Contourf + quiet mode = segfault; additionally, areas filled improperly

**Bug category**

- [ ] *bug - compilation error*
- [ ] *bug - compilation warning*
- [x] *bug - runtime error*
- [ ] *bug - runtime warning*
- [ ] *bug - logic error*

**Describe the bug**


In the code below, five examples (replace `input0();` with `input1();` ... `input4();` in  `main()` to load the data for the other examples) demonstrate issues I had with the filed contour plots `contourf`. I presume that those issues might be related (or maybe they are not). Apart from that, I'd like to thank you for this excellent library - I was stunned when I stumbled upon the project :) Not having to export examples to a Matlab code to merely check them out there is tremendous help.



##### Example 0 (`input0`): 
- Produces a segfault when the figure is generated with `figure(true);`. 
- GDB says (see also backtrace below) this happens in `matplot::contours::is_lower_level`
- In the reactive mode (`figure(false);`), segfault is not produced; however, the calculated levels, as indicated by the colorbar, are garbage. See the produced plot below.
- For comparison: the other image for this example is produced by Matlab's `contourf` version on the same data.
- It should be noted that `X`, `Y` in this example are not produced by `meshgrid` (rather, they correspond to $r\cos(\phi)$ and $r\sin(\phi)$, where the data for $r$ and $\phi$ are generated by `meshgrid`). I could not produce an example where the segfault happened with data of the from `auto [X, Y] = meshgrid(x, y);`


<details>

<summary>
Images for example 0
</summary>

![img0F](https://user-images.githubusercontent.com/56190101/212282066-78705d1d-984b-4aa4-85bb-ac28808b2b4c.png)


![img0M](https://user-images.githubusercontent.com/56190101/212282106-8c715981-8c64-478e-9c6c-48153b12e2b1.png)

</details>




##### Example 1 (`input1`): 

- The data are consistent with the output of `meshgrid`; 
- Now, no segfault, but the levels are still infinite and the produced plot  nonsensical (specifically, filling is all wrong; the contours themselves, plotted with solid lines, actually appear OK). See the first plot below.
- It should be noted that now both reactive and quiet mode produce the same figure.
- For comparison, the other figure is generated by Matlab from the same data.


<details>

<summary>
Images for example 1
</summary>

![img1](https://user-images.githubusercontent.com/56190101/212285887-89ee470b-217f-4644-a205-a3bcbbbd9fc8.png)

![img1M](https://user-images.githubusercontent.com/56190101/212285908-8b0696eb-bba7-43ec-bebe-603cdf72a751.png)


</details>



##### Example 2 (`input2`): 

- The data are consistent with the output of `meshgrid`; 
- The calculated levels (as indicated by the colorbar) are now finite (and appear correct). However, the plot is filled improperly, with shaded regions not corresponding to the actual level lines.
- The first image below produced by `matplot++`, the second by Matlab on the same data.


<details>

<summary>
Images for example 2
</summary>

![img2](https://user-images.githubusercontent.com/56190101/212287326-b753ca34-f27a-4cf8-8661-7b7e44be13a3.png)

![img2M](https://user-images.githubusercontent.com/56190101/212287345-6ff51137-1f48-4bc3-826c-99fc7a67a443.png)

</details>



##### Example 3 (`input3`): 

- The data are **not** consistent with the output of `meshgrid`, but of the form $r\cos(\phi)$ and $r\sin(\phi)$, similarly as in Example 0. For this simple function, the plot is produced (and the levels are finite), but...
- The rows in `X`, `Y`, `Z` correspond to values of $\phi$, with the first and last being $0$ and $2\pi$, respectively (similarly as in Example 0). However, `matplot++` produces an example with a sector 'cut out', see the first image below. Matlab on the same data produces a correct contour plot.
- The generated data in this example (and also Example 0) contain also two identical (up to numerical accuracy) rows corresponding to $\phi=\pi$ (as well as for $\phi \in {0,2\pi}$, of course); I did play around with the examples either by removing the identical rows (or making them truly identical, instead of up to $10^{-15}$ precision), but it did not help (also, the segfault in Example 0 was generated in all these variants). 


<details>

<summary>
Images for example 3
</summary>

![img3](https://user-images.githubusercontent.com/56190101/212289362-492b0162-430d-4e7e-a9ef-f37e4e753687.png)

![img3M](https://user-images.githubusercontent.com/56190101/212289432-43b7e7e9-7f7e-4d18-a625-5a93e99ad634.png)


</details>



##### Example 4 (`input4`): 

- This is to be contrasted with Example 3: the cutout issue is solved by adding an additional row, duplicate of the first nonzero value of $\phi$ (i.e., we essentially do `X.push_back(X[1]);` for all arrays in Example 3).
- Now `matplot++` produces a correct plot (see below); also so does Matlab on the same data (and the resulting plot is identical to `img3M` above).
- In Example 0, such an addition of extra rows does not help with the segfault, however.

<details>

<summary>
Image for example 4
</summary>

![img4](https://user-images.githubusercontent.com/56190101/212289951-738887b5-6dd8-4d6d-b1cc-48c14e7a0130.png)


</details>



##### Additional notes

- In Examples 1-4, both `figure(false);` and `figure(true);` reproduce the same behavior, i.e., the improper filling does not depend upon the mode for figure.
- If one uncomments `//contourf(X,Y,Z);` but comments out the three lines above, the behavior is the same in all examples.
- I did notice there have been some issues with `contourf` and even the `matplot::contours::is_lower_level` member (e.g., the open issue #77 -  but not sure if it is related)
- For reporting purposes, the `matplot++` library was built with  `CMAKE_BUILD_TYPE=Debug` (but the bug was present also on the Release version):
```bash
cmake .. -DCMAKE_BUILD_TYPE=Debug -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF
cmake --build . --parallel 2 --config Debug
```
- Finally, the non-filled version `contour(X,Y,Z)` in all examples and settings worked perfectly.



**Steps to Reproduce**



<details>

<summary>
Source code and data:
</summary>

```cpp
#include <matplot/matplot.h>
#include <thread>


std::vector< std::vector<double> > X,Y,Z;

void input0(){

X={
	{0, 0.666667, 1.33333, 2},
 	{0, 0.471405, 0.942809, 1.41421},
 	{0, 4.08216e-17, 8.16431e-17, 1.22465e-16},
 	{-0, -0.471405, -0.942809, -1.41421},
 	{-0, -0.666667, -1.33333, -2},
 	{-0, -0.666667, -1.33333, -2},
 	{-0, -0.471405, -0.942809, -1.41421},
 	{-0, -4.08216e-17, -8.16431e-17, -1.22465e-16},
 	{0, 0.471405, 0.942809, 1.41421},
 	{0, 0.666667, 1.33333, 2},
};
Y={
	{0, 0, 0, 0},
 	{0, 0.471405, 0.942809, 1.41421},
 	{0, 0.666667, 1.33333, 2},
 	{0, 0.471405, 0.942809, 1.41421},
 	{0, 8.16431e-17, 1.63286e-16, 2.44929e-16},
 	{-0, -0, -0, -0},
 	{-0, -0.471405, -0.942809, -1.41421},
 	{-0, -0.666667, -1.33333, -2},
 	{-0, -0.471405, -0.942809, -1.41421},
 	{-0, -8.16431e-17, -1.63286e-16, -2.44929e-16},
};

Z={
	{-0.806291, 0.109974, 0.00975164, 1.56284e-07},
 	{-0.806291, -0.413175, 0.0112942, 1.74055e-07},
 	{-0.806291, 0.602772, 0.0195515, 2.30858e-07},
 	{-0.806291, 1.52672, 0.028121, 2.89551e-07},
 	{-0.806291, 0.911565, 0.0299758, 3.09213e-07},
 	{-0.806291, 0.911565, 0.0299758, 3.09213e-07},
 	{-0.806291, 1.52672, 0.028121, 2.89551e-07},
 	{-0.806291, 0.602772, 0.0195515, 2.30858e-07},
 	{-0.806291, -0.413175, 0.0112942, 1.74055e-07},
 	{-0.806291, 0.109974, 0.00975164, 1.56284e-07},
};


}



void input1(){
X={
	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
 	{-2, -0.666667, 0.666667, 2},
};
Y={
	{-2, -2, -2, -2},
 	{-1.6, -1.6, -1.6, -1.6},
 	{-1.2, -1.2, -1.2, -1.2},
 	{-0.8, -0.8, -0.8, -0.8},
 	{-0.4, -0.4, -0.4, -0.4},
 	{0, 0, 0, 0},
 	{0.4, 0.4, 0.4, 0.4},
 	{0.8, 0.8, 0.8, 0.8},
 	{1.2, 1.2, 1.2, 1.2},
 	{1.6, 1.6, 1.6, 1.6},
 	{2, 2, 2, 2},
};
Z={
	{2.39185e-09, 0.00276597, 0.00313371, 2.49509e-09},
 	{1.14939e-06, -0.000477293, 0.0292385, 1.21027e-06},
 	{7.41466e-05, 0.0886575, -0.116372, 8.19955e-05},
 	{0.000842403, -0.163246, 0.857009, 0.00115847},
 	{0.0026183, 0.855871, 0.829974, 0.00590244},
 	{0.00354349, 1.16218, 1.1377, 0.0109249},
 	{0.0026183, 0.855871, 0.829974, 0.00590244},
 	{0.000842403, -0.163246, 0.857009, 0.00115847},
 	{7.41466e-05, 0.0886575, -0.116372, 8.19955e-05},
 	{1.14939e-06, -0.000477293, 0.0292385, 1.21027e-06},
 	{2.39185e-09, 0.00276597, 0.00313371, 2.49509e-09},
};

}



void input2(){

X={
	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
 	{-1.7, -1.13333, -0.566667, 0, 0.566667, 1.13333, 1.7},
};
Y={
	{-1.7, -1.7, -1.7, -1.7, -1.7, -1.7, -1.7},
 	{-1.36, -1.36, -1.36, -1.36, -1.36, -1.36, -1.36},
 	{-1.02, -1.02, -1.02, -1.02, -1.02, -1.02, -1.02},
 	{-0.68, -0.68, -0.68, -0.68, -0.68, -0.68, -0.68},
 	{-0.34, -0.34, -0.34, -0.34, -0.34, -0.34, -0.34},
 	{0, 0, 0, 0, 0, 0, 0},
 	{0.34, 0.34, 0.34, 0.34, 0.34, 0.34, 0.34},
 	{0.68, 0.68, 0.68, 0.68, 0.68, 0.68, 0.68},
 	{1.02, 1.02, 1.02, 1.02, 1.02, 1.02, 1.02},
 	{1.36, 1.36, 1.36, 1.36, 1.36, 1.36, 1.36},
 	{1.7, 1.7, 1.7, 1.7, 1.7, 1.7, 1.7},
};
Z={
	{2.47695e-05, 0.00347924, 0.0159238, 0.111652, 0.0425439, 0.00328751, 2.45727e-05},
 	{0.000702989, -0.000339059, -0.0441639, 0.400753, 0.042592, -0.00320279, 0.000646919},
 	{0.00421222, -0.00897225, -0.0292202, 1.01869, 0.400494, 0.100793, 0.00329369},
 	{0.00947364, -0.0427793, 0.262785, 1.1254, 1.25067, -0.131926, 0.00828156},
 	{0.0185485, -0.00292027, 1.21314, 1.0483, 0.332686, 0.473086, 0.054183},
 	{0.0252676, 0.757398, 1.30105, 0.840936, 1.16737, 1.09964, 0.11956},
 	{0.0185485, -0.00292027, 1.21314, 1.0483, 0.332686, 0.473086, 0.054183},
 	{0.00947364, -0.0427793, 0.262785, 1.1254, 1.25067, -0.131926, 0.00828156},
 	{0.00421222, -0.00897225, -0.0292202, 1.01869, 0.400494, 0.100793, 0.00329369},
 	{0.000702989, -0.000339059, -0.0441639, 0.400753, 0.042592, -0.00320279, 0.000646919},
 	{2.47695e-05, 0.00347924, 0.0159238, 0.111652, 0.0425439, 0.00328751, 2.45727e-05},
};

}



void input3(){
X={
	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 1.02054e-16, 2.04108e-16, 3.06162e-16, 4.08216e-16, 5.10269e-16, 6.12323e-16},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -1.02054e-16, -2.04108e-16, -3.06162e-16, -4.08216e-16, -5.10269e-16, -6.12323e-16},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
};
Y={
	{0, 0, 0, 0, 0, 0, 0},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 2.04108e-16, 4.08216e-16, 6.12323e-16, 8.16431e-16, 1.02054e-15, 1.22465e-15},
 	{-0, -0, -0, -0, -0, -0, -0},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -2.04108e-16, -4.08216e-16, -6.12323e-16, -8.16431e-16, -1.02054e-15, -1.22465e-15},
};
Z={
	{-0.806291, 9.5359e-05, 1.72896e-25, 2.75652e-62, 1.4149e-114, 3.34493e-182, 4.24539e-265},
 	{-0.806291, 9.71048e-05, 1.74691e-25, 2.77522e-62, 1.42198e-114, 3.35818e-182, 4.25929e-265},
 	{-0.806291, 0.000103195, 1.8006e-25, 2.83019e-62, 1.44269e-114, 3.39683e-182, 4.29978e-265},
 	{-0.806291, 0.000115283, 1.88834e-25, 2.91769e-62, 1.47537e-114, 3.45753e-182, 4.36324e-265},
 	{-0.806291, 0.00013386, 2.00433e-25, 3.03048e-62, 1.51711e-114, 3.53475e-182, 4.44375e-265},
 	{-0.806291, 0.000156898, 2.13719e-25, 3.15761e-62, 1.56387e-114, 3.62099e-182, 4.53353e-265},
 	{-0.806291, 0.000180277, 2.2713e-25, 3.28557e-62, 1.61087e-114, 3.70758e-182, 4.6236e-265},
 	{-0.806291, 0.000199744, 2.39057e-25, 3.40054e-62, 1.65322e-114, 3.7857e-182, 4.7049e-265},
 	{-0.806291, 0.000212931, 2.48237e-25, 3.49073e-62, 1.68665e-114, 3.84752e-182, 4.76933e-265},
 	{-0.806291, 0.000219911, 2.53935e-25, 3.54788e-62, 1.70797e-114, 3.88706e-182, 4.81061e-265},
 	{-0.806291, 0.000221996, 2.55856e-25, 3.56741e-62, 1.71529e-114, 3.90066e-182, 4.82481e-265},
 	{-0.806291, 0.000221996, 2.55856e-25, 3.56741e-62, 1.71529e-114, 3.90066e-182, 4.82481e-265},
 	{-0.806291, 0.000219911, 2.53935e-25, 3.54788e-62, 1.70797e-114, 3.88706e-182, 4.81061e-265},
 	{-0.806291, 0.000212931, 2.48237e-25, 3.49073e-62, 1.68665e-114, 3.84752e-182, 4.76933e-265},
 	{-0.806291, 0.000199744, 2.39057e-25, 3.40054e-62, 1.65322e-114, 3.7857e-182, 4.7049e-265},
 	{-0.806291, 0.000180277, 2.2713e-25, 3.28557e-62, 1.61087e-114, 3.70758e-182, 4.6236e-265},
 	{-0.806291, 0.000156898, 2.13719e-25, 3.15761e-62, 1.56387e-114, 3.62099e-182, 4.53353e-265},
 	{-0.806291, 0.00013386, 2.00433e-25, 3.03048e-62, 1.51711e-114, 3.53475e-182, 4.44375e-265},
 	{-0.806291, 0.000115283, 1.88834e-25, 2.91769e-62, 1.47537e-114, 3.45753e-182, 4.36324e-265},
 	{-0.806291, 0.000103195, 1.8006e-25, 2.83019e-62, 1.44269e-114, 3.39683e-182, 4.29978e-265},
 	{-0.806291, 9.71048e-05, 1.74691e-25, 2.77522e-62, 1.42198e-114, 3.35818e-182, 4.25929e-265},
 	{-0.806291, 9.5359e-05, 1.72896e-25, 2.75652e-62, 1.4149e-114, 3.34493e-182, 4.24539e-265},
};


}


void input4(){
X={
	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 1.02054e-16, 2.04108e-16, 3.06162e-16, 4.08216e-16, 5.10269e-16, 6.12323e-16},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -1.02054e-16, -2.04108e-16, -3.06162e-16, -4.08216e-16, -5.10269e-16, -6.12323e-16},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
};
Y={
	{0, 0, 0, 0, 0, 0, 0},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.66667, 3.33333, 5, 6.66667, 8.33333, 10},
 	{0, 1.58509, 3.17019, 4.75528, 6.34038, 7.92547, 9.51057},
 	{0, 1.34836, 2.69672, 4.04508, 5.39345, 6.74181, 8.09017},
 	{0, 0.979642, 1.95928, 2.93893, 3.91857, 4.89821, 5.87785},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
 	{0, 2.04108e-16, 4.08216e-16, 6.12323e-16, 8.16431e-16, 1.02054e-15, 1.22465e-15},
 	{-0, -0, -0, -0, -0, -0, -0},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.66667, -3.33333, -5, -6.66667, -8.33333, -10},
 	{-0, -1.58509, -3.17019, -4.75528, -6.34038, -7.92547, -9.51057},
 	{-0, -1.34836, -2.69672, -4.04508, -5.39345, -6.74181, -8.09017},
 	{-0, -0.979642, -1.95928, -2.93893, -3.91857, -4.89821, -5.87785},
 	{-0, -0.515028, -1.03006, -1.54508, -2.06011, -2.57514, -3.09017},
 	{-0, -2.04108e-16, -4.08216e-16, -6.12323e-16, -8.16431e-16, -1.02054e-15, -1.22465e-15},
 	{0, 0.515028, 1.03006, 1.54508, 2.06011, 2.57514, 3.09017},
};
Z={
	{-0.806291, 9.5359e-05, 1.72896e-25, 2.75652e-62, 1.4149e-114, 3.34493e-182, 4.24539e-265},
 	{-0.806291, 9.71048e-05, 1.74691e-25, 2.77522e-62, 1.42198e-114, 3.35818e-182, 4.25929e-265},
 	{-0.806291, 0.000103195, 1.8006e-25, 2.83019e-62, 1.44269e-114, 3.39683e-182, 4.29978e-265},
 	{-0.806291, 0.000115283, 1.88834e-25, 2.91769e-62, 1.47537e-114, 3.45753e-182, 4.36324e-265},
 	{-0.806291, 0.00013386, 2.00433e-25, 3.03048e-62, 1.51711e-114, 3.53475e-182, 4.44375e-265},
 	{-0.806291, 0.000156898, 2.13719e-25, 3.15761e-62, 1.56387e-114, 3.62099e-182, 4.53353e-265},
 	{-0.806291, 0.000180277, 2.2713e-25, 3.28557e-62, 1.61087e-114, 3.70758e-182, 4.6236e-265},
 	{-0.806291, 0.000199744, 2.39057e-25, 3.40054e-62, 1.65322e-114, 3.7857e-182, 4.7049e-265},
 	{-0.806291, 0.000212931, 2.48237e-25, 3.49073e-62, 1.68665e-114, 3.84752e-182, 4.76933e-265},
 	{-0.806291, 0.000219911, 2.53935e-25, 3.54788e-62, 1.70797e-114, 3.88706e-182, 4.81061e-265},
 	{-0.806291, 0.000221996, 2.55856e-25, 3.56741e-62, 1.71529e-114, 3.90066e-182, 4.82481e-265},
 	{-0.806291, 0.000221996, 2.55856e-25, 3.56741e-62, 1.71529e-114, 3.90066e-182, 4.82481e-265},
 	{-0.806291, 0.000219911, 2.53935e-25, 3.54788e-62, 1.70797e-114, 3.88706e-182, 4.81061e-265},
 	{-0.806291, 0.000212931, 2.48237e-25, 3.49073e-62, 1.68665e-114, 3.84752e-182, 4.76933e-265},
 	{-0.806291, 0.000199744, 2.39057e-25, 3.40054e-62, 1.65322e-114, 3.7857e-182, 4.7049e-265},
 	{-0.806291, 0.000180277, 2.2713e-25, 3.28557e-62, 1.61087e-114, 3.70758e-182, 4.6236e-265},
 	{-0.806291, 0.000156898, 2.13719e-25, 3.15761e-62, 1.56387e-114, 3.62099e-182, 4.53353e-265},
 	{-0.806291, 0.00013386, 2.00433e-25, 3.03048e-62, 1.51711e-114, 3.53475e-182, 4.44375e-265},
 	{-0.806291, 0.000115283, 1.88834e-25, 2.91769e-62, 1.47537e-114, 3.45753e-182, 4.36324e-265},
 	{-0.806291, 0.000103195, 1.8006e-25, 2.83019e-62, 1.44269e-114, 3.39683e-182, 4.29978e-265},
 	{-0.806291, 9.71048e-05, 1.74691e-25, 2.77522e-62, 1.42198e-114, 3.35818e-182, 4.25929e-265},
 	{-0.806291, 9.5359e-05, 1.72896e-25, 2.75652e-62, 1.4149e-114, 3.34493e-182, 4.24539e-265},
 	{-0.806291, 9.71048e-05, 1.74691e-25, 2.77522e-62, 1.42198e-114, 3.35818e-182, 4.25929e-265},
};

}



int main() {
    using namespace matplot;
    
    input0();


    auto f = figure(true);
    
    
    auto ax = f->current_axes();
    ax->contourf(X,Y,Z);
    f->draw();
    //contourf(X,Y,Z);
    
    show();

    return 0;
}
```
</details>

Building:
```bash
g++ -g -o out prog.cpp  -lmatplot  && ./out 
```

**Output**

```console
Segmentation fault (core dumped)
```

<details>

<summary>
GNU gdb (Ubuntu 12.1-3ubuntu2) 12.1 output
</summary>
 
```bash
gdb out 
```

```
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
[Detaching after vfork from child process 11148]
[Detaching after vfork from child process 11150]
[Detaching after vfork from child process 11151]

Program received signal SIGSEGV, Segmentation fault.
0x00007ffff75b33d1 in matplot::contours::is_lower_level(unsigned long, unsigned long, unsigned long) () from /usr/local/lib/libmatplot.so
(gdb) backtrace
#0  0x00007ffff75b33d1 in matplot::contours::is_lower_level(unsigned long, unsigned long, unsigned long) () from /usr/local/lib/libmatplot.so
#1  0x00007ffff75bee45 in matplot::contours::plot_string[abi:cxx11]() () from /usr/local/lib/libmatplot.so
#2  0x00007ffff74ade2f in matplot::axes_type::run_plot_objects_command() () from /usr/local/lib/libmatplot.so
#3  0x00007ffff74e4c59 in matplot::figure_type::send_gnuplot_draw_commands() () from /usr/local/lib/libmatplot.so
#4  0x00007ffff74e5315 in matplot::figure_type::draw() () from /usr/local/lib/libmatplot.so
#5  0x0000555555557b18 in main () at prog.cpp:14
(gdb) 
```

</details>



valgrind output (if that's of any help):
```bash
valgrind --leak-check=full --show-leak-kinds=all -s ./out
```
Output: https://pastebin.com/TeQxuWv0


</details>


**Platform**

- [x] *cross-platform issue - linux*
- [ ] *cross-platform issue - windows*
- [ ] *cross-platform issue - macos*

**Environment Details:**
 - OS: Ubuntu (Ubuntu 22.10,  Gnome 43.1, windowing system X11)
 - OS Version:  22.10
 - Compiler: g++
 - Compiler version: g++ (Ubuntu 12.2.0-3ubuntu1) 12.2.0

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Uh oh!

Contourf + quiet mode = segfault; additionally, areas filled improperly #318

Example 0 (`input0`):

Example 1 (`input1`):

Example 2 (`input2`):

Example 3 (`input3`):

Example 4 (`input4`):

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Contourf + quiet mode = segfault; additionally, areas filled improperly #318

Description

Example 0 (input0):

Example 1 (input1):

Example 2 (input2):

Example 3 (input3):

Example 4 (input4):

Additional notes

Metadata

Metadata

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Labels

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Example 0 (`input0`):

Example 1 (`input1`):

Example 2 (`input2`):

Example 3 (`input3`):

Example 4 (`input4`):