tests: added integration tests for var-greeks to cell_10.py

connorferster · connorferster · commit 0e7aaf0f3428 · 2024-06-14T08:47:15.000-07:00
diff --git a/test_handcalcs/cell_10.py b/test_handcalcs/cell_10.py
@@ -5,4 +5,19 @@
 eta = sqrt(1 / log10(6) / log(32))
 kappa = floor(23 / 4.5)  # Last comment
 
+varepsilon = 45 + sin(34 + 2) / 2  # Comment
+epsilon = sin(log2(log(3, 9)))
+vartheta = sqrt(1 / log10(6) / log(32))
+theta = sqrt(1 / log10(6) / log(32))
+varpi = sqrt(1 / log10(6) / log(32))
+pi = sqrt(1 / log10(6) / log(32))
+varrho = sqrt(1 / log10(6) / log(32))
+rho = sqrt(1 / log10(6) / log(32))
+varsigma = sqrt(1 / log10(6) / log(32))
+sigma = sqrt(1 / log10(6) / log(32))
+varphi = sqrt(1 / log10(6) / log(32))
+phi = sqrt(1 / log10(6) / log(32))
+
+Omega = varepsilon + epsilon + vartheta + theta + varpi + pi + varrho + rho + varsigma + sigma + varphi + phi
+
 calc_results = globals()
diff --git a/test_handcalcs/test_handcalcs_file.py b/test_handcalcs/test_handcalcs_file.py
@@ -327,9 +327,8 @@ def test_integration():
     )
     assert (
         cell_10_renderer.render(config_options=config_options)
-        == "\\[\n\\begin{aligned}\n\\mu &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\tau &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\eta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\kappa &= \\left \\lfloor \\frac{ 23 }{ 4.5 } \\right \\rfloor &= 5 \\; \\;\\textrm{(Last comment)}\n\\end{aligned}\n\\]"
+        == '\\[\n\\begin{aligned}\n\\mu &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\tau &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\eta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\kappa &= \\left \\lfloor \\frac{ 23 }{ 4.5 } \\right \\rfloor &= 5 \\; \\;\\textrm{(Last comment)}\n\\\\[10pt]\n\\varepsilon &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\epsilon &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\vartheta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\theta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\varpi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\pi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\varrho &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\rho &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\varsigma &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\sigma &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\varphi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\phi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1}  \n\\\\[10pt]\n\\Omega &= \\varepsilon + \\epsilon + \\vartheta + \\theta + \\varpi + \\pi + \\varrho + \\rho + \\varsigma + \\sigma + \\varphi + \\phi \\\\&= 4.450 \\times 10 ^ {1} + -8.415 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} \\\\&= 4.975 \\times 10 ^ {1}  \\\\[10pt]\n\\end{aligned}\n\\]'
     )
-
     assert (
         cell_11_renderer.render(config_options=config_options)
         == "\\[\n\\begin{aligned}\nF_{e_{x}} &= \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( E ,\\  I_{x} ,\\  k_{x} ,\\  L \\right) }{ \\mathrm{area} }  = \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( 200000.000 ,\\  300000000.000 ,\\  1.000 ,\\  3500 \\right) }{ 1000 } &= 4.500  \n\\\\[10pt]\nF_{e_{y}} &= \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( E ,\\  I_{y} ,\\  k_{y} ,\\  L \\right) }{ \\mathrm{area} }  = \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( 200000.000 ,\\  150000000.000 ,\\  1.000 ,\\  3500 \\right) }{ 1000 } &= 4.500  \n\\\\[10pt]\nF_{e} &= \\operatorname{min} \\left( F_{e_{x}} ,\\  F_{e_{y}} \\right)  = \\operatorname{min} \\left( 4.500 ,\\  4.500 \\right) &= 4.500  \n\\\\[10pt]\n\\lambda &= \\sqrt { \\frac{ f_{y} }{ F_{e} } }  = \\sqrt { \\frac{ 350 }{ 4.500 } } &= 8.819  \n\\\\[10pt]\nP_{r} &= \\phi \\cdot \\mathrm{area} \\cdot f_{y} \\cdot \\left( 1 + \\left( \\lambda \\right) ^{ \\left( 2 \\cdot n \\right) } \\right) ^{ \\left( \\frac{ \\left( - 1 \\right) }{ n } \\right) } \\\\&= 0.900 \\cdot 1000 \\cdot 350 \\cdot \\left( 1 + \\left( 8.819 \\right) ^{ \\left( 2 \\cdot 1.340 \\right) } \\right) ^{ \\left( \\frac{ \\left( - 1 \\right) }{ 1.340 } \\right) } \\\\&= 4041.179  \\\\[10pt]\n\\end{aligned}\n\\]"

Original file line number	Diff line number	Diff line change
`@@ -327,9 +327,8 @@ def test_integration():`
`327`	`327`	`)`
`328`	`328`	`assert (`
`329`	`329`	`cell_10_renderer.render(config_options=config_options)`
`330`		- == "\\[\n\\begin{aligned}\n\\mu &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\tau &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1} \n\\\\[10pt]\n\\eta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\kappa &= \\left \\lfloor \\frac{ 23 }{ 4.5 } \\right \\rfloor &= 5 \\; \\;\\textrm{(Last comment)}\n\\end{aligned}\n\\]"
	`330`	+ == '\\[\n\\begin{aligned}\n\\mu &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\tau &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1} \n\\\\[10pt]\n\\eta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\kappa &= \\left \\lfloor \\frac{ 23 }{ 4.5 } \\right \\rfloor &= 5 \\; \\;\\textrm{(Last comment)}\n\\\\[10pt]\n\\varepsilon &= 45 + \\frac{ \\sin \\left( 34 + 2 \\right) }{ 2 } &= 4.450 \\times 10 ^ {1} \\; \\;\\textrm{(Comment)}\n\\\\[10pt]\n\\epsilon &= \\sin \\left( \\log_{2} \\left( \\log_{9} \\left( 3 \\right) \\right) \\right) &= -8.415 \\times 10 ^ {-1} \n\\\\[10pt]\n\\vartheta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\theta &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\varpi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\pi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\varrho &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\rho &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\varsigma &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\sigma &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\varphi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\phi &= \\sqrt { \\frac{ 1 }{ \\log_{10} \\left( 6 \\right) } \\cdot \\frac{1} { \\ln \\left( 32 \\right) } } &= 6.089 \\times 10 ^ {-1} \n\\\\[10pt]\n\\Omega &= \\varepsilon + \\epsilon + \\vartheta + \\theta + \\varpi + \\pi + \\varrho + \\rho + \\varsigma + \\sigma + \\varphi + \\phi \\\\&= 4.450 \\times 10 ^ {1} + -8.415 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} + 6.089 \\times 10 ^ {-1} \\\\&= 4.975 \\times 10 ^ {1} \\\\[10pt]\n\\end{aligned}\n\\]'
`331`	`331`	`)`
`332`		`-`
`333`	`332`	`assert (`
`334`	`333`	`cell_11_renderer.render(config_options=config_options)`
`335`	`334`	== "\\[\n\\begin{aligned}\nF_{e_{x}} &= \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( E ,\\ I_{x} ,\\ k_{x} ,\\ L \\right) }{ \\mathrm{area} } = \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( 200000.000 ,\\ 300000000.000 ,\\ 1.000 ,\\ 3500 \\right) }{ 1000 } &= 4.500 \n\\\\[10pt]\nF_{e_{y}} &= \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( E ,\\ I_{y} ,\\ k_{y} ,\\ L \\right) }{ \\mathrm{area} } = \\frac{ \\operatorname{euler\\ buckling\\ load} \\left( 200000.000 ,\\ 150000000.000 ,\\ 1.000 ,\\ 3500 \\right) }{ 1000 } &= 4.500 \n\\\\[10pt]\nF_{e} &= \\operatorname{min} \\left( F_{e_{x}} ,\\ F_{e_{y}} \\right) = \\operatorname{min} \\left( 4.500 ,\\ 4.500 \\right) &= 4.500 \n\\\\[10pt]\n\\lambda &= \\sqrt { \\frac{ f_{y} }{ F_{e} } } = \\sqrt { \\frac{ 350 }{ 4.500 } } &= 8.819 \n\\\\[10pt]\nP_{r} &= \\phi \\cdot \\mathrm{area} \\cdot f_{y} \\cdot \\left( 1 + \\left( \\lambda \\right) ^{ \\left( 2 \\cdot n \\right) } \\right) ^{ \\left( \\frac{ \\left( - 1 \\right) }{ n } \\right) } \\\\&= 0.900 \\cdot 1000 \\cdot 350 \\cdot \\left( 1 + \\left( 8.819 \\right) ^{ \\left( 2 \\cdot 1.340 \\right) } \\right) ^{ \\left( \\frac{ \\left( - 1 \\right) }{ 1.340 } \\right) } \\\\&= 4041.179 \\\\[10pt]\n\\end{aligned}\n\\]"