✨ Chart config auto-refresh + bugfixes 🐛

Before, chart customization was done by creating a new Psychrochart object based on some modified chart configuration,
so creating custom plots, or even changing chart limits, was challenging 😓

Now, when chart.config changes, any call to chart.save(), chart.make_svg(), or chart.plot()
will regenerate the chart data (limits, enabled curves, styling, etc.) before plotting, with only the visible curves inside limits,
(no more 0-size artifacts in SVGs, and most errors because some var is out of range should be gone now 🤞)

Changes

• ♻️ Update example notebook with API changes, and using chart.make_svg() as the recommended method to generate SVGs
• 💄 Parse colors into RGBA values, so "red", "#FF0000", "#FF0000FF" produce the same float repr [1., 0., 0., 1.]
• 🏗️ Add mutation control for configuration models, and use it to check if there is any config change before creating a chart, triggering a chart-data regeneration if necessary
• 🔧 Add new field ChartFigure.dpi to chart config, for easy customization of matplotlib Figure DPI
• ⚡️ Optimize generation of psychrometric curves inside plot limits
• 🐛 Fix convergence and var-out-of-range errors
• 💥 Remove plotting methods from PsychroCurve/PsychroCurves for a more functional approach, using methods in plot_logic.py
• 💥 Add PsychroCurve.internal_value field, to identify the trigger value for each curve (constant H/V/RH...), and evolve validation of data arrays
• ✅ tests: Increase test coverage and optimize tests for faster run (~2x)
• 📦️ env: Add slugify to deps and bump version