Analysis of repos that use Numba

static-analysis.py

# see https://gist.github.com/jpivarski/001867b9da51a47b93913a0b9809db3a

import concurrent.futures
import time
import glob
import tarfile
import json
import ast
import re
import gzip
from collections import Counter

import jupytext
import pycparser

c_parser = pycparser.c_parser.CParser()
c_directive = re.compile("\s*#.*")
c_include = re.compile("\s*#include [<\"](.*)[>\"]")
cuda_bracket = re.compile("<<<.*>>>")

cpp_suffixes = set(["c", "h", "c++", "cxx", "hxx", "cpp", "hpp", "hp", "cu", "cuh", "cp", "hh", "cc"])

others = {
    "pyx": "Cython",
    "pxi": "Cython",
    "f": "Fortran",
    "for": "Fortran",
    "f90": "Fortran",
    "jl": "Julia",
    "rs": "Rust",
    "r": "R",
    "rdata": "R",
    "rmd": "R",
    "abap": "ABAP",
    "mat": "MATLAB",
    "asv": "MATLAB",
    "m": "Mathematica",
    "wl": "Mathematica",
    "nb": "Mathematica",
    "go": "Go",
    "ada": "Ada",
    "java": "Java",
    "scala": "Scala",
    "groovy": "Groovy",
    "kt": "Kotlin",
    "kts": "Kotlin",
    "cs": "C#",
    "fs": "F#",
    "swift": "Swift",
    "perl": "Perl",
    "pl": "Perl",
    "pm": "Perl",
    "rb": "Ruby",
    "hs": "Haskell",
    "lhs": "Haskell",
    "cbl": "COBOL",
    "cob": "COBOL",
}


jit_functions = set(
    ["numba.jit", "numba.njit", "numba.generated_jit", "numba.vectorize", "numba.guvectorize", "numba.cfunc"]
)

class APIVisitor(ast.NodeVisitor):
    def __init__(self, numba_imports):
        self.numba_imports = numba_imports
        self.all_imports = Counter()
        self.all_numba_references = []

    def visit_Import(self, node):
        for subnode in node.names:
            self.all_imports[subnode.name.split(".")[0]] += 1

    def visit_ImportFrom(self, node):
        if node.level == 0:
            self.all_imports[node.module.split(".")[0]] += 1

    def visit_FunctionDef(self, node):
        for x in node.decorator_list:
            n = len(self.all_numba_references)
            self.visit(x)
            if n != len(self.all_numba_references):
                self.all_numba_references[-1] = "@" + self.all_numba_references[-1]
        self.visit(node.args)
        if node.returns is not None:
            self.visit(node.returns)
        for x in node.body:
            self.visit(x)

    def visit_Call(self, node):
        n = len(self.all_numba_references)
        self.visit(node.func)
        if n != len(self.all_numba_references):
            if self.all_numba_references[-1] in jit_functions:
                unparsed = ast.unparse(node)
                self.all_numba_references[-1] = self.all_numba_references[-1] + unparsed[unparsed.index("("):]
        for x in node.args:
            self.visit(x)
        for x in node.keywords:
            self.visit(x)

    def visit_Attribute(self, node):
        if isinstance(node.ctx, ast.Load):
            name = ()
            while isinstance(node, ast.Attribute):
                name = (node.attr,) + name
                node = node.value
            if isinstance(node, ast.Name):
                name = (node.id,) + name
                self._check(".".join(name))

    def visit_Name(self, node):
        if isinstance(node.ctx, ast.Load):
            self._check(node.id)

    def _check(self, name):
        for real, alias in self.numba_imports:
            if name == alias or name.startswith(alias + "."):
                fixed = real + name[len(alias):]
                self.all_numba_references.append(fixed)
                break


def analyze_python(syntax_tree):
    assert isinstance(syntax_tree, ast.Module)

    top_imports = Counter()
    numba_imports = []
    for node in syntax_tree.body:
        if isinstance(node, ast.Import):
            for subnode in node.names:
                name = subnode.name.split(".")[0]
                top_imports[name] += 1
                if name == "numba":
                    asname = subnode.name if subnode.asname is None else subnode.asname
                    numba_imports.append((subnode.name, asname))

        elif isinstance(node, ast.ImportFrom) and node.level == 0:
            name = node.module.split(".")[0]
            top_imports[name] += 1
            if name == "numba":
                for subname in node.names:
                    asname = subname.name if subname.asname is None else subname.asname
                    numba_imports.append((node.module + "." + subname.name, asname))

    visitor = APIVisitor(numba_imports)
    try:
        visitor.visit(syntax_tree)
    except RecursionError:
        return None

    nested_imports = {k: v - top_imports.get(k, 0) for k, v in visitor.all_imports.items()}
    nested_imports = {k: v for k, v in nested_imports.items() if v != 0}

    all_numba_references = Counter()
    for x in visitor.all_numba_references:
        all_numba_references[x] += 1

    return {"top": dict(top_imports), "nested": nested_imports, "numba": dict(all_numba_references)}


def analyze_repo(filename):
    reponame = filename[49:-4]
    print(reponame)

    repodata = {"name": reponame, "python": [], "c": [], "other_language": Counter()}

    with tarfile.open(filename) as file:
        subfilenames = file.getnames()
        repodata["num_files"] = len(subfilenames)
        names_in_repo = set(x.split("/")[-1] for x in subfilenames)

        for subfilename in subfilenames:
            assert subfilename[5 : 5 + len(reponame)] == reponame
            pieces = subfilename.lower().rsplit(".", 1)
            if len(pieces) != 2 or pieces[0] == "":
                continue

            if pieces[1] in ("py", "pyi"):
                try:
                    subfile = file.extractfile(subfilename)
                except (KeyError, RecursionError):
                    continue
                if subfile is None:
                    continue

                try:
                    syntax_tree = ast.parse(subfile.read())
                    parsable = True
                except:
                    parsable = False

                repodata["python"].append({
                    "name": subfilename[5 + len(reponame) + 1:],
                    "suffix": pieces[1],
                    "data": analyze_python(syntax_tree) if parsable else None,
                })

            elif pieces[1] == "ipynb":
                try:
                    subfile = file.extractfile(subfilename)
                except (KeyError, RecursionError):
                    continue
                if subfile is None:
                    continue

                try:
                    notebook = jupytext.reads(
                        subfile.read().decode("utf-8", errors="surrogateescape")
                    )
                    text = jupytext.writes(notebook, fmt="py:percent")
                    syntax_tree = ast.parse(text)
                    parsable = True
                except:
                    parsable = False

                repodata["python"].append({
                    "name": subfilename[5 + len(reponame) + 1:],
                    "suffix": pieces[1],
                    "data": analyze_python(syntax_tree) if parsable else None,
                })

            elif pieces[1] in cpp_suffixes:
                try:
                    subfile = file.extractfile(subfilename)
                except (KeyError, RecursionError):
                    continue
                if subfile is None:
                    continue

                text = subfile.read().decode("utf-8", errors="surrogateescape")

                global_include = Counter()
                local_include = Counter()
                for include in c_include.finditer(text):
                    if include.group(1).split("/")[-1] in names_in_repo:
                        local_include[include.group(1)] += 1
                    else:
                        global_include[include.group(1)] += 1

                try:
                    c_parser.parse(c_directive.sub("", text), subfilename)
                    is_c = True
                except pycparser.plyparser.ParseError:
                    is_c = False

                num_cuda_brackets = len(cuda_bracket.findall(text))

                repodata["c"].append({
                    "name": subfilename[5 + len(reponame) + 1:],
                    "suffix": pieces[1],
                    "data": {
                        "global": dict(global_include),
                        "local": dict(local_include),
                        "is_c": is_c,
                        "num_cuda": num_cuda_brackets,
                    },
                })

            else:
                language = others.get(pieces[1])
                if language is not None:
                    repodata["other_language"][language] += 1

    repodata["other_language"] = dict(repodata["other_language"])

    print("DONE", reponame)
    return filename + "\n", json.dumps(repodata, ensure_ascii=True, allow_nan=False, separators=(",", ":")) + "\n"


filenames = glob.glob("GitHub-numba-user-nonfork-raw-data-1Mcut-imports/*/*.tgz")

try:
    with open("input-skip.txt") as names:
        for name in names:
            filenames.remove(name.rstrip("\n"))
except FileNotFoundError:
    pass

print(filenames)
raise Exception

with open("output-names.txt", "w") as names, open("output-errors.txt", "w") as errors, open("output-results.jsons", "w") as results:
    with concurrent.futures.ProcessPoolExecutor() as pool:
        start = time.time()
        for i, (name, result) in enumerate(pool.map(analyze_repo, filenames, chunksize=1)):
        # for i, (name, result) in enumerate(analyze_repo(x) for x in filenames):
            if name is None:
                errors.write(result)
                errors.flush()
            else:
                results.write(result)
                results.flush()
                names.write(name)
                names.flush()
                now = int(time.time() - start)
                print(
                    f"{now // 3600}:{(now % 3600) // 60:02d}:{now % 60:02d}: {i+1}/{len(filenames)} = {(i+1)/len(filenames)}",
                    flush=True,
                )

use-static-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5c024588-7f0b-4c9a-b15f-322e5d76ac70",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from collections import Counter\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d93eb897-2001-4534-9209-16773607ae24",
   "metadata": {},
   "outputs": [],
   "source": [
    "results = []\n",
    "for fileindex in [1, 2, 3]:\n",
    "    with open(f\"output-results-batch{fileindex}.jsons\") as file:\n",
    "        for line in file:\n",
    "            results.append(json.loads(line))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9413ade7-ba9c-47e5-8d27-5d492666d0bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13511"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0983239e-b1a8-45f3-86bb-a3af3a3ce1ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>suffix</th>\n",
       "      <th>is_c</th>\n",
       "      <th>is_cuda</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "    <tr>\n",
       "      <th>897086</th>\n",
       "      <td>h</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897087</th>\n",
       "      <td>h</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897088</th>\n",
       "      <td>h</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897089</th>\n",
       "      <td>h</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>897090</th>\n",
       "      <td>c</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>897091 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       suffix   is_c  is_cuda\n",
       "0         cpp   True    False\n",
       "1           c  False    False\n",
       "2           c  False    False\n",
       "3         cpp  False    False\n",
       "4         cpp  False    False\n",
       "...       ...    ...      ...\n",
       "897086      h  False    False\n",
       "897087      h  False    False\n",
       "897088      h  False    False\n",
       "897089      h  False    False\n",
       "897090      c  False    False\n",
       "\n",
       "[897091 rows x 3 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame([{\"suffix\": cfile[\"suffix\"], \"is_c\": cfile[\"data\"][\"is_c\"], \"is_cuda\": cfile[\"data\"][\"num_cuda\"] > 0} for result in results for cfile in result[\"c\"]])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "642761db-612d-4bbe-bb8c-8f76b1ad3aba",
   "metadata": {},
   "source": [
    "The file extension is useless for determining if something is pure C versus C++."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a6c233a0-98d3-40bc-b6ba-24338f1f3d7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "suffix\n",
       "h      9157\n",
       "cpp    3236\n",
       "c      3024\n",
       "hpp    2311\n",
       "cxx     160\n",
       "cc      106\n",
       "cuh      49\n",
       "cu       20\n",
       "hh        6\n",
       "hxx       5\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"suffix\"][df[\"is_c\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3d1dca76-2ced-40a3-a230-21a9cf3ca697",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "suffix\n",
       "h      401378\n",
       "cpp    194933\n",
       "c       85414\n",
       "cc      73949\n",
       "hpp     45596\n",
       "cu      40778\n",
       "cxx     24752\n",
       "cuh      6170\n",
       "hh       3046\n",
       "hxx      2982\n",
       "c++        13\n",
       "cp          3\n",
       "hp          3\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"suffix\"][~df[\"is_c\"]].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "831f338c-003a-467c-9a6d-83ac4f396bfe",
   "metadata": {},
   "source": [
    "But it's a pretty good indicator that a CUDA file is a CUDA file (unless it's a header file, but then my method of checking for `<<<` `>>>` doesn't work, either)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ec2d05f6-8c4c-407f-8b4d-5a7d98dbedf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "suffix\n",
       "cu     18197\n",
       "h       1274\n",
       "cuh      962\n",
       "c        101\n",
       "cpp       85\n",
       "hpp       82\n",
       "cc        73\n",
       "hxx        2\n",
       "hh         1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"suffix\"][df[\"is_cuda\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6d556fef-3b08-47c6-a9d9-318050be8188",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "suffix\n",
       "h      409261\n",
       "cpp    198084\n",
       "c       88337\n",
       "cc      73982\n",
       "hpp     47825\n",
       "cxx     24912\n",
       "cu      22601\n",
       "cuh      5257\n",
       "hh       3051\n",
       "hxx      2985\n",
       "c++        13\n",
       "cp          3\n",
       "hp          3\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"suffix\"][~df[\"is_cuda\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "d8dfb9fe-26e9-4436-b769-de63dfde9a3d",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Fortran</th>\n",
       "      <th>Groovy</th>\n",
       "      <th>Scala</th>\n",
       "      <th>Kotlin</th>\n",
       "      <th>F#</th>\n",
       "      <th>Haskell</th>\n",
       "      <th>Ada</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JeffreyMinucci</td>\n",
       "      <td>ht_occupational</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>dreamento</td>\n",
       "      <td>dreamento</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>nitin7478</td>\n",
       "      <td>Backorder_Prediction</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>exafmm</td>\n",
       "      <td>pyexafmm</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>astro-informatics</td>\n",
       "      <td>sleplet</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13087</th>\n",
       "      <td>haowen-xu</td>\n",
       "      <td>tensorkit</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13088</th>\n",
       "      <td>WONDER-project</td>\n",
       "      <td>OASYS1-WONDER</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13089</th>\n",
       "      <td>WONDER-project</td>\n",
       "      <td>Orange3-WONDER</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13090</th>\n",
       "      <td>maciej-sypetkowski</td>\n",
       "      <td>autoascend</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13091</th>\n",
       "      <td>FS-CSCI150-F21</td>\n",
       "      <td>FS-CSCI150-F21-Team4</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13092 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     user                  repo      C    C++  Cython  Julia  \\\n",
       "0          JeffreyMinucci       ht_occupational  False  False   False  False   \n",
       "1               dreamento             dreamento  False  False   False  False   \n",
       "2               nitin7478  Backorder_Prediction  False  False   False  False   \n",
       "3                  exafmm              pyexafmm  False  False   False  False   \n",
       "4       astro-informatics               sleplet  False  False   False  False   \n",
       "...                   ...                   ...    ...    ...     ...    ...   \n",
       "13087           haowen-xu             tensorkit  False  False   False  False   \n",
       "13088      WONDER-project         OASYS1-WONDER  False  False   False  False   \n",
       "13089      WONDER-project        Orange3-WONDER  False  False   False  False   \n",
       "13090  maciej-sypetkowski            autoascend  False  False   False  False   \n",
       "13091      FS-CSCI150-F21  FS-CSCI150-F21-Team4   True   True    True  False   \n",
       "\n",
       "       Swift     Go   CUDA   Java  ...      R   Rust  MATLAB  Fortran  Groovy  \\\n",
       "0      False  False  False  False  ...  False  False   False    False   False   \n",
       "1      False  False  False  False  ...  False  False   False    False   False   \n",
       "2      False  False  False  False  ...  False  False   False    False   False   \n",
       "3      False  False  False  False  ...  False  False   False    False   False   \n",
       "4      False  False  False  False  ...  False  False   False    False   False   \n",
       "...      ...    ...    ...    ...  ...    ...    ...     ...      ...     ...   \n",
       "13087  False  False  False  False  ...  False  False   False    False   False   \n",
       "13088  False  False  False  False  ...  False  False   False    False   False   \n",
       "13089  False  False  False  False  ...  False  False   False    False   False   \n",
       "13090  False  False  False  False  ...  False  False   False    False   False   \n",
       "13091  False  False  False  False  ...  False  False    True     True   False   \n",
       "\n",
       "       Scala  Kotlin     F#  Haskell    Ada  \n",
       "0      False   False  False    False  False  \n",
       "1      False   False  False    False  False  \n",
       "2      False   False  False    False  False  \n",
       "3      False   False  False    False  False  \n",
       "4      False   False  False    False  False  \n",
       "...      ...     ...    ...      ...    ...  \n",
       "13087  False   False  False    False  False  \n",
       "13088  False   False  False    False  False  \n",
       "13089  False   False  False    False  False  \n",
       "13090  False   False  False    False  False  \n",
       "13091  False   False  False    False  False  \n",
       "\n",
       "[13092 rows x 24 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "languages = []\n",
    "for result in results:\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None and any(x == \"numba\" or x.startswith(\"numba.\") for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"])):\n",
    "            break\n",
    "    else:\n",
    "        continue\n",
    "    username, reponame = result[\"name\"].split(\"/\", 1)\n",
    "    languages.append({\"user\": username, \"repo\": reponame})\n",
    "    for cfile in result[\"c\"]:\n",
    "        if cfile[\"data\"][\"num_cuda\"] > 0 or cfile[\"suffix\"] in (\"cu\", \"cuh\"):\n",
    "            languages[-1][\"CUDA\"] = True\n",
    "        elif cfile[\"data\"][\"is_c\"]:\n",
    "            languages[-1][\"C\"] = True\n",
    "        else:\n",
    "            languages[-1][\"C++\"] = True\n",
    "    for k, v in result[\"other_language\"].items():\n",
    "        if v > 0:\n",
    "            languages[-1][k] = True\n",
    "\n",
    "df = pd.DataFrame(languages).fillna(False)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "9586e57b-4e9c-4be4-9902-fa66f33289bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9689882318111168"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df) / len(results)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3072727-549b-4269-b33f-cccd6c3a2392",
   "metadata": {},
   "source": [
    "In the following, \"C++\" and \"C\" are mutually exclusive categories of file (\"does it compile in pycparser or not?\"), but the bars are not mutually exclusive because a repo can contain a C++ file _and also_ a pure C file.\n",
    "\n",
    "\"CUDA\" is not exclusive with respect to \"C++\" and \"C\"; it corresponds to any C-like file with `<<<` `>>>` in it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "54458306-fd17-46cb-b594-95f1b8f28096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4.5))\n",
    "\n",
    "(df.drop(columns=[\"user\", \"repo\"]).sum(axis=0).sort_values() / len(df)).plot.barh(ax=ax)\n",
    "ax.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax.set_title(\"non-Python languages (represented by at least one file)\")\n",
    "\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "c19e5be0-566c-4085-93c7-bca99bead771",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "\n",
    "(df.drop(columns=[\"repo\"]).groupby(\"user\").any().sum(axis=0).sort_values()[4:] * 100 / len(df)).plot.barh(ax=ax)\n",
    "ax.set_xlabel(\"Percentage of GitHub users who 'import numba' or 'from numba import' in Python\")\n",
    "ax.set_ylabel(\"Other language used (at least one file)\")\n",
    "ax.xaxis.grid(linestyle=\"--\")\n",
    "ax.set_axisbelow(True)\n",
    "\n",
    "fig.savefig(\"numba-users-other-language.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4157b59c-f9f7-4edb-9390-4f997fbbbb84",
   "metadata": {},
   "outputs": [],
   "source": [
    "STDLIB_MODULES = {\n",
    "    \"__main__\",\n",
    "    \"string\",\n",
    "    \"re\",\n",
    "    \"difflib\",\n",
    "    \"textwrap\",\n",
    "    \"unicodedata\",\n",
    "    \"stringprep\",\n",
    "    \"readline\",\n",
    "    \"rlcompleter\",\n",
    "    \"struct\",\n",
    "    \"codecs\",\n",
    "    \"datetime\",\n",
    "    \"calendar\",\n",
    "    \"collections\",\n",
    "    \"heapq\",\n",
    "    \"bisect\",\n",
    "    \"array\",\n",
    "    \"weakref\",\n",
    "    \"types\",\n",
    "    \"copy\",\n",
    "    \"pprint\",\n",
    "    \"reprlib\",\n",
    "    \"enum\",\n",
    "    \"numbers\",\n",
    "    \"math\",\n",
    "    \"cmath\",\n",
    "    \"decimal\",\n",
    "    \"fractions\",\n",
    "    \"random\",\n",
    "    \"statistics\",\n",
    "    \"itertools\",\n",
    "    \"functools\",\n",
    "    \"operator\",\n",
    "    \"pathlib\",\n",
    "    \"fileinput\",\n",
    "    \"stat\",\n",
    "    \"filecmp\",\n",
    "    \"tempfile\",\n",
    "    \"glob\",\n",
    "    \"fnmatch\",\n",
    "    \"linecache\",\n",
    "    \"shutil\",\n",
    "    \"macpath\",\n",
    "    \"pickle\",\n",
    "    \"copyreg\",\n",
    "    \"shelve\",\n",
    "    \"marshal\",\n",
    "    \"dbm\",\n",
    "    \"sqlite3\",\n",
    "    \"zlib\",\n",
    "    \"gzip\",\n",
    "    \"bz2\",\n",
    "    \"lzma\",\n",
    "    \"zipfile\",\n",
    "    \"tarfile\",\n",
    "    \"csv\",\n",
    "    \"configparser\",\n",
    "    \"netrc\",\n",
    "    \"xdrlib\",\n",
    "    \"plistlib\",\n",
    "    \"hashlib\",\n",
    "    \"hmac\",\n",
    "    \"secrets\",\n",
    "    \"os\",\n",
    "    \"io\",\n",
    "    \"time\",\n",
    "    \"argparse\",\n",
    "    \"getopt\",\n",
    "    \"logging\",\n",
    "    \"getpass\",\n",
    "    \"curses\",\n",
    "    \"platform\",\n",
    "    \"errno\",\n",
    "    \"ctypes\",\n",
    "    \"threading\",\n",
    "    \"multiprocessing\",\n",
    "    \"concurrent\",\n",
    "    \"subprocess\",\n",
    "    \"sched\",\n",
    "    \"queue\",\n",
    "    \"_thread\",\n",
    "    \"_dummy_thread\",\n",
    "    \"dummy_threading\",\n",
    "    \"contextvars\",\n",
    "    \"asyncio\",\n",
    "    \"socket\",\n",
    "    \"ssl\",\n",
    "    \"select\",\n",
    "    \"selectors\",\n",
    "    \"asyncore\",\n",
    "    \"asynchat\",\n",
    "    \"signal\",\n",
    "    \"mmap\",\n",
    "    \"email\",\n",
    "    \"json\",\n",
    "    \"mailcap\",\n",
    "    \"mailbox\",\n",
    "    \"mimetypes\",\n",
    "    \"base64\",\n",
    "    \"binhex\",\n",
    "    \"binascii\",\n",
    "    \"quopri\",\n",
    "    \"uu\",\n",
    "    \"html\",\n",
    "    \"xml\",\n",
    "    \"webbrowser\",\n",
    "    \"cgi\",\n",
    "    \"cgitb\",\n",
    "    \"wsgiref\",\n",
    "    \"urllib\",\n",
    "    \"ftplib\",\n",
    "    \"poplib\",\n",
    "    \"imaplib\",\n",
    "    \"nntplib\",\n",
    "    \"smtplib\",\n",
    "    \"smtpd\",\n",
    "    \"telnetlib\",\n",
    "    \"uuid\",\n",
    "    \"socketserver\",\n",
    "    \"xmlrpc\",\n",
    "    \"ipaddress\",\n",
    "    \"audioop\",\n",
    "    \"aifc\",\n",
    "    \"sunau\",\n",
    "    \"wave\",\n",
    "    \"chunk\",\n",
    "    \"colorsys\",\n",
    "    \"imghdr\",\n",
    "    \"sndhdr\",\n",
    "    \"ossaudiodev\",\n",
    "    \"gettext\",\n",
    "    \"locale\",\n",
    "    \"turtle\",\n",
    "    \"cmd\",\n",
    "    \"shlex\",\n",
    "    \"tkinter\",\n",
    "    \"typing\",\n",
    "    \"pydoc\",\n",
    "    \"doctest\",\n",
    "    \"unittest\",\n",
    "    \"lib2to3\",\n",
    "    \"test\",\n",
    "    \"bdb\",\n",
    "    \"faulthandler\",\n",
    "    \"pdb\",\n",
    "    \"timeit\",\n",
    "    \"trace\",\n",
    "    \"tracemalloc\",\n",
    "    \"distutils\",\n",
    "    \"ensurepip\",\n",
    "    \"venv\",\n",
    "    \"zipapp\",\n",
    "    \"sys\",\n",
    "    \"sysconfig\",\n",
    "    \"builtins\",\n",
    "    \"warnings\",\n",
    "    \"dataclasses\",\n",
    "    \"contextlib\",\n",
    "    \"abc\",\n",
    "    \"atexit\",\n",
    "    \"traceback\",\n",
    "    \"__future__\",\n",
    "    \"gc\",\n",
    "    \"inspect\",\n",
    "    \"site\",\n",
    "    \"code\",\n",
    "    \"codeop\",\n",
    "    \"zipimport\",\n",
    "    \"pkgutil\",\n",
    "    \"modulefinder\",\n",
    "    \"runpy\",\n",
    "    \"importlib\",\n",
    "    \"parser\",\n",
    "    \"ast\",\n",
    "    \"symtable\",\n",
    "    \"symbol\",\n",
    "    \"token\",\n",
    "    \"keyword\",\n",
    "    \"tokenize\",\n",
    "    \"tabnanny\",\n",
    "    \"pyclbr\",\n",
    "    \"py_compile\",\n",
    "    \"compileall\",\n",
    "    \"dis\",\n",
    "    \"pickletools\",\n",
    "    \"formatter\",\n",
    "    \"msilib\",\n",
    "    \"msvcrt\",\n",
    "    \"winreg\",\n",
    "    \"winsound\",\n",
    "    \"posix\",\n",
    "    \"pwd\",\n",
    "    \"spwd\",\n",
    "    \"grp\",\n",
    "    \"crypt\",\n",
    "    \"termios\",\n",
    "    \"tty\",\n",
    "    \"pty\",\n",
    "    \"fcntl\",\n",
    "    \"pipes\",\n",
    "    \"resource\",\n",
    "    \"nis\",\n",
    "    \"syslog\",\n",
    "    \"optparse\",\n",
    "    \"imp\",\n",
    "    \"posixpath\",\n",
    "    \"ntpath\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7cde851e-8399-4614-b53d-101af9c15fc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://stackoverflow.com/a/2029106/1623645\n",
    "\n",
    "C_STDLIB_MODULES = set([\n",
    "    \"aio.h\",\n",
    "    \"algorithm\",\n",
    "    \"any\",\n",
    "    \"arpa/inet.h\",\n",
    "    \"array\",\n",
    "    \"assert.h\",\n",
    "    \"atomic\",\n",
    "    \"barrier\",\n",
    "    \"bit\",\n",
    "    \"bitset\",\n",
    "    \"cassert\",\n",
    "    \"ccomplex\",\n",
    "    \"cctype\",\n",
    "    \"cerrno\",\n",
    "    \"cfenv\",\n",
    "    \"cfloat\",\n",
    "    \"charconv\",\n",
    "    \"chrono\",\n",
    "    \"cinttypes\",\n",
    "    \"ciso646\",\n",
    "    \"climits\",\n",
    "    \"clocale\",\n",
    "    \"cmath\",\n",
    "    \"codecvt\",\n",
    "    \"compare\",\n",
    "    \"complex\",\n",
    "    \"complex.h\",\n",
    "    \"concepts\",\n",
    "    \"condition_variable\",\n",
    "    \"coroutine\",\n",
    "    \"cpio.h\",\n",
    "    \"csetjmp\",\n",
    "    \"csignal\",\n",
    "    \"cstdalign\",\n",
    "    \"cstdarg\",\n",
    "    \"cstdbool\",\n",
    "    \"cstddef\",\n",
    "    \"cstdint\",\n",
    "    \"cstdio\",\n",
    "    \"cstdlib\",\n",
    "    \"cstring\",\n",
    "    \"ctgmath\",\n",
    "    \"ctime\",\n",
    "    \"ctype.h\",\n",
    "    \"cuchar\",\n",
    "    \"curses.h\",\n",
    "    \"cwchar\",\n",
    "    \"cwctype\",\n",
    "    \"deque\",\n",
    "    \"dirent.h\",\n",
    "    \"dlfcn.h\",\n",
    "    \"errno.h\",\n",
    "    \"exception\",\n",
    "    \"execution\",\n",
    "    \"expected\",\n",
    "    \"fcntl.h\",\n",
    "    \"fenv.h\",\n",
    "    \"filesystem\",\n",
    "    \"flat_map\",\n",
    "    \"flat_set\",\n",
    "    \"float.h\",\n",
    "    \"fmtmsg.h\",\n",
    "    \"fnmatch.h\",\n",
    "    \"format\",\n",
    "    \"forward_list\",\n",
    "    \"fstream\",\n",
    "    \"ftw.h\",\n",
    "    \"functional\",\n",
    "    \"future\",\n",
    "    \"generator\",\n",
    "    \"glob.h\",\n",
    "    \"grp.h\",\n",
    "    \"iconv.h\",\n",
    "    \"initializer_list\",\n",
    "    \"inttypes.h\",\n",
    "    \"iomanip\",\n",
    "    \"ios\",\n",
    "    \"iosfwd\",\n",
    "    \"iostream\",\n",
    "    \"iso646.h\",\n",
    "    \"istream\",\n",
    "    \"iterator\",\n",
    "    \"langinfo.h\",\n",
    "    \"latch\",\n",
    "    \"libgen.h\",\n",
    "    \"limits\",\n",
    "    \"limits.h\",\n",
    "    \"list\",\n",
    "    \"locale\",\n",
    "    \"locale.h\",\n",
    "    \"map\",\n",
    "    \"math.h\",\n",
    "    \"mdspan\",\n",
    "    \"memory\",\n",
    "    \"memory_resource\",\n",
    "    \"monetary.h\",\n",
    "    \"mqueue.h\",\n",
    "    \"mutex\",\n",
    "    \"ndbm.h\",\n",
    "    \"netdb.h\",\n",
    "    \"net/if.h\",\n",
    "    \"netinet/in.h\",\n",
    "    \"netinet/tcp.h\",\n",
    "    \"new\",\n",
    "    \"nl_types.h\",\n",
    "    \"numbers\",\n",
    "    \"numeric\",\n",
    "    \"optional\",\n",
    "    \"ostream\",\n",
    "    \"poll.h\",\n",
    "    \"print\",\n",
    "    \"pthread.h\",\n",
    "    \"pwd.h\",\n",
    "    \"queue\",\n",
    "    \"random\",\n",
    "    \"ranges\",\n",
    "    \"ratio\",\n",
    "    \"regex\",\n",
    "    \"regex.h\",\n",
    "    \"sched.h\",\n",
    "    \"scoped_allocator\",\n",
    "    \"search.h\",\n",
    "    \"semaphore\",\n",
    "    \"semaphore.h\",\n",
    "    \"set\",\n",
    "    \"setjmp.h\",\n",
    "    \"shared_mutex\",\n",
    "    \"signal.h\",\n",
    "    \"source_location\",\n",
    "    \"span\",\n",
    "    \"spanstream\",\n",
    "    \"spawn.h\",\n",
    "    \"sstream\",\n",
    "    \"stack\",\n",
    "    \"stacktrace\",\n",
    "    \"stdalign.h\",\n",
    "    \"stdarg.h\",\n",
    "    \"stdatomic.h\",\n",
    "    \"stdbit.h\",\n",
    "    \"stdbool.h\",\n",
    "    \"stdckdint.h\",\n",
    "    \"stddef.h\",\n",
    "    \"stdexcept\",\n",
    "    \"stdfloat\",\n",
    "    \"stdint.h\",\n",
    "    \"stdio.h\",\n",
    "    \"stdlib.h\",\n",
    "    \"stdnoreturn.h\",\n",
    "    \"stop_token\",\n",
    "    \"streambuf\",\n",
    "    \"string\",\n",
    "    \"string.h\",\n",
    "    \"strings.h\",\n",
    "    \"string_view\",\n",
    "    \"stropts.h\",\n",
    "    \"strstream\",\n",
    "    \"syncstream\",\n",
    "    \"sys/ipc.h\",\n",
    "    \"syslog.h\",\n",
    "    \"sys/mman.h\",\n",
    "    \"sys/msg.h\",\n",
    "    \"sys/resource.h\",\n",
    "    \"sys/select.h\",\n",
    "    \"sys/sem.h\",\n",
    "    \"sys/shm.h\",\n",
    "    \"sys/socket.h\",\n",
    "    \"sys/stat.h\",\n",
    "    \"sys/statvfs.h\",\n",
    "    \"system_error\",\n",
    "    \"sys/time.h\",\n",
    "    \"sys/times.h\",\n",
    "    \"sys/types.h\",\n",
    "    \"sys/uio.h\",\n",
    "    \"sys/un.h\",\n",
    "    \"sys/utsname.h\",\n",
    "    \"sys/wait.h\",\n",
    "    \"tar.h\",\n",
    "    \"term.h\",\n",
    "    \"termios.h\",\n",
    "    \"tgmath.h\",\n",
    "    \"thread\",\n",
    "    \"threads.h\",\n",
    "    \"time.h\",\n",
    "    \"trace.h\",\n",
    "    \"tuple\",\n",
    "    \"typeindex\",\n",
    "    \"typeinfo\",\n",
    "    \"type_traits\",\n",
    "    \"uchar.h\",\n",
    "    \"ulimit.h\",\n",
    "    \"uncntrl.h\",\n",
    "    \"unistd.h\",\n",
    "    \"unordered_map\",\n",
    "    \"unordered_set\",\n",
    "    \"utility\",\n",
    "    \"utime.h\",\n",
    "    \"utmpx.h\",\n",
    "    \"valarray\",\n",
    "    \"variant\",\n",
    "    \"vector\",\n",
    "    \"version\",\n",
    "    \"wchar.h\",\n",
    "    \"wctype.h\",\n",
    "    \"wordexp.h\",\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e1dff26f-7e24-437b-a938-6d993cbdc9c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_with_numba = 0\n",
    "python_imports = Counter()\n",
    "c_imports = Counter()\n",
    "for result in results:\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None and any(x == \"numba\" or x.startswith(\"numba.\") for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"])):\n",
    "            break\n",
    "    else:\n",
    "        continue\n",
    "    num_with_numba += 1\n",
    "\n",
    "    counter = Counter()\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None:\n",
    "            for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"]):\n",
    "                if x not in STDLIB_MODULES and x != \"numba\":\n",
    "                    counter[x] += 1\n",
    "    for x in counter:\n",
    "        python_imports[x] += 1\n",
    "\n",
    "    counter = Counter()\n",
    "    for cfile in result[\"c\"]:\n",
    "        if cfile[\"data\"] is not None:\n",
    "            for x in list(cfile[\"data\"][\"global\"]) + list(cfile[\"data\"][\"local\"]):\n",
    "                if x not in C_STDLIB_MODULES and x != \"numba\":\n",
    "                    counter[x] += 1\n",
    "    for x in counter:\n",
    "        c_imports[x] += 1\n",
    "\n",
    "python_imports = sorted(python_imports.items(), key=lambda x: -x[1])\n",
    "c_imports = sorted(c_imports.items(), key=lambda x: -x[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "73392ac7-dc61-4461-a7c9-24ae70aa3bce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(11, 9))\n",
    "\n",
    "(pd.Series(dict(python_imports[:50])).sort_values() / num_with_numba).plot.barh(ax=ax1)\n",
    "ax1.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax1.set_title(\"top Python imports (not standard library)\")\n",
    "ax1.set_xlim(0, 1)\n",
    "\n",
    "(pd.Series(dict(c_imports[:50])).sort_values() / num_with_numba).plot.barh(ax=ax2)\n",
    "ax2.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax2.set_title(\"top C and C++ includes (not standard library)\")\n",
    "# ax2.set_xlim(0, 1)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.8)\n",
    "\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "836c61df-0ee6-4667-b5d2-4c32c6156e2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_with_numba = 0\n",
    "numba_references = Counter()\n",
    "for result in results:\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None and any(x == \"numba\" or x.startswith(\"numba.\") for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"])):\n",
    "            break\n",
    "    else:\n",
    "        continue\n",
    "    num_with_numba += 1\n",
    "\n",
    "    counter = Counter()\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None:\n",
    "            for x in pyfile[\"data\"][\"numba\"]:\n",
    "                y = x.lstrip(\"@\").split(\"(\")[0]\n",
    "                if x.startswith(\"numba.jit\") and \"nopython=True\" in x:\n",
    "                    y = \"numba.njit\"\n",
    "                counter[y] += 1\n",
    "\n",
    "    for x in counter:\n",
    "        numba_references[x] += 1\n",
    "\n",
    "numba_references = sorted(numba_references.items(), key=lambda x: -x[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "03d20f9a-b8e1-4aa5-8d22-70cb67cf82ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 9))\n",
    "\n",
    "(pd.Series(dict(numba_references[:50])).sort_values() / num_with_numba).plot.barh(ax=ax)\n",
    "ax.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax.set_title(\"top Numba API calls\")\n",
    "# ax1.set_xlim(0, 1)\n",
    "\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0e460446-393d-40af-82d6-4552d75a6511",
   "metadata": {},
   "outputs": [],
   "source": [
    "JIT_FUNCTIONS = {\"numba.jit\", \"numba.njit\", \"numba.generated_jit\", \"numba.vectorize\", \"numba.guvectorize\", \"numba.cfunc\", \"numba.cuda.jit\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "59fd8ccb-bb1f-4eed-b934-71b4addd7a4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 2))\n",
    "\n",
    "(pd.Series({k: v for k, v in numba_references if k in JIT_FUNCTIONS}).sort_values() / num_with_numba).plot.barh(ax=ax)\n",
    "ax.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax.set_title(\"Numba JIT API calls\")\n",
    "# ax1.set_xlim(0, 1)\n",
    "\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "91f4a816-7d44-4153-97da-ad3e5967873b",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_with_numba = 0\n",
    "jit_arguments = Counter()\n",
    "for result in results:\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None and any(x == \"numba\" or x.startswith(\"numba.\") for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"])):\n",
    "            break\n",
    "    else:\n",
    "        continue\n",
    "    num_with_numba += 1\n",
    "\n",
    "    counter = Counter()\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None:\n",
    "            for x in pyfile[\"data\"][\"numba\"]:\n",
    "                if \"(\" in x and (x.lstrip(\"@\").startswith(\"numba.jit\") or x.lstrip(\"@\").startswith(\"numba.njit\")):\n",
    "                    for arg in x.split(\"(\", 1)[1].rstrip(\")\").split(\",\"):\n",
    "                        if \"=\" in arg:\n",
    "                            counter[arg.strip()] += 1\n",
    "                if x.lstrip(\"@\").startswith(\"numba.njit\"):\n",
    "                    counter[\"nopython=True\"] += 1\n",
    "\n",
    "    for x in counter:\n",
    "        jit_arguments[x] += 1\n",
    "\n",
    "jit_arguments = sorted(jit_arguments.items(), key=lambda x: -x[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a8776768-e2c2-4e90-abc0-9a3c99baf6dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4.5))\n",
    "\n",
    "(pd.Series(dict(jit_arguments[:17])).sort_values() / num_with_numba).plot.barh(ax=ax)\n",
    "ax.set_xlabel(\"fraction of non-fork repos that contain 'import numba'\")\n",
    "ax.set_title(\"top numba.jit arguments\")\n",
    "# ax1.set_xlim(0, 1)\n",
    "\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bef1b1ad-02ad-4cf2-b4c6-9b130dfa3ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.13978001833180567"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_with_numba = 0\n",
    "num_with_numba_cuda = 0\n",
    "for result in results:\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None and any(x == \"numba\" or x.startswith(\"numba.\") for x in list(pyfile[\"data\"][\"top\"]) + list(pyfile[\"data\"][\"nested\"])):\n",
    "            break\n",
    "    else:\n",
    "        continue\n",
    "    num_with_numba += 1\n",
    "\n",
    "    any_cuda = False\n",
    "    for pyfile in result[\"python\"]:\n",
    "        if pyfile[\"data\"] is not None:\n",
    "            for x in pyfile[\"data\"][\"numba\"]:\n",
    "                if x.startswith(\"numba.cuda\"):\n",
    "                    any_cuda = True\n",
    "\n",
    "    if any_cuda:\n",
    "        num_with_numba_cuda += 1\n",
    "\n",
    "num_with_numba_cuda / num_with_numba"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}