == [Bool] println("Converting Col") dfd[c] = convert(Array{Bool}, dfd[c]) else println("Type = Any; but not Bool") end else if true in unique(isna(dfd[c])) println("String Col has NA's") else ul=convert(Array{String},unique(map(x -> lowercase(x), dfd[c] ))) if (length(setdiff(ul,["true","false"]))==0) & (length(intersect(ul,["true","false"]))>0) println("Mapping String Col") dfd[c]= map(x-> lowercase(x)=="true" ? true : false , dfd[c]) dfd[c] = convert(Array{Bool}, dfd[c]) else println("String col not Bool") end end end end end end
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using RayTracing using Documenter makedocs(; modules=[RayTracing], authors="Ramiro Vignolo <[email protected]>", repo="https://github.com/rvignolo/RayTracing.jl/blob/{commit}{path}#L{line}", sitename="RayTracing.jl", format=Documenter.HTML(; prettyurls=get(ENV, "CI", "false") == "true", assets=String[], ), pages=[ "Home" => "index.md", ], )
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# start with julia echoserver.jl using Sockets server = listen(8080) # 1 while true # 2 conn = accept(server) # 3 @async begin # 4 try # 5 while true line = readline(conn) # 6 println(line) if chomp(line) == "S" # 7 println("Stopping TCP server...") close(conn) exit(0) else write(conn, line) # 8 - here is the echo end end catch ex # 9 print("connection lost with error $ex") close(conn) end end # end coroutine block end close(conn)
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using Test; using AdalmPluto; @testset "libIIO/context.jl" begin # disable errors on null pointers toggleNoAssertions(true); # Need iiod running for those # C_iio_create_default_context @test_skip C_iio_create_default_context() != C_NULL; # C_iio_create_local_context @test_skip C_iio_create_local_context() != C_NULL; # C_iio_create_network_context @test_skip C_iio_create_network_context("127.0.0.1") != C_NULL; try global uri = AdalmPluto.scan("usb", 1, false); catch @error "Could not get a valid uri, skipping the remaining tests"; return; end # C_iio_create_context_from_uri @test (global context = C_iio_create_context_from_uri(uri)) != C_NULL; if context == C_NULL @error "Could not create a context, skipping the remaining tests"; return; end @testset "Context description" begin # C_iio_context_get_name @test C_iio_context_get_name(context) != ""; # C_iio_context_get_description @test C_iio_context_get_description(context) != ""; # C_iio_context_get_version ctx = C_iio_context_get_version(context) @test ctx[3] > 17 # @test (C_iio_context_get_version(context) == (0, 0, 17, "v0.17 ") || C_iio_context_get_version(context) == (0, 0, 18, "v0.18 ")); end @testset "Context devices" begin # C_iio_context_get_devices_count @test (global nb_devices = C_iio_context_get_devices_count(context)) > 0; if nb_devices < 1 @warn "Could not find devices in the context, skipping related tests"; else # C_iio_context_find_device @test C_iio_context_find_device(context, "dummy") == C_NULL; @test C_iio_context_find_device(context, "cf-ad9361-lpc") != C_NULL; # C_iio_context_get_device @test C_iio_context_get_device(context, UInt32(666)) == C_NULL; @test C_iio_context_get_device(context, UInt32(0)) != C_NULL; end end @testset "Context attrs" begin # C_iio_context_get_attrs_count @test (global nb_attrs = C_iio_context_get_attrs_count(context)) > 0 if nb_attrs < 1 @warn "Could not find context specific attributes, skipping related tests"; else # NOTE : Specific the radio used for the test, this test failing can be normal. # C_iio_context_get_attr flag1 = C_iio_context_get_attr(context, UInt32(0)) == (0, "hw_model", "Analog Devices PlutoSDR Rev.B (Z7010-AD9364)") flag2 = C_iio_context_get_attr(context, UInt32(0)) == (0, "hw_model", "Analog Devices PlutoSDR Rev.B (Z7010-AD9363A)") @test flag1 || flag2 # C_iio_context_get_attr_value flag1 = C_iio_context_get_attr_value(context, "hw_model") == (0, "hw_model", "Analog Devices PlutoSDR Rev.B (Z7010-AD9364)") flag3 = C_iio_context_get_attr_value(context, "hw_model") == ("Analog Devices PlutoSDR Rev.B (Z7010-AD9364)") @test flag1 || flag2 || flag3 end end # C_iio_context_set_timeout @test C_iio_context_set_timeout(context, UInt32(0)) == 0; @testset "Context xml & clone" begin # C_iio_context_get_xml @test (global xml = C_iio_context_get_xml(context)) != ""; # C_iio_context_destroy @test C_iio_context_destroy(context) === nothing; # C_iio_create_xml_context # C_iio_create_xml_context_mem @test (global context = C_iio_create_xml_context_mem(xml, UInt64(length(xml)))) != C_NULL; # C_iio_context_clone @test (global clone = C_iio_context_clone(context)) != C_NULL; C_iio_context_destroy(clone); end C_iio_context_destroy(context); end
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2.174485
1,748
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7.0082E-05 8.0353E-05 2.6718E-05 1.3669E-05 6.8111E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 7.2363E-05 4.7523E-05 0.0000E+00 0.0000E+00 4.7635E-05 0.0000E+00 2.3353E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.2467E-04 5.5346E-05 1.3979E-05 1.4273E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.4317E-05 1.3727E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.4489E-04 4.3329E-05 3.2871E-05 5.3386E-05 0.0000E+00 2.1558E-05 0.0000E+00 0.0000E+00 1.0455E-05 1.0703E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0751E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.3275E-04 1.1049E-04 3.6325E-05 1.8727E-05 0.0000E+00 1.0426E-05 0.0000E+00 0.0000E+00 5.4357E-05 3.7048E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.6363E-04 2.0138E-04 1.2172E-04 0.0000E+00 4.0575E-05 8.0450E-05 4.0588E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1632E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3274E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.4671E-04 1.3468E-04 1.3237E-04 2.2368E-05 2.1679E-05 0.0000E+00 2.2486E-05 0.0000E+00 0.0000E+00 2.2529E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0138E-06 0.0000E+00 0.0000E+00 0.0000E+00 5.6892E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 5.5261E-04 4.8735E-05 4.8831E-05 1.7054E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.2694E-05 1.4281E-04 0.0000E+00 2.4229E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9127E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1837E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 7.0073E-04 2.8731E-04 7.7561E-05 2.6358E-05 2.6058E-05 0.0000E+00 0.0000E+00 1.9707E-05 2.5109E-05 0.0000E+00 0.0000E+00 5.1874E-05 0.0000E+00 2.6186E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 8.9336E-04 2.7711E-04 1.1233E-04 2.8475E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1648E-05 1.4160E-04 2.7409E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9193E-06 0.0000E+00 0.0000E+00 0.0000E+00 6.9320E-06 7.1335E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.3392E-04 2.0910E-04 1.7893E-04 8.8598E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8082E-04 5.9974E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0256E-05 0.0000E+00 0.0000E+00 2.9545E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0541E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.2362E-03 3.2459E-04 1.6330E-04 1.2851E-04 6.4467E-05 9.4548E-05 3.3253E-05 0.0000E+00 1.9231E-04 3.3010E-05 3.2810E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7346E-05 6.4250E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3131E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2233E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.3201E-03 4.1363E-04 6.9536E-05 1.4009E-05 2.3968E-05 0.0000E+00 0.0000E+00 2.3864E-05 3.4078E-04 4.6089E-05 3.5680E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4757E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9521E-06 2.3798E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4721E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8475E-05 0.0000E+00 5.0600E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.2939E-03 4.6372E-04 2.0534E-04 2.2909E-04 5.1448E-05 1.0155E-04 5.1202E-05 2.5344E-05 5.4287E-04 1.2619E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2699E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6287E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0174E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0587E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.6619E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5304E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.9535E-03 5.8956E-04 2.4895E-04 8.4454E-05 8.1742E-05 2.1165E-05 0.0000E+00 0.0000E+00 1.0692E-03 1.3749E-04 0.0000E+00 2.7323E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7443E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2741E-04 2.8273E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8561E-05 0.0000E+00 1.1234E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5193E-05 1.8549E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1367E-05 0.0000E+00 7.1923E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.9330E-03 3.3233E-04 5.6173E-04 1.4839E-04 6.1837E-05 6.0708E-05 9.0789E-05 0.0000E+00 1.3865E-03 5.8438E-04 0.0000E+00 2.9205E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7951E-04 6.0841E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2122E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6536E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6975E-06 0.0000E+00 0.0000E+00 3.7103E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2179E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 8.2307E-03 1.2848E-03 2.9651E-04 1.4640E-04 0.0000E+00 1.2137E-04 0.0000E+00 0.0000E+00 8.5385E-04 5.6082E-04 7.3707E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9423E-05 3.7931E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8397E-05 1.0758E-04 0.0000E+00 2.4228E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8604E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2163E-05 0.0000E+00 6.3544E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0120E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4267E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0104E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0430E-02 2.1060E-03 2.3686E-04 1.5412E-04 2.1581E-05 0.0000E+00 2.2125E-05 4.3111E-05 4.7780E-04 8.2617E-04 6.7532E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7456E-05 6.5858E-05 0.0000E+00 2.4657E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3763E-05 1.1512E-04 4.4068E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2570E-05 4.2437E-05 5.6050E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7851E-05 2.4589E-05 1.7744E-05 9.1092E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3366E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3537E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 9.1558E-03 3.7807E-03 7.0458E-04 2.3544E-04 1.5283E-04 7.9069E-05 0.0000E+00 3.7899E-05 5.0854E-04 1.0532E-03 3.8675E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.6805E-05 0.0000E+00 3.9765E-05 1.7305E-04 1.1783E-04 7.5789E-05 7.8073E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8861E-05 2.5736E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6234E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5581E-05 7.6999E-05 1.6037E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5871E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 7.3283E-03 5.3233E-03 4.7841E-04 2.9193E-04 2.8050E-04 3.3115E-05 0.0000E+00 4.1591E-05 1.7800E-04 1.1135E-03 2.9243E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4394E-05 1.2584E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1064E-05 6.1416E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5179E-05 1.6569E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7775E-05 8.3757E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6824E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3920E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 5.8160E-03 8.0012E-03 9.9218E-04 1.6164E-04 1.4094E-04 1.0313E-04 0.0000E+00 5.5084E-05 1.5985E-04 4.7213E-04 4.7066E-04 5.2180E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5944E-04 1.5726E-04 0.0000E+00 0.0000E+00 3.7692E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.5702E-05 1.9858E-04 2.1078E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3733E-05 2.0944E-05 0.0000E+00 1.3869E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3915E-05 6.0934E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2597E-05 2.0695E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3362E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.6790E-03 9.9247E-03 8.8877E-04 4.8936E-04 5.6363E-05 5.6538E-05 0.0000E+00 0.0000E+00 1.6583E-04 7.0341E-04 1.0812E-04 5.5521E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6501E-04 1.3948E-04 2.1718E-04 5.5644E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6643E-04 2.1297E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2062E-05 3.6709E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3796E-05 3.6191E-05 0.0000E+00 1.4097E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1644E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.2377E-03 7.1896E-03 5.7974E-04 5.3558E-04 2.5491E-04 9.5115E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.7531E-04 1.1189E-03 4.9459E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0370E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1971E-05 1.9421E-04 0.0000E+00 6.7617E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9294E-05 1.2518E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2305E-05 4.3000E-05 6.3800E-05 1.2068E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2404E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0265E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.4259E-03 9.2088E-03 3.0590E-03 3.0898E-04 5.2181E-05 0.0000E+00 5.1361E-05 0.0000E+00 0.0000E+00 6.1027E-04 1.1772E-03 1.0239E-04 0.0000E+00 1.0359E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0150E-04 0.0000E+00 3.6119E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0093E-04 1.1536E-04 1.3138E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3145E-05 2.0476E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0236E-05 2.0710E-05 0.0000E+00 1.3045E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6398E-05 1.3074E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3204E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0503E-03 7.0364E-03 2.4871E-03 6.9025E-04 2.1640E-04 5.2735E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.6724E-04 1.2355E-03 5.5115E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4154E-05 1.0622E-04 0.0000E+00 5.4850E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2413E-05 6.8899E-05 0.0000E+00 0.0000E+00 1.3142E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3382E-05 1.3830E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4796E-05 0.0000E+00 3.4974E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3891E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2310E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5721E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.9866E-04 6.3513E-03 2.8603E-03 8.5629E-04 2.3008E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.1454E-04 2.8199E-04 1.1366E-03 1.1426E-04 1.1016E-04 1.1368E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1059E-04 1.6947E-04 1.6984E-04 0.0000E+00 1.7186E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2309E-04 1.2894E-04 1.1368E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4614E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4357E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4702E-05 2.2668E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3667E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7428E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.7864E-04 3.8732E-03 4.7677E-03 8.3306E-04 3.6117E-04 2.4448E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.7975E-04 1.2958E-03 1.7804E-04 3.0025E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1885E-04 2.3778E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3766E-05 8.3661E-05 1.2215E-04 1.5861E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4819E-05 1.2349E-04 8.8736E-05 1.4914E-05 0.0000E+00 2.3931E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.4455E-05 3.5412E-05 2.4236E-05 1.5514E-05 2.4190E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5531E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4732E-05 1.5525E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.7272E-04 3.5290E-03 8.1296E-03 6.8978E-04 1.5300E-04 3.9013E-05 7.7982E-05 3.8648E-05 1.5454E-05 1.8890E-04 6.8101E-04 4.7804E-04 1.5432E-04 7.7632E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8622E-05 7.6393E-05 7.7033E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1956E-06 2.5137E-04 0.0000E+00 0.0000E+00 7.4565E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.4927E-05 0.0000E+00 2.4725E-05 0.0000E+00 1.5678E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5725E-05 1.5164E-05 0.0000E+00 9.9601E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5573E-05 1.5886E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5185E-05 1.5323E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7926E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.4902E-05 1.6504E-03 6.6215E-03 2.1083E-03 1.8824E-04 2.4061E-04 2.4257E-04 3.5451E-05 0.0000E+00 3.4028E-05 9.0759E-04 1.3245E-03 6.6262E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3156E-05 0.0000E+00 3.3953E-05 1.0404E-04 3.3955E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2991E-05 0.0000E+00 0.0000E+00 8.9045E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3988E-05 5.4475E-05 3.9965E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2735E-05 3.6750E-05 1.4009E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3617E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0326E-06 8.8987E-06 1.7759E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8343E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 5.0113E-04 4.6291E-03 5.1569E-03 5.6785E-04 3.0365E-04 2.0083E-04 2.8340E-05 0.0000E+00 0.0000E+00 2.0118E-04 9.5291E-04 3.2030E-04 3.3978E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.2775E-05 0.0000E+00 3.3330E-05 2.8441E-04 9.2759E-05 1.7105E-05 1.6992E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.2550E-06 4.9734E-05 1.0724E-04 2.0168E-05 6.9978E-06 0.0000E+00 0.0000E+00 0.0000E+00 4.2155E-06 4.1838E-06 4.9117E-05 1.5342E-05 2.2172E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8062E-05 4.3172E-06 1.8150E-05 3.7681E-05 2.9336E-05 6.8528E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9806E-06 0.0000E+00 4.3183E-06 1.9955E-05 6.8913E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4205E-06 0.0000E+00 7.8999E-06 4.2998E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0776E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 1.5805E-04 1.3709E-03 7.3127E-03 1.2028E-03 6.7308E-04 1.0508E-04 1.0670E-04 0.0000E+00 0.0000E+00 1.0528E-04 5.0909E-04 8.8752E-04 1.2445E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.7442E-05 0.0000E+00 0.0000E+00 1.6957E-04 1.6249E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1197E-05 0.0000E+00 2.0820E-05 1.0183E-04 1.3153E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0554E-06 0.0000E+00 1.0591E-05 4.6851E-05 6.6899E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1852E-05 0.0000E+00 2.4747E-05 2.5098E-05 1.7744E-05 1.0973E-05 2.2064E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.1176E-05 0.0000E+00 0.0000E+00 2.4703E-05 1.1012E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7856E-05 6.7552E-06 6.8752E-06 1.0818E-05 1.1127E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0995E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0436E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1045E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 2.3973E-04 4.9536E-03 4.0184E-03 8.7238E-04 4.5534E-04 2.9825E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.6361E-04 8.7460E-04 3.9235E-04 6.1148E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0540E-05 1.5212E-04 2.9963E-05 1.2238E-04 3.0613E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0120E-05 9.9993E-05 1.9600E-05 0.0000E+00 0.0000E+00 2.9819E-05 0.0000E+00 7.7271E-06 1.2702E-05 1.2438E-05 6.9681E-05 2.7673E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4277E-06 0.0000E+00 1.2545E-05 0.0000E+00 3.2523E-05 2.0274E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2497E-05 4.5543E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6646E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5451E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3339E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.1180E-07 0.0000E+00 3.2601E-04 3.4312E-03 5.3677E-03 1.9611E-03 3.7585E-04 2.0531E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1535E-04 7.8446E-04 6.6748E-05 3.4731E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.3822E-05 0.0000E+00 2.5909E-05 1.6905E-04 3.4147E-05 0.0000E+00 0.0000E+00 1.3957E-05 0.0000E+00 0.0000E+00 1.6840E-04 8.2065E-05 1.0439E-04 6.7013E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8678E-05 5.3170E-05 2.2486E-05 1.4056E-05 0.0000E+00 0.0000E+00 1.3872E-05 3.6079E-05 0.0000E+00 1.3606E-05 8.6622E-06 8.1219E-05 4.4050E-05 1.3898E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3494E-05 0.0000E+00 8.5146E-06 1.7704E-05 1.4084E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4112E-05 0.0000E+00 2.2292E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8087E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6094E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 7.3443E-05 0.0000E+00 8.8598E-04 5.1119E-03 2.4929E-03 4.4454E-04 2.2188E-04 3.8086E-05 0.0000E+00 0.0000E+00 1.4272E-04 7.0236E-04 9.0734E-04 1.1257E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3090E-04 1.4973E-04 3.7750E-05 0.0000E+00 0.0000E+00 1.5228E-05 0.0000E+00 3.7372E-05 9.5312E-05 1.9058E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.6426E-06 0.0000E+00 9.5537E-06 1.7311E-05 4.3672E-05 1.9110E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.9648E-05 0.0000E+00 0.0000E+00 1.4635E-05 9.5996E-06 2.4181E-05 0.0000E+00 1.4886E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5372E-05 1.5381E-05 1.5247E-05 2.4927E-05 9.4001E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5842E-06 0.0000E+00 0.0000E+00 0.0000E+00 2.4158E-05 4.0054E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5634E-06 1.5289E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5421E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4395E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.7058E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3671E-05 2.5948E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3673E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 2.0978E-04 4.3806E-03 5.1146E-03 7.4995E-04 5.9407E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6743E-04 1.1498E-03 4.1257E-04 1.2708E-04 3.1663E-05 0.0000E+00 4.2438E-05 0.0000E+00 0.0000E+00 8.2062E-05 1.4765E-04 8.4065E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0617E-05 0.0000E+00 3.4126E-05 1.6573E-05 0.0000E+00 0.0000E+00 1.0504E-05 0.0000E+00 0.0000E+00 3.3058E-05 5.0554E-05 2.7751E-05 5.1175E-05 0.0000E+00 0.0000E+00 1.0653E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0528E-05 6.1913E-05 1.7293E-05 1.7166E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0669E-05 2.1541E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7675E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7394E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.7111E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.5084E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0721E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7418E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3267E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 1.3316E-04 2.0612E-04 2.0610E-03 5.5592E-03 1.1968E-03 9.4084E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4705E-05 8.0556E-04 2.6835E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8869E-04 2.2243E-04 4.5598E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1108E-05 1.0023E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3041E-05 7.0952E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1666E-05 0.0000E+00 5.8961E-05 4.8617E-05 1.1479E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8820E-05 0.0000E+00 1.1207E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8820E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1610E-05 0.0000E+00 1.1623E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3840E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6381E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 1.4406E-04 9.0651E-04 4.7793E-03 2.4614E-03 4.5695E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0078E-05 6.7564E-04 1.0950E-03 2.3916E-04 4.8209E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3601E-05 1.9128E-04 4.8717E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2378E-05 0.0000E+00 1.0742E-04 4.7739E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9980E-05 0.0000E+00 3.8240E-05 0.0000E+00 0.0000E+00 4.4689E-05 7.1633E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1298E-05 5.1112E-05 0.0000E+00 0.0000E+00 3.2640E-05 1.2765E-05 0.0000E+00 0.0000E+00 3.2041E-05 0.0000E+00 3.8155E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9889E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2591E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9506E-05 1.2300E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2399E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1720E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 1.0502E-04 4.2603E-04 3.6270E-03 3.2123E-03 1.2168E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1034E-04 9.9671E-04 3.2419E-04 1.0442E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0680E-04 1.0596E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7952E-05 6.9002E-05 5.3487E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0438E-05 0.0000E+00 2.1825E-05 2.7694E-05 0.0000E+00 0.0000E+00 8.7264E-05 0.0000E+00 0.0000E+00 2.1293E-05 0.0000E+00 4.2965E-05 2.8177E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.1149E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4000E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2585E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5228E-06 9.8561E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1702E-06 3.3905E-07 ; 0.0000E+00 0.0000E+00 0.0000E+00 5.8281E-05 0.0000E+00 2.5434E-03 4.6186E-03 1.5584E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1319E-04 1.0776E-03 5.6977E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1984E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6559E-05 0.0000E+00 2.2243E-05 1.1167E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5395E-05 3.8240E-05 0.0000E+00 0.0000E+00 1.4894E-05 1.4857E-05 0.0000E+00 0.0000E+00 1.4226E-05 1.4972E-05 3.5846E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.5112E-05 2.3369E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3302E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4634E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4577E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5140E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9575E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9406E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0691E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3750E-05 2.1109E-03 4.9613E-03 2.7884E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3556E-05 0.0000E+00 3.1269E-04 9.0871E-04 3.4215E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2021E-04 0.0000E+00 0.0000E+00 1.8691E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2190E-04 9.4940E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6120E-05 0.0000E+00 0.0000E+00 2.5305E-05 0.0000E+00 2.6252E-05 0.0000E+00 0.0000E+00 2.5676E-05 1.6010E-05 4.1303E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.6107E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.2071E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6200E-05 2.6268E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2018E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2178E-03 4.2282E-03 3.7222E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7211E-04 2.0251E-04 6.8161E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6709E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.3318E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7226E-05 0.0000E+00 1.2141E-04 1.7197E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7310E-05 0.0000E+00 1.7175E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6648E-05 4.5656E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7202E-05 0.0000E+00 3.0903E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8279E-05 2.8152E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5149E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1907E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 3.8116E-05 0.0000E+00 0.0000E+00 2.0365E-04 2.8194E-03 5.4172E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4738E-04 3.6401E-04 8.9908E-04 5.2112E-04 7.6301E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6556E-04 0.0000E+00 1.2038E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4755E-05 3.8372E-05 1.0736E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0587E-06 0.0000E+00 9.6122E-06 9.3397E-06 0.0000E+00 1.5273E-05 3.0183E-05 0.0000E+00 9.3805E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2267E-05 0.0000E+00 0.0000E+00 5.3290E-06 0.0000E+00 0.0000E+00 0.0000E+00 1.4605E-05 0.0000E+00 1.5178E-05 0.0000E+00 0.0000E+00 1.9230E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.5537E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4902E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3465E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1769E-06 1.4269E-06 2.4191E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1431E-06 7.1225E-07 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2043E-04 7.9885E-04 6.7885E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4204E-05 0.0000E+00 4.8471E-04 8.3156E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7506E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3701E-05 0.0000E+00 3.6128E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4008E-05 2.8584E-05 5.3946E-05 0.0000E+00 1.0899E-05 0.0000E+00 0.0000E+00 1.0884E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1142E-05 1.7983E-05 1.8402E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.7692E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.8068E-05 3.6102E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1247E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7578E-06 0.0000E+00 8.3687E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1236E-06 1.7027E-06 8.5042E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6831E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0269E-04 6.7876E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0076E-04 8.1119E-04 0.0000E+00 0.0000E+00 1.5675E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9756E-05 2.0429E-05 3.4551E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1071E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1557E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2680E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2874E-05 1.2822E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2032E-06 1.9437E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1122E-05 1.7567E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7621E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7977E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1914E-04 6.6501E-03 0.0000E+00 1.5026E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7551E-04 1.1009E-03 1.5388E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1546E-04 1.1313E-04 1.5127E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2816E-05 0.0000E+00 0.0000E+00 3.7586E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5258E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3855E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3403E-06 4.3462E-06 0.0000E+00 0.0000E+00 2.0045E-06 2.0001E-06 0.0000E+00 0.0000E+00 5.9115E-06 0.0000E+00 1.9373E-06 1.9246E-06 5.3888E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6176E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1791E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4844E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9828E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5844E-06 7.7920E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6608E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2505E-05 0.0000E+00 1.2221E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2619E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1213E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6372E-05 1.2735E-05 3.1676E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6485E-06 1.2685E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7806E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5549E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2471E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5040E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0481E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2478E-06 1.0180E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0356E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9519E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8957E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5584E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6030E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4805E-05 5.5942E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6040E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2346E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9611E-07 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3125E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3394E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5051E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3223E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5045E-05 4.0051E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8794E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1466E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 4.6852E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.1365E-03 4.6714E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4171E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5432E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0645E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2970E-06 1.2587E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1908E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4423E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2980E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.8546E-05 3.7245E-05 4.8195E-05 1.7416E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0132E-04 1.6812E-05 0.0000E+00 9.8535E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0667E-03 3.0897E-04 3.3562E-04 2.1861E-04 1.3092E-04 9.0081E-05 0.0000E+00 0.0000E+00 1.4626E-04 1.4678E-04 8.7006E-05 0.0000E+00 1.4660E-04 2.8419E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0208E-03 6.0188E-04 3.2212E-04 3.5859E-04 7.3380E-05 4.8000E-05 0.0000E+00 0.0000E+00 3.3415E-04 3.8426E-04 0.0000E+00 0.0000E+00 7.0195E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2834E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.3450E-03 7.1644E-04 0.0000E+00 2.6200E-04 2.1337E-04 8.4796E-05 4.2741E-05 0.0000E+00 6.3091E-04 4.6631E-04 4.3847E-05 8.5366E-05 0.0000E+00 0.0000E+00 4.2584E-05 0.0000E+00 0.0000E+00 4.1813E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.1479E-03 6.7470E-04 4.4027E-04 5.8313E-04 2.4222E-04 0.0000E+00 2.4399E-04 0.0000E+00 4.9450E-04 1.9324E-04 9.7502E-05 5.0100E-05 9.7618E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.4225E-03 1.0430E-03 3.2148E-04 3.1305E-04 2.1994E-04 9.5221E-05 0.0000E+00 5.6443E-05 8.7448E-04 2.9403E-04 1.3195E-04 3.6280E-05 1.4702E-04 3.6916E-05 0.0000E+00 7.3449E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6655E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.0409E-03 1.8622E-03 8.0966E-04 2.5126E-04 1.8810E-04 1.2467E-04 6.0427E-05 3.1087E-04 8.5743E-04 9.3444E-04 6.0355E-05 0.0000E+00 6.1747E-05 0.0000E+00 1.2457E-04 0.0000E+00 1.2305E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2141E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.2469E-03 1.3096E-03 1.4538E-03 9.5056E-04 4.3495E-04 2.0915E-04 1.3578E-04 1.3768E-04 1.9328E-03 4.8050E-04 4.0057E-04 0.0000E+00 6.9376E-05 6.9588E-05 2.7670E-04 0.0000E+00 6.8479E-05 6.9354E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.7514E-03 2.9757E-03 8.8418E-04 4.3787E-04 6.0692E-04 3.0122E-04 0.0000E+00 5.2859E-04 1.9481E-03 9.6330E-04 7.6904E-05 2.2804E-04 7.8498E-05 7.8250E-05 0.0000E+00 0.0000E+00 7.7380E-05 1.4483E-04 0.0000E+00 7.7256E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 8.5951E-03 3.3108E-03 1.9080E-03 3.1923E-04 8.3965E-04 2.4012E-04 0.0000E+00 2.6754E-04 4.0532E-03 7.9137E-04 2.3303E-04 3.1862E-04 7.8318E-05 1.5941E-04 0.0000E+00 0.0000E+00 6.2793E-05 2.3632E-04 1.6033E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.2879E-02 3.6947E-03 8.6946E-04 8.8290E-04 5.2738E-04 1.8492E-04 0.0000E+00 6.1789E-04 6.2972E-03 1.1394E-03 4.3258E-04 2.6214E-04 0.0000E+00 0.0000E+00 8.8226E-05 8.6175E-05 0.0000E+00 2.6236E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0777E-02 3.6662E-03 1.1300E-03 1.2082E-03 5.6593E-04 1.8561E-04 9.3206E-05 1.4391E-04 4.9360E-03 1.2209E-03 5.6070E-04 9.6084E-05 0.0000E+00 0.0000E+00 1.8579E-04 0.0000E+00 0.0000E+00 9.5300E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9430E-05 0.0000E+00 0.0000E+00 2.4311E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.6361E-02 5.1156E-03 1.7803E-03 1.1242E-03 5.0222E-04 1.0053E-04 7.1134E-04 8.2240E-04 7.7546E-03 1.4929E-03 6.9532E-04 9.6092E-05 1.0002E-04 0.0000E+00 9.7456E-05 0.0000E+00 0.0000E+00 3.8765E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5517E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.0726E-02 6.5215E-03 1.4436E-03 5.5840E-04 2.0853E-04 2.1416E-04 0.0000E+00 2.1549E-04 1.6351E-02 2.1144E-03 6.5182E-04 0.0000E+00 1.1115E-04 3.2653E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.5073E-04 2.1462E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3170E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2901E-05 2.9000E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.5441E-02 5.6070E-03 2.1596E-03 1.0049E-03 3.1500E-04 3.8465E-04 2.3500E-04 3.1318E-04 2.9344E-02 3.6032E-03 7.4013E-04 3.8979E-04 7.6958E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.1942E-04 2.0055E-03 1.5537E-04 0.0000E+00 0.0000E+00 1.5502E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9606E-05 0.0000E+00 0.0000E+00 2.0002E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2148E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.1332E-02 9.6344E-03 3.7034E-03 1.6517E-03 8.5061E-04 5.1163E-04 0.0000E+00 0.0000E+00 4.0638E-02 3.2858E-03 1.4940E-03 5.1149E-04 0.0000E+00 0.0000E+00 8.3030E-05 0.0000E+00 0.0000E+00 2.2410E-03 0.0000E+00 1.6834E-04 1.6835E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6400E-05 1.6653E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1726E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8967E-05 1.1637E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 5.4871E-02 1.2101E-02 3.0611E-03 1.7265E-03 8.0844E-04 1.2887E-03 1.3708E-04 1.3750E-04 4.5796E-02 7.1386E-03 1.9988E-03 5.0901E-04 0.0000E+00 0.0000E+00 5.2441E-04 0.0000E+00 1.3283E-04 4.1457E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6967E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3347E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0280E-01 1.3918E-02 5.2042E-03 1.7107E-03 9.4539E-04 5.7775E-04 5.0442E-04 2.2241E-04 4.6031E-02 1.1943E-02 1.6774E-03 8.7108E-04 2.1652E-04 1.4101E-04 7.0683E-05 0.0000E+00 7.2763E-05 3.6328E-03 8.0870E-04 2.1659E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4271E-04 7.2953E-05 7.0177E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3251E-04 4.7810E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9737E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8461E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.6942E-01 1.6466E-02 6.6714E-03 2.2903E-03 4.9705E-04 8.6647E-04 3.9244E-04 8.1330E-05 3.5377E-02 2.6356E-02 3.1768E-03 9.9556E-04 7.1618E-04 7.8331E-05 1.6668E-04 7.9665E-05 0.0000E+00 3.3431E-03 1.1429E-03 0.0000E+00 1.6227E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9998E-04 2.4816E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2120E-04 8.7750E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0550E-05 0.0000E+00 3.3958E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0442E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.3637E-01 3.4472E-02 8.5484E-03 3.0122E-03 9.0387E-04 4.1957E-04 4.2353E-04 4.8080E-04 1.3321E-02 3.9271E-02 4.8270E-03 9.3428E-04 7.2680E-04 4.7932E-04 5.8418E-05 1.1531E-04 0.0000E+00 2.9410E-03 2.7683E-03 1.1890E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8446E-04 2.2759E-04 7.4083E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9727E-04 5.4956E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5721E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3919E-05 4.9177E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5434E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.6102E-01 1.1112E-01 1.5839E-02 4.6477E-03 1.4601E-03 1.3538E-03 5.9318E-04 2.1351E-04 2.5118E-03 3.8884E-02 1.6902E-02 2.3194E-03 6.7811E-04 5.3598E-04 1.6966E-04 8.4379E-05 0.0000E+00 3.3855E-04 3.2361E-03 9.5613E-04 2.1122E-04 4.2711E-05 4.2128E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.7668E-04 3.9832E-04 1.3798E-04 4.2609E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2823E-05 4.9479E-05 2.8146E-05 0.0000E+00 8.1567E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1802E-05 1.0500E-04 4.5802E-05 1.7550E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0571E-04 3.8296E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7545E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7398E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.7983E-02 1.9182E-01 3.8893E-02 7.3095E-03 2.4985E-03 1.6269E-03 7.3410E-04 3.6576E-04 8.6674E-04 1.6102E-02 4.2202E-02 5.2918E-03 1.1159E-03 2.7961E-04 2.2092E-04 5.7361E-05 5.5574E-05 5.6777E-05 1.5187E-03 1.7353E-03 3.9138E-04 0.0000E+00 5.6575E-05 1.0729E-04 5.7124E-05 5.6899E-05 1.3637E-04 4.0320E-04 6.4584E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2645E-05 1.0184E-04 4.2220E-05 1.4465E-05 1.2535E-05 0.0000E+00 1.2152E-05 0.0000E+00 0.0000E+00 4.2066E-05 3.7065E-05 4.2127E-05 2.2818E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3105E-05 3.7118E-05 2.3126E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4549E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 7.0264E-03 1.3734E-01 1.0859E-01 1.5952E-02 4.3813E-03 1.6759E-03 1.0242E-03 5.1636E-04 1.9491E-04 2.3384E-03 3.8389E-02 1.5849E-02 2.0900E-03 6.4614E-04 3.7866E-04 1.2959E-04 6.5959E-05 6.4759E-05 3.7706E-04 3.3827E-03 6.3831E-04 6.2818E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0710E-05 1.1618E-04 4.2425E-04 6.0466E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5856E-05 1.0918E-04 1.5132E-04 4.2764E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1902E-05 1.0331E-04 1.4401E-04 0.0000E+00 3.3829E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6091E-05 2.5975E-05 4.9077E-05 0.0000E+00 1.1497E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1986E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.9955E-03 4.2130E-02 1.5574E-01 3.5269E-02 5.0197E-03 2.3795E-03 6.5566E-04 8.0861E-04 2.6477E-04 1.1018E-03 1.8440E-02 3.3937E-02 3.5593E-03 2.0125E-03 2.6621E-04 3.0177E-04 6.7789E-05 0.0000E+00 4.0038E-04 2.1429E-03 2.6843E-03 4.7108E-04 6.5856E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3542E-04 1.9609E-04 3.7959E-04 1.6563E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1279E-06 1.0490E-04 1.1489E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6921E-05 2.1422E-05 1.8667E-04 9.6049E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7246E-05 1.7069E-05 1.7228E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7270E-05 2.8115E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6931E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 7.1824E-04 1.0591E-02 1.2164E-01 9.6972E-02 1.0969E-02 4.0204E-03 1.2950E-03 8.2214E-04 0.0000E+00 4.1215E-04 4.1150E-03 3.5569E-02 1.5296E-02 1.6898E-03 5.2441E-04 3.2178E-04 3.9558E-04 0.0000E+00 0.0000E+00 7.1710E-04 2.2502E-03 9.6486E-04 1.9607E-04 2.6186E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6051E-04 5.5398E-04 2.9426E-04 4.2598E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.9235E-05 1.6294E-05 1.2172E-04 2.6548E-05 0.0000E+00 0.0000E+00 1.6587E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1468E-04 1.0625E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7055E-05 2.6579E-05 1.6439E-05 2.6187E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6514E-05 0.0000E+00 1.5985E-05 8.6750E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6849E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.6549E-04 2.6455E-03 4.0166E-02 1.6194E-01 2.5961E-02 5.9773E-03 2.1241E-03 1.3420E-03 0.0000E+00 3.6304E-04 2.1815E-03 1.6910E-02 2.9247E-02 5.0035E-03 7.3804E-04 3.5992E-04 2.7249E-04 0.0000E+00 0.0000E+00 1.7459E-04 1.8692E-03 2.2201E-03 6.3974E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0744E-05 6.9883E-04 3.6710E-04 1.1247E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2996E-05 4.6935E-05 2.2043E-04 0.0000E+00 3.6863E-05 3.6950E-05 0.0000E+00 0.0000E+00 3.6718E-05 0.0000E+00 7.3183E-05 1.4338E-04 4.2075E-05 3.5951E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7188E-05 4.7361E-05 2.3433E-05 3.7280E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6677E-05 7.4279E-05 2.3545E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7264E-05 2.3686E-05 6.0423E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7408E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.9402E-04 1.3062E-03 1.4039E-02 1.4621E-01 5.7413E-02 9.3497E-03 2.8045E-03 2.2142E-03 0.0000E+00 0.0000E+00 5.6016E-04 5.9939E-03 3.7651E-02 1.1374E-02 1.0997E-03 2.0421E-04 2.0224E-04 0.0000E+00 0.0000E+00 2.9757E-04 8.0445E-04 2.7098E-03 7.9685E-04 2.9885E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4718E-04 8.2497E-04 1.0089E-04 2.5901E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6966E-05 1.8601E-04 1.6621E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1660E-05 5.0656E-05 2.4946E-05 1.0846E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1079E-05 4.0844E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1412E-05 4.0942E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5965E-05 2.4707E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1681E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1644E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 7.9544E-04 4.7629E-03 9.1349E-02 1.0383E-01 2.0857E-02 6.3802E-03 1.6739E-03 0.0000E+00 0.0000E+00 3.4267E-04 1.8249E-03 2.4374E-02 2.3229E-02 2.8706E-03 9.9092E-04 3.2332E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.4955E-04 3.5553E-03 1.5495E-03 2.0987E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0681E-04 0.0000E+00 4.0824E-04 2.2907E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5873E-05 7.4270E-05 8.0330E-05 1.4816E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6605E-05 7.5082E-05 8.0524E-05 7.3703E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6086E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6452E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6361E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7964E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6320E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 3.0694E-04 2.6793E-03 2.9967E-02 1.2843E-01 4.1910E-02 7.1531E-03 2.8588E-03 0.0000E+00 1.2779E-04 0.0000E+00 5.0370E-04 1.6697E-02 4.0171E-02 4.2665E-03 1.4904E-03 1.4797E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4707E-03 2.3422E-03 7.3947E-04 2.1784E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9802E-05 7.2787E-04 0.0000E+00 3.2579E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0530E-05 2.9381E-04 2.7126E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9179E-05 1.4657E-04 9.7854E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0339E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2668E-05 0.0000E+00 3.1413E-05 1.7743E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 1.0035E-03 1.3205E-02 1.0603E-01 7.1644E-02 1.1235E-02 7.4105E-03 0.0000E+00 0.0000E+00 3.8796E-04 2.7467E-04 3.8667E-03 3.4100E-02 9.6106E-03 1.3192E-03 6.7623E-04 5.1865E-05 0.0000E+00 0.0000E+00 1.3561E-04 7.8065E-04 3.3965E-03 6.5746E-04 8.9749E-04 1.3722E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.3430E-04 5.2544E-05 5.7873E-04 3.9116E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4787E-05 2.7425E-05 2.1875E-04 8.5714E-05 0.0000E+00 3.4962E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0414E-04 8.5942E-05 5.2047E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3720E-05 3.4252E-05 1.5536E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4539E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9799E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0212E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 1.0266E-03 4.9514E-03 6.8906E-02 1.0737E-01 1.9702E-02 1.0145E-02 0.0000E+00 0.0000E+00 0.0000E+00 1.4130E-04 1.1016E-03 2.8715E-02 1.2870E-02 2.2731E-03 2.3058E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8168E-04 1.5212E-03 2.4184E-03 7.2992E-04 1.4733E-04 0.0000E+00 1.4544E-04 0.0000E+00 5.8704E-05 0.0000E+00 2.9662E-04 2.8649E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.0393E-05 0.0000E+00 3.5613E-05 5.7381E-05 5.8119E-05 1.5652E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7409E-05 0.0000E+00 5.8003E-05 3.6982E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6758E-05 0.0000E+00 5.8210E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7683E-05 0.0000E+00 0.0000E+00 6.0303E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8903E-06 1.9749E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5170E-05 4.9907E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5188E-05 5.0231E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9744E-05 5.0647E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4151E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3541E-06 ; 0.0000E+00 0.0000E+00 8.7896E-04 3.3567E-03 2.9475E-02 1.2146E-01 3.2303E-02 1.0658E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4359E-03 2.1745E-02 2.3216E-02 4.0179E-03 2.6533E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0741E-03 1.7580E-03 7.9684E-04 1.6224E-04 1.6210E-04 0.0000E+00 3.9489E-05 3.9519E-05 3.1477E-04 3.8534E-04 7.0515E-04 1.5943E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5576E-05 6.5367E-05 1.9895E-04 0.0000E+00 0.0000E+00 4.1312E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4684E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1273E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.5290E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9890E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5371E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4376E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 6.2852E-05 2.9609E-04 1.2669E-03 7.2322E-03 9.2115E-02 7.6640E-02 2.2916E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0603E-04 5.4011E-03 2.8197E-02 1.4601E-02 5.7389E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9764E-05 3.1413E-04 2.3887E-03 2.3627E-03 3.3317E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9305E-05 1.2663E-04 2.5864E-04 2.6689E-04 0.0000E+00 4.1613E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0334E-05 5.7873E-05 7.4422E-05 0.0000E+00 2.5583E-05 0.0000E+00 0.0000E+00 2.6088E-05 0.0000E+00 2.6051E-05 6.8312E-05 4.9039E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2388E-05 2.6345E-05 4.8531E-05 4.2705E-05 1.6267E-05 5.2317E-05 0.0000E+00 2.6235E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5604E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6234E-05 0.0000E+00 0.0000E+00 2.5229E-05 2.6325E-05 0.0000E+00 0.0000E+00 2.6336E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6299E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6633E-05 2.0061E-05 1.6609E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1331E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 4.6565E-04 3.4778E-04 1.6453E-02 1.1985E-01 4.9083E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6377E-04 9.5335E-03 3.0469E-02 1.0255E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0306E-03 3.4642E-03 8.1098E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1432E-04 2.7643E-04 7.6995E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.9455E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.5973E-05 7.7144E-05 1.1461E-04 2.9424E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9215E-05 0.0000E+00 1.2421E-04 0.0000E+00 0.0000E+00 2.8574E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5975E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.9351E-05 4.7804E-05 4.8409E-05 0.0000E+00 0.0000E+00 2.9555E-05 0.0000E+00 0.0000E+00 2.9088E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9339E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9307E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2298E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3793E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 3.5614E-04 2.8463E-04 1.5665E-03 6.4212E-02 1.2774E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0361E-03 2.3583E-02 2.3342E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7040E-04 3.4023E-03 1.2020E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1857E-04 5.7563E-04 9.2691E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6013E-05 9.9495E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.8744E-05 0.0000E+00 0.0000E+00 7.5004E-05 0.0000E+00 6.2040E-05 4.7160E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1481E-04 2.4069E-05 2.4102E-05 2.4016E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2785E-05 0.0000E+00 6.0547E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0265E-05 3.8160E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8939E-07 0.0000E+00 0.0000E+00 3.8676E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4595E-04 1.6410E-02 1.7767E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2953E-03 4.1260E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6079E-04 2.1874E-04 3.9638E-03 9.8020E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7406E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0906E-04 0.0000E+00 4.0664E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0646E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8289E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8039E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0151E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7682E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2368E-05 1.5082E-05 0.0000E+00 0.0000E+00 7.4866E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6366E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5768E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3808E-04 2.6266E-04 1.5724E-03 1.8211E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3810E-04 1.3215E-03 4.5976E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2992E-04 2.9076E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9502E-04 5.2281E-05 6.8169E-05 5.1734E-05 3.3907E-05 0.0000E+00 0.0000E+00 5.3838E-05 0.0000E+00 1.8561E-05 1.3937E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3957E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5935E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0677E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6530E-04 2.6396E-04 1.7620E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5808E-04 1.3287E-04 4.5139E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5345E-04 3.6311E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4072E-05 1.0468E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6445E-05 0.0000E+00 0.0000E+00 5.3970E-05 3.3985E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2895E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5059E-06 0.0000E+00 1.2689E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6485E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4948E-04 0.0000E+00 1.6613E-01 0.0000E+00 0.0000E+00 2.6786E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4444E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5173E-04 2.8697E-03 0.0000E+00 5.9485E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3170E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8926E-05 0.0000E+00 0.0000E+00 5.9544E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1203E-05 5.9265E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9830E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2812E-05 1.4855E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4707E-07 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9414E-04 0.0000E+00 0.0000E+00 1.6732E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9953E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8105E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9397E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2017E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5689E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8057E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7046E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3281E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3664E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6669E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5847E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1329E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4451E-04 3.3828E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7671E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5658E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3139E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4724E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0256E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2286E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2199E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7633E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8573E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2865E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5529E-06 2.8755E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7284E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0219E-02 2.9124E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7269E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3772E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9971E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7322E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6723E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9498E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0281E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3727E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4719E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5243E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5267E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7752E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6523E-04 1.3730E-04 9.3801E-05 9.3419E-05 4.5385E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5351E-04 1.3524E-04 4.7457E-05 4.5448E-05 4.7617E-05 4.4654E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.9960E-04 3.7599E-05 3.6846E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3352E-03 7.5351E-04 2.2464E-04 1.4756E-04 1.8553E-04 2.9754E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.7123E-04 1.1272E-04 0.0000E+00 1.1202E-04 0.0000E+00 7.1501E-05 0.0000E+00 3.6667E-05 4.1627E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.2744E-04 2.2437E-04 1.3146E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6198E-03 8.8669E-04 4.5294E-04 4.5207E-04 3.4454E-04 2.2704E-04 8.9540E-05 0.0000E+00 0.0000E+00 7.1700E-04 5.0104E-04 1.7362E-04 8.9431E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.8505E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.4870E-04 4.1835E-05 4.1240E-05 8.3453E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0427E-03 1.5258E-03 4.1545E-04 3.2115E-04 2.4751E-04 1.6650E-04 8.2120E-05 4.2212E-05 0.0000E+00 7.0398E-04 2.4925E-04 2.2795E-04 8.4195E-05 4.1787E-05 0.0000E+00 8.0612E-05 0.0000E+00 0.0000E+00 6.4456E-05 0.0000E+00 4.2098E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1083E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.9376E-04 9.8115E-05 0.0000E+00 1.8476E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1194E-03 2.5191E-03 1.1260E-03 6.5698E-04 0.0000E+00 2.0712E-04 9.3500E-05 0.0000E+00 0.0000E+00 1.0458E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3625E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.3510E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7493E-03 3.2974E-03 1.3660E-03 7.2758E-04 7.6881E-04 1.0618E-04 2.8509E-04 1.0659E-04 0.0000E+00 2.6684E-03 3.1573E-04 1.0470E-04 0.0000E+00 2.1041E-04 0.0000E+00 1.0592E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 9.1745E-04 1.1504E-04 1.1217E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1840E-02 3.6013E-03 9.8084E-04 1.0291E-03 2.3159E-04 5.7265E-04 2.3049E-04 1.1097E-04 2.1213E-04 2.7226E-03 1.0226E-03 2.2065E-04 7.9596E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.3969E-03 2.2857E-04 4.7453E-04 9.1640E-05 0.0000E+00 1.2165E-04 0.0000E+00 0.0000E+00 1.4655E-02 4.7451E-03 3.4257E-03 1.4444E-03 5.7673E-04 3.5726E-04 0.0000E+00 0.0000E+00 1.0045E-04 2.7280E-03 8.2709E-04 9.6750E-04 5.8724E-04 1.2339E-04 0.0000E+00 2.9548E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8074E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.5242E-03 6.5535E-04 2.0759E-04 0.0000E+00 1.3178E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.4555E-02 5.1283E-03 2.6794E-03 9.3754E-04 2.6824E-04 2.5641E-04 2.6456E-04 0.0000E+00 0.0000E+00 3.4723E-03 1.1960E-03 1.0615E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6896E-04 0.0000E+00 2.6373E-04 2.5642E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2797E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.4993E-04 5.6355E-04 1.4478E-04 3.2730E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3552E-02 1.0105E-02 2.8851E-03 9.8886E-04 0.0000E+00 2.4991E-04 5.6800E-04 8.2046E-05 0.0000E+00 6.2345E-03 8.3844E-04 7.1103E-04 3.1431E-04 1.2484E-04 2.8508E-04 0.0000E+00 1.3922E-04 0.0000E+00 1.4122E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5200E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0247E-03 8.7978E-04 1.4896E-04 0.0000E+00 0.0000E+00 1.4446E-04 0.0000E+00 0.0000E+00 4.7998E-02 9.4777E-03 2.1889E-03 1.6468E-03 9.8467E-04 5.3539E-04 0.0000E+00 1.4632E-04 0.0000E+00 1.0923E-02 2.8107E-03 3.0136E-04 1.0973E-03 3.0450E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1079E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.8871E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2159E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7734E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0843E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.0476E-03 4.7267E-04 1.6195E-04 1.5707E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.6177E-04 5.9543E-02 1.3325E-02 4.2788E-03 8.0633E-04 6.0790E-04 1.6236E-04 3.1573E-04 4.7048E-04 0.0000E+00 1.6351E-02 2.7512E-03 9.2616E-05 0.0000E+00 1.6465E-04 2.3276E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.0646E-04 3.2310E-04 0.0000E+00 6.4342E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0467E-04 4.1626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.6900E-03 2.3336E-04 3.5365E-04 2.1775E-04 2.2694E-04 0.0000E+00 1.1938E-04 0.0000E+00 1.1631E-01 1.9375E-02 5.2115E-03 2.0328E-03 1.1423E-03 4.6989E-04 2.2752E-04 1.1957E-04 2.2298E-04 3.3720E-02 4.1743E-03 4.7125E-04 3.5794E-04 2.2588E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6000E-03 4.4874E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2661E-05 0.0000E+00 4.4651E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6142E-05 4.5003E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.4546E-03 1.3827E-03 5.1125E-04 0.0000E+00 0.0000E+00 2.5443E-04 0.0000E+00 0.0000E+00 2.3581E-01 2.2544E-02 5.8736E-03 2.2986E-03 8.7050E-04 3.8915E-04 4.7823E-04 0.0000E+00 1.2790E-04 4.8562E-02 3.7474E-03 1.6693E-03 1.3423E-04 1.3014E-04 2.5717E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.7645E-03 4.9817E-04 2.5475E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2882E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2576E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1107E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3846E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2190E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 5.8498E-03 7.0756E-04 1.1165E-03 1.9699E-04 0.0000E+00 0.0000E+00 3.0929E-04 0.0000E+00 2.9789E-01 3.4977E-02 8.5266E-03 3.1402E-03 4.1022E-04 3.0330E-04 8.1569E-04 0.0000E+00 2.0097E-04 6.0756E-02 6.8315E-03 6.0636E-04 1.0162E-03 4.0560E-04 0.0000E+00 0.0000E+00 1.9590E-04 0.0000E+00 1.6623E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8427E-04 5.0849E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8160E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 8.0636E-03 1.6602E-03 4.3526E-04 2.2098E-04 2.2030E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.2572E-01 4.2195E-02 9.0550E-03 3.5162E-03 1.3143E-03 6.5448E-04 2.2454E-04 0.0000E+00 3.4785E-04 5.7466E-02 1.2881E-02 1.8761E-03 7.6921E-04 1.1156E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7818E-03 5.5568E-04 2.2264E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2003E-04 2.6806E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7086E-04 5.5628E-05 0.0000E+00 0.0000E+00 7.3629E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4424E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.4158E-02 2.8790E-03 5.5086E-04 1.6499E-04 0.0000E+00 1.6737E-04 0.0000E+00 0.0000E+00 2.1252E-01 1.6718E-01 2.0142E-02 5.6643E-03 1.9251E-03 9.4244E-04 4.2895E-04 3.2416E-04 3.1792E-04 3.3304E-02 4.1100E-02 5.2104E-03 4.9567E-04 5.0097E-04 2.7610E-04 3.2872E-04 1.5242E-04 0.0000E+00 5.0565E-03 1.2041E-03 3.3543E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.1360E-04 0.0000E+00 0.0000E+00 5.5875E-04 1.1824E-04 2.2719E-05 1.4489E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5696E-04 1.6182E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5256E-05 2.2939E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0822E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.6981E-02 6.4778E-03 1.2879E-03 3.7977E-04 1.4985E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.9073E-02 3.0851E-01 5.3059E-02 9.3663E-03 3.7168E-03 1.3327E-03 9.3966E-04 3.6361E-04 6.0950E-04 4.3209E-03 5.2964E-02 1.3362E-02 2.3373E-03 5.2984E-04 0.0000E+00 2.9907E-04 1.9913E-04 1.5274E-04 3.0319E-03 4.8946E-03 6.7566E-04 1.7953E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6152E-04 4.1486E-04 0.0000E+00 5.0729E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5702E-04 1.8305E-04 1.8678E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3036E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7920E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.0034E-02 2.0466E-02 2.8150E-03 7.1605E-04 1.9578E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.6070E-03 2.1870E-01 1.6362E-01 1.9182E-02 5.4704E-03 1.3604E-03 8.3450E-04 1.5755E-04 6.3086E-04 6.3616E-04 2.4829E-02 4.5450E-02 4.6236E-03 1.5019E-03 1.5939E-04 2.3587E-04 0.0000E+00 0.0000E+00 4.1136E-04 4.9913E-03 3.0058E-03 2.3699E-04 8.0978E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7306E-04 6.2446E-04 8.4099E-05 4.1066E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3547E-05 1.9281E-04 1.9851E-04 3.1524E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1101E-05 7.2094E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1860E-05 1.9956E-05 1.1120E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 5.2921E-03 3.0570E-02 7.7062E-03 1.0075E-03 1.1776E-03 2.7434E-04 3.6703E-04 9.0843E-05 2.8886E-03 4.8336E-02 2.9901E-01 4.5779E-02 8.2904E-03 4.2267E-03 1.2009E-03 2.8461E-04 9.9278E-04 2.6495E-04 4.7861E-03 5.5747E-02 1.1074E-02 1.9976E-03 4.3746E-04 4.0657E-04 9.0917E-05 0.0000E+00 1.1706E-04 1.5118E-03 4.1041E-03 9.5980E-04 2.7024E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5610E-04 7.0171E-04 3.9715E-04 1.7844E-04 3.6007E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2318E-05 7.3480E-05 3.2586E-04 7.2171E-05 0.0000E+00 0.0000E+00 3.7262E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.7881E-05 3.6221E-05 7.3122E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3377E-05 2.3943E-05 7.3683E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.8624E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 9.4617E-04 2.5443E-02 2.2891E-02 3.8781E-03 3.4241E-04 1.7338E-04 0.0000E+00 8.7294E-05 6.2181E-04 1.0229E-02 2.1453E-01 1.5089E-01 1.7656E-02 6.4209E-03 8.7557E-04 7.7044E-04 6.1163E-04 0.0000E+00 4.4281E-04 2.9027E-02 3.9711E-02 4.1041E-03 1.3617E-03 3.0307E-04 5.2587E-04 1.8080E-04 0.0000E+00 2.0234E-04 3.3602E-03 2.4446E-03 0.0000E+00 8.7444E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2371E-05 1.8786E-04 7.1231E-04 1.2737E-04 1.2170E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1819E-05 1.6283E-04 6.6707E-05 2.2738E-05 2.2856E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1781E-05 1.0522E-04 0.0000E+00 0.0000E+00 2.2554E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5476E-05 0.0000E+00 1.0588E-04 5.6774E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3003E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2073E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 6.5872E-04 5.0784E-03 3.2059E-02 9.0944E-03 1.2237E-03 6.5175E-04 8.2270E-05 8.2237E-05 4.8951E-04 2.7052E-03 5.2043E-02 2.7236E-01 6.0624E-02 1.1096E-02 3.3101E-03 1.8826E-03 1.3007E-03 0.0000E+00 3.6854E-04 5.9258E-03 5.1687E-02 1.8246E-02 2.0913E-03 9.0044E-04 5.7213E-04 2.3055E-04 0.0000E+00 3.0265E-04 1.6131E-03 4.8427E-03 2.4712E-04 7.9735E-05 8.2723E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.3527E-05 8.1338E-04 3.9507E-04 0.0000E+00 3.3643E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.3764E-05 0.0000E+00 5.4407E-05 1.9049E-04 5.4135E-05 5.3565E-05 2.0827E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2215E-04 8.6718E-05 2.0617E-05 0.0000E+00 2.0626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8811E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1567E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3388E-05 2.0323E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7448E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 2.3311E-03 1.7086E-02 2.4275E-02 3.7172E-03 1.3082E-04 0.0000E+00 1.3579E-04 0.0000E+00 1.4305E-03 6.5194E-03 1.7320E-01 1.7811E-01 2.5012E-02 5.5778E-03 2.3277E-03 2.0339E-03 0.0000E+00 0.0000E+00 1.5997E-03 2.3512E-02 4.7721E-02 5.3497E-03 1.4236E-03 0.0000E+00 2.5446E-04 5.2687E-05 3.3464E-05 5.2516E-05 5.8301E-03 1.3008E-03 2.6788E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2337E-05 2.0547E-04 8.0131E-04 1.3496E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2121E-05 0.0000E+00 0.0000E+00 2.2622E-04 7.1901E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4093E-05 1.2199E-04 5.8722E-05 1.7361E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3442E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4005E-05 0.0000E+00 5.3558E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3870E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3631E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 4.5787E-03 3.1015E-02 5.6694E-03 2.1804E-03 4.4264E-04 7.3285E-04 0.0000E+00 1.4852E-04 3.0291E-03 6.7085E-02 2.5595E-01 4.5686E-02 7.3967E-03 3.9564E-03 2.4183E-03 0.0000E+00 2.9024E-04 4.2338E-04 5.4823E-03 5.1779E-02 1.2660E-02 3.0392E-03 1.8007E-03 2.9767E-04 0.0000E+00 0.0000E+00 2.8619E-04 3.1513E-03 3.5632E-03 8.7694E-04 2.9474E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.6352E-05 3.3424E-04 1.0593E-03 2.1632E-04 6.0103E-05 3.6194E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7682E-05 5.8582E-05 0.0000E+00 2.7523E-04 3.6672E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9611E-05 8.6854E-05 5.8824E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7636E-05 0.0000E+00 3.6451E-05 0.0000E+00 9.6999E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0705E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9817E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7902E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1708E-05 6.7014E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5938E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 9.5823E-04 2.4752E-02 1.1198E-02 3.3220E-03 4.8585E-04 0.0000E+00 0.0000E+00 4.8156E-04 3.2405E-03 2.1029E-02 2.4313E-01 1.0118E-01 1.2236E-02 6.3848E-03 2.5811E-03 0.0000E+00 0.0000E+00 1.6384E-04 5.2337E-03 4.3460E-02 2.3003E-02 2.9116E-03 1.4416E-03 6.4806E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.1487E-04 4.3373E-03 1.9077E-03 1.6428E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0502E-04 4.7109E-04 4.9066E-04 1.7214E-04 0.0000E+00 6.6715E-05 0.0000E+00 0.0000E+00 8.2661E-05 6.5912E-05 3.9778E-05 1.4827E-04 4.1797E-05 4.1656E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7739E-06 0.0000E+00 3.6221E-06 8.0799E-05 1.0794E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9860E-04 0.0000E+00 6.4397E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1644E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0788E-04 0.0000E+00 4.1277E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 5.6701E-04 1.6948E-02 2.3351E-02 3.2481E-03 5.4172E-04 0.0000E+00 0.0000E+00 3.5603E-04 5.3732E-04 8.6793E-03 1.4561E-01 1.9998E-01 2.1589E-02 9.6504E-03 3.1334E-03 0.0000E+00 0.0000E+00 3.6219E-04 8.9107E-04 1.4758E-02 4.2726E-02 9.9406E-03 2.5206E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9780E-04 3.8328E-03 3.8959E-03 9.0938E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8515E-04 5.9849E-04 2.6549E-04 4.1917E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1610E-04 1.1670E-04 9.0769E-05 4.0823E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6528E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3232E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2259E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4956E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2890E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 1.0204E-04 1.9494E-04 5.9084E-03 2.7963E-02 8.0619E-03 2.3425E-03 1.9044E-04 0.0000E+00 0.0000E+00 3.7548E-04 3.4116E-03 4.5910E-02 2.5267E-01 6.0744E-02 1.4069E-02 4.4950E-03 0.0000E+00 0.0000E+00 1.0329E-04 5.1970E-04 4.8826E-03 3.5076E-02 2.5093E-02 6.5797E-03 4.1244E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.5417E-04 1.6632E-03 6.3265E-03 1.4046E-03 5.0848E-04 2.0282E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.7010E-05 7.5980E-04 4.6094E-04 2.9692E-04 2.6984E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9075E-04 6.7496E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.6009E-05 0.0000E+00 0.0000E+00 2.6207E-05 5.3049E-05 2.6981E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6928E-05 0.0000E+00 1.0902E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8291E-05 5.2496E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7063E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2022E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3346E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 1.7108E-03 1.1503E-02 2.1283E-02 4.3272E-03 8.3942E-04 0.0000E+00 0.0000E+00 4.9315E-04 1.7542E-03 6.4317E-03 1.6634E-01 1.7212E-01 3.2887E-02 1.1706E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9555E-04 9.5896E-03 4.4339E-02 1.4945E-02 1.7425E-03 0.0000E+00 1.2694E-04 0.0000E+00 0.0000E+00 7.4347E-04 4.8371E-03 2.5072E-03 1.0517E-03 3.6829E-04 3.1990E-05 0.0000E+00 0.0000E+00 1.6391E-04 2.4657E-04 1.1072E-03 5.1063E-04 3.1778E-05 0.0000E+00 0.0000E+00 3.2802E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.6477E-04 2.6369E-04 4.9606E-05 0.0000E+00 0.0000E+00 5.1290E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.8736E-05 3.2287E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2605E-05 6.4756E-05 5.1185E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0989E-05 8.2322E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3057E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7054E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 1.0785E-04 3.9334E-03 2.1933E-02 1.1851E-02 2.3568E-03 0.0000E+00 0.0000E+00 2.9576E-04 8.9089E-04 3.0518E-03 4.0539E-02 2.2399E-01 7.8675E-02 2.4773E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9185E-04 1.8928E-03 2.9480E-02 4.0451E-02 1.7539E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0157E-03 2.8258E-03 1.6145E-03 4.0767E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.0407E-05 9.6387E-05 4.6217E-04 4.7879E-04 1.9507E-04 3.7313E-05 0.0000E+00 6.0310E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.8208E-05 1.7026E-04 6.0218E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.0379E-05 0.0000E+00 0.0000E+00 2.0084E-05 1.2053E-04 9.5821E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2223E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.1299E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1538E-05 9.1760E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3878E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7434E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7547E-05 3.4345E-05 0.0000E+00 3.7610E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1071E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4216E-06 9.3331E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4186E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2987E-02 2.5228E-02 4.5935E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6927E-04 8.2854E-03 1.3265E-01 1.8179E-01 5.0939E-02 3.4042E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3382E-04 1.0127E-02 6.2430E-02 4.5871E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8880E-04 2.0303E-03 4.2175E-03 3.3923E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5178E-04 5.8290E-04 2.8806E-04 0.0000E+00 6.9199E-05 4.1451E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.0415E-05 2.5774E-04 3.4253E-04 4.0752E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2424E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1574E-05 0.0000E+00 7.0175E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8976E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8808E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8931E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1850E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2215E-05 3.4311E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4612E-03 2.6122E-02 1.0246E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9688E-04 1.9106E-03 3.8144E-02 2.1745E-01 1.1359E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9618E-04 3.5345E-03 6.0665E-02 1.0830E-02 4.8471E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6973E-03 5.5336E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7663E-05 3.2818E-04 1.6778E-04 9.1986E-04 0.0000E+00 0.0000E+00 1.3041E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1752E-05 2.9263E-04 8.1792E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0652E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0815E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.0408E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5700E-06 4.5107E-06 8.1714E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6094E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4054E-04 1.5718E-02 3.0475E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8346E-04 5.8955E-03 1.2087E-01 2.4223E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5743E-04 4.2644E-02 2.5912E-02 0.0000E+00 6.5313E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9560E-04 5.0641E-03 2.3026E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6024E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0119E-05 0.0000E+00 0.0000E+00 1.0321E-04 1.2606E-04 0.0000E+00 3.8861E-05 3.9718E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0947E-04 3.9026E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3827E-05 0.0000E+00 0.0000E+00 6.4501E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.9998E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.4514E-05 4.0172E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5007E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6810E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9566E-06 9.7879E-06 9.7783E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5282E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5860E-04 1.3429E-03 3.6196E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9659E-04 0.0000E+00 3.8953E-04 2.2185E-02 3.4362E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8149E-02 6.2921E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3824E-04 3.2608E-03 0.0000E+00 7.9688E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4309E-04 3.0046E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.9839E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.5615E-04 8.0226E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0585E-05 1.2993E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9532E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0045E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0935E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9576E-06 5.4495E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2392E-06 1.2068E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4700E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9050E-04 3.6584E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9805E-04 3.0896E-03 3.6312E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4028E-03 7.0241E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9342E-04 1.1361E-03 5.2318E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8633E-04 1.9656E-04 0.0000E+00 4.8681E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0404E-05 0.0000E+00 3.1446E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9106E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9193E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9107E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8757E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6423E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2217E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9747E-07 3.6574E-07 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0682E-02 0.0000E+00 0.0000E+00 0.0000E+00 2.0878E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.0880E-04 3.6359E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8298E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1233E-04 7.6633E-03 5.2948E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1981E-05 3.7951E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4875E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3953E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2938E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8446E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8358E-04 0.0000E+00 0.0000E+00 3.5394E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7000E-04 7.1339E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1541E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3296E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4814E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6904E-05 6.8909E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2643E-02 0.0000E+00 1.3402E-03 0.0000E+00 7.3896E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7498E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9898E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2468E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3941E-04 1.8956E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2438E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 2.8878E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1327E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8420E-04 5.2283E-04 0.0000E+00 0.0000E+00 3.3211E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6980E-02 0.0000E+00 0.0000E+00 1.0736E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5840E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8458E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3721E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1112E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9607E-05 9.1306E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8190E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3019E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3073E-06 1.8204E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0883E-02 0.0000E+00 0.0000E+00 0.0000E+00 9.0821E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3742E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7465E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5313E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1192E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5577E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6786E-04 1.0732E-04 5.5176E-05 5.4682E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3518E-03 6.8006E-04 2.7252E-04 4.3786E-04 1.0406E-04 5.5267E-05 0.0000E+00 0.0000E+00 1.0919E-04 2.7245E-04 2.7475E-04 1.0991E-04 5.3684E-05 1.0602E-04 1.1023E-04 1.6241E-04 0.0000E+00 1.0729E-04 5.5209E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6637E-04 6.4230E-05 3.2752E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8672E-03 1.0521E-03 5.5894E-04 4.6037E-04 2.0111E-04 3.2943E-04 1.1989E-04 0.0000E+00 1.3122E-04 9.2137E-04 1.9840E-04 8.4096E-05 1.6798E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1079E-03 0.0000E+00 2.7568E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2039E-03 9.5660E-04 2.8295E-04 4.1505E-04 0.0000E+00 0.0000E+00 2.7848E-04 0.0000E+00 0.0000E+00 2.7896E-04 2.7681E-04 2.6712E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0404E-05 0.0000E+00 0.0000E+00 3.4439E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5158E-03 1.5317E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5976E-03 3.0259E-03 6.9208E-04 4.5547E-04 4.4934E-04 4.5873E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.6693E-04 4.5625E-04 3.0068E-04 1.5627E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8117E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6179E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3586E-02 2.2765E-03 1.4449E-03 8.0687E-04 3.2751E-04 1.6342E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.6469E-03 1.4245E-03 1.6406E-04 0.0000E+00 1.5733E-04 1.5681E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8021E-03 1.7916E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4057E-02 3.6874E-03 1.0478E-03 3.2768E-04 8.6674E-04 5.1438E-04 0.0000E+00 3.4059E-04 0.0000E+00 1.9304E-03 1.0414E-03 3.3085E-04 1.2171E-04 4.5444E-05 3.3319E-04 1.8112E-04 1.0146E-04 0.0000E+00 1.6123E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1710E-03 4.1368E-04 5.5201E-04 0.0000E+00 1.8161E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9794E-02 5.7437E-03 4.0987E-04 1.4955E-03 3.7284E-04 1.8383E-04 3.7616E-04 0.0000E+00 0.0000E+00 3.8381E-03 1.1308E-03 7.4899E-04 0.0000E+00 1.8830E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9842E-03 2.3926E-03 0.0000E+00 5.8561E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6310E-02 7.3762E-03 4.5522E-03 8.7588E-04 5.9023E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.9885E-04 3.4812E-03 1.7685E-03 0.0000E+00 1.9707E-04 0.0000E+00 0.0000E+00 3.8268E-04 0.0000E+00 0.0000E+00 3.8586E-04 0.0000E+00 8.0535E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1381E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1313E-03 1.4675E-03 4.4722E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9205E-02 8.4488E-03 3.9421E-03 6.6882E-04 1.8059E-03 4.2962E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.4703E-03 4.5959E-04 0.0000E+00 4.5788E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.7851E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4714E-03 1.6924E-03 1.0680E-03 4.2077E-04 2.2103E-04 0.0000E+00 1.2515E-04 4.1991E-04 0.0000E+00 5.6553E-02 1.2834E-02 4.0868E-03 2.1576E-03 0.0000E+00 6.4292E-04 0.0000E+00 0.0000E+00 4.2590E-04 8.7604E-03 9.0467E-04 0.0000E+00 2.2448E-04 0.0000E+00 0.0000E+00 2.2489E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.5619E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5720E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1504E-02 2.0017E-03 9.1981E-04 6.2191E-04 2.9047E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5824E-01 2.0530E-02 4.7772E-03 1.6496E-03 2.5189E-04 5.7222E-04 1.6832E-04 8.6632E-05 0.0000E+00 2.6125E-02 2.9963E-03 9.9097E-04 6.7761E-04 0.0000E+00 0.0000E+00 8.7115E-05 0.0000E+00 0.0000E+00 4.4197E-04 5.5427E-05 2.1980E-05 5.5018E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.1979E-05 0.0000E+00 2.2167E-04 2.1959E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4714E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4363E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1428E-02 2.9350E-03 1.2890E-03 2.9898E-04 1.0374E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1474E-01 3.8546E-02 9.0735E-03 2.1600E-03 1.2915E-03 8.3615E-04 1.0365E-04 5.8346E-04 1.0100E-04 6.4241E-02 5.4591E-03 1.6106E-03 4.9146E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9736E-05 6.1156E-04 1.4509E-04 0.0000E+00 3.9074E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1564E-04 1.4533E-05 3.9730E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6680E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5520E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.8791E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.1730E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.3273E-02 1.1295E-02 2.0156E-03 6.1813E-04 5.5053E-04 0.0000E+00 0.0000E+00 1.5311E-04 0.0000E+00 2.1658E-01 1.6045E-01 1.7794E-02 4.8538E-03 1.9386E-03 1.5729E-04 9.4145E-04 7.7298E-04 7.7103E-05 5.7721E-02 2.6205E-02 4.2151E-03 1.1286E-03 3.8511E-04 1.1260E-04 1.5599E-04 7.9036E-05 1.5893E-04 3.4906E-03 4.7147E-04 7.1836E-05 2.0044E-05 0.0000E+00 6.4880E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.1363E-03 2.3476E-04 6.3105E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1446E-04 4.0027E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9909E-05 3.2687E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 2.0943E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6758E-02 3.8547E-02 5.6537E-03 7.3973E-04 5.2886E-04 2.0819E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.4052E-02 3.1464E-01 4.8438E-02 9.4053E-03 3.3391E-03 8.9752E-04 2.6037E-04 5.6795E-04 0.0000E+00 1.4110E-02 6.9582E-02 8.0912E-03 1.6791E-03 3.8589E-04 2.1514E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.9937E-03 1.5882E-03 1.8362E-04 1.3866E-04 4.3141E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8706E-04 1.1953E-03 1.2821E-04 1.1940E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6509E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5036E-04 8.6550E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.1162E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1111E-03 3.6999E-02 1.0409E-02 1.7698E-03 6.4431E-04 2.3052E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.0960E-03 2.0624E-01 1.7679E-01 1.8733E-02 4.5687E-03 2.0952E-03 1.2344E-03 7.7643E-04 1.1231E-04 1.8369E-03 4.8988E-02 3.2684E-02 2.8089E-03 9.4308E-04 1.6070E-04 5.5816E-04 1.1509E-04 0.0000E+00 1.7305E-03 5.4325E-03 4.1714E-04 1.3109E-04 4.4189E-05 0.0000E+00 0.0000E+00 4.4271E-05 0.0000E+00 1.4844E-04 1.0887E-03 5.8708E-04 2.9384E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6500E-04 9.0120E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7921E-04 2.8504E-05 0.0000E+00 2.8557E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.8300E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0530E-03 1.7382E-02 3.0627E-02 4.5636E-03 1.2588E-03 2.4630E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2593E-03 4.4618E-02 3.2119E-01 5.0566E-02 8.7675E-03 1.4897E-03 1.2648E-03 5.7086E-04 2.5914E-04 5.0307E-04 1.3701E-02 6.6080E-02 7.1305E-03 1.3582E-03 3.3370E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.1410E-04 4.1762E-03 1.9071E-03 4.7698E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3983E-04 7.9291E-04 1.8421E-04 0.0000E+00 3.3178E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5204E-04 1.0251E-04 2.2215E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1239E-05 1.5428E-04 8.5730E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2556E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 4.7574E-04 8.5286E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2498E-04 3.2810E-03 4.3487E-02 1.2562E-02 2.1613E-03 2.4202E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.3960E-04 9.4865E-03 2.2073E-01 1.6328E-01 1.7865E-02 4.0113E-03 1.9393E-03 7.2487E-04 1.2255E-04 7.8044E-04 1.4004E-03 5.6336E-02 3.0273E-02 4.4210E-03 6.3743E-04 4.9124E-04 2.4011E-04 2.4525E-04 6.0048E-05 1.7456E-03 4.2393E-03 6.9795E-04 6.1407E-05 6.0134E-05 5.0786E-05 0.0000E+00 0.0000E+00 1.0925E-04 1.1164E-04 9.4875E-04 9.6187E-04 2.0978E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3076E-04 5.0514E-05 1.2912E-04 2.2343E-05 3.0646E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0167E-05 0.0000E+00 1.0912E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3224E-04 2.9901E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 3.3933E-04 1.1032E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2837E-04 2.2721E-04 1.6654E-02 3.2100E-02 5.3204E-03 6.7627E-04 6.7088E-04 0.0000E+00 0.0000E+00 6.7123E-04 2.2522E-03 4.5454E-02 3.0334E-01 6.0180E-02 1.0262E-02 2.7137E-03 1.0564E-03 4.4725E-04 0.0000E+00 8.0570E-04 1.0085E-02 6.9521E-02 5.7306E-03 1.5898E-03 4.5100E-04 5.7045E-04 0.0000E+00 2.8224E-05 3.0119E-04 3.6980E-03 2.2219E-03 4.1009E-04 4.6062E-05 0.0000E+00 9.5265E-05 0.0000E+00 0.0000E+00 4.6592E-05 2.6203E-04 1.3932E-03 7.8205E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6839E-05 1.6994E-04 2.3544E-04 1.2335E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3835E-05 2.7821E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5029E-04 0.0000E+00 4.6940E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8796E-05 1.0273E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 3.5646E-04 3.6134E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0565E-03 3.5343E-02 1.0097E-02 2.1548E-03 3.7042E-04 0.0000E+00 1.7480E-04 0.0000E+00 1.2864E-03 8.5502E-03 2.0094E-01 1.8852E-01 1.7084E-02 6.7256E-03 3.6840E-03 3.5636E-04 1.8030E-04 3.5873E-04 1.1953E-03 5.4070E-02 2.7208E-02 3.1351E-03 7.3843E-05 7.3313E-04 0.0000E+00 7.5585E-05 1.6559E-04 9.3738E-04 4.4638E-03 3.7573E-04 0.0000E+00 4.5940E-05 0.0000E+00 0.0000E+00 4.4869E-05 0.0000E+00 2.2361E-04 8.3855E-04 6.6708E-04 9.8086E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8003E-04 1.6652E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2622E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6081E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5517E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6003E-03 2.1219E-02 2.9595E-02 3.9802E-03 1.0066E-03 2.1477E-04 2.1417E-04 0.0000E+00 2.0867E-04 4.0867E-03 6.5317E-02 2.8570E-01 3.9277E-02 9.3821E-03 4.3690E-03 7.9756E-04 5.2299E-05 7.7724E-05 1.1330E-03 2.9582E-02 4.4950E-02 6.4074E-03 1.5781E-03 7.5299E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.0265E-04 4.9931E-03 9.6081E-04 4.8785E-04 1.0835E-04 0.0000E+00 0.0000E+00 5.3957E-05 0.0000E+00 1.3182E-04 1.0785E-04 1.2523E-03 3.2338E-04 5.2341E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3544E-04 2.1152E-04 1.3397E-04 5.1796E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3555E-05 0.0000E+00 1.3622E-04 0.0000E+00 8.0383E-05 0.0000E+00 5.4102E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.6121E-04 1.3499E-04 8.1976E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3606E-04 0.0000E+00 0.0000E+00 5.2138E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 4.5533E-04 2.3080E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2695E-04 2.3134E-04 8.6934E-03 4.0783E-02 8.0547E-03 1.1332E-03 2.3087E-04 6.7858E-04 4.3896E-04 6.6649E-04 2.0231E-03 2.1652E-02 2.6218E-01 9.4084E-02 1.5781E-02 5.4954E-03 9.1048E-04 0.0000E+00 0.0000E+00 3.2077E-04 1.2990E-02 6.1202E-02 1.3834E-02 1.7146E-03 6.6246E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.0880E-04 2.6433E-03 3.3067E-03 2.7792E-04 1.1439E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9949E-04 1.2562E-03 8.0039E-04 1.8205E-04 0.0000E+00 0.0000E+00 9.2446E-05 9.3684E-05 0.0000E+00 0.0000E+00 1.7443E-04 2.4008E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4888E-04 9.3463E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6317E-05 1.4955E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2394E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 4.5173E-04 2.5365E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5506E-04 3.3579E-03 3.1824E-02 1.5919E-02 4.3756E-04 1.4090E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.4306E-03 1.0522E-02 1.7015E-01 1.9616E-01 3.0242E-02 7.9451E-03 1.2812E-03 0.0000E+00 0.0000E+00 0.0000E+00 3.0331E-03 4.7826E-02 3.3771E-02 3.2350E-03 1.7673E-03 5.8767E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.0465E-04 4.8341E-03 3.1925E-04 6.2376E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1681E-05 8.6502E-04 5.7504E-04 1.6099E-04 6.4006E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4069E-05 0.0000E+00 2.7964E-04 1.1317E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6130E-04 6.3568E-05 0.0000E+00 6.4430E-05 9.7360E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7306E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5918E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 2.7726E-04 2.8022E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0974E-03 1.9594E-02 3.7070E-02 1.1133E-03 2.7708E-04 0.0000E+00 5.4967E-04 0.0000E+00 1.3957E-03 3.6236E-03 6.7842E-02 2.4558E-01 5.9383E-02 1.5335E-02 2.3905E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.6802E-03 2.2390E-02 6.0125E-02 6.9348E-03 2.6210E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.8772E-04 5.7776E-04 4.3682E-03 2.1755E-03 7.0868E-05 6.3194E-04 0.0000E+00 0.0000E+00 7.1610E-05 0.0000E+00 1.1613E-04 3.9822E-04 9.2933E-04 0.0000E+00 1.1695E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1701E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1752E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8839E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 5.9868E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1853E-04 9.4587E-03 4.3517E-02 5.0412E-03 5.8881E-04 6.1424E-04 0.0000E+00 0.0000E+00 5.9631E-04 2.1321E-03 2.7164E-02 2.3574E-01 1.2737E-01 1.8489E-02 2.9914E-03 0.0000E+00 0.0000E+00 0.0000E+00 8.1391E-04 6.0233E-03 6.9675E-02 1.5365E-02 2.1382E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4755E-04 8.7656E-04 4.0805E-03 5.4644E-04 3.7689E-04 0.0000E+00 0.0000E+00 1.2437E-04 0.0000E+00 0.0000E+00 2.0198E-04 8.7687E-04 0.0000E+00 2.9227E-04 7.3357E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9658E-06 0.0000E+00 0.0000E+00 6.7571E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3326E-05 1.2459E-04 7.3466E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2810E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9562E-05 1.0707E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 6.5219E-04 1.4635E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0337E-04 2.5843E-03 2.7275E-02 8.0612E-03 1.2911E-03 0.0000E+00 0.0000E+00 0.0000E+00 3.3065E-04 9.8656E-04 1.5683E-02 1.2862E-01 2.2053E-01 3.4429E-02 5.4625E-03 0.0000E+00 0.0000E+00 0.0000E+00 6.5129E-04 6.7576E-03 5.4280E-02 2.9568E-02 5.4662E-03 9.7409E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.3257E-05 8.3625E-04 4.7457E-03 3.3518E-04 8.1134E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0508E-04 9.5289E-04 8.2696E-04 8.4201E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.3403E-04 8.2739E-05 0.0000E+00 2.3041E-04 8.1959E-05 0.0000E+00 0.0000E+00 1.3307E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1271E-05 1.3398E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3360E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2861E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3429E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5421E-05 4.4336E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3348E-05 4.4577E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 5.0737E-04 7.3684E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3258E-03 1.0635E-03 3.2369E-02 2.6293E-02 2.1768E-03 6.6756E-04 0.0000E+00 0.0000E+00 3.6401E-04 1.0969E-03 4.9439E-03 5.4828E-02 2.5631E-01 7.2268E-02 3.6039E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.0510E-03 2.5992E-03 3.0240E-02 3.6457E-02 8.2583E-03 3.7371E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.7935E-04 7.3647E-04 3.8834E-03 2.2537E-03 5.6088E-04 0.0000E+00 0.0000E+00 1.3580E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.0258E-04 1.3088E-03 3.2997E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8114E-04 3.7160E-04 9.5506E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7670E-04 0.0000E+00 0.0000E+00 9.4274E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3883E-04 0.0000E+00 0.0000E+00 9.2626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1384E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1279E-04 5.1068E-04 5.2808E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5604E-03 1.6512E-02 2.7557E-02 8.4797E-03 1.9275E-03 0.0000E+00 0.0000E+00 2.7448E-04 5.0945E-04 6.7895E-03 1.6968E-02 2.3209E-01 1.4346E-01 7.2771E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6832E-03 1.5400E-02 6.2064E-02 1.8770E-02 1.6936E-03 0.0000E+00 0.0000E+00 7.2238E-05 0.0000E+00 6.9968E-05 2.8395E-03 2.3266E-03 1.5445E-03 1.0973E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2321E-04 1.1495E-03 8.0901E-04 1.0860E-04 0.0000E+00 7.1879E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1572E-05 2.1852E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1471E-05 2.1760E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2568E-05 7.2371E-05 6.8985E-05 0.0000E+00 1.0582E-04 0.0000E+00 1.0949E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1782E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2910E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0588E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9916E-04 1.2056E-03 7.9443E-03 3.7317E-02 1.2271E-02 2.1190E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6197E-03 6.3592E-03 1.4402E-01 2.3851E-01 1.1261E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4692E-03 4.9710E-02 3.1490E-02 1.2409E-03 1.2089E-04 1.2101E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.4562E-03 5.1688E-03 1.5218E-03 2.0024E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4994E-04 9.9542E-04 6.4836E-04 1.2123E-04 7.7601E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5426E-04 1.2313E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4582E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7492E-04 0.0000E+00 7.8148E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2523E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0333E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0375E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9021E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7926E-04 7.3769E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5487E-04 3.2687E-03 2.2423E-02 2.2777E-02 4.7666E-03 0.0000E+00 0.0000E+00 2.5635E-04 0.0000E+00 9.8913E-04 3.0013E-03 4.2465E-02 3.3585E-01 2.7686E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2176E-03 1.7032E-02 6.2979E-02 5.9799E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0077E-04 6.1995E-04 3.3734E-03 2.5821E-03 6.4173E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0123E-04 0.0000E+00 3.0056E-04 1.1316E-04 9.0040E-04 6.5622E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6568E-04 1.0085E-04 9.7816E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5189E-05 6.4531E-05 0.0000E+00 6.5066E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7938E-05 9.8500E-05 0.0000E+00 6.3532E-05 1.2566E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.8971E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8912E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3329E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2978E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8974E-03 1.4765E-03 0.0000E+00 5.8432E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1146E-02 2.8438E-02 1.5045E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6403E-04 2.9072E-04 6.9229E-03 3.2592E-01 4.2638E-02 0.0000E+00 0.0000E+00 0.0000E+00 2.9637E-04 0.0000E+00 0.0000E+00 4.9575E-03 8.6607E-02 1.0949E-02 0.0000E+00 0.0000E+00 4.7013E-05 0.0000E+00 0.0000E+00 7.2910E-05 9.4942E-04 5.6003E-03 5.8430E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3774E-04 6.7484E-04 9.4491E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1884E-04 1.9597E-04 7.3959E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.4681E-05 1.1926E-04 0.0000E+00 1.1885E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2070E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9190E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6529E-04 1.2538E-03 2.7552E-02 2.7265E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0114E-03 1.0170E-03 1.0059E-03 2.7676E-01 1.1099E-01 0.0000E+00 1.3804E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.5410E-04 9.0099E-04 7.1267E-02 1.9247E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6467E-05 2.1562E-04 6.0169E-03 9.8735E-04 0.0000E+00 8.4187E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.3616E-04 8.3351E-05 3.6182E-04 1.2747E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5006E-05 1.3847E-04 5.8367E-04 1.3860E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1909E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5322E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1493E-05 8.2873E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8067E-03 3.8300E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5962E-04 1.0305E-02 4.0420E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6667E-04 3.8357E-04 1.9848E-01 1.8977E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8114E-04 3.8388E-04 5.0030E-02 3.9250E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6070E-04 6.2100E-03 1.3002E-03 9.6420E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6742E-04 9.6442E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3625E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6147E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5453E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6925E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6498E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2394E-04 1.6445E-03 2.7284E-03 2.4657E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7308E-03 5.0158E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9403E-04 0.0000E+00 4.9308E-04 5.5649E-02 3.2560E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5532E-04 1.5346E-02 8.0997E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7580E-03 2.9837E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0201E-03 1.0714E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0266E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.3442E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0286E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4328E-05 0.0000E+00 6.5898E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4428E-05 0.0000E+00 0.0000E+00 9.8516E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9048E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6385E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0167E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6094E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1336E-02 0.0000E+00 0.0000E+00 0.0000E+00 2.2711E-04 0.0000E+00 2.2699E-04 0.0000E+00 1.1023E-03 3.7136E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7687E-03 8.5114E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9238E-04 6.1671E-03 0.0000E+00 0.0000E+00 0.0000E+00 5.6456E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9890E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8799E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7207E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6555E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8067E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0697E-06 1.5672E-05 1.5545E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0252E-05 3.9805E-05 2.1400E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2550E-06 0.0000E+00 1.3774E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7434E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5793E-04 5.0333E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6251E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.9142E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.7586E-02 0.0000E+00 0.0000E+00 0.0000E+00 1.0159E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3458E-03 6.4780E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1268E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6321E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0175E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9488E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3522E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8514E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3329E-02 0.0000E+00 4.1452E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2200E-04 3.9416E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9276E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6406E-03 5.7386E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7954E-04 0.0000E+00 1.7122E-04 0.0000E+00 1.0435E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6669E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6625E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6243E-07 8.2610E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8467E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1054E-04 5.4279E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.4647E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.4140E-04 3.2734E-04 5.6992E-05 5.4871E-05 0.0000E+00 1.0870E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.6502E-05 5.6980E-05 0.0000E+00 0.0000E+00 1.0774E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2709E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8906E-04 0.0000E+00 7.1178E-05 1.4328E-04 0.0000E+00 0.0000E+00 2.1721E-04 1.4444E-04 0.0000E+00 1.6741E-03 6.9050E-04 9.6905E-04 5.2085E-04 4.5305E-04 3.9289E-04 2.4408E-04 0.0000E+00 1.2787E-04 6.0807E-04 3.8078E-04 3.6508E-05 1.4735E-04 1.9017E-04 2.9386E-05 9.2410E-05 1.4352E-04 5.8401E-05 2.9162E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1906E-04 4.6166E-04 8.4391E-05 0.0000E+00 0.0000E+00 1.6333E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.1544E-03 1.1146E-03 6.8946E-04 1.4773E-04 2.2332E-04 8.1463E-05 3.5406E-04 0.0000E+00 8.4987E-05 6.1206E-04 3.3946E-04 2.3241E-04 3.5120E-05 1.2051E-04 4.1438E-05 0.0000E+00 0.0000E+00 2.0998E-05 2.1143E-05 2.1359E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1428E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7249E-04 5.7685E-04 9.2297E-05 0.0000E+00 9.1799E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4991E-03 8.4198E-04 7.5174E-04 1.0454E-04 9.6396E-05 1.1664E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.0815E-04 1.7710E-04 7.0176E-05 4.0306E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0916E-05 2.3532E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9665E-04 9.5034E-05 1.3822E-04 6.9153E-05 6.6895E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8635E-03 1.4877E-03 9.5327E-04 4.0010E-04 1.0409E-04 1.7262E-04 2.7313E-04 0.0000E+00 0.0000E+00 5.4473E-04 2.3530E-04 1.1918E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4067E-05 1.7700E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7086E-03 2.0904E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0784E-02 3.2380E-03 5.7228E-04 7.7107E-04 1.8525E-05 4.4565E-04 2.5860E-04 0.0000E+00 0.0000E+00 1.1753E-03 6.9064E-04 1.5439E-04 4.2524E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1598E-04 0.0000E+00 4.2006E-05 2.5771E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3762E-03 9.3391E-04 1.8724E-04 0.0000E+00 9.3221E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7652E-02 4.8712E-03 2.7759E-03 1.8598E-03 1.0925E-03 1.0900E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.8077E-03 5.9659E-04 8.7345E-05 6.2613E-05 0.0000E+00 0.0000E+00 3.8965E-05 2.4265E-05 0.0000E+00 3.4819E-04 7.6358E-05 0.0000E+00 3.9181E-05 0.0000E+00 3.8995E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4376E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1015E-03 1.5691E-03 3.9561E-04 0.0000E+00 0.0000E+00 2.6482E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.5391E-02 9.0556E-03 2.8942E-03 1.4803E-03 3.0039E-04 1.4144E-04 2.0824E-04 0.0000E+00 0.0000E+00 4.5210E-03 1.0247E-03 3.3863E-04 3.4753E-04 3.4006E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.8991E-04 1.0710E-04 8.6939E-05 5.4546E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3063E-02 1.5531E-03 9.9788E-04 2.0488E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7590E-01 2.1658E-02 6.1806E-03 1.7055E-03 9.0149E-04 5.8657E-04 1.0422E-04 0.0000E+00 0.0000E+00 1.5802E-02 2.1460E-03 7.4093E-04 4.6013E-04 0.0000E+00 2.6341E-05 2.5548E-05 0.0000E+00 0.0000E+00 4.1355E-03 2.9030E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2311E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6436E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6241E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8591E-02 6.8028E-03 1.3248E-03 2.5959E-04 4.4308E-04 0.0000E+00 8.5012E-05 1.7628E-04 0.0000E+00 3.2542E-01 4.9590E-02 9.2319E-03 3.3402E-03 1.9969E-03 4.3689E-04 3.5611E-05 1.3987E-04 1.7586E-04 5.1110E-02 4.8913E-03 1.7587E-03 5.0533E-04 8.9388E-05 5.8862E-05 2.6267E-04 4.3734E-05 0.0000E+00 6.3856E-03 1.4009E-03 1.0394E-04 2.1518E-05 2.2452E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7056E-04 3.6948E-05 0.0000E+00 3.5693E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9148E-05 3.6900E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.2589E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9513E-02 2.3588E-02 1.9041E-03 9.6734E-04 4.7759E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0786E-01 1.9757E-01 2.2717E-02 6.5655E-03 9.6942E-04 5.2222E-04 4.7694E-04 4.7903E-04 1.2202E-04 5.5945E-02 1.9570E-02 2.4832E-03 5.6544E-04 5.2733E-04 3.1662E-04 0.0000E+00 1.7086E-04 7.9112E-05 4.1134E-03 3.7576E-03 5.3997E-04 9.8066E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8698E-04 7.9823E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1241E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0652E-04 1.0350E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9746E-03 4.0530E-02 6.2458E-03 8.5000E-04 4.2854E-04 1.0375E-04 0.0000E+00 3.2026E-04 2.1967E-04 3.5547E-02 3.2499E-01 5.6842E-02 1.2035E-02 3.2914E-03 2.8506E-04 4.5821E-04 2.3805E-04 4.5026E-05 2.1781E-02 5.3271E-02 5.8802E-03 1.2305E-03 3.6286E-04 5.2693E-05 0.0000E+00 7.1762E-05 4.3012E-05 5.9710E-04 5.8075E-03 1.5474E-03 2.0244E-04 1.4119E-04 1.4899E-05 0.0000E+00 0.0000E+00 3.4149E-05 0.0000E+00 7.4223E-04 3.7454E-04 5.2818E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6932E-04 4.4687E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3470E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5929E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4002E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2940E-03 2.6139E-02 2.3080E-02 2.6489E-03 1.3134E-03 5.5352E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.7699E-03 1.9313E-01 2.0572E-01 2.5704E-02 3.7866E-03 1.6263E-03 4.8412E-04 5.3829E-04 0.0000E+00 2.8690E-03 5.6780E-02 2.0147E-02 2.5798E-03 4.7931E-04 3.0040E-04 3.6516E-05 5.7721E-05 0.0000E+00 9.3416E-05 2.9586E-03 5.3046E-03 3.9691E-04 9.3303E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0703E-04 8.4527E-04 1.2944E-04 5.7617E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3576E-05 1.6507E-04 5.7646E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2687E-04 8.0124E-04 5.2075E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0294E-04 5.7754E-03 4.1054E-02 3.7911E-03 1.8294E-03 6.4914E-04 3.7860E-04 0.0000E+00 0.0000E+00 2.2370E-03 4.3620E-02 3.3007E-01 5.7711E-02 7.6231E-03 1.9721E-03 1.0294E-03 1.9589E-04 1.6092E-04 9.9236E-04 2.1357E-02 5.2209E-02 6.2597E-03 1.2692E-03 1.8342E-04 0.0000E+00 2.2387E-04 5.2045E-05 1.0470E-04 7.2553E-04 6.5832E-03 1.9841E-03 2.5751E-04 8.5865E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3997E-04 5.3075E-04 6.7485E-04 5.2377E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2497E-05 1.5035E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2894E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.3925E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9217E-04 2.7409E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1948E-04 2.1548E-03 2.9391E-02 1.8124E-02 1.1151E-03 4.3061E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.2224E-04 8.6708E-03 2.1817E-01 1.9888E-01 1.3843E-02 2.9479E-03 1.6749E-03 6.3364E-04 1.7838E-04 2.0411E-04 3.2373E-03 5.2586E-02 1.9947E-02 1.5694E-03 7.7006E-04 4.3346E-04 9.3225E-05 0.0000E+00 1.1619E-04 2.2736E-04 3.1960E-03 5.3792E-03 2.4584E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0895E-04 2.5052E-04 6.4184E-04 1.7514E-04 0.0000E+00 5.8089E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8041E-05 5.6226E-05 1.6799E-04 1.3059E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3117E-04 1.1095E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7193E-04 5.4712E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6711E-04 8.4743E-03 3.4652E-02 5.1051E-03 1.3246E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.3809E-04 3.0502E-03 5.9144E-02 3.4530E-01 2.8875E-02 6.4947E-03 7.0450E-04 1.0968E-03 7.8126E-04 0.0000E+00 1.6362E-03 2.8660E-02 5.0132E-02 4.0130E-03 6.7186E-04 3.0742E-04 3.9713E-04 3.6425E-05 4.3693E-05 0.0000E+00 9.2639E-04 5.7353E-03 1.4527E-03 1.5347E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1251E-04 2.3964E-04 0.0000E+00 0.0000E+00 6.9682E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7490E-05 6.8801E-05 2.8626E-04 1.3809E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6347E-04 4.4104E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3246E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8889E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9640E-04 3.6758E-04 3.6735E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3202E-04 1.5772E-03 3.9793E-02 1.2389E-02 1.4962E-03 3.9589E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0365E-03 1.2272E-02 3.3619E-01 7.8214E-02 1.1663E-02 4.5599E-03 9.9792E-04 4.9905E-05 4.9385E-05 1.4838E-04 6.9223E-03 6.1054E-02 7.5615E-03 1.7674E-03 2.2235E-04 1.2620E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.3715E-04 5.1278E-03 4.1843E-03 5.3024E-04 1.7623E-04 5.0949E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.0195E-05 4.7726E-04 5.7735E-04 3.2773E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5413E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9204E-05 7.2841E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1378E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 2.0969E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3983E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0633E-04 1.0414E-03 1.6272E-02 2.9329E-02 3.7813E-03 1.2483E-03 6.3222E-04 0.0000E+00 5.1577E-04 1.0986E-03 3.8066E-03 2.2046E-01 1.9291E-01 2.5066E-02 4.1816E-03 2.6612E-03 1.2513E-03 5.2988E-05 1.9346E-04 1.4733E-03 5.1300E-02 2.4450E-02 3.6323E-03 5.7633E-04 3.6765E-04 0.0000E+00 5.1723E-05 0.0000E+00 1.8756E-04 1.7141E-03 7.0082E-03 8.7566E-04 1.0590E-04 1.3886E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0465E-04 1.2948E-03 3.2422E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0501E-04 4.0193E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7198E-04 0.0000E+00 5.3288E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2243E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.7533E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3512E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6898E-04 7.0692E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3659E-04 2.4233E-04 2.3934E-04 6.1290E-03 3.6376E-02 4.4739E-03 4.8290E-04 9.5300E-04 0.0000E+00 2.4564E-04 7.9474E-04 5.1057E-03 7.7451E-02 2.9184E-01 4.6126E-02 7.6722E-03 3.3304E-03 1.0023E-03 9.7431E-05 1.2256E-04 8.0699E-04 2.7751E-02 4.8393E-02 6.8377E-03 1.5309E-03 5.7195E-04 9.3838E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.2407E-04 6.1379E-03 2.3425E-03 2.8724E-04 6.2286E-05 0.0000E+00 0.0000E+00 5.9292E-05 0.0000E+00 0.0000E+00 2.1805E-04 5.0160E-04 1.5682E-04 5.9303E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7411E-05 0.0000E+00 4.1285E-04 3.3076E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6134E-05 0.0000E+00 0.0000E+00 9.6916E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1972E-05 1.2496E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2340E-05 8.0586E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4551E-04 2.4967E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9980E-04 2.5925E-03 3.3422E-02 1.1688E-02 3.5891E-03 1.0084E-03 2.5358E-04 0.0000E+00 2.5381E-04 1.0327E-03 2.2529E-02 2.9524E-01 1.1172E-01 1.1634E-02 4.4662E-03 5.6155E-04 0.0000E+00 1.2581E-04 1.7392E-04 6.7764E-03 5.0673E-02 1.4922E-02 1.9509E-03 9.0402E-04 3.9910E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.3172E-04 4.9887E-03 4.0592E-03 2.7270E-04 1.2780E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0306E-04 0.0000E+00 3.7902E-04 6.5070E-04 2.7626E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3324E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.6161E-04 1.0461E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0763E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6604E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0453E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 2.8975E-04 2.8989E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9114E-04 8.4161E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4860E-04 2.3113E-02 1.9482E-02 3.3546E-03 8.3336E-04 0.0000E+00 0.0000E+00 1.0947E-04 7.0322E-04 1.0548E-02 1.7353E-01 2.1460E-01 1.9199E-02 6.5878E-03 9.2003E-04 0.0000E+00 7.5213E-05 9.8173E-04 2.4158E-03 4.1364E-02 3.4718E-02 2.6114E-03 1.7483E-03 1.8835E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.2174E-05 1.4465E-03 7.1080E-03 4.6659E-04 1.4835E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1336E-04 1.0993E-04 2.6005E-04 1.8945E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0033E-04 3.4017E-04 0.0000E+00 7.5672E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0957E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2790E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1175E-04 0.0000E+00 1.1213E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3320E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8627E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2603E-04 0.0000E+00 6.2618E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5321E-04 8.4599E-03 3.0398E-02 8.7549E-03 9.8760E-04 6.5921E-04 0.0000E+00 0.0000E+00 9.3202E-04 9.8492E-03 8.1851E-02 2.9656E-01 4.1073E-02 7.3127E-03 2.1999E-03 0.0000E+00 0.0000E+00 4.2692E-04 8.1893E-04 2.1893E-02 5.1379E-02 3.6303E-03 1.3572E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.2647E-04 0.0000E+00 1.0871E-03 6.9754E-03 2.2348E-03 8.4520E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8219E-04 2.9651E-04 5.5965E-04 2.2329E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2254E-05 8.1920E-05 8.2759E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4538E-05 0.0000E+00 0.0000E+00 1.2884E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4152E-05 8.2262E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0208E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3602E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4406E-04 0.0000E+00 0.0000E+00 6.7349E-04 3.4754E-03 1.8460E-02 1.7299E-02 3.6969E-03 1.0223E-03 0.0000E+00 8.8826E-05 3.4761E-04 4.9550E-03 3.1646E-02 3.1095E-01 8.4457E-02 1.8457E-02 1.2492E-03 0.0000E+00 0.0000E+00 2.2453E-04 1.0692E-03 9.1902E-03 5.1568E-02 1.3172E-02 1.3943E-03 5.2315E-04 8.5222E-05 8.6481E-05 0.0000E+00 0.0000E+00 4.9522E-04 5.6144E-03 2.5307E-03 4.0096E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5609E-05 8.7014E-05 2.2020E-04 7.2532E-04 4.3455E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3913E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5739E-05 0.0000E+00 1.7517E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5315E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8968E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3775E-05 3.9456E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0460E-06 3.9138E-05 1.1496E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3058E-05 1.2123E-04 1.1496E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2377E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6146E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5470E-04 3.6176E-04 0.0000E+00 7.1748E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6924E-04 1.4754E-03 2.0904E-02 2.7265E-02 7.7902E-03 3.6169E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.1980E-03 1.4692E-02 2.5216E-01 1.4583E-01 2.3904E-02 4.6548E-03 0.0000E+00 0.0000E+00 0.0000E+00 3.3861E-04 2.3856E-03 4.0915E-02 1.8959E-02 2.9759E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7658E-03 4.7544E-03 1.2873E-03 2.4738E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0708E-05 0.0000E+00 7.4427E-04 1.5927E-04 0.0000E+00 8.9476E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2101E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5777E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5338E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0202E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 3.9843E-04 4.0496E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.8106E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7960E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3955E-03 2.8701E-02 6.7496E-03 3.9628E-04 0.0000E+00 0.0000E+00 8.2200E-04 5.1980E-04 7.9077E-03 1.3274E-01 2.2449E-01 4.2836E-02 3.1159E-03 0.0000E+00 0.0000E+00 0.0000E+00 4.7029E-04 1.8865E-03 3.7420E-02 3.9186E-02 9.7183E-03 5.7481E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0396E-04 1.4234E-03 8.7655E-03 1.0219E-03 4.7197E-04 1.8595E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8390E-04 7.5515E-04 9.4717E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7986E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0117E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0144E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0543E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8595E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 4.6206E-04 9.5816E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6379E-05 1.1939E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2290E-04 4.0380E-03 2.8407E-02 1.4750E-02 4.4601E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.8384E-04 3.8142E-03 4.9360E-02 2.7879E-01 9.1418E-02 7.0764E-03 0.0000E+00 0.0000E+00 0.0000E+00 2.6542E-04 9.8692E-04 1.2988E-02 4.9988E-02 1.6292E-02 6.5871E-04 9.3109E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.0551E-05 5.3852E-04 3.7027E-03 3.4226E-03 5.4958E-04 1.1321E-04 9.2492E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.5373E-05 3.2419E-04 9.4241E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1095E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7954E-05 0.0000E+00 1.3984E-04 9.4441E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4473E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8835E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7624E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8482E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1971E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0809E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0838E-04 0.0000E+00 2.6878E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.6938E-04 0.0000E+00 4.7242E-04 1.7353E-02 3.5178E-02 1.3348E-03 0.0000E+00 0.0000E+00 0.0000E+00 6.8757E-05 2.0687E-03 8.2635E-03 1.6594E-01 2.4574E-01 1.3393E-02 1.0864E-04 0.0000E+00 0.0000E+00 1.7724E-04 3.8663E-04 3.5697E-03 3.6153E-02 3.6126E-02 1.5200E-03 1.0627E-04 0.0000E+00 0.0000E+00 6.9197E-05 6.7997E-05 0.0000E+00 1.9200E-03 5.8448E-03 1.5445E-03 1.0878E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1790E-04 1.0120E-03 2.4688E-04 2.1491E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9055E-05 0.0000E+00 0.0000E+00 3.9331E-04 2.0429E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7267E-05 1.7457E-04 0.0000E+00 6.7276E-05 1.0567E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9275E-05 6.8140E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9139E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0175E-05 5.8060E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5666E-04 4.5444E-04 0.0000E+00 4.1962E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5609E-05 1.2649E-03 1.2619E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1844E-03 4.4515E-02 3.4276E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.4222E-04 7.3759E-04 4.1882E-03 4.2517E-02 3.4729E-01 3.4293E-02 0.0000E+00 0.0000E+00 0.0000E+00 5.5231E-05 5.5624E-05 9.4684E-04 9.6816E-03 6.5220E-02 4.6013E-03 0.0000E+00 5.2855E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7081E-04 4.3721E-03 2.9269E-03 3.7719E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1007E-04 4.9866E-04 5.1021E-04 1.0951E-04 1.4251E-04 0.0000E+00 5.4945E-05 0.0000E+00 8.8912E-05 0.0000E+00 0.0000E+00 2.2715E-04 5.3639E-05 5.5323E-05 5.5005E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3226E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5466E-05 5.4942E-05 5.5049E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0169E-06 4.9707E-06 0.0000E+00 0.0000E+00 1.7580E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5596E-05 4.9540E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3872E-06 7.2709E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0729E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3834E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3301E-04 0.0000E+00 0.0000E+00 3.0104E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1397E-04 1.3133E-03 2.0976E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6796E-04 5.3419E-04 0.0000E+00 3.5035E-02 9.2304E-03 1.0951E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.4449E-04 1.1583E-03 2.7614E-03 3.4255E-01 9.2226E-02 0.0000E+00 0.0000E+00 0.0000E+00 1.0652E-04 0.0000E+00 8.9508E-04 8.6924E-04 6.5240E-02 9.8156E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6844E-05 1.1412E-03 6.4981E-03 7.1783E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7284E-04 3.5036E-04 3.9153E-04 6.8602E-05 0.0000E+00 6.7852E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7410E-04 0.0000E+00 0.0000E+00 1.0913E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0590E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7682E-04 0.0000E+00 1.0854E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7309E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1398E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0875E-04 0.0000E+00 1.0719E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0341E-06 2.5545E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9138E-06 2.5150E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6044E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6433E-04 2.5937E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1076E-04 1.7824E-02 3.0588E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0441E-03 4.8770E-04 1.5341E-01 2.6212E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3850E-05 4.2725E-04 3.3183E-02 3.9940E-02 0.0000E+00 0.0000E+00 0.0000E+00 6.5393E-05 0.0000E+00 0.0000E+00 6.3832E-05 0.0000E+00 5.4224E-03 2.6461E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0623E-04 0.0000E+00 2.1261E-04 4.0492E-04 1.7237E-04 1.6886E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4773E-05 1.0204E-04 2.9852E-04 2.7812E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0608E-04 6.6358E-05 1.0685E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9013E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8989E-05 0.0000E+00 5.4379E-06 0.0000E+00 5.8629E-06 6.3973E-05 0.0000E+00 5.7926E-06 0.0000E+00 0.0000E+00 0.0000E+00 5.7460E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6309E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5571E-05 3.2224E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1735E-05 6.1583E-04 5.0729E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0975E-04 2.6973E-03 0.0000E+00 2.5035E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6232E-03 5.0401E-02 0.0000E+00 1.0060E-04 0.0000E+00 0.0000E+00 6.1855E-05 2.5009E-04 1.6380E-04 1.5658E-02 4.0826E-01 1.2336E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3532E-05 2.2855E-04 3.3572E-03 7.4937E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7175E-03 5.1975E-03 3.7601E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9425E-04 2.3125E-04 0.0000E+00 1.0141E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6940E-04 0.0000E+00 1.0397E-04 0.0000E+00 1.2582E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0149E-04 0.0000E+00 6.3875E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6320E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6267E-06 0.0000E+00 0.0000E+00 0.0000E+00 6.1642E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4200E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8281E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0492E-04 5.5966E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4239E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6215E-04 4.4417E-02 0.0000E+00 1.8941E-04 5.0285E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8787E-05 4.3441E-01 0.0000E+00 0.0000E+00 0.0000E+00 6.9323E-05 0.0000E+00 6.7240E-05 0.0000E+00 0.0000E+00 7.2027E-02 0.0000E+00 6.8372E-05 6.6533E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0692E-04 6.8432E-03 6.9285E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0588E-03 1.0529E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0503E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.7979E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6138E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7621E-05 6.6821E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3374E-06 0.0000E+00 2.3712E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6887E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4323E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6001E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4148E-02 0.0000E+00 0.0000E+00 1.6567E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1450E-01 0.0000E+00 0.0000E+00 1.0207E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0448E-02 1.7113E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6996E-03 1.0431E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0497E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8948E-05 0.0000E+00 0.0000E+00 3.8331E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1051E-04 1.0276E-04 6.5812E-05 1.0521E-04 0.0000E+00 0.0000E+00 6.6701E-05 2.2625E-05 6.6092E-05 1.7116E-04 0.0000E+00 6.6804E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8061E-04 1.1269E-04 8.6229E-05 1.5425E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2530E-03 6.2784E-04 5.5432E-04 5.4536E-04 2.0007E-04 7.1283E-05 1.5187E-04 2.9453E-04 2.4934E-04 1.3001E-03 7.3960E-04 3.9832E-04 1.1395E-04 0.0000E+00 8.4979E-05 4.3292E-05 0.0000E+00 0.0000E+00 1.1144E-04 7.1314E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4844E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6914E-04 6.1153E-04 0.0000E+00 3.1733E-05 5.2062E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1074E-03 1.7357E-03 1.0212E-03 3.9394E-04 1.8123E-04 1.1342E-04 1.4576E-04 2.2222E-04 2.8115E-05 9.2882E-04 8.2640E-04 1.3855E-04 3.0282E-04 2.6553E-04 1.3843E-04 1.0586E-04 0.0000E+00 0.0000E+00 8.5222E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3181E-03 4.0487E-04 1.3205E-04 0.0000E+00 0.0000E+00 6.2882E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.6899E-03 1.9160E-03 4.9345E-04 3.1328E-04 2.2668E-04 0.0000E+00 6.0527E-05 6.1315E-05 0.0000E+00 4.8092E-03 8.7248E-04 3.3842E-04 2.5678E-04 3.7788E-05 6.3199E-05 0.0000E+00 0.0000E+00 6.2598E-05 0.0000E+00 6.2132E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4506E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3007E-03 7.2863E-04 1.1532E-04 4.4740E-05 4.4434E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2681E-02 2.9347E-03 1.1272E-03 5.5641E-04 4.3099E-05 4.3977E-05 4.4567E-05 1.1487E-04 0.0000E+00 1.5465E-02 1.7614E-03 5.9115E-04 3.5734E-04 4.4096E-05 7.0684E-05 4.4542E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4166E-03 8.6704E-04 2.2068E-04 4.2920E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1361E-02 5.4987E-03 1.5476E-03 5.0028E-04 1.7058E-04 3.7677E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.7808E-02 2.3580E-03 8.3598E-04 3.9822E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0393E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8100E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0324E-02 2.3679E-03 5.8821E-04 2.7991E-04 3.6746E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7996E-02 8.3924E-03 2.7798E-03 7.2320E-04 2.8563E-04 2.8288E-04 5.8948E-05 5.8203E-05 0.0000E+00 7.6941E-02 6.7436E-03 1.5110E-03 6.2459E-04 2.8884E-04 3.6446E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4761E-04 1.3145E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5226E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0993E-04 0.0000E+00 3.2651E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5659E-02 2.8970E-03 3.9978E-04 2.1728E-04 2.9249E-05 6.5235E-05 0.0000E+00 6.1898E-05 4.8297E-05 1.8437E-01 1.9120E-02 4.3705E-03 1.3923E-03 4.1856E-04 3.9687E-04 3.1252E-04 6.7071E-05 2.8831E-04 7.1642E-02 2.5129E-02 3.5753E-03 5.0279E-04 1.2496E-04 4.2726E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9352E-04 1.5358E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8070E-04 4.3333E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7162E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1724E-02 9.0764E-03 1.7738E-03 4.1793E-04 1.3197E-04 5.7635E-05 2.6049E-05 0.0000E+00 0.0000E+00 3.2776E-01 4.6949E-02 9.5348E-03 3.5317E-03 5.1894E-04 7.5027E-04 3.6460E-05 1.2989E-04 3.5021E-04 2.2440E-02 6.6973E-02 7.3587E-03 1.7502E-03 1.1003E-04 9.3473E-05 5.8159E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7257E-03 3.9682E-04 7.4131E-05 5.6332E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8763E-04 3.6770E-05 0.0000E+00 5.7849E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8146E-04 4.2593E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0808E-02 3.4260E-02 4.3538E-03 1.1034E-03 4.9889E-04 0.0000E+00 0.0000E+00 4.3099E-05 0.0000E+00 2.0856E-01 1.8755E-01 2.0609E-02 5.6335E-03 1.7815E-03 4.1565E-04 4.1240E-04 6.8629E-05 4.3045E-05 3.6610E-03 6.4799E-02 2.8147E-02 2.5591E-03 5.9364E-04 3.2411E-04 8.5007E-05 6.7613E-05 0.0000E+00 0.0000E+00 4.7292E-03 1.5335E-03 1.5225E-04 6.8052E-05 6.7045E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8818E-04 4.9951E-04 4.1031E-05 0.0000E+00 4.1050E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7134E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6793E-04 6.1277E-04 0.0000E+00 1.9223E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9843E-03 4.4648E-02 9.3713E-03 1.6495E-03 1.2413E-04 2.0382E-04 4.8042E-05 0.0000E+00 0.0000E+00 3.8610E-02 3.2803E-01 5.1363E-02 8.6724E-03 1.3775E-03 6.6610E-04 3.4638E-04 2.9707E-04 4.8876E-05 1.4056E-03 2.0385E-02 6.7278E-02 6.5046E-03 1.4458E-03 4.1162E-04 2.0517E-04 4.8663E-05 4.8776E-05 0.0000E+00 1.3664E-03 4.0325E-03 7.7624E-04 7.8595E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5598E-04 7.7466E-04 1.2575E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5575E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5254E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3227E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1984E-04 2.1037E-02 2.8733E-02 3.3116E-03 1.2610E-03 4.5437E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.8795E-03 2.2257E-01 1.7618E-01 1.8960E-02 3.5644E-03 1.4065E-03 2.9665E-04 6.6282E-04 0.0000E+00 5.1190E-04 4.9413E-03 6.6653E-02 2.4794E-02 3.0083E-03 1.2376E-03 3.9158E-04 0.0000E+00 0.0000E+00 2.1662E-04 3.3017E-04 3.9899E-03 1.1590E-03 1.4163E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3949E-05 1.6808E-04 3.4343E-04 4.5336E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8808E-04 0.0000E+00 7.0504E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0610E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9237E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9347E-04 1.1199E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2030E-04 3.3660E-03 3.8635E-02 1.0445E-02 1.8833E-03 4.5823E-04 1.1254E-04 1.0188E-04 0.0000E+00 2.6148E-03 3.6332E-02 3.2379E-01 5.4420E-02 7.4156E-03 2.7285E-03 2.8418E-04 6.5132E-04 2.2015E-04 1.0975E-04 1.2778E-03 2.2529E-02 6.7195E-02 7.5231E-03 1.1318E-03 6.9109E-05 1.1041E-04 9.4262E-05 0.0000E+00 8.5001E-05 1.4204E-03 5.2930E-03 5.5134E-04 8.7120E-05 4.3630E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5366E-04 3.5619E-04 4.9926E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3778E-05 6.6903E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2511E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6951E-03 2.2982E-02 3.0143E-02 3.6516E-03 6.4032E-04 0.0000E+00 1.7799E-04 0.0000E+00 8.1577E-04 8.5514E-03 2.6574E-01 1.3584E-01 1.1047E-02 4.1162E-03 9.4323E-04 5.8315E-04 1.1499E-04 1.1567E-04 2.8867E-04 5.5226E-03 7.1215E-02 1.7478E-02 1.8180E-03 5.1597E-04 0.0000E+00 1.1595E-04 1.5023E-04 2.3080E-04 5.1528E-04 4.0892E-03 1.9277E-03 1.1649E-04 2.2966E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7669E-04 0.0000E+00 1.1560E-04 9.4593E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0863E-04 1.7930E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4199E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9564E-04 0.0000E+00 1.1810E-02 3.8101E-02 3.9410E-03 7.5535E-04 2.0309E-04 0.0000E+00 0.0000E+00 9.5099E-04 3.8306E-03 1.7284E-01 2.3657E-01 1.7575E-02 3.8409E-03 6.3949E-04 8.1732E-04 3.7991E-04 0.0000E+00 3.9521E-04 2.2885E-03 6.3219E-02 3.1037E-02 2.3145E-03 3.6313E-04 1.9509E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.8639E-04 3.1924E-03 2.5950E-03 5.0122E-04 1.2208E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8926E-04 0.0000E+00 0.0000E+00 1.1625E-03 1.2185E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9120E-04 1.2115E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9554E-04 1.2300E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9329E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 1.0965E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1426E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6273E-04 0.0000E+00 7.9768E-04 1.0612E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0751E-04 6.2673E-05 6.5031E-03 4.2483E-02 6.0888E-03 9.8327E-04 1.7358E-04 1.3585E-04 0.0000E+00 8.4780E-04 2.3361E-03 5.9101E-02 3.2196E-01 2.9050E-02 5.6247E-03 1.9624E-03 1.1653E-03 3.9135E-04 1.7641E-04 3.4016E-04 1.3336E-03 3.4306E-02 5.7002E-02 5.2570E-03 9.1841E-04 4.8880E-04 6.8452E-05 1.0828E-04 0.0000E+00 1.7772E-04 8.4497E-04 4.9696E-03 3.1457E-04 6.7960E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1732E-04 1.3108E-03 1.7686E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8552E-04 6.8521E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6832E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8783E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0637E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5784E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5663E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2521E-05 1.2576E-03 4.3629E-02 1.0039E-02 1.7122E-03 3.6102E-04 0.0000E+00 0.0000E+00 3.4830E-04 1.1808E-03 1.3963E-02 3.2475E-01 7.7092E-02 1.0093E-02 2.6080E-03 9.9280E-04 5.5532E-04 7.4510E-05 1.2035E-04 1.9558E-04 1.1078E-02 7.2732E-02 1.1769E-02 1.2771E-03 1.0077E-03 7.2394E-05 1.2165E-04 0.0000E+00 0.0000E+00 8.1692E-04 4.2604E-03 1.3596E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2073E-04 2.6909E-04 2.8846E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2021E-04 1.1955E-04 1.9691E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2127E-04 7.4723E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4193E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3176E-04 9.4251E-04 0.0000E+00 0.0000E+00 8.3673E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.4278E-05 7.6714E-04 2.1527E-02 2.6210E-02 2.7471E-03 3.4899E-04 5.0499E-04 0.0000E+00 2.5005E-04 6.2856E-04 5.5752E-03 2.0540E-01 1.8922E-01 2.2922E-02 4.9341E-03 1.7309E-03 2.5395E-04 0.0000E+00 0.0000E+00 3.9836E-04 2.2917E-03 6.2510E-02 2.9491E-02 3.1433E-03 3.8114E-04 3.8438E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.1422E-04 4.2670E-03 3.1056E-03 6.5652E-04 1.6522E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6691E-04 4.6430E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4828E-05 1.2973E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1190E-04 2.6378E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1696E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7488E-04 8.2486E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4226E-04 0.0000E+00 1.4060E-04 2.8896E-04 3.6398E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3461E-04 1.4223E-04 7.4955E-03 3.5842E-02 6.1632E-03 5.4898E-04 1.8014E-04 1.4578E-04 2.3641E-04 0.0000E+00 2.3378E-03 8.0061E-02 2.9815E-01 4.3824E-02 6.8417E-03 2.9062E-03 4.2682E-04 0.0000E+00 9.2425E-05 2.7566E-04 9.2530E-04 2.9413E-02 6.0636E-02 3.7102E-03 8.2511E-04 2.9905E-04 9.2414E-05 9.2303E-05 0.0000E+00 2.3784E-04 1.4713E-03 4.2877E-03 5.4130E-04 9.0393E-05 9.1782E-05 0.0000E+00 0.0000E+00 1.4608E-04 0.0000E+00 0.0000E+00 8.9273E-05 4.2437E-04 4.7031E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9703E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4126E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4134E-04 9.1955E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8765E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2922E-05 2.4441E-05 8.4027E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2683E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6080E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4093E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9941E-03 3.2447E-02 1.0828E-02 2.0134E-03 1.6575E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.8405E-04 2.2513E-02 2.7985E-01 1.0655E-01 1.1243E-02 5.8442E-03 5.3173E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2928E-03 1.2934E-02 8.1743E-02 6.7912E-03 1.4378E-03 7.9780E-04 9.9230E-05 0.0000E+00 0.0000E+00 9.9481E-05 4.0662E-04 2.4810E-03 2.1586E-03 2.6529E-04 0.0000E+00 1.0194E-04 0.0000E+00 0.0000E+00 1.0041E-04 0.0000E+00 1.6356E-04 4.3253E-04 4.3128E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8259E-04 1.6636E-04 1.6588E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0316E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1530E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3339E-04 0.0000E+00 0.0000E+00 1.7682E-04 1.7368E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0634E-04 1.7507E-04 9.7207E-04 2.2834E-02 2.5115E-02 1.1735E-03 1.0632E-03 0.0000E+00 1.2095E-04 2.7944E-04 8.5062E-04 7.2620E-03 1.8492E-01 2.0977E-01 1.6180E-02 6.5176E-03 6.4135E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.7870E-04 2.6104E-03 6.6104E-02 2.2239E-02 2.9674E-03 6.0900E-04 0.0000E+00 1.0722E-04 0.0000E+00 0.0000E+00 2.8523E-04 2.6077E-03 2.8360E-03 5.7063E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0553E-04 0.0000E+00 1.7170E-04 1.7299E-04 6.1130E-04 5.7057E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7018E-04 0.0000E+00 1.6951E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6937E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8493E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8872E-05 1.6174E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7106E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3812E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0613E-04 3.1071E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1471E-03 1.2203E-02 3.2582E-02 3.3361E-03 1.5410E-03 0.0000E+00 1.2176E-04 3.1069E-04 4.3893E-04 6.9926E-03 7.7398E-02 2.9557E-01 3.6759E-02 9.4324E-03 8.0371E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.7619E-04 1.3732E-03 5.4981E-02 4.2908E-02 4.0055E-03 1.0370E-03 1.2376E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4042E-03 4.1372E-03 1.2378E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1860E-04 0.0000E+00 4.3520E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1250E-04 2.7036E-04 2.4565E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2206E-04 0.0000E+00 1.2432E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2450E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0922E-04 0.0000E+00 0.0000E+00 5.1284E-04 2.1009E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2888E-04 4.9221E-03 3.7810E-02 8.1099E-03 2.1838E-03 3.4178E-04 0.0000E+00 5.0119E-04 6.8371E-04 3.7248E-03 2.7187E-02 3.1286E-01 7.8025E-02 1.4671E-02 2.6432E-03 2.0683E-04 0.0000E+00 0.0000E+00 1.3112E-04 8.5891E-04 2.7103E-02 5.8594E-02 6.3351E-03 1.8215E-03 2.1080E-04 0.0000E+00 0.0000E+00 1.2709E-04 0.0000E+00 6.2105E-04 3.4062E-03 1.7832E-03 0.0000E+00 2.1393E-04 0.0000E+00 1.2625E-04 1.2843E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.4292E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3128E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3793E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5280E-05 2.3701E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4685E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3881E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3403E-04 4.7119E-04 1.9595E-03 3.0309E-02 1.6420E-02 4.1071E-03 0.0000E+00 9.0976E-05 0.0000E+00 1.5620E-04 1.4936E-03 1.4333E-02 2.5374E-01 1.4092E-01 2.3017E-02 1.0311E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.0916E-04 9.0330E-04 9.9777E-03 7.1574E-02 1.2039E-02 2.6115E-03 2.3764E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3839E-04 3.6679E-03 1.8960E-03 1.4089E-04 0.0000E+00 0.0000E+00 2.3389E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.3199E-04 7.5568E-04 2.3034E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4516E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3063E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6449E-04 1.4796E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3998E-04 3.8507E-04 2.5055E-02 2.2644E-02 4.4379E-03 4.7115E-04 0.0000E+00 0.0000E+00 6.1014E-04 2.2385E-03 7.8221E-03 1.5293E-01 2.2499E-01 4.4933E-02 1.7485E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9436E-04 4.2425E-03 5.8987E-02 2.5603E-02 4.2026E-03 3.0902E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3934E-04 1.5939E-03 3.2157E-03 1.1729E-03 0.0000E+00 0.0000E+00 2.3598E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3648E-04 3.9488E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3971E-04 1.4893E-04 2.3229E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5053E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4941E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5136E-05 2.7140E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9434E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5909E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6474E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2782E-04 9.4396E-04 1.0629E-02 3.0730E-02 8.8475E-03 6.6105E-04 1.6784E-04 0.0000E+00 1.6697E-04 1.3278E-03 4.0432E-03 7.0033E-02 2.8500E-01 6.8763E-02 3.7940E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8881E-04 2.3530E-03 3.8152E-02 4.3908E-02 6.9390E-03 2.6996E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5659E-04 2.0314E-03 5.3452E-03 1.5983E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5579E-04 0.0000E+00 9.2323E-04 8.5109E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4128E-04 1.6096E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3990E-05 1.1914E-04 1.5161E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8550E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7269E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1991E-04 1.3483E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8145E-04 4.5820E-03 3.8671E-02 1.0975E-02 6.2456E-04 0.0000E+00 0.0000E+00 1.7183E-04 6.1245E-04 3.9995E-03 3.2041E-02 2.6062E-01 1.1647E-01 6.2556E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8953E-04 2.1372E-03 1.9991E-02 5.7280E-02 1.3525E-02 1.3348E-03 0.0000E+00 0.0000E+00 2.1724E-04 0.0000E+00 0.0000E+00 5.6433E-04 6.5972E-03 3.3795E-04 1.7148E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4867E-04 1.6894E-04 2.7465E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7304E-04 2.8510E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7576E-04 1.7071E-04 0.0000E+00 1.7116E-04 2.8294E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4620E-06 3.0259E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3272E-05 2.2887E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3142E-04 1.5399E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3006E-04 1.6310E-03 2.2162E-02 2.8774E-02 7.6064E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.7905E-04 2.8210E-03 7.6428E-03 1.7348E-01 2.2842E-01 9.6210E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2310E-04 1.1310E-03 6.2738E-03 6.1177E-02 2.6079E-02 1.3755E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0956E-03 2.0334E-03 5.5262E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0104E-04 0.0000E+00 3.0337E-04 4.5707E-04 2.5954E-04 1.2297E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6068E-04 1.5226E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5545E-04 0.0000E+00 0.0000E+00 1.0248E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2071E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3041E-05 8.2859E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2981E-03 4.9827E-04 1.0287E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3281E-05 6.8564E-04 5.8788E-03 4.3751E-02 3.8733E-03 3.9489E-05 0.0000E+00 0.0000E+00 5.4902E-04 1.7787E-03 3.0870E-03 2.7521E-02 3.5200E-01 3.4726E-02 1.3441E-04 5.1789E-05 0.0000E+00 0.0000E+00 5.0665E-05 3.4293E-04 1.1486E-03 2.1223E-02 6.4477E-02 5.3832E-03 5.2556E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.2053E-05 1.1591E-04 1.0115E-03 4.4974E-03 1.7903E-03 1.0456E-04 0.0000E+00 8.1833E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8598E-04 5.9359E-04 1.3483E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2792E-04 8.3568E-05 5.7588E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7433E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2933E-06 0.0000E+00 0.0000E+00 0.0000E+00 5.2418E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.9484E-06 8.0021E-05 0.0000E+00 8.3164E-05 6.9717E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4792E-04 5.5229E-05 3.7230E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6346E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4946E-06 0.0000E+00 ; 2.5265E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6298E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2773E-04 2.6512E-04 1.5215E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6277E-04 2.5625E-03 2.2796E-04 6.3417E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.9653E-05 6.1279E-05 1.2826E-04 3.2421E-02 2.6829E-02 6.2637E-05 0.0000E+00 7.2660E-05 6.4008E-05 2.5455E-04 5.9742E-04 1.1195E-03 2.1849E-01 1.9321E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5277E-04 2.2743E-04 8.7692E-04 6.0037E-02 2.9439E-02 1.0001E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9956E-05 6.4945E-04 3.9903E-03 1.1506E-03 6.3146E-05 1.0356E-04 1.0361E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6233E-04 2.3074E-04 0.0000E+00 0.0000E+00 1.0032E-04 0.0000E+00 0.0000E+00 6.4081E-05 0.0000E+00 2.3211E-04 0.0000E+00 1.0361E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0365E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1789E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.6358E-04 0.0000E+00 1.0204E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3141E-06 4.2505E-05 6.5703E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5570E-06 8.2784E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0299E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4206E-06 0.0000E+00 0.0000E+00 1.5884E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6111E-04 1.3000E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3658E-04 6.1749E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3322E-04 2.8429E-03 8.8924E-05 8.8504E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6087E-03 5.2797E-02 0.0000E+00 2.1766E-04 2.3214E-04 5.8035E-05 0.0000E+00 5.8172E-05 1.1431E-04 1.0533E-02 4.0387E-01 5.8381E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8140E-05 0.0000E+00 5.0803E-03 8.6539E-02 8.9403E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.6226E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.5610E-03 3.6917E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1891E-04 1.7572E-04 8.9546E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9250E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4555E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7819E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6889E-05 0.0000E+00 7.3181E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0261E-04 7.2549E-06 4.4278E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.4822E-06 1.1854E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5092E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5192E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7501E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4186E-03 2.3480E-04 2.3262E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1806E-02 2.4183E-04 3.5291E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9574E-04 0.0000E+00 3.9801E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1060E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1835E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9432E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4932E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9761E-04 1.4831E-04 9.6745E-05 3.7022E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6535E-03 2.1572E-03 1.3945E-03 5.6493E-04 3.7541E-04 3.2931E-04 2.5481E-04 0.0000E+00 0.0000E+00 1.6931E-04 1.2563E-03 5.5565E-04 1.5963E-04 7.3666E-05 6.1510E-05 3.2772E-04 9.8886E-05 0.0000E+00 1.9789E-05 3.7234E-05 3.7503E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7540E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2896E-04 8.3656E-05 4.1911E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9905E-03 1.8587E-03 1.0106E-03 3.0388E-04 2.5059E-04 1.9135E-04 8.2521E-05 4.2029E-05 1.3119E-04 0.0000E+00 5.9190E-04 4.1021E-04 1.0904E-04 2.7487E-04 4.0793E-05 6.6376E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0950E-04 1.4846E-04 3.7641E-05 5.7416E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1699E-02 3.0148E-03 1.3461E-03 5.8958E-04 1.8260E-04 3.6170E-05 1.5122E-04 9.2322E-05 0.0000E+00 0.0000E+00 5.9000E-04 2.4177E-04 1.0680E-04 0.0000E+00 0.0000E+00 9.3542E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3165E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4395E-04 5.0554E-04 2.6858E-05 2.6648E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3589E-02 5.4884E-03 1.5768E-03 6.8180E-04 1.5479E-04 9.8147E-05 9.9391E-05 2.7753E-05 0.0000E+00 0.0000E+00 1.6203E-03 4.6736E-04 1.5837E-04 1.1604E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2436E-05 0.0000E+00 1.1552E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9691E-03 4.2124E-04 3.9073E-04 0.0000E+00 3.2777E-05 4.9815E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.6939E-01 1.3207E-02 3.2651E-03 5.8062E-04 5.1364E-04 1.4553E-04 7.8662E-05 6.3164E-05 0.0000E+00 0.0000E+00 5.1115E-03 6.6301E-04 9.7233E-05 1.9039E-04 8.1749E-05 5.1036E-05 0.0000E+00 0.0000E+00 2.4341E-05 0.0000E+00 2.6390E-04 6.5359E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7175E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8313E-03 6.8935E-04 1.5039E-04 1.1765E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.6500E-05 0.0000E+00 3.5163E-01 3.1259E-02 6.5751E-03 1.9256E-03 7.0885E-04 4.0400E-04 3.6953E-04 9.3980E-05 0.0000E+00 0.0000E+00 2.1308E-02 1.8275E-03 6.5518E-04 1.5214E-04 5.8409E-05 0.0000E+00 7.3785E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.5033E-03 9.5912E-05 3.6508E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4803E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6880E-02 2.0202E-03 5.0438E-04 9.6162E-05 7.3635E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.8111E-05 2.7511E-01 1.5799E-01 1.4584E-02 4.5699E-03 1.4570E-03 5.4478E-04 2.8326E-04 2.1295E-04 1.6039E-04 4.5264E-05 5.9071E-02 5.6672E-03 1.0388E-03 2.8667E-04 1.7980E-04 0.0000E+00 2.9392E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.9776E-03 1.9716E-04 5.8011E-05 4.4832E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4990E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9907E-04 4.4298E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7466E-05 0.0000E+00 3.4669E-02 4.5435E-03 8.4961E-04 3.8197E-04 2.2608E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9768E-02 3.5666E-01 4.2427E-02 7.5234E-03 2.5663E-03 1.0709E-03 3.0174E-04 1.0435E-04 1.3767E-04 6.9096E-05 5.0303E-02 2.8135E-02 2.8116E-03 4.4640E-04 1.5642E-04 6.9605E-05 4.4590E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.8206E-03 2.3508E-03 4.4498E-05 2.7956E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8113E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3464E-04 1.8215E-04 0.0000E+00 5.4567E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9914E-02 1.8863E-02 2.1939E-03 5.6610E-04 1.4705E-04 3.5122E-05 1.2507E-04 3.4919E-05 0.0000E+00 8.1961E-03 2.4830E-01 1.8446E-01 1.6894E-02 4.6689E-03 1.0845E-03 3.8851E-04 1.4655E-04 3.5136E-05 5.4690E-05 1.3460E-02 5.6212E-02 8.6685E-03 1.2270E-03 3.3963E-04 1.2500E-04 9.1084E-05 5.3629E-05 0.0000E+00 0.0000E+00 1.1154E-03 4.2293E-03 9.9954E-04 0.0000E+00 1.8218E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6018E-04 5.5485E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4034E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6222E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9116E-04 1.9166E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9404E-03 3.1099E-02 7.6205E-03 1.6892E-03 2.2144E-04 4.0840E-05 6.4386E-05 0.0000E+00 0.0000E+00 2.4713E-03 4.1315E-02 3.6205E-01 5.6702E-02 8.0655E-03 1.6278E-03 6.3904E-04 1.3517E-04 4.8308E-04 1.0686E-04 2.2642E-03 3.6930E-02 3.9400E-02 3.4646E-03 8.1038E-04 1.7418E-04 4.1151E-05 4.0599E-05 0.0000E+00 0.0000E+00 2.5114E-04 2.7319E-03 3.6825E-03 1.4902E-04 4.0200E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6217E-04 4.0626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7021E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4782E-05 5.9668E-04 2.7201E-04 7.4552E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6859E-04 1.5715E-02 2.2970E-02 2.4040E-03 5.2922E-04 9.4892E-05 9.5187E-05 1.1295E-04 0.0000E+00 1.3686E-03 5.2252E-03 2.2385E-01 2.0426E-01 1.8849E-02 4.4276E-03 1.2820E-03 5.5512E-04 1.9902E-04 9.6040E-05 5.4880E-04 7.2127E-03 6.0793E-02 8.3909E-03 7.8199E-04 2.4933E-04 9.5253E-05 5.9561E-05 0.0000E+00 0.0000E+00 4.7012E-05 3.5485E-04 5.1105E-03 2.3261E-03 0.0000E+00 7.7174E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6374E-04 4.2919E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0095E-04 4.6899E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7679E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3111E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8244E-05 3.0825E-04 2.4258E-04 6.1501E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9651E-05 2.4529E-03 3.0053E-02 7.0688E-03 8.2578E-04 1.4058E-04 3.9557E-05 3.9632E-05 0.0000E+00 4.3781E-04 1.8473E-03 4.1126E-02 3.5616E-01 6.1447E-02 7.5526E-03 1.7353E-03 8.1110E-04 8.5750E-05 6.1886E-05 2.1890E-04 1.2354E-03 3.3929E-02 4.3419E-02 1.9871E-03 4.1000E-04 3.2305E-04 3.9854E-05 6.4519E-05 0.0000E+00 0.0000E+00 1.0390E-04 1.8254E-03 4.2847E-03 2.4582E-04 6.4542E-05 3.9154E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5521E-04 1.2020E-03 2.0625E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4215E-04 7.9485E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9645E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3865E-05 2.9861E-04 1.3086E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7262E-04 1.6655E-02 2.3778E-02 1.7535E-03 5.0593E-04 3.3245E-04 0.0000E+00 0.0000E+00 3.6508E-04 5.4726E-04 5.9091E-03 2.2151E-01 2.1265E-01 1.9178E-02 2.5424E-03 7.2813E-04 6.7434E-04 0.0000E+00 6.5984E-05 7.5426E-04 7.0934E-03 6.1470E-02 6.2245E-03 8.3200E-04 1.6580E-04 1.0335E-04 0.0000E+00 0.0000E+00 1.0188E-04 0.0000E+00 3.5319E-05 5.3136E-03 9.3932E-04 1.6423E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0057E-04 1.7872E-03 2.3323E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6640E-04 1.6825E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6893E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8134E-04 7.1444E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0649E-05 5.2403E-04 5.4528E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6309E-05 4.7339E-04 5.1657E-03 3.1809E-02 4.6742E-03 1.0185E-03 6.2199E-05 0.0000E+00 0.0000E+00 2.4996E-04 7.7061E-04 3.4252E-03 6.7605E-02 3.5450E-01 3.4848E-02 4.6692E-03 1.6751E-03 3.1079E-04 0.0000E+00 0.0000E+00 1.0880E-04 1.5325E-03 5.0344E-02 2.2607E-02 3.2467E-03 6.1558E-04 1.8228E-04 7.1474E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.1115E-04 4.2533E-03 3.2443E-03 7.1024E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1229E-04 4.4338E-04 1.6115E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0907E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6639E-05 5.5736E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2112E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8296E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2659E-04 7.3229E-04 7.6636E-05 1.2545E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5502E-03 2.9729E-02 8.9015E-03 2.2434E-03 5.6881E-05 3.2925E-04 0.0000E+00 2.0525E-04 4.6812E-04 2.0873E-03 1.7197E-02 3.5079E-01 9.9038E-02 7.6999E-03 2.1308E-03 1.4158E-03 2.4749E-04 0.0000E+00 2.0003E-04 8.1885E-04 2.6997E-02 4.5521E-02 4.8402E-03 4.1182E-04 2.0388E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7420E-03 4.9756E-03 3.6550E-04 2.8461E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2680E-04 4.5389E-04 2.0557E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0688E-04 2.2997E-04 2.8542E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1770E-05 7.7890E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9872E-05 1.2755E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7056E-04 1.3657E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3722E-04 0.0000E+00 6.0606E-04 1.8253E-02 2.0888E-02 2.0551E-03 3.1114E-04 1.6976E-04 0.0000E+00 8.4263E-05 1.3748E-04 1.1571E-03 5.5471E-03 2.1728E-01 2.2446E-01 1.4141E-02 3.2591E-03 1.2939E-03 2.2251E-04 0.0000E+00 0.0000E+00 3.5628E-04 8.9530E-03 5.5166E-02 1.1154E-02 8.9048E-04 8.4070E-05 2.2322E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9817E-04 4.8635E-03 6.8270E-04 8.7478E-05 8.7628E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3878E-04 5.2903E-04 4.7469E-05 7.9889E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6957E-04 1.3419E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9937E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4311E-05 1.3857E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3687E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3773E-05 9.3678E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7186E-04 1.5548E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5766E-04 2.4602E-04 7.1676E-03 2.9718E-02 4.1628E-03 6.8064E-04 4.2572E-04 0.0000E+00 2.4342E-04 4.3351E-04 4.5610E-04 3.7974E-03 8.8113E-02 3.3426E-01 2.6973E-02 4.6310E-03 1.8253E-03 1.5703E-04 0.0000E+00 9.2708E-05 9.3858E-05 3.2678E-03 4.7862E-02 2.7121E-02 1.9131E-03 0.0000E+00 9.3451E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9735E-04 3.0787E-03 2.6676E-03 2.4952E-04 0.0000E+00 0.0000E+00 9.3285E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.1521E-04 1.0480E-03 9.0401E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1010E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5690E-04 1.8751E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0264E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0570E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6162E-04 2.0966E-04 1.5686E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0503E-04 2.0946E-04 1.4382E-03 2.7171E-02 9.7999E-03 6.8616E-04 4.1561E-04 0.0000E+00 1.6250E-04 0.0000E+00 4.7121E-04 1.7960E-03 2.7101E-02 3.6006E-01 6.2329E-02 8.7605E-03 2.6483E-03 2.6792E-04 1.5826E-04 0.0000E+00 1.0463E-04 5.4703E-04 2.1448E-02 5.1888E-02 3.5582E-03 3.7053E-04 1.0128E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.6221E-04 1.0384E-04 1.3669E-03 3.9011E-03 6.9718E-04 1.0610E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0211E-04 7.9986E-04 8.5363E-04 0.0000E+00 1.6241E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8445E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0588E-04 0.0000E+00 1.0570E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.5768E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.5642E-04 5.6344E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6604E-04 1.6184E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9058E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0809E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0996E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6154E-04 2.2423E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7583E-04 4.5472E-04 1.7704E-02 1.9211E-02 1.4440E-03 1.1946E-03 0.0000E+00 2.2471E-04 0.0000E+00 1.7812E-04 1.6086E-03 8.8883E-03 3.0919E-01 1.2798E-01 1.4415E-02 4.4804E-03 3.9522E-04 0.0000E+00 2.1783E-04 0.0000E+00 9.7948E-04 9.2719E-03 6.2157E-02 8.7643E-03 5.4709E-04 5.9212E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4572E-04 5.8495E-04 4.7396E-03 1.0534E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9108E-04 5.6925E-04 1.7498E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4971E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7069E-04 1.7736E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0785E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9921E-05 2.0223E-05 2.8679E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2104E-04 0.0000E+00 0.0000E+00 1.1678E-04 2.3480E-04 3.1643E-04 1.9848E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.1817E-04 0.0000E+00 2.3646E-04 8.1834E-03 2.8742E-02 3.2757E-03 1.2380E-03 0.0000E+00 1.9973E-04 1.1698E-04 2.3919E-04 1.5979E-03 5.2882E-03 2.0012E-01 2.2392E-01 2.5212E-02 4.4718E-03 6.3262E-04 1.2082E-04 0.0000E+00 0.0000E+00 3.1749E-04 3.3694E-03 5.1314E-02 1.8580E-02 3.2127E-04 7.6344E-04 1.2090E-04 1.2108E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.1252E-04 5.1668E-03 2.0703E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2069E-04 4.3872E-04 1.2007E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2080E-04 0.0000E+00 4.0051E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9576E-04 0.0000E+00 1.9890E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3563E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6229E-05 6.6345E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6362E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9372E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7176E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2752E-04 7.8884E-04 1.3784E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.0264E-05 1.1100E-04 3.5714E-04 2.9033E-03 3.0397E-02 9.4421E-03 1.2383E-03 0.0000E+00 6.8187E-05 2.4717E-04 0.0000E+00 6.5493E-04 2.9926E-03 6.0366E-02 3.2202E-01 6.8014E-02 1.1415E-02 1.2576E-03 1.1119E-04 0.0000E+00 1.0797E-04 4.5409E-04 1.1361E-03 3.1457E-02 4.3129E-02 3.0870E-03 1.1190E-03 1.1102E-04 7.0249E-05 6.9939E-05 0.0000E+00 0.0000E+00 3.9793E-04 2.1672E-03 4.7777E-03 3.8805E-04 5.4645E-05 1.8959E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9854E-04 4.9444E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8154E-05 0.0000E+00 1.1126E-04 1.3777E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9122E-05 6.6976E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7834E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1040E-04 0.0000E+00 1.0672E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5799E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7665E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3195E-03 7.8984E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6374E-04 3.6633E-04 1.2403E-02 2.2617E-02 4.6442E-03 5.8660E-04 0.0000E+00 0.0000E+00 1.6035E-04 4.8920E-04 1.4028E-03 1.3051E-02 2.1130E-01 2.1211E-01 2.6378E-02 2.6360E-03 0.0000E+00 1.2520E-04 0.0000E+00 0.0000E+00 9.3407E-04 7.2681E-03 5.4451E-02 1.4211E-02 1.4038E-03 8.0641E-05 1.2509E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6463E-04 4.2864E-03 2.1430E-03 4.1060E-04 1.3006E-04 0.0000E+00 0.0000E+00 7.8307E-05 0.0000E+00 0.0000E+00 9.6846E-04 1.0315E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0701E-05 1.3109E-04 7.7789E-05 7.9640E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4214E-05 1.3024E-04 2.0537E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8568E-05 7.9222E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6887E-05 2.1166E-05 1.3052E-04 1.0960E-05 1.2870E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3067E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4533E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4026E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9095E-04 1.5143E-04 0.0000E+00 0.0000E+00 9.1398E-05 2.5274E-04 1.8492E-04 0.0000E+00 0.0000E+00 1.5229E-04 1.5021E-04 0.0000E+00 3.9467E-04 7.3473E-04 3.3179E-03 2.3055E-02 1.2587E-02 7.5836E-04 1.5260E-04 1.4966E-04 0.0000E+00 2.4148E-04 1.0883E-03 5.7101E-03 5.5655E-02 3.2163E-01 7.1130E-02 4.6368E-03 0.0000E+00 9.2967E-05 0.0000E+00 9.5713E-05 5.3232E-04 1.9450E-03 3.7313E-02 3.5884E-02 5.5901E-03 4.3214E-04 1.5241E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.4237E-04 0.0000E+00 1.8123E-03 2.8229E-03 7.6143E-04 9.5740E-05 9.3166E-05 1.4876E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.5730E-05 1.3480E-03 1.5194E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6023E-05 1.9075E-04 9.5396E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5006E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3426E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3814E-06 0.0000E+00 3.5143E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9990E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7556E-04 4.2727E-04 7.3377E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1094E-03 1.2068E-02 2.7606E-02 8.4264E-04 0.0000E+00 1.5039E-04 1.1482E-04 3.3586E-04 9.5102E-04 3.1419E-03 1.1787E-02 2.2374E-01 2.0849E-01 1.1176E-02 0.0000E+00 0.0000E+00 7.5901E-05 5.6148E-05 1.9277E-04 7.6279E-04 1.1039E-02 4.7137E-02 1.6132E-02 1.0555E-03 0.0000E+00 7.3898E-05 0.0000E+00 7.5975E-05 0.0000E+00 0.0000E+00 3.8329E-04 3.8945E-03 1.7024E-03 5.9773E-04 1.1851E-04 1.4066E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7335E-04 1.2570E-03 1.1856E-04 0.0000E+00 0.0000E+00 1.4810E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1514E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.4637E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1862E-04 1.1353E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5344E-06 0.0000E+00 0.0000E+00 2.5285E-04 1.1311E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7288E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6129E-06 1.8948E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8251E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2996E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3009E-04 9.1170E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1255E-05 9.0484E-05 3.3706E-04 2.1363E-03 3.7313E-02 3.3641E-03 0.0000E+00 1.4822E-04 1.1311E-04 9.4889E-05 3.9707E-04 1.5548E-03 2.5888E-03 5.0883E-02 3.7932E-01 2.6583E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0249E-05 3.3623E-04 1.3678E-03 2.8973E-02 4.5297E-02 2.0566E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5287E-04 1.8106E-03 3.6291E-03 4.5263E-04 3.7063E-04 0.0000E+00 0.0000E+00 1.4844E-04 0.0000E+00 0.0000E+00 5.4735E-05 6.7638E-04 4.8429E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4846E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2385E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4867E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5328E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4791E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4956E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1578E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2424E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4166E-03 0.0000E+00 1.8467E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1495E-04 1.5626E-04 3.5851E-02 9.9129E-03 0.0000E+00 0.0000E+00 0.0000E+00 2.2662E-04 1.1316E-04 7.2309E-04 1.1049E-03 5.6130E-03 3.6639E-01 6.8990E-02 0.0000E+00 0.0000E+00 0.0000E+00 1.8842E-04 1.1586E-04 0.0000E+00 1.8327E-04 3.2638E-03 6.2318E-02 6.9452E-03 0.0000E+00 0.0000E+00 1.2401E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8856E-04 2.4833E-03 2.6139E-03 6.0226E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8856E-04 1.0935E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8871E-04 3.0374E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8841E-04 1.1686E-04 2.3139E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0600E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3301E-04 1.0312E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3887E-05 2.4650E-05 5.7317E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0240E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2828E-04 2.4376E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4709E-05 2.5537E-03 7.7628E-04 9.4500E-05 0.0000E+00 1.4987E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.8851E-04 1.5558E-02 2.4428E-02 0.0000E+00 1.4870E-04 0.0000E+00 0.0000E+00 1.9004E-04 3.8644E-04 5.8226E-04 1.0778E-03 2.0577E-01 2.4258E-01 0.0000E+00 0.0000E+00 0.0000E+00 9.6668E-05 2.4469E-04 0.0000E+00 1.9133E-04 3.8253E-04 4.7781E-02 2.4145E-02 0.0000E+00 0.0000E+00 0.0000E+00 9.2831E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1177E-04 4.7268E-03 8.9570E-04 0.0000E+00 0.0000E+00 1.4970E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.4966E-04 6.8275E-04 1.1761E-03 9.3272E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6611E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.4593E-05 6.5834E-05 2.5252E-05 0.0000E+00 0.0000E+00 1.4859E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4438E-06 8.5286E-06 0.0000E+00 9.4737E-05 9.6483E-05 0.0000E+00 9.6699E-05 0.0000E+00 3.6984E-05 7.9765E-05 1.2329E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.0018E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4903E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8487E-04 1.2050E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2198E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2050E-04 1.9672E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0666E-03 1.9612E-03 0.0000E+00 1.2000E-04 0.0000E+00 0.0000E+00 1.1772E-04 0.0000E+00 0.0000E+00 1.6260E-03 4.1660E-02 0.0000E+00 0.0000E+00 4.7587E-04 1.1784E-04 0.0000E+00 4.3645E-04 3.8897E-04 0.0000E+00 1.8518E-02 4.3703E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2057E-04 2.1900E-04 8.7727E-03 6.2560E-02 1.9952E-04 1.9912E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2463E-03 2.9922E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.2098E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9465E-04 4.4259E-04 0.0000E+00 1.9417E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9717E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0041E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4815E-06 0.0000E+00 0.0000E+00 1.2016E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3834E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8626E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8014E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4922E-05 4.4668E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3864E-04 3.7862E-02 8.1964E-05 2.1955E-04 2.2161E-04 8.4138E-05 3.0293E-04 2.2139E-04 0.0000E+00 0.0000E+00 4.1616E-04 4.5143E-01 0.0000E+00 0.0000E+00 0.0000E+00 8.3568E-05 8.1932E-05 0.0000E+00 1.3910E-04 0.0000E+00 8.2238E-05 7.0540E-02 1.5516E-04 0.0000E+00 3.1436E-06 2.0857E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1618E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1881E-04 6.5870E-04 8.4551E-05 1.3405E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3818E-04 1.3649E-04 7.6397E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1260E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1122E-05 1.1331E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3471E-05 3.4357E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1207E-06 2.0907E-06 ; 5.4795E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.7655E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7225E-04 1.4677E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.7621E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2264E-03 9.5083E-04 5.5798E-04 6.3422E-04 2.7289E-04 0.0000E+00 1.1569E-04 9.0350E-05 5.7609E-05 9.1830E-05 5.2904E-04 0.0000E+00 2.3175E-04 8.8811E-05 0.0000E+00 5.7213E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7622E-03 3.3584E-04 9.8347E-05 2.4907E-04 0.0000E+00 0.0000E+00 6.3701E-05 0.0000E+00 0.0000E+00 6.3167E-05 4.4991E-03 1.2225E-03 9.9370E-04 8.2532E-04 6.9677E-04 2.4237E-04 1.6214E-04 3.4728E-05 1.9138E-04 3.4979E-04 1.6176E-03 6.6856E-04 3.8687E-04 2.3005E-04 9.7008E-05 0.0000E+00 1.9992E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5506E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9962E-03 3.8215E-04 1.5543E-04 8.3726E-05 0.0000E+00 5.0678E-05 0.0000E+00 5.1718E-05 0.0000E+00 0.0000E+00 3.7411E-03 1.7705E-03 7.8653E-04 2.9282E-04 2.0369E-04 5.1788E-05 1.8835E-04 0.0000E+00 5.0240E-05 1.0391E-04 2.0953E-03 9.1098E-04 5.8676E-04 5.1082E-05 0.0000E+00 0.0000E+00 8.6066E-05 4.7383E-05 0.0000E+00 5.0778E-05 8.7251E-05 8.7263E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3066E-05 4.8821E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1762E-03 1.0429E-03 1.7574E-04 1.2444E-04 0.0000E+00 4.8806E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8449E-02 3.4564E-03 1.1174E-03 2.9234E-04 1.9495E-04 0.0000E+00 1.2750E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.9924E-02 2.8324E-03 4.7818E-04 7.7019E-05 7.5708E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5635E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2374E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7107E-02 2.6503E-03 4.5205E-04 1.2233E-04 6.7249E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2511E-01 9.5743E-03 3.2750E-03 8.4765E-04 2.4647E-04 1.9035E-05 3.4571E-05 5.5097E-05 0.0000E+00 0.0000E+00 6.2489E-02 6.3216E-03 7.2815E-04 3.5464E-04 3.4320E-05 0.0000E+00 1.4078E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3545E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2701E-02 8.9884E-03 2.5559E-03 3.0726E-04 1.7435E-04 0.0000E+00 6.6682E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.4717E-01 3.3840E-02 6.5986E-03 2.4578E-03 3.3806E-04 6.3450E-04 6.7285E-05 1.4972E-04 6.8200E-05 1.0554E-04 4.7805E-02 3.5592E-02 2.7907E-03 6.2705E-04 1.3467E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0274E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5757E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1750E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9306E-04 7.5183E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9417E-03 3.1201E-02 3.1413E-03 3.4685E-04 9.2570E-05 1.2023E-04 0.0000E+00 0.0000E+00 7.3080E-05 7.4289E-05 2.6296E-01 1.5276E-01 1.4423E-02 3.7509E-03 1.1380E-03 6.0217E-04 4.7753E-05 9.3919E-05 0.0000E+00 0.0000E+00 1.4797E-02 6.5979E-02 1.0399E-02 9.4792E-04 1.2015E-04 4.7158E-05 4.2399E-05 0.0000E+00 7.1912E-05 0.0000E+00 0.0000E+00 3.6675E-04 7.5287E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5778E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0558E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8770E-04 6.7089E-05 6.6505E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1310E-03 2.8802E-02 1.3983E-02 1.9125E-03 1.3356E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0725E-04 0.0000E+00 4.5428E-02 3.3881E-01 4.8410E-02 6.2855E-03 1.7310E-03 4.6243E-04 2.9995E-04 1.0764E-04 2.1440E-04 0.0000E+00 2.0345E-03 4.2661E-02 4.3674E-02 2.7055E-03 3.4660E-04 2.1056E-04 2.1377E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9982E-03 1.3480E-04 4.4593E-05 6.7531E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4695E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0985E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7637E-04 9.7002E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2406E-04 1.0686E-02 3.2872E-02 2.9676E-03 3.4159E-04 2.1790E-04 9.3492E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.0099E-03 2.3090E-01 1.9712E-01 1.5638E-02 3.1078E-03 8.2389E-04 2.5678E-04 1.5299E-04 2.0658E-04 0.0000E+00 3.1065E-04 8.3670E-03 6.8655E-02 1.2136E-02 1.2593E-03 7.5229E-04 9.5229E-05 1.9442E-04 0.0000E+00 9.3726E-05 0.0000E+00 5.4178E-03 9.4125E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7346E-05 0.0000E+00 6.1349E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4626E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2650E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8489E-05 2.4529E-04 7.5734E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7141E-05 8.4935E-04 1.9211E-02 2.2420E-02 2.4657E-03 8.3951E-04 5.4181E-05 6.8979E-05 0.0000E+00 5.2909E-05 1.6631E-03 2.3362E-02 2.9595E-01 1.2205E-01 8.7796E-03 2.6744E-03 1.0333E-03 1.5830E-04 1.9123E-04 5.4801E-05 1.2235E-04 1.6912E-03 2.4321E-02 6.2555E-02 4.6863E-03 8.6819E-04 2.6285E-04 1.2397E-04 3.4552E-05 3.3468E-05 0.0000E+00 3.2734E-03 4.3034E-03 6.9727E-04 3.4560E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5219E-04 2.6149E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2700E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4780E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8265E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3276E-05 8.5766E-05 3.3601E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3973E-05 8.6362E-05 7.0901E-04 1.6159E-02 2.2503E-02 3.3194E-03 2.5914E-04 3.2911E-05 0.0000E+00 5.2792E-05 4.7401E-04 1.3651E-03 2.3623E-02 3.1717E-01 9.4505E-02 1.0396E-02 2.4331E-03 6.1502E-04 3.7395E-04 1.9296E-04 1.9935E-04 3.1769E-04 1.0490E-03 3.5929E-02 4.8356E-02 5.9331E-03 7.0102E-04 1.3399E-04 3.2700E-05 5.3565E-05 0.0000E+00 3.1430E-04 3.2536E-03 6.5714E-03 7.7249E-04 1.1848E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0265E-04 1.5196E-03 2.9589E-04 8.5318E-05 5.4159E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6018E-04 6.6408E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0544E-06 3.6406E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6811E-04 3.3113E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2785E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3972E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2449E-05 2.2095E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4495E-04 7.2327E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8348E-05 0.0000E+00 3.1694E-05 7.0784E-04 1.9682E-02 2.1654E-02 1.3419E-03 5.0315E-04 0.0000E+00 0.0000E+00 1.4521E-04 2.0817E-04 1.5282E-03 3.5636E-02 2.8738E-01 1.1456E-01 9.0192E-03 2.0294E-03 8.1229E-04 1.3639E-04 1.8646E-04 7.2940E-05 2.7335E-04 1.4487E-03 3.1906E-02 5.3156E-02 3.8300E-03 1.1312E-03 1.4234E-04 9.0593E-05 1.9074E-04 1.6260E-04 4.5494E-05 3.0853E-03 4.5727E-03 9.6287E-04 1.6163E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0330E-04 9.4820E-04 5.4239E-04 4.5502E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5842E-05 1.8844E-04 9.1907E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8052E-05 7.6816E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0833E-05 9.9134E-05 1.3912E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2095E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3254E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0358E-04 4.4366E-05 0.0000E+00 6.7744E-05 0.0000E+00 0.0000E+00 4.4699E-05 0.0000E+00 3.4593E-04 1.1937E-03 2.5416E-02 1.5623E-02 1.4146E-03 3.2416E-04 3.1644E-05 1.5676E-04 4.4989E-05 2.9375E-04 2.8080E-03 3.4618E-02 2.9479E-01 1.0569E-01 8.5050E-03 1.9824E-03 2.7877E-04 2.5230E-04 4.4779E-05 1.5949E-04 2.9012E-04 1.7464E-03 3.9868E-02 4.5094E-02 4.9336E-03 1.1305E-03 3.1639E-04 4.9856E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.4549E-03 5.3673E-03 1.1834E-03 1.3869E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2394E-04 9.5695E-04 5.3506E-04 4.4953E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3912E-04 3.6850E-04 1.8546E-04 4.4861E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0550E-05 3.1729E-05 4.8487E-05 2.4088E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4037E-05 8.0118E-06 0.0000E+00 4.4486E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4859E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1002E-06 1.1095E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8185E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8201E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0106E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1308E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.1392E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0290E-04 3.1949E-05 8.2390E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.1975E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.1922E-03 2.0656E-02 1.8876E-02 3.0045E-03 3.9791E-04 5.0777E-05 4.9614E-05 2.6136E-04 5.4119E-04 2.7821E-03 3.3678E-02 2.7902E-01 1.1118E-01 1.6935E-02 1.8701E-03 1.0090E-04 1.3204E-04 4.0035E-05 2.1457E-04 8.1841E-05 2.2502E-03 2.8036E-02 4.7087E-02 7.9737E-03 1.6206E-03 5.0178E-05 0.0000E+00 4.9888E-05 8.2310E-05 4.9778E-05 1.5872E-03 6.8116E-03 1.7249E-03 8.2298E-05 7.8703E-05 5.1647E-05 5.1427E-05 0.0000E+00 0.0000E+00 2.6712E-04 1.1998E-03 3.1440E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2228E-05 1.6444E-04 5.0742E-05 2.1169E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9876E-05 4.8395E-05 4.4503E-06 5.1098E-05 1.8374E-04 5.0778E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5833E-05 4.5321E-06 1.1295E-05 5.0313E-05 4.9581E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5632E-05 3.8297E-05 4.7504E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6469E-06 1.5222E-05 0.0000E+00 1.9049E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4699E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1403E-04 0.0000E+00 0.0000E+00 1.1519E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1721E-04 1.1171E-04 2.1824E-04 0.0000E+00 1.4873E-04 7.2344E-05 0.0000E+00 7.6311E-05 1.1175E-04 1.9207E-04 1.0990E-03 2.2207E-02 2.2924E-02 1.0903E-03 1.9252E-04 0.0000E+00 2.2549E-04 3.8306E-04 1.3930E-03 3.1329E-03 3.3591E-02 2.5418E-01 1.5129E-01 6.6598E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4803E-04 7.3481E-05 1.5653E-03 2.2584E-02 4.6645E-02 1.3372E-02 1.1360E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.1683E-04 7.5834E-05 9.2145E-04 6.6990E-03 2.6603E-03 1.9047E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4290E-05 0.0000E+00 6.7279E-04 1.1855E-03 0.0000E+00 0.0000E+00 0.0000E+00 7.5061E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.1709E-04 1.1664E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9556E-05 1.0598E-04 6.7756E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2920E-05 7.2983E-05 0.0000E+00 1.1710E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8382E-06 0.0000E+00 0.0000E+00 6.3420E-06 1.1702E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5759E-06 0.0000E+00 1.8806E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6791E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6382E-05 4.5014E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6941E-05 1.4420E-04 7.9457E-04 1.4395E-04 1.4418E-04 5.4190E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1092E-04 1.3565E-03 2.8573E-02 1.6165E-02 0.0000E+00 0.0000E+00 1.4367E-04 5.6566E-05 4.3674E-04 8.6152E-04 2.4762E-03 1.8923E-02 3.1524E-01 1.1318E-01 5.6106E-05 9.0257E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.9883E-04 2.6992E-04 4.5385E-04 1.0493E-02 5.8964E-02 1.4170E-02 8.9921E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1114E-04 1.5416E-03 4.2087E-03 3.4727E-03 8.8223E-04 8.9934E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5455E-05 7.1757E-04 7.5782E-04 5.2939E-04 5.5052E-05 0.0000E+00 5.6421E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.3726E-04 3.4389E-04 1.3593E-04 0.0000E+00 0.0000E+00 1.0584E-05 4.9911E-06 0.0000E+00 0.0000E+00 0.0000E+00 5.4212E-05 5.6301E-05 5.4201E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.0853E-06 1.2563E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.7547E-05 0.0000E+00 1.8078E-04 9.5613E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2425E-06 8.8599E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3929E-06 0.0000E+00 6.0890E-06 0.0000E+00 4.0946E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5604E-06 0.0000E+00 ; 4.0045E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1927E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1246E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0141E-04 1.7026E-03 1.6341E-04 0.0000E+00 1.8142E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0040E-04 0.0000E+00 6.2071E-04 4.3985E-02 0.0000E+00 1.0099E-04 1.0244E-04 4.2639E-04 1.0229E-04 0.0000E+00 1.9236E-04 1.0082E-04 8.6974E-03 4.2283E-01 0.0000E+00 0.0000E+00 1.5812E-04 0.0000E+00 1.0184E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1642E-03 7.5624E-02 0.0000E+00 0.0000E+00 1.0215E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7611E-03 6.6703E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6059E-04 6.6426E-04 3.7574E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0235E-04 0.0000E+00 0.0000E+00 9.1755E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0183E-04 0.0000E+00 0.0000E+00 0.0000E+00 9.0497E-06 9.0297E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3170E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8281E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0878E-05 3.7133E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9211E-04 1.3981E-04 0.0000E+00 5.8928E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4738E-03 1.2564E-03 4.3577E-04 6.7557E-04 2.1404E-04 1.1132E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.1076E-04 0.0000E+00 7.0042E-05 1.7707E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.0901E-05 1.0956E-04 0.0000E+00 0.0000E+00 7.1253E-05 1.1116E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9727E-04 3.2412E-04 0.0000E+00 1.2023E-04 7.4920E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2486E-04 0.0000E+00 8.9126E-03 3.4869E-03 2.1799E-03 1.2806E-03 3.2819E-04 3.2646E-04 3.5077E-04 0.0000E+00 0.0000E+00 7.5531E-05 0.0000E+00 9.4960E-04 2.7983E-04 2.7762E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2148E-04 0.0000E+00 0.0000E+00 1.5192E-04 2.0320E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4357E-03 2.7270E-04 5.7546E-05 1.1764E-04 0.0000E+00 9.5415E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6985E-02 4.6855E-03 1.2212E-03 6.6870E-04 0.0000E+00 0.0000E+00 9.1240E-05 5.8766E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.5335E-04 2.6597E-04 1.5012E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.8640E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7019E-05 4.7688E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6300E-03 9.1765E-04 2.0457E-04 7.5257E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9435E-02 1.0042E-02 1.7051E-03 9.0651E-04 3.6502E-04 0.0000E+00 0.0000E+00 4.6294E-05 7.5176E-05 0.0000E+00 0.0000E+00 4.6774E-04 3.5312E-04 4.7881E-05 0.0000E+00 2.6255E-05 0.0000E+00 7.7833E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0312E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5875E-04 1.3508E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4401E-02 1.6894E-03 3.2367E-04 1.0562E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2398E-01 4.4459E-02 6.7274E-03 1.4892E-03 2.1181E-04 1.1967E-04 1.6966E-04 2.0934E-04 5.2752E-05 0.0000E+00 0.0000E+00 3.2187E-03 3.4668E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7213E-05 0.0000E+00 1.9690E-04 1.9686E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6046E-02 3.4033E-03 9.5389E-04 3.6789E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0193E-01 1.9599E-01 1.5002E-02 3.8682E-03 9.5594E-04 3.8852E-04 0.0000E+00 2.3874E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.2312E-03 1.2523E-03 9.6455E-04 3.6862E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2174E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0976E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7915E-04 8.6707E-05 6.7564E-05 6.6469E-05 1.0973E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3509E-02 1.9503E-02 2.3024E-03 5.8604E-04 1.1031E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.1946E-05 0.0000E+00 2.7726E-02 2.9020E-01 1.0526E-01 1.1076E-02 1.3765E-03 7.2199E-04 2.0444E-04 1.0977E-04 4.1860E-05 0.0000E+00 4.1821E-05 5.3230E-02 4.0182E-03 4.6470E-04 1.5270E-04 1.2997E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2019E-04 6.8589E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8637E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1143E-05 2.8037E-04 1.1623E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1373E-03 2.3864E-02 2.4002E-02 1.8957E-03 2.8417E-04 1.2691E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8991E-03 2.3689E-02 2.7631E-01 1.2208E-01 7.4704E-03 1.6938E-03 4.7209E-04 3.1292E-04 1.6728E-04 7.3426E-05 4.6109E-05 4.7265E-02 5.3934E-02 3.8757E-03 4.2070E-04 9.2905E-05 0.0000E+00 0.0000E+00 4.6567E-05 0.0000E+00 0.0000E+00 3.3519E-03 2.7795E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3765E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.3552E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1424E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3204E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3016E-04 2.1433E-04 4.2166E-05 0.0000E+00 6.6506E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5558E-04 6.4186E-04 1.9231E-02 2.5485E-02 2.5861E-03 4.6126E-04 2.0530E-04 4.2184E-05 0.0000E+00 0.0000E+00 3.6325E-04 2.0009E-03 1.7145E-02 3.1726E-01 9.1125E-02 9.0442E-03 1.3656E-03 8.7414E-04 1.5107E-04 6.5704E-05 4.0514E-05 2.3989E-03 4.2816E-02 5.8493E-02 4.2520E-03 9.9089E-04 3.5858E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.6264E-05 2.7249E-03 4.0905E-03 2.9685E-04 1.0584E-04 0.0000E+00 0.0000E+00 4.2166E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0057E-03 2.1720E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3370E-04 1.7553E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7003E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2038E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4379E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4735E-04 4.2320E-04 2.0189E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6170E-05 3.2872E-04 2.3023E-02 2.0551E-02 2.5274E-03 7.0320E-04 9.1196E-05 0.0000E+00 9.2252E-05 3.2563E-04 3.2756E-04 9.5636E-04 2.7422E-02 2.9529E-01 1.0777E-01 7.4609E-03 1.2681E-03 4.4011E-04 4.5868E-04 0.0000E+00 9.2247E-05 1.4051E-03 4.0706E-02 5.6733E-02 7.7556E-03 1.4169E-03 1.5079E-04 1.1011E-04 0.0000E+00 0.0000E+00 1.7906E-04 2.8486E-03 4.5203E-03 1.3412E-03 4.9847E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8373E-04 9.0504E-04 4.1899E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9126E-04 9.2679E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1148E-04 0.0000E+00 5.6216E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2719E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8017E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4698E-04 0.0000E+00 1.4614E-04 1.0392E-03 1.7208E-02 2.4100E-02 2.0842E-03 3.0226E-04 1.5626E-04 0.0000E+00 0.0000E+00 9.0835E-05 1.7400E-04 1.5224E-03 3.2583E-02 2.9757E-01 9.0403E-02 1.0829E-02 1.7473E-03 1.0701E-03 5.6058E-05 0.0000E+00 3.3054E-04 1.5877E-03 2.9799E-02 6.5725E-02 9.1972E-03 1.4294E-03 3.2288E-04 3.4050E-04 9.1594E-05 0.0000E+00 2.4409E-05 2.0527E-03 3.4900E-03 9.0683E-04 0.0000E+00 0.0000E+00 5.8300E-05 0.0000E+00 0.0000E+00 5.6626E-05 1.1629E-04 7.5327E-04 2.7205E-04 5.6144E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0400E-04 5.7339E-05 9.0312E-05 5.8054E-05 1.1435E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.6563E-06 1.5095E-04 3.0419E-04 1.4661E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5272E-05 1.2903E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4481E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3296E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2315E-04 0.0000E+00 3.1898E-04 2.4579E-04 5.6097E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2425E-04 2.4347E-04 8.4487E-04 2.0576E-02 2.5506E-02 1.7953E-03 3.5096E-04 0.0000E+00 1.2029E-04 1.2036E-04 2.7400E-04 1.4975E-04 2.0062E-03 3.6382E-02 2.5934E-01 1.1835E-01 9.1542E-03 3.5407E-03 3.3037E-04 1.2342E-04 1.2376E-04 1.9958E-04 1.1297E-03 3.0239E-02 6.2695E-02 1.0726E-02 6.4192E-04 7.5775E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0065E-03 4.8768E-03 1.3341E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1826E-04 7.1368E-04 2.7491E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0253E-05 2.5069E-04 1.1866E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5347E-05 4.8555E-05 0.0000E+00 1.0202E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6769E-05 1.0243E-05 7.4054E-05 1.8590E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5347E-05 9.3358E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0773E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8198E-05 0.0000E+00 0.0000E+00 1.3297E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3737E-04 1.3645E-04 1.3743E-04 3.9686E-04 4.4441E-04 0.0000E+00 0.0000E+00 8.7095E-05 0.0000E+00 0.0000E+00 1.3463E-04 1.3354E-04 9.1940E-04 1.8364E-02 1.8919E-02 3.6241E-03 1.3244E-04 4.4396E-04 0.0000E+00 0.0000E+00 1.3684E-04 1.3451E-03 2.9075E-03 3.2075E-02 2.6427E-01 1.2516E-01 1.8981E-02 1.8061E-03 0.0000E+00 8.6435E-05 8.9039E-05 4.0471E-04 1.2583E-03 2.9156E-02 5.8149E-02 1.6600E-02 1.4264E-03 8.5922E-05 0.0000E+00 1.3674E-04 0.0000E+00 2.2111E-04 1.1368E-03 4.0799E-03 9.3745E-04 1.7461E-04 8.7861E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7681E-04 1.4813E-03 5.3365E-04 0.0000E+00 0.0000E+00 8.8731E-05 0.0000E+00 1.5741E-05 1.1434E-05 0.0000E+00 8.9051E-05 1.3886E-04 0.0000E+00 2.2330E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3471E-04 4.5834E-05 5.6852E-05 1.1581E-05 0.0000E+00 6.8240E-05 3.4366E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0276E-06 0.0000E+00 0.0000E+00 0.0000E+00 7.7868E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1974E-06 0.0000E+00 2.1903E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3148E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0166E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2227E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0030E-04 0.0000E+00 3.1838E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9869E-04 5.2140E-04 7.2735E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4786E-04 9.2500E-04 2.1002E-02 2.1955E-02 1.5645E-03 0.0000E+00 2.0447E-04 3.2698E-04 0.0000E+00 2.0110E-04 1.4051E-03 3.5278E-03 3.3687E-02 2.3801E-01 1.4886E-01 6.3748E-03 0.0000E+00 2.0205E-04 0.0000E+00 1.2429E-04 5.2620E-04 1.6837E-03 2.5748E-02 5.9271E-02 1.3507E-02 2.4916E-03 1.2371E-04 1.9925E-04 0.0000E+00 0.0000E+00 1.2462E-04 1.5406E-03 4.6883E-03 5.7113E-04 0.0000E+00 1.6816E-04 1.2373E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.2772E-04 8.0331E-04 1.2379E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6392E-05 0.0000E+00 0.0000E+00 1.2289E-04 3.2268E-04 1.2475E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1925E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0813E-05 0.0000E+00 1.7029E-05 2.4039E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6726E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6031E-05 0.0000E+00 9.6534E-05 0.0000E+00 0.0000E+00 1.4587E-04 0.0000E+00 0.0000E+00 9.6856E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4871E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.3608E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6522E-05 0.0000E+00 0.0000E+00 2.4200E-04 1.5526E-03 1.4973E-04 0.0000E+00 2.9048E-04 1.4698E-04 0.0000E+00 0.0000E+00 9.6629E-05 3.6372E-04 1.1581E-03 3.6579E-02 1.1021E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4558E-05 5.6471E-04 9.5763E-04 1.9705E-03 1.8204E-02 3.0301E-01 1.0755E-01 9.6439E-05 9.5366E-05 9.5576E-05 2.4160E-04 2.4113E-04 5.8559E-04 4.8855E-04 1.7561E-02 6.5210E-02 1.6151E-02 0.0000E+00 1.4538E-04 0.0000E+00 9.6177E-05 0.0000E+00 1.4870E-04 6.1982E-04 3.3511E-03 3.2100E-03 4.3368E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.7853E-04 2.4271E-04 9.6715E-05 0.0000E+00 1.2489E-05 0.0000E+00 0.0000E+00 9.7323E-05 0.0000E+00 0.0000E+00 9.5532E-05 4.4294E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.7733E-04 1.2516E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4571E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4301E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8857E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9018E-04 2.2442E-03 0.0000E+00 0.0000E+00 5.2182E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5544E-03 4.8345E-02 0.0000E+00 2.8495E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.8359E-04 0.0000E+00 4.5761E-04 1.8213E-04 7.3676E-03 4.1624E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8189E-04 5.1095E-03 9.3446E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7732E-03 5.2939E-03 1.9651E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4842E-04 9.3150E-04 4.8447E-05 1.6101E-05 0.0000E+00 4.4472E-06 0.0000E+00 0.0000E+00 0.0000E+00 5.6849E-07 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3952E-06 2.1159E-06 1.8999E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3627E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.4276E-05 2.3411E-05 0.0000E+00 7.1294E-05 7.2256E-05 2.4217E-05 7.2462E-05 0.0000E+00 4.8434E-05 2.4384E-05 6.7448E-06 6.6376E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1611E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3442E-04 1.3380E-04 0.0000E+00 1.3313E-04 7.7155E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.8297E-05 0.0000E+00 0.0000E+00 6.9190E-04 2.9513E-04 0.0000E+00 1.6009E-04 0.0000E+00 0.0000E+00 7.7652E-05 0.0000E+00 1.5782E-04 0.0000E+00 1.3159E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6537E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9538E-03 7.2616E-04 0.0000E+00 1.0298E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3068E-03 1.6114E-03 7.5503E-04 1.5566E-04 3.8589E-04 0.0000E+00 6.3040E-05 9.9543E-05 1.2616E-04 1.9819E-04 6.9432E-04 1.0054E-04 1.0137E-04 0.0000E+00 6.3989E-05 9.9955E-05 0.0000E+00 6.2420E-05 0.0000E+00 0.0000E+00 1.0347E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9388E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0085E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4927E-03 6.4376E-04 1.1499E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3027E-03 7.7083E-04 4.7971E-04 3.3515E-04 0.0000E+00 1.1461E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9245E-04 0.0000E+00 0.0000E+00 7.4232E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2065E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5652E-03 8.6321E-04 3.4830E-04 1.2823E-04 8.0517E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3813E-03 1.4216E-03 3.8167E-04 1.6292E-04 0.0000E+00 8.2375E-05 1.3347E-04 1.3164E-04 0.0000E+00 0.0000E+00 4.5894E-04 2.6352E-04 7.9819E-05 0.0000E+00 0.0000E+00 8.1091E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1456E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2197E-02 2.3631E-03 3.6987E-04 0.0000E+00 1.4181E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9818E-03 1.4623E-03 4.1715E-04 7.2206E-05 3.9350E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5654E-04 6.9553E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5742E-02 1.0096E-02 1.8056E-03 3.3946E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9494E-02 5.5386E-03 3.7856E-04 1.8876E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0956E-03 4.9161E-04 0.0000E+00 0.0000E+00 1.5120E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5335E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5154E-05 1.0787E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8287E-04 1.0614E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6823E-03 2.8716E-02 3.3996E-03 7.2664E-04 2.0257E-04 0.0000E+00 6.8471E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4254E-01 1.0191E-02 1.3501E-03 3.5343E-04 3.2732E-04 0.0000E+00 1.3637E-04 0.0000E+00 0.0000E+00 1.0802E-04 5.9965E-03 8.8846E-04 6.5988E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8080E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4547E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1314E-04 1.3678E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2876E-04 8.4823E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8989E-04 2.2474E-02 1.4814E-02 1.6311E-03 1.7057E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6461E-01 4.3312E-02 4.8341E-03 1.7329E-03 5.4235E-04 3.7090E-04 0.0000E+00 0.0000E+00 1.3958E-04 0.0000E+00 3.7231E-02 1.9276E-03 3.6788E-04 1.4147E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6516E-04 0.0000E+00 8.9326E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2934E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4765E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4940E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4755E-04 2.4871E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5219E-04 4.0585E-04 9.8368E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4580E-05 3.0035E-03 3.2558E-02 6.7158E-03 7.5820E-04 1.5146E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4948E-01 1.8915E-01 1.2224E-02 2.2851E-03 9.5867E-04 2.4288E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.2625E-02 8.1377E-03 5.5414E-04 1.9538E-04 3.5187E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5362E-04 1.0591E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5425E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0498E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8683E-04 2.2791E-04 7.8504E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3000E-04 4.6488E-04 1.3106E-02 2.4584E-02 1.2084E-03 3.4020E-04 3.5590E-05 0.0000E+00 0.0000E+00 5.0632E-05 0.0000E+00 2.4696E-02 3.0240E-01 1.1629E-01 7.2473E-03 1.6239E-03 8.0430E-04 1.3113E-04 7.9829E-05 0.0000E+00 0.0000E+00 2.6792E-02 5.6663E-02 3.2427E-03 8.5946E-04 1.2955E-04 8.1481E-05 8.1249E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.2655E-03 4.9545E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5077E-04 2.0266E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9466E-04 4.6600E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3604E-04 8.4410E-05 0.0000E+00 8.5504E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2554E-05 4.2319E-04 1.5911E-04 1.7021E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2584E-05 2.2318E-04 3.6538E-04 1.6620E-02 1.9769E-02 2.1142E-03 2.5910E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6169E-03 2.4574E-02 3.2121E-01 1.0698E-01 1.2533E-02 2.1121E-03 1.3809E-04 1.9080E-04 8.6250E-05 7.2208E-05 1.0266E-03 3.2295E-02 4.8316E-02 6.1588E-03 2.4471E-04 1.9184E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4825E-03 5.7187E-03 6.0839E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4010E-04 1.1271E-03 4.8023E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0383E-04 1.1972E-04 5.3073E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7463E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0908E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1049E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0819E-04 0.0000E+00 0.0000E+00 2.8871E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.7881E-05 6.5149E-05 6.7586E-05 3.1291E-04 6.8044E-05 6.7184E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4606E-04 0.0000E+00 1.3406E-04 9.0848E-04 1.7820E-02 1.8944E-02 1.5488E-03 1.7686E-04 1.1185E-04 0.0000E+00 0.0000E+00 3.5037E-04 6.4870E-04 3.4525E-02 3.0660E-01 1.1426E-01 1.0500E-02 1.0317E-03 5.3899E-04 2.2148E-04 5.8865E-05 0.0000E+00 1.3376E-03 3.5023E-02 5.0123E-02 4.5079E-03 5.7769E-04 1.1468E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0657E-04 3.7030E-03 5.7203E-03 7.5020E-04 6.7787E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3432E-06 3.3858E-04 2.6815E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2614E-04 1.9517E-04 1.7495E-04 1.0714E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0691E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3687E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4035E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.5501E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5340E-05 0.0000E+00 0.0000E+00 0.0000E+00 4.7920E-04 2.1040E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0855E-04 0.0000E+00 0.0000E+00 1.6686E-06 1.1587E-03 2.1143E-02 1.1737E-02 1.5358E-03 0.0000E+00 6.6667E-05 1.0784E-04 0.0000E+00 3.0513E-04 1.9427E-03 3.5582E-02 3.0495E-01 1.0510E-01 7.0145E-03 1.7038E-03 3.7397E-04 0.0000E+00 1.0619E-04 2.8116E-04 1.6883E-03 4.4898E-02 4.1023E-02 4.3805E-03 6.8269E-04 2.4452E-04 1.0864E-04 0.0000E+00 1.1620E-04 0.0000E+00 3.7844E-03 4.4308E-03 5.2024E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2552E-04 1.2524E-04 7.9106E-04 4.7641E-04 3.1738E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0750E-04 1.2704E-04 1.1822E-05 2.4576E-04 6.8770E-05 1.0791E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6878E-05 1.3817E-04 2.1918E-04 1.1691E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8082E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2186E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2302E-04 1.2346E-04 0.0000E+00 0.0000E+00 1.2027E-04 7.3843E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2311E-04 1.2381E-04 3.0142E-04 1.9453E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.4709E-05 1.1861E-04 7.5007E-05 0.0000E+00 1.4887E-04 1.4946E-03 1.7568E-02 1.7759E-02 2.1898E-03 2.8726E-04 7.4574E-05 0.0000E+00 0.0000E+00 5.5424E-04 3.8459E-03 3.4850E-02 2.9719E-01 1.0838E-01 9.9292E-03 2.5039E-03 1.5140E-04 1.2364E-04 5.3866E-05 3.1439E-04 1.7936E-03 2.8765E-02 5.2974E-02 8.4464E-03 1.2523E-03 1.9722E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.9526E-04 2.3068E-03 4.3351E-03 5.4301E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7450E-04 0.0000E+00 3.0051E-05 6.9609E-04 6.5060E-04 2.4227E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1731E-05 7.8917E-05 0.0000E+00 2.3247E-04 1.8304E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1035E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3240E-06 1.8631E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7062E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0599E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0966E-04 1.8188E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0143E-04 4.3031E-04 1.1076E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9107E-04 1.0598E-04 1.3645E-03 1.5498E-02 1.6760E-02 3.1114E-03 1.0819E-04 1.8094E-04 0.0000E+00 2.5369E-04 7.9485E-04 2.9195E-03 3.5986E-02 2.6514E-01 1.3079E-01 1.4782E-02 2.0965E-03 1.1143E-04 0.0000E+00 0.0000E+00 4.6810E-04 1.7380E-03 2.6212E-02 5.9306E-02 6.1634E-03 1.6289E-03 1.1062E-04 1.8117E-04 0.0000E+00 1.9412E-05 1.0734E-04 2.6585E-03 5.0476E-03 1.2353E-03 3.3033E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8804E-05 1.0562E-04 4.0996E-04 8.2484E-04 4.6718E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7256E-06 2.9857E-05 0.0000E+00 4.4863E-05 3.9359E-04 3.1425E-04 2.6623E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4571E-05 1.2374E-04 1.0020E-05 0.0000E+00 0.0000E+00 9.9933E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9316E-06 2.6555E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7170E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0227E-04 0.0000E+00 1.3874E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3898E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0153E-04 9.4107E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3984E-04 4.8082E-04 1.7614E-02 2.1568E-02 1.3559E-03 0.0000E+00 2.0839E-04 0.0000E+00 0.0000E+00 1.3501E-03 4.7510E-03 2.8644E-02 2.7114E-01 1.3752E-01 1.1077E-02 0.0000E+00 0.0000E+00 0.0000E+00 1.3708E-04 6.1763E-04 1.0178E-03 3.1166E-02 4.6672E-02 1.0554E-02 1.6475E-03 2.0321E-04 2.1032E-04 1.3937E-04 0.0000E+00 2.1077E-04 1.3849E-03 5.6555E-03 2.4237E-03 3.4339E-04 0.0000E+00 0.0000E+00 1.7113E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.2086E-04 1.1100E-03 2.3500E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.2105E-05 7.3929E-05 1.3944E-04 0.0000E+00 0.0000E+00 3.4355E-05 8.1239E-04 1.7242E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2528E-05 4.2330E-05 0.0000E+00 0.0000E+00 1.3341E-04 7.0313E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1054E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3061E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1064E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2556E-04 0.0000E+00 2.1535E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4491E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6573E-06 0.0000E+00 1.5394E-03 4.2564E-04 2.1522E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3326E-04 1.3479E-04 1.3734E-04 6.9949E-04 2.5088E-02 1.1761E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8366E-04 1.6347E-03 1.1804E-03 1.8129E-02 3.0875E-01 1.2311E-01 1.3237E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.8645E-04 0.0000E+00 5.3843E-04 1.7919E-02 5.3242E-02 1.3734E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3650E-04 0.0000E+00 2.3133E-03 4.2362E-03 2.3510E-03 1.1422E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5203E-04 4.0108E-04 1.4885E-04 0.0000E+00 0.0000E+00 3.0324E-05 1.0721E-04 4.4092E-05 9.2408E-05 1.1989E-05 0.0000E+00 2.1622E-04 3.6948E-04 1.9119E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.2656E-04 5.3572E-05 1.7952E-05 0.0000E+00 1.2337E-05 2.4602E-05 1.1923E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3604E-06 0.0000E+00 0.0000E+00 4.8533E-05 6.5682E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3309E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0002E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3433E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3203E-04 4.3100E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8113E-04 1.6790E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8941E-04 3.7773E-02 0.0000E+00 0.0000E+00 4.2140E-04 2.8231E-04 2.8056E-04 0.0000E+00 9.9729E-04 0.0000E+00 8.3671E-03 4.2054E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9709E-03 7.8521E-02 2.3625E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6880E-03 6.7887E-03 0.0000E+00 7.4179E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3211E-04 3.0485E-04 2.9334E-06 0.0000E+00 1.7798E-04 3.5796E-05 2.5779E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1016E-06 2.4067E-05 1.2332E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9954E-06 1.0599E-06 0.0000E+00 0.0000E+00 9.8143E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5813E-05 2.6372E-06 0.0000E+00 0.0000E+00 4.6316E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3797E-04 1.4496E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9399E-05 0.0000E+00 0.0000E+00 6.4880E-04 2.8803E-04 2.3835E-04 1.4705E-04 0.0000E+00 8.7750E-05 9.1810E-05 0.0000E+00 8.7398E-05 0.0000E+00 9.1387E-05 9.1927E-05 0.0000E+00 0.0000E+00 0.0000E+00 9.2100E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0052E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3467E-04 9.9980E-05 3.2342E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3991E-03 8.0995E-04 4.8936E-04 0.0000E+00 4.8984E-04 0.0000E+00 2.6676E-04 1.0780E-04 1.0967E-04 0.0000E+00 5.4932E-04 2.2032E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6538E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0824E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7877E-04 1.0775E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.4439E-04 7.1285E-05 6.9261E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3725E-03 8.5584E-04 6.5980E-04 0.0000E+00 1.1230E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0737E-04 0.0000E+00 6.4539E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0056E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5948E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9839E-04 3.0888E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2377E-03 5.9487E-04 0.0000E+00 2.6135E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2936E-02 1.5355E-03 6.7073E-04 5.6071E-04 0.0000E+00 0.0000E+00 9.8637E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.4603E-03 9.9483E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1642E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8653E-04 1.8865E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3762E-02 2.6121E-03 2.3033E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0697E-01 9.7049E-03 1.2368E-03 3.5775E-04 3.7915E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0598E-03 5.3540E-04 1.9144E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1683E-05 1.0661E-04 8.2855E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1090E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1612E-05 2.1958E-04 1.1033E-04 2.2260E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0299E-02 2.1421E-02 1.6960E-03 6.8168E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9695E-01 1.1278E-01 5.6533E-03 1.1895E-03 6.2900E-04 2.1900E-04 1.7958E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.1573E-02 2.9762E-03 1.8919E-04 6.8688E-05 2.1785E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0287E-03 7.1777E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2986E-04 1.1166E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0420E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5196E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5703E-05 0.0000E+00 0.0000E+00 6.4534E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3114E-04 1.0278E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.6578E-04 1.9719E-02 2.4044E-02 2.3306E-03 2.0442E-04 0.0000E+00 0.0000E+00 8.4338E-05 0.0000E+00 0.0000E+00 2.2464E-02 3.0921E-01 9.4562E-02 8.4542E-03 1.6881E-03 6.8106E-04 1.2836E-04 6.5424E-05 1.0502E-04 0.0000E+00 4.1290E-02 5.7126E-02 5.7539E-03 1.0535E-03 1.0484E-04 1.0354E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7849E-03 3.5855E-03 1.0466E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9615E-04 3.6710E-04 6.5674E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9434E-05 1.1826E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3335E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4268E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4262E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4449E-04 2.3015E-04 0.0000E+00 4.6273E-04 3.6726E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4055E-04 3.7067E-04 1.8240E-02 1.9134E-02 2.8146E-03 2.2980E-04 1.6979E-04 0.0000E+00 0.0000E+00 0.0000E+00 7.7466E-04 2.9698E-02 2.9620E-01 1.1251E-01 6.6312E-03 1.5129E-03 8.5807E-04 1.7206E-04 1.4404E-04 0.0000E+00 2.3871E-03 4.0255E-02 5.8004E-02 3.0298E-03 5.7029E-04 8.6437E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5053E-04 2.9487E-03 2.5386E-03 7.7218E-06 1.3984E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.9484E-04 9.6381E-04 6.7580E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6806E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1059E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2030E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3672E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3819E-04 8.5835E-05 8.5624E-05 1.3776E-04 0.0000E+00 6.6189E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3691E-04 1.2067E-03 1.5970E-02 2.4344E-02 2.1846E-03 2.2082E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.7139E-04 1.1241E-03 2.5379E-02 3.1460E-01 8.7926E-02 1.0168E-02 1.6919E-03 2.5409E-04 2.6544E-04 0.0000E+00 2.1787E-04 2.3668E-03 5.0636E-02 4.7224E-02 4.9568E-03 3.9373E-04 3.6051E-04 0.0000E+00 1.3642E-04 0.0000E+00 1.5385E-05 3.3318E-04 3.9551E-03 3.2578E-03 4.1747E-04 7.6642E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8754E-05 2.4649E-04 1.1197E-03 3.9443E-04 3.8284E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1618E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6982E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0443E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3179E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5295E-04 0.0000E+00 1.1290E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8662E-04 4.0951E-04 1.1971E-03 1.8658E-02 2.1557E-02 1.5461E-03 1.1195E-04 0.0000E+00 1.1717E-04 4.1739E-04 1.1652E-04 1.7586E-03 3.7781E-02 2.8314E-01 1.1187E-01 7.8723E-03 2.0711E-03 7.8411E-04 1.8134E-04 0.0000E+00 1.8094E-04 3.5284E-03 4.8302E-02 5.0139E-02 3.3068E-03 4.5800E-04 2.3388E-04 1.1686E-04 0.0000E+00 0.0000E+00 1.1322E-04 1.0481E-05 4.1974E-03 3.1924E-03 4.3558E-04 1.1517E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2568E-05 6.2597E-05 5.6878E-04 6.5553E-04 7.5532E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0591E-05 1.0259E-05 1.0131E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.1396E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2195E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2449E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2573E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2744E-04 1.0565E-03 2.0559E-02 1.6431E-02 1.6048E-03 1.2096E-04 0.0000E+00 0.0000E+00 3.7223E-04 0.0000E+00 2.6835E-03 3.6363E-02 2.9014E-01 1.1189E-01 8.0191E-03 1.8240E-03 2.4768E-04 0.0000E+00 1.2191E-04 2.1167E-04 3.9476E-03 4.5801E-02 4.5600E-02 5.8784E-03 4.4705E-04 2.5150E-04 0.0000E+00 1.2574E-04 0.0000E+00 1.0596E-04 2.0495E-04 3.9854E-03 3.9839E-03 1.7751E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1362E-05 1.7242E-05 0.0000E+00 8.3657E-04 4.8683E-04 9.5949E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4028E-04 1.5242E-04 2.8433E-05 0.0000E+00 1.1845E-04 3.5388E-04 1.1255E-05 1.0839E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3762E-05 0.0000E+00 1.7190E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0374E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4651E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4625E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8374E-04 1.2325E-03 1.8011E-02 2.0682E-02 3.0849E-03 2.5436E-04 0.0000E+00 0.0000E+00 3.2117E-04 5.7471E-04 3.1204E-03 3.0700E-02 2.8585E-01 1.1091E-01 1.9186E-02 2.2246E-03 0.0000E+00 3.1881E-04 1.6239E-04 4.0600E-04 9.8520E-04 3.4114E-02 5.0246E-02 8.4095E-03 2.1272E-03 4.8247E-04 0.0000E+00 0.0000E+00 2.1233E-05 1.5876E-04 2.3395E-04 4.0329E-03 3.5942E-03 4.2999E-04 2.1316E-04 0.0000E+00 0.0000E+00 0.0000E+00 4.2855E-05 3.5794E-05 3.4656E-05 0.0000E+00 8.5779E-05 4.4467E-04 5.0020E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4096E-05 1.0513E-04 3.5217E-05 0.0000E+00 2.1271E-05 0.0000E+00 2.0641E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2848E-05 2.7247E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7882E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8574E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8089E-04 2.4335E-04 0.0000E+00 0.0000E+00 1.9242E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1718E-04 0.0000E+00 0.0000E+00 3.8458E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4298E-03 1.8677E-02 2.3635E-02 1.7639E-03 0.0000E+00 0.0000E+00 0.0000E+00 9.8440E-04 2.4906E-03 4.6765E-03 2.4352E-02 2.5772E-01 1.3572E-01 9.1614E-03 0.0000E+00 0.0000E+00 2.4988E-04 0.0000E+00 4.9825E-04 1.9840E-03 2.5160E-02 6.1544E-02 1.5128E-02 2.9828E-03 0.0000E+00 0.0000E+00 0.0000E+00 2.5184E-04 0.0000E+00 1.0351E-03 2.5716E-03 3.8042E-03 8.4657E-04 3.7878E-04 1.7176E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0747E-04 4.7183E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7297E-04 0.0000E+00 0.0000E+00 0.0000E+00 3.2182E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4403E-05 0.0000E+00 8.7089E-06 0.0000E+00 5.9291E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6301E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8910E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7773E-04 2.5946E-04 0.0000E+00 2.4911E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8760E-04 3.7472E-04 0.0000E+00 0.0000E+00 3.8125E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0206E-03 2.4370E-02 1.2841E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1462E-04 3.6338E-04 2.5387E-03 2.1069E-02 2.8312E-01 1.2713E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0553E-04 1.3026E-03 1.6190E-02 5.8205E-02 1.6050E-02 0.0000E+00 9.1624E-05 2.1542E-04 3.4388E-04 1.3096E-04 0.0000E+00 2.3229E-05 1.6625E-03 3.3999E-03 3.0378E-03 6.8803E-04 0.0000E+00 3.7079E-04 3.2301E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8114E-04 3.9052E-04 1.0077E-04 3.1853E-05 0.0000E+00 2.3214E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3227E-04 6.2828E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3821E-06 7.9886E-05 8.7075E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4108E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.7178E-04 1.5709E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6085E-03 0.0000E+00 0.0000E+00 0.0000E+00 1.0252E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0736E-03 4.6416E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0442E-03 0.0000E+00 5.7063E-04 0.0000E+00 7.1121E-03 4.3630E-01 0.0000E+00 1.0093E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2502E-03 8.4084E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2261E-04 4.8861E-03 0.0000E+00 8.3254E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9232E-05 2.8693E-04 3.3414E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3092E-04 2.0413E-04 0.0000E+00 0.0000E+00 2.3958E-05 1.3785E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.6781E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4573E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8334E-05 0.0000E+00 0.0000E+00 0.0000E+00 7.8404E-04 1.4415E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1130E-04 0.0000E+00 0.0000E+00 1.7490E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5561E-03 8.4365E-04 3.5420E-04 1.3449E-04 0.0000E+00 1.4209E-04 7.4828E-05 0.0000E+00 1.4116E-04 0.0000E+00 9.0059E-04 3.1305E-04 4.5996E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4151E-04 0.0000E+00 8.6091E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2903E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0479E-04 4.5436E-05 8.0002E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7667E-03 3.4450E-04 2.1201E-04 2.5543E-04 1.2607E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8522E-04 1.7355E-04 1.6190E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4807E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1562E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2727E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4076E-04 9.5026E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9787E-03 8.9060E-04 1.8958E-04 0.0000E+00 1.4465E-04 0.0000E+00 9.4399E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.5353E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5089E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9238E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9559E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6989E-03 5.6536E-04 7.6309E-05 7.6656E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5754E-02 1.7836E-03 9.0276E-04 0.0000E+00 0.0000E+00 7.6332E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2180E-03 5.0196E-04 1.9283E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3180E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.8828E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1035E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6876E-04 1.4366E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9662E-02 1.9871E-03 2.7703E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3208E-01 5.8577E-03 1.6241E-03 3.5809E-04 2.3059E-04 9.0367E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2529E-02 1.9140E-03 2.6606E-04 8.7892E-05 8.9856E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4332E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4824E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1648E-04 2.0874E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6102E-02 9.6078E-03 3.8351E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9934E-01 2.4942E-02 3.6357E-03 7.0829E-04 7.1643E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6076E-02 1.8039E-02 1.0926E-03 2.0742E-04 2.1029E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0564E-03 1.4494E-04 1.6931E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1282E-04 4.7336E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1614E-03 2.6195E-02 3.2879E-03 1.8551E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9204E-01 1.7212E-01 9.2457E-03 1.3355E-03 8.9015E-04 0.0000E+00 0.0000E+00 1.1991E-04 0.0000E+00 0.0000E+00 1.6634E-02 5.4085E-02 4.0231E-03 7.3765E-04 6.4685E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4178E-03 1.9982E-03 0.0000E+00 0.0000E+00 1.6041E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5682E-04 2.1030E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5719E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1854E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3406E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.3567E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2055E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6821E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9536E-04 1.5852E-02 1.6501E-02 1.3298E-03 7.5509E-05 1.1980E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6365E-02 3.3821E-01 1.1330E-01 6.2573E-03 1.6984E-03 2.3933E-04 7.5483E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.2283E-03 3.1383E-02 4.1304E-02 2.1188E-03 2.6750E-04 7.4225E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4682E-04 4.1008E-03 1.6918E-03 3.3164E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4240E-04 3.0116E-05 3.0090E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5061E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1563E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1566E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1449E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6114E-04 4.2544E-04 1.3953E-02 1.7208E-02 1.4122E-03 1.2036E-04 0.0000E+00 0.0000E+00 1.1589E-04 0.0000E+00 1.8132E-03 2.3673E-02 3.4510E-01 1.0126E-01 6.6590E-03 1.4044E-03 3.6045E-04 2.4014E-04 1.9213E-04 0.0000E+00 4.5342E-04 1.4814E-03 3.4352E-02 3.5924E-02 2.1797E-03 3.4617E-04 2.8054E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.6945E-06 5.9858E-04 4.2564E-03 2.1521E-03 6.9761E-05 1.9890E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1910E-04 2.8950E-04 1.9329E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1987E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5785E-04 3.1990E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9758E-04 1.3788E-02 1.9706E-02 2.0166E-03 2.5715E-04 2.4963E-04 0.0000E+00 0.0000E+00 3.5418E-04 1.1628E-03 3.9137E-02 3.2145E-01 1.1059E-01 6.2019E-03 8.0683E-04 3.2294E-04 0.0000E+00 0.0000E+00 1.5509E-04 2.0285E-04 1.4945E-03 3.6553E-02 3.5105E-02 2.4949E-03 5.1846E-04 4.0202E-05 0.0000E+00 0.0000E+00 0.0000E+00 8.6599E-06 1.4295E-04 7.9235E-05 3.2575E-03 2.2690E-03 7.0310E-05 2.2239E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5148E-05 9.9917E-05 6.5988E-05 8.7594E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4498E-06 1.7170E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7603E-04 1.7310E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0606E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7661E-04 1.0599E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0480E-04 1.0940E-02 1.5608E-02 2.7706E-03 2.8123E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.0979E-04 1.3810E-03 3.9501E-02 3.1994E-01 1.0338E-01 9.2693E-03 1.3048E-03 7.8080E-04 1.1032E-04 0.0000E+00 1.9827E-05 6.2052E-05 2.6102E-03 4.6107E-02 3.0341E-02 2.9718E-03 5.3628E-04 1.7314E-04 1.0961E-04 0.0000E+00 2.7016E-04 1.7863E-04 2.6098E-04 3.7323E-04 4.0529E-03 2.5986E-03 1.2185E-04 2.4526E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0477E-04 5.7829E-05 1.4348E-05 4.6615E-05 2.5865E-04 8.0112E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5190E-04 2.7151E-05 3.9892E-06 2.7307E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0640E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5784E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1963E-04 1.5617E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1193E-04 2.5336E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6026E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5145E-04 1.6227E-04 4.1782E-04 5.6135E-04 1.0525E-02 1.7711E-02 1.8887E-03 5.7663E-04 1.6057E-04 3.7131E-04 0.0000E+00 8.3257E-04 4.1734E-03 4.5153E-02 2.9079E-01 1.3173E-01 1.1256E-02 2.5440E-03 3.2305E-04 1.6292E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.9907E-03 3.6589E-02 3.5436E-02 5.6266E-03 1.7135E-04 2.5552E-04 0.0000E+00 2.9129E-05 1.1536E-04 1.4422E-05 2.8392E-05 5.0605E-04 4.4860E-03 3.8530E-03 1.7302E-04 1.3921E-05 0.0000E+00 1.6920E-04 2.1433E-05 1.2242E-04 6.9557E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.8856E-04 2.0750E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1647E-05 1.5856E-05 9.8450E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5393E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9265E-04 0.0000E+00 0.0000E+00 0.0000E+00 2.0133E-04 0.0000E+00 1.9511E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0737E-04 2.0144E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0496E-04 0.0000E+00 3.9415E-04 1.2600E-02 1.5542E-02 1.7877E-03 3.9093E-04 2.4999E-05 0.0000E+00 6.0390E-04 1.3137E-03 4.7431E-03 3.6026E-02 2.9085E-01 1.2720E-01 2.1644E-02 2.6142E-03 2.5655E-05 2.1838E-04 0.0000E+00 1.9872E-04 4.4564E-04 2.3317E-03 4.0237E-02 3.6598E-02 3.5324E-03 1.0981E-03 1.0141E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5000E-05 1.8091E-04 2.8248E-03 2.2663E-03 3.5037E-04 2.6000E-05 0.0000E+00 0.0000E+00 1.9908E-04 1.7138E-04 1.7718E-05 0.0000E+00 0.0000E+00 2.6029E-05 6.0984E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9928E-06 4.9590E-06 0.0000E+00 2.5073E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6874E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0901E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8099E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9771E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2935E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0996E-03 1.2300E-02 1.5705E-02 1.1642E-03 4.9367E-04 0.0000E+00 3.2893E-04 0.0000E+00 1.2263E-03 5.3928E-03 4.0469E-02 2.6001E-01 1.4436E-01 1.3782E-02 0.0000E+00 0.0000E+00 0.0000E+00 2.8751E-05 0.0000E+00 5.3839E-04 1.4268E-03 3.4043E-02 2.5120E-02 8.3805E-03 9.8389E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.3923E-05 4.2198E-05 0.0000E+00 3.0087E-04 6.5663E-03 2.5683E-03 2.8437E-04 1.9091E-04 0.0000E+00 3.2047E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.1705E-05 0.0000E+00 0.0000E+00 4.2571E-05 4.1997E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3338E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.7811E-04 2.9165E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0886E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8253E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8116E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1012E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6316E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3379E-04 1.1100E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1942E-03 1.9441E-02 1.0429E-02 3.2234E-04 0.0000E+00 0.0000E+00 3.2016E-04 1.1211E-03 3.0810E-04 2.2520E-03 2.2690E-02 3.0629E-01 1.3610E-01 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2001E-04 8.4156E-05 1.3131E-03 1.7291E-03 1.9101E-02 3.9895E-02 1.0301E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9334E-05 1.6316E-03 3.6188E-03 1.1901E-03 5.5957E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.8835E-05 3.1886E-04 0.0000E+00 2.8902E-05 3.3631E-04 3.7652E-04 3.8960E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0762E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3005E-05 4.1611E-07 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2925E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3339E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.4161E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6704E-04 8.6447E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0965E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9252E-02 0.0000E+00 1.2792E-03 0.0000E+00 0.0000E+00 8.6875E-04 0.0000E+00 1.2868E-03 8.3042E-04 8.6078E-03 4.4177E-01 4.5402E-04 2.3138E-04 0.0000E+00 0.0000E+00 8.6875E-04 0.0000E+00 1.1133E-04 0.0000E+00 0.0000E+00 1.0339E-02 6.9862E-02 1.5581E-04 1.2166E-04 0.0000E+00 0.0000E+00 7.4292E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.1323E-05 3.1807E-06 1.8478E-03 6.9311E-03 2.2795E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2734E-06 3.2857E-06 2.8632E-05 0.0000E+00 0.0000E+00 2.0865E-05 0.0000E+00 0.0000E+00 1.1124E-04 0.0000E+00 0.0000E+00 4.0356E-06 2.9944E-05 4.2130E-05 0.0000E+00 7.2958E-05 3.0490E-05 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5399E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5126E-04 0.0000E+00 1.5705E-04 0.0000E+00 0.0000E+00 1.5487E-04 9.8293E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9331E-05 0.0000E+00 8.9156E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0737E-03 1.6531E-03 7.6914E-04 4.5099E-04 0.0000E+00 0.0000E+00 5.9227E-05 3.1849E-05 9.3253E-05 9.2256E-05 9.2082E-05 1.1718E-03 1.7797E-04 1.5000E-04 2.7547E-04 1.7598E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9642E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3290E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1077E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6689E-03 1.5145E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4196E-02 5.5822E-03 1.4560E-03 1.2228E-04 3.0972E-04 0.0000E+00 6.1291E-05 0.0000E+00 0.0000E+00 0.0000E+00 5.8990E-05 1.2676E-02 9.9762E-04 5.8905E-05 9.5527E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3720E-04 2.6461E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8659E-05 3.5161E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1660E-02 1.5816E-03 2.2720E-04 8.2858E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1928E-01 9.6156E-02 5.4211E-03 9.3107E-04 1.5241E-04 1.6103E-04 2.1362E-04 7.1736E-06 0.0000E+00 0.0000E+00 0.0000E+00 4.5404E-02 2.1825E-02 1.3544E-03 1.9240E-04 7.7716E-05 7.1900E-06 1.1401E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8724E-04 0.0000E+00 1.1450E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8252E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4753E-04 7.9597E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6739E-02 1.7457E-02 1.5001E-03 8.8462E-05 9.0958E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8574E-02 3.3615E-01 1.0053E-01 3.3281E-03 7.4658E-04 8.9939E-05 0.0000E+00 1.4140E-04 0.0000E+00 0.0000E+00 0.0000E+00 8.1648E-03 5.0383E-02 2.2043E-02 1.1421E-03 7.4200E-05 8.2101E-06 1.6619E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.3014E-04 2.3992E-04 3.0733E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6880E-05 1.3985E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3822E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9516E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2125E-04 1.2449E-02 1.7489E-02 1.7138E-03 1.8795E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5385E-04 2.4354E-02 3.5886E-01 8.5459E-02 4.1923E-03 1.0944E-03 4.7020E-04 1.6550E-04 3.4410E-05 0.0000E+00 1.1339E-05 2.6812E-04 6.3682E-03 4.1763E-02 3.3953E-02 2.1663E-03 1.4336E-04 1.5392E-04 4.6192E-05 9.2866E-06 0.0000E+00 0.0000E+00 1.1547E-05 2.4770E-04 7.0097E-04 5.5914E-04 4.2840E-05 3.1167E-05 7.9777E-06 5.1339E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4842E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1644E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2177E-04 0.0000E+00 3.6982E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2107E-04 1.5252E-04 2.2077E-04 1.3598E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3115E-04 7.8897E-04 1.2832E-02 1.6428E-02 2.1149E-03 4.9211E-04 1.2022E-04 0.0000E+00 0.0000E+00 0.0000E+00 5.0393E-04 7.2803E-04 2.9187E-02 3.4805E-01 1.0242E-01 5.4540E-03 7.5827E-04 3.6437E-04 1.2356E-04 7.6990E-05 0.0000E+00 4.8009E-04 5.3253E-04 2.8605E-03 4.4761E-02 3.6831E-02 1.7309E-03 1.4756E-04 1.4828E-04 4.6529E-05 3.0875E-05 0.0000E+00 0.0000E+00 2.0198E-04 2.0150E-04 1.0672E-03 6.3438E-04 0.0000E+00 1.0969E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9911E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9756E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6787E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0251E-04 0.0000E+00 0.0000E+00 1.2940E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2363E-04 0.0000E+00 2.4269E-04 1.2917E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5901E-04 0.0000E+00 3.8564E-04 1.0122E-02 1.7286E-02 1.9904E-03 1.2622E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.6196E-04 3.8182E-04 1.0786E-03 3.5841E-02 3.4390E-01 8.7267E-02 6.4215E-03 7.8159E-04 9.4274E-05 0.0000E+00 1.1115E-05 2.3307E-04 3.7225E-04 4.2612E-04 3.1000E-03 5.0154E-02 3.4022E-02 2.0515E-03 4.4519E-04 2.8639E-05 0.0000E+00 0.0000E+00 0.0000E+00 2.0653E-04 6.1719E-05 3.2709E-04 7.2108E-04 5.1021E-04 3.9762E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8314E-04 1.6973E-04 1.4473E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0475E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8160E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7852E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.1771E-04 1.2546E-02 2.1037E-02 1.4314E-03 0.0000E+00 2.9096E-04 0.0000E+00 2.5566E-04 1.3566E-04 9.4748E-05 2.0384E-03 4.0952E-02 3.2503E-01 1.0295E-01 5.0350E-03 1.4899E-03 4.1451E-04 0.0000E+00 1.3527E-04 1.7660E-04 3.5275E-04 1.7799E-04 3.3881E-03 4.2202E-02 3.4997E-02 2.4148E-03 3.0317E-04 2.4344E-05 0.0000E+00 0.0000E+00 4.8369E-05 1.4464E-04 3.9772E-04 3.3117E-04 2.8064E-04 6.8245E-04 3.1691E-05 3.1807E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6017E-04 5.1223E-05 7.4935E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0255E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8251E-04 0.0000E+00 0.0000E+00 2.0422E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1789E-04 2.1856E-04 0.0000E+00 0.0000E+00 4.0617E-05 1.5731E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1955E-04 7.6558E-04 1.6225E-03 8.7563E-03 1.6680E-02 2.3989E-03 2.8786E-04 0.0000E+00 0.0000E+00 0.0000E+00 6.0305E-05 6.9024E-04 3.1793E-03 3.6956E-02 3.1304E-01 1.1182E-01 9.9931E-03 2.0317E-03 2.7777E-04 2.3683E-04 3.3649E-04 1.6968E-04 2.0438E-05 1.1584E-04 2.7642E-03 4.6756E-02 3.3305E-02 3.3689E-03 1.8898E-04 3.1938E-05 2.9684E-05 1.7705E-04 2.4662E-04 6.4730E-04 2.1455E-04 1.3382E-04 6.1803E-04 7.8188E-04 4.0036E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.0520E-05 1.0008E-04 2.2451E-04 1.2828E-04 1.2917E-04 1.5943E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0063E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5223E-04 0.0000E+00 0.0000E+00 4.5938E-05 4.0675E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3260E-05 7.3460E-04 7.0072E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.5258E-04 0.0000E+00 3.5009E-04 0.0000E+00 1.2341E-03 1.1799E-02 1.5560E-02 2.9591E-03 0.0000E+00 4.5658E-05 0.0000E+00 0.0000E+00 3.0039E-04 1.1289E-03 2.4368E-03 3.4303E-02 3.1796E-01 1.1325E-01 1.6480E-02 3.6702E-04 4.4748E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.1343E-04 1.0658E-03 4.1466E-03 4.5248E-02 3.8661E-02 4.9384E-03 8.8265E-04 0.0000E+00 0.0000E+00 6.5058E-05 9.7067E-05 0.0000E+00 0.0000E+00 3.9284E-04 2.8284E-04 1.1681E-03 1.2452E-04 4.4971E-05 0.0000E+00 0.0000E+00 1.9192E-04 8.5676E-06 0.0000E+00 0.0000E+00 0.0000E+00 4.5335E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2245E-05 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6663E-06 1.2602E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.1972E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9089E-05 1.0221E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6781E-06 2.9075E-04 1.7899E-04 6.6365E-06 0.0000E+00 5.3626E-05 2.7525E-04 5.5855E-05 9.8846E-04 3.2427E-06 1.7704E-05 1.5687E-03 1.8661E-02 9.3408E-03 3.0509E-06 1.1317E-04 1.3036E-04 2.4167E-04 3.8281E-05 6.8641E-04 1.7266E-04 4.4939E-03 2.8010E-02 3.1604E-01 1.1059E-01 5.8431E-05 0.0000E+00 0.0000E+00 0.0000E+00 3.3595E-04 1.7847E-04 1.1073E-04 1.6035E-04 1.1291E-03 2.1598E-02 5.1262E-02 8.1844E-03 6.8984E-04 0.0000E+00 0.0000E+00 1.6938E-04 2.5377E-04 0.0000E+00 0.0000E+00 9.9610E-05 8.5073E-05 3.0855E-04 2.7159E-04 1.0777E-04 6.9866E-05 2.3231E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2136E-06 2.7278E-05 0.0000E+00 0.0000E+00 1.5635E-04 4.8043E-06 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9070E-05 5.9139E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8998E-06 5.1131E-04 2.2921E-04 0.0000E+00 5.6711E-06 0.0000E+00 7.6047E-06 0.0000E+00 0.0000E+00 7.5746E-06 0.0000E+00 6.6559E-04 3.3681E-02 0.0000E+00 0.0000E+00 3.3330E-03 1.3508E-04 8.1973E-05 7.5461E-05 1.2568E-04 1.4145E-04 8.1662E-05 1.0195E-02 4.4016E-01 0.0000E+00 0.0000E+00 7.9242E-06 2.3194E-05 0.0000E+00 1.3632E-05 2.7480E-05 5.9066E-06 1.1717E-05 5.5663E-05 8.3607E-03 5.7629E-02 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9113E-06 0.0000E+00 2.6279E-04 1.0463E-03 0.0000E+00 0.0000E+00 7.1612E-05 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1738E-04 8.9688E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7727E-03 1.7681E-03 2.3368E-04 4.0007E-04 9.3410E-05 0.0000E+00 9.1541E-05 1.8141E-04 9.0939E-05 0.0000E+00 8.8104E-05 8.5624E-05 1.1044E-04 9.0899E-05 0.0000E+00 0.0000E+00 5.3514E-05 5.3870E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0034E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8575E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2305E-03 2.1196E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.4786E-02 6.0968E-03 1.0226E-03 1.2883E-04 2.1298E-04 0.0000E+00 1.2253E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2168E-03 7.6677E-04 3.9120E-04 8.2536E-05 5.0100E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.2316E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1008E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0865E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4567E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5931E-02 1.7318E-03 1.8819E-04 3.4139E-05 6.2425E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3224E-01 9.3834E-02 5.1306E-03 7.9569E-04 1.9784E-04 0.0000E+00 0.0000E+00 8.0942E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4515E-02 3.6299E-03 2.9911E-04 6.5219E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.0181E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3448E-04 9.6687E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0474E-03 1.5043E-02 1.7314E-03 1.2822E-04 0.0000E+00 0.0000E+00 2.9189E-05 9.3797E-06 0.0000E+00 0.0000E+00 0.0000E+00 4.1429E-02 3.6391E-01 9.9512E-02 6.5427E-03 1.0349E-03 2.2617E-04 1.1173E-04 7.9995E-05 1.9190E-05 9.2402E-06 9.2405E-06 9.6669E-06 1.3134E-02 2.4957E-02 4.0474E-03 1.5353E-04 3.2082E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0083E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3520E-04 1.4146E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.0954E-06 1.4005E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.6127E-05 3.5105E-05 1.6497E-04 8.1119E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4377E-04 4.4426E-03 1.5610E-02 6.8920E-04 7.7671E-05 8.0534E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7287E-03 3.8203E-02 3.5669E-01 1.2812E-01 4.9514E-03 8.0071E-04 1.6711E-04 2.7725E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3248E-03 1.1330E-02 3.1343E-02 2.4658E-03 1.3930E-04 4.7956E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2599E-04 1.0345E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0954E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3550E-04 0.0000E+00 0.0000E+00 8.3228E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3952E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9733E-04 4.2715E-04 1.9481E-05 1.1725E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9957E-05 3.5462E-04 8.1625E-03 1.0574E-02 9.1108E-04 1.1276E-04 4.2657E-05 0.0000E+00 1.1805E-05 0.0000E+00 0.0000E+00 9.4920E-04 1.5626E-03 3.0047E-02 3.8282E-01 1.0696E-01 3.3430E-03 6.9646E-04 9.9214E-05 1.7964E-04 4.2771E-05 0.0000E+00 0.0000E+00 2.2090E-04 5.3584E-04 1.7645E-02 2.6763E-02 2.7325E-03 1.5558E-04 1.9035E-05 7.7883E-06 0.0000E+00 0.0000E+00 0.0000E+00 1.1827E-05 4.0210E-04 2.5953E-04 7.7777E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2975E-06 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4463E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3904E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4538E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2687E-04 1.2073E-05 2.0530E-04 1.0328E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0152E-04 2.9368E-04 1.9810E-04 7.3096E-03 1.1947E-02 9.6370E-04 2.8938E-05 6.3753E-05 0.0000E+00 0.0000E+00 1.2200E-05 2.9936E-04 6.0574E-04 9.9599E-04 3.2824E-02 3.8962E-01 9.6430E-02 4.4499E-03 7.0307E-04 2.2903E-04 2.6477E-05 1.9537E-04 2.8319E-05 1.3862E-04 9.0674E-05 5.8424E-04 1.5433E-02 3.0594E-02 2.8902E-03 1.0752E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.3945E-06 1.0160E-04 3.6818E-04 2.7197E-04 9.3354E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8354E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2934E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3424E-04 0.0000E+00 2.0901E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7984E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2020E-05 2.1516E-04 1.7640E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.2922E-05 1.2394E-04 1.6478E-04 2.5377E-04 7.3231E-03 9.7995E-03 1.1381E-03 1.1896E-04 3.5926E-05 0.0000E+00 0.0000E+00 4.2556E-04 9.6801E-04 3.7836E-04 1.5731E-03 3.9251E-02 3.7085E-01 1.0184E-01 5.0243E-03 1.0974E-03 1.7742E-04 5.9421E-05 1.7202E-05 8.2174E-05 1.7535E-04 2.4464E-04 3.8219E-04 1.3749E-02 3.0284E-02 2.1909E-03 2.6585E-04 5.8971E-05 0.0000E+00 0.0000E+00 0.0000E+00 6.9569E-05 4.6260E-05 3.7389E-04 4.2167E-04 1.0561E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.9033E-05 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6606E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6134E-04 0.0000E+00 0.0000E+00 0.0000E+00 1.4481E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3133E-04 0.0000E+00 0.0000E+00 1.4430E-05 5.3466E-05 1.7485E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5867E-04 0.0000E+00 3.6229E-05 1.0274E-04 4.2792E-04 6.0449E-03 1.0007E-02 1.0778E-03 4.3928E-05 0.0000E+00 0.0000E+00 1.7725E-04 1.8853E-04 1.5723E-04 2.4209E-04 1.2793E-03 4.4631E-02 3.6268E-01 1.0503E-01 6.4844E-03 4.8767E-04 1.8562E-04 1.3993E-05 4.0467E-04 1.6872E-04 3.6325E-05 2.8756E-05 3.1967E-04 1.6399E-02 2.7333E-02 2.5796E-03 4.2333E-04 5.7480E-05 0.0000E+00 0.0000E+00 3.8853E-06 3.0307E-05 0.0000E+00 1.7357E-04 2.0134E-04 1.2269E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2257E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5390E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5023E-06 0.0000E+00 0.0000E+00 2.5312E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.5927E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0775E-04 0.0000E+00 4.0914E-04 3.0908E-04 2.3375E-05 9.1149E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0623E-04 2.3352E-04 2.2987E-05 2.3632E-05 3.3270E-05 2.4121E-04 7.2888E-03 1.2191E-02 7.7074E-04 1.8583E-04 0.0000E+00 2.1022E-04 2.8122E-04 2.0968E-04 2.2892E-05 5.5103E-04 1.5253E-03 4.2892E-02 3.3294E-01 1.3015E-01 1.2298E-02 1.8480E-03 2.1827E-04 2.3285E-04 2.5487E-04 0.0000E+00 0.0000E+00 1.0353E-04 1.0689E-03 1.4221E-02 2.5729E-02 4.3874E-03 2.4358E-04 1.1262E-04 0.0000E+00 2.5196E-05 7.3713E-05 3.2108E-05 1.0674E-04 4.1027E-04 1.2932E-03 1.0155E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3674E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.4350E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5552E-05 1.3567E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6487E-05 1.2060E-04 8.0270E-05 5.0399E-04 6.5906E-03 1.0679E-02 1.3300E-03 4.0483E-05 4.8818E-04 9.5080E-05 4.0250E-05 4.0483E-05 2.9522E-04 8.9478E-04 3.1226E-03 4.1301E-02 3.0882E-01 1.3223E-01 1.9111E-02 1.6056E-03 0.0000E+00 0.0000E+00 0.0000E+00 9.3633E-05 1.4835E-04 3.5827E-04 1.6992E-03 1.6446E-02 2.6210E-02 5.0219E-03 8.2815E-04 7.8853E-05 0.0000E+00 0.0000E+00 1.1143E-05 0.0000E+00 1.4874E-05 5.0475E-04 5.6000E-04 1.5373E-05 4.0853E-05 0.0000E+00 0.0000E+00 3.1172E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6649E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9478E-05 2.2326E-05 2.5853E-06 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9247E-04 2.4087E-04 3.2555E-05 0.0000E+00 0.0000E+00 2.6535E-06 0.0000E+00 0.0000E+00 1.9153E-04 9.5520E-05 3.7957E-05 7.4716E-04 9.8003E-03 9.4248E-03 2.7944E-04 4.3998E-06 2.6647E-04 9.3177E-05 5.3636E-04 6.3535E-04 1.4412E-04 9.7244E-04 1.3744E-03 5.4952E-02 3.1011E-01 1.5337E-01 4.3368E-03 2.1252E-04 1.0312E-03 5.8869E-04 5.0467E-04 3.7134E-04 9.7197E-06 1.0394E-04 2.5275E-04 1.9028E-02 2.3950E-02 8.1082E-03 1.3048E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5170E-04 1.5500E-04 9.3874E-04 1.5077E-04 0.0000E+00 0.0000E+00 2.6353E-04 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0756E-06 1.6755E-05 9.8453E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0666E-06 2.0714E-06 9.9600E-05 2.4667E-04 2.4783E-05 0.0000E+00 6.8408E-05 9.6680E-06 1.9919E-06 2.8176E-06 2.7320E-06 1.8281E-05 6.2494E-05 6.5193E-04 1.1077E-02 4.6787E-03 8.1095E-04 9.3166E-04 1.9747E-06 1.1459E-04 1.2077E-04 9.3154E-05 2.4750E-04 3.3688E-04 1.3715E-03 3.7519E-02 3.7961E-01 8.8739E-02 0.0000E+00 6.7249E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0048E-04 1.3740E-05 3.3499E-05 8.3232E-04 8.6317E-03 4.1900E-02 3.7129E-03 0.0000E+00 3.7818E-04 8.5261E-04 2.6686E-05 0.0000E+00 0.0000E+00 1.0423E-05 4.4268E-05 3.0308E-04 3.4116E-04 0.0000E+00 6.3323E-04 2.1860E-05 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.1774E-05 4.1716E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0198E-04 7.0885E-04 0.0000E+00 0.0000E+00 1.5831E-05 9.8571E-06 0.0000E+00 0.0000E+00 1.5831E-05 0.0000E+00 1.5819E-05 7.2823E-04 2.2681E-02 2.6301E-03 0.0000E+00 2.9288E-05 1.7354E-04 1.3724E-04 4.0819E-05 1.6311E-04 7.1162E-04 1.6303E-04 5.5019E-04 2.2116E-02 4.4056E-01 9.9811E-06 0.0000E+00 0.0000E+00 2.6245E-03 6.6985E-04 0.0000E+00 1.3176E-05 6.0903E-05 0.0000E+00 1.9940E-05 1.3773E-02 4.6912E-02 0.0000E+00 1.3289E-03 2.2876E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1654E-04 5.3423E-04 0.0000E+00 1.4810E-04 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.8956E-04 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5314E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5540E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6118E-04 1.5471E-03 1.1399E-02 6.9242E-03 4.6118E-05 1.0157E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3434E-03 3.6285E-02 3.7032E-01 9.3237E-02 3.2631E-03 3.8823E-04 1.1274E-04 8.1334E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4796E-02 1.7815E-02 1.3171E-03 5.1397E-05 4.6283E-05 4.5814E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2686E-06 0.0000E+00 ; 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0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5789E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8415E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.8806E-05 0.0000E+00 0.0000E+00 0.0000E+00 1.0299E-03 2.2994E-04 1.3807E-04 0.0000E+00 0.0000E+00 3.9963E-05 7.6773E-04 9.4267E-03 6.2239E-03 9.0863E-04 0.0000E+00 0.0000E+00 6.3419E-04 4.1409E-04 3.8974E-05 9.7642E-05 1.7815E-04 5.6885E-04 4.8773E-02 3.3263E-01 1.1582E-01 9.4172E-03 7.0391E-04 0.0000E+00 4.0216E-04 2.2247E-04 8.3541E-05 1.4536E-04 1.4520E-03 2.1804E-02 1.9703E-02 2.1739E-03 1.7753E-04 5.8694E-05 0.0000E+00 1.0447E-03 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1985E-03 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.9556E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7635E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4515E-04 7.0474E-05 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2539E-06 0.0000E+00 7.0609E-05 1.9319E-04 1.4944E-03 1.2289E-02 7.7333E-03 7.0468E-04 9.2532E-06 0.0000E+00 3.0188E-06 2.4199E-04 1.0150E-05 2.2365E-04 4.2967E-04 1.2377E-03 5.3459E-02 3.4040E-01 1.2430E-01 1.4460E-02 2.6834E-04 1.2348E-03 4.2353E-04 1.1793E-04 1.9309E-05 6.1492E-04 1.2978E-03 1.8340E-02 2.0301E-02 2.9863E-03 2.5118E-04 2.0916E-04 1.0648E-03 0.0000E+00 ; 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.8024E-06 3.4673E-05 8.2992E-06 0.0000E+00 0.0000E+00 0.0000E+00 3.4419E-06 3.4243E-06 0.0000E+00 0.0000E+00 4.5504E-06 1.3913E-05 1.6965E-04 1.6224E-03 9.6164E-03 4.3697E-03 3.8484E-05 0.0000E+00 1.1869E-04 6.8723E-06 3.2867E-06 3.3270E-06 1.0550E-04 4.3731E-04 2.6126E-03 5.1567E-02 3.4129E-01 1.3603E-01 3.1244E-03 0.0000E+00 9.3758E-05 1.1455E-04 0.0000E+00 5.4327E-05 1.8597E-05 1.5512E-03 1.8737E-02 2.4863E-02 3.2463E-03 1.7894E-04 4.1282E-04 4.5255E-05 ; 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1.589948
537,224
using ColorSchemes using ColorTypes using Images using Optim using Random include("functions.jl") include("../OptMaps.jl") using .OptMaps dimensions = [3, 5, 7, 10, 20] all_funcs = Dict() func_types = ["sphere", "rastrigin", "rosenbrock", "styblinskitang", "linear"] funcs = [get_sphere_funcs, get_rastrigin_funcs, get_rosenbrock_funcs, get_styblinskitang_funcs, get_linear_funcs] for (ftype, fs) in zip(func_types, funcs) all_funcs[ftype] = fs(dimensions) end solvers = [NelderMead, LBFGS, GradientDescent, SimulatedAnnealing, ConjugateGradient, Newton] solver_names = ["NelderMead", "LBFGS", "GradientDescent", "SimulatedAnnealing", "ConjugateGradient", "Newton"] starting_points = ["half", "ones", "two_and_half", "threes", "rand"] starting_points_elt = [0.5, 1.0, 2.5, 3.0, 0.0] Random.seed!(787) for ftype in func_types fs = all_funcs[ftype] for dim in dimensions println("Function: $ftype, dimensions: $dim") variable_domains = convert(Array{Tuple{Float64,Float64},1}, []) variable_names = convert(Array{String,1}, []) for i in 1:dim push!(variable_domains, (-5.0,5.0)) push!(variable_names, string(i)) end O = OptMap(variable_names, variable_domains, fs[dim]; verbose=true) create_map!(O) for (starting_point, starting_point_elt) in zip(starting_points, starting_points_elt) if starting_point == "rand" initial_x = (rand(Float64, dim) .* 10.0) .- 5.0 else initial_x = zeros(Float64, dim) initial_x = initial_x .+ starting_point_elt end for (solver, solver_name) in zip(solvers, solver_names) result = optimize(fs[dim], initial_x, solver(), Optim.Options(store_trace = true, extended_trace=true); autodiff = :forward) result_log = "$(ftype)_$(dim)_$(solver_name)_$(starting_point)_optmap.log" open(result_log, "w") do f println(f, "$(ftype), $(dim) dims, $solver_name - starting from $starting_point") println(f, "$(initial_x)") print(f, result) end println("#######################################################") println("$solver_name - $starting_point") if solver_name == "NelderMead" tr = Optim.trace(result) points = [state.metadata["centroid"] for state in tr] else points = Optim.x_trace(result) end solution_path = zeros(Float64, length(variable_names), length(points)) for i in 1:length(points) for j in 1:length(variable_names) solution_path[j, i] = points[i][j] end end draw_solution!(O, solution_path) save_all(O, "$(ftype)_$(dim)_$(solver_name)_$(starting_point)", ".") end end O = nothing end end
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2.038944
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using Documenter, EntropicCone makedocs( sitename = "EntropicCone", # See https://github.com/JuliaDocs/Documenter.jl/issues/868 html_prettyurls = get(ENV, "CI", nothing) == "true", pages = [ "Index" => "index.md", "Introduction" => "intro.md", "Entropic Vector" => "vector.md", ], # The following ensures that we only include the docstrings from # this module for functions define in Base that we overwrite. modules = [EntropicCone] ) deploydocs( repo = "github.com/blegat/EntropicCone.jl.git", )
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using FLOWMath using Test @testset "FLOWMath.jl" begin # Write your own tests here. end
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2.735294
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using Revise using ADSeismic using ADCME using PyPlot using MAT using DelimitedFiles using JLD2 using PyCall matplotlib.use("Agg") close("all") ADCME.options.customop.verbose = false output_dir = "data/elastic" if !ispath(output_dir) mkpath(output_dir) end ################### Generate synthetic data ##################### reset_default_graph() mpi_init() # model_name = "models/marmousi2-model-true-large.mat" # model_name = "models/marmousi2-model-true.mat" # model_name = "models/BP-model-true.mat" model_name = "models/marmousi2-model-smooth.mat" param = load_params(model_name, "MPIElastic") compute_PML_Params!(param) vp = matread(model_name)["vp"] vs = matread(model_name)["vs"] rho = matread(model_name)["rho"] ## vs = matread("models/marmousi2-model-true.mat")["vs"] rho = matread("models/marmousi2-model-true.mat")["rho"] @info "loading data..." @load "data/data$(mpi_rank())-$(mpi_size()).jld2" Rs vp_ = Variable(vp) var_size = size(vp_) vp = mpi_bcast(vp_) vs = constant(vs) rho = constant(rho) vp = extract_local_patch(param, vp, tag = 0) vs = extract_local_patch(param, vs, deps = sum(vp), tag = 810000) rho = extract_local_patch(param, rho, deps = sum(vs), tag = 820000) λ, μ, ρ = compute_lame_parameters(vp, vs, rho) # src = load_elastic_source(model_name, use_mpi=true, param=param)[4:4] # receiver = load_elastic_receiver(model_name, use_mpi=true, param=param)[4:4] # propagator = x->MPIElasticPropagatorSolver(param, x, ρ, λ, μ) # [MPISimulatedObservation!(propagator(src[i]), receiver[i]) for i = 1:length(src)] src = load_elastic_source(model_name, use_mpi=true, param=param) receiver = load_elastic_receiver(model_name, use_mpi=true, param=param) Rs_ = [] Vs_ = [] # for i = 1:length(src) local_loss = constant(0.0) for i = 1:4 rcvv = Rs[i] src_ = src[i] receiver_ = receiver[i] propagator = MPIElasticPropagatorSolver(param, src_, ρ, λ, μ; tag_offset = i*100000, dep = length(Vs_)==0 ? nothing : sum(Vs_[end])) MPISimulatedObservation!(propagator, receiver_) push!(Rs_, receiver_.rcvv) push!(Vs_, propagator.vy) if !isnothing(rcvv) global local_loss += sum((receiver_.rcvv - rcvv )^2) end end local_loss += sum(Vs_[end]) * 1e-20 loss = mpi_sum(local_loss) * 1e7 g = gradients(loss, vp_) py""" from tensorflow.core.protobuf import rewriter_config_pb2 import tensorflow as tf config = tf.ConfigProto(inter_op_parallelism_threads=1) off = rewriter_config_pb2.RewriterConfig.OFF config.graph_options.rewrite_options.memory_optimization = off """ session_conf = py"config" sess = Session(config = session_conf); init(sess) @info "running loss" @info run(sess, loss) @info "running gradients" @info run(sess, g) # using ADOPT # @info "starting..." # @info "initial local loss = $(run(sess, local_loss)) at rank = $(mpi_rank())" # function calculate_loss(x) # x = reshape(x, var_size) # L = run(sess, loss, vp_=>x) # L # end # iter = 0 # iter_result = Array{Float64, 2}[] # function calculate_gradients(G, x) # x = reshape(x, var_size) # G[:] = run(sess, g, vp_=>x) # if iter % 1 == 0 # clf() # pcolormesh(x', cmap="jet") # gca().invert_yaxis() # colorbar() # savefig("test_figures/x-$(iter).png") # end # global iter += 1 # end # losses = Float64[] # function step_callback(x) # @info "loss = $x" # push!(losses, x) # end # initial_x = run(sess, vp_) # options = Options() # result = ADOPT.mpi_optimize(calculate_loss, calculate_gradients, initial_x[:], LBFGS(), options; step_callback = step_callback) # if mpi_rank()==0 && mpi_size()==1 # ii = 1 # source number # u = run(sess, propagator(src[ii]).vx) # p = visualize_wavefield(u, param) # saveanim(p, "marmousi-wavefield.gif") # end if mpi_size()>1 mpi_finalize() end
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@testset "Integration tests" begin include("integration/json.jl") include("integration/basic-read.jl") end
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function resolve_import(x, state::State) u = typof(x) === Using i = 2 n = length(x.args) root = par = getsymbolserver(state.server) bindings = [] while i <= length(x.args) arg = x.args[i] if isidentifier(arg) || typof(arg) === CSTParser.MacroName if refof(x.args[i]) !== nothing par = refof(x.args[i]) else par = _get_field(par, arg, state) end elseif typof(arg) === PUNCTUATION && kindof(arg) == CSTParser.Tokens.COMMA # end of chain, make available if i > 2 _mark_import_arg(x.args[i - 1], par, state, u) end par = root elseif typof(arg) === OPERATOR && kindof(arg) == CSTParser.Tokens.COLON root = par if par != nothing && i > 2 && isidentifier(x.args[i-1]) && refof(x.args[i-1]) === nothing setref!(x.args[i-1], par) end elseif typof(arg) === PUNCTUATION && kindof(arg) == CSTParser.Tokens.DOT #dot between identifiers if par != nothing && i > 2 && isidentifier(x.args[i-1]) && refof(x.args[i-1]) === nothing setref!(x.args[i-1], par) end elseif typof(arg) === OPERATOR && kindof(arg) == CSTParser.Tokens.DOT #dot prexceding identifiser if par == root == getsymbolserver(state.server) par = state.scope elseif par isa Scope && parentof(par) !== nothing par = parentof(par) else return end else return end if i == n _mark_import_arg(x.args[i], par, state, u) end i += 1 end end function _mark_import_arg(arg, par, state, u) if par != nothing && (typof(arg) === IDENTIFIER || typof(arg) === MacroName) if par isa Binding #mark reference to binding push!(par.refs, arg) end if bindingof(arg) === nothing arg.binding = Binding(CSTParser.str_value(arg), par, _typeof(par), [], nothing) end if u && par isa SymbolServer.ModuleStore if state.scope.modules isa Dict state.scope.modules[valof(arg)] = par else state.scope.modules = Dict(valof(arg) => par) end elseif u && par isa Binding && par.val isa SymbolServer.ModuleStore if state.scope.modules isa Dict state.scope.modules[valof(arg)] = par.val else state.scope.modules = Dict(valof(arg) => par.val) end elseif u && par isa Binding && par.val isa EXPR && typof(par.val) === CSTParser.ModuleH if state.scope.modules isa Dict state.scope.modules[valof(arg)] = scopeof(par.val) else state.scope.modules = Dict(valof(arg) => scopeof(par.val)) end elseif u && par isa Binding && par.val isa Binding && par.val.val isa EXPR && typof(par.val.val) === CSTParser.ModuleH if state.scope.modules isa Dict state.scope.modules[valof(arg)] = scopeof(par.val.val) else state.scope.modules = Dict(valof(arg) => scopeof(par.val.val)) end end end end function _get_field(par, arg, state) if par isa Dict{String, SymbolServer.ModuleStore} #package store if haskey(par, CSTParser.str_value(arg)) return par[CSTParser.str_value(arg)] end elseif par isa Scope if haskey(par.names, valof(arg)) return par.names[valof(arg)] end elseif par isa Binding if par.val isa EXPR && typof(par.val) === ModuleH if scopeof(par.val) isa Scope && haskey(scopeof(par.val).names, valof(arg)) return scopeof(par.val).names[valof(arg)] end elseif par.val isa SymbolServer.ModuleStore if haskey(par.val.vals, CSTParser.str_value(arg)) par = par.val.vals[CSTParser.str_value(arg)] if par isa SymbolServer.PackageRef # reference to dependency return SymbolServer._lookup(par, getsymbolserver(state.server)) end return par end end elseif par isa SymbolServer.ModuleStore # imported module if haskey(par.vals, CSTParser.str_value(arg)) par = par.vals[CSTParser.str_value(arg)] if par isa SymbolServer.PackageRef # reference to dependency return SymbolServer._lookup(par, getsymbolserver(state.server)) end return par end end return end _typeof(x) = nothing
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##Reineke SDI chart #using Gadfly using Plots; gr() function sdi_chart(tpa,qmd;max_sdi=450) sdi=max_sdi diarng=collect(1:20) tparng=[1,1200] maxline=sdi./(((diarng)./10.0).^1.605) comp_mortline=maxline*0.55 crown_closeline=maxline*0.35 myxticks=[1,5,10,50,100,500,1000] myyticks=[1,2,5,10,20] plot(crown_closeline,diarng,color=:green) plot!(comp_mortline,diarng,color=:orange) plot!(maxline,diarng,color=:red, xscale=:log10, yscale=:log10, xlabel="Trees Per Acre", ylabel="Quadratic Mean Diameter", legend=false) annotate!([(80, 18, text("35%",10)), (160, 18, text("55%",10)), (320, 18, text("100%",10)) ]) scatter!((tpa,qmd)) end #end function
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type Tokenizer dict::IdDict tagset::Tagset model end function Tokenizer() dict = IdDict(String["UNKNOWN", " ", "\n"]) T = Float32 x = GraphNode() x = window(x, (7,), pad=3) x = GraphNode(constant, x) x = Embedding(T,300,10)(x) x = Linear(T,70,70)(x) x = relu(x) x = Linear(T,70,3)(x) f = compile(x) Tokenizer(dict, IOE(), f) end function (t::Tokenizer)(chars::Vector{Char}) unk = t.dict["UNKNOWN"] x = map(chars) do c get(t.dict, string(c), unk) end y = t.model(x).data tags = argmax(y,1) decode(t.tagset, tags) end (t::Tokenizer)(str::String) = t(Vector{Char}(str))
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2.034056
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function palign( lseq, J::Array{Float64,4}, h::Array{Float64,2}, λo::Array{Float64,1}, λe::Array{Float64,1}; verbose::Bool = true, maxiter::Integer = 100, nprint::Integer = 500, epsconv::Real = 1e-4, seed::Int = 0, damp::Real = 0, μint::Real = 1.0, μext::Real = 1.0, λ::Real = 1.0, T0::Bool = false, mindec::Int = 10, ctype::Symbol = "amino", ) Random.seed!(seed) en = Inf seq = Seq(lseq.header, lseq.strseq, lseq.intseq, ctype) # crappy way to avoid recompilation jh = Jh(J, h) alg = Alg(verbose, maxiter, epsconv, mindec, damp, μext, λo, λe, μint, nprint) pbf = PBF(jh, seq) aux = lseq.strseq allvar = AllVar(pbf, jh, seq, alg) @extract pbf:L N @extract pbf:newP if T0 == false if verbose println("Run Belief Propagation, large-connectivity approximation, for proteins alignment") println("L $L = length of the Potts model") println("N $N = length of the sequence A to be aligned") println("A: $aux") end maxiter, flagconv, en = update!(allvar) else if verbose println("Run Belief Propagation, large-connectivity approximation, for proteins alignment") println("L $L = length of the Potts model") println("N $N = length of the sequence A to be aligned") println("A: $aux") println("T = 0, using β → +∞ limit") end maxiter, flagconv, en = updateT0!(allvar) end return maxiter, flagconv, allvar, en end function palign( filefasta::String, J::Array{Float64,4}, h::Array{Float64,2}, λo::Array{Float64,1}, λe::Array{Float64,1}, ctype::Symbol; kwdargs..., ) seq = readunalignedfasta(filefasta, ctype)[1] palign(seq, J, h; kwdargs...) end
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2.096956
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isdefined(Base, :__precompile__) && __precompile__() module PeaksAndValleys using Compat export PEAK, VALLEY export identify_initial_pivot, peak_valley_pivots, max_drawdown export compute_segment_returns, pivots_to_modes @compat const PEAK, VALLEY = Int8(1), Int8(-1) """Quickly identify the xs[1] as a peak or valley.""" function identify_initial_pivot(xs, up_thresh, down_thresh) x_1 = xs[1] max_x = x_1 max_t = 1 min_x = x_1 min_t = 1 up_thresh += 1 down_thresh += 1 for (t, x_t) in enumerate(xs[2:end]) t += 1 # I wish Julia had an enumerate(*,from=X) if x_t / min_x >= up_thresh return min_t == 1 ? VALLEY : PEAK end if x_t / max_x <= down_thresh return max_t == 1 ? PEAK : VALLEY end if x_t > max_x max_x = x_t max_t = t end if x_t < min_x min_x = x_t min_t = t end end x_1 < xs[length(xs)] ? VALLEY : PEAK end """ Finds the peaks and valleys of a series. Parameters --- - **xs** : This is your series. - **up_thresh** : The minimum relative change necessary to define a peak. - **down_thesh** : The minimum relative change necessary to define a valley. Returns --- an array with 0 indicating no pivot and -1 and 1 indicating valley and peak respectively. The First and Last Elements --- The first and last elements are guaranteed to be annotated as peak or valley even if the segments formed do not have the necessary relative changes. This is a tradeoff between technical correctness and the propensity to make mistakes in data analysis. The possible mistake is ignoring data outside the fully realized segments, which may bias analysis. """ function peak_valley_pivots(xs, up_thresh, down_thresh) assert(down_thresh < 0) # "It must be negative. initial_pivot = identify_initial_pivot(xs, up_thresh, down_thresh) t_n = length(xs) pivots = zeros(Int8, t_n) pivots[1] = initial_pivot # Adding one to the relative change thresholds saves operations. Instead # of computing relative change at each point as x_j / x_i - 1, it is # computed as x_j / x_1. Then, this value is compared to the threshold + 1. # This saves (t_n - 1) subtractions. up_thresh += 1 down_thresh += 1 trend = -initial_pivot last_pivot_t = 1 last_pivot_x = xs[1] for (t, x) in enumerate(xs[2:end]) t += 1 r = x / last_pivot_x if trend == -1 if r >= up_thresh pivots[last_pivot_t] = trend trend = 1 last_pivot_x = x last_pivot_t = t elseif x < last_pivot_x last_pivot_x = x last_pivot_t = t end else if r <= down_thresh pivots[last_pivot_t] = trend trend = -1 last_pivot_x = x last_pivot_t = t elseif x > last_pivot_x last_pivot_x = x last_pivot_t = t end end end pivots[t_n] == 0 && (pivots[t_n] = trend) return pivots end """ Return the absolute value of the maximum drawdown of sequence X. Note --- If the sequence is increasing, 0 is returned.""" function max_drawdown(xs) mdd = 0 peak = xs[1] for x in xs if x > peak peak = x end dd = (peak - x) / peak if dd > mdd mdd = dd end end return mdd end """Return a numpy array of the pivot-to-pivot returns for each segment.""" function compute_segment_returns(xs, pivots) pivot_points = xs[pivots .!= 0] return pivot_points[2:end] ./ pivot_points[1:end-1] - 1.0 end """ Translate pivots into trend modes. Parameters --- pivots : the result of calling `peak_valley_pivots` Returns --- A vector of trend modes. That is, between (VALLEY, PEAK] it is 1 and between (PEAK, VALLEY] it is -1. """ function pivots_to_modes(pivots) modes = zeros(Int8, length(pivots)) modes[1] = pivots[1] mode = -modes[1] for (t, x) in enumerate(pivots[2:end]) if x != 0 modes[t+1] = mode mode = -x else modes[t+1] = mode end end modes end end
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2.16349
1,994
# This file is a part of Julia. License is MIT: http://julialang.org/license ## from base/boot.jl: # # immutable String <: AbstractString # data::Vector{UInt8} # end # ## basic UTF-8 decoding & iteration ## is_surrogate_lead(c::Unsigned) = ((c & ~0x003ff) == 0xd800) is_surrogate_trail(c::Unsigned) = ((c & ~0x003ff) == 0xdc00) is_surrogate_codeunit(c::Unsigned) = ((c & ~0x007ff) == 0xd800) is_valid_continuation(c) = ((c & 0xc0) == 0x80) const utf8_offset = [ 0x00000000, 0x00003080, 0x000e2080, 0x03c82080, 0xfa082080, 0x82082080, ] const utf8_trailing = [ 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, 2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2, 3,3,3,3,3,3,3,3,4,4,4,4,5,5,5,5, ] ## required core functionality ## function endof(s::String) d = s.data i = length(d) @inbounds while i > 0 && is_valid_continuation(d[i]) i -= 1 end i end function length(s::String) d = s.data cnum = 0 for i = 1:length(d) @inbounds cnum += !is_valid_continuation(d[i]) end cnum end @noinline function slow_utf8_next(d::Vector{UInt8}, b::UInt8, i::Int) # potentially faster version # d = s.data # a::UInt32 = d[i] # if a < 0x80; return Char(a); end # #if a&0xc0==0x80; return '\ufffd'; end # b::UInt32 = a<<6 + d[i+1] # if a < 0xe0; return Char(b - 0x00003080); end # c::UInt32 = b<<6 + d[i+2] # if a < 0xf0; return Char(c - 0x000e2080); end # return Char(c<<6 + d[i+3] - 0x03c82080) if is_valid_continuation(b) throw(UnicodeError(UTF_ERR_INVALID_INDEX, i, d[i])) end trailing = utf8_trailing[b + 1] if length(d) < i + trailing return '\ufffd', i+1 end c::UInt32 = 0 for j = 1:(trailing + 1) c <<= 6 c += d[i] i += 1 end c -= utf8_offset[trailing + 1] return Char(c), i end @inline function next(s::String, i::Int) # function is split into this critical fast-path # for pure ascii data, such as parsing numbers, # and a longer function that can handle any utf8 data d = s.data b = d[i] if b < 0x80 return Char(b), i + 1 end return slow_utf8_next(d, b, i) end function first_utf8_byte(ch::Char) c = UInt32(ch) b = c < 0x80 ? c%UInt8 : c < 0x800 ? ((c>>6) | 0xc0)%UInt8 : c < 0x10000 ? ((c>>12) | 0xe0)%UInt8 : ((c>>18) | 0xf0)%UInt8 return b end function reverseind(s::String, i::Integer) j = length(s.data) + 1 - i d = s.data while is_valid_continuation(d[j]) j -= 1 end return j end ## overload methods for efficiency ## sizeof(s::String) = sizeof(s.data) isvalid(s::String, i::Integer) = (1 <= i <= endof(s.data)) && !is_valid_continuation(s.data[i]) const empty_utf8 = String(UInt8[]) function getindex(s::String, r::UnitRange{Int}) isempty(r) && return empty_utf8 i, j = first(r), last(r) d = s.data if i < 1 || i > length(s.data) throw(BoundsError(s, i)) end if is_valid_continuation(d[i]) throw(UnicodeError(UTF_ERR_INVALID_INDEX, i, d[i])) end if j > length(d) throw(BoundsError()) end j = nextind(s,j)-1 String(d[i:j]) end function search(s::String, c::Char, i::Integer) if i < 1 || i > sizeof(s) i == sizeof(s) + 1 && return 0 throw(BoundsError(s, i)) end d = s.data if is_valid_continuation(d[i]) throw(UnicodeError(UTF_ERR_INVALID_INDEX, i, d[i])) end c < Char(0x80) && return search(d, c%UInt8, i) while true i = search(d, first_utf8_byte(c), i) (i==0 || s[i] == c) && return i i = next(s,i)[2] end end function rsearch(s::String, c::Char, i::Integer) c < Char(0x80) && return rsearch(s.data, c%UInt8, i) b = first_utf8_byte(c) while true i = rsearch(s.data, b, i) (i==0 || s[i] == c) && return i i = prevind(s,i) end end function string(a::String...) if length(a) == 1 return a[1]::String end # ^^ at least one must be UTF-8 or the ASCII-only method would get called data = Array{UInt8}(0) for d in a append!(data,d.data) end String(data) end function string(a::Union{String,Char}...) s = Array{UInt8}(0) for d in a if isa(d,Char) c = UInt32(d::Char) if c < 0x80 push!(s, c%UInt8) elseif c < 0x800 push!(s, (( c >> 6 ) | 0xC0)%UInt8) push!(s, (( c & 0x3F ) | 0x80)%UInt8) elseif c < 0x10000 push!(s, (( c >> 12 ) | 0xE0)%UInt8) push!(s, (((c >> 6) & 0x3F ) | 0x80)%UInt8) push!(s, (( c & 0x3F ) | 0x80)%UInt8) elseif c < 0x110000 push!(s, (( c >> 18 ) | 0xF0)%UInt8) push!(s, (((c >> 12) & 0x3F ) | 0x80)%UInt8) push!(s, (((c >> 6) & 0x3F ) | 0x80)%UInt8) push!(s, (( c & 0x3F ) | 0x80)%UInt8) else # '\ufffd' push!(s, 0xef); push!(s, 0xbf); push!(s, 0xbd) end else append!(s,(d::String).data) end end String(s) end function reverse(s::String) dat = s.data n = length(dat) n <= 1 && return s buf = Vector{UInt8}(n) out = n pos = 1 @inbounds while out > 0 ch = dat[pos] if ch > 0xdf if ch < 0xf0 (out -= 3) < 0 && throw(UnicodeError(UTF_ERR_SHORT, pos, ch)) buf[out + 1], buf[out + 2], buf[out + 3] = ch, dat[pos + 1], dat[pos + 2] pos += 3 else (out -= 4) < 0 && throw(UnicodeError(UTF_ERR_SHORT, pos, ch)) buf[out+1], buf[out+2], buf[out+3], buf[out+4] = ch, dat[pos+1], dat[pos+2], dat[pos+3] pos += 4 end elseif ch > 0x7f (out -= 2) < 0 && throw(UnicodeError(UTF_ERR_SHORT, pos, ch)) buf[out + 1], buf[out + 2] = ch, dat[pos + 1] pos += 2 else buf[out] = ch out -= 1 pos += 1 end end String(buf) end write(io::IO, s::String) = write(io, s.data) pointer(x::String) = pointer(x.data) pointer(x::String, i::Integer) = pointer(x.data)+(i-1) convert(::Type{String}, s::String) = s convert(::Type{String}, v::Vector{UInt8}) = String(v)
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struct BSONError _wrap_::Vector{UInt8} BSONError() = new(alloc_buf(512)) end export BSONError const domainDescs = Dict{Int64,AbstractString}(1 => "JSON", 2 => "READER") const errorDescs = Dict{Int64,Any}(1 => (Dict{Int64,AbstractString}( 1 => "READ_CORRUPT_JS", 2 => "READ_INVALID_PARAM", 3 => "READ_CB_FAILURE" )), 2 => Dict{Int64,AbstractString}(1 => "BADFD")) function Base.convert(::Type{String}, bsonError::BSONError) uint32s = reinterpret(UInt32, bsonError._wrap_) domain = uint32s[1] code = uint32s[2] return String(bsonError._wrap_[9:end]) end Base.string(bsonError::BSONError) = String(bsonError._wrap_) Base.error(bsonError::BSONError) = error(string(bsonError))
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using Pkg Pkg.activate("./GraphFusedElasticNet.jl/") Pkg.instantiate() using DelimitedFiles using CSV using DataFrames workdir() = pwd() splits_relpath() = "processed_data/splitlevels.csv" vertexinfo_relpath() = "processed_data/vertex_data.csv" betas_relpath() = "best_betas/" betafiles = readdir(joinpath(workdir(), betas_relpath())) # output settings # optionally we can set a numer of files for the output # so that file size is smaller, in this case, they can best_betas # read in order and reassambled by horizontal concatenation num_files = 20 smoothprobs_relpath() = "output_smooth_probs/" # read the data from the graph # actualy we only need the number of nodes types=Dict( "nodes" => String, "vertex" => Int, "taz" => Int, "hours" => Int) graphdata = CSV.read(vertexinfo_relpath(), types=types) num_nodes = size(graphdata, 1) function getsplit(s::String) x = split(s, '_')[3] x = split(x, '.')[1] return x end # read files with betas betas = Dict{Tuple{Int, Int}, Vector{Float64}}() for file in betafiles bin = getsplit(file) a, b = parse.(Int, String.(split(bin, '-'))) β = vec(readdlm(joinpath(betas_relpath(), file))) betas[a, b] = β end splitlevels = vec(readdlm(splits_relpath())) nbins = length(splitlevels) - 1 # descend in each bin and multiplyprobabilities probs = ones(nbins, num_nodes) for (key, value) in betas a = key[1] + 1 b = key[2] m = (a + b) ÷ 2 p = 1.0 ./ (1.0 .+ exp.(-value)) p = reshape(p, 1, :) probs[a:m, :] .*= p probs[m:b, :] .*= 1.0 .- p end probs ./= sum(probs, dims=1) # write output if num_files == 1 fname = joinpath(smoothprobs_relpath(), "probs.csv") writedlm(fname, probs, ',') else chunksize = if num_nodes % num_files == 0 num_nodes ÷ num_files else (num_nodes ÷ num_files) + 1 end for i in 1:num_files from = (i - 1) * chunksize + 1 to = min(i * chunksize, num_nodes) chunk = probs[:, from:to] fname = joinpath(smoothprobs_relpath(), "probs-chunk_$i.csv") writedlm(fname, chunk, ',') end end # probs to densities # Δ = splitlevels[2:end] .- splitlevels[1:end-1] # dens = probs ./ Δ
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const MAX_AREA = typemax(Int) struct Margin vertical::Int horizontal::Int end struct Rect x::Int y::Int width::Int height::Int end function Rect(x, y, aspect_ratio::Rational) h = √(MAX_AREA / aspect_ratio) w = h * aspect_ratio return Rect(x, y, w, h) end Rect() = Rect(1, 1, 1, 1) function Rect(rect::Rect, margin::Margin) if rect.width < 2 * margin.horizontal || rect.height < 2 * margin.vertical return Rect() else return Rect( rect.x + margin.horizontal, rect.y + margin.vertical, rect.width - 2 * margin.horizontal, rect.height - 2 * margin.vertical, ) end end area(rect::Rect) = rect.width * rect.height left(rect::Rect) = rect.x right(rect::Rect) = rect.x + rect.width top(rect::Rect) = rect.y bottom(rect::Rect) = rect.y + rect.height width(rect::Rect) = rect.width height(rect::Rect) = rect.height function inner(rect::Rect; padding_x::Int, padding_y::Int) x = left(rect) + padding_x y = top(rect) + padding_y w = width(rect) - padding_x * 2 h = height(rect) - padding_y * 2 return Rect(x, y, w, h) end intersects(rect1::Rect, rect2::Rect) = rect1.x < rect2.x + rect2.width && rect1.x + rect1.width > rect2.x && rect1.y < rect2.y + rect2.height && rect1.y + rect1.height > rect2.y function union(rect1::Rect, rect2::Rect) x1 = min(rect1.x, rect2.x) y1 = min(rect1.y, rect2.y) x2 = max(rect1.x + rect1.width, rect2.x + rect2.width) y2 = max(rect1.y + rect1.height, rect2.y + rect2.height) return Rect( x1, y1, x2 - x1, y2 - y1, ) end function intersection(rect1::Rect, rect2::Rect) x1 = max(rect1.x, rect2.x) y1 = max(rect1.y, rect2.y) x2 = min(rect1.x + rect1.width, rect2.x + rect2.width) y2 = min(rect1.y + rect1.height, rect2.y + rect2.height) Rect( x1, y1, x2 - x1, y2 - y1, ) end
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""" $(SIGNATURES) Compute `log(sum(exp, X))` in a numerically stable way that avoids intermediate over- and underflow. `X` should be an iterator of real numbers. The result is computed using a single pass over the data. # References [Sebastian Nowozin: Streaming Log-sum-exp Computation](http://www.nowozin.net/sebastian/blog/streaming-log-sum-exp-computation.html) """ logsumexp(X) = _logsumexp_onepass(X) """ $(SIGNATURES) Compute `log.(sum(exp.(X); dims=dims))` in a numerically stable way that avoids intermediate over- and underflow. The result is computed using a single pass over the data. # References [Sebastian Nowozin: Streaming Log-sum-exp Computation](http://www.nowozin.net/sebastian/blog/streaming-log-sum-exp-computation.html) """ logsumexp(X::AbstractArray{<:Real}; dims=:) = _logsumexp(X, dims) _logsumexp(X::AbstractArray{<:Real}, ::Colon) = _logsumexp_onepass(X) function _logsumexp(X::AbstractArray{<:Real}, dims) # Do not use log(zero(eltype(X))) directly to avoid issues with ForwardDiff (#82) FT = float(eltype(X)) xmax_r = reduce(_logsumexp_onepass_op, X; dims=dims, init=(FT(-Inf), zero(FT))) return @. first(xmax_r) + log1p(last(xmax_r)) end function _logsumexp_onepass(X) # fallback for empty collections isempty(X) && return log(sum(X)) return _logsumexp_onepass_result(_logsumexp_onepass_reduce(X, Base.IteratorEltype(X))) end # function barrier for reductions with single element and without initial element _logsumexp_onepass_result(x) = float(x) _logsumexp_onepass_result((xmax, r)::Tuple) = xmax + log1p(r) # iterables with known element type function _logsumexp_onepass_reduce(X, ::Base.HasEltype) # do not perform type computations if element type is abstract T = eltype(X) isconcretetype(T) || return _logsumexp_onepass_reduce(X, Base.EltypeUnknown()) FT = float(T) return reduce(_logsumexp_onepass_op, X; init=(FT(-Inf), zero(FT))) end # iterables without known element type _logsumexp_onepass_reduce(X, ::Base.EltypeUnknown) = reduce(_logsumexp_onepass_op, X) ## Reductions for one-pass algorithm: avoid expensive multiplications if numbers are reduced # reduce two numbers function _logsumexp_onepass_op(x1, x2) a = x1 == x2 ? zero(x1 - x2) : -abs(x1 - x2) xmax = x1 > x2 ? oftype(a, x1) : oftype(a, x2) r = exp(a) return xmax, r end # reduce a number and a partial sum function _logsumexp_onepass_op(x, (xmax, r)::Tuple) a = x == xmax ? zero(x - xmax) : -abs(x - xmax) if x > xmax _xmax = oftype(a, x) _r = (r + one(r)) * exp(a) else _xmax = oftype(a, xmax) _r = r + exp(a) end return _xmax, _r end _logsumexp_onepass_op(xmax_r::Tuple, x) = _logsumexp_onepass_op(x, xmax_r) # reduce two partial sums function _logsumexp_onepass_op((xmax1, r1)::Tuple, (xmax2, r2)::Tuple) a = xmax1 == xmax2 ? zero(xmax1 - xmax2) : -abs(xmax1 - xmax2) if xmax1 > xmax2 xmax = oftype(a, xmax1) r = r1 + (r2 + one(r2)) * exp(a) else xmax = oftype(a, xmax2) r = r2 + (r1 + one(r1)) * exp(a) end return xmax, r end
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module ExcelWriter using DataFrames using PyCall global const pyModnumpy = PyCall.PyNULL() global const pyModPandas = PyCall.PyNULL() global const pyModxlsxwriter = PyCall.PyNULL() function __init__() #the following lines may trigger the installation of the respective python packages copy!(pyModnumpy, PyCall.pyimport_conda("numpy","numpy")) copy!(pyModPandas, PyCall.pyimport_conda("pandas","pandas")) copy!(pyModxlsxwriter, PyCall.pyimport_conda("xlsxwriter","xlsxwriter")) end include("excel.jl") end # module
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# This file includes the Discrete Systems import DifferentialEquations: FunctionMap, DiscreteProblem import UUIDs: uuid4 """ @def_discrete_system ex where `ex` is the expression to define to define a new AbstractDiscreteSystem component type. The usage is as follows: ```julia @def_discrete_system mutable struct MyDiscreteSystem{T1,T2,T3,...,TN,OP,RH,RO,ST,IP,OP} <: AbstractDiscreteSystem param1::T1 = param1_default # optional field param2::T2 = param2_default # optional field param3::T3 = param3_default # optional field ⋮ paramN::TN = paramN_default # optional field righthandside::RH = righthandside_function # mandatory field readout::RO = readout_function # mandatory field state::ST = state_default # mandatory field input::IP = input_default # mandatory field output::OP = output_default # mandatory field end ``` Here, `MyDiscreteSystem` has `N` parameters. `MyDiscreteSystem` is represented by the `righthandside` and `readout` function. `state`, `input` and `output` is the state, input port and output port of `MyDiscreteSystem`. !!! warning `righthandside` must have the signature ```julia function righthandside(dx, x, u, t, args...; kwargs...) dx .= .... # update dx end ``` and `readout` must have the signature ```julia function readout(x, u, t) y = ... return y end ``` !!! warning New discrete system must be a subtype of `AbstractDiscreteSystem` to function properly. # Example ```jldoctest julia> @def_discrete_system mutable struct MyDiscreteSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem α::Float64 = 1. β::Float64 = 2. righthandside::RH = (dx, x, u, t, α=α) -> (dx[1] = α * x[1] + u[1](t)) state::Vector{Float64} = [1.] readout::RO = (x, u, t) -> x input::IP = Inport(1) output::OP = Outport(1) end julia> ds = MyDiscreteSystem(); julia> ds.input 1-element Inport{Inpin{Float64}}: Inpin(eltype:Float64, isbound:false) ``` """ macro def_discrete_system(ex) #= NOTE: Generate the parameter names TR, HS, CB, ID, MA, MK, SA, SK, AL, IT of types of trigger, handshake, callbacks, id, modelargs, modelkwargs, solverargs, solverkwargs, alg, integrator by using `gensym` to avoid duplicate type parameter names so that the users can parametrizde their types as @def_discrete_system mutable struct MyDiscreteSystem{RH, RO, ST, IP, TR} <: AbstractDiscreteSystem righthandside::RH readout::RO state::ST input::IP output::TR end Note that the parameter name of output is TR. But, since the parameter name TR of trigger of the compnent is generated by `gensym`, we get rid of duplicate parameter names. =# checksyntax(ex, :AbstractDiscreteSystem) # TR, HS, CB, ID, MA, MK, SA, SK, AL, IT = [gensym() for i in 1 : 10] fields = quote trigger::$(TRIGGER_TYPE_SYMBOL) = Inpin() handshake::$(HANDSHAKE_TYPE_SYMBOL) = Outpin{Bool}() callbacks::$(CALLBACKS_TYPE_SYMBOL) = nothing name::Symbol = Symbol() id::$(ID_TYPE_SYMBOL)= Causal.uuid4() t::Float64 = 0. modelargs::$(MODEL_ARGS_TYPE_SYMBOL) = () modelkwargs::$(MODEL_KWARGS_TYPE_SYMBOL) = NamedTuple() solverargs::$(SOLVER_ARGS_TYPE_SYMBOL) = () solverkwargs::$(SOLVER_KWARGS_TYPE_SYMBOL) = NamedTuple() alg::$(ALG_TYPE_SYMBOL) = Causal.FunctionMap() integrator::$(INTEGRATOR_TYPE_SYMBOL) = Causal.construct_integrator(Causal.DiscreteProblem, input, righthandside, state, t, modelargs, solverargs; alg=alg, modelkwargs=modelkwargs, solverkwargs=solverkwargs, numtaps=3) end, [TRIGGER_TYPE_SYMBOL, HANDSHAKE_TYPE_SYMBOL, CALLBACKS_TYPE_SYMBOL, ID_TYPE_SYMBOL, MODEL_ARGS_TYPE_SYMBOL, MODEL_KWARGS_TYPE_SYMBOL, SOLVER_ARGS_TYPE_SYMBOL, SOLVER_KWARGS_TYPE_SYMBOL, ALG_TYPE_SYMBOL, INTEGRATOR_TYPE_SYMBOL] _append_common_fields!(ex, fields...) deftype(ex) end ##### Define Discrete system library """ DiscreteSystem(; righthandside, readout, state, input, output) Constructs a generic discrete system # Example ```jldoctest julia> sfuncdiscrete(dx,x,u,t) = (dx .= 0.5x); julia> ofuncdiscrete(x, u, t) = x; julia> DiscreteSystem(righthandside=sfuncdiscrete, readout=ofuncdiscrete, state=[1.], input=nothing, output=Outport()) DiscreteSystem(righthandside:sfuncdiscrete, readout:ofuncdiscrete, state:[1.0], t:0.0, input:nothing, output:Outport(numpins:1, eltype:Outpin{Float64})) ``` """ @def_discrete_system mutable struct DiscreteSystem{RH, RO, ST, IP, OP} <: AbstractDiscreteSystem righthandside::RH readout::RO state::ST input::IP output::OP end @doc raw""" DiscreteLinearSystem(input, output, modelargs=(), solverargs=(); A=fill(-1, 1, 1), B=fill(0, 1, 1), C=fill(1, 1, 1), D=fill(0, 1, 1), state=rand(size(A,1)), t=0., alg=ODEAlg, modelkwargs=NamedTuple(), solverkwargs=NamedTuple()) Constructs a `DiscreteLinearSystem` with `input` and `output`. `state` is the initial state and `t` is the time. `modelargs` and `modelkwargs` are passed into `ODEProblem` and `solverargs` and `solverkwargs` are passed into `solve` method of `DifferentialEquations`. `alg` is the algorithm to solve the differential equation of the system. The `DiscreteLinearSystem` is represented by the following state and output equations. ```math \begin{array}{l} \dot{x} = A x + B u \\[0.25cm] y = C x + D u \end{array} ``` where ``x`` is `state`. `solver` is used to solve the above differential equation. """ @def_discrete_system mutable struct DiscreteLinearSystem{IP, OP, RH, RO} <: AbstractDiscreteSystem A::Matrix{Float64} = fill(-1., 1, 1) B::Matrix{Float64} = fill(0., 1, 1) C::Matrix{Float64} = fill(1., 1, 1) D::Matrix{Float64} = fill(-1., 1, 1) input::IP = Inport(1) output::OP = nothing state::Vector{Float64} = rand(size(A, 1)) righthandside::RH = input === nothing ? (dx, x, u, t) -> (dx .= A * x) : (dx, x, u, t) -> (dx .= A * x + B * map(ui -> ui(t), u.itp)) readout::RO = input === nothing ? (x, u, t) -> (C * x) : ( (C === nothing || D === nothing) ? nothing : (x, u, t) -> (C * x + D * map(ui -> ui(t), u)) ) end @doc raw""" Henon() Constructs a `Henon` system evolving with the dynamics ```math \begin{array}{l} \dot{x}_1 = 1 - \alpha (x_1^2) + x_2 \\[0.25cm] \dot{x}_2 = \beta x_1 \end{array} ``` """ @def_discrete_system mutable struct HenonSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem α::Float64 = 1.4 β::Float64 = 0.3 γ::Float64 = 1. righthandside::RH = function henonrhs(dx, x, u, t, α=α, β=β, γ=γ) dx[1] = 1 - α * x[1]^2 + x[2] dx[2] = β * x[1] dx .*= γ end readout::RO = (x, u, t) -> x state::Vector{Float64} = rand(2) input::IP = nothing output::OP = Outport(2) end @doc raw""" LoziSystem() Constructs a `Lozi` system evolving with the dynamics ```math \begin{array}{l} \dot{x}_1 = 1 - \alpha |x_1| + x_2 \\[0.25cm] \dot{x}_2 = \beta x_1 \end{array} ``` """ @def_discrete_system mutable struct LoziSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem α::Float64 = 1.4 β::Float64 = 0.3 γ::Float64 = 1. righthandside::RH = function lozirhs(dx, x, u, t, α=α, β=β, γ=γ) dx[1] = 1 - α * abs(x[1]) + x[2] dx[2] = β * x[1] dx .*= γ end readout::RO = (x, u, t) -> x state::Vector{Float64} = rand(2) input::IP = nothing output::OP = Outport(2) end @doc raw""" BogdanovSystem() Constructs a Bogdanov system with equations ```math \begin{array}{l} \dot{x}_1 = x_1 + \dot{x}_2 \\[0.25cm] \dot{x}_2 = x_2 + \epsilon + x_2 + k x_1 (x_1 - 1) + \mu x_1 x_2 \end{array} ``` """ @def_discrete_system mutable struct BogdanovSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem ε::Float64 = 0. μ::Float64 = 0. k::Float64 = 1.2 γ::Float64 = 1. righthandside::RH = function bogdanovrhs(dx, x, u, t, ε=ε, μ=μ, k=k, γ=γ) dx[2]= x[2] + ε * x[2] + k * x[1] * (x[1] - 1) + μ * x[1] * x[2] dx[1] = x[1] + dx[2] dx .*= γ end readout::RO = (x, u, t) -> x state::Vector{Float64} = rand(2) input::IP = nothing output::OP = Outport(2) end @doc raw""" GingerbreadmanSystem() Constructs a GingerbreadmanSystem with the dynamics ```math \begin{array}{l} \dot{x}_1 = 1 - x_2 + |x_1|\\[0.25cm] \dot{x}_2 = x_1 \end{array} ``` """ @def_discrete_system mutable struct GingerbreadmanSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem γ::Float64 = 1. righthandside::RH = function gingerbreadmanrhs(dx, x, u, t, γ=γ) dx[1] = 1 - x[2] + abs(x[1]) dx[2] = x[1] dx .*= γ end readout::RO = (x, u, t) -> x state::Vector{Float64} = rand(2) input::IP = nothing output::OP = Outport(2) end @doc raw""" LogisticSystem() Constructs a LogisticSystem with the dynamics ```math \begin{array}{l} \dot{x} = r x (1 - x) \end{array} ``` """ @def_discrete_system mutable struct LogisticSystem{RH, RO, IP, OP} <: AbstractDiscreteSystem r::Float64 = 1. γ::Float64 = 1. righthandside::RH = function logisticrhs(dx, x, u, t, r = r, γ=γ) dx[1] = r * x[1] * (1 - x[1]) dx[1] *= γ end readout::RO = (x, u, t) -> x state::Vector{Float64} = rand(1) input::IP = nothing output::OP = Outport(1) end ##### Pretty-printting show(io::IO, ds::DiscreteSystem) = print(io, "DiscreteSystem(righthandside:$(ds.righthandside), readout:$(ds.readout), state:$(ds.state), t:$(ds.t), ", "input:$(ds.input), output:$(ds.output))") show(io::IO, ds::DiscreteLinearSystem) = print(io, "DiscreteLinearystem(A:$(ds.A), B:$(ds.B), C:$(ds.C), D:$(ds.D), state:$(ds.state), t:$(ds.t), ", "input:$(ds.input), output:$(ds.output))") show(io::IO, ds::HenonSystem) = print(io, "HenonSystem(α:$(ds.α), β:$(ds.β), γ:$(ds.γ),state:$(ds.state), t:$(ds.t), input:$(ds.input), output:$(ds.output))") show(io::IO, ds::LoziSystem) = print(io, "LoziSystem(α:$(ds.α), β:$(ds.β), γ:$(ds.γ), state:$(ds.state), t:$(ds.t), ", "input:$(ds.input), output:$(ds.output))") show(io::IO, ds::BogdanovSystem) = print(io, "BogdanovSystem(ε:$(ds.ε), μ:$(ds.μ), k:$(ds.k), γ:$(ds.γ), state:$(ds.state), t:$(ds.t), ", "input:$(ds.input), output:$(ds.output))") show(io::IO, ds::GingerbreadmanSystem) = print(io, "GingerbreadmanSystem(γ:$(ds.γ), state:$(ds.state), t:$(ds.t), input:$(ds.input), output:$(ds.output))") show(io::IO, ds::LogisticSystem) = print(io, "LogisticSystem(r:$(ds.r), γ:$(ds.γ), state:$(ds.state), t:$(ds.t), input:$(ds.input), output:$(ds.output))")
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2.170712
5,067
using LinearAlgebra, Test using TensorToolbox include("doctest.jl") #check for erros in README examples include("tensorTest.jl") include("ttensorTest.jl") include("ktensorTest.jl") include("dimtreeTest.jl") include("htensorTest.jl") include("TTtensorTest.jl") println("\n\n")
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2.886598
97
function buildNTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, IEnvs, row::Int, col::Int, ncol::Int, ϕ::ITensor)::ITensor Ny = length(Aj) is_cu = is_gpu(Aj) N = is_cu ? cuITensor(1.0) : ITensor(1.0) for si in inds(Aj[row], "Site") N *= spinI(si; is_gpu=is_cu) end workingN = N if row > 1 workingN *= IEnvs[:below][row - 1] end workingN *= L.I[row] workingN *= ϕ workingN *= R.I[row] if row < Ny workingN *= IEnvs[:above][end - row] end return workingN end function buildHIedgeTwoSiteHorizontal(Aj::Vector{ITensor}, E::Environments, row::Int, col::Int, ncol::Int, side::Symbol, ϕ::ITensor) Ny = length(Aj) is_cu = is_gpu(Aj) IH_a = is_cu ? cuITensor(1.0) : ITensor(1.0) IH_b = is_cu ? cuITensor(1.0) : ITensor(1.0) IH = is_cu ? cuITensor(1.0) : ITensor(1.0) @inbounds for work_row in 1:row-1 IH_b *= Aj[work_row] * E.H[work_row] IH_b *= dag(prime(Aj[work_row], "Link")) end @inbounds for work_row in row+1:Ny IH_a *= Aj[work_row] * E.H[work_row] IH_a *= dag(prime(Aj[work_row], "Link")) end IH *= E.H[row] IH *= IH_b op = is_cu ? cuITensor(1.0) : ITensor(1.0) for si in inds(Aj[row], "Site") op *= spinI(si; is_gpu=is_cu) end IH *= ϕ IH *= op IH *= IH_a AAinds = inds(prime(ϕ)) @assert hasinds(inds(IH), AAinds) "inds(IH): $(inds(IH)),\n inds(AA): $AAinds" @assert hasinds(AAinds, inds(IH)) "inds(IH): $(inds(IH)),\n inds(AA): $AAinds" return (IH,) end function buildHIsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, row::Int, col::Int, ncol::Int, ϕ::ITensor; edge::Symbol=:none) Ny = length(Aj) is_cu = is_gpu(Aj) @timeit "buildHIedge" begin if edge == :left return buildHIedgeTwoSiteHorizontal(Aj, R, row, col, ncol, :left, ϕ) end if edge == :right return buildHIedgeTwoSiteHorizontal(Aj, L, row, col, ncol, :right, ϕ) end end HLI_a = is_cu ? cuITensor(1.0) : ITensor(1.0) HLI_b = is_cu ? cuITensor(1.0) : ITensor(1.0) IHR_a = is_cu ? cuITensor(1.0) : ITensor(1.0) IHR_b = is_cu ? cuITensor(1.0) : ITensor(1.0) HLI = is_cu ? cuITensor(1.0) : ITensor(1.0) IHR = is_cu ? cuITensor(1.0) : ITensor(1.0) @timeit "build HI lower" begin @inbounds for work_row in 1:row-1 tL = Aj[work_row]*L.H[work_row] HLI_b *= tL HLI_b *= R.I[work_row] HLI_b *= dag(prime(Aj[work_row], "Link")) tR = Aj[work_row]*R.H[work_row] IHR_b *= tR IHR_b *= L.I[work_row] IHR_b *= dag(prime(Aj[work_row], "Link")) end end @timeit "build HI upper" begin @inbounds for work_row in reverse(row+1:Ny) tL = Aj[work_row]*L.H[work_row] HLI_a *= tL HLI_a *= R.I[work_row] HLI_a *= dag(prime(Aj[work_row], "Link")) tR = Aj[work_row]*R.H[work_row] IHR_a *= tR IHR_a *= L.I[work_row] IHR_a *= dag(prime(Aj[work_row], "Link")) end end @timeit "join up HIs" begin HLI *= L.H[row] HLI *= HLI_b HLI *= ϕ HLI *= R.I[row] IHR *= L.I[row] IHR *= IHR_b IHR *= ϕ IHR *= R.H[row] HLI *= HLI_a IHR *= IHR_a op = is_cu ? cuITensor(1.0) : ITensor(1.0) for si in inds(Aj[row], "Site") op *= spinI(si; is_gpu=is_cu) end HLI *= op IHR *= op end AAinds = inds(prime(ϕ)) @assert hasinds(inds(IHR), AAinds) @assert hasinds(inds(HLI), AAinds) @assert hasinds(AAinds, inds(IHR)) @assert hasinds(AAinds, inds(HLI)) return (HLI, IHR) end function verticalTermsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, AI, AV, H, row::Int, col::Int, ncol::Int, ϕ::ITensor)::Vector{ITensor} Ny = length(Aj) is_cu = is_gpu(Aj) vTerms = Vector{ITensor}(undef, length(H)) AAinds = inds(prime(ϕ)) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) @inbounds for opcode in 1:length(H) thisVert = dummy op_row_a = H[opcode].sites[1][1] op_col_a = H[opcode].sites[1][2] op_row_b = H[opcode].sites[2][1] op_col_b = H[opcode].sites[2][2] if op_row_b < row || row < op_row_a local V, I if op_row_a > row V = AV[:above][opcode][end - row] I = row > 1 ? AI[:below][row - 1] : dummy elseif op_row_b < row V = AV[:below][opcode][row - op_row_b] I = row < Ny ? AI[:above][end - row] : dummy end thisVert *= V thisVert *= L.I[row] thisVert *= ϕ thisVert *= R.I[row] thisVert *= I for si in inds(Aj[row], "Site") thisVert *= spinI(si; is_gpu=is_cu) end elseif row == op_row_a low_row = op_row_a - 1 high_row = op_row_b AIL = low_row > 0 ? AI[:below][low_row] : dummy AIH = high_row < Ny ? AI[:above][end - high_row] : dummy if col == op_col_a sA = firstind(Aj[op_row_a], "Site,c$col") op_a = replaceind!(copy(H[opcode].ops[1]), H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[op_row_b], "Site,c$col") op_b = replaceind!(copy(H[opcode].ops[2]), H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op_a *= spinI(firstind(Aj[op_row_a], "Site,c$ncol"); is_gpu=is_cu) op_b *= spinI(firstind(Aj[op_row_b], "Site,c$ncol"); is_gpu=is_cu) else sA = firstind(Aj[op_row_a], "Site,c$ncol") op_a = replaceind!(copy(H[opcode].ops[1]), H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[op_row_b], "Site,c$ncol") op_b = replaceind!(copy(H[opcode].ops[2]), H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op_a *= spinI(firstind(Aj[op_row_a], "Site,c$col"); is_gpu=is_cu) op_b *= spinI(firstind(Aj[op_row_b], "Site,c$col"); is_gpu=is_cu) end thisVert = AIH thisVert *= L.I[op_row_b] thisVert *= Aj[op_row_b] * op_b thisVert *= R.I[op_row_b] thisVert *= dag(Aj[op_row_b])' thisVert *= L.I[op_row_a] thisVert *= ϕ thisVert *= R.I[op_row_a] thisVert *= AIL thisVert *= op_a elseif row == op_row_b low_row = op_row_a - 1 high_row = op_row_b AIL = low_row > 0 ? AI[:below][low_row] : dummy AIH = high_row < Ny ? AI[:above][end - high_row] : dummy if op_col_a == col sA = firstind(Aj[op_row_a], "Site,c$col") op_a = replaceind!(copy(H[opcode].ops[1]), H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[op_row_b], "Site,c$col") op_b = replaceind!(copy(H[opcode].ops[2]), H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op_a *= spinI(firstind(Aj[op_row_a], "Site,c$ncol"); is_gpu=is_cu) op_b *= spinI(firstind(Aj[op_row_b], "Site,c$ncol"); is_gpu=is_cu) else sA = firstind(Aj[op_row_a], "Site,c$ncol") op_a = replaceind!(copy(H[opcode].ops[1]), H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[op_row_b], "Site,c$ncol") op_b = replaceind!(copy(H[opcode].ops[2]), H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op_a *= spinI(firstind(Aj[op_row_a], "Site,c$col"); is_gpu=is_cu) op_b *= spinI(firstind(Aj[op_row_b], "Site,c$col"); is_gpu=is_cu) end thisVert = AIL thisVert *= L.I[op_row_a] thisVert *= Aj[op_row_a] * op_a thisVert *= R.I[op_row_a] thisVert *= dag(Aj[op_row_a])' thisVert *= L.I[op_row_b] thisVert *= ϕ thisVert *= R.I[op_row_b] thisVert *= AIH thisVert *= op_b end @assert hasinds(inds(thisVert), AAinds) "inds of thisVert and AAinds differ!\n$(inds(thisVert))\n$AAinds\n" @assert hasinds(AAinds, inds(thisVert)) "inds of thisVert and AAinds differ!\n$(inds(thisVert))\n$AAinds\n" if hasinds(AAinds, inds(thisVert)) && hasinds(inds(thisVert), AAinds) vTerms[opcode] = thisVert end end return vTerms end function interiorTermsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, AI, AInt, H, row::Int, col::Int, ncol::Int, ϕ::ITensor)::Vector{ITensor} Ny = length(Aj) is_cu = is_gpu(Aj) intTerms = Vector{ITensor}(undef, length(H)) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) AAinds = inds(prime(ϕ)) @inbounds for opcode in 1:length(H) thisInter = copy(dummy) op_row = H[opcode].sites[1][1] op_col_a = H[opcode].sites[1][2] op_col_b = H[opcode].sites[2][2] if op_row != row local IT, I if op_row > row IT = AInt[:above][opcode][end - row] I = row > 1 ? AI[:below][row - 1] : dummy else IT = AInt[:below][opcode][row - 1] I = row < Ny ? AI[:above][end - row] : dummy end thisInter *= IT thisInter *= L.I[row] thisInter *= ϕ thisInter *= R.I[row] thisInter *= I for si in inds(Aj[row], "Site") thisInter *= spinI(si; is_gpu=is_cu) end @assert hasinds(inds(thisInter), AAinds) @assert hasinds(AAinds, inds(thisInter)) else low_row = op_row - 1 high_row = op_row AIL = low_row > 0 ? AI[:below][low_row] : dummy AIH = high_row < Ny ? AI[:above][end - high_row] : dummy thisInter = AIL thisInter *= L.I[row] thisInter *= ϕ thisInter *= R.I[row] thisInter *= AIH if op_col_a == col sA = firstind(Aj[row], "Site,c$col") op_a = copy(H[opcode].ops[1]) op_a = replaceind!(op_a, H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[row], "Site,c$ncol") op_b = copy(H[opcode].ops[2]) op_b = replaceind!(op_b, H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op = op_a * op_b else sA = firstind(Aj[row], "Site,c$col") op_a = copy(H[opcode].ops[2]) op_a = replaceind!(op_a, H[opcode].site_ind, sA) op_a = replaceind!(op_a, H[opcode].site_ind', sA') sB = firstind(Aj[row], "Site,c$ncol") op_b = copy(H[opcode].ops[1]) op_b = replaceind!(op_b, H[opcode].site_ind, sB) op_b = replaceind!(op_b, H[opcode].site_ind', sB') op = op_a * op_b end thisInter *= op @assert hasinds(inds(thisInter), AAinds) @assert hasinds(AAinds, inds(thisInter)) end intTerms[opcode] = thisInter end return intTerms end function fieldTermsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, AI, AF, H, row::Int, col::Int, ncol::Int, ϕ::ITensor)::Vector{ITensor} Ny = length(Aj) is_cu = is_gpu(Aj) fTerms = Vector{ITensor}(undef, length(H)) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) AAinds = inds(prime(ϕ)) @inbounds for opcode in 1:length(H) thisField = copy(dummy) op_row = H[opcode].sites[1][1] op_col = H[opcode].sites[1][2] if op_row != row local F, I if op_row > row F = AF[:above][opcode][end - row] I = row > 1 ? AI[:below][row - 1] : dummy else F = AF[:below][opcode][row - 1] I = row < Ny ? AI[:above][end - row] : dummy end thisField *= F thisField *= L.I[row] thisField *= ϕ thisField *= R.I[row] thisField *= I for si in inds(Aj[row], "Site") thisField *= spinI(si; is_gpu=is_cu) end else low_row = op_row - 1 high_row = op_row AIL = low_row > 0 ? AI[:below][low_row] : dummy AIH = high_row < Ny ? AI[:above][end - high_row] : dummy thisField = AIL thisField *= L.I[row] thisField *= ϕ thisField *= R.I[row] thisField *= AIH if op_col == col sA = firstind(Aj[row], "Site,c$col") op = copy(H[opcode].ops[1]) op = replaceind!(op, H[opcode].site_ind, sA) op = replaceind!(op, H[opcode].site_ind', sA') op *= spinI(firstind(Aj[row], "Site,c$ncol"); is_gpu=is_cu) else sA = firstind(Aj[row], "Site,c$ncol") op = copy(H[opcode].ops[1]) op = replaceind!(op, H[opcode].site_ind, sA) op = replaceind!(op, H[opcode].site_ind', sA') op *= spinI(firstind(Aj[row], "Site,c$col"); is_gpu=is_cu) end thisField *= op end @assert hasinds(inds(thisField), AAinds) @assert hasinds(AAinds, inds(thisField)) fTerms[opcode] = thisField end return fTerms end function connectLeftTermsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, AI, AL, H, row::Int, col::Int, ncol::Int, ϕ::ITensor)::Vector{ITensor} Ny = length(Aj) is_cu = is_gpu(Aj) lTerms = Vector{ITensor}(undef, length(H)) AAinds = inds(prime(ϕ)) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) lcol, rcol = extrema([col, ncol]) @inbounds for opcode in 1:length(H) op_row_b = H[opcode].sites[2][1] op_b = copy(H[opcode].ops[2]) as = firstind(Aj[op_row_b], "Site,c$lcol") op_b = replaceind!(op_b, H[opcode].site_ind, as) op_b = replaceind!(op_b, H[opcode].site_ind', as') thisHori = is_cu ? cuITensor(1.0) : ITensor(1.0) if op_row_b != row local ancL, I if op_row_b > row ancL = AL[:above][opcode][end - row] I = row > 1 ? AL[:below][opcode][row - 1] : dummy else ancL = AL[:below][opcode][row - 1] I = row < Ny ? AL[:above][opcode][end - row] : dummy end thisHori = ancL thisHori *= L.InProgress[row, opcode] thisHori *= ϕ thisHori *= R.I[row] thisHori *= I for si in inds(Aj[row], "Site") thisHori *= spinI(si; is_gpu=is_cu) end else low_row = (op_row_b <= row) ? op_row_b - 1 : row - 1; high_row = (op_row_b >= row) ? op_row_b + 1 : row + 1; if low_row >= 1 thisHori *= AL[:below][opcode][low_row] end thisHori *= R.I[row] thisHori *= ϕ thisHori *= L.InProgress[row, opcode] thisHori *= op_b thisHori *= spinI(firstind(Aj[row], "Site,c$rcol"); is_gpu=is_cu) if high_row <= Ny thisHori *= AL[:above][opcode][end - high_row + 1] end end @assert hasinds(inds(thisHori), AAinds) @assert hasinds(AAinds, inds(thisHori)) lTerms[opcode] = thisHori end return lTerms end function connectRightTermsTwoSiteHorizontal(Aj::Vector{ITensor}, L::Environments, R::Environments, AI, AR, H, row::Int, col::Int, ncol::Int, ϕ::ITensor)::Vector{ITensor} Ny = length(Aj) is_cu = is_gpu(Aj) rTerms = Vector{ITensor}(undef, length(H)) AAinds = inds(prime(ϕ)) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) lcol, rcol = extrema([col, ncol]) @inbounds for opcode in 1:length(H) op_row_a = H[opcode].sites[1][1] op_a = copy(H[opcode].ops[1]) as = firstind(Aj[op_row_a], "Site,c$rcol") op_a = replaceind!(op_a, H[opcode].site_ind, as) op_a = replaceind!(op_a, H[opcode].site_ind', as') thisHori = is_cu ? cuITensor(1.0) : ITensor(1.0) if op_row_a != row local ancR, I if op_row_a > row ancR = AR[:above][opcode][end - row] I = row > 1 ? AR[:below][opcode][row - 1] : dummy else ancR = AR[:below][opcode][row - 1] I = row < Ny ? AR[:above][opcode][end - row] : dummy end thisHori = ancR thisHori *= R.InProgress[row, opcode] thisHori *= ϕ thisHori *= L.I[row] thisHori *= I for si in inds(Aj[row], "Site") thisHori *= spinI(si; is_gpu=is_cu) end else low_row = (op_row_a <= row) ? op_row_a - 1 : row - 1; high_row = (op_row_a >= row) ? op_row_a + 1 : row + 1; if low_row >= 1 thisHori *= AR[:below][opcode][low_row] end thisHori *= L.I[row] thisHori *= R.InProgress[row, opcode] thisHori *= ϕ thisHori *= op_a if high_row <= Ny thisHori *= AR[:above][opcode][end - high_row + 1] end thisHori *= spinI(firstind(Aj[row], "Site,c$lcol"); is_gpu=is_cu) end @assert hasinds(inds(thisHori), AAinds) @assert hasinds(AAinds, inds(thisHori)) rTerms[opcode] = thisHori end return rTerms end function buildLocalHTwoSiteHorizontal(A::Vector{ITensor}, L::Environments, R::Environments, AncEnvs, H, row::Int, col::Int, ncol::Int, ϕ::ITensor; verbose::Bool=false) field_H_terms = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Field) vert_H_terms = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Vertical) term_count = 1 + length(field_H_terms) + length(vert_H_terms) Ny = length(A) Nx = size(H, 2) @timeit "build Ns" begin N = buildNTwoSiteHorizontal(A, L, R, AncEnvs[:I], row, col, ncol, ϕ) end den = scalar(collect(N * dag(ϕ)')) if verbose println("--- NORM ---") println(den) end local left_H_terms, right_H_terms mincol, maxcol = extrema([col, ncol]) interior_H_terms = getDirectional(vcat(H[:, mincol]...), Horizontal) term_count += length(interior_H_terms) if mincol > 1 left_H_terms = getDirectional(vcat(H[:, mincol - 1]...), Horizontal) term_count += length(left_H_terms) end if maxcol < Nx right_H_terms = getDirectional(vcat(H[:, maxcol]...), Horizontal) term_count += length(right_H_terms) end if 1 < col < Nx && 1 < ncol < Nx term_count += 1 end Hs = Vector{ITensor}(undef, term_count) term_counter = 1 @debug "\t\tBuilding I*H and H*I row $row col $col" @timeit "build HIs" begin edge = (1 < col < Nx && 1 < ncol < Nx) ? :none : ((col == 1 || ncol == 1) ? :left : :right) HIs = buildHIsTwoSiteHorizontal(A, L, R, row, col, ncol, ϕ; edge=edge) Hs[term_counter] = HIs[1] if length(HIs) == 2 Hs[term_counter+1] = HIs[2] end term_counter += length(HIs) if verbose println("--- HI TERMS ---") for HI in HIs println(scalar(HI * dag(ϕ)')/den) end end end @debug "\t\tBuilding vertical H terms row $row col $col" @timeit "build vertical terms" begin vTs = verticalTermsTwoSiteHorizontal(A, L, R, AncEnvs[:I], AncEnvs[:V], vert_H_terms, row, col, ncol, ϕ) Hs[term_counter:term_counter+length(vTs) - 1] = vTs term_counter += length(vTs) if verbose println( "--- vT TERMS ---") for vT in vTs println(scalar(vT * dag(ϕ)')/den) end end end @debug "\t\tBuilding field H terms row $row col $col" @timeit "build field terms" begin fTs = fieldTermsTwoSiteHorizontal(A, L, R, AncEnvs[:I], AncEnvs[:F], field_H_terms, row, col, ncol, ϕ) Hs[term_counter:term_counter+length(fTs) - 1] = fTs[:] term_counter += length(fTs) if verbose println( "--- fT TERMS ---") for fT in fTs println(scalar(fT * dag(ϕ)')/den) end end end @debug "\t\tBuilding interior H terms row $row col $col" @timeit "build interior terms" begin iTs = interiorTermsTwoSiteHorizontal(A, L, R, AncEnvs[:I], AncEnvs[:IT], interior_H_terms, row, col, ncol, ϕ) Hs[term_counter:term_counter+length(iTs) - 1] = iTs[:] term_counter += length(iTs) if verbose println( "--- interiorT TERMS ---") for iT in iTs println(scalar(iT * dag(ϕ)')/den) end end end if mincol > 1 @debug "\t\tBuilding left H terms row $row col $col" @timeit "build left terms" begin lTs = connectLeftTermsTwoSiteHorizontal(A, L, R, AncEnvs[:I], AncEnvs[:L], left_H_terms, row, col, ncol, ϕ) Hs[term_counter:term_counter+length(lTs) - 1] = lTs[:] term_counter += length(lTs) if verbose println( "--- lT TERMS ---") for lT in lTs println(scalar(lT * dag(ϕ)')/den) end end end @debug "\t\tBuilt left terms" end if maxcol < Nx @debug "\t\tBuilding right H terms row $row col $col" @timeit "build right terms" begin rTs = connectRightTermsTwoSiteHorizontal(A, L, R, AncEnvs[:I], AncEnvs[:R], right_H_terms, row, col, ncol, ϕ) Hs[term_counter:term_counter+length(rTs) - 1] = rTs[:] term_counter += length(rTs) if verbose println( "--- rT TERMS ---") for rT in rTs println(scalar(rT * dag(ϕ)')/den) end end end @debug "\t\tBuilt right terms" end return Hs, N end function intraColumnGaugeHorizontal(A::Vector{ITensor}; kwargs...)::Vector{ITensor} Ny = length(A) @inbounds for row in reverse(2:Ny) @debug "\tBeginning intraColumnGauge for col $col row $row" cmb_is = IndexSet(inds(A[row], "Site")) cmb_is = IndexSet(cmb_is..., inds(A[row], "Link,r")...) cmb = combiner(cmb_is, tags="CMB") Lis = IndexSet(combinedind(cmb)) #cmb_is if row < Ny Lis = IndexSet(Lis..., commonind(A[row], A[row + 1])) end old_ci = commonind(A[row], A[row-1]) Ac = A[row]*cmb U, S, V = svd(Ac, Lis; mindim=dim(old_ci), maxdim=dim(old_ci), cutoff=0.0, utags=tags(old_ci)) A[row] = U*cmb A[row-1] *= (S*V) #new_ci = commonind(A[row], A[row-1]) #A[row] = replaceind!(A[row], new_ci, old_ci) #A[row-1] = replaceind!(A[row-1], new_ci, old_ci) end return A end struct ITensorMapTwoSiteHorizontal A::Vector{ITensor} H::Matrix{Vector{Operator}} L::Environments R::Environments AncEnvs::NamedTuple row::Int col::Int ncol::Int end Base.eltype(M::ITensorMapTwoSiteHorizontal) = eltype(M.A[M.row]) Base.size(M::ITensorMapTwoSiteHorizontal) = ITensors.dim(M.A[M.row]) function (M::ITensorMapTwoSiteHorizontal)(v::ITensor) Hs, N = buildLocalHTwoSiteHorizontal(M.A, M.L, M.R, M.AncEnvs, M.H, M.row, M.col, M.ncol, v) localH = sum(Hs) return noprime(localH) end function optimizeLocalHTwoSiteHorizontal(A::Vector{ITensor}, L::Environments, R::Environments, AncEnvs, H, row::Int, col::Int, ncol::Int; kwargs...) Ny = length(A) Nx = size(H, 2) is_cu = is_gpu(A) field_H_terms = getDirectional(vcat(H[:, col]...), Field) vert_H_terms = getDirectional(vcat(H[:, col]...), Vertical) @debug "\tBuilding H for col $col row $row" @timeit "build H" begin Hs, N = buildLocalHTwoSiteHorizontal(A, L, R, AncEnvs, H, row, col, ncol, A[row]) end initial_N = real(scalar(collect(N * dag(A[row])'))) @timeit "sum H terms" begin localH = sum(Hs) end initial_E = real(scalar(collect(deepcopy(localH) * dag(A[row])'))) @info "Initial energy at row $row col $col : $(initial_E/(initial_N*Nx*Ny)) and norm : $initial_N" #println("Initial energy at row $row col $col : $(initial_E/(initial_N*Nx*Ny)) and norm : $initial_N") @debug "\tBeginning davidson for col $col row $row" mapper = ITensorMapTwoSiteHorizontal(A, H, L, R, AncEnvs, row, col, ncol) λ, new_A = davidson(mapper, A[row]; maxiter=2, kwargs...) new_E = λ N = buildNTwoSiteHorizontal(A, L, R, AncEnvs[:I], row, col, ncol, new_A) new_N = real(scalar(collect(N * dag(new_A)'))) @info "Optimized energy at row $row col $col : $(new_E/(new_N*Nx*Ny)) and norm : $new_N" #println("Optimized energy at row $row col $col : $(new_E/(new_N*Nx*Ny)) and norm : $new_N") @timeit "restore intraColumnGauge" begin if row < Ny @debug "\tRestoring intraColumnGauge for col $col row $row" cmb_is = IndexSet(inds(A[row], "Site")) cmb_is = IndexSet(cmb_is..., inds(A[row], "Link,r")...) cmb = combiner(cmb_is, tags="CMB") ci = combinedind(cmb) Lis = IndexSet(ci) if row > 1 Lis = IndexSet(Lis..., commonind(A[row], A[row - 1])) end old_ci = commonind(A[row], A[row+1]) svdA = new_A*cmb Ris = uniqueinds(inds(svdA), Lis) U, S, V = svd(svdA, Ris; mindim=dim(old_ci), maxdim=dim(old_ci), vtags=tags(old_ci)) new_ci = commonind(V, S) #replaceind!(V, new_ci, old_ci) A[row] = V*cmb newU = S*U*A[row+1] #replaceind!(newU, new_ci, old_ci) A[row+1] = newU if row < Ny - 1 nI = is_cu ? cuITensor(1.0) : ITensor(1.0) for si in inds(A[row+1], "Site") nI *= spinI(si; is_gpu=is_cu) end newAA = AncEnvs[:I][:above][end - row - 1] newAA *= L.I[row+1] newAA *= A[row+1] * nI newAA *= R.I[row+1] newAA *= dag(A[row+1])' AncEnvs[:I][:above][end - row] = newAA end else A[row] = initial_N > 0 ? new_A/√new_N : new_A end end return A, AncEnvs end function buildAncsHorizontal(A::fPEPS, Aj::Vector{ITensor}, L::Environments, R::Environments, H, col::Int, ncol::Int) Ny, Nx = size(A) is_cu = is_gpu(A) dummy = is_cu ? cuITensor(1.0) : ITensor(1.0) @timeit "makeAncIs" begin Ia = makeAncillaryIsHorizontal(A, Aj, L, R, col, ncol) Ib = Vector{ITensor}(undef, Ny) Is = (above=Ia, below=Ib) end @timeit "makeAncVs" begin vH = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Vertical) Va = makeAncillaryVsHorizontal(A, Aj, L, R, vH, col, ncol) Vb = [Vector{ITensor}() for ii in 1:length(Va)] Vs = (above=Va, below=Vb) end @timeit "makeAncFs" begin fH = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Field) Fa = makeAncillaryFsHorizontal(A, Aj, L, R, fH, col, ncol) Fb = [Vector{ITensor}() for ii in 1:length(Fa)] Fs = (above=Fa, below=Fb) end mincol, maxcol = extrema([col, ncol]) @timeit "makeAncInts" begin iH = getDirectional(vcat(H[:, mincol]...), Horizontal) ITa = makeAncillaryIntsHorizontal(A, Aj, L, R, iH, col, ncol) ITb = [Vector{ITensor}() for ii in 1:length(ITa)] ITs = (above=ITa, below=ITb) end Ls = (above=Vector{ITensor}(), below=Vector{ITensor}()) Rs = (above=Vector{ITensor}(), below=Vector{ITensor}()) if mincol > 1 @timeit "makeAncLs" begin lH = getDirectional(vcat(H[:, mincol-1]...), Horizontal) La = makeAncillarySideHorizontal(A, Aj, L, R, lH, col, ncol, :left) Lb = [Vector{ITensor}() for ii in 1:length(La)] Ls = (above=La, below=Lb) end end if maxcol < Nx @timeit "makeAncRs" begin rH = getDirectional(vcat(H[:, maxcol]...), Horizontal) Ra = makeAncillarySideHorizontal(A, Aj, R, L, rH, col, ncol, :right) Rb = [Vector{ITensor}() for ii in 1:length(Ra)] Rs = (above=Ra, below=Rb) end end Ancs = (I=Is, V=Vs, F=Fs, L=Ls, R=Rs, IT=ITs) return Ancs end function updateAncsHorizontal(A::fPEPS, Aj::Vector{ITensor}, L::Environments, R::Environments, AncEnvs, H, row::Int, col::Int, ncol::Int) Ny, Nx = size(A) is_cu = is_gpu(A) Is, Vs, Fs, Ls, Rs, ITs = AncEnvs @debug "\tUpdating ancillary identity terms for col $col row $row" Ib = updateAncillaryIsHorizontal(A, Aj, Is[:below], L, R, row, col, ncol) Is = (above=Is[:above], below=Ib) @debug "\tUpdating ancillary vertical terms for col $col row $row" vH = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Vertical) Vb = updateAncillaryVsHorizontal(A, Aj, Vs[:below], Ib, L, R, vH, row, col, ncol) Vs = (above=Vs[:above], below=Vb) @debug "\tUpdating ancillary field terms for col $col row $row" fH = getDirectional(vcat(H[:, col]..., H[:, ncol]...), Field) Fb = updateAncillaryFsHorizontal(A, Aj, Fs[:below], Ib, L, R, fH, row, col, ncol) Fs = (above=Fs[:above], below=Fb) mincol, maxcol = extrema([col, ncol]) @debug "\tUpdating interior field terms for col $col row $row" itH = getDirectional(vcat(H[:, mincol]...), Horizontal) ITb = updateAncillaryIntsHorizontal(A, Aj, ITs[:below], Ib, L, R, itH, row, col, ncol) ITs = (above=ITs[:above], below=ITb) if mincol > 1 @debug "\tUpdating ancillary left terms for col $col row $row" lH = getDirectional(vcat(H[:, mincol-1]...), Horizontal) Lb = updateAncillarySideHorizontal(A, Aj, Ls[:below], Ib, L, R, lH, row, col, ncol, :left) Ls = (above=Ls[:above], below=Lb) end if maxcol < Nx @debug "\tUpdating ancillary right terms for col $col row $row" rH = getDirectional(vcat(H[:, maxcol]...), Horizontal) Rb = updateAncillarySideHorizontal(A, Aj, Rs[:below], Ib, R, L, rH, row, col, ncol, :right) Rs = (above=Rs[:above], below=Rb) end Ancs = (I=Is, V=Vs, F=Fs, L=Ls, R=Rs, IT=ITs) return Ancs end function joincols(A::fPEPS, col::Int, ncol::Int)::Tuple{Vector{ITensor}, Vector{ITensor}} Ny, Nx = size(A) Aj = Vector{ITensor}(undef, Ny) cis = Vector{ITensor}(undef, Ny-1) for row in 1:Ny Aj[row] = A[row, col]*A[row, ncol] if row > 1 Aj[row] *= cis[row-1] end if row < Ny ci = combiner(commonindex(A[row, col], A[row+1,col]), commonindex(A[row, ncol], A[row+1, ncol]), tags="Link,u,ji$row") Aj[row] *= ci cis[row] = ci end end return Aj, cis end function unjoincols(A::fPEPS, Aj::Vector{ITensor}, cis::Vector{ITensor}, col::Int, ncol::Int)::fPEPS Ny, Nx = size(A) for row in 1:Ny if row > 1 Aj[row] *= cis[row-1] end if row < Ny Aj[row] *= cis[row] end end for row in 1:Ny col_is = commoninds(Aj[row], A[row, col]) cnc_ci = commonind(A[row, col], A[row, ncol]) U, S, V = svd(Aj[row], col_is; mindim=dim(cnc_ci), maxdim=dim(cnc_ci), lefttags=tags(cnc_ci), cutoff=0.) A[row, col] = U A[row, ncol] = S*V end D = dim(commonind(A[1, col], A[1, ncol])) return A end function sweepColumnHorizontal(A::fPEPS, L::Environments, R::Environments, H, col::Int, ncol::Int; kwargs...) Ny, Nx = size(A) #println("Sweeping column $col with next column $ncol") is_cu = is_gpu(A) dummyI = is_cu ? MPS([cuITensor(1.0) for ii in 1:Ny], 0, Ny+1) : MPS([ITensor(1.0) for ii in 1:Ny], 0, Ny+1) dummyEnv = Environments(dummyI, dummyI, fill(ITensor(), 1, Ny), fill(ITensor(), 1, Ny)) @debug "Beginning buildAncs for col $col" Aj, jis = joincols(A, col, ncol) @timeit "intraColumnGauge Aj" begin Aj = intraColumnGaugeHorizontal(Aj; kwargs...) end AncEnvs = buildAncsHorizontal(A, Aj, L, R, H, col, ncol) @inbounds for row in 1:Ny if row > 1 @timeit "updateAncs" begin AncEnvs = updateAncsHorizontal(A, Aj, L, R, AncEnvs, H, row-1, col, ncol) end end @debug "Beginning optimizing H for col $col" Aj, AncEnvs = optimizeLocalHTwoSiteHorizontal(Aj, L, R, AncEnvs, H, row, col, ncol; kwargs...) end #A = unjoincols(A, Aj, jis, col, ncol) #return A return A, Aj end
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1.700587
21,619
function zad39(A,el1) a,b = size(A) s = 0 V = [] for i in 1:a for j in 1:b if i == j && A[i,j] > el1 s +=A[i,j] end if rem(i,2)==1 && rem(A[i,j],el1) == 0 push!(V,A[i,j]) end end end return V, s end
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1.480198
202
include("arrviews.jl") include("contrank.jl") include("subviews.jl") include("linalg.jl") include("convenience.jl")
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2.761905
42
using AlphaShapes include("../src/utils.jl") using Plots using Main.AlphaShapes using LinearAlgebra using Random Random.seed!(31415926535897) N = 1000 r1 = 0.75 r2 = 2.0 X = randn(N,2) ind = [((norm(X[i,:])>r1) + (norm(X[i,:])<r2)) == 2 for i in 1:size(X,1)] X = X[ind.==true,:] # normally distributed points with a whole in the middle p1 = scatter(X[:,1],X[:,2],label="",aspect_ratio=:equal) T = AlphaShapes.GetDelaunayTriangulation(X); p1 = scatter(X[:,1],X[:,2],label="",aspect_ratio=:equal) [DrawTri!(T[i,:,:]) for i in 1:size(T,1)] plot!(title="Delaunay Triangulation") A = AlphaShape(X); p2 = scatter(X[:,1],X[:,2],label="",aspect_ratio=:equal) [DrawTri!(A[i,:,:]) for i in 1:size(A,1)] plot!(title="Optimum Alpha Shape Triangulation") p = plot(p1,p2,size=(900,300)) savefig(p,"Example.png")
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2.252809
356
using CSV using DataFrames using StatsPlots using Statistics using Dates const FULL_FILE_PROCESSED = joinpath("data","Melbourne_housing_FULL_processed_2.csv") const SOLD_METHODS = ["S", "SP", "PI", "PN", "SN", "SA", "SS"] """ currency_format(num)::String Takes a number, returns it as a string in currency (\$AUD) form. Taken from [here](https://stackoverflow.com/questions/52213829/in-julia-insert-commas-into-integers-for-printing-like-python-3-6/52213830#52213830). # Examples ```jldoctest julia>a = 10000 10000 julia>currency_format(a) \$10,000 ``` """ currency_format(num)::String = "\$" * replace(num |> string, r"(?<=[0-9])(?=(?:[0-9]{3})+(?![0-9]))" => ",") function aggregate_date_to_months!(df::AbstractDataFrame, col=:Date) transform!(df, col => ByRow(x->DateTime(Dates.year(x), Dates.month(x))) => col) end """ plot_time_sales(df::AbstractDataFrame) Returns a line graph of house sales over time, aggregated by month. Only considers houses with a Method in SOLD_METHODS. """ function plot_time_sales(df::AbstractDataFrame) df_time_sales = combine(groupby(filter!(:Method => x->x in SOLD_METHODS, select(df, :Date, :Method)) |> aggregate_date_to_months!, :Date), nrow => :count) xticks_range = DateTime(2015, 12):Dates.Month(4):DateTime(2017, 12) xticks=(xticks_range, [Dates.format(tick, "yyyy-mm") for tick in xticks_range]) return @df df_time_sales plot(:Date, :count, seriestype=:line, xticks=xticks, xlims=(DateTime(2015, 10), DateTime(2018, 3)), linecolor=:red, linewidth=5, label=false, xlabel="Month of Sale", ylabel="Number of Properties Sold", plot_title="Properties Sold By Month") end """ plot_time_price(df::AbstractDataFrame) Returns a line graph of mean sale price over time, aggregated by months. Two more lines appear on this chart; they are `mean + std` and `mean - std` respectively. """ function plot_time_price(df::AbstractDataFrame) df_time_price = combine(groupby(dropmissing!(filter!(:Method => x->x in SOLD_METHODS, select(df, :Date, :Method, :Price)) |> aggregate_date_to_months!, :Price), :Date), nrow => :count, :Price => mean => :Price_mean, :Price => std => :Price_std) transform!(df_time_price, [:Price_mean, :Price_std] => ByRow((x, y) -> (x - y, x + y)) => [:Price_mean_nstd, :Price_mean_pstd]) plot_mean = @df df_time_price plot(:Date, :Price_mean, linewidth=5, seriestype=:line, linecolor=:green, label="Mean") yticks_range = 400000:400000:2000000 yticks = (yticks_range, currency_format.(yticks_range)) xticks_range = DateTime(2016, 4):Dates.Month(4):DateTime(2017, 12) xticks=(xticks_range, [Dates.format(tick, "yyyy-mm") for tick in xticks_range]) return @df df_time_price plot(plot_mean, :Date, [:Price_mean_nstd, :Price_mean_pstd], linewidth=1, seriestype=:line, linestyle=:dash, linecolor=:blue, ylims=(0, 2000000), yticks=yticks, xticks=xticks, label="", xlabel="Month of Sale", ylabel="Mean Sale Price, w/ St. Dev. (\$AUD)", plot_title="Sale Price Over Time") end """ plot_time_type(df::AbstractDataFrame) Returns a line graph of the proportion of houses sold in relation to other properties over time, aggregated by month. """ function plot_time_type(df::AbstractDataFrame) df_time_type = filter!(:Method => x->x in SOLD_METHODS, select(df, :Date, :Method, :Type) |> aggregate_date_to_months!) count_dates(df) = combine(groupby(df, :Date), :Type => x->count((a->a=="h"), x) / length(x)) df_time_type_all = df_time_type |> count_dates xticks_range = DateTime(2016, 2):Dates.Month(4):DateTime(2018, 3) xticks=(xticks_range, [Dates.format(tick, "yyyy-mm") for tick in xticks_range]) yticks_range = 0.5:0.05:0.8 yticks = (yticks_range, 100 .* yticks_range) return @df df_time_type_all plot(:Date, :Type_function, seriestype=:line, linewidth=3, linecolor=:orange, label="", xticks=xticks, xlims = (DateTime(2016, 1), DateTime(2018, 3)), ylims=(0.45, 0.85), yticks=yticks, xlabel="Month of Sale", ylabel="Percentage of Properties Sold as Houses", plot_title = "Hice as a Proportion of Sold Properties", fillrange=0.45, fillcolor=:brown, tickdirection=:out) end generate_task3_df(filename=FULL_FILE_PROCESSED) = transform!(DataFrame(CSV.File(FULL_FILE_PROCESSED)), :Date => ByRow(x->Date(x, dateformat"d/m/y")) => :Date) |> sort!
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2.64536
1,627
using Bridge, StaticArrays, Bridge.Models using Test, LinearAlgebra iterations = 5000 rho = 0.05 # independent = false # true independent proposals t = 1.0 T = 1.75 n = 5001 # total imputed length m = 10 # number of segments M = div(n-1,m) skiplast = 0 skippoints = 2 dt = (T-t)/(n-1) tt = t:dt:T si = 3. P = Bridge.Models.Lorenz(ℝ{3}(10, 20, 8/3), ℝ{3}(si,si,si)) x0 = Models.x0(P) W = sample(tt, Wiener{ℝ{3}}()) X = SamplePath(tt, zeros(ℝ{3}, length(tt))) Bridge.solve!(Euler(), X, x0, W, P) Y = Bridge.solve!(Bridge.R3(), copy(X), x0, P) # Observation scheme and subsample _pairs(collection) = Base.Generator(=>, keys(collection), values(collection)) L = I Σ = SDiagonal(1., 1., 1.) lΣ = cholupper(Σ)' RV = ℝ{3} V = SamplePath(collect(_pairs(X))[1:M:end]) #Vo = copy(V) map!(y -> L*y + lΣ*randn(RV), V.yy, V.yy) XX = Vector{typeof(X)}(undef, m) XXmean = Vector{typeof(X)}(undef, m) XXᵒ = Vector{typeof(X)}(undef, m) WW = Vector{typeof(W)}(undef, m) WWᵒ = Vector{typeof(W)}(undef, m) Xtrue = copy(X) # Create linear noise approximations forward = false # direction of the linear noise approximation TPt = Any TPᵒ = Any 𝕃 = typeof(Bridge.outer(zero(x0))) Phi = Vector{Any}(undef, m) Pt = Vector{TPt}(undef, m) Pᵒ = Vector{TPᵒ}(undef, m) H♢ = Bridge.outer(zero(x0)) #v = Xtrue.yy[end] v = ( L' * inv(Σ) * L)\(L' * inv(Σ) * V.yy[end]) H♢ = one(Bridge.outer(zero(x0)))*inv( L' * inv(Σ) * L) for i in m:-1:1 XX[i] = SamplePath(X.tt[1 + (i-1)*M:1 + i*M], X.yy[1 + (i-1)*M:1 + i*M]) WW[i] = SamplePath(W.tt[1 + (i-1)*M:1 + i*M], W.yy[1 + (i-1)*M:1 + i*M]) # short-cut, take v later Pt[i] = Bridge.LinearAppr(Y[1 + (i-1)*M:1 + i*M], P) Phi[i] = Bridge.solvei(Bridge.R3(), (i,C,iP) -> Bridge.Bi(iP[1],iP[2])*C, XX[i].tt, one(𝕃), Pt[i]) #Bridge.LinearNoiseAppr(XX[i].tt, P, XX[i].yy[end], Bridge.a(XX[i].tt[end], XX[i].yy[end], P), forward) #Pt[i] = Bridge.LinearNoiseAppr(XX[i].tt, P, v, Bridge.a(XX[i].tt[end], v, P), forward) Pᵒ[i] = Bridge.GuidedBridge(XX[i].tt, P, Pt[i], v, H♢) H♢, v = Bridge.gpupdate(Pᵒ[i], L, Σ, V.yy[i]) end v0 = V.yy[1] #v0 = v y = x0 for i in 1:m sample!(WW[i], Wiener{ℝ{3}}()) y = Bridge.solve!(Euler(), XX[i], y, WW[i], Pᵒ[i]) end XXmean = [zero(XX[i]) for i in 1:m] μ0 = ℝ{3}(0,0,0) Σ0 = SDiagonal(40., 40., 40.) π0 = Bridge.Gaussian(μ0 + Σ0*L'*inv(L*Σ0*L' + Σ)*(v0 - L*μ0), Σ0 - Σ0*L'*inv(L*Σ0*L' + Σ)*L*Σ0) H♢, v = Bridge.gpupdate(Pᵒ[1], L, Σ0, V.yy[1]) π0 = Bridge.Gaussian(v, H♢) if false using GLVisualize, Colors, GeometryTypes window = glscreen() sca = 1/15 phi = Float32(0.2*2pi) rotation = @SMatrix Float32[ sca*cos(phi) -sca*sin(phi) 0.0 0.0 sca*sin(phi) sca*cos(phi) 0.0 0.0 0.0 0.0 sca*1.0 -1.25 0.0 0.0 0.0 1.0] X3d = visualize( Point3f0.(X.yy), :lines, color = RGBA{Float32}(0.04, 0.15, 0.44, 0.6), model = rotation, ) XX3d = visualize( Point3f0.(vcat(XX...).yy), :lines, color = RGBA{Float32}(0.04, 0.44, 0.12, 0.6), model = rotation, ) Y3d = visualize( Point3f0.(Y.yy), :lines, color = RGBA{Float32}(0.54, 0.15, 0.14, 0.6), model = rotation, ) circle = Sphere(Point2f0(0), 1f0) V3d = visualize( (circle, Point3f0.(V.yy)), scale = fill(sca*0.5Point2f0(1,1), length(V)), color = RGBA{Float32}(0.7, 0.3, 0., 0.8), model = rotation, ) _view(X3d, window, camera = :perspective) _view(XX3d, window, camera = :perspective) _view(Y3d, window, camera = :perspective) _view(V3d, window, camera = :perspective) renderloop(window) end h = sqrt(eps()) @test norm(SMatrix{3,3}(Iterators.flatten(h\(Bridge.b(0, x0 + h*eye(SMatrix{3,3,Float64})[i,:], P) - Bridge.b(0, x0, P)) for i in 1:3)...) - Bridge.bderiv(0, x0, P)) < 100h
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1.850923
2,113
const KEYWORDS = ( canvas = BrailleCanvas, symbols = ['■'], title = "", name = "", xlabel = "", ylabel = "", zlabel = "", xscale = :identity, yscale = :identity, labels = true, border = :solid, width = DEFAULT_WIDTH[], height = DEFAULT_HEIGHT[], xlim = (0, 0), ylim = (0, 0), zlim = (0, 0), margin = 3, padding = 1, color = :auto, colorbar_lim = (0, 1), colorbar_border = :solid, colormap = :viridis, colorbar = false, unicode_exponent = true, compact = false, blend = true, grid = true, # internals visible = true, fix_ar = false, ) const DESCRIPTION = ( # NOTE: this named tuple has to stay ordered x = "horizontal position for each point", y = "vertical position for each point", symbols = "characters used to render the bars", title = "text displayed on top of the plot", name = "current drawing annotation displayed on the right", xlabel = "text displayed on the `x` axis of the plot", ylabel = "text displayed on the `y` axis of the plot", zlabel = "text displayed on the `z` axis (colorbar) of the plot", xscale = "`x`-axis scale (`:identity`, `:ln`, `:log2`, `:log10`), or scale function e.g. `x -> log10(x)`", yscale = "`y`-axis scale", labels = "show plot labels", border = "plot bounding box style (`:corners`, `:solid`, `:bold`, `:dashed`, `:dotted`, `:ascii`, `:none`)", margin = "number of empty characters to the left of the whole plot", padding = "left and right space between the labels and the canvas", color = "choose from (`:green`, `:blue`, `:red`, `:yellow`, `:cyan`, `:magenta`, `:white`, `:normal`, `:auto`), use an integer in `[0-255]`, or provide `3` integers as `RGB` components", width = "number of characters per canvas row", height = "number of canvas rows", xlim = "plotting range for the `x` axis (`(0, 0)` stands for automatic)", ylim = "plotting range for the `y` axis", zlim = "colormap scaled data range", colorbar = "toggle the colorbar", colormap = "choose from (`:viridis`, `:cividis`, `:plasma`, `:jet`, `:gray`, `keys(UnicodePlots.COLOR_MAP_DATA)`...), or supply a function `f: (z, zmin, zmax) -> Int(0-255)`, or a vector of RGB tuples", colorbar_lim = "colorbar limit", colorbar_border = "color bar bounding box style (`:solid`, `:bold`, `:dashed`, `:dotted`, `:ascii`, `:none`)", canvas = "type of canvas used for drawing", grid = "draws grid-lines at the origin", compact = "compact plot labels", unicode_exponent = "use `Unicode` symbols for exponents: e.g. `10²⸱¹` instead of `10^2.1`", blend = "blend colors on the underlying canvas", fix_ar = "fix terminal aspect ratio (experimental)", visible = "visible canvas", ) const Z_DESCRIPTION = (:zlabel, :zlim, :colorbar, :colormap, :colorbar_lim, :colorbar_border) const DEFAULT_KW = ( # does not have to stay ordered :name, :title, :xlabel, :ylabel, :zlabel, :xscale, :yscale, :labels, :border, :width, :height, :xlim, :ylim, :zlim, :unicode_exponent, :compact, :blend, :grid, :padding, :margin, ) const DEFAULT_EXCLUDED = ( :visible, # internals :fix_ar, # experimental Z_DESCRIPTION..., # by default for 2D data ) base_type(x) = replace(string(typeof(x).name.name), "64" => "") default_with_type(s::Symbol) = ( if s in keys(KEYWORDS) "$s::$(base_type(KEYWORDS[s])) = $(KEYWORDS[s] |> repr)" else s |> string end ) """ keywords([extra]; default = DEFAULT_KW, add = (), exclude = DEFAULT_EXCLUDED, remove = ()) Adds default keywords to a function signature, in a docstring. # Arguments - `extra::NamedTuple`: add extra keywords in the form `keyword=value`. - `default::Tuple`: default `UnicodePlots` keywords. - `add::Tuple`: add extra symbols, not listed in `default` but present in `KEYWORDS`. - `remove::Tuple`: remove symbols from `default`. """ function keywords( extra::NamedTuple = NamedTuple(); default::Tuple = DEFAULT_KW, add::Tuple = (), exclude::Tuple = DEFAULT_EXCLUDED, remove::Tuple = (), ) all_kw = (; KEYWORDS..., extra...) candidates = keys(extra) ∪ filter(x -> x ∈ add ∪ default, DEFAULT_KW) kw = filter(x -> x ∉ setdiff(exclude ∪ remove, add), candidates) @assert allunique(kw) # extra check join((k isa Symbol ? "$k = $(all_kw[k] |> repr)" : k for k in kw), ", ") end """ arguments([desc]; default = DEFAULT_KW, add = (), exclude = DEFAULT_EXCLUDED, remove = ()) Defines arguments for docstring genreration. # Arguments - `desc::NamedTuple`: add argument description in the form `arg=desc`. - `default::Tuple`: default `UnicodePlots` keywords. - `add::Tuple`: add extra symbols, not listed in `default` but present in `DESCRIPTION`. - `remove::Tuple`: remove symbols from `default`. """ function arguments( desc::NamedTuple = NamedTuple(); default::Tuple = DEFAULT_KW, add::Tuple = (), exclude::Tuple = DEFAULT_EXCLUDED, remove::Tuple = (), ) get_description(n, d) = begin str = d[n] @assert str[1] === '`' || islowercase(str[1]) # description starts with a lowercase string, or `something` @assert str[end] !== '.' # trailing dot will be added later str end all_desc = (; DESCRIPTION..., desc...) # desc preempts defaults ! candidates = keys(desc) ∪ filter(x -> x ∈ add ∪ default, keys(DESCRIPTION)) # desc goes first ! kw = filter(x -> x ∉ setdiff(exclude ∪ remove, add), candidates) @assert allunique(kw) # extra check join( ("- **`$(default_with_type(k))`** : $(get_description(k, all_desc))." for k in kw), '\n', ) end
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2.522668
2,294
using JuMP, vOptGeneric, GLPK, Combinatorics using Test, LinearAlgebra m = vModel(GLPK.Optimizer) ; JuMP.set_silent(m) @variable(m, x[1:6,1:6], Bin) @variable(m, y, Bin) M = 50 p1 = [M 4 5 M M M; M M 2 1 2 7; M M M 5 2 M; M M 5 M M 3; M M M M M 4; M M M M M M] p2 = [M 3 1 M M M; M M 1 4 2 2; M M M 1 7 M; M M 1 M M 2; M M M M M 2; M M M M M M] @addobjective(m, Min, sum(x[i,j]*p1[i,j] for i=1:6, j=1:6) + 5) @addobjective(m, Min, sum(x[i,j]*p2[i,j] for i=1:6, j=1:6) - 5) @constraint(m, sum(x[1,j] for j = 1:6) == 1) @constraint(m, sum(x[i,6] for i = 1:6) == 1) @constraint(m, cstr[i=2:5], sum(x[i,j] for j = 1:6) - sum(x[j,i] for j =1:6) == 0) vSolve(m, method=:epsilon) Y_N = getY_N(m) f1, f2 = first.(Y_N), last.(Y_N) @test f1 == [13, 15, 16, 18] && f2 == [4, 2, 0, -1] @test value.(x, 1) == [0.0 1.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 1.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 1.0; 0.0 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 0.0] printX_E(m) ###################### # to test once https://github.com/JuliaOpt/JuMP.jl/issues/1956 is fixed @test_broken begin m_copy = copy(m) # vSolve(m_copy, GLPK.Optimizer, method=:epsilon) # Y_N = getY_N(m) # f1 = map(x -> x[1], Y_N) ; f2 = map(x -> x[2], Y_N) # @test f1 == [8.0,10.0,11.0,13.0] && f2 == [9.0,7.0,5.0,4.0] # @test value.(x, 1) == [0.0 1.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 1.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 1.0; 0.0 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0 0.0] # printX_E(m_copy) end ###################### # tests DenseAxisArrays indexing # http://www.juliaopt.org/JuMP.jl/v0.19.1/variables/#variable_jump_arrays-1 m = vModel(GLPK.Optimizer) ; JuMP.set_silent(m) # JuMP.set_optimizer_attribute(m, "logLevel", 0) cities = ["Paris", "New-York", "Madrid"] @variable(m, x[cities], Bin) @constraint(m, constr, x["Paris"] >= 1) @addobjective(m, Min, sum(x)) @addobjective(m, Max, sum(x)) vSolve(m, method=:epsilon) @show value.(x, 1) @test value.(x, 1)["Paris"] == 1.0 @test value.(x, 1)["New-York"] == 0.0 @test value.(x, 1)["Madrid"] == 0.0 ###################### # TODO : write a test for SparseAxisArray # http://www.juliaopt.org/JuMP.jl/v0.19.1/variables/#variable_sparseaxisarrays-1 ###################### # TODO : re-implement writeMOP and parseMOP # writeMOP(m, "test.txt") # m = parseMOP("test.txt", solver = GLPKSolverMIP()) # solve(m, method=:dichotomy) # Y_N = getY_N(m) # f1 = map(x -> x[1], Y_N) # f2 = map(x -> x[2], Y_N) # @test f1 == [8.0, 11.0, 13.0] # @test f2 == [9.0, 5.0, 4.0] ###################### m = vModel(GLPK.Optimizer) ; JuMP.set_silent(m) # JuMP.set_optimizer_attribute(m, "logLevel", 0) p1 = [77,94,71,63,96,82,85,75,72,91,99,63,84,87,79,94,90,60,69,62] p2 = [65,90,90,77,95,84,70,94,66,92,74,97,60,60,65,97,93,60,69,74] w = [80,87,68,72,66,77,99,85,70,93,98,72,100,89,67,86,91,79,71,99] c = 900 size = length(p1) @variable(m, x[1:size], Bin) @addobjective(m, Max, dot(x, p1)) @addobjective(m, Max, dot(x, p2)) @constraint(m, dot(x, w) <= c) vSolve(m, method=:dicho) Y_N = getY_N(m) f1, f2 = first.(Y_N), last.(Y_N) @test f1 == [918.0, 934.0, 948.0, 955.0] @test f2 == [984.0, 971.0, 939.0, 906.0] @test value.(x, 1) ≈ [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0] vSolve(m, method=:chalmet) Y_N = getY_N(m) f1, f2 = first.(Y_N), last.(Y_N) @test f1 == [918., 924., 927., 934., 935., 940., 943., 948., 949., 952., 955.] @test f2 == [984., 975., 972., 971., 947., 943., 940., 939., 915., 909., 906.] @test value.(x, 1) ≈ [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0] ######################## m = vModel(GLPK.Optimizer) ; JuMP.set_silent(m) # JuMP.set_optimizer_attribute(m, "logLevel", 0) @variable(m, 0 <= x[1:4] <= 2, Int) @addobjective(m, Max, sum(x)) @addobjective(m, Min, sum(x)) @addobjective(m, Max, x[3]) @addobjective(m, Max, x[4]) @constraint(m, sum(x) <= 3) vSolve(m, method=:lex) Y_N = getY_N(m) for (ind, perm) in enumerate(permutations(1:4, 4)) if perm[1] == 2 @test Y_N[ind] == [0., 0., 0., 0.] elseif perm[2] == 2 && perm[1] != 1 @test maximum(Y_N[ind]) == 2. end end
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1.749901
2,527
using Knet using AutoGrad import AutoGrad: gcheck using Test using CUDA include("layers.jl")
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3.1
30
abstract type AbstractSingleValuedUtility end abstract type AbstractIsoElastic <: AbstractSingleValuedUtility end dutil(c, ps::AbstractIsoElastic)=c^(-rra(ps)) invdutil(m, ps::AbstractIsoElastic)=m^(-1/rra(ps)) " IsoElastic IsoElastic specification for a utility with one good. The parametrization is either ```math U(c) = \frac{c^{1-\alpha}-1}{1-\alpha} ``` or ```math U(c) = \frac{c^{1-\alpha}}{1-\alpha} ``` (depending on whether IsoElasticVar2 is passed to `util`.) The field `elast` corresponds to α. " struct IsoElastic <: AbstractIsoElastic elast::Float64 function IsoElastic(elast) elast == 1 && error("Please use log utility specification") new(elast) end end struct LogUtility <: AbstractIsoElastic end function IsoElastic(;a::Float64) a == 1 && return LogUtility() return(IsoElastic(a)) end # Methods for iso-elastic types struct IsoElasticVar2 end util(c, ps::IsoElastic, ::Type{IsoElasticVar2})=c^(1-ps.elast)/(1-ps.elast) util(c, ps::IsoElastic)=util(c,ps,IsoElasticVar2)-1/(1-ps.elast) invutil(u, ps::IsoElastic)=(u*(1-ps.elast)+1)^(1/(1-ps.elast)) util(c, ::LogUtility)=log(c) invutil(u, ::LogUtility)=exp(u) rra(ps::IsoElastic)=ps.elast rra(::LogUtility)=1. " Constant absolute risk aversion specification " struct CARA <: AbstractSingleValuedUtility a::Float64 end util(c, ps::CARA)=(1 - exp(-ps.a * c))/ps.a invutil(u, ps::CARA)=(-1/ps.a)*log(1 - ps.a*u) dutil(c, ps::CARA)=exp(-ps.a * c) invdutil(m, ps::CARA)=-log(m)/ps.a " Risk neutral specification " struct RiskNeutral <: AbstractIsoElastic end util(c, ps::RiskNeutral)=c invutil(u, ps::RiskNeutral)=u dutil(c, ps::RiskNeutral)=one(c) invdutil(c, ps::RiskNeutral)=error("Tried to invert constant marginal utility from risk neutral agent")
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2.388964
743
using Base.Test using NGSIM using NBInclude # nbinclude(joinpath(dirname(@__FILE__), "..", "jnotebooks", "Demo.ipynb"))
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2.5
48
# ------------------ # # Iteration managers # # ------------------ # abstract type IterationManager end struct OneStepGMM <: IterationManager k::RobustVariance demean::Bool end struct TwoStepGMM <: IterationManager k::RobustVariance demean::Bool end struct IterativeGMM <: IterationManager k::RobustVariance demean::Bool tol::Float64 maxiter::Int end # kwarg constructors with default values OneStepGMM(;k::RobustVariance=HC0(), demean::Bool = false) = OneStepGMM(k, demean) TwoStepGMM(;k::RobustVariance=HC0(), demean::Bool = false) = TwoStepGMM(k, demean) OneStepGMM(k::RobustVariance) = OneStepGMM(k, false) TwoStepGMM(k::RobustVariance) = TwoStepGMM(k, false) function IterativeGMM(;k::RobustVariance=HC0(), demean::Bool = false, tol::Float64=1e-12, maxiter::Int=500) IterativeGMM(k, demean, tol, maxiter) end mutable struct IterationState n::Array{Int, 1} change::Array{Float64, 1} prev::Array{Float64, 1} # previous value end finished(::OneStepGMM, ist::IterationState) = ist.n[1] > 1 finished(::TwoStepGMM, ist::IterationState) = ist.n[1] > 2 function finished(mgr::IterativeGMM, ist::IterationState) ist.n[1] > mgr.maxiter[1] || abs(ist.change[1]) <= mgr.tol end
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2.47
500
using PyProj using Base.Test let p1 = PyProj.Proj("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") p2 = PyProj.Proj("+proj=geocent +datum=WGS84 +no_defs") let lon, lat, height = 0, 0, 0 x, y, z = PyProj.transform(p1, p2, lon, lat, height) @test isapprox(x, 6.378137e6) @test isapprox(y, 0) @test isapprox(z, 0) end let lon, lat, height = pi/2, 0, 0 x, y, z = PyProj.transform(p1, p2, lon, lat, height, true) @test isapprox(x, 0, atol=1e-3) @test isapprox(y, 6.378137e6) @test isapprox(z, 0) end let lon, lat, height = 0, -90, -1000000 x, y, z = PyProj.transform(p1, p2, lon, lat, height) @test isapprox(x, 0, atol=1e-3) @test isapprox(y, 0, atol=1e-3) @test isapprox(z, -5.356752314245179e6) end let lon, lat, height = 10, 20, 30000 x, y, z = PyProj.transform(p1, p2, lon, lat, height) lon_, lat_, height_ = PyProj.transform(p2, p1, x, y, z) @test isapprox(lon_, lon) @test isapprox(lat_, lat) @test isapprox(height_, height) end end
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1.776235
648
# julia 1.2 push!(LOAD_PATH,pwd()) using PyPlot # import src include("src.jl") # init a model MC = ( L = exp.([-0.4, 0.4]), # labor endow states P = [0.8 0.2 ; 0.2 0.8], #transition matrix π = [0.5,0.5], # stationary distribution ) M = src.ModelBasic( N = 1.0, BOTTOM_VAL = -6.66E36, AGG_SEED = 20200417, AGG_SIMU_SIZE = 10000, AGG_DROP_FIRST_SIZE = 1000, Na = 200, alim = (0.0,4.5), lgrid = MC.L, P = MC.P, π = MC.π, θ = 0.36, δ = 0.08, β = 0.96, μ = 2.0 ) # search ss @time src.solve_ss_gs!(M, 1.0 , max_iter_ss = 500, max_iter_hh = 500, rtol_ss = 1E-3, rtol_hh = 1E-3, step_size_ss = 0.7, step_size_hh = 0.7, print_err_ss = true, print_err_hh = false, if_golden = true ) # visualization plot(M.agrid, M.HHPolicy.aOpt[:,1], linewidth = 0.75) plot(M.agrid, M.HHPolicy.aOpt[:,2], "--", linewidth = 0.75) plot(M.agrid, M.agrid, "-.", linewidth = 0.75) legend(["l - low","l - high", L"$\pi/4$"])
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2
460
#### Cauchy matrix export Cauchy struct Cauchy{T} <: AbstractMatrix{T} x::Vector{T} # y::Vector{T} # end # immutable function Cauchy(k::Number) Cauchy(collect(1:k),collect(1:k)) end function Cauchy(x::Vector) Cauchy(x,x) end # Define its size size(A::Cauchy, dim::Integer) = length(A.x) size(A::Cauchy)= size(A,1), size(A,1) # Index into a Cauchy function getindex(A::Cauchy,i::Integer,j::Integer) return 1.0/(A.x[i]+A.y[j]) end # getindex # Dense version of Cauchy Matrix(A::Cauchy) = [A[i,j] for i=1:size(A,1), j=1:size(A,2)]
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using CollegeStratBase using Test @testset "All" begin include("directories_test.jl"); include("unit_conversion_test.jl"); include("notation_test.jl"); include("display_test.jl"); include("helpers_test.jl"); include("school_groups_test.jl"); end # ---------------
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using Test using SeDuMi # Dual: # max x # [1 x # y 1] ⪰ 0 # which is transformed by SeDuMi into # max x # [ 1 (x+y)/2 # (x+y)/2 1 ] ⪰ 0 # Which is unbounded with the unbounded the ray (1, -1). @testset "Semidefinite Programming example" begin @testset "Bounded" begin # We add y ≥ 0 to make it bounded, Now the optimal solution is `(2, 0)` # with the matrix [1 1 # 1 1] of eigenvalues (0, 2). A = -[0.0 0.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 0.0] b = [1.0, 0.0] c = [0.0, 1.0, 0.0, 0.0, 1.0] primal, dual, info = sedumi(A, b, c, SeDuMi.Cone(0, 1, [], [], [2]), fid=0) @test primal ≈ [1, 1, -1, -1, 1] @test dual ≈ [2.0, 0.0] @test info["pinf"] == 0.0 @test info["dinf"] == 0.0 @test info["numerr"] == 0.0 @test info["iter"] == 3.0 @test info["feasratio"] ≈ 1.0 rtol=1e-4 end @testset "Unbounded" begin A = -[0.0 0.0 1.0 0.0 0.0 1.0 0.0 0.0] b = [1.0, 0.0] c = [1.0, 0.0, 0.0, 1.0] primal, dual, info = sedumi(A, b, c, SeDuMi.Cone(0, 0, [], [], [2]), fid=0) @test isempty(primal) @test dual == [1.0, -1.0] @test info["pinf"] == 1.0 end end
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@testset "CoreModelCoupled generic interface" begin model = load_model(CoreModelCoupled, model_paths["e_coli_core.mat"]) @test reaction_stoichiometry(model, "EX_ac_e") == Dict("ac_e" => -1) @test reaction_stoichiometry(model, 44) == Dict("ac_e" => -1) end
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using Flux using StatsBase, Statistics, IterTools using Flux: Data.DataLoader using Printf, EvalMetrics @doc """ residual_block(f::Int64, ks::Int64) Create residual block of `f` filters and `ks` kernel-size. """ -> function residual_block(f::Int64, ks::Int64) sigmoid_tanh = Chain(x->σ.(x) .* tanh.(x)) return Chain( Dropout(0.1), Conv((ks,), f => f, identity; stride=ks), sigmoid_tanh, Conv((1,), f => f, identity; stride=1) ) end @doc """ build_wavenet(features::Int64, in_dim::Int64; filters::Int64=5, kernel_size::Int64=2, out_dim::Int64) Build the wavenet-nn for samples which consists of `in_dim` sub-samples and each sub sample has got `features` dimension. The `filters` and `kernel_size` are numbers of filters and kernel size for each convolution, `out_dim` is number of target classes. Returns the model. """ -> function build_wavenet(features::Int64, in_dim::Int64; filters::Int64=12, kernel_size::Int64=2, out_dim::Int64=1) parts = [] stack_conv1d = Conv((1,), features=>filters, identity; stride=1) append!(parts, [stack_conv1d]) res_blocks = [] res_connetcions_mean = [] res_connetcions_max = [] res_lc_coefs = [] res_blocks_cnt::Int64 = in_dim #= Create residual blocks. =# while res_blocks_cnt >= kernel_size res_block = residual_block(filters, kernel_size) append!(res_blocks, [res_block]) res_blocks_cnt = Int(floor(res_blocks_cnt / kernel_size)) a = 1.0 b = 1.0 append!(res_connetcions_mean, [Chain(AdaptiveMeanPool((res_blocks_cnt,)), x-> x.*a)]) append!(res_connetcions_max, [Chain(AdaptiveMaxPool((res_blocks_cnt,)), x-> x.*b)]) append!(res_lc_coefs, [[a, b]]) end #= Create skip blocks. =# skip_blocks = [] for i=1:length(res_blocks) append!(skip_blocks, [Chain(Conv((1,), filters => 1, identity; stride=1), Flux.flatten, Dense(Int(floor(in_dim/2^i)), 1, identity))]) end σ_ = Chain(x->x.+0.5, x->σ.(x)) final = Chain(Dense(length(skip_blocks)+1, out_dim, σ_)) append!(parts, [final]) #= Connect blocks. =# function model(x) x::Array{Float32, 3} = stack_conv1d(x) res_blocks_cnt = length(res_blocks) skip_connections = Array{Float32, 2}(zeros(1, size(x)[3])) for i::Int64=1:res_blocks_cnt x_res_block = res_blocks[i] x_max = res_connetcions_max[i] x_mean = res_connetcions_mean[i] x = Parallel(+, x_res_block, x_max, x_mean)(x, x, x) skip_connections = vcat(skip_connections, skip_blocks[i](x)) end return final(skip_connections) end return model, Flux.params( parts, res_blocks, res_lc_coefs, skip_blocks ) end # Compute MSE loss function for 'network'. loss_mse(x, y, network) = Flux.mse(network(x)', y) # Accuracy of 'network' for given treshold 't', data 'x' and targets 'y'. acc_t(x, y, t, network) = sum((network(x) .> t) .== y')/length(y) @doc """ train!(ps, network, trn::Tuple{Array{Float32, 3}, Vector{Int64}}, val::Tuple{Array{Float32, 3}, Vector{Int64}}; loss=loss_mse, acc=acc_t, threshold::Float64=0.5, iter::Int64=100) Train parametres 'ps' of the 'network' on train 'trn' dataset. """ -> function train!(ps, network, trn::Tuple{Array{Float32, 3}, Vector{Int64}}, val::Tuple{Array{Float32, 3}, Vector{Int64}}; loss=loss_mse, acc=acc_t, threshold::Float64=0.5, iter::Int64=100) X, Y = trn[1], trn[2] x, y = val[1], val[2] for i=1:iter gs = gradient(() -> loss(X, Y, network), ps) Flux.Optimise.update!(ADAM(), ps, gs) if i%10 == 0 @printf "iter: %d/%d, trn_loss: %.4f, trn_acc: %.2f; val_loss: %.4f, val_acc: %.2f\n" i iter loss(X, Y, network) acc(X, Y, threshold, network) loss(x, y, network) acc(x, y, threshold, network) @printf "trn_auc %.2f, val_auc %.2f\n\n" binary_eval_report(Y, Vector{Float64}((network(X)[1,:])))["au_roccurve"] binary_eval_report(y, Vector{Float64}((network(x)[1,:])))["au_roccurve"] end end ps end @doc """ print_conmat(ŷ::Vector{Float64}, y::Vector{Int64}, absolut_values::Bool) Print confusion matrix for predicted probabilities 'ŷ' (with treshold 0.5) and targets 'y'. """ -> function print_conmat(ŷ::Vector{Float64}, y::Vector{Int64}, absolut_values::Bool) cm = ConfusionMatrix(y, ŷ, 0.5) if absolut_values @printf " +---------------------+------------------+------------------+ | . | Actual positives | Actual negatives | +---------------------+------------------+------------------+ | Predicted positives | %12d | %12d | | Predicted negatives | %12d | %12d | +---------------------+------------------+------------------+ \n" cm.tp cm.fp cm.fn cm.tn else total = cm.p+cm.n @printf " +---------------------+------------------+------------------+ | . | Actual positives | Actual negatives | +---------------------+------------------+------------------+ | Predicted positives | %.2f | %.2f | | Predicted negatives | %.2f | %.2f | +---------------------+------------------+------------------+ \n" cm.tp/total cm.fp/total cm.fn/total cm.tn/total end end
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2.139121
2,638
# --- # title: 748. Shortest Completing Word # id: problem748 # author: Tian Jun # date: 2020-10-31 # difficulty: Easy # categories: Hash Table # link: <https://leetcode.com/problems/shortest-completing-word/description/> # hidden: true # --- # # Given a string `licensePlate` and an array of strings `words`, find the # **shortest completing** word in `words`. # # A **completing** word is a word that **contains all the letters** in # `licensePlate`. **Ignore numbers and spaces** in `licensePlate`, and treat # letters as **case insensitive**. If a letter appears more than once in # `licensePlate`, then it must appear in the word the same number of times or # more. # # For example, if `licensePlate`` = "aBc 12c"`, then it contains letters `'a'`, # `'b'` (ignoring case), and `'c'` twice. Possible **completing** words are # `"abccdef"`, `"caaacab"`, and `"cbca"`. # # Return _the shortest **completing** word in _`words` _._ It is guaranteed an # answer exists. If there are multiple shortest **completing** words, return the # **first** one that occurs in `words`. # # # # **Example 1:** # # # # Input: licensePlate = "1s3 PSt", words = ["step","steps","stripe","stepple"] # Output: "steps" # Explanation: licensePlate contains letters 's', 'p', 's' (ignoring case), and 't'. # "step" contains 't' and 'p', but only contains 1 's'. # "steps" contains 't', 'p', and both 's' characters. # "stripe" is missing an 's'. # "stepple" is missing an 's'. # Since "steps" is the only word containing all the letters, that is the answer. # # # **Example 2:** # # # # Input: licensePlate = "1s3 456", words = ["looks","pest","stew","show"] # Output: "pest" # Explanation: licensePlate only contains the letter 's'. All the words contain 's', but among these "pest", "stew", and "show" are shortest. The answer is "pest" because it is the word that appears earliest of the 3. # # # **Example 3:** # # # # Input: licensePlate = "Ah71752", words = ["suggest","letter","of","husband","easy","education","drug","prevent","writer","old"] # Output: "husband" # # # **Example 4:** # # # # Input: licensePlate = "OgEu755", words = ["enough","these","play","wide","wonder","box","arrive","money","tax","thus"] # Output: "enough" # # # **Example 5:** # # # # Input: licensePlate = "iMSlpe4", words = ["claim","consumer","student","camera","public","never","wonder","simple","thought","use"] # Output: "simple" # # # # # **Constraints:** # # * `1 <= licensePlate.length <= 7` # * `licensePlate` contains digits, letters (uppercase or lowercase), or space `' '`. # * `1 <= words.length <= 1000` # * `1 <= words[i].length <= 15` # * `words[i]` consists of lower case English letters. # # ## @lc code=start using LeetCode ## add your code here: ## @lc code=end
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filenames = ["f1.txt", "f2.txt"] for filename in filenames txt = read(filename, String) open(filename, "w") do f write(f, replace(txt, "Goodbye London!" => "Hello New York!")) end end
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export MMD, mmd, mmd2_and_variance struct MMD{K<:AbstractKernel,D<:MetricOrFun} <: PreMetric kernel::K dist::D end function (m::MMD)(x::AbstractArray, y::AbstractArray) xx = kernelsum(m.kernel, x, m.dist) yy = kernelsum(m.kernel, y, m.dist) xy = kernelsum(m.kernel, x, y, m.dist) xx + yy - 2xy end """ mmd(AbstractKernel(γ), x, y) mmd(AbstractKernel(γ), x, y, n) MMD with Gaussian kernel of bandwidth `γ` using at most `n` samples """ mmd(k::AbstractKernel, x::AbstractArray, y::AbstractArray, dist=pairwisel2) = MMD(k, dist)(x, y) mmd(k::AbstractKernel, x::AbstractArray, y::AbstractArray, n::Int, dist=pairwisel2) = mmd(k, samplecolumns(x,n), samplecolumns(y,n), dist) """ mmd2_and_variance(K_XX, K_XY, K_YY, unit_diagonal=false, biased=false) calculates the mmd and variance according to https://arxiv.org/pdf/1611.04488.pdf """ function mmd2_and_variance(K_XX, K_XY, K_YY, unit_diagonal=false, biased=false) @assert size(K_XX, 2) == size(K_XY, 2) == size(K_XX, 2) m = size(K_XX, 2) # Assumes X, Y are same shape ### Get the various sums of kernels that we'll use # Kts drop the diagonal, but we don't need to compute them explicitly diag_X = diag_Y = 1 sum_diag_X = sum_diag_Y = m sum_diag2_X = sum_diag2_Y = m if !unit_diagonal diag_X = diag(K_XX) diag_Y = diag(K_YY) sum_diag_X = sum(diag_X) sum_diag_Y = sum(diag_Y) sum_diag2_X = dot(diag_X,diag_X) sum_diag2_Y = dot(diag_Y,diag_Y) end Kt_XX_sums = sum(K_XX, dims = 1)[:] - diag_X Kt_YY_sums = sum(K_YY, dims = 1)[:] - diag_Y K_XY_sums_0 = sum(K_XY; dims = 2) K_XY_sums_1 = sum(K_XY, dims = 1)[:] Kt_XX_sum = sum(Kt_XX_sums) Kt_YY_sum = sum(Kt_YY_sums) K_XY_sum = sum(K_XY_sums_0) Kt_XX_2_sum = sum(K_XX.^2) - sum_diag2_X Kt_YY_2_sum = sum(K_YY.^2) - sum_diag2_Y K_XY_2_sum = sum(K_XY.^2) mmd2 = if biased ((Kt_XX_sum + sum_diag_X) / (m * m) + (Kt_YY_sum + sum_diag_Y) / (m * m) - 2 * K_XY_sum / (m * m)) else (Kt_XX_sum / (m * (m-1)) + Kt_YY_sum / (m * (m-1)) - 2 * K_XY_sum / (m * m)) end var_est = ( 2 / (m^2 * (m-1)^2) * ( 2 * dot(Kt_XX_sums,Kt_XX_sums) - Kt_XX_2_sum + 2 * dot(Kt_YY_sums, Kt_YY_sums) - Kt_YY_2_sum) - (4*m-6) / (m^3 * (m-1)^3) * (Kt_XX_sum^2 + Kt_YY_sum^2) + 4*(m-2) / (m^3 * (m-1)^2) * ( dot(K_XY_sums_1, K_XY_sums_1) + dot(K_XY_sums_0, K_XY_sums_0)) - 4 * (m-3) / (m^3 * (m-1)^2) * K_XY_2_sum - (8*m - 12) / (m^5 * (m-1)) * K_XY_sum^2 + 8 / (m^3 * (m-1)) * ( 1/m * (Kt_XX_sum + Kt_YY_sum) * K_XY_sum - dot(Kt_XX_sums, K_XY_sums_1) - dot(Kt_YY_sums, K_XY_sums_0)) ) (mmd2, var_est) end """ crit_mmd2_var(k, X, Y) crit_mmd2_var(k, X, Y, n) Calculates the criterion for selection of the width of the kernel based on https://arxiv.org/pdf/1611.04488.pdf using at most `n` samples. """ crit_mmd2_var(k::GaussianKernel, X, Y, n::Int, dist = pairwisel2) = crit_mmd2_var(k, samplecolumns(X, n), samplecolumns(Y, n), dist) function crit_mmd2_var(k::GaussianKernel, X, Y, dist = pairwisel2) KXX = k.(dist(X,X)) KXY = k.(dist(X,Y)) KYY = k.(dist(Y,Y)) m, v = mmd2_and_variance(KXX, KXY, KYY, true) m / sqrt(max(v, eps(Float64))) end crit_mmd2_var(k::IMQKernel, X, Y, n::Int, dist = pairwisel2) = crit_mmd2_var(k, samplecolumns(X, n), samplecolumns(Y, n), dist) function crit_mmd2_var(k::IMQKernel, X, Y, dist = pairwisel2) KXX = k.(dist(X,X)) KXY = k.(dist(X,Y)) KYY = k.(dist(Y,Y)) m, v = mmd2_and_variance(KXX, KXY, KYY, false) m / sqrt(max(v, eps(Float64))) end """ crit_mxy_over_mltpl(k, x, y) Calculates criterion for selection of the kernel width as MMD(X, Y) / SQRT(MMD(X,X) * MMD(Y, Y)) """ crit_mxy_over_mltpl(k, x, y, dist = pairwisel2) = mmd(k, x, y, dist) / sqrt(abs(mmd(k, split2(x)..., dist) * mmd(k, split2(y)..., dist))) """ crit_mxy_over_sum(k, x, y) Calculates criterion for selection of the kernel width as MMD(X, Y) / (MMD(X,X) + MMD(Y, Y)) """ crit_mxy_over_sum(k, x, y, dist = pairwisel2) = mmd(k, x, y, dist) / (abs(mmd(k, split2(x)..., dist)) + abs(mmd(k, split2(y)..., dist))) function mmdfromdist(k::AbstractKernel, d, idx, cidx) _z = eltype(d)(0) li, lc = length(idx), length(cidx) kxx = (mapsum(k, d, idx) - li*k(_z))/(li^2 - li) kyy = (mapsum(k, d, cidx) - lc*k(_z))/(lc^2 - lc) kyx = mapsum(k, d, idx, cidx)/ (lc*li) kxx + kyy -2kyx end function mapsum(f, d, idx) s = eltype(d)(0) @inbounds for j in idx, i in idx s+= f(d[i,j]) end return s end function mapsum(f, d, rowidx, colidx) s = eltype(d)(0) @inbounds for i in rowidx, j in colidx s+= f(d[i,j]) end return s end
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1.827957
2,697
# plotPose functions """ $SIGNATURES Plot pose belief as contour information on visually sensible manifolds. Example: ```julia fg = generateCanonicalFG_Hexagonal() solveTree!(fg); plotPose(fg, :x6) ``` Related [`plotSLAM2D`](@ref), [`plotSLAM2DPoses`](@ref), [`plotKDE`](@ref), `plotKDECircular` """ function plotPose(pt::Pose2, pp::Vector{BallTreeDensity}, title="plotPose2"; levels=3, c=nothing, legend=nothing, axis=nothing, scale::Real=0.2, overlay=nothing, hdl=[] ) # # ops = buildHybridManifoldCallbacks(pt.manifolds) # @show ran = getKDERange(p, addop=ops[1], diffop=ops[2]) ran = axis === nothing ? getKDERange(pp) : axis p1 = plotKDE(pp, dims=[1;2], levels=levels, c=c, axis=ran ) # p2 = plotKDE(bels, dims=[3], c=c) cc = c === nothing ? getColorsByLength(length(pp)) : c GG = BallTreeDensity[] for ppc in pp gg = marginal(ppc,[3]) # gg = (x)->pc(reshape([x], :,1))[1] push!(GG, gg) end # p2 = AMP.plotCircBeliefs(GG, c=cc) p2 = AMP.plotKDECircular(GG, scale=scale, c=cc, legend=legend, title=title) # deal with overlay push!(hdl, p1) push!(hdl, p2) Gadfly.hstack(p1,p2) end function plotPose(pt::Pose2, pp::Union{<:BallTreeDensity,<:ManifoldKernelDensity}, title="plotPose2"; levels=3, c=nothing, axis=nothing, scale::Real=0.2, overlay=nothing, hdl=[] ) # plotPose(pt, [pp;],title,levels=levels,c=c,axis=axis,scale=scale, overlay=overlay, hdl=hdl ) end function plotPose(::DynPose2, bels::Union{<:AbstractVector{<:BallTreeDensity},<:AbstractVector{<:ManifoldKernelDensity}}, title; levels::Int=5, c=nothing, axis=nothing, hdl=[], scale::Real=0.2 ) # p1 = plotKDE(bels, dims=[1;2], levels=levels, c=c, title=title) p2 = plotKDE(bels, dims=[3], c=c) p3 = plotKDE(bels, dims=[4;5], levels=levels, c=c) push!(hdl, p1) push!(hdl, p2) push!(hdl, p3) Gadfly.vstack(p1,p2,p3) end # import RoMEPlotting: plotPose function plotPose(::Pose3, bels::Union{<:AbstractVector{<:BallTreeDensity},<:AbstractVector{<:ManifoldKernelDensity}}, title; levels::Int=5, c=nothing, axis=nothing, hdl=[], scale::Real=0.2 ) # @show title p1 = plotKDE(bels, dims=[1;2], levels=levels, c=c, title=title) p2 = plotKDE(bels, dims=[3], c=c) p3 = plotKDE(bels, dims=[4;5], levels=levels, c=c) p4 = plotKDE(bels, dims=[6], c=c) push!(hdl, p1) push!(hdl, p2) push!(hdl, p3) push!(hdl, p4) Gadfly.vstack(p1,p2,p3,p4) end """ $(SIGNATURES) Example: pl = plotPose(fg, [:x1; :x2; :x3]) """ function plotPose(fgl::AbstractDFG, syms::Vector{Symbol}; solveKey::Symbol=:default, levels::Int=5, c=nothing, axis=nothing, scale::Real=0.2, show::Bool=false, filepath::AbstractString="/tmp/tempposeplot.svg", app::AbstractString="eog", hdl=[] ) # typ = getSolverData(getVariable(fgl, syms[1]), solveKey).softtype pt = string(string.(syms)...) getvertsgg = (sym) -> getKDE(getVariable(fgl, sym), solveKey) pl = plotPose(typ, getvertsgg.(syms), pt, levels=levels, c=c, axis=axis, scale=scale, hdl=hdl ) if length(filepath) > 0 ext = split(filepath, '.')[end] cmd = getfield(Gadfly,Symbol(uppercase(ext))) h = 1*7Gadfly.cm if typ == DynPose2 h *= 1.5 end Gadfly.draw(cmd(filepath,15Gadfly.cm,h),pl) @async !show ? nothing : run(`$app $filepath`) end return pl end function plotPose(fgl::AbstractDFG, sym::Symbol; levels::Int=5, c=nothing, axis=nothing, scale::Real=0.2, show::Bool=false, filepath::AbstractString="/tmp/tempposeplot.svg", app::AbstractString="eog", hdl=[] ) # plotPose(fgl, [sym;], levels=levels, axis=axis, show=show, filepath=filepath, app=app, hdl=hdl ) end
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1.81672
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module test_h3_api_unidirectional_edges using Test using H3.API # h3IndexesAreNeighbors getH3UnidirectionalEdge h3UnidirectionalEdgeIsValid getOriginH3IndexFromUnidirectionalEdge getDestinationH3IndexFromUnidirectionalEdge getH3IndexesFromUnidirectionalEdge getH3UnidirectionalEdgesFromHexagon getH3UnidirectionalEdgeBoundary ≈ sfGeo = GeoCoord(0.659966917655, -2.1364398519396) sf = geoToH3(sfGeo, 9) ring = hexRing(sf, 1) @test ring == [0x089283080ddbffff, 0x089283080c37ffff, 0x089283080c27ffff, 0x089283080d53ffff, 0x089283080dcfffff, 0x089283080dc3ffff] @test !h3IndexesAreNeighbors(sf, sf) sf2 = ring[1] edge = getH3UnidirectionalEdge(sf, sf2) @test edge == 0x149283080dcbffff @test h3UnidirectionalEdgeIsValid(edge) @test sf == getOriginH3IndexFromUnidirectionalEdge(edge) @test sf2 == getDestinationH3IndexFromUnidirectionalEdge(edge) originDestination = getH3IndexesFromUnidirectionalEdge(edge) @test originDestination == (0x089283080dcbffff, 0x089283080ddbffff) edges = getH3UnidirectionalEdgesFromHexagon(sf) @test edges == [0x119283080dcbffff, 0x129283080dcbffff, 0x139283080dcbffff, 0x149283080dcbffff, 0x159283080dcbffff, 0x169283080dcbffff] edgeBoundary = getH3UnidirectionalEdgeBoundary(edges[1]) @test edgeBoundary ≈ [GeoCoord(0.6600077078134922, -2.1364818365456384), GeoCoord(0.6599783466210994, -2.136500544207272)] end # module test_h3_api_unidirectional_edges
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using Squeezing using Compat.Test @testset "squeezing sum" begin @test @inferred @squeezing(sum(ones(3, 2), 1)) == [3.0, 3.0] end @testset "squeezing reducedim" begin A = reshape(Vector(1:16), (4,4)) @test @inferred @squeezing(reducedim(max, A, 1)) == collect(4:4:16) @test @inferred @squeezing(reducedim(max, A, 2)) == collect(13:16) end
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export GlobalToLocal, getGlobalToLocal export interpLocalToGlobal, interpGlobalToLocal export prepareGlobalToLocal """ mutable struct jInv.InverseSolve.GlobalToLocal Maps global model to local model sigLocal = PForInv*sigGlobal + sigmaBackground Fields: PForInv::SparseMatrixCSC - linear operator between inverse mesh and forward mesh, e.g., linear interpolation matrix and projection on active set. sigmaBackground::Vector - background model Constructors: getGlobalToLocal(P::SparseMatrixCSC) getGlobalToLocal(P::SparseMatrixCSC,sigmaBack::Vector) Example: Mesh2Mesh = getInterpolationMatrix(Minv,Mfwd) # Minv and Mfwd have different resolutions sigmaBack = 1.2*ones(Minv.nc) # put background conductivity gloc = getGlobalToLocal(Mesh2Mesh,sigmaBack) sigLocal = gloc.PForInv\' * sigGlobal + gloc.sigmaBack # this call is equivalent, but needed in case the Mesh2Mesh matrix is compressed sigLocalFast = interpGlobalToLocal(sigGlobal,gloc.PForInv,gloc.sigmaBack) """ struct GlobalToLocal PForInv::Union{SparseMatrixCSC,AbstractFloat,AbstractModelTransform} # interpolation matrix from fwd mesh to inv mesh sigmaBackground::Union{Vector{Float64},AbstractFloat,AbstractModel} # (# of cells fwd mesh) end # mutable struct GlobalToLocal # Constructors getGlobalToLocal(P) = GlobalToLocal(P,1e-8) getGlobalToLocal(P,sigBack) = GlobalToLocal(P,sigBack) getGlobalToLocal(P,sigBack,fname) = GlobalToLocal(P,sigBack) function prepareGlobalToLocal(Mesh2Mesh,Iact,sigmaBackground,fname) return getGlobalToLocal(Iact'*Mesh2Mesh,interpGlobalToLocal(sigmaBackground,Mesh2Mesh),fname) end
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###### beam splitter and special counter example matrices ###### function beam_splitter(transmission_amplitude = sqrt(0.5)) """2d beam_splitter matrix, follows the conventions of Leonardo""" # |t|^2 is the "transmission probability" t = transmission_amplitude r = sqrt(1-t^2) bs = [[t -r]; [r t]] end function beam_splitter_modes(;in_up, in_down, out_up, out_down, transmission_amplitude, n) """beam splitter incorrporated for connecting specific input modes, output modes in a dimension n interferometer""" if in_up == in_down || out_up == out_down throw(ArgumentError()) end bs = Matrix{ComplexF64}(I, n, n) sub_bs = beam_splitter(transmission_amplitude) bs[in_up, out_up] = sub_bs[1,1] bs[in_down, out_down] = sub_bs[2,2] bs[in_down, out_up] = sub_bs[2,1] bs[in_up, out_down] = sub_bs[1,2] # # # before convention checks: # bs[in_down, out_up] = sub_bs[1,2] ####### this change is a bit ad hoc and needs to be checked carefully with the conventions # bs[in_up, out_down] = sub_bs[2,1] # bs end function rotation_matrix(angle::Float64) [cos(angle) -sin(angle); sin(angle) coss(angle)] end function rotation_matrix_modes(;in_up, in_dow, out_up, out_down, angle, n) """beam splitter incorrporated for connecting specific input modes, output modes in a dimension n interferometer""" if in_up == in_down || out_up == out_down throw(ArgumentError()) end r = Matrix{ComplexF64}(I, n, n) sub_r = rotation_matrix(angle) r[in_up, out_up] = sub_r[1,1] r[in_down, out_down] = sub_r[2,2] # bs[in_down, out_up] = sub_bs[2,1] # bs[in_up, out_down] = sub_bs[1,2] r[in_down, out_up] = sub_r[1,2] ####### this change is a bit ad hoc and needs to be checked carefully with the conventions r[in_up, out_down] = sub_r[2,1] r end function phase_shift(shifted_modes::Array, param_::Array) U = zeros(length(shifted_modes), length(shifted_modes)) for i in length(shifted_modes) for j in length(shifted_modes) i == j && i in shifted_modes ? U[i,j] = exp(1im * param_[i]) : continue end end U end # function build_circuit(mode_occ::ModeOccupation, circuit_elements::Vector{Vector{T}}, layers::Vector) where T <: Interferometer # # m = mode_occ.m # id = Matrix{ComplexF64}(LinearAlgebra.I, m, m) # res = id # # for i in 1:length(circuit_elements) # u = id # for j in 1:length(circuit_elements[i]) # U = circuit_elements[i][j].U # u[layers[i][j], layers[i][j]] = U # end # # res *= u # end # # res # end # # mode_occ = first_modes(3,5) # # m = mode_occ.m # # b1 = BeamSplitter(1/sqrt(6)) # # is_unitary(b1.U) # # U1 = RandHaar(1) # # is_unitary(U1.U) # # b2 = BeamSplitter(1/sqrt(2)) # # is_unitary(b2.U) # # U2 = RandHaar(1) # # is_unitary(U2.U) # # circuit_elem = [[b1,U1],[b2,U2]] # # v_ = [[[1,2],[3]], [[1,3],[2]]] # # res = build_circuit(mode_occ, circuit_elem, v_) # # is_unitary(res) # # res * conj(transpose(res)) #
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using Agents mutable struct SchellingAgent <: AbstractAgent id::Int # The identifier number of the agent pos::Tuple{Int,Int} # The x, y location of the agent mood::Bool # whether the agent is happy in its node. (true = happy) group::Int # The group of the agent, # determines mood as it interacts with neighbors end space = Space((10,10), moore = true) properties = Dict(:min_to_be_happy => 3) schelling = ABM(SchellingAgent, space; properties = properties) function initialize(;numagents=320, griddims=(20, 20), min_to_be_happy=3) space = Space(griddims, moore = true) # make a Moore grid properties = Dict(:min_to_be_happy => 3) model = ABM(SchellingAgent, space; properties=properties, scheduler = random_activation) # populate the model with agents, adding equal amount of the two types of agents # at random positions in the model for n in 1:numagents agent = SchellingAgent(n, (1,1), false, n < numagents/2 ? 1 : 2) add_agent_single!(agent, model) end return model end function agent_step!(agent, model) agent.mood == true && return # do nothing if already happy minhappy = model.properties[:min_to_be_happy] neighbor_cells = node_neighbors(agent, model) count_neighbors_same_group = 0 # For each neighbor, get group and compare to current agent's group # and increment count_neighbors_same_group as appropriately. for neighbor_cell in neighbor_cells node_contents = get_node_contents(neighbor_cell, model) # Skip iteration if the node is empty. length(node_contents) == 0 && continue # Otherwise, get the first agent in the node... agent_id = node_contents[1] # ...and increment count_neighbors_same_group if the neighbor's group is # the same. neighbor_agent_group = model.agents[agent_id].group if neighbor_agent_group == agent.group count_neighbors_same_group += 1 end end # After counting the neighbors, decide whether or not to move the agent. # If count_neighbors_same_group is at least the min_to_be_happy, set the # mood to true. Otherwise, move the agent to a random node. if count_neighbors_same_group ≥ minhappy agent.mood = true else move_agent_single!(agent, model) end return end # initialize the model with 370 agents on a 20 by 20 grid. model = initialize() step!(model, agent_step!) # run the model one step step!(model, agent_step!, 3) # run the model 3 steps. model = initialize() # An array of Symbols for the agent fields that are to be collected. properties = [:pos, :mood, :group] # Specifies at which steps data should be collected. n = 5 # number of time steps to run the simulation when = 1:n # At which steps to collect data # Use the step function to run the model and collect data into a DataFrame. data = step!(model, agent_step!, n, properties, when=when) data[1:10, :] # print only a few rows model = initialize(numagents=370, griddims=(20,20), min_to_be_happy=3); properties = Dict(:mood => [sum]) n = 5; when = 1:n data = step!(model, agent_step!, 5, properties, when=when) # AGAIN model = initialize() # An array of Symbols for the agent fields that are to be collected. properties = [:pos, :mood, :group] # Specifies at which steps data should be collected. n = 5 # number of time steps to run the simulation when = 1:n # At which steps to collect data # Use the step function to run the model and collect data into a DataFrame. data = step!(model, agent_step!, n, properties, when=when) data[1:10, :] # print only a few rows # Use the plot2D function from AgentsPlots.jl to plot distribution of agents at any step. using AgentsPlots #p = plot2D(data, :group, t=1, nodesize=10) #p = plot2D(data, :group, t=2, nodesize=10) for i in 1:2 p = plot2D(data, :group, t=i, nodesize=10) end using DataVoyager v = Voyager(data) model = initialize(numagents=370, griddims=(20,20), min_to_be_happy=3); data = step!(model, agent_step!, 5, properties, when=when, replicates=5) using Distributed addprocs(2) data = step!(model, agent_step!, 2, properties, when=when, replicates=5, parallel=true) paramscan happyperc(moods) = count(x -> x == true, moods)/length(moods) properties= Dict(:mood=>[happyperc]) parameters = Dict(:min_to_be_happy=>collect(2:5), :numagents=>[200,300], :griddims=>(20,20)) data = paramscan(parameters, initialize; properties=properties, n = 3, agent_step! = agent_step!) data = paramscan(parameters, initialize; properties=properties, n = 3, agent_step! = agent_step!, replicates=3) using DataFrames: Not, select! using Statistics: mean data_mean = Agents.aggregate(data, [:step, :min_to_be_happy, :numagents], mean); select!(data_mean, Not(:replicate_mean))
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### A Pluto.jl notebook ### # v0.15.1 using Markdown using InteractiveUtils # ╔═╡ 4210f3a2-f61c-11eb-322f-c388a2ebc1ad begin using Pkg include(joinpath(Pkg.devdir(), "MLCourse", "src", "notebooks.jl")) list_notebooks(@__FILE__, "notebooks") end # ╔═╡ bd586b9b-2701-42ce-a56c-bdadf2576212 md"# Welcome! On the following pages you find interactive animations, code examples (in the [Julia programming language](https://www.julialang.org)) and conceptual and applied exercises to learn more about machine learning. " # ╔═╡ 4744c137-8183-49a4-9a4a-4d86b96ae280 Markdown.parse( (haskey(ENV, "html_export") && ENV["html_export"] == "true") ? "!!! note To change the code in the notebooks used to generate these pages go to [https://github.com/jbrea/MLCourse](https://github.com/jbrea/MLCourse) and follow the instructions. " : " Loading these pages takes quite a moment, because each page consists of cells with code that is evaluated when you load the page or change its content (you can see on the left border of a cell whether it is still computing or not). Once the pages are loaded, changing some cells updates all the rest of the notebook rather quickly. " * (isfile(joinpath(Pkg.devdir(), "MLCourse", "precompile", "mlcourse.so")) ? "" : "Hint: A custom system image can improve the initial loading times. Create one in the julia REPL with `MLCourse.create_sysimage()`.") ) # ╔═╡ 97134307-c909-4010-a0a9-72bf632182bf footer() # ╔═╡ 00000000-0000-0000-0000-000000000001 PLUTO_PROJECT_TOML_CONTENTS = """ [deps] Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" """ # ╔═╡ 00000000-0000-0000-0000-000000000002 PLUTO_MANIFEST_TOML_CONTENTS = """ # This file is machine-generated - editing it directly is not advised [[ArgTools]] uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f" [[Artifacts]] uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33" [[Base64]] uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" [[Dates]] deps = ["Printf"] uuid = "ade2ca70-3891-5945-98fb-dc099432e06a" [[Downloads]] deps = ["ArgTools", "LibCURL", "NetworkOptions"] uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6" [[InteractiveUtils]] deps = ["Markdown"] uuid = "b77e0a4c-d291-57a0-90e8-8db25a27a240" [[LibCURL]] deps = ["LibCURL_jll", "MozillaCACerts_jll"] uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21" [[LibCURL_jll]] deps = ["Artifacts", "LibSSH2_jll", "Libdl", "MbedTLS_jll", "Zlib_jll", "nghttp2_jll"] uuid = "deac9b47-8bc7-5906-a0fe-35ac56dc84c0" [[LibGit2]] deps = ["Base64", "NetworkOptions", "Printf", "SHA"] uuid = "76f85450-5226-5b5a-8eaa-529ad045b433" [[LibSSH2_jll]] deps = ["Artifacts", "Libdl", "MbedTLS_jll"] uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8" [[Libdl]] uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb" [[Logging]] uuid = "56ddb016-857b-54e1-b83d-db4d58db5568" [[Markdown]] deps = ["Base64"] uuid = "d6f4376e-aef5-505a-96c1-9c027394607a" [[MbedTLS_jll]] deps = ["Artifacts", "Libdl"] uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" [[MozillaCACerts_jll]] uuid = "14a3606d-f60d-562e-9121-12d972cd8159" [[NetworkOptions]] uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908" [[Pkg]] deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"] uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" [[Printf]] deps = ["Unicode"] uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7" [[REPL]] deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"] uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb" [[Random]] deps = ["Serialization"] uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" [[SHA]] uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce" [[Serialization]] uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b" [[Sockets]] uuid = "6462fe0b-24de-5631-8697-dd941f90decc" [[TOML]] deps = ["Dates"] uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76" [[Tar]] deps = ["ArgTools", "SHA"] uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e" [[UUIDs]] deps = ["Random", "SHA"] uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4" [[Unicode]] uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5" [[Zlib_jll]] deps = ["Libdl"] uuid = "83775a58-1f1d-513f-b197-d71354ab007a" [[nghttp2_jll]] deps = ["Artifacts", "Libdl"] uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d" [[p7zip_jll]] deps = ["Artifacts", "Libdl"] uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" """ # ╔═╡ Cell order: # ╟─bd586b9b-2701-42ce-a56c-bdadf2576212 # ╟─4744c137-8183-49a4-9a4a-4d86b96ae280 # ╟─4210f3a2-f61c-11eb-322f-c388a2ebc1ad # ╟─97134307-c909-4010-a0a9-72bf632182bf # ╟─00000000-0000-0000-0000-000000000001 # ╟─00000000-0000-0000-0000-000000000002
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2.025539
2,271
########################################################################### # Slice sampler (SliceSampler) # # References: # - Neal R.M. Slice Sampling. The Annals of Statistics, 2003, 31 (3), pp 705–1031 # - MacKay model.size. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003, section 29.7, # pp 374-378 # # A slice sampler is an adaptive step-size MCMC algorithm for continuous random variables, which only requires an # unnormalized density function as input. It is a convenient alternative to Metropolis because it often gives good # results with very little tuning, and works in the case that different parts of the distribution require different # step sizes. However, if the distribution's widths don't vary too much, and there's a good initialization and # proposal, Metropolis may be more efficient. This slice sampler is univariate; for a multivariate problem it just # updates variables one at a time. Thus it suffers when variables are correlated. # # Parameters : # - widths: Step sizes for initially expanding the slice (model.size-dim vector). # - stepout: Protects against the case of passing in small widths. # # This is a port of Iain Murray's implementation, who kindly accepted to share his code at # http://homepages.inf.ed.ac.uk/imurray2/teaching/09mlss/slice_sampler.m # ########################################################################### export SliceSampler println("Loading SliceSampler(widths, stepout)") ########################################################################### # SliceSampler type ########################################################################### immutable SliceSampler <: MCMCSampler widths::Union(Vector{Float64}, Nothing) stepout::Bool function SliceSampler(widths::Union(Vector{Float64}, Nothing), stepout::Bool) # @assert x > 0 "widths should be > 0" new(widths, stepout) end end SliceSampler() = SliceSampler(nothing, true) SliceSampler(widths::Union(Vector{Float64}, Nothing)) = SliceSampler(widths, true) SliceSampler(stepout::Bool) = SliceSampler(nothing, stepout) SliceSampler(; widths::Union(Vector{Float64}, Nothing)=nothing, stepout::Bool=true) = SliceSampler(widths, stepout) ########################################################################### # SliceSampler task ########################################################################### # SliceSampler sampling function SamplerTask(model::MCMCModel, sampler::SliceSampler, runner::MCMCRunner) local state::Vector{Float64}, x_l::Vector{Float64}, x_r::Vector{Float64}, xprime::Vector{Float64} local logTarget::Float64, log_uprime::Float64, r::Float64 local widths::Vector{Float64} if sampler.widths == nothing widths = ones(model.size) else @assert length(sampler.widths)==model.size "Length of step sizes in widths must be equal to model size" widths = sampler.widths end state = copy(model.init) logTarget = model.eval(state) i = 1 while true for dd = 1:model.size log_uprime = log(rand()) + logTarget x_l = copy(state) x_r = copy(state) xprime = copy(state) # Create a horizontal interval (x_l, x_r) enclosing xx r = rand() x_l[dd] = state[dd] - r*widths[dd] x_r[dd] = state[dd] + (1-r)*widths[dd] if sampler.stepout while model.eval(x_l) > log_uprime x_l[dd] -= widths[dd] end while model.eval(x_r) > log_uprime x_r[dd] += widths[dd] end end # Inner loop: propose xprimes and shrink interval until good one is found while true xprime[dd] = rand() * (x_r[dd] - x_l[dd]) + x_l[dd]; logTarget = model.eval(xprime) if logTarget > log_uprime break else if (xprime[dd] > state[dd]) x_r[dd] = xprime[dd]; elseif (xprime[dd] < state[dd]) x_l[dd] = xprime[dd]; else @assert false "BUG, shrunk to current position and still not acceptable"; end end end state[dd] = xprime[dd] end ms = MCMCSample(state, logTarget, fill(NaN, model.size), NaN) produce(ms) i += 1 end end
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2.801185
1,519
using JuLIP, NBodyIPs, LinearAlgebra path = homedir() * "/Dropbox/PIBmat/Ti_DFTB_Data/Ti_N54_vartemp.xyz" # Loading the training data data = NBodyIPs.Data.read(path) data_sm = data[1:10] println("generating basis functions...") r0 = rnn(:W) rcuts = [5.2, 5.2, 4.5] # 2-body, 3-body, 4-body degrees = [10, 8, 6] TRANSFORM = "@analytic r -> ($r0/r)^3" # generate everything else CUTOFFS = ["(:cos, $(0.66*rcut), $rcut)" for rcut in rcuts] dicts = Dictionary.(TRANSFORM, CUTOFFS) B = vcat(NBody(1.0), gen_basis.([2,3,4], dicts, degrees, purify=false)...) @show length(B) B3 = B[ findall(bodyorder.(B) .< 4) ] # normalize_basis!(B3, data_sm) Φ, _, _ = NBodyIPs.assemble_lsq(B, data_sm; verbose=true, nforces=10) Q, R = qr(Φ) A = R' * R @show norm(A - Φ'*Φ, Inf) display(A[1:13,1:13]) idx = 12 # this should be a 2-body idx = 20 # this should be a pure 3-body interesting_b = B3[idx] # TODO how do we figure out that this is almost in the 2-body set # Φ[:,idx] almost in the span of Φ[:, 1:11] Φ2 = Φ[:,1:11] Q2, R2 = qr(Φ2) for idx = 12:length(B3) c = Q2' * Φ[:,idx] err = Q2 * c - Φ[:,idx] @show B3[idx].t @show norm(err, Inf) / norm(Φ[:,idx], Inf) end # # [3] do the regression and construct and IP # c = regression(B, train_data, nforces = Inf, stab = 0.0) # @show norm(c, Inf) # IP = NBodyIP(B, c) # # check error => the normalisation is w.r.t. natoms, not a genuine # # relative error; we can discuss # rE, rF, mE, mF = fiterrors(IP, test_data) # println(" E-rms, E-mae on testset = ", rE, ", ", mE) # println(" F-rms, F-mae on testset = ", rF, ", ", mF) # # # [4] save the IP # NBodyIPs.IO.write(@__DIR__() * "/ip.jld", IP)
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function test_meta(detector_type::Type{<:OD.Detector}) @testset "$detector_type @meta" begin @testset "the detector `metadata_pkg` is defined" begin @test MLJ.package_name(detector_type) != "unknown" @test MLJ.package_uuid(detector_type) != "unknown" @test MLJ.package_url(detector_type) != "unknown" end @testset "the detector `load_path` is defined on the module top-level" begin @test MLJ.load_path(detector_type) == "$detector_type" end end end
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""" NoneSelector() Assign all dates to the validation set, select no holdout dates. """ struct NoneSelector <: DateSelector end Iterators.partition(dates::StepRange{Date, Day}, ::NoneSelector) = _getdatesets(dates, Date[])
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""" WeightedPoint3 An object of the type [`WeightedPoint3`](@ref) is a tuple of a three-dimensional point and a scalar weight. See also: [`Point3`](@ref) """ WeightedPoint3 """ WeightedPoint3(::Origin = ORIGIN) Introduces a weighted point with Cartesian coordinates `(0, 0, 0)` and weight `0`. """ WeightedPoint3(::Origin = ORIGIN) """ WeightedPoint3(p::Point3) Introduces a weighted point from point `p` and weight `0`. """ WeightedPoint3(p::Point3) """ WeightedPoint3(p::Point3, w::Real) Introduces a weighted point from point `p` and weight `w`. """ WeightedPoint3(p::Point3, w::Real) WeightedPoint3(p, w::Real) = WeightedPoint3(p, convert(FT, w)) """ WeightedPoint3(x::Real, y::Real) Introduces a weighted point with coordinates `x`, `y`, and weight `0`. """ WeightedPoint3(x::Real, y::Real) = WeightedPoint3(convert(FT, x), convert(FT, y)) """ point(p::WeightedPoint3) Returns the point of the weighted point. """ point(p::WeightedPoint3) """ weight(p::WeightedPoint3) Returns the weight of the weighted point. """ weight(p::WeightedPoint3) """ ==(p::WeightedPoint3, q::WeightedPoint3) Test for equality. Two points are equal, iff their ``x``, ``y`` and ``z`` coordinates are equal. The point can be compared with [`ORIGIN`](@ref). !!! warn "Warning" Comparison and equality (==, <, etc.) currently operate directly on the underlying bare point. Consequently: ```julia-repl julia> p = Point3(1.0, 2.0) PointC2(1, 2) julia> wp, wq = WeightedPoint3.((p, p), (1.0, 2.0)) # same bare point here, (Weighted_pointC2(1, 2, 1), Weighted_pointC2(1, 2, 2)) # but different weights julia> wp == wq true ``` """ ==(p::WeightedPoint3, q::WeightedPoint3) """ hx(p::WeightedPoint3) Returns the homogeneous ``x`` coordinate. """ hx(p::WeightedPoint3) """ hy(p::WeightedPoint3) Returns the homogeneous ``y`` coordinate. """ hy(p::WeightedPoint3) """ hz(p::WeightedPoint3) Returns the homogeneous ``z`` coordinate. """ hz(p::WeightedPoint3) """ hw(p::WeightedPoint3) Returns the homogenizing coordinate. """ hw(p::WeightedPoint3) """ x(p::WeightedPoint3) Returns the Cartesian ``x`` coordinate, that is [`hx()`](@ref)/[`hw()`](@ref). """ x(p::WeightedPoint3) """ y(p::WeightedPoint3) Returns the Cartesian ``y`` coordinate, that is [`hy()`](@ref)/[`hw()`](@ref). """ y(p::WeightedPoint3) """ z(p::WeightedPoint3) Returns the Cartesian ``z`` coordinate, that is [`hz()`](@ref)/[`hw()`](@ref). """ z(p::WeightedPoint3) @doc raw""" homogeneous(p::WeightedPoint3, i::Integer) Returns the `i`ᵗʰ homogeneous coordinate of `p`. !!! info "Precondition" ``0 ≤ i ≤ 2``. """ homogeneous(p::WeightedPoint3, i::Integer) @doc raw""" cartesian(p::WeightedPoint3, i::Integer) Returns the `i`ᵗʰ Cartesian coordinate of `p`. !!! info "Precondition" ``0 ≤ i ≤ 1``. """ cartesian(p::WeightedPoint3, i::Integer) """ dimension(p::WeightedPoint3) Returns the dimension (the constant 2). """ dimension(p::WeightedPoint3) """ bbox(p::WeightedPoint3) Returns a bounding box containing `p`. """ bbox(p::WeightedPoint3) """ transform(p::WeightedPoint3, t::AffTransformation3) Returns the weighted point obtained by applying `t` on `p`. """ transform(p::WeightedPoint3, t::AffTransformation3)
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2.557088
1,305
import NaiveNASflux import NaiveNASflux: AbstractMutableComp, MutableLayer, LazyMutable, weights, bias, select, layer, mutate, hiddenweights, hiddenstate, state, outscale import Flux: mapchildren @testset "Mutable computation" begin @testset "Dense MutableLayer" begin m = MutableLayer(Dense(2,3)) @test nin(m) == nin(m.layer) == 2 @test nout(m) == nout(m.layer) == 3 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 @test m([1.0, 2.0]) == m.layer([1.0, 2.0]) m.layer = Dense(3,4) bias(m.layer)[1:end] = 1:4 @test nin(m) == nin(m.layer) == 3 @test nout(m) == nout(m.layer) == 4 @test m([1.0, 2.0, 3.0]) == m.layer([1.0, 2.0, 3.0]) inds = [1,3] Wexp, bexp = weights(m.layer)[:, inds], bias(m.layer) mutate_inputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [1,2,4] Wexp, bexp = weights(m.layer)[inds, :], bias(m.layer)[inds] mutate_outputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [1,-1, 2] Wexp = hcat(weights(m.layer)[:, 1], zeros(Float32, 3), weights(m.layer)[:, 2]) mutate_inputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [-1, 1, -1, 3, -1] Wexp = permutedims(hcat(zeros(Float32, 3), weights(m.layer)[1, :], zeros(Float32, 3), weights(m.layer)[3, :], zeros(Float32,3))) bexp = Float32[0, bias(m.layer)[1], 0, bias(m.layer)[3], 0] mutate_outputs(m, inds) assertlayer(m.layer, Wexp, bexp) end @testset "Convolutional layers" begin @testset "Conv MutableLayer" begin m = MutableLayer(Conv((2,3),(4=>5))) @test nin(m) == nin(m.layer) == 4 @test nout(m) == nout(m.layer) == 5 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 input = reshape(collect(Float32, 1:3*4*4), 3, 4, 4, 1) @test m(input) == m.layer(input) inds = [1,3] Wexp, bexp = weights(m.layer)[:,:,inds,:], bias(m.layer) mutate_inputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [1,2,4] Wexp, bexp = weights(m.layer)[:,:,:,inds], bias(m.layer)[inds] mutate_outputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [1,-1, 2] wsize = deleteat!(collect(size(weights(m.layer))), 3) # Nothing beats working in four dimensions... # Stack 3D arrays in a 4:th dimension and then swap dim 3 and 4 Wexp = permutedims(cat( weights(m.layer)[:,:,1,:], zeros(Float32, wsize...), weights(m.layer)[:,:,2,:], dims=4), [1,2,4,3]) mutate_inputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [-1, 1, -1, 3, -1] wsize = deleteat!(collect(size(weights(m.layer))), 4) Wexp = cat( zeros(Float32, wsize...), weights(m.layer)[:,:,:,1], zeros(Float32, wsize...), weights(m.layer)[:,:,:,3], zeros(Float32,wsize...), dims=4) bexp = Float32[0, bias(m.layer)[1], 0, bias(m.layer)[3], 0] mutate_outputs(m, inds) assertlayer(m.layer, Wexp, bexp) end @testset "ConvTranspose MutableLayer" begin m = MutableLayer(ConvTranspose((2,3),(4=>5))) @test nin(m) == nin(m.layer) == 4 @test nout(m) == nout(m.layer) == 5 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 input = reshape(collect(Float32, 1:3*4*4), 3, 4, 4, 1) @test m(input) == m.layer(input) inputs = [1,3] outputs = [1,2,4] Wexp, bexp = weights(m.layer)[:,:,outputs,inputs], bias(m.layer)[outputs] mutate(m, inputs=inputs, outputs=outputs) assertlayer(m.layer, Wexp, bexp) end @testset "DepthwiseConv MutableLayer" begin m = MutableLayer(DepthwiseConv((2,2),(3=>6*3))) @test nin(m) == nin(m.layer) == 3 @test nout(m) == nout(m.layer) == 18 input = reshape(collect(Float32, 1:3*3*3), 3, 3, 3, 1) @test m(input) == m.layer(input) ins = [1, 3] wouts = [1, 2, 5, 6] outs = mapfoldl(i -> 2 * i .+ [-1, -0] ,vcat, wouts) Wexp, bexp = weights(m.layer)[:,:,wouts,ins], bias(m.layer)[outs] mutate(m, inputs=ins, outputs=outs) assertlayer(m.layer, Wexp, bexp) @test size(m(ones(Float32, 3,3,2,2)))[3:4] == (8, 2) ins = [1, 2, -1] outs = [1, 2, -1, -1, -1, -1, 3, 4, -1, -1, -1, -1] mutate(m, inputs=ins, outputs=outs) @test nin(m) == 3 @test nout(m) == 12 @test size(m(ones(Float32, 3,3,3,2)))[3:4] == (12, 2) end @testset "CrossCor MutableLayer" begin m = MutableLayer(CrossCor((2,3),(4=>5))) @test nin(m) == nin(m.layer) == 4 @test nout(m) == nout(m.layer) == 5 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 input = reshape(collect(Float32, 1:3*4*4), 3, 4, 4, 1) @test m(input) == m.layer(input) inputs = [1,3] outputs = [1,2,4] Wexp, bexp = weights(m.layer)[:,:,inputs, outputs], bias(m.layer)[outputs] mutate(m, inputs=inputs, outputs=outputs) assertlayer(m.layer, Wexp, bexp) end end @testset "Diagonal MutableLayer" begin m = MutableLayer(Flux.Diagonal(4)) @test nin(m) == nin(m.layer) == nout(m) == nout(m.layer) == 4 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 weights(m.layer)[1:end] = 1:4 bias(m.layer)[1:end] = 1:4 @test m(Float32[1,2,3,4]) == m.layer(Float32[1,2,3,4]) inds = [1,3] Wexp, bexp = weights(m.layer)[inds], bias(m.layer)[inds] mutate_inputs(m, inds) assertlayer(m.layer, Wexp, bexp) inds = [-1, 2, -1] Wexp, bexp = Float32[0, weights(m.layer)[2], 0], Float32[0, bias(m.layer)[2], 0] mutate_outputs(m, inds) assertlayer(m.layer, Wexp, bexp) end @testset "Normalization layers" begin @testset "LayerNorm MutableLayer" begin m = MutableLayer(LayerNorm(3)) @test nin(m) == nin(m.layer) == nout(m) == nout(m.layer) == 3 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 weights(m.layer.diag)[1:end] = 1:3 bias(m.layer.diag)[1:end] = 1:3 @test m(Float32[1,2,3]) == m.layer(Float32[1,2,3]) inds = [1,3] Wexp, bexp = weights(m.layer.diag)[inds], bias(m.layer.diag)[inds] mutate_inputs(m, inds) @test typeof(layer(m)) <: LayerNorm assertlayer(m.layer.diag, Wexp, bexp) inds = [-1, 2, -1] Wexp, bexp = Float32[0, weights(m.layer.diag)[2], 0], Float32[0, bias(m.layer.diag)[2], 0] mutate_outputs(m, inds) @test typeof(layer(m)) <: LayerNorm assertlayer(m.layer.diag, Wexp, bexp) end array(arr) = arr array(arr::TrackedArray) = arr.data setpar(::Any, x) = x setpar(::TrackedArray, x) = param(x) function assertnorm(l, meanexp, varexp) @test l.β.data == meanexp @test l.γ.data == varexp @test l.μ == meanexp @test l.σ² == varexp end @testset "$l MutableLayer" for l in (BatchNorm, InstanceNorm, n -> GroupNorm(n,n)) m = MutableLayer(l(5)) l_orig = layer(m) @test nin(m) == nin(m.layer) == nout(m) == nout(m.layer) == 5 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 m.layer = mapchildren(par -> setpar(par, collect(Float32, 1:5)), layer(m)) inds = [1,3,4] expall = Float32.(inds) mutate_inputs(m, inds) assertnorm(m.layer, inds, inds) mutate_outputs(m, [-1, 2, -1]) assertnorm(m.layer, [0, 3, 0], [1, 3, 1]) end @testset "GroupNorm MutableLayer with groups" begin #Test with groups of 2 m = MutableLayer(GroupNorm(6,3)) m.layer = mapchildren(par -> setpar(par, collect(Float32, 1:length(par))), layer(m)) mutate_inputs(m, [1,2,5,6]) @test layer(m).μ == [1, 3] @test layer(m).σ² == [1, 3] # Now when dimensions don't add up: size 8 becomes size 9 m = MutableLayer(GroupNorm(8,4)) mutate_inputs(m, [1,3,-1,-1,4,-1,7,-1,8]) # Current alg for selecting which group to pick in this case is poor, don't wanna test it :) @test length(layer(m).μ) == 3 @test length(layer(m).σ²) == 3 end end @testset "Recurrent layers" begin function assertrecurrent(l, Wiexp, Whexp, bexp, hexp, sexp) assertlayer(l, Wiexp, bexp) @test hiddenweights(l) == Whexp @test hiddenstate(l) == hexp @test state(l) == sexp end function setparsrnn(l) bias(l)[1:end] = collect(Float32, 1:nout(l)*outscale(l)) hiddenstate(l)[1:end] = collect(Float32, 1:nout(l)) state(l)[1:end] = collect(Float32, 1:nout(l)) end function setparslstm(l) bias(l)[1:end] = collect(Float32, 1:nout(l)*outscale(l)) foreach(h -> h[1:end] = collect(Float32, 1:nout(l)), hiddenstate(l)) foreach(h -> h[1:end] = collect(Float32, 1:nout(l)), state(l)) end @testset "RNN MutableLayer" begin m = MutableLayer(RNN(3, 4)) setparsrnn(layer(m)) @test nin(m) == nin(m.layer) == 3 @test nout(m) == nout(m.layer) == 4 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 inds = [1, 3] Wiexp = weights(layer(m))[:, inds] Whexp = copy(hiddenweights(layer(m))) bexp = copy(bias(layer(m))) hexp = copy(hiddenstate(layer(m))) sexp = copy(state(layer(m))) mutate_inputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) inds = [1,-1, 2] Wiexp = permutedims(hcat(weights(layer(m))[1, :], zeros(Float32, 2), weights(layer(m))[2, :])) wh = hiddenweights(layer(m)) Whexp = [wh[1, 1] 0 wh[1, 2]; zeros(Float32, 1, 3); wh[2, 1] 0 wh[2, 2]] bexp = Float32[bias(layer(m))[1], 0, bias(layer(m))[2]] hexp = Float32[hiddenstate(layer(m))[1], 0, hiddenstate(layer(m))[2]] sexp = Float32[state(layer(m))[1], 0, state(layer(m))[2]] mutate_outputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) #Sanity check that the layer still seems to work after mutation output = m(reshape(collect(Float32, 1:2*10), 2,10)) @test size(output) == (3, 10) @test isnan.(output) == falses(size(output)) end @testset "LSTM MutableLayer" begin m = MutableLayer(LSTM(3, 4)) setparslstm(layer(m)) @test nin(m) == nin(m.layer) == 3 @test nout(m) == nout(m.layer) == 4 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 inds = [1, 3] Wiexp = weights(layer(m))[:, inds] Whexp = copy(hiddenweights(layer(m))) bexp = copy(bias(layer(m))) hexp = copy(hiddenstate(layer(m))) sexp = copy(state(layer(m))) mutate_inputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) inds = [1,-1, 2] wi = weights(layer(m)) scalerange = (0:outscale(layer(m))-1) .* nout(layer(m)) Wiexp = permutedims(mapfoldl(offs -> hcat(wi[1+offs, :], zeros(Float32, 2), wi[2+offs, :]), hcat, scalerange)) wh = hiddenweights(layer(m)) Whexp = mapfoldl(offs -> [wh[1+offs, 1] 0 wh[1+offs, 2]; zeros(Float32, 1, 3); wh[2+offs, 1] 0 wh[2+offs, 2]], vcat, scalerange) bexp = mapfoldl(offs -> Float32[bias(layer(m))[1+offs], 0, bias(layer(m))[2+offs]], vcat, scalerange) hexp = map(hs -> Float32[hs[1], 0, hs[2]], hiddenstate(layer(m))) sexp = map(hs -> Float32[hs[1], 0, hs[2]], state(layer(m))) mutate_outputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) #Sanity check that the layer still seems to work after mutation output = m(reshape(collect(Float32, 1:2*10), 2,10)) @test size(output) == (3, 10) @test isnan.(output) == falses(size(output)) end @testset "GRU MutableLayer" begin m = MutableLayer(GRU(3, 4)) setparsrnn(layer(m)) @test nin(m) == nin(m.layer) == 3 @test nout(m) == nout(m.layer) == 4 @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 inds = [1, 3] Wiexp = weights(layer(m))[:, inds] Whexp = copy(hiddenweights(layer(m))) bexp = copy(bias(layer(m))) hexp = copy(hiddenstate(layer(m))) sexp = copy(state(layer(m))) mutate_inputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) inds = [1,-1, 2] wi = weights(layer(m)) scalerange = (0:outscale(layer(m))-1) .* nout(layer(m)) Wiexp = permutedims(mapfoldl(offs -> hcat(wi[1+offs, :], zeros(Float32, 2), wi[2+offs, :]), hcat, scalerange)) wh = hiddenweights(layer(m)) Whexp = mapfoldl(offs -> [wh[1+offs, 1] 0 wh[1+offs, 2]; zeros(Float32, 1, 3); wh[2+offs, 1] 0 wh[2+offs, 2]], vcat, scalerange) bexp = mapfoldl(offs -> Float32[bias(layer(m))[1+offs], 0, bias(layer(m))[2+offs]], vcat, scalerange) hexp = Float32[hiddenstate(layer(m))[1], 0, hiddenstate(layer(m))[2]] sexp = Float32[state(layer(m))[1], 0, state(layer(m))[2]] mutate_outputs(m, inds) assertrecurrent(layer(m), Wiexp, Whexp, bexp, hexp, sexp) #Sanity check that the layer still seems to work after mutation output = m(reshape(collect(Float32, 1:2*10), 2,10)) @test size(output) == (3, 10) @test isnan.(output) == falses(size(output)) end end @testset "Clone MutableLayer" begin m = MutableLayer(Dense(2,3)) cloned = clone(m) @test layer(cloned) !== layer(m) @test cloned([1, 2]) == m([1, 2]) end @testset "LazyMutable" begin @testset "LazyMutable Dense factory" begin struct DenseFactory end function NaiveNASflux.dispatch!(m::LazyMutable, ::DenseFactory, x) m.mutable = MutableLayer(Dense(nin(m), nout(m))) return m(x) end m = LazyMutable(DenseFactory(), 2, 3) @test typeof(m.mutable) == DenseFactory expected = m(Float32[2,3]) @test typeof(m.mutable) == MutableLayer @test m(Float32[2,3]) == expected #Now mutate before create m = LazyMutable(DenseFactory(), 2, 3) mutate_inputs(m, 5) mutate_outputs(m, 4) #No eagerness allowed :) @test m.mutable != MutableLayer expected = m(Float32[0,1,2,3,4]) @test typeof(m.mutable) == MutableLayer @test m(Float32[0,1,2,3,4]) == expected end @testset "LazyMutable with Dense MutableLayer" begin m = MutableLayer(Dense(3,4)) mlazy = LazyMutable(m) Wexp = weights(layer(m)) bexp = bias(layer(m)) @test minΔninfactor(m) == 1 @test minΔnoutfactor(m) == 1 mutate_inputs(mlazy, [1, 3]) assertlayer(layer(m), Wexp, bexp) mutate_outputs(mlazy, [2, 4, -1]) assertlayer(layer(m), Wexp, bexp) @test layer(m) == layer(mlazy) @test layertype(m) == layertype(mlazy) expected = mlazy(Float32[2,3]) @test nin(mlazy) == nin(m) == 2 @test nout(mlazy) == nout(m) == 3 @test expected == m(Float32[2,3]) end @testset "LazyeMutable DepthwiseConv" begin m = LazyMutable(MutableLayer(DepthwiseConv((2,2),(3=>6*3)))) @test nin(m) == nin(layer(m)) == 3 @test nout(m) == nout(layer(m)) == 18 input = reshape(collect(Float32, 1:3*3*3), 3, 3, 3, 1) @test m(input) == layer(m)(input) ins = [1, 3] wouts = [1, 2, 5, 6] outs = mapfoldl(i -> 2 * i .+ [-1, -0] ,vcat, wouts) Wexp, bexp = weights(layer(m))[:,:,wouts,ins], bias(layer(m))[outs] mutate_inputs(m, ins) mutate_outputs(m, outs) @test size(m(ones(Float32, 3,3,2,2)))[3:4] == (8, 2) assertlayer(layer(m), Wexp, bexp) end @testset "LazyMutable reselect" begin m = LazyMutable(MutableLayer(Dense(5,5))) mutate_inputs(m, [-1, 1, 3, -1, 4]) @test m.inputs == [-1, 1, 3, -1, 4] mutate_inputs(m, [1,2,4,5]) @test m.inputs == [-1, 1,-1, 4] mutate_outputs(m, [2, -1, 3, -1, 4]) @test m.outputs == [2, -1, 3, -1, 4] mutate_outputs(m, [1, 2, 5,-1]) @test m.outputs == [2, -1, 4, -1] @test m(Float32[1,3,5,7]) == layer(m)(Float32[1,3,5,7]) end @testset "Clone" begin mlazy = LazyMutable(MutableLayer(Dense(2,3))) cloned = clone(mlazy) @test layer(cloned) !== layer(mlazy) @test cloned([1, 2]) == mlazy([1, 2]) end @testset "Treelike" begin m = LazyMutable(MutableLayer(Dense(2,3))) visitfun(x) = x visitdense = false function visitfun(l::TrackedArray) visitdense = true return l end mutate_inputs(m, [-1, -1, 1, 2]) Flux.mapleaves(visitfun, m) @test visitdense end end end
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10690, 7, 76, 13, 29289, 8, 198, 220, 220, 220, 220, 220, 220, 220, 4517, 378, 62, 15414, 82, 7, 76, 11, 773, 82, 8, 198, 220, 220, 220, 220, 220, 220, 220, 6818, 29289, 7, 76, 13, 29289, 11, 775, 42372, 11, 307, 42372, 8, 628, 220, 220, 220, 220, 220, 220, 220, 773, 82, 796, 685, 16, 11, 17, 11, 19, 60, 198, 220, 220, 220, 220, 220, 220, 220, 775, 42372, 11, 307, 42372, 796, 19590, 7, 76, 13, 29289, 38381, 521, 82, 11, 1058, 4357, 10690, 7, 76, 13, 29289, 38381, 521, 82, 60, 198, 220, 220, 220, 220, 220, 220, 220, 4517, 378, 62, 22915, 82, 7, 76, 11, 773, 82, 8, 198, 220, 220, 220, 220, 220, 220, 220, 6818, 29289, 7, 76, 13, 29289, 11, 775, 42372, 11, 307, 42372, 8, 628, 220, 220, 220, 220, 220, 220, 220, 773, 82, 796, 685, 16, 12095, 16, 11, 362, 60, 198, 220, 220, 220, 220, 220, 220, 220, 775, 42372, 796, 289, 9246, 7, 43775, 7, 76, 13, 29289, 38381, 45299, 352, 4357, 1976, 27498, 7, 43879, 2624, 11, 513, 828, 19590, 7, 76, 13, 29289, 38381, 45299, 362, 12962, 198, 220, 220, 220, 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module Crazyflie using PyCall export scan, connect, disconnect, play export bootloader, crtp, drivers, positioning, utils export crazyflie, synccrazyflie, logger, synclogger, mem export record, log_posn, log_quat, log_config # export reset_estimator, upload_traj, enable_commander # export land export motor_ramp_test, log_posn, log_quat const bootloader = PyNULL() const crtp = PyNULL() const drivers = PyNULL() const positioning = PyNULL() const utils = PyNULL() const crazyflie = PyNULL() const synccrazyflie = PyNULL() const logger = PyNULL() const synclogger = PyNULL() const mem = PyNULL() function __init__() copy!(bootloader, pyimport("cflib.bootloader")) copy!(crtp, pyimport("cflib.crtp")) copy!(drivers, pyimport("cflib.drivers")) copy!(positioning, pyimport("cflib.positioning")) copy!(utils, pyimport("cflib.utils")) copy!(crazyflie, pyimport("cflib.crazyflie")) copy!(synccrazyflie, pyimport("cflib.crazyflie.syncCrazyflie")) copy!(logger, pyimport("cflib.crazyflie.log")) copy!(synclogger, pyimport("cflib.crazyflie.syncLogger")) copy!(mem, pyimport("cflib.crazyflie.mem")) crtp.init_drivers(enable_debug_driver=false) nothing end function scan() available = crtp.scan_interfaces() if isempty(available) print("No crazyflies found.\n") end print("Found $(size(available, 1)) crazyflies:\n") for device in eachrow(available) print("\t" * device[1] * "\n") end nothing end function _first_available() available = crtp.scan_interfaces() if isempty(available) error("No crazyflies found. " * "Please specifiy a URI or try again. \n") end return available[1,1] end function connect(uri=_first_available()) scf = synccrazyflie.SyncCrazyflie(uri, cf=crazyflie.Crazyflie(rw_cache="./cache")) scf.open_link() return scf end function play(alg, uri=_first_available()) scf = connect(uri) try alg(scf.cf) catch e @show e # Catch keyboard interrupts if desired end disconnect(scf) end function disconnect(scf) scf.close_link() nothing end # # function upload_traj(cf, id, traj) # trajmem = cf.mem.get_mems(mem.MemoryElement.TYPE_TRAJ)[1] # total_duration = 0 # for row in traj # duration = row[1] # x = mem.Poly4D.Poly(row[2:9]) # y = mem.Poly4D.Poly(row[10:17]) # z = mem.Poly4D.Poly(row[18:25]) # yaw = mem.Poly4D.Poly(row[26:33]) # push!(trajmem.poly4Ds, mem.Poly4D(duration, x, y, z, yaw)) # total_duration += duration # end # # py""" # import time # class Uploader: # def __init__(self): # self._is_done = False # # def upload(self, trajectory_mem): # print('Uploading data') # trajectory_mem.write_data(self._upload_done) # # while not self._is_done: # time.sleep(0.2) # # def _upload_done(self, mem, addr): # print('Data uploaded') # self._is_done = True # """ # py"Uploader().upload($trajmem)" # cf.high_level_commander.define_trajectory(id, 0, length(trajmem.poly4Ds)) # return total_duration # end # # function reset_estimator(cf) # cf.param.set_value("kalman.resetEstimation", "1") # sleep(0.1) # cf.param.set_value("kalman.resetEstimation", "0") # lconfig = logger.LogConfig(name="Kalman Variance", period_in_ms=500) # lconfig.add_variable("kalman.varPX", "float") # lconfig.add_variable("kalman.varPY", "float") # lconfig.add_variable("kalman.varPZ", "float") # varx = ones(10)*1000 # vary = ones(10)*1000 # varz = ones(10)*1000 # record(cf, lconfig) do logs # for entry in logs # data = entry[2] # push!(varx, data["kalman.varPX"]) # push!(vary, data["kalman.varPY"]) # push!(varz, data["kalman.varPZ"]) # popfirst!(varx); popfirst!(vary); popfirst!(varz) # threshx = (maximum(varx) - minimum(varx)) < 0.001 # threshy = (maximum(vary) - minimum(vary)) < 0.001 # threshz = (maximum(varz) - minimum(varz)) < 0.001 # if threshx && threshy && threshz # break # end # end # end # end # # function enable_commander(cf) # cf.param.set_value("commander.enHighLevel", "1") # cf.high_level_commander # end # # # commander take off because commander.land is not reliable # function land(commander, duration) # print("Landing\n") # for i = 1:10 # # keep sending land messages because # # it doesn't recieve it sometimes # commander.land(0.0, duration) # sleep(0.1) # end # sleep(duration) # commander.stop() # end include("log.jl") include("examples.jl") end # module
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module JuKeBOX # Write your package code here. using ComradeBase using ConcreteStructs: @concrete using Elliptic using DocStringExtensions using Elliptic using LinearAlgebra using Polyester using StaticArrays using StructArrays export Observer, BAM, bam, raytrace, intensity_point abstract type AccretionModel <: ComradeBase.AbstractPolarizedModel end ComradeBase.visanalytic(::Type{<:AccretionModel}) = ComradeBase.NotAnalytic() ComradeBase.imanalytic(::Type{<:AccretionModel}) = ComradeBase.IsAnalytic() struct SimpleModel{B,G,O} <: AccretionModel acc::B g::G o::O end ComradeBase.isprimitive(::Type{<:SimpleModel}) = ComradeBase.IsPrimitive() @inline function ComradeBase.intensity_point(s::AccretionModel, α, β) raytrace(-α, β, s.g, s.o, s.acc) end include("model_helpers.jl") include("metric/kerr.jl") include("bam.jl") end
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struct SGD_prox_iterable{R<:Real,C<:RealOrComplex{R},Tx<:AbstractArray{C},Tf,Tg} F::Array{Tf} # smooth term g::Tg # nonsmooth term x0::Tx # initial point N::Int # of data points in the finite sum problem L::Maybe{Union{Array{R},R}} # Lipschitz moduli of nabla f_i μ::Maybe{Union{Array{R},R}} # convexity moduli of the gradients γ::Maybe{R} # stepsize plus::Bool # plus version (diminishing stepsize) end mutable struct SGD_prox_state{R<:Real,Tx} γ::R # stepsize z::Tx cind::Int # current interation index idxr::Int # current index # some extra placeholders ∇f_temp::Tx # placeholder for gradients temp::Tx end function SGD_prox_state(γ::R, z::Tx, cind) where {R,Tx} return SGD_prox_state{R,Tx}(γ, z, cind, Int(0), copy(z), copy(z)) end function Base.iterate(iter::SGD_prox_iterable{R}) where {R} N = iter.N ind = collect(1:N) # updating the stepsize if iter.γ === nothing if iter.L === nothing @warn "smoothness or convexity parameter absent" return nothing else L_M = maximum(iter.L) γ = 1/ (2*L_M) end else γ = iter.γ # provided γ end if iter.plus println("diminishing stepsize version") end # initializing the vectors ∇f_temp = zero(iter.x0) z = zero(iter.x0) z .= iter.x0 cind = 0 for i = 1:N ∇f, ~ = gradient(iter.F[i], z) if iter.plus cind += 1 γ = 0.1/(1+cind/N) end ∇f ./= N ∇f .*= - γ ∇f .+= z CIAOAlgorithms.prox!(z, iter.g, ∇f, γ) end state = SGD_prox_state(γ, z, cind) return state, state end function Base.iterate(iter::SGD_prox_iterable{R}, state::SGD_prox_state{R}) where {R} # The inner cycle for i=1:iter.N # just for speed in implementation state.cind += 1 if iter.plus state.γ = 0.1/(1+state.cind/iter.N) end gradient!(state.∇f_temp, iter.F[i], state.z) state.∇f_temp .*= - state.γ state.∇f_temp ./= iter.N state.∇f_temp .+= state.z CIAOAlgorithms.prox!(state.z, iter.g, state.∇f_temp, state.γ) end return state, state end solution(state::SGD_prox_state) = state.z
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