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@seberg
Last active November 27, 2019 18:45
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Assessing the NumPy namespace

Downloading both files and running the cells (takes a while) should give you drop downs with the NumPy namespace (dark green names should be the ones that end up in the main numpy namespace).

After clicking one of them, tab will go to the next, and 1, 2, 3 , and 4 will allow to fairly quickly choose how you feel about the function. I left many blank (at least the ones that are not part of the main namespace). Then you press "save" and after gathering a few of them, maybe we can get some nice result out of the data.

Unfortunately the Jupyter widgets are failry slow, although with the keyboard it was not an issue for me.

My take on the categories:

  1. Core: Functions that are core to numpy, many functions in Minimal may be written based on the core implementations.
  2. Minimal: Minimal set of features that library authors may expect a numpy-like library to implement.
  3. Full: Functions that are useful, but often more utilities around a more Minimal set.
  4. Discouraged: Functions we might even remove (or at least rename) did we have the choice.
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import numpy\n",
"\n",
"from IPython.display import *\n",
"import ipywidgets as widgets\n",
"from ipywidgets import *\n",
"\n",
"import importlib\n",
"\n",
"import html"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"if True:\n",
" import yaml\n",
" # load from cache file\n",
" with open(\"numpy_api_by_module.yaml\", \"r\") as f:\n",
" by_mod = yaml.load(f, Loader=yaml.loader.BaseLoader)\n",
"\n",
"else:\n",
" # Code that generates the list on a new enough NumPy:\n",
" import pkgutil\n",
" import importlib\n",
" import yaml\n",
" import numpy\n",
" from numpy.tests import test_public_api as pa\n",
"\n",
" modnames = []\n",
" ignored_modnames = set()\n",
" for _, modname, ispkg in pkgutil.walk_packages(path=np.__path__,\n",
" prefix=np.__name__ + '.',\n",
" onerror=None):\n",
" if modname in pa.SKIP_LIST_2:\n",
" ignored_modnames.add(modname)\n",
" continue\n",
" \n",
" if modname in pa.PUBLIC_MODULES or modname in pa.PRIVATE_BUT_PRESENT_MODULES:\n",
" modnames.append(modname)\n",
" continue\n",
"\n",
" ignored_modnames.add(modname)\n",
" \n",
" modnames.append(\"numpy\")\n",
" # Add methods explicitely\n",
" modnames.append(\"Array Methods\")\n",
" modnames.append(\"DType Methods\")\n",
" modnames = sorted([m.split(\".\") for m in modnames], key=lambda x: (len(x), x))[::-1]\n",
" modnames = [\".\".join(m) for m in modnames]\n",
" \n",
" main_namespace = set(id(obj) for obj in numpy.__dict__.values())\n",
" main_namespace_names = numpy.__dict__.keys()\n",
" \n",
" \n",
" import __future__\n",
" import builtins\n",
" \n",
" # Ignore a few things that definitely do not come from numpy:\n",
" base_symbols = [id(s) for s in __future__.__dict__.values()]\n",
" base_symbols += [id(s) for s in builtins.__dict__.values()]\n",
" base_symbols = set(base_symbols)\n",
" all_symbols = set()\n",
" all_names = set()\n",
" \n",
" by_mod = {}\n",
" for mod_name in modnames:\n",
" by_mod[mod_name] = []\n",
" if mod_name == \"Array Methods\":\n",
" module = numpy.ndarray\n",
" elif mod_name == \"DType Methods\":\n",
" module = numpy.dtype\n",
" else:\n",
" module = importlib.import_module(mod_name)\n",
"\n",
" all_symbols.add(id(module))\n",
"\n",
" if \"distutils\" in mod_name:\n",
" continue\n",
" if \"tests\" in mod_name:\n",
" continue\n",
" \n",
" if not hasattr(module, \"__all__\"):\n",
" mod_symbs = dir(module)\n",
" else:\n",
" mod_symbs = module.__all__\n",
" \n",
" for sym in mod_symbs:\n",
" try:\n",
" sym_obj = getattr(module, sym)\n",
" except AttributeError as e:\n",
" # We seem to have some incorrect (at least digitize...)\n",
" print(e)\n",
" continue\n",
" sym_id = id(sym_obj)\n",
" \n",
" if sym_id in base_symbols:\n",
" continue\n",
" if callable(sym_obj):\n",
" if sym_id in all_symbols:\n",
" continue\n",
" else:\n",
" if sym in all_names:\n",
" continue\n",
" if sym.startswith(\"_\"):\n",
" continue\n",
" if mod_name + \".\" + sym in modnames:\n",
" continue\n",
" if mod_name + \".\" + sym in ignored_modnames:\n",
" continue\n",
" try:\n",
" if sym_obj in sys.modules.v|alues():\n",
" continue\n",
" except:\n",
" pass\n",
" \n",
" is_in_np_namespace = (\n",
" sym_id in main_namespace or \n",
" (not callable(sym_obj) and sym in main_namespace_names))\n",
" \n",
" by_mod[mod_name].append((sym, is_in_np_namespace))\n",
" all_symbols.add(sym_id)\n",
" all_names.add(sym)\n",
" \n",
" with open(\"numpy_api_by_module.yaml\", \"w\") as f:\n",
" f.write(yaml.dump(by_mod))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"modules = sorted(by_mod)\n",
"# Unlike above, sort alphabetically here:\n",
"modules = sorted([m.split(\".\") for m in modules], key=lambda x: x)[::-1]\n",
"modules = [\".\".join(m) for m in modules]\n",
"modules = modules[::-1]\n",
"\n",
"mod_hboxes = []\n",
"mod_hbox_names = []\n",
"\n",
"layout = Layout(width='300px')\n",
"\n",
"label_main = \"\"\"<span title=\"{doc}\"> <b><font color='darkgreen'>{text}</font></b></span>\"\"\"\n",
"label_not_main = \"\"\"<span title=\"{doc}\"> <b><font color='black'>{text}</font></b></span>\"\"\"\n",
"\n",
"all_dropdowns = {}\n",
"\n",
"IGNORE = [\".f2py\", \".compat\", \"core.overrides\", \".lapack_lite\", \".print_coercion_table\"]\n",
"\n",
"def ignore_module(mod):\n",
" for i in IGNORE:\n",
" if i in mod:\n",
" return True\n",
" return False\n",
"\n",
"for mod in modules:\n",
" symbols = sorted(by_mod[mod])\n",
" dropdowns = []\n",
" \n",
" if ignore_module(mod):\n",
" continue\n",
" \n",
" if mod == \"Array Methods\":\n",
" module = numpy.ndarray\n",
" elif mod == \"DType Methods\":\n",
" module = numpy.dtype\n",
" else:\n",
" try:\n",
" module = importlib.import_module(mod)\n",
" except:\n",
" # Lets not fail if there is a numpy version mismatch.\n",
" module = None\n",
"\n",
" for sym, main_namespace in symbols:\n",
" # There was some oops, while saving, just fix it here:\n",
" if main_namespace == \"true\":\n",
" main_namespace = True\n",
" elif main_namespace == \"false\":\n",
" main_namespace = False\n",
"\n",
" full_name = mod + \".\" + sym\n",
"\n",
" try:\n",
" doc = getattr(module, sym).__doc__\n",
" except:\n",
" doc = \"Documentation not found\"\n",
" if doc is None:\n",
" doc = \"<None>\"\n",
" \n",
" # remove \"numpy.\" from name\n",
" name = \".\".join(full_name.split(\".\")[1:])\n",
" \n",
" label = label_main if main_namespace else label_not_main\n",
" label = HTML(value=label.format(text=name, doc=html.escape(doc)), layout=layout)\n",
"\n",
" w = widgets.Dropdown(\n",
" options=[\"1 – core\", \"2 – minimal\", \"3 – full\", \" 4 – discouraged\", \"\"],\n",
" name=full_name,\n",
" value=\"\")\n",
" \n",
" dropdowns.append(widgets.HBox([label, w]))\n",
" \n",
" all_dropdowns[full_name] = w\n",
" \n",
" if len(dropdowns) == 0:\n",
" continue\n",
" hbox = widgets.VBox(dropdowns)\n",
" mod_hboxes.append(hbox)\n",
" mod_hbox_names.append(mod)\n",
"\n",
"\n",
"def save(_=None):\n",
" with open(\"namespace_result.txt\", \"w\") as f:\n",
" for drop in all_dropdowns.values():\n",
" f.write(\"{}\\t{}\\n\".format(drop.name, drop.value))\n",
"\n",
"def load(_=None):\n",
" with open(\"namespace_result.txt\", \"r\") as f:\n",
" for line in f:\n",
" line = line.strip(\"\\n\")\n",
" name, val = line.split(\"\\t\")\n",
" if name not in all_dropdowns:\n",
" print(\"Skipping:\", name, \"... It has vanished\")\n",
" continue\n",
" widget = all_dropdowns[name]\n",
" if widget.value == val:\n",
" continue\n",
" print(\"Updating:\", name, \"\\tto\", val)\n",
" widget.set_trait(\"value\", val)\n",
" \n",
"accordion = widgets.Accordion(children=mod_hboxes)\n",
"for i, mod in enumerate(mod_hbox_names):\n",
" accordion.set_title(i, mod)\n",
"\n",
"save_button = widgets.Button(description=\"Save\")\n",
"load_button = widgets.Button(description=\"Load\")\n",
" \n",
"save_button.on_click(save)\n",
"load_button.on_click(load)\n",
"\n",
"widgets.VBox([widgets.HBox([save_button, load_button]), accordion])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Run save() if you forgot to save! (or load() to load manyually)\n",
"# save()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Array Methods:
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- T
- false
- !!python/tuple
- all
- false
- !!python/tuple
- any
- false
- !!python/tuple
- argmax
- false
- !!python/tuple
- argmin
- false
- !!python/tuple
- argpartition
- false
- !!python/tuple
- argsort
- false
- !!python/tuple
- astype
- false
- !!python/tuple
- byteswap
- false
- !!python/tuple
- choose
- false
- !!python/tuple
- clip
- false
- !!python/tuple
- compress
- false
- !!python/tuple
- conj
- false
- !!python/tuple
- conjugate
- false
- !!python/tuple
- copy
- false
- !!python/tuple
- ctypes
- false
- !!python/tuple
- cumprod
- false
- !!python/tuple
- cumsum
- false
- !!python/tuple
- data
- false
- !!python/tuple
- diagonal
- false
- !!python/tuple
- dot
- false
- !!python/tuple
- dump
- false
- !!python/tuple
- dumps
- false
- !!python/tuple
- fill
- false
- !!python/tuple
- flat
- false
- !!python/tuple
- flatten
- false
- !!python/tuple
- getfield
- false
- !!python/tuple
- item
- false
- !!python/tuple
- itemset
- false
- !!python/tuple
- max
- false
- !!python/tuple
- mean
- false
- !!python/tuple
- min
- false
- !!python/tuple
- newbyteorder
- false
- !!python/tuple
- nonzero
- false
- !!python/tuple
- partition
- false
- !!python/tuple
- prod
- false
- !!python/tuple
- ptp
- false
- !!python/tuple
- put
- false
- !!python/tuple
- ravel
- false
- !!python/tuple
- repeat
- false
- !!python/tuple
- reshape
- false
- !!python/tuple
- resize
- false
- !!python/tuple
- round
- false
- !!python/tuple
- searchsorted
- false
- !!python/tuple
- setfield
- false
- !!python/tuple
- setflags
- false
- !!python/tuple
- sort
- false
- !!python/tuple
- squeeze
- false
- !!python/tuple
- std
- false
- !!python/tuple
- strides
- false
- !!python/tuple
- sum
- false
- !!python/tuple
- swapaxes
- false
- !!python/tuple
- take
- false
- !!python/tuple
- tobytes
- false
- !!python/tuple
- tofile
- false
- !!python/tuple
- tolist
- false
- !!python/tuple
- tostring
- false
- !!python/tuple
- trace
- false
- !!python/tuple
- transpose
- false
- !!python/tuple
- var
- false
- !!python/tuple
- view
- false
DType Methods:
- !!python/tuple
- alignment
- false
- !!python/tuple
- base
- false
- !!python/tuple
- byteorder
- false
- !!python/tuple
- char
- true
- !!python/tuple
- descr
- false
- !!python/tuple
- fields
- false
- !!python/tuple
- flags
- false
- !!python/tuple
- hasobject
- false
- !!python/tuple
- isalignedstruct
- false
- !!python/tuple
- isbuiltin
- false
- !!python/tuple
- isnative
- false
- !!python/tuple
- itemsize
- false
- !!python/tuple
- kind
- false
- !!python/tuple
- metadata
- false
- !!python/tuple
- name
- false
- !!python/tuple
- names
- false
- !!python/tuple
- newbyteorder
- false
- !!python/tuple
- num
- false
- !!python/tuple
- str
- true
- !!python/tuple
- subdtype
- false
- !!python/tuple
- type
- false
numpy: []
numpy.compat:
- !!python/tuple
- formatargspec
- false
numpy.compat.py3k:
- !!python/tuple
- asbytes
- false
- !!python/tuple
- isfileobj
- false
- !!python/tuple
- getexception
- false
- !!python/tuple
- strchar
- false
- !!python/tuple
- asunicode
- false
- !!python/tuple
- asbytes_nested
- false
- !!python/tuple
- asunicode_nested
- false
- !!python/tuple
- asstr
- false
- !!python/tuple
- open_latin1
- false
- !!python/tuple
- sixu
- false
- !!python/tuple
- integer_types
- false
- !!python/tuple
- is_pathlib_path
- false
- !!python/tuple
- npy_load_module
- false
- !!python/tuple
- Path
- false
- !!python/tuple
- contextlib_nullcontext
- false
- !!python/tuple
- os_fspath
- false
- !!python/tuple
- os_PathLike
- false
numpy.conftest:
- !!python/tuple
- add_np
- false
- !!python/tuple
- check_fpu_mode
- false
- !!python/tuple
- get_fpu_mode
- false
- !!python/tuple
- pytest_configure
- false
- !!python/tuple
- pytest_itemcollected
- false
numpy.core: []
numpy.core.arrayprint: []
numpy.core.defchararray:
- !!python/tuple
- equal
- false
- !!python/tuple
- not_equal
- false
- !!python/tuple
- greater_equal
- false
- !!python/tuple
- less_equal
- false
- !!python/tuple
- greater
- false
- !!python/tuple
- less
- false
- !!python/tuple
- str_len
- false
- !!python/tuple
- add
- false
- !!python/tuple
- multiply
- false
- !!python/tuple
- mod
- false
- !!python/tuple
- capitalize
- false
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- false
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- false
- !!python/tuple
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- false
- !!python/tuple
- index
- false
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- isalnum
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- isalpha
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- false
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- false
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- false
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- false
- !!python/tuple
- replace
- false
- !!python/tuple
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- false
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- zfill
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- isnumeric
- false
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- isdecimal
- false
- !!python/tuple
- array
- false
- !!python/tuple
- asarray
- false
numpy.core.einsumfunc:
- !!python/tuple
- einsum
- true
- !!python/tuple
- einsum_path
- true
numpy.core.fromnumeric: []
numpy.core.function_base:
- !!python/tuple
- logspace
- true
- !!python/tuple
- linspace
- true
- !!python/tuple
- geomspace
- true
numpy.core.getlimits:
- !!python/tuple
- finfo
- true
- !!python/tuple
- iinfo
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numpy.core.machar:
- !!python/tuple
- MachAr
- true
numpy.core.memmap:
- !!python/tuple
- memmap
- true
numpy.core.multiarray:
- !!python/tuple
- DATETIMEUNITS
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- ITEM_HASOBJECT
- true
- !!python/tuple
- ITEM_IS_POINTER
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- LIST_PICKLE
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- dragon4_positional
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- dragon4_scientific
- false
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- flagsobj
- false
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- format_longfloat
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- interp
- false
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- interp_complex
- false
- !!python/tuple
- normalize_axis_index
- false
- !!python/tuple
- scalar
- false
- !!python/tuple
- set_datetimeparse_function
- false
- !!python/tuple
- set_legacy_print_mode
- false
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- set_typeDict
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- false
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- tracemalloc_domain
- true
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numpy.core.numeric:
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- false
- !!python/tuple
- IgnoreException
- false
- !!python/tuple
- clear_and_catch_warnings
- false
- !!python/tuple
- SkipTest
- false
- !!python/tuple
- KnownFailureException
- false
- !!python/tuple
- temppath
- false
- !!python/tuple
- tempdir
- false
- !!python/tuple
- suppress_warnings
- false
- !!python/tuple
- assert_array_compare
- false
- !!python/tuple
- assert_no_gc_cycles
- false
numpy.version:
- !!python/tuple
- full_version
- true
- !!python/tuple
- git_revision
- true
- !!python/tuple
- short_version
- false
- !!python/tuple
- version
- true
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