Don't depend on ipython

Author: xl0

lovely_numpy/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.2.15"
+__version__ = "0.2.16"
 
 from .repr_str import *
 from .repr_rgb import *

lovely_numpy/repr_chans.py

@@ -8,7 +8,6 @@
 
 import numpy as np
 from matplotlib import axes, figure, pyplot as plt
-from IPython.core.pylabtools import print_figure
 
 from .repr_rgb import fig_rgb, rgb
 from .utils.colormap import InfCmap, get_cmap
@@ -92,6 +91,7 @@ def fig(self) -> figure.Figure:
         return fig_chans(self.x, **self.params)
 
     def _repr_png_(self):
+        from IPython.core.pylabtools import print_figure
         return print_figure(self.fig, fmt="png", pad_inches=0,
             metadata={"Software": "Matplotlib, https://matplotlib.org/"})
 

lovely_numpy/repr_plt.py

@@ -9,7 +9,6 @@
 
 import numpy as np
 from matplotlib import pyplot as plt, axes, figure, rc_context
-from IPython.core.pylabtools import print_figure
 
 from .repr_str import lovely, pretty_str
 from .utils import get_config, config
@@ -282,6 +281,7 @@ def fig(self) -> figure.Figure:
         return fig_plot( self.x, **self.params)
 
     def _repr_png_(self):
+        from IPython.core.pylabtools import print_figure
         return print_figure(self.fig, fmt="png",
             metadata={"Software": "Matplotlib, https://matplotlib.org/"})
 
@@ -291,6 +291,7 @@ def _repr_svg_(self):
             "Date": None,
             "Creator": "Matplotlib, https://matplotlib.org/",
         }
+        from IPython.core.pylabtools import print_figure
         with rc_context({"svg.hashsalt": "1"}):
             svg_repr = print_figure(self.fig, fmt="svg", metadata=metadata)
         return svg_repr

lovely_numpy/repr_rgb.py

@@ -4,13 +4,10 @@
 __all__ = ['rgb']
 
 # %% ../nbs/01_repr_rgb.ipynb
-from typing import Union, Any, Optional as O
+from typing import Any, Optional as O
 
 import numpy as np
-from matplotlib import pyplot as plt, axes, figure, rcParams
-from IPython.core.pylabtools import print_figure
-
-
+from matplotlib import pyplot as plt, axes, figure
 from .utils.tile2d import hypertile
 from .utils.utils import cached_property
 from .utils import get_config
@@ -110,6 +107,7 @@ def fig(self) -> figure.Figure:
         return fig_rgb(self.x, **self.params)
 
     def _repr_png_(self):
+        from IPython.core.pylabtools import print_figure
         return print_figure(self.fig, fmt="png", pad_inches=0,
             metadata={"Software": "Matplotlib, https://matplotlib.org/"})
 

nbs/01_repr_rgb.ipynb

@@ -36,13 +36,10 @@
    "source": [
     "# |export\n",
     "# |hide\n",
-    "from typing import Union, Any, Optional as O\n",
+    "from typing import Any, Optional as O\n",
     "\n",
     "import numpy as np\n",
-    "from matplotlib import pyplot as plt, axes, figure, rcParams\n",
-    "from IPython.core.pylabtools import print_figure\n",
-    "\n",
-    "\n",
+    "from matplotlib import pyplot as plt, axes, figure\n",
     "from lovely_numpy.utils.tile2d import hypertile\n",
     "from lovely_numpy.utils.utils import cached_property\n",
     "from lovely_numpy.utils import get_config"
@@ -192,6 +189,7 @@
     "        return fig_rgb(self.x, **self.params)\n",
     "\n",
     "    def _repr_png_(self):\n",
+    "        from IPython.core.pylabtools import print_figure\n",
     "        return print_figure(self.fig, fmt=\"png\", pad_inches=0,\n",
     "            metadata={\"Software\": \"Matplotlib, https://matplotlib.org/\"})"
    ]

nbs/02_repr_plt.ipynb

@@ -40,7 +40,6 @@
     "\n",
     "import numpy as np\n",
     "from matplotlib import pyplot as plt, axes, figure, rc_context\n",
-    "from IPython.core.pylabtools import print_figure\n",
     "\n",
     "from lovely_numpy.repr_str import lovely, pretty_str\n",
     "from lovely_numpy.utils import get_config, config\n",
@@ -401,6 +400,7 @@
     "        return fig_plot( self.x, **self.params)\n",
     "\n",
     "    def _repr_png_(self):\n",
+    "        from IPython.core.pylabtools import print_figure\n",
     "        return print_figure(self.fig, fmt=\"png\",\n",
     "            metadata={\"Software\": \"Matplotlib, https://matplotlib.org/\"})\n",
     "\n",
@@ -410,6 +410,7 @@
     "            \"Date\": None,\n",
     "            \"Creator\": \"Matplotlib, https://matplotlib.org/\",\n",
     "        }\n",
+    "        from IPython.core.pylabtools import print_figure\n",
     "        with rc_context({\"svg.hashsalt\": \"1\"}):\n",
     "            svg_repr = print_figure(self.fig, fmt=\"svg\", metadata=metadata)\n",
     "        return svg_repr"

nbs/03_utils.utils.ipynb

@@ -419,7 +419,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_179604/2880814502.py:5: UserWarning: IPYthon has its output cache enabled. See https://xl0.github.io/lovely-tensors/history.html\n",
+      "/tmp/ipykernel_303317/2880814502.py:5: UserWarning: IPYthon has its output cache enabled. See https://xl0.github.io/lovely-tensors/history.html\n",
       "  warnings.warn(\"IPYthon has its output cache enabled. See https://xl0.github.io/lovely-tensors/history.html\")\n"
      ]
     }

nbs/05_repr_chans.ipynb

@@ -40,7 +40,6 @@
     "\n",
     "import numpy as np\n",
     "from matplotlib import axes, figure, pyplot as plt\n",
-    "from IPython.core.pylabtools import print_figure\n",
     "\n",
     "from lovely_numpy.repr_rgb import fig_rgb, rgb\n",
     "from lovely_numpy.utils.colormap import InfCmap, get_cmap\n",
@@ -139,6 +138,7 @@
     "        return fig_chans(self.x, **self.params)\n",
     "\n",
     "    def _repr_png_(self):\n",
+    "        from IPython.core.pylabtools import print_figure\n",
     "        return print_figure(self.fig, fmt=\"png\", pad_inches=0,\n",
     "            metadata={\"Software\": \"Matplotlib, https://matplotlib.org/\"})\n"
    ]

settings.ini

@@ -5,7 +5,7 @@
 ### Python library ###
 repo = lovely-numpy
 lib_name = lovely-numpy
-version = 0.2.15
+version = 0.2.16
 min_python = 3.7
 license = MIT
 
@@ -42,8 +42,8 @@ conda_maintainers = xl0 sugatoray
 conda_description = %(description)s
 
 ### Optional ###
-requirements = numpy>=1.17 fastcore ipython
+requirements = numpy>=1.17 fastcore
 pip_requirements = matplotlib
 conda_requirements = matplotlib-base
-dev_requirements = scipy
+dev_requirements = scipy ipython
 # console_scripts =