{"id":"gen-1785275485-ixW2jGxJuOEMqwlEzSVx","choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"\n\n\n \n \n Eğik Atış Simülasyonu\n \n\n\n

Eğik Atış: Denklem + Canlı Simülasyon

\n Başlangıç hızı, açı, yükseklik ve yerçekimi değerlerini değiştir. Simülasyondaki top,\n zaman çubuğu ve aşağıdaki sayısal denklemler aynı anda güncellenir.\n

\n x(t) = x₀ + v₀ cos(θ)t\n y(t) = y₀ + v₀ sin(θ)t − ½gt²\n vₓ = v₀ cos(θ)\n vᵧ(t) = v₀ sin(θ) − gt\n

\n\n

Atış parametreleri

Sürgüler değiştikçe denklemler de değişir.

\n\n

\n \n Başlangıç hızı v₀\n 35,0 m/s\n \n \n

\n \n m/s\n

\n\n

\n \n Atış açısı θ\n 45,0°\n \n \n

\n \n derece\n

\n\n

\n \n Başlangıç yüksekliği y₀\n 0,0 m\n \n \n

\n \n m\n

\n\n

\n \n Yerçekimi ivmesi g\n 9,81 m/s²\n \n \n

\n \n m/s²\n

\n\n

\n \n Animasyon hızı\n 1,0×\n \n \n

\n \n ×\n

\n\n

\n Model: Hava direnci yok, yerçekimi sabit, x₀ = 0 ve zemin y = 0 kabul edildi.\n

\n\n

Canlı hareket grafiği

Topun konumu, hız vektörleri ve yörünge çizgisi gerçek denklemlerle hesaplanır.

t = 0,00 s

\n\n

\n \n \n \n \n\n

\n \n Zaman t\n Senkron\n \n \n

\n\n

Zaman0,00 s

x(t)0,00 m

y(t)0,00 m

vₓ0,00 m/s

vᵧ(t)0,00 m/s

DurumBaşlangıç

\n\n

İlk atış denklemleri ve anlık değerler

Her satırda hem değişken hem de simülasyondaki güncel değeri görünür.

\n\n \n\n","refusal":null,"role":"assistant","annotations":null,"audio":null,"function_call":null,"tool_calls":null,"reasoning":"**Creating slider controls**\n\nI need to construct controls with both range and number inputs visible. I’ll build control rows that feature a slider and a number display, attaching listeners to sync their values. In the HTML, I want to ensure I keep it simple, without relying on external libraries. I might consider using Unicode Greek characters for representing angles and equations while converting degrees to radians. The equation panel will need to include various parameters too.**Developing dynamic equations**\n\nI’m working on a set of equations for a simulation, such as x(t) = x₀ + v₀ cosθ · t and y(t) = y₀ + v₀ sinθ · t - 1/2 g t². I need to make these dynamic, maybe by including a \"Start Motion\" button to toggle the simulation and synchronize the equations with user movements. There could be a potential issue with how responses are rendered in a browser. Since no external libraries will be used, I plan to output raw HTML to ensure proper functionality.**Planning HTML output**\n\nI’m realizing that the final response should be in full HTML format, not just a code block. The developer mentioned that it needs to render properly in a web browser. I should include the complete HTML within the same output, without mentioning anything about iframes. Since no external libraries will be used, I can create a simple inline script. I’ll need to plan the implementation in detail to make sure everything works seamlessly!**Structuring the HTML implementation**\n\nI'm outlining an important and robust implementation with a clear HTML structure. It starts with a `` declaration and sets the language to Turkish. In the ``, I'm including meta tags for charset and viewport, along with a title for the simulation. The CSS will define styles, like positioning for the canvas and max width for the app. I need to incorporate various control elements, buttons for starting and resetting the simulation, and a dedicated section for equations. All of this will be wrapped in a cohesive layout!**Designing control parameters**\n\nI’m setting up control parameters for the simulation. The initial values will be set for launch speed (v0), angle, initial height (y0), gravitational acceleration (g), and simulation speed. I’m thinking about air resistance but deciding to ignore it for simplicity, noting that \"sürtünme ihmal edilir\" (friction neglected). \n\nIn JavaScript, I'm creating input synchronization and binding functions for each control. It's crucial to ensure that number inputs can’t be empty and might be better updated on the \"change\" event instead of just on input for better user experience.**Computing trajectory calculations**\n\nI’m developing a function called `calcAt` to compute the trajectory. The angle needs to be converted to radians, and I’ll calculate horizontal (v0x) and vertical (v0y) velocity components. The discriminant will help evaluate the time of flight (T) and the range (R). \n\nIf the angle is set to 90 degrees, the range will be nearly zero, but I'll still map the x domain appropriately. The maximum x value must be calculated while handling vertical shots carefully. I also want to ensure the time slider is adjusted based on the calculated flight time. It's important that the y-coordinate doesn’t go negative due to rounding errors, adjusting the display if necessary!**Handling parameter changes and rendering**\n\nI’m implementing a feature to update parameters as they change. When the time slider is adjusted, I need to pause the simulation, parse the new value, and update the display accordingly. For playback, I’ve set up a loop function that will run as long as the simulation is active, updating the time continuously and drawing the updated state.\n\nIf the user changes parameters during playback, it’s important to reflect those changes, and I’ll reset time if it reaches the end before starting the simulation again. Also, it’s crucial to ensure high DPI for the canvas by resizing it according to the device pixel ratio!**Drawing the trajectory and visualization**\n\nI’m working on the drawing function to visualize the projectile motion. First, I define the margins and calculate the plot width and height based on those. Then, I determine the x and y maxima using `niceRange`, ensuring they adapt to the data.\n\nThe drawing includes creating a grid, axes, and a full trajectory path sampled over time. I want to highlight past paths with a bright color and accurately position the projectile with a circle. Additionally, I'll scale the velocity arrows proportionally to their magnitude and display them with computed vector directions. Clamping the y-values will ensure they stay within bounds!**Simplifying the drawing function**\n\nI’m streamlining the drawing of the projectile's trajectory, starting with the vector magnitude and determining the length of the arrows based on it. For the velocity components, I’ll calculate the unit vectors and get the end points for the arrows to draw them accordingly.\n\nAdditionally, I want to add reference points, like the starting point and maximum height, using dashed lines to show the current coordinates. Implementing a tooltip near the projectile will provide real-time data. I’ll also create nice tick intervals for the grid axes using `niceCeil`, ensuring everything is visually clear.**Rendering equations and formatting values**\n\nAlright, I’m thinking about how to set `xMax` and `yMax` values using niceCeil, which ensures a clean mapping. For displaying equations in the panel, I want to use `innerHTML` but also avoid any injection issues, so I’ll definitely stick to numbers only.\n\nI’ve got formatting figured out using `Intl.NumberFormat` for Turkish locale, ensuring values have the right decimal places. The function will return a nice representation of equations with labels, formulas, and actual values. I'll also include a panel that shows the components of initial velocity and the current time value.**Setting up variables and layout**\n\nI'm focusing on key variables like `v0`, `θ`, and `g`, and I'm thinking about how to create a variable table. I imagine this as a grid showing each variable with its value, which will help keep things organized.\n\nI also want to have a dedicated equation panel displaying both symbolic and numerical forms side by side. For the layout, I'll use a responsive grid to arrange these elements, ensuring that even on smaller screens, everything is displayed clearly without scrolling. The underlying equations will need to maintain mathematical accuracy, like using the projectile motion formula for `x(t)`.**Addressing flight time and angle constraints**\n\nI'm working on defining the equation for flight time to ground. For the equation \$ y(t) = y_0 + v_0 \\sin \\theta t - \\frac{1}{2} g t^2 \$, if I set \$ y_0 = 0 \$ and \$ v_0y = 0 \$ at an angle of 0 degrees, it leads to a problematic situation where \$ T = 0 \$, making it seem like the projectile hits the ground instantly. \n\nTo prevent this funky outcome, I’m considering setting a minimum flight time and angle. A minimum angle of 1 degree and a minimum flight time of 0.01 seconds can help maintain realistic simulations without odd behaviors. I want to ensure the user can’t set both to 0, to avoid confusion in the model.**Resolving time slider and projectile issues**\n\nI'm exploring the behavior of the time slider when the maximum is set to 0, which doesn't allow for any movement during playback. For an angle of 0 degrees, the projectile hits the ground instantly, which may confuse users. Instead of showing that, it might be better to set the time slider max to at least 0.01 seconds to avoid issues with time exceeding T.\n\nFor other cases, like an angle of 90 degrees, I see that \$ v_0x \$ and range approach zero, which isn't problematic. Also, I need to ensure that my calculations for peak time and maximum height make sense, while setting minimum values for variables like gravity, ensuring there's no division by zero.\n\nI think clamping negative height displays while keeping values within realistic bounds is the right approach for the simulation.**Handling rounding and resizing behavior**\n\nI'm considering the rounding issues, so I plan to clamp the value of \$ y \$ to zero if it's close enough to zero, like so: if \$ \\text{Math.abs}(y) < 1e-9 \$, then set \$ y = 0 \$. During calculation, I think it’s best to also check if \$ y < 0 \$ and adjust accordingly to keep it above a small threshold.\n\nAdditionally, I need to set up a window resize event listener to handle the resizing of the canvas. I’ll ensure that my resize function properly adjusts the canvas dimensions for different display resolutions. I should be cautious about avoiding double drawing when resizing, so I’ll call the draw function only once the resizing is finished.**Setting up input synchronization**\n\nI'm working on input synchronization for the controls configuration. Each parameter, like velocity (`v0`) and angle, needs a corresponding range and number input. In my setup function, I'll ensure that changes to either input type update the parameter values consistently.\n\nIf the user tries to clear the number input, it would return 0 due to `Number('')`, which is annoying. To handle this, I think I might want to check for empty or specific invalid cases in my handler. Ultimately, reestablishing a value with the `blur` event could be a nice touch to ensure robustness without being overly complicated.**Configuring the time slider**\n\nI'm setting up a time slider to control playback. When the slider's input changes, I want to stop playback and update the button state. I'm making sure to convert the slider value to a number for calculations.\n\nIn the `updateAll` function, I need to grab the computed data based on the current time (`t`). If the total time (`T`) is zero, I’ll set the slider maximum to zero and keep a very small step value. I should be cautious about clamping `t` if the parameters change and affect `T`. So, I might need to ensure that I compute the values before drawing to the canvas if data isn't passed.**Displaying stats and equations**\n\nFor the statistics display, I'm setting the text content using formatted data, like `${fmt(data.x)} m`. I want to include status messages like \"Yükseliyor\" or \"Alçalıyor\" based on the velocity. \n\nWhen rendering equations, I need to be precise, using the `fmt` function for formatting. I’m including subscripts (like v₀) and ensuring symbols are rendered correctly. For the drawing canvas, I need to apply a background color that enhances readability and consider a dark theme for better visual contrast.\n\nAs for coordinate mapping and drawing the trajectory, I'm implementing grid lines and axis labels thoughtfully to keep everything clear and organized while drawing points, vectors, and necessary labels for better understanding.**Adjusting the tooltip and sliders**\n\nI need to create a function for adjusting the tooltip’s position based on its width. If it exceeds the canvas width, I'll reposition it accordingly. I can include assumptions like \"Hava direnci yok; x₀=0; zemin y=0\" at the bottom of the canvas.\n\nFor the time slider, I want to set its max properly to avoid issues like it being capped at zero. I think I should use `Math.max(data.T, 0.001)` for the maximum value while ensuring the slider disables when T is too low. It seems I need to manage the disabled state of the play button based on the simulation's parameters. If the angle is zero and y0 is zero, it makes sense to disable the simulation controls.**Configuring controls and design**\n\nI’m considering including a message like \"Atışa başla\" to indicate when the simulation can start. If the total time is zero, I should disable the play button and update the status accordingly, but if the user is adjusting parameters, I need to update them to keep the controls responsive. \n\nFor accessibility, I want to keep labels clear without using external libraries. I'll compile the final output as plain HTML—avoiding excessive usage of `innerHTML` where possible. As for the CSS, I’m setting up a modern layout to make everything visually appealing while ensuring elements like equations are tidy and accessible. Placing equations in another column sounds like a good idea for better usability!**Designing a responsive layout**\n\nI’m thinking about organizing the layout into three columns: controls on the left, simulation in the center, and equations on the right. This setup would work well on larger screens with a grid like `grid-template-columns: 310px minmax(500px, 1fr) 420px`. \n\nFor smaller screens, I’d let the equations wrap below the simulation. The canvas size should be flexible, adjusting to a height of about 520px, and I could set the controls with clear labels and styles to enhance usability. Using grid for stats is a neat idea to maintain responsiveness too!**Styling equations and controls**\n\nI need to create a clean and interactive CSS layout for the equations. I’ll set up a grid for the variables with `.var-grid`, using two columns and some gaps. Each variable will have a background and flexible spacing. The equation lines also need proper padding and color coding for clarity, distinguishing between symbolic and numeric values.\n\nFor the simulation controls, I’ll use a flex layout, ensuring buttons are well-designed and responsive. I want to make sure the `timeSlider` fits nicely in its grid layout for a seamless user experience. It’s all about making the interactions enjoyable!**Writing JavaScript carefully**\n\nI’m setting up some initial parameters for the simulation, like starting velocity, angle, and height. I want to ensure that variables like time and whether the simulation is playing are clearly initialized.\n\nAlso, I’ll define the canvas to draw on, using a logical width and height. I should create a controls object to manage input values, including a way to display the current value for the velocity, probably with an ID like `v0Value`. It’s all about keeping things organized for user interaction!**Implementing JavaScript Functions**\n\nI'm detailing some JavaScript code to manage simulations effectively. The `updateControlLabels` function will update the screen to reflect the current parameter values, formatted nicely using the `fmt` function.\n\nThe formatting checks for non-finite values and provides a Turkish-style number format. The compute function calculates various physics-related outcomes, like position and velocity, based on parameters. \n\nI’ll ensure that the play button is disabled when necessary, avoiding disabling it when `T` equals zero, and I want to keep the user interface responsive and informative with clear labels and updates for stats and equations. Each component of the code needs to integrate smoothly!**Finalizing JavaScript and HTML Setup**\n\nI’m refining my JavaScript code and adding HTML elements to manage the simulation effectively. The `renderEquations` function outputs the current values and descriptive sections, ensuring it uses proper HTML formatting.\n\nIn the `draw` function, I’ll ensure resizing works with the `ResizeObserver`. Margins for the canvas will adapt to screen size. I'll also implement utility functions like `niceCeil` and `niceScale` for better tick management on the graphs.\n\nI'm finalizing user interaction elements, like buttons to navigate to key simulation points, ensuring they're correctly enabled or disabled based on simulation state, like peak or range.**Configuring Range and Number Inputs**\n\nI'm working on setting up the range and number input controls. The function processes the input, ensuring that it reads the value correctly from the user. If the input is empty or not a finite number, it just returns, which is good for preventing errors.\n\nI’m also making sure the value stays within configuration limits. Each input change updates the parameters and reflects the correct value in both the range and number fields. I noticed that the system resets a value to \"1\", which seems fine since the config isn't storing the value.**Defining Control Configurations**\n\nI'm setting up a `controlConfig` object to manage parameters like `v0`, specifying min and max values and a display function for formatted output. Each key in this config needs to be bound for functionality. I also want to create a `syncControls` function to synchronize values between the UI elements and the parameters. It’s crucial that during parameter changes, the UI reflects these updates smoothly.\n\nThe `onParamsChanged` and `updateTimeUI` functions will handle state changes when parameters are adjusted, with considerations for playing states during updates to prevent unintended pauses.**Rendering Equations and Final Code**\n\nI'm creating an `equationLine` function to format and display equations. To compute string values, I'll format parameters like angle and speed using the `fmt` function. I need to ensure that angle values and various equation components are calculated accurately. \n\nFor the final HTML output, I want to ensure it starts with `` and includes all necessary sections without external dependencies. \n\nI'll check for variable naming conflicts and ensure that code maintains security against injections. The final structure should be comprehensive yet not overly verbose.**Structuring the HTML Elements**\n\nI'm organizing the HTML elements necessary for the application. The `updateControlLabels` function will pull from element IDs, ensuring everything is connected. There's an `el` object to reference buttons and sliders for easier interaction.\n\nIn the header, I'll structure a clear title and a formula strip with static equations. The controls panel will include input options for parameters like initial speed. \n\nThen, I'll set up the canvas panel, ensuring the time slider is located at the bottom for easy access. I’ll also validate that all stats and labels are correctly represented.**Configuring the Equation Panel and CSS**\n\nI'm setting up the equation panel, which includes a dedicated section for displaying dynamic equations. The CSS needs to ensure the canvas isn't too large, and I'm thinking about using `backdrop-filter`, but maybe that won't be necessary.\n\nFor the canvas dimensions, I'm making it responsive so that it resizes nicely for different screen widths. My `init` function will bind controls, sync them, and set up buttons while also ensuring the canvas is the right size.\n\nThe `bindControls` function will connect form inputs for both range and number types, which means I’ll set up event listeners to adjust parameters accordingly. Finally, I'll make sure the updates are seamless!**Adjusting Control Syncing and Formatting**\n\nI'm realizing that the controls need to reset the number inputs appropriately as the user types. For my `syncControls`, I want to ensure that both the range and number inputs reflect the current parameters and then update the control labels accurately.\n\nIn the `updateControlLabels` function, I will ensure that the value is formatted correctly using a specific function that allows for minimum and maximum digits. I'll also handle cases where parameters might be unusually small or zero, which requires careful handling in the computations. Keeping everything clean will help avoid any confusing output during the drawing phase.**Handling Updates and Control Management**\n\nI'm considering how `R` can potentially be negative if the cosine of the angle is at 90 degrees, which is interesting. The update function is structured clearly: it computes values, updates control labels, manages the time UI, and renders stats. I have to ensure time handling is smooth, especially if `t` is invalid. \n\nThe time slider needs a proper maximum and step value, adjusting based on `d.T`. If the flight duration is almost nonexistent, I need to disable the buttons and change text to prompt the user to start the function with a friendly label like \"▶ Başlat.\"**Updating Stats and Rendering Equations**\n\nI need to ensure the stats and phase information update correctly. For `renderStats`, I check the flight conditions and set the phase accordingly: no flight, landed, starting, or reaching the peak. It’s important that the vertical velocity unit is not in the phase display.\n\nFor `renderEquations`, I’ll use `d.t` instead of the global `t`, and I'll consider showing the current phase in the equations section. The variables should display dynamic values properly, and I want the equation lines to reflect both the horizontal and vertical positions accurately with the correct mathematical representation.**Setting Up Velocity Formulas**\n\nI want to make sure the initial component group has the correct values for velocity. The horizontal velocity `vx` is calculated with `vₓ(t) = v₀ cosθ`, while the vertical velocity `vy` is given by `vᵧ(t) = v₀ sinθ − gt`. \n\nI'll also ensure that the total time `T` and other related variables are formatted correctly. It’s important to include the superscript for squared terms as `²` in the formulas for clarity. This should make the equations more readable and precise!**Implementing Canvas Drawing Functions**\n\nI'm working on rendering equations, statistics, and a canvas for trajectory visualization. The `equationLine` function helps format the display with symbolic and numeric values, including a potential ``.\n\nFor the canvas, I'm ensuring I correctly implement the `resizeCanvas` function, which calculates logical dimensions. The `draw` function needs to handle clearing, axis scaling, and applying margins effectively. It's also important to create grid lines and label the axes clearly.\n\nI'll manage the drawing of trajectories and velocity arrows with proper clipping and conditionals to ensure clarity and accuracy in representations. Keeping the canvas organized and ensuring precision will make the results intuitive!**Refining Axis Labels and Scaling**\n\nI'm thinking about the current labels for the axes and considering if a dashed projection would suffice. For the `drawTooltip` function, I need to ensure it uses `roundedRect` for better visuals.\n\nWhen using the `pointAt` function, I might run into negative y-values at T due to rounding; clamping the output during the draw function could help.\n\nNext, I'm focused on the `niceScale` function. I want to ensure the scaling works even if `maxValue` is 0, clamping to a minimal threshold like 1e-9 for consistency. The `axisFmt` function will help format the ticks properly. If the tick step is 2.5, it should display as \"2,5\".**Addressing Tooltip and JavaScript Preparation**\n\nI'm thinking about a potential issue when measuring text in `drawTooltip` regarding bold text — but I feel that should be manageable. \n\nFor the `roundedRect` function, I've got a solid implementation started. It should create a rounded rectangle perfectly!\n\nI also need to update the document once it’s loaded, so I’ll ensure the script is at the end of the HTML for that. I’m considering security restrictions within browsers, but it looks like I can proceed without issues.\n\nBefore finalizing everything, I’ll double-check for any syntax errors in the JavaScript code. I'll draft the full JS here step-by-step to ensure everything is clear and precise.**Refining Formatting Functions and Computation Logic**\n\nI'm working on the formatting functions, starting with `fmt` to format values with a specific number of digits. I’m checking if the value is finite using `Number.isFinite`. If it's not, it returns a placeholder.\n\nThere’s also `fmtFlex`, which should format values with a maximum number of digits for more flexible output. \n\nI need to ensure the `compute` function is solid too, calculating parameters based on angle, initial velocity, and other factors to ensure everything is well-defined. Using `Number.isFinite` can help verify the safety of values for calculations.**Computing Projectile Motion Parameters**\n\nI'm working on calculating the trajectory of a projectile in the `compute` function. First, I'm checking if the current time is finite and clamping it between 0 and the safe total time. \n\nI'm calculating the x position using the horizontal velocity and the clamped time, and I'm calculating the y position based on the initial height and the effects of gravity. If y becomes slightly negative, I correct it to zero. \n\nI also compute velocities, time to peak, maximum height, and the range of the projectile, ensuring that if the angle is 90 degrees, the horizontal component is effectively zero.**Updating Control Parameters**\n\nI'm refining the function for handling various projectile parameters. First, I’m ensuring the vertical velocity (`v0y`) is clean as needed. \n\nIn the `pointAt(time, d)` function, I'm calculating the x and y positions based on time and the respective velocities. The control synchronization function, `syncControls`, is updating both the range and number inputs based on user-adjustable parameters. I also implemented a `setParam` function to handle updates carefully, ensuring values stay within specified limits. \n\nLastly, I’m considering how to manage the play state when times reach the end of the simulation, allowing users to adjust parameters smoothly.**Managing Controls and State**\n\nI’m reinforcing the logic around time management for the simulation. I need to ensure if the calculated time (`d`) exceeds the max time (`d.T`), I clamp it to `d.T`. The play state changes when necessary, and if at time zero, it will stop automatically and update the play button accordingly.\n\nThe `bindControls` function links parameters to HTML inputs. The setup for buttons handles playing state, resetting time, and adjusting through a slider. \n\nIt’s crucial to avoid unnecessary updates when the state hasn't changed, especially concerning the play button, which should only trigger actions when needed.**Updating the Animation and UI**\n\nI’m dealing with setting up the play button changes based on whether the animation is playing or paused. The text content reflects the state, so it switches between \"Pause\" and \"Play.\"\n\nIn the `animationLoop`, I want to ensure that if the tab becomes inactive and `delta` becomes excessive, it won’t jump forward unexpectedly. The `update` function is where the core updates happen: it recalculates time, adjusts control labels, updates the UI, and handles rendering. \n\nIf the computed time indicates no flight, it should automatically stop the playing state. I need to be careful with how `setPlaying(false)` interacts with `updateTimeUI`, as this might lead to redundant updates of the play button.**Managing Flight States and Rendering Stats**\n\nI’m checking the flight state, specifically when there's no flight and if the animation is playing; I want to ensure that I stop it without causing recursion. If there’s no flight, the play button is disabled, but it should update to state \"Play\" when appropriate. \n\nIn `renderStats`, I'm setting the y-position to zero if it's negative. \n\nThe `phase` function categorizes different states, considering factors like time in the air and vertical velocity. I also want to format angles properly when rendering equations, ensuring they display correctly in HTML and taking care not to have any unclosed tags.**Defining Variable Display and Drawing Logic**\n\nFirst, I'm defining a function for creating a variable card layout that displays the symbol, label, and value neatly. The small CSS class for the label is already in place, so that's good.\n\nNext is the `equationLine` function, which is structured to show an equation's title, symbolic representation, and numerical value.\n\nNow, in the `draw` function implementation, I set up the canvas dimensions and margins. I want to ensure that the x-value is adequately managed, particularly if it's exceeding the maximum value. Additionally, I’m utilizing top-level functions like `niceScale`, `niceStep`, and `axisFmt` in my drawing process for smoother scaling and formatting.**Implementing the Background and Grid Drawing**\n\nI'm starting by setting up the background with a gradient that goes from a deep blue at the top to a darker shade at the bottom, which should give it a nice visual depth. \n\nNext, I need to draw a rounded rectangle for the plot background. I'll make sure to set the fill and stroke styles correctly.\n\nFor the grid lines, I'm using a loop that creates vertical lines within the plot area without clipping, ensuring each line has labels positioned correctly below. I’ll also apply a similar approach for the horizontal grid lines, ensuring everything aligns well with `groundY`, which represents the bottom of the plot.**Drawing Axes and Trajectory**\n\nI'm planning to draw the axes after creating the grid. I'll set the stroke style to a light gray, then draw the vertical and horizontal lines for the axes from the defined margins to the ground level.\n\nFor the axis labels, I need to set the text color to a lighter shade and adjust the alignment for the x-axis label to the right. The y-axis label will be rotated for alignment. \n\nNext, I’ll clip the drawing area to plot the trajectory properly. I should create a helper function called `tracePath` within my draw function to manage this. I'll ensure that small circles indicating trajectory points are drawn within the clipped area.**Marking Key Points on the Plot**\n\nI'm tackling the current projections by setting up the calculations for the Y position based on `d.y`. I'll convert the x and y values to their respective scaled positions on the plot. I want to create dashed lines to represent the current values on the graph. \n\nNext, I'll use the `circleOnPlot` function to mark key points like the start, peak, and range. For the start, I can use a green marker and position the label accordingly, especially if it's at the bottom. I'll also make sure to handle cases where the peak might overlap with the starting point. \n\nFor the range, if the range `R` is greater than 0, I'll mark it properly too. After this, I will draw the projectile with a shadow effect, and I need to define a `drawCircle` function to manage the circle drawing. I'll probably define `sx` before I clip to ensure smooth executions!**Defining Vectors and Tooltips**\n\nI’m thinking about defining some elements before clipping in the canvas. To draw the vectors, I want to start by drawing the total vector before the components. The function `drawArrow` will help me with this. \n\nAfter that, I need to implement the tooltip using `drawTooltip`, which takes canvas dimensions along with the margin. Regarding the canvas note about air resistance and other details, I’d like to place it below the x-axis labels to avoid overlap. The groundY calculations are important for positioning everything correctly, so I want to avoid clutter in that area. I also need to define `drawCircle` beforehand!**Hoisting and Function Definitions**\n\nI see that the function declarations are hoisted, which is good! \n\nStarting with `roundedRect`, I can define it without conflicting with `ctx.roundRect`. That keeps things tidy. Next, I've got `drawArrow`, which takes parameters for the start and end coordinates, color, and label. I calculate the length of the arrow and the angle, then save the context to draw the arrow.\n\nFor the label positioning, I’ll center it and place it a bit away from the end of the arrow. I’m considering whether I might need a background for the label, but I think I’ll skip that for now!**Implementing Tooltip Logic**\n\nI’m focusing on the fill color, which is good to finalize! Now, for `drawTooltip`, I’ve got the function structure that prepares to display text. I’m determining its width and height based on the lines of text.\n\nI need to adjust the position of the tooltip so it doesn’t go off-screen. Using a `clamp` function would be useful here to keep the tooltip within bounds. I’ll make sure to define how `clamp` operates efficiently, especially regarding minimum and maximum values. It sounds like I’m on the right path!**Refining Functions and Styles**\n\nEverything seems fine so far! I’ve defined the `niceStep` function and it looks good. Next, I’m working on the `axisFmt` function, which formats axis values based on their size. I realized that for smaller tick values, like 0.25, I might want to allow for two decimal digits instead of one. \n\nSetting `maxDigits` to 2 for values under 10 seems like a solid improvement. I also need to ensure that trailing zeros are handled well in `fmtFlex`. As I wrap things up, I’m looking into adding some CSS for button styles and input fields. This is feeling cohesive!**Finalizing CSS Styles**\n\nI need to add `accent-color: var(--accent);` to my styles. For the `number-line`, I'm thinking of a layout with a flex display, aligning items and adding some gap for better spacing. The input fields will take up the available space efficiently. \n\nFor the `time-control`, I want to ensure it can be flexible, maintaining a minimum width for usability. The title of `canvas-panel` has been structured to look nice with flex properties. I'm finalizing all styles without external scripts and planning to present the final output as pure HTML for the app. Let's get this done!","reasoning_details":[{"type":"reasoning.summary","summary":"**Creating slider controls**\n\nI need to construct controls with both range and number inputs visible. I’ll build control rows that feature a slider and a number display, attaching listeners to sync their values. In the HTML, I want to ensure I keep it simple, without relying on external libraries. I might consider using Unicode Greek characters for representing angles and equations while converting degrees to radians. The equation panel will need to include various parameters too.**Developing dynamic equations**\n\nI’m working on a set of equations for a simulation, such as x(t) = x₀ + v₀ cosθ · t and y(t) = y₀ + v₀ sinθ · t - 1/2 g t². I need to make these dynamic, maybe by including a \"Start Motion\" button to toggle the simulation and synchronize the equations with user movements. There could be a potential issue with how responses are rendered in a browser. Since no external libraries will be used, I plan to output raw HTML to ensure proper functionality.**Planning HTML output**\n\nI’m realizing that the final response should be in full HTML format, not just a code block. The developer mentioned that it needs to render properly in a web browser. I should include the complete HTML within the same output, without mentioning anything about iframes. Since no external libraries will be used, I can create a simple inline script. I’ll need to plan the implementation in detail to make sure everything works seamlessly!**Structuring the HTML implementation**\n\nI'm outlining an important and robust implementation with a clear HTML structure. It starts with a `` declaration and sets the language to Turkish. In the ``, I'm including meta tags for charset and viewport, along with a title for the simulation. The CSS will define styles, like positioning for the canvas and max width for the app. I need to incorporate various control elements, buttons for starting and resetting the simulation, and a dedicated section for equations. All of this will be wrapped in a cohesive layout!**Designing control parameters**\n\nI’m setting up control parameters for the simulation. The initial values will be set for launch speed (v0), angle, initial height (y0), gravitational acceleration (g), and simulation speed. I’m thinking about air resistance but deciding to ignore it for simplicity, noting that \"sürtünme ihmal edilir\" (friction neglected). \n\nIn JavaScript, I'm creating input synchronization and binding functions for each control. It's crucial to ensure that number inputs can’t be empty and might be better updated on the \"change\" event instead of just on input for better user experience.**Computing trajectory calculations**\n\nI’m developing a function called `calcAt` to compute the trajectory. The angle needs to be converted to radians, and I’ll calculate horizontal (v0x) and vertical (v0y) velocity components. The discriminant will help evaluate the time of flight (T) and the range (R). \n\nIf the angle is set to 90 degrees, the range will be nearly zero, but I'll still map the x domain appropriately. The maximum x value must be calculated while handling vertical shots carefully. I also want to ensure the time slider is adjusted based on the calculated flight time. It's important that the y-coordinate doesn’t go negative due to rounding errors, adjusting the display if necessary!**Handling parameter changes and rendering**\n\nI’m implementing a feature to update parameters as they change. When the time slider is adjusted, I need to pause the simulation, parse the new value, and update the display accordingly. For playback, I’ve set up a loop function that will run as long as the simulation is active, updating the time continuously and drawing the updated state.\n\nIf the user changes parameters during playback, it’s important to reflect those changes, and I’ll reset time if it reaches the end before starting the simulation again. Also, it’s crucial to ensure high DPI for the canvas by resizing it according to the device pixel ratio!**Drawing the trajectory and visualization**\n\nI’m working on the drawing function to visualize the projectile motion. First, I define the margins and calculate the plot width and height based on those. Then, I determine the x and y maxima using `niceRange`, ensuring they adapt to the data.\n\nThe drawing includes creating a grid, axes, and a full trajectory path sampled over time. I want to highlight past paths with a bright color and accurately position the projectile with a circle. Additionally, I'll scale the velocity arrows proportionally to their magnitude and display them with computed vector directions. Clamping the y-values will ensure they stay within bounds!**Simplifying the drawing function**\n\nI’m streamlining the drawing of the projectile's trajectory, starting with the vector magnitude and determining the length of the arrows based on it. For the velocity components, I’ll calculate the unit vectors and get the end points for the arrows to draw them accordingly.\n\nAdditionally, I want to add reference points, like the starting point and maximum height, using dashed lines to show the current coordinates. Implementing a tooltip near the projectile will provide real-time data. I’ll also create nice tick intervals for the grid axes using `niceCeil`, ensuring everything is visually clear.**Rendering equations and formatting values**\n\nAlright, I’m thinking about how to set `xMax` and `yMax` values using niceCeil, which ensures a clean mapping. For displaying equations in the panel, I want to use `innerHTML` but also avoid any injection issues, so I’ll definitely stick to numbers only.\n\nI’ve got formatting figured out using `Intl.NumberFormat` for Turkish locale, ensuring values have the right decimal places. The function will return a nice representation of equations with labels, formulas, and actual values. I'll also include a panel that shows the components of initial velocity and the current time value.**Setting up variables and layout**\n\nI'm focusing on key variables like `v0`, `θ`, and `g`, and I'm thinking about how to create a variable table. I imagine this as a grid showing each variable with its value, which will help keep things organized.\n\nI also want to have a dedicated equation panel displaying both symbolic and numerical forms side by side. For the layout, I'll use a responsive grid to arrange these elements, ensuring that even on smaller screens, everything is displayed clearly without scrolling. The underlying equations will need to maintain mathematical accuracy, like using the projectile motion formula for `x(t)`.**Addressing flight time and angle constraints**\n\nI'm working on defining the equation for flight time to ground. For the equation \$ y(t) = y_0 + v_0 \\sin \\theta t - \\frac{1}{2} g t^2 \$, if I set \$ y_0 = 0 \$ and \$ v_0y = 0 \$ at an angle of 0 degrees, it leads to a problematic situation where \$ T = 0 \$, making it seem like the projectile hits the ground instantly. \n\nTo prevent this funky outcome, I’m considering setting a minimum flight time and angle. A minimum angle of 1 degree and a minimum flight time of 0.01 seconds can help maintain realistic simulations without odd behaviors. I want to ensure the user can’t set both to 0, to avoid confusion in the model.**Resolving time slider and projectile issues**\n\nI'm exploring the behavior of the time slider when the maximum is set to 0, which doesn't allow for any movement during playback. For an angle of 0 degrees, the projectile hits the ground instantly, which may confuse users. Instead of showing that, it might be better to set the time slider max to at least 0.01 seconds to avoid issues with time exceeding T.\n\nFor other cases, like an angle of 90 degrees, I see that \$ v_0x \$ and range approach zero, which isn't problematic. Also, I need to ensure that my calculations for peak time and maximum height make sense, while setting minimum values for variables like gravity, ensuring there's no division by zero.\n\nI think clamping negative height displays while keeping values within realistic bounds is the right approach for the simulation.**Handling rounding and resizing behavior**\n\nI'm considering the rounding issues, so I plan to clamp the value of \$ y \$ to zero if it's close enough to zero, like so: if \$ \\text{Math.abs}(y) < 1e-9 \$, then set \$ y = 0 \$. During calculation, I think it’s best to also check if \$ y < 0 \$ and adjust accordingly to keep it above a small threshold.\n\nAdditionally, I need to set up a window resize event listener to handle the resizing of the canvas. I’ll ensure that my resize function properly adjusts the canvas dimensions for different display resolutions. I should be cautious about avoiding double drawing when resizing, so I’ll call the draw function only once the resizing is finished.**Setting up input synchronization**\n\nI'm working on input synchronization for the controls configuration. Each parameter, like velocity (`v0`) and angle, needs a corresponding range and number input. In my setup function, I'll ensure that changes to either input type update the parameter values consistently.\n\nIf the user tries to clear the number input, it would return 0 due to `Number('')`, which is annoying. To handle this, I think I might want to check for empty or specific invalid cases in my handler. Ultimately, reestablishing a value with the `blur` event could be a nice touch to ensure robustness without being overly complicated.**Configuring the time slider**\n\nI'm setting up a time slider to control playback. When the slider's input changes, I want to stop playback and update the button state. I'm making sure to convert the slider value to a number for calculations.\n\nIn the `updateAll` function, I need to grab the computed data based on the current time (`t`). If the total time (`T`) is zero, I’ll set the slider maximum to zero and keep a very small step value. I should be cautious about clamping `t` if the parameters change and affect `T`. So, I might need to ensure that I compute the values before drawing to the canvas if data isn't passed.**Displaying stats and equations**\n\nFor the statistics display, I'm setting the text content using formatted data, like `${fmt(data.x)} m`. I want to include status messages like \"Yükseliyor\" or \"Alçalıyor\" based on the velocity. \n\nWhen rendering equations, I need to be precise, using the `fmt` function for formatting. I’m including subscripts (like v₀) and ensuring symbols are rendered correctly. For the drawing canvas, I need to apply a background color that enhances readability and consider a dark theme for better visual contrast.\n\nAs for coordinate mapping and drawing the trajectory, I'm implementing grid lines and axis labels thoughtfully to keep everything clear and organized while drawing points, vectors, and necessary labels for better understanding.**Adjusting the tooltip and sliders**\n\nI need to create a function for adjusting the tooltip’s position based on its width. If it exceeds the canvas width, I'll reposition it accordingly. I can include assumptions like \"Hava direnci yok; x₀=0; zemin y=0\" at the bottom of the canvas.\n\nFor the time slider, I want to set its max properly to avoid issues like it being capped at zero. I think I should use `Math.max(data.T, 0.001)` for the maximum value while ensuring the slider disables when T is too low. It seems I need to manage the disabled state of the play button based on the simulation's parameters. If the angle is zero and y0 is zero, it makes sense to disable the simulation controls.**Configuring controls and design**\n\nI’m considering including a message like \"Atışa başla\" to indicate when the simulation can start. If the total time is zero, I should disable the play button and update the status accordingly, but if the user is adjusting parameters, I need to update them to keep the controls responsive. \n\nFor accessibility, I want to keep labels clear without using external libraries. I'll compile the final output as plain HTML—avoiding excessive usage of `innerHTML` where possible. As for the CSS, I’m setting up a modern layout to make everything visually appealing while ensuring elements like equations are tidy and accessible. Placing equations in another column sounds like a good idea for better usability!**Designing a responsive layout**\n\nI’m thinking about organizing the layout into three columns: controls on the left, simulation in the center, and equations on the right. This setup would work well on larger screens with a grid like `grid-template-columns: 310px minmax(500px, 1fr) 420px`. \n\nFor smaller screens, I’d let the equations wrap below the simulation. The canvas size should be flexible, adjusting to a height of about 520px, and I could set the controls with clear labels and styles to enhance usability. Using grid for stats is a neat idea to maintain responsiveness too!**Styling equations and controls**\n\nI need to create a clean and interactive CSS layout for the equations. I’ll set up a grid for the variables with `.var-grid`, using two columns and some gaps. Each variable will have a background and flexible spacing. The equation lines also need proper padding and color coding for clarity, distinguishing between symbolic and numeric values.\n\nFor the simulation controls, I’ll use a flex layout, ensuring buttons are well-designed and responsive. I want to make sure the `timeSlider` fits nicely in its grid layout for a seamless user experience. It’s all about making the interactions enjoyable!**Writing JavaScript carefully**\n\nI’m setting up some initial parameters for the simulation, like starting velocity, angle, and height. I want to ensure that variables like time and whether the simulation is playing are clearly initialized.\n\nAlso, I’ll define the canvas to draw on, using a logical width and height. I should create a controls object to manage input values, including a way to display the current value for the velocity, probably with an ID like `v0Value`. It’s all about keeping things organized for user interaction!**Implementing JavaScript Functions**\n\nI'm detailing some JavaScript code to manage simulations effectively. The `updateControlLabels` function will update the screen to reflect the current parameter values, formatted nicely using the `fmt` function.\n\nThe formatting checks for non-finite values and provides a Turkish-style number format. The compute function calculates various physics-related outcomes, like position and velocity, based on parameters. \n\nI’ll ensure that the play button is disabled when necessary, avoiding disabling it when `T` equals zero, and I want to keep the user interface responsive and informative with clear labels and updates for stats and equations. Each component of the code needs to integrate smoothly!**Finalizing JavaScript and HTML Setup**\n\nI’m refining my JavaScript code and adding HTML elements to manage the simulation effectively. The `renderEquations` function outputs the current values and descriptive sections, ensuring it uses proper HTML formatting.\n\nIn the `draw` function, I’ll ensure resizing works with the `ResizeObserver`. Margins for the canvas will adapt to screen size. I'll also implement utility functions like `niceCeil` and `niceScale` for better tick management on the graphs.\n\nI'm finalizing user interaction elements, like buttons to navigate to key simulation points, ensuring they're correctly enabled or disabled based on simulation state, like peak or range.**Configuring Range and Number Inputs**\n\nI'm working on setting up the range and number input controls. The function processes the input, ensuring that it reads the value correctly from the user. If the input is empty or not a finite number, it just returns, which is good for preventing errors.\n\nI’m also making sure the value stays within configuration limits. Each input change updates the parameters and reflects the correct value in both the range and number fields. I noticed that the system resets a value to \"1\", which seems fine since the config isn't storing the value.**Defining Control Configurations**\n\nI'm setting up a `controlConfig` object to manage parameters like `v0`, specifying min and max values and a display function for formatted output. Each key in this config needs to be bound for functionality. I also want to create a `syncControls` function to synchronize values between the UI elements and the parameters. It’s crucial that during parameter changes, the UI reflects these updates smoothly.\n\nThe `onParamsChanged` and `updateTimeUI` functions will handle state changes when parameters are adjusted, with considerations for playing states during updates to prevent unintended pauses.**Rendering Equations and Final Code**\n\nI'm creating an `equationLine` function to format and display equations. To compute string values, I'll format parameters like angle and speed using the `fmt` function. I need to ensure that angle values and various equation components are calculated accurately. \n\nFor the final HTML output, I want to ensure it starts with `` and includes all necessary sections without external dependencies. \n\nI'll check for variable naming conflicts and ensure that code maintains security against injections. The final structure should be comprehensive yet not overly verbose.**Structuring the HTML Elements**\n\nI'm organizing the HTML elements necessary for the application. The `updateControlLabels` function will pull from element IDs, ensuring everything is connected. There's an `el` object to reference buttons and sliders for easier interaction.\n\nIn the header, I'll structure a clear title and a formula strip with static equations. The controls panel will include input options for parameters like initial speed. \n\nThen, I'll set up the canvas panel, ensuring the time slider is located at the bottom for easy access. I’ll also validate that all stats and labels are correctly represented.**Configuring the Equation Panel and CSS**\n\nI'm setting up the equation panel, which includes a dedicated section for displaying dynamic equations. The CSS needs to ensure the canvas isn't too large, and I'm thinking about using `backdrop-filter`, but maybe that won't be necessary.\n\nFor the canvas dimensions, I'm making it responsive so that it resizes nicely for different screen widths. My `init` function will bind controls, sync them, and set up buttons while also ensuring the canvas is the right size.\n\nThe `bindControls` function will connect form inputs for both range and number types, which means I’ll set up event listeners to adjust parameters accordingly. Finally, I'll make sure the updates are seamless!**Adjusting Control Syncing and Formatting**\n\nI'm realizing that the controls need to reset the number inputs appropriately as the user types. For my `syncControls`, I want to ensure that both the range and number inputs reflect the current parameters and then update the control labels accurately.\n\nIn the `updateControlLabels` function, I will ensure that the value is formatted correctly using a specific function that allows for minimum and maximum digits. I'll also handle cases where parameters might be unusually small or zero, which requires careful handling in the computations. Keeping everything clean will help avoid any confusing output during the drawing phase.**Handling Updates and Control Management**\n\nI'm considering how `R` can potentially be negative if the cosine of the angle is at 90 degrees, which is interesting. The update function is structured clearly: it computes values, updates control labels, manages the time UI, and renders stats. I have to ensure time handling is smooth, especially if `t` is invalid. \n\nThe time slider needs a proper maximum and step value, adjusting based on `d.T`. If the flight duration is almost nonexistent, I need to disable the buttons and change text to prompt the user to start the function with a friendly label like \"▶ Başlat.\"**Updating Stats and Rendering Equations**\n\nI need to ensure the stats and phase information update correctly. For `renderStats`, I check the flight conditions and set the phase accordingly: no flight, landed, starting, or reaching the peak. It’s important that the vertical velocity unit is not in the phase display.\n\nFor `renderEquations`, I’ll use `d.t` instead of the global `t`, and I'll consider showing the current phase in the equations section. The variables should display dynamic values properly, and I want the equation lines to reflect both the horizontal and vertical positions accurately with the correct mathematical representation.**Setting Up Velocity Formulas**\n\nI want to make sure the initial component group has the correct values for velocity. The horizontal velocity `vx` is calculated with `vₓ(t) = v₀ cosθ`, while the vertical velocity `vy` is given by `vᵧ(t) = v₀ sinθ − gt`. \n\nI'll also ensure that the total time `T` and other related variables are formatted correctly. It’s important to include the superscript for squared terms as `²` in the formulas for clarity. This should make the equations more readable and precise!**Implementing Canvas Drawing Functions**\n\nI'm working on rendering equations, statistics, and a canvas for trajectory visualization. The `equationLine` function helps format the display with symbolic and numeric values, including a potential ``.\n\nFor the canvas, I'm ensuring I correctly implement the `resizeCanvas` function, which calculates logical dimensions. The `draw` function needs to handle clearing, axis scaling, and applying margins effectively. It's also important to create grid lines and label the axes clearly.\n\nI'll manage the drawing of trajectories and velocity arrows with proper clipping and conditionals to ensure clarity and accuracy in representations. Keeping the canvas organized and ensuring precision will make the results intuitive!**Refining Axis Labels and Scaling**\n\nI'm thinking about the current labels for the axes and considering if a dashed projection would suffice. For the `drawTooltip` function, I need to ensure it uses `roundedRect` for better visuals.\n\nWhen using the `pointAt` function, I might run into negative y-values at T due to rounding; clamping the output during the draw function could help.\n\nNext, I'm focused on the `niceScale` function. I want to ensure the scaling works even if `maxValue` is 0, clamping to a minimal threshold like 1e-9 for consistency. The `axisFmt` function will help format the ticks properly. If the tick step is 2.5, it should display as \"2,5\".**Addressing Tooltip and JavaScript Preparation**\n\nI'm thinking about a potential issue when measuring text in `drawTooltip` regarding bold text — but I feel that should be manageable. \n\nFor the `roundedRect` function, I've got a solid implementation started. It should create a rounded rectangle perfectly!\n\nI also need to update the document once it’s loaded, so I’ll ensure the script is at the end of the HTML for that. I’m considering security restrictions within browsers, but it looks like I can proceed without issues.\n\nBefore finalizing everything, I’ll double-check for any syntax errors in the JavaScript code. I'll draft the full JS here step-by-step to ensure everything is clear and precise.**Refining Formatting Functions and Computation Logic**\n\nI'm working on the formatting functions, starting with `fmt` to format values with a specific number of digits. I’m checking if the value is finite using `Number.isFinite`. If it's not, it returns a placeholder.\n\nThere’s also `fmtFlex`, which should format values with a maximum number of digits for more flexible output. \n\nI need to ensure the `compute` function is solid too, calculating parameters based on angle, initial velocity, and other factors to ensure everything is well-defined. Using `Number.isFinite` can help verify the safety of values for calculations.**Computing Projectile Motion Parameters**\n\nI'm working on calculating the trajectory of a projectile in the `compute` function. First, I'm checking if the current time is finite and clamping it between 0 and the safe total time. \n\nI'm calculating the x position using the horizontal velocity and the clamped time, and I'm calculating the y position based on the initial height and the effects of gravity. If y becomes slightly negative, I correct it to zero. \n\nI also compute velocities, time to peak, maximum height, and the range of the projectile, ensuring that if the angle is 90 degrees, the horizontal component is effectively zero.**Updating Control Parameters**\n\nI'm refining the function for handling various projectile parameters. First, I’m ensuring the vertical velocity (`v0y`) is clean as needed. \n\nIn the `pointAt(time, d)` function, I'm calculating the x and y positions based on time and the respective velocities. The control synchronization function, `syncControls`, is updating both the range and number inputs based on user-adjustable parameters. I also implemented a `setParam` function to handle updates carefully, ensuring values stay within specified limits. \n\nLastly, I’m considering how to manage the play state when times reach the end of the simulation, allowing users to adjust parameters smoothly.**Managing Controls and State**\n\nI’m reinforcing the logic around time management for the simulation. I need to ensure if the calculated time (`d`) exceeds the max time (`d.T`), I clamp it to `d.T`. The play state changes when necessary, and if at time zero, it will stop automatically and update the play button accordingly.\n\nThe `bindControls` function links parameters to HTML inputs. The setup for buttons handles playing state, resetting time, and adjusting through a slider. \n\nIt’s crucial to avoid unnecessary updates when the state hasn't changed, especially concerning the play button, which should only trigger actions when needed.**Updating the Animation and UI**\n\nI’m dealing with setting up the play button changes based on whether the animation is playing or paused. The text content reflects the state, so it switches between \"Pause\" and \"Play.\"\n\nIn the `animationLoop`, I want to ensure that if the tab becomes inactive and `delta` becomes excessive, it won’t jump forward unexpectedly. The `update` function is where the core updates happen: it recalculates time, adjusts control labels, updates the UI, and handles rendering. \n\nIf the computed time indicates no flight, it should automatically stop the playing state. I need to be careful with how `setPlaying(false)` interacts with `updateTimeUI`, as this might lead to redundant updates of the play button.**Managing Flight States and Rendering Stats**\n\nI’m checking the flight state, specifically when there's no flight and if the animation is playing; I want to ensure that I stop it without causing recursion. If there’s no flight, the play button is disabled, but it should update to state \"Play\" when appropriate. \n\nIn `renderStats`, I'm setting the y-position to zero if it's negative. \n\nThe `phase` function categorizes different states, considering factors like time in the air and vertical velocity. I also want to format angles properly when rendering equations, ensuring they display correctly in HTML and taking care not to have any unclosed tags.**Defining Variable Display and Drawing Logic**\n\nFirst, I'm defining a function for creating a variable card layout that displays the symbol, label, and value neatly. The small CSS class for the label is already in place, so that's good.\n\nNext is the `equationLine` function, which is structured to show an equation's title, symbolic representation, and numerical value.\n\nNow, in the `draw` function implementation, I set up the canvas dimensions and margins. I want to ensure that the x-value is adequately managed, particularly if it's exceeding the maximum value. Additionally, I’m utilizing top-level functions like `niceScale`, `niceStep`, and `axisFmt` in my drawing process for smoother scaling and formatting.**Implementing the Background and Grid Drawing**\n\nI'm starting by setting up the background with a gradient that goes from a deep blue at the top to a darker shade at the bottom, which should give it a nice visual depth. \n\nNext, I need to draw a rounded rectangle for the plot background. I'll make sure to set the fill and stroke styles correctly.\n\nFor the grid lines, I'm using a loop that creates vertical lines within the plot area without clipping, ensuring each line has labels positioned correctly below. I’ll also apply a similar approach for the horizontal grid lines, ensuring everything aligns well with `groundY`, which represents the bottom of the plot.**Drawing Axes and Trajectory**\n\nI'm planning to draw the axes after creating the grid. I'll set the stroke style to a light gray, then draw the vertical and horizontal lines for the axes from the defined margins to the ground level.\n\nFor the axis labels, I need to set the text color to a lighter shade and adjust the alignment for the x-axis label to the right. The y-axis label will be rotated for alignment. \n\nNext, I’ll clip the drawing area to plot the trajectory properly. I should create a helper function called `tracePath` within my draw function to manage this. I'll ensure that small circles indicating trajectory points are drawn within the clipped area.**Marking Key Points on the Plot**\n\nI'm tackling the current projections by setting up the calculations for the Y position based on `d.y`. I'll convert the x and y values to their respective scaled positions on the plot. I want to create dashed lines to represent the current values on the graph. \n\nNext, I'll use the `circleOnPlot` function to mark key points like the start, peak, and range. For the start, I can use a green marker and position the label accordingly, especially if it's at the bottom. I'll also make sure to handle cases where the peak might overlap with the starting point. \n\nFor the range, if the range `R` is greater than 0, I'll mark it properly too. After this, I will draw the projectile with a shadow effect, and I need to define a `drawCircle` function to manage the circle drawing. I'll probably define `sx` before I clip to ensure smooth executions!**Defining Vectors and Tooltips**\n\nI’m thinking about defining some elements before clipping in the canvas. To draw the vectors, I want to start by drawing the total vector before the components. The function `drawArrow` will help me with this. \n\nAfter that, I need to implement the tooltip using `drawTooltip`, which takes canvas dimensions along with the margin. Regarding the canvas note about air resistance and other details, I’d like to place it below the x-axis labels to avoid overlap. The groundY calculations are important for positioning everything correctly, so I want to avoid clutter in that area. I also need to define `drawCircle` beforehand!**Hoisting and Function Definitions**\n\nI see that the function declarations are hoisted, which is good! \n\nStarting with `roundedRect`, I can define it without conflicting with `ctx.roundRect`. That keeps things tidy. Next, I've got `drawArrow`, which takes parameters for the start and end coordinates, color, and label. I calculate the length of the arrow and the angle, then save the context to draw the arrow.\n\nFor the label positioning, I’ll center it and place it a bit away from the end of the arrow. I’m considering whether I might need a background for the label, but I think I’ll skip that for now!**Implementing Tooltip Logic**\n\nI’m focusing on the fill color, which is good to finalize! Now, for `drawTooltip`, I’ve got the function structure that prepares to display text. I’m determining its width and height based on the lines of text.\n\nI need to adjust the position of the tooltip so it doesn’t go off-screen. Using a `clamp` function would be useful here to keep the tooltip within bounds. I’ll make sure to define how `clamp` operates efficiently, especially regarding minimum and maximum values. It sounds like I’m on the right path!**Refining Functions and Styles**\n\nEverything seems fine so far! I’ve defined the `niceStep` function and it looks good. Next, I’m working on the `axisFmt` function, which formats axis values based on their size. I realized that for smaller tick values, like 0.25, I might want to allow for two decimal digits instead of one. \n\nSetting `maxDigits` to 2 for values under 10 seems like a solid improvement. I also need to ensure that trailing zeros are handled well in `fmtFlex`. As I wrap things up, I’m looking into adding some CSS for button styles and input fields. This is feeling cohesive!**Finalizing CSS Styles**\n\nI need to add `accent-color: var(--accent);` to my styles. For the `number-line`, I'm thinking of a layout with a flex display, aligning items and adding some gap for better spacing. The input fields will take up the available space efficiently. \n\nFor the `time-control`, I want to ensure it can be flexible, maintaining a minimum width for usability. The title of `canvas-panel` has been structured to look nice with flex properties. I'm finalizing all styles without external scripts and planning to present the final output as pure HTML for the app. Let's get this done!","format":"openai-responses-v1","index":0},{"type":"reasoning.encrypted","data":"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