This file is indexed.

/usr/lib/python2.7/dist-packages/PySPH-1.0a4.dev0-py2.7-linux-x86_64.egg/pysph/base/cython_generator.py is in python-pysph 0~20160514.git91867dc-4build1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
"""A simple code generator that generates high-performance Cython code
from equivalent Python code.

Note that this is not a general purpose code generator but one highly tailored
for use in PySPH for general use cases, Cython itself does a terrific job.
"""

try:
    from collections import OrderedDict
except ImportError:
    from ordereddict import OrderedDict
import inspect
import logging
from mako.template import Template
from textwrap import dedent
import types


from pysph.base.ast_utils import get_assigned, has_return
from pysph.base.config import get_config


logger = logging.getLogger(__name__)

class CythonClassHelper(object):
    def __init__(self, name='', public_vars=None, methods=None):
        self.name = name
        self.public_vars = public_vars
        self.methods = methods if methods is not None else []

    def generate(self):
        template = dedent("""
cdef class ${class_name}:
    %for name, type in public_vars.items():
    cdef public ${type} ${name}
    %endfor
    def __init__(self, **kwargs):
        for key, value in kwargs.items():
            setattr(self, key, value)

%for defn, body in methods:
    ${defn}
    %for line in body.splitlines():
${line}
    %endfor

%endfor
        """)
        t = Template(text=template)
        return t.render(class_name=self.name,
                        public_vars=self.public_vars,
                        methods=self.methods)

def get_func_definition(sourcelines):
    """Given a block of source lines for a method or function,
    get the lines for the function block.
    """
    # For now return the line after the first.
    count = 1
    for line in sourcelines:
        if line.rstrip().endswith('):'):
            break
        count += 1
    return sourcelines[:count], sourcelines[count:]


def all_numeric(seq):
    """Return true if all values in given sequence are numeric.
    """
    try:
        types = [int, float, long]
    except NameError:
        types = [int, float]
    return all(type(x) in types for x in seq)

class CodeGenerationError(Exception):
    pass

class Undefined(object):
    pass

class KnownType(object):
    """Simple object to specify a known type as a string.

    Smells but is convenient as the type may be one available only inside
    Cython without a corresponding Python type.
    """
    def __init__(self, type_str):
        self.type = type_str

    def __repr__(self):
        return 'KnownType("%s")'%self.type


class CythonGenerator(object):
    def __init__(self, known_types=None, python_methods=False):
        """
        Parameters
        -----------

        - known_types: dict: provides default types for known arguments.

        - python_methods: bool: generate python wrapper functions.

             specifies if convenient Python friendly wrappers are to be
             generated in addition to the low-level c wrappers.
        """

        self.code = ''
        self.python_methods = python_methods
        # Methods to not wrap.
        self.ignore_methods = ['_cython_code_']
        self.known_types = known_types if known_types is not None else {}
        self._config = get_config()

    ##### Public protocol #####################################################

    def ctype_to_python(self, type_str):
        """Given a c-style type declaration obtained from the `detect_type`
        method, return a Python friendly type declaration.
        """
        return type_str.replace('*', '[:]')

    def detect_type(self, name, value):
        """Given the variable name and value, detect its type.
        """
        if isinstance(value, KnownType):
            return value.type
        if name.startswith(('s_', 'd_')) and name not in ['s_idx', 'd_idx']:
            return 'double*'
        if name in ['s_idx', 'd_idx']:
            return 'long'
        if value is Undefined or isinstance(value, Undefined):
            raise CodeGenerationError('Unknown type, for %s'%name)

        if isinstance(value, bool):
            return 'int'
        elif isinstance(value, int):
            return 'long'
        elif isinstance(value, str):
            return 'str'
        elif isinstance(value, float):
            return 'double'
        elif isinstance(value, (list, tuple)):
            if all_numeric(value):
                # We don't deal with integer lists for now.
                return 'double*'
            else:
                return 'list' if isinstance(value, list) else 'tuple'
        else:
            return 'object'

    def get_code(self):
        return self.code

    def parse(self, obj):
        obj_type = type(obj)
        if obj_type is types.FunctionType:
            self._parse_function(obj)
        elif hasattr(obj, '__class__'):
            self._parse_instance(obj)
        else:
            raise TypeError('Unsupport type to wrap: %s'%obj_type)

    ###### Private protocol ###################################################

    def _analyze_method(self, meth, lines):
        """Returns information about the method.

        Specifically it returns the method name, if it has a return value,
        and a list of [(arg_name, value),...].
        """
        name = meth.__name__
        body = ''.join(lines)
        returns = has_return(dedent(body))
        argspec = inspect.getargspec(meth)
        args = argspec.args
        is_method = False
        if args and args[0] == 'self':
            args = args[1:]
            is_method = True
        defaults = argspec.defaults if argspec.defaults is not None else []

        # The call_args dict is filled up with the defaults to detect
        # the appropriate type of the arguments.
        call_args = {}

        for i in range(1, len(defaults)+1):
            call_args[args[-i]] = defaults[-i]

        # Set the rest to Undefined
        for i in range(len(args) - len(defaults)):
            call_args[args[i]] = Undefined

        # Make sure any predefined quantities are suitably typed.
        call_args.update(self.known_types)

        new_args = [('self', None)] if is_method else []
        for arg in args:
            value = call_args[arg]
            new_args.append((arg, value))

        return name, returns, new_args

    def _get_c_method_spec(self, name, returns, args):
        """Returns a C definition for the method.
        """
        c_args = []
        if args and args[0][0] == 'self':
            args = args[1:]
            c_args.append('self')

        for arg, value in args:
            c_type = self.detect_type(arg, value)
            c_args.append('{type} {arg}'.format(type=c_type, arg=arg))

        c_ret = 'double' if returns else 'void'
        c_arg_def = ', '.join(c_args)
        if self._config.use_openmp:
            ignore = ['reduce', 'converged']
            gil = " nogil" if name not in ignore else ""
        else:
            gil = ""
        cdefn = 'cdef inline {ret} {name}({arg_def}){gil}:'.format(
            ret=c_ret, name=name, arg_def=c_arg_def, gil=gil
        )

        return cdefn

    def _get_methods(self, cls):
        methods = []
        for name in dir(cls):
            if name.startswith('_'):
                continue
            meth = getattr(cls, name)
            if callable(meth):
                if name in self.ignore_methods:
                    continue

                c_code, py_code = self._get_method_wrapper(meth, indent=' '*8)
                methods.append(c_code)
                if self.python_methods:
                    methods.append(py_code)

        return methods

    def _get_method_body(self, meth, lines, indent=' '*8):
        args = set(inspect.getargspec(meth).args)
        src = [self._process_body_line(line) for line in lines]
        declared = [x[0] for x in src if len(x[0]) > 0]
        cython_body = ''.join([x[1] for x in src])
        body = ''.join(lines)
        dedented_body = dedent(body)
        symbols = get_assigned(dedented_body)
        undefined = symbols - set(declared) - args
        declare = [indent +'cdef double %s\n'%x for x in sorted(undefined)]
        code = ''.join(declare) + cython_body
        return code

    def _get_method_wrapper(self, meth, indent=' '*8):
        sourcelines = inspect.getsourcelines(meth)[0]
        defn, lines = get_func_definition(sourcelines)
        m_name, returns, args = self._analyze_method(meth, lines)
        c_defn = self._get_c_method_spec(m_name, returns, args)
        c_body = self._get_method_body(meth, lines, indent=indent)
        self.code = '{defn}\n{body}'.format(defn=c_defn, body=c_body)
        if self.python_methods:
            defn, body = self._get_py_method_spec(m_name, returns, args,
                                                  indent=indent)
        else:
            defn, body = None, None
        return (c_defn, c_body), (defn, body)

    def _get_public_vars(self, obj):
        # For now get it all from the dict.
        data = obj.__dict__
        vars = OrderedDict((name, self.detect_type(name, data[name]))
                            for name in sorted(data.keys()))
        return vars

    def _get_py_method_spec(self, name, returns, args, indent=' '*8):
        """Returns a Python friendly definition for the method along with the
        wrapper function.
        """
        py_args = []
        is_method = False
        if args and args[0][0] == 'self':
            is_method = True
            args = args[1:]
            py_args.append('self')

        call_sig = []
        for arg, value in args:
            c_type = self.detect_type(arg, value)
            py_type = self.ctype_to_python(c_type)
            py_args.append('{type} {arg}'.format(type=py_type, arg=arg))
            if c_type.endswith('*'):
                call_sig.append('&{arg}[0]'.format(arg=arg))
            else:
                call_sig.append('{arg}'.format(arg=arg))

        py_ret = ' double' if returns else ''
        py_arg_def = ', '.join(py_args)
        pydefn = 'cpdef{ret} py_{name}({arg_def}):'\
                     .format(ret=py_ret, name=name, arg_def=py_arg_def)
        call = ', '.join(call_sig)
        py_ret = 'return ' if returns else ''
        py_self = 'self.' if is_method else ''
        body = indent + '{ret}{self}{name}({call})'\
                    .format(name=name, call=call, ret=py_ret, self=py_self)

        return pydefn, body

    def _handle_declare_statement(self, name, declare):
        def matrix(size):
            sz = ''.join(['[%d]'%n for n in size])
            return sz

        # Remove the "declare('" and the trailing "')".
        code = declare[9:-2]
        if code.startswith('matrix'):
            sz = matrix(eval(code[7:-1]))
            defn = 'cdef double %s%s'%(name, sz)
            return defn
        else:
            defn = 'cdef {type} {name}'.format(type=code, name=name)
            return defn

    def _parse_function(self, obj):
        c_code, py_code = self._get_method_wrapper(obj, indent=' '*4)
        code = '{defn}\n{body}'.format(defn=c_code[0], body=c_code[1])
        if self.python_methods:
            code += '\n'
            code += '{defn}\n{body}'.format(defn=py_code[0], body=py_code[1])
        self.code = code

    def _parse_instance(self, obj):
        cls = obj.__class__
        name = cls.__name__
        public_vars = self._get_public_vars(obj)
        methods = self._get_methods(cls)
        helper = CythonClassHelper(name=name, public_vars=public_vars,
                                   methods=methods)
        self.code = helper.generate()

    def _process_body_line(self, line):
        """Returns the name defined and the processed line itself.

        This hack primarily lets us declare variables from Python and inject
        them into Cython code.
        """
        if '=' in line:
            words = [x.strip() for x in line.split('=')]
            if words[1].startswith('declare'):
                name = words[0]
                declare = words[1]
                defn = self._handle_declare_statement(name, declare)
                indent = line[:line.index(name)]
                return name, indent + defn + '\n'
            else:
                return '', line
        else:
            return '', line