Assessing the NumPy namespace

README.md

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.

namespace.ipynb

{
 "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
}

numpy_api_by_module.yaml

Array Methods:
- !!python/tuple
  - 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
- !!python/tuple
  - center
  - false
- !!python/tuple
  - count
  - false
- !!python/tuple
  - decode
  - false
- !!python/tuple
  - encode
  - false
- !!python/tuple
  - endswith
  - false
- !!python/tuple
  - expandtabs
  - false
- !!python/tuple
  - find
  - false
- !!python/tuple
  - index
  - false
- !!python/tuple
  - isalnum
  - false
- !!python/tuple
  - isalpha
  - false
- !!python/tuple
  - isdigit
  - false
- !!python/tuple
  - islower
  - false
- !!python/tuple
  - isspace
  - false
- !!python/tuple
  - istitle
  - false
- !!python/tuple
  - isupper
  - false
- !!python/tuple
  - join
  - false
- !!python/tuple
  - ljust
  - false
- !!python/tuple
  - lower
  - false
- !!python/tuple
  - lstrip
  - false
- !!python/tuple
  - partition
  - false
- !!python/tuple
  - replace
  - false
- !!python/tuple
  - rfind
  - false
- !!python/tuple
  - rindex
  - false
- !!python/tuple
  - rjust
  - false
- !!python/tuple
  - rpartition
  - false
- !!python/tuple
  - rsplit
  - false
- !!python/tuple
  - rstrip
  - false
- !!python/tuple
  - split
  - false
- !!python/tuple
  - splitlines
  - false
- !!python/tuple
  - startswith
  - false
- !!python/tuple
  - strip
  - false
- !!python/tuple
  - swapcase
  - false
- !!python/tuple
  - title
  - false
- !!python/tuple
  - translate
  - false
- !!python/tuple
  - upper
  - false
- !!python/tuple
  - zfill
  - false
- !!python/tuple
  - isnumeric
  - false
- !!python/tuple
  - 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
  - true
numpy.core.machar:
- !!python/tuple
  - MachAr
  - true
numpy.core.memmap:
- !!python/tuple
  - memmap
  - true
numpy.core.multiarray:
- !!python/tuple
  - DATETIMEUNITS
  - false
- !!python/tuple
  - ITEM_HASOBJECT
  - true
- !!python/tuple
  - ITEM_IS_POINTER
  - true
- !!python/tuple
  - LIST_PICKLE
  - true
- !!python/tuple
  - NEEDS_INIT
  - true
- !!python/tuple
  - USE_GETITEM
  - true
- !!python/tuple
  - USE_SETITEM
  - false
- !!python/tuple
  - correlate
  - false
- !!python/tuple
  - correlate2
  - false
- !!python/tuple
  - count_nonzero
  - false
- !!python/tuple
  - c_einsum
  - false
- !!python/tuple
  - dragon4_positional
  - false
- !!python/tuple
  - dragon4_scientific
  - false
- !!python/tuple
  - flagsobj
  - false
- !!python/tuple
  - format_longfloat
  - false
- !!python/tuple
  - interp
  - false
- !!python/tuple
  - 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
- !!python/tuple
  - set_string_function
  - false
- !!python/tuple
  - set_typeDict
  - false
- !!python/tuple
  - test_interrupt
  - false
- !!python/tuple
  - tracemalloc_domain
  - true
- !!python/tuple
  - typeinfo
  - false
numpy.core.numeric:
- !!python/tuple
  - ndarray
  - true
- !!python/tuple
  - flatiter
  - true
- !!python/tuple
  - nditer
  - true
- !!python/tuple
  - nested_iters
  - true
- !!python/tuple
  - ufunc
  - true
- !!python/tuple
  - zeros
  - true
- !!python/tuple
  - count_nonzero
  - true
- !!python/tuple
  - empty
  - true
- !!python/tuple
  - broadcast
  - true
- !!python/tuple
  - dtype
  - true
- !!python/tuple
  - fromstring
  - true
- !!python/tuple
  - fromfile
  - true
- !!python/tuple
  - frombuffer
  - true
- !!python/tuple
  - int_asbuffer
  - true
- !!python/tuple
  - where
  - true
- !!python/tuple
  - argwhere
  - true
- !!python/tuple
  - copyto
  - true
- !!python/tuple
  - concatenate
  - true
- !!python/tuple
  - fastCopyAndTranspose
  - true
- !!python/tuple
  - lexsort
  - true
- !!python/tuple
  - set_numeric_ops
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numpy.doc.internals: []
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numpy.doc.structured_arrays: []
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- !!python/tuple
  - bitwise_and
  - true
- !!python/tuple
  - bitwise_or
  - true
- !!python/tuple
  - bitwise_xor
  - true
- !!python/tuple
  - container
  - false
- !!python/tuple
  - divide
  - true
- !!python/tuple
  - equal
  - true
- !!python/tuple
  - greater
  - true
- !!python/tuple
  - greater_equal
  - true
- !!python/tuple
  - invert
  - true
- !!python/tuple
  - left_shift
  - true
- !!python/tuple
  - less
  - true
- !!python/tuple
  - less_equal
  - true
- !!python/tuple
  - multiply
  - true
- !!python/tuple
  - not_equal
  - true
- !!python/tuple
  - power
  - true
- !!python/tuple
  - remainder
  - true
- !!python/tuple
  - reshape
  - true
- !!python/tuple
  - right_shift
  - true
- !!python/tuple
  - shape
  - true
- !!python/tuple
  - sin
  - true
- !!python/tuple
  - sqrt
  - true
- !!python/tuple
  - subtract
  - true
- !!python/tuple
  - transpose
  - true
numpy.lib.utils:
- !!python/tuple
  - issubclass_
  - true
- !!python/tuple
  - issubsctype
  - true
- !!python/tuple
  - issubdtype
  - true
- !!python/tuple
  - deprecate
  - true
- !!python/tuple
  - deprecate_with_doc
  - true
- !!python/tuple
  - get_include
  - true
- !!python/tuple
  - info
  - true
- !!python/tuple
  - source
  - true
- !!python/tuple
  - who
  - true
- !!python/tuple
  - lookfor
  - true
- !!python/tuple
  - byte_bounds
  - true
- !!python/tuple
  - safe_eval
  - true
numpy.linalg:
- !!python/tuple
  - test
  - false
numpy.linalg.lapack_lite:
- !!python/tuple
  - LapackError
  - false
- !!python/tuple
  - dgelsd
  - false
- !!python/tuple
  - dgeqrf
  - false
- !!python/tuple
  - dorgqr
  - false
- !!python/tuple
  - xerbla
  - false
- !!python/tuple
  - zgelsd
  - false
- !!python/tuple
  - zgeqrf
  - false
- !!python/tuple
  - zungqr
  - false
numpy.linalg.linalg:
- !!python/tuple
  - matrix_power
  - false
- !!python/tuple
  - solve
  - false
- !!python/tuple
  - tensorsolve
  - false
- !!python/tuple
  - tensorinv
  - false
- !!python/tuple
  - inv
  - false
- !!python/tuple
  - cholesky
  - false
- !!python/tuple
  - eigvals
  - false
- !!python/tuple
  - eigvalsh
  - false
- !!python/tuple
  - pinv
  - false
- !!python/tuple
  - slogdet
  - false
- !!python/tuple
  - det
  - false
- !!python/tuple
  - svd
  - false
- !!python/tuple
  - eig
  - false
- !!python/tuple
  - eigh
  - false
- !!python/tuple
  - lstsq
  - false
- !!python/tuple
  - norm
  - false
- !!python/tuple
  - qr
  - false
- !!python/tuple
  - cond
  - false
- !!python/tuple
  - matrix_rank
  - false
- !!python/tuple
  - LinAlgError
  - false
- !!python/tuple
  - multi_dot
  - false
numpy.ma: []
numpy.ma.bench:
- !!python/tuple
  - compare_functions_1v
  - false
- !!python/tuple
  - compare_functions_2v
  - false
- !!python/tuple
  - compare_methods
  - false
- !!python/tuple
  - m1
  - false
- !!python/tuple
  - m2
  - false
- !!python/tuple
  - maskx
  - false
- !!python/tuple
  - masky
  - false
- !!python/tuple
  - nmxl
  - false
- !!python/tuple
  - nmxs
  - false
- !!python/tuple
  - nmyl
  - false
- !!python/tuple
  - nmys
  - false
- !!python/tuple
  - nmzl
  - false
- !!python/tuple
  - nmzs
  - false
- !!python/tuple
  - timer
  - false
- !!python/tuple
  - xl
  - false
- !!python/tuple
  - xs
  - false
- !!python/tuple
  - yl
  - false
- !!python/tuple
  - ys
  - false
- !!python/tuple
  - zl
  - false
- !!python/tuple
  - zs
  - false
numpy.ma.core:
- !!python/tuple
  - MAError
  - false
- !!python/tuple
  - MaskError
  - false
- !!python/tuple
  - MaskType
  - true
- !!python/tuple
  - MaskedArray
  - false
- !!python/tuple
  - abs
  - false
- !!python/tuple
  - add
  - false
- !!python/tuple
  - all
  - false
- !!python/tuple
  - allclose
  - false
- !!python/tuple
  - allequal
  - false
- !!python/tuple
  - alltrue
  - false
- !!python/tuple
  - amax
  - true
- !!python/tuple
  - amin
  - true
- !!python/tuple
  - angle
  - false
- !!python/tuple
  - anom
  - false
- !!python/tuple
  - any
  - false
- !!python/tuple
  - append
  - false
- !!python/tuple
  - arange
  - false
- !!python/tuple
  - arccos
  - false
- !!python/tuple
  - arccosh
  - false
- !!python/tuple
  - arcsin
  - false
- !!python/tuple
  - arcsinh
  - false
- !!python/tuple
  - arctan
  - false
- !!python/tuple
  - arctan2
  - false
- !!python/tuple
  - arctanh
  - false
- !!python/tuple
  - argmax
  - false
- !!python/tuple
  - argmin
  - false
- !!python/tuple
  - argsort
  - false
- !!python/tuple
  - around
  - false
- !!python/tuple
  - array
  - false
- !!python/tuple
  - asanyarray
  - false
- !!python/tuple
  - asarray
  - false
- !!python/tuple
  - bitwise_and
  - false
- !!python/tuple
  - bitwise_or
  - false
- !!python/tuple
  - bitwise_xor
  - false
- !!python/tuple
  - ceil
  - false
- !!python/tuple
  - choose
  - false
- !!python/tuple
  - clip
  - true
- !!python/tuple
  - common_fill_value
  - false
- !!python/tuple
  - compress
  - false
- !!python/tuple
  - compressed
  - false
- !!python/tuple
  - concatenate
  - false
- !!python/tuple
  - conjugate
  - false
- !!python/tuple
  - convolve
  - false
- !!python/tuple
  - copy
  - false
- !!python/tuple
  - correlate
  - false
- !!python/tuple
  - cos
  - false
- !!python/tuple
  - cosh
  - false
- !!python/tuple
  - count
  - false
- !!python/tuple
  - cumprod
  - false
- !!python/tuple
  - cumsum
  - false
- !!python/tuple
  - default_fill_value
  - false
- !!python/tuple
  - diag
  - false
- !!python/tuple
  - diagonal
  - false
- !!python/tuple
  - diff
  - true
- !!python/tuple
  - divide
  - false
- !!python/tuple
  - empty
  - false
- !!python/tuple
  - empty_like
  - false
- !!python/tuple
  - equal
  - false
- !!python/tuple
  - exp
  - false
- !!python/tuple
  - expand_dims
  - true
- !!python/tuple
  - fabs
  - false
- !!python/tuple
  - filled
  - false
- !!python/tuple
  - fix_invalid
  - false
- !!python/tuple
  - flatten_mask
  - false
- !!python/tuple
  - flatten_structured_array
  - false
- !!python/tuple
  - floor
  - false
- !!python/tuple
  - floor_divide
  - false
- !!python/tuple
  - fmod
  - false
- !!python/tuple
  - frombuffer
  - false
- !!python/tuple
  - fromflex
  - false
- !!python/tuple
  - fromfunction
  - false
- !!python/tuple
  - getdata
  - false
- !!python/tuple
  - getmask
  - false
- !!python/tuple
  - getmaskarray
  - false
- !!python/tuple
  - greater
  - false
- !!python/tuple
  - greater_equal
  - false
- !!python/tuple
  - harden_mask
  - false
- !!python/tuple
  - hypot
  - false
- !!python/tuple
  - identity
  - false
- !!python/tuple
  - ids
  - false
- !!python/tuple
  - indices
  - true
- !!python/tuple
  - inner
  - false
- !!python/tuple
  - isMA
  - false
- !!python/tuple
  - is_mask
  - false
- !!python/tuple
  - is_masked
  - false
- !!python/tuple
  - left_shift
  - false
- !!python/tuple
  - less
  - false
- !!python/tuple
  - less_equal
  - false
- !!python/tuple
  - log
  - false
- !!python/tuple
  - log10
  - false
- !!python/tuple
  - log2
  - false
- !!python/tuple
  - logical_and
  - false
- !!python/tuple
  - logical_not
  - false
- !!python/tuple
  - logical_or
  - false
- !!python/tuple
  - logical_xor
  - false
- !!python/tuple
  - make_mask
  - false
- !!python/tuple
  - make_mask_descr
  - false
- !!python/tuple
  - make_mask_none
  - false
- !!python/tuple
  - mask_or
  - false
- !!python/tuple
  - masked
  - false
- !!python/tuple
  - masked_equal
  - false
- !!python/tuple
  - masked_greater
  - false
- !!python/tuple
  - masked_greater_equal
  - false
- !!python/tuple
  - masked_inside
  - false
- !!python/tuple
  - masked_invalid
  - false
- !!python/tuple
  - masked_less
  - false
- !!python/tuple
  - masked_less_equal
  - false
- !!python/tuple
  - masked_not_equal
  - false
- !!python/tuple
  - masked_object
  - false
- !!python/tuple
  - masked_outside
  - false
- !!python/tuple
  - masked_print_option
  - false
- !!python/tuple
  - masked_singleton
  - false
- !!python/tuple
  - masked_values
  - false
- !!python/tuple
  - masked_where
  - false
- !!python/tuple
  - max
  - false
- !!python/tuple
  - maximum
  - false
- !!python/tuple
  - maximum_fill_value
  - false
- !!python/tuple
  - mean
  - false
- !!python/tuple
  - min
  - false
- !!python/tuple
  - minimum
  - false
- !!python/tuple
  - minimum_fill_value
  - false
- !!python/tuple
  - mod
  - false
- !!python/tuple
  - multiply
  - false
- !!python/tuple
  - mvoid
  - false
- !!python/tuple
  - ndim
  - false
- !!python/tuple
  - negative
  - false
- !!python/tuple
  - nomask
  - true
- !!python/tuple
  - nonzero
  - false
- !!python/tuple
  - not_equal
  - false
- !!python/tuple
  - ones
  - false
- !!python/tuple
  - outer
  - false
- !!python/tuple
  - power
  - false
- !!python/tuple
  - prod
  - false
- !!python/tuple
  - product
  - false
- !!python/tuple
  - ptp
  - false
- !!python/tuple
  - put
  - false
- !!python/tuple
  - putmask
  - false
- !!python/tuple
  - ravel
  - false
- !!python/tuple
  - remainder
  - false
- !!python/tuple
  - repeat
  - false
- !!python/tuple
  - reshape
  - false
- !!python/tuple
  - resize
  - false
- !!python/tuple
  - right_shift
  - false
- !!python/tuple
  - round
  - false
- !!python/tuple
  - set_fill_value
  - false
- !!python/tuple
  - shape
  - false
- !!python/tuple
  - sin
  - false
- !!python/tuple
  - sinh
  - false
- !!python/tuple
  - size
  - false
- !!python/tuple
  - soften_mask
  - false
- !!python/tuple
  - sometrue
  - false
- !!python/tuple
  - sort
  - false
- !!python/tuple
  - sqrt
  - false
- !!python/tuple
  - squeeze
  - true
- !!python/tuple
  - std
  - false
- !!python/tuple
  - subtract
  - false
- !!python/tuple
  - sum
  - false
- !!python/tuple
  - swapaxes
  - false
- !!python/tuple
  - take
  - false
- !!python/tuple
  - tan
  - false
- !!python/tuple
  - tanh
  - false
- !!python/tuple
  - trace
  - false
- !!python/tuple
  - transpose
  - false
- !!python/tuple
  - true_divide
  - false
- !!python/tuple
  - var
  - false
- !!python/tuple
  - where
  - false
- !!python/tuple
  - zeros
  - false
numpy.ma.extras:
- !!python/tuple
  - apply_along_axis
  - false
- !!python/tuple
  - apply_over_axes
  - false
- !!python/tuple
  - atleast_1d
  - false
- !!python/tuple
  - atleast_2d
  - false
- !!python/tuple
  - atleast_3d
  - false
- !!python/tuple
  - average
  - false
- !!python/tuple
  - clump_masked
  - false
- !!python/tuple
  - clump_unmasked
  - false
- !!python/tuple
  - column_stack
  - false
- !!python/tuple
  - compress_cols
  - false
- !!python/tuple
  - compress_nd
  - false
- !!python/tuple
  - compress_rowcols
  - false
- !!python/tuple
  - compress_rows
  - false
- !!python/tuple
  - count_masked
  - false
- !!python/tuple
  - corrcoef
  - false
- !!python/tuple
  - cov
  - false
- !!python/tuple
  - diagflat
  - false
- !!python/tuple
  - dot
  - false
- !!python/tuple
  - dstack
  - false
- !!python/tuple
  - ediff1d
  - false
- !!python/tuple
  - flatnotmasked_contiguous
  - false
- !!python/tuple
  - flatnotmasked_edges
  - false
- !!python/tuple
  - hsplit
  - false
- !!python/tuple
  - hstack
  - false
- !!python/tuple
  - isin
  - false
- !!python/tuple
  - in1d
  - false
- !!python/tuple
  - intersect1d
  - false
- !!python/tuple
  - mask_cols
  - false
- !!python/tuple
  - mask_rowcols
  - false
- !!python/tuple
  - mask_rows
  - false
- !!python/tuple
  - masked_all
  - false
- !!python/tuple
  - masked_all_like
  - false
- !!python/tuple
  - median
  - false
- !!python/tuple
  - mr_
  - false
- !!python/tuple
  - notmasked_contiguous
  - false
- !!python/tuple
  - notmasked_edges
  - false
- !!python/tuple
  - polyfit
  - false
- !!python/tuple
  - row_stack
  - false
- !!python/tuple
  - setdiff1d
  - false
- !!python/tuple
  - setxor1d
  - false
- !!python/tuple
  - stack
  - false
- !!python/tuple
  - unique
  - false
- !!python/tuple
  - union1d
  - false
- !!python/tuple
  - vander
  - false
numpy.ma.mrecords:
- !!python/tuple
  - MaskedRecords
  - false
- !!python/tuple
  - fromarrays
  - false
- !!python/tuple
  - fromrecords
  - false
- !!python/tuple
  - fromtextfile
  - false
- !!python/tuple
  - addfield
  - false
numpy.ma.testutils:
- !!python/tuple
  - almost
  - false
- !!python/tuple
  - approx
  - false
- !!python/tuple
  - assert_almost_equal
  - false
- !!python/tuple
  - assert_array_almost_equal
  - false
- !!python/tuple
  - assert_array_approx_equal
  - false
- !!python/tuple
  - assert_array_compare
  - false
- !!python/tuple
  - assert_array_equal
  - false
- !!python/tuple
  - assert_array_less
  - false
- !!python/tuple
  - assert_equal
  - false
- !!python/tuple
  - assert_equal_records
  - false
- !!python/tuple
  - assert_mask_equal
  - false
- !!python/tuple
  - assert_not_equal
  - false
- !!python/tuple
  - fail_if_array_equal
  - false
- !!python/tuple
  - TestCase
  - false
numpy.ma.timer_comparison:
- !!python/tuple
  - ModuleTester
  - false
- !!python/tuple
  - float_
  - true
- !!python/tuple
  - pi
  - true
- !!python/tuple
  - reduce
  - false
numpy.matlib:
- !!python/tuple
  - ModuleDeprecationWarning
  - true
- !!python/tuple
  - VisibleDeprecationWarning
  - true
- !!python/tuple
  - show_config
  - true
- !!python/tuple
  - zeros
  - false
- !!python/tuple
  - empty
  - false
- !!python/tuple
  - ones
  - false
- !!python/tuple
  - identity
  - false
- !!python/tuple
  - chararray
  - true
- !!python/tuple
  - eye
  - false
- !!python/tuple
  - rand
  - false
- !!python/tuple
  - randn
  - false
- !!python/tuple
  - repmat
  - false
numpy.matrixlib: []
numpy.matrixlib.defmatrix:
- !!python/tuple
  - matrix
  - true
- !!python/tuple
  - bmat
  - true
- !!python/tuple
  - mat
  - true
numpy.polynomial:
- !!python/tuple
  - test
  - false
numpy.polynomial.chebyshev:
- !!python/tuple
  - chebzero
  - false
- !!python/tuple
  - chebone
  - false
- !!python/tuple
  - chebx
  - false
- !!python/tuple
  - chebdomain
  - false
- !!python/tuple
  - chebline
  - false
- !!python/tuple
  - chebadd
  - false
- !!python/tuple
  - chebsub
  - false
- !!python/tuple
  - chebmulx
  - false
- !!python/tuple
  - chebmul
  - false
- !!python/tuple
  - chebdiv
  - false
- !!python/tuple
  - chebpow
  - false
- !!python/tuple
  - chebval
  - false
- !!python/tuple
  - chebder
  - false
- !!python/tuple
  - chebint
  - false
- !!python/tuple
  - cheb2poly
  - false
- !!python/tuple
  - poly2cheb
  - false
- !!python/tuple
  - chebfromroots
  - false
- !!python/tuple
  - chebvander
  - false
- !!python/tuple
  - chebfit
  - false
- !!python/tuple
  - chebroots
  - false
- !!python/tuple
  - chebpts1
  - false
- !!python/tuple
  - chebpts2
  - false
- !!python/tuple
  - Chebyshev
  - false
- !!python/tuple
  - chebval2d
  - false
- !!python/tuple
  - chebval3d
  - false
- !!python/tuple
  - chebgrid2d
  - false
- !!python/tuple
  - chebgrid3d
  - false
- !!python/tuple
  - chebvander2d
  - false
- !!python/tuple
  - chebvander3d
  - false
- !!python/tuple
  - chebcompanion
  - false
- !!python/tuple
  - chebgauss
  - false
- !!python/tuple
  - chebweight
  - false
- !!python/tuple
  - chebinterpolate
  - false
numpy.polynomial.hermite:
- !!python/tuple
  - hermzero
  - false
- !!python/tuple
  - hermone
  - false
- !!python/tuple
  - hermx
  - false
- !!python/tuple
  - hermdomain
  - false
- !!python/tuple
  - hermline
  - false
- !!python/tuple
  - hermadd
  - false
- !!python/tuple
  - hermsub
  - false
- !!python/tuple
  - hermmulx
  - false
- !!python/tuple
  - hermmul
  - false
- !!python/tuple
  - hermdiv
  - false
- !!python/tuple
  - hermpow
  - false
- !!python/tuple
  - hermval
  - false
- !!python/tuple
  - hermder
  - false
- !!python/tuple
  - hermint
  - false
- !!python/tuple
  - herm2poly
  - false
- !!python/tuple
  - poly2herm
  - false
- !!python/tuple
  - hermfromroots
  - false
- !!python/tuple
  - hermvander
  - false
- !!python/tuple
  - hermfit
  - false
- !!python/tuple
  - hermroots
  - false
- !!python/tuple
  - Hermite
  - false
- !!python/tuple
  - hermval2d
  - false
- !!python/tuple
  - hermval3d
  - false
- !!python/tuple
  - hermgrid2d
  - false
- !!python/tuple
  - hermgrid3d
  - false
- !!python/tuple
  - hermvander2d
  - false
- !!python/tuple
  - hermvander3d
  - false
- !!python/tuple
  - hermcompanion
  - false
- !!python/tuple
  - hermgauss
  - false
- !!python/tuple
  - hermweight
  - false
numpy.polynomial.hermite_e:
- !!python/tuple
  - hermezero
  - false
- !!python/tuple
  - hermeone
  - false
- !!python/tuple
  - hermex
  - false
- !!python/tuple
  - hermedomain
  - false
- !!python/tuple
  - hermeline
  - false
- !!python/tuple
  - hermeadd
  - false
- !!python/tuple
  - hermesub
  - false
- !!python/tuple
  - hermemulx
  - false
- !!python/tuple
  - hermemul
  - false
- !!python/tuple
  - hermediv
  - false
- !!python/tuple
  - hermepow
  - false
- !!python/tuple
  - hermeval
  - false
- !!python/tuple
  - hermeder
  - false
- !!python/tuple
  - hermeint
  - false
- !!python/tuple
  - herme2poly
  - false
- !!python/tuple
  - poly2herme
  - false
- !!python/tuple
  - hermefromroots
  - false
- !!python/tuple
  - hermevander
  - false
- !!python/tuple
  - hermefit
  - false
- !!python/tuple
  - hermeroots
  - false
- !!python/tuple
  - HermiteE
  - false
- !!python/tuple
  - hermeval2d
  - false
- !!python/tuple
  - hermeval3d
  - false
- !!python/tuple
  - hermegrid2d
  - false
- !!python/tuple
  - hermegrid3d
  - false
- !!python/tuple
  - hermevander2d
  - false
- !!python/tuple
  - hermevander3d
  - false
- !!python/tuple
  - hermecompanion
  - false
- !!python/tuple
  - hermegauss
  - false
- !!python/tuple
  - hermeweight
  - false
numpy.polynomial.laguerre:
- !!python/tuple
  - lagzero
  - false
- !!python/tuple
  - lagone
  - false
- !!python/tuple
  - lagx
  - false
- !!python/tuple
  - lagdomain
  - false
- !!python/tuple
  - lagline
  - false
- !!python/tuple
  - lagadd
  - false
- !!python/tuple
  - lagsub
  - false
- !!python/tuple
  - lagmulx
  - false
- !!python/tuple
  - lagmul
  - false
- !!python/tuple
  - lagdiv
  - false
- !!python/tuple
  - lagpow
  - false
- !!python/tuple
  - lagval
  - false
- !!python/tuple
  - lagder
  - false
- !!python/tuple
  - lagint
  - false
- !!python/tuple
  - lag2poly
  - false
- !!python/tuple
  - poly2lag
  - false
- !!python/tuple
  - lagfromroots
  - false
- !!python/tuple
  - lagvander
  - false
- !!python/tuple
  - lagfit
  - false
- !!python/tuple
  - lagroots
  - false
- !!python/tuple
  - Laguerre
  - false
- !!python/tuple
  - lagval2d
  - false
- !!python/tuple
  - lagval3d
  - false
- !!python/tuple
  - laggrid2d
  - false
- !!python/tuple
  - laggrid3d
  - false
- !!python/tuple
  - lagvander2d
  - false
- !!python/tuple
  - lagvander3d
  - false
- !!python/tuple
  - lagcompanion
  - false
- !!python/tuple
  - laggauss
  - false
- !!python/tuple
  - lagweight
  - false
numpy.polynomial.legendre:
- !!python/tuple
  - legzero
  - false
- !!python/tuple
  - legone
  - false
- !!python/tuple
  - legx
  - false
- !!python/tuple
  - legdomain
  - false
- !!python/tuple
  - legline
  - false
- !!python/tuple
  - legadd
  - false
- !!python/tuple
  - legsub
  - false
- !!python/tuple
  - legmulx
  - false
- !!python/tuple
  - legmul
  - false
- !!python/tuple
  - legdiv
  - false
- !!python/tuple
  - legpow
  - false
- !!python/tuple
  - legval
  - false
- !!python/tuple
  - legder
  - false
- !!python/tuple
  - legint
  - false
- !!python/tuple
  - leg2poly
  - false
- !!python/tuple
  - poly2leg
  - false
- !!python/tuple
  - legfromroots
  - false
- !!python/tuple
  - legvander
  - false
- !!python/tuple
  - legfit
  - false
- !!python/tuple
  - legroots
  - false
- !!python/tuple
  - Legendre
  - false
- !!python/tuple
  - legval2d
  - false
- !!python/tuple
  - legval3d
  - false
- !!python/tuple
  - leggrid2d
  - false
- !!python/tuple
  - leggrid3d
  - false
- !!python/tuple
  - legvander2d
  - false
- !!python/tuple
  - legvander3d
  - false
- !!python/tuple
  - legcompanion
  - false
- !!python/tuple
  - leggauss
  - false
- !!python/tuple
  - legweight
  - false
numpy.polynomial.polynomial:
- !!python/tuple
  - polyzero
  - false
- !!python/tuple
  - polyone
  - false
- !!python/tuple
  - polyx
  - false
- !!python/tuple
  - polydomain
  - false
- !!python/tuple
  - polyline
  - false
- !!python/tuple
  - polyadd
  - false
- !!python/tuple
  - polysub
  - false
- !!python/tuple
  - polymulx
  - false
- !!python/tuple
  - polymul
  - false
- !!python/tuple
  - polydiv
  - false
- !!python/tuple
  - polypow
  - false
- !!python/tuple
  - polyval
  - false
- !!python/tuple
  - polyvalfromroots
  - false
- !!python/tuple
  - polyder
  - false
- !!python/tuple
  - polyint
  - false
- !!python/tuple
  - polyfromroots
  - false
- !!python/tuple
  - polyvander
  - false
- !!python/tuple
  - polyfit
  - false
- !!python/tuple
  - polyroots
  - false
- !!python/tuple
  - Polynomial
  - false
- !!python/tuple
  - polyval2d
  - false
- !!python/tuple
  - polyval3d
  - false
- !!python/tuple
  - polygrid2d
  - false
- !!python/tuple
  - polygrid3d
  - false
- !!python/tuple
  - polyvander2d
  - false
- !!python/tuple
  - polyvander3d
  - false
numpy.polynomial.polyutils:
- !!python/tuple
  - RankWarning
  - false
- !!python/tuple
  - PolyError
  - false
- !!python/tuple
  - PolyDomainError
  - false
- !!python/tuple
  - as_series
  - false
- !!python/tuple
  - trimseq
  - false
- !!python/tuple
  - trimcoef
  - false
- !!python/tuple
  - getdomain
  - false
- !!python/tuple
  - mapdomain
  - false
- !!python/tuple
  - mapparms
  - false
- !!python/tuple
  - PolyBase
  - false
numpy.random:
- !!python/tuple
  - Generator
  - false
- !!python/tuple
  - SeedSequence
  - false
- !!python/tuple
  - MT19937
  - false
- !!python/tuple
  - Philox
  - false
- !!python/tuple
  - PCG64
  - false
- !!python/tuple
  - SFC64
  - false
- !!python/tuple
  - default_rng
  - false
- !!python/tuple
  - BitGenerator
  - false
numpy.random.mtrand:
- !!python/tuple
  - beta
  - false
- !!python/tuple
  - binomial
  - false
- !!python/tuple
  - bytes
  - false
- !!python/tuple
  - chisquare
  - false
- !!python/tuple
  - choice
  - false
- !!python/tuple
  - dirichlet
  - false
- !!python/tuple
  - exponential
  - false
- !!python/tuple
  - f
  - false
- !!python/tuple
  - gamma
  - false
- !!python/tuple
  - geometric
  - false
- !!python/tuple
  - get_state
  - false
- !!python/tuple
  - gumbel
  - false
- !!python/tuple
  - hypergeometric
  - false
- !!python/tuple
  - laplace
  - false
- !!python/tuple
  - logistic
  - false
- !!python/tuple
  - lognormal
  - false
- !!python/tuple
  - logseries
  - false
- !!python/tuple
  - multinomial
  - false
- !!python/tuple
  - multivariate_normal
  - false
- !!python/tuple
  - negative_binomial
  - false
- !!python/tuple
  - noncentral_chisquare
  - false
- !!python/tuple
  - noncentral_f
  - false
- !!python/tuple
  - normal
  - false
- !!python/tuple
  - pareto
  - false
- !!python/tuple
  - permutation
  - false
- !!python/tuple
  - poisson
  - false
- !!python/tuple
  - power
  - false
- !!python/tuple
  - rand
  - false
- !!python/tuple
  - randint
  - false
- !!python/tuple
  - randn
  - false
- !!python/tuple
  - random
  - false
- !!python/tuple
  - random_integers
  - false
- !!python/tuple
  - random_sample
  - false
- !!python/tuple
  - ranf
  - false
- !!python/tuple
  - rayleigh
  - false
- !!python/tuple
  - sample
  - false
- !!python/tuple
  - seed
  - false
- !!python/tuple
  - set_state
  - false
- !!python/tuple
  - shuffle
  - false
- !!python/tuple
  - standard_cauchy
  - false
- !!python/tuple
  - standard_exponential
  - false
- !!python/tuple
  - standard_gamma
  - false
- !!python/tuple
  - standard_normal
  - false
- !!python/tuple
  - standard_t
  - false
- !!python/tuple
  - triangular
  - false
- !!python/tuple
  - uniform
  - false
- !!python/tuple
  - vonmises
  - false
- !!python/tuple
  - wald
  - false
- !!python/tuple
  - weibull
  - false
- !!python/tuple
  - zipf
  - false
- !!python/tuple
  - RandomState
  - false
numpy.testing:
- !!python/tuple
  - break_cycles
  - false
- !!python/tuple
  - run_module_suite
  - false
numpy.testing.print_coercion_tables:
- !!python/tuple
  - GenericObject
  - false
- !!python/tuple
  - print_cancast_table
  - false
- !!python/tuple
  - print_coercion_table
  - false
numpy.testing.utils:
- !!python/tuple
  - assert_equal
  - false
- !!python/tuple
  - assert_almost_equal
  - false
- !!python/tuple
  - assert_approx_equal
  - false
- !!python/tuple
  - assert_array_equal
  - false
- !!python/tuple
  - assert_array_less
  - false
- !!python/tuple
  - assert_string_equal
  - false
- !!python/tuple
  - assert_array_almost_equal
  - false
- !!python/tuple
  - assert_raises
  - false
- !!python/tuple
  - build_err_msg
  - false
- !!python/tuple
  - decorate_methods
  - false
- !!python/tuple
  - jiffies
  - false
- !!python/tuple
  - memusage
  - false
- !!python/tuple
  - print_assert_equal
  - false
- !!python/tuple
  - raises
  - false
- !!python/tuple
  - rundocs
  - false
- !!python/tuple
  - runstring
  - false
- !!python/tuple
  - measure
  - false
- !!python/tuple
  - assert_
  - false
- !!python/tuple
  - assert_array_almost_equal_nulp
  - false
- !!python/tuple
  - assert_raises_regex
  - false
- !!python/tuple
  - assert_array_max_ulp
  - false
- !!python/tuple
  - assert_warns
  - false
- !!python/tuple
  - assert_no_warnings
  - false
- !!python/tuple
  - assert_allclose
  - 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