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251,500 | SAP/PyHDB | pyhdb/protocol/lobs.py | Lob.seek | def seek(self, offset, whence=SEEK_SET):
"""Seek pointer in lob data buffer to requested position.
Might trigger further loading of data from the database if the pointer is beyond currently read data.
"""
# A nice trick is to (ab)use BytesIO.seek() to go to the desired position for easier calculation.
# This will not add any data to the buffer however - very convenient!
self.data.seek(offset, whence)
new_pos = self.data.tell()
missing_bytes_to_read = new_pos - self._current_lob_length
if missing_bytes_to_read > 0:
# Trying to seek beyond currently available LOB data, so need to load some more first.
# We are smart here: (at least trying...):
# If a user sets a certain file position s/he probably wants to read data from
# there. So already read some extra data to avoid yet another immediate
# reading step. Try with EXTRA_NUM_ITEMS_TO_READ_AFTER_SEEK additional items (bytes/chars).
# jump to the end of the current buffer and read the new data:
self.data.seek(0, SEEK_END)
self.read(missing_bytes_to_read + self.EXTRA_NUM_ITEMS_TO_READ_AFTER_SEEK)
# reposition file pointer a originally desired position:
self.data.seek(new_pos)
return new_pos | python | def seek(self, offset, whence=SEEK_SET):
# A nice trick is to (ab)use BytesIO.seek() to go to the desired position for easier calculation.
# This will not add any data to the buffer however - very convenient!
self.data.seek(offset, whence)
new_pos = self.data.tell()
missing_bytes_to_read = new_pos - self._current_lob_length
if missing_bytes_to_read > 0:
# Trying to seek beyond currently available LOB data, so need to load some more first.
# We are smart here: (at least trying...):
# If a user sets a certain file position s/he probably wants to read data from
# there. So already read some extra data to avoid yet another immediate
# reading step. Try with EXTRA_NUM_ITEMS_TO_READ_AFTER_SEEK additional items (bytes/chars).
# jump to the end of the current buffer and read the new data:
self.data.seek(0, SEEK_END)
self.read(missing_bytes_to_read + self.EXTRA_NUM_ITEMS_TO_READ_AFTER_SEEK)
# reposition file pointer a originally desired position:
self.data.seek(new_pos)
return new_pos | [
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Might trigger further loading of data from the database if the pointer is beyond currently read data. | [
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251,501 | SAP/PyHDB | pyhdb/protocol/lobs.py | Lob._read_missing_lob_data_from_db | def _read_missing_lob_data_from_db(self, readoffset, readlength):
"""Read LOB request part from database"""
logger.debug('Reading missing lob data from db. Offset: %d, readlength: %d' % (readoffset, readlength))
lob_data = self._make_read_lob_request(readoffset, readlength)
# make sure we really got as many items (not bytes!) as requested:
enc_lob_data = self._decode_lob_data(lob_data)
assert readlength == len(enc_lob_data), 'expected: %d, received; %d' % (readlength, len(enc_lob_data))
# jump to end of data, and append new and properly decoded data to it:
# import pdb;pdb.set_trace()
self.data.seek(0, SEEK_END)
self.data.write(enc_lob_data)
self._current_lob_length = len(self.data.getvalue()) | python | def _read_missing_lob_data_from_db(self, readoffset, readlength):
logger.debug('Reading missing lob data from db. Offset: %d, readlength: %d' % (readoffset, readlength))
lob_data = self._make_read_lob_request(readoffset, readlength)
# make sure we really got as many items (not bytes!) as requested:
enc_lob_data = self._decode_lob_data(lob_data)
assert readlength == len(enc_lob_data), 'expected: %d, received; %d' % (readlength, len(enc_lob_data))
# jump to end of data, and append new and properly decoded data to it:
# import pdb;pdb.set_trace()
self.data.seek(0, SEEK_END)
self.data.write(enc_lob_data)
self._current_lob_length = len(self.data.getvalue()) | [
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] | 826539d06b8bcef74fe755e7489b8a8255628f12 | https://github.com/SAP/PyHDB/blob/826539d06b8bcef74fe755e7489b8a8255628f12/pyhdb/protocol/lobs.py#L152-L165 |
251,502 | SAP/PyHDB | pyhdb/protocol/lobs.py | Clob._init_io_container | def _init_io_container(self, init_value):
"""Initialize container to hold lob data.
Here either a cStringIO or a io.StringIO class is used depending on the Python version.
For CLobs ensure that an initial unicode value only contains valid ascii chars.
"""
if isinstance(init_value, CLOB_STRING_IO_CLASSES):
# already a valid StringIO instance, just use it as it is
v = init_value
else:
# works for strings and unicodes. However unicodes must only contain valid ascii chars!
if PY3:
# a io.StringIO also accepts any unicode characters, but we must be sure that only
# ascii chars are contained. In PY2 we use a cStringIO class which complains by itself
# if it catches this case, so in PY2 no extra check needs to be performed here.
init_value.encode('ascii') # this is just a check, result not needed!
v = CLOB_STRING_IO(init_value)
return v | python | def _init_io_container(self, init_value):
if isinstance(init_value, CLOB_STRING_IO_CLASSES):
# already a valid StringIO instance, just use it as it is
v = init_value
else:
# works for strings and unicodes. However unicodes must only contain valid ascii chars!
if PY3:
# a io.StringIO also accepts any unicode characters, but we must be sure that only
# ascii chars are contained. In PY2 we use a cStringIO class which complains by itself
# if it catches this case, so in PY2 no extra check needs to be performed here.
init_value.encode('ascii') # this is just a check, result not needed!
v = CLOB_STRING_IO(init_value)
return v | [
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Here either a cStringIO or a io.StringIO class is used depending on the Python version.
For CLobs ensure that an initial unicode value only contains valid ascii chars. | [
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251,503 | SAP/PyHDB | pyhdb/cursor.py | Cursor._handle_upsert | def _handle_upsert(self, parts, unwritten_lobs=()):
"""Handle reply messages from INSERT or UPDATE statements"""
self.description = None
self._received_last_resultset_part = True # set to 'True' so that cursor.fetch*() returns just empty list
for part in parts:
if part.kind == part_kinds.ROWSAFFECTED:
self.rowcount = part.values[0]
elif part.kind in (part_kinds.TRANSACTIONFLAGS, part_kinds.STATEMENTCONTEXT, part_kinds.PARAMETERMETADATA):
pass
elif part.kind == part_kinds.WRITELOBREPLY:
# This part occurrs after lobs have been submitted not at all or only partially during an insert.
# In this case the parameter part of the Request message contains a list called 'unwritten_lobs'
# with LobBuffer instances.
# Those instances are in the same order as 'locator_ids' received in the reply message. These IDs
# are then used to deliver the missing LOB data to the server via WRITE_LOB_REQUESTs.
for lob_buffer, lob_locator_id in izip(unwritten_lobs, part.locator_ids):
# store locator_id in every lob buffer instance for later reference:
lob_buffer.locator_id = lob_locator_id
self._perform_lob_write_requests(unwritten_lobs)
else:
raise InterfaceError("Prepared insert statement response, unexpected part kind %d." % part.kind)
self._executed = True | python | def _handle_upsert(self, parts, unwritten_lobs=()):
self.description = None
self._received_last_resultset_part = True # set to 'True' so that cursor.fetch*() returns just empty list
for part in parts:
if part.kind == part_kinds.ROWSAFFECTED:
self.rowcount = part.values[0]
elif part.kind in (part_kinds.TRANSACTIONFLAGS, part_kinds.STATEMENTCONTEXT, part_kinds.PARAMETERMETADATA):
pass
elif part.kind == part_kinds.WRITELOBREPLY:
# This part occurrs after lobs have been submitted not at all or only partially during an insert.
# In this case the parameter part of the Request message contains a list called 'unwritten_lobs'
# with LobBuffer instances.
# Those instances are in the same order as 'locator_ids' received in the reply message. These IDs
# are then used to deliver the missing LOB data to the server via WRITE_LOB_REQUESTs.
for lob_buffer, lob_locator_id in izip(unwritten_lobs, part.locator_ids):
# store locator_id in every lob buffer instance for later reference:
lob_buffer.locator_id = lob_locator_id
self._perform_lob_write_requests(unwritten_lobs)
else:
raise InterfaceError("Prepared insert statement response, unexpected part kind %d." % part.kind)
self._executed = True | [
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251,504 | SAP/PyHDB | pyhdb/cursor.py | Cursor._handle_select | def _handle_select(self, parts, result_metadata=None):
"""Handle reply messages from SELECT statements"""
self.rowcount = -1
if result_metadata is not None:
# Select was prepared and we can use the already received metadata
self.description, self._column_types = self._handle_result_metadata(result_metadata)
for part in parts:
if part.kind == part_kinds.RESULTSETID:
self._resultset_id = part.value
elif part.kind == part_kinds.RESULTSETMETADATA:
self.description, self._column_types = self._handle_result_metadata(part)
elif part.kind == part_kinds.RESULTSET:
self._buffer = part.unpack_rows(self._column_types, self.connection)
self._received_last_resultset_part = part.attribute & 1
self._executed = True
elif part.kind in (part_kinds.STATEMENTCONTEXT, part_kinds.TRANSACTIONFLAGS, part_kinds.PARAMETERMETADATA):
pass
else:
raise InterfaceError("Prepared select statement response, unexpected part kind %d." % part.kind) | python | def _handle_select(self, parts, result_metadata=None):
self.rowcount = -1
if result_metadata is not None:
# Select was prepared and we can use the already received metadata
self.description, self._column_types = self._handle_result_metadata(result_metadata)
for part in parts:
if part.kind == part_kinds.RESULTSETID:
self._resultset_id = part.value
elif part.kind == part_kinds.RESULTSETMETADATA:
self.description, self._column_types = self._handle_result_metadata(part)
elif part.kind == part_kinds.RESULTSET:
self._buffer = part.unpack_rows(self._column_types, self.connection)
self._received_last_resultset_part = part.attribute & 1
self._executed = True
elif part.kind in (part_kinds.STATEMENTCONTEXT, part_kinds.TRANSACTIONFLAGS, part_kinds.PARAMETERMETADATA):
pass
else:
raise InterfaceError("Prepared select statement response, unexpected part kind %d." % part.kind) | [
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251,505 | SAP/PyHDB | pyhdb/cursor.py | Cursor._handle_dbproc_call | def _handle_dbproc_call(self, parts, parameters_metadata):
"""Handle reply messages from STORED PROCEDURE statements"""
for part in parts:
if part.kind == part_kinds.ROWSAFFECTED:
self.rowcount = part.values[0]
elif part.kind == part_kinds.TRANSACTIONFLAGS:
pass
elif part.kind == part_kinds.STATEMENTCONTEXT:
pass
elif part.kind == part_kinds.OUTPUTPARAMETERS:
self._buffer = part.unpack_rows(parameters_metadata, self.connection)
self._received_last_resultset_part = True
self._executed = True
elif part.kind == part_kinds.RESULTSETMETADATA:
self.description, self._column_types = self._handle_result_metadata(part)
elif part.kind == part_kinds.RESULTSETID:
self._resultset_id = part.value
elif part.kind == part_kinds.RESULTSET:
self._buffer = part.unpack_rows(self._column_types, self.connection)
self._received_last_resultset_part = part.attribute & 1
self._executed = True
else:
raise InterfaceError("Stored procedure call, unexpected part kind %d." % part.kind)
self._executed = True | python | def _handle_dbproc_call(self, parts, parameters_metadata):
for part in parts:
if part.kind == part_kinds.ROWSAFFECTED:
self.rowcount = part.values[0]
elif part.kind == part_kinds.TRANSACTIONFLAGS:
pass
elif part.kind == part_kinds.STATEMENTCONTEXT:
pass
elif part.kind == part_kinds.OUTPUTPARAMETERS:
self._buffer = part.unpack_rows(parameters_metadata, self.connection)
self._received_last_resultset_part = True
self._executed = True
elif part.kind == part_kinds.RESULTSETMETADATA:
self.description, self._column_types = self._handle_result_metadata(part)
elif part.kind == part_kinds.RESULTSETID:
self._resultset_id = part.value
elif part.kind == part_kinds.RESULTSET:
self._buffer = part.unpack_rows(self._column_types, self.connection)
self._received_last_resultset_part = part.attribute & 1
self._executed = True
else:
raise InterfaceError("Stored procedure call, unexpected part kind %d." % part.kind)
self._executed = True | [
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] | Handle reply messages from STORED PROCEDURE statements | [
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"reply",
"messages",
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] | 826539d06b8bcef74fe755e7489b8a8255628f12 | https://github.com/SAP/PyHDB/blob/826539d06b8bcef74fe755e7489b8a8255628f12/pyhdb/cursor.py#L349-L372 |
251,506 | SAP/PyHDB | pyhdb/lib/stringlib.py | allhexlify | def allhexlify(data):
"""Hexlify given data into a string representation with hex values for all chars
Input like
'ab\x04ce'
becomes
'\x61\x62\x04\x63\x65'
"""
hx = binascii.hexlify(data)
return b''.join([b'\\x' + o for o in re.findall(b'..', hx)]) | python | def allhexlify(data):
hx = binascii.hexlify(data)
return b''.join([b'\\x' + o for o in re.findall(b'..', hx)]) | [
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251,507 | SAP/PyHDB | pyhdb/protocol/parts.py | Part.pack | def pack(self, remaining_size):
"""Pack data of part into binary format"""
arguments_count, payload = self.pack_data(remaining_size - self.header_size)
payload_length = len(payload)
# align payload length to multiple of 8
if payload_length % 8 != 0:
payload += b"\x00" * (8 - payload_length % 8)
self.header = PartHeader(self.kind, self.attribute, arguments_count, self.bigargumentcount,
payload_length, remaining_size)
hdr = self.header_struct.pack(*self.header)
if pyhdb.tracing:
self.trace_header = humanhexlify(hdr, 30)
self.trace_payload = humanhexlify(payload, 30)
return hdr + payload | python | def pack(self, remaining_size):
arguments_count, payload = self.pack_data(remaining_size - self.header_size)
payload_length = len(payload)
# align payload length to multiple of 8
if payload_length % 8 != 0:
payload += b"\x00" * (8 - payload_length % 8)
self.header = PartHeader(self.kind, self.attribute, arguments_count, self.bigargumentcount,
payload_length, remaining_size)
hdr = self.header_struct.pack(*self.header)
if pyhdb.tracing:
self.trace_header = humanhexlify(hdr, 30)
self.trace_payload = humanhexlify(payload, 30)
return hdr + payload | [
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251,508 | SAP/PyHDB | pyhdb/protocol/parts.py | Part.unpack_from | def unpack_from(cls, payload, expected_parts):
"""Unpack parts from payload"""
for num_part in iter_range(expected_parts):
hdr = payload.read(cls.header_size)
try:
part_header = PartHeader(*cls.header_struct.unpack(hdr))
except struct.error:
raise InterfaceError("No valid part header")
if part_header.payload_size % 8 != 0:
part_payload_size = part_header.payload_size + 8 - (part_header.payload_size % 8)
else:
part_payload_size = part_header.payload_size
pl = payload.read(part_payload_size)
part_payload = io.BytesIO(pl)
try:
_PartClass = PART_MAPPING[part_header.part_kind]
except KeyError:
raise InterfaceError("Unknown part kind %s" % part_header.part_kind)
debug('%s (%d/%d): %s', _PartClass.__name__, num_part+1, expected_parts, str(part_header))
debug('Read %d bytes payload for part %d', part_payload_size, num_part + 1)
init_arguments = _PartClass.unpack_data(part_header.argument_count, part_payload)
debug('Part data: %s', init_arguments)
part = _PartClass(*init_arguments)
part.header = part_header
part.attribute = part_header.part_attributes
part.source = 'server'
if pyhdb.tracing:
part.trace_header = humanhexlify(hdr[:part_header.payload_size])
part.trace_payload = humanhexlify(pl, 30)
yield part | python | def unpack_from(cls, payload, expected_parts):
for num_part in iter_range(expected_parts):
hdr = payload.read(cls.header_size)
try:
part_header = PartHeader(*cls.header_struct.unpack(hdr))
except struct.error:
raise InterfaceError("No valid part header")
if part_header.payload_size % 8 != 0:
part_payload_size = part_header.payload_size + 8 - (part_header.payload_size % 8)
else:
part_payload_size = part_header.payload_size
pl = payload.read(part_payload_size)
part_payload = io.BytesIO(pl)
try:
_PartClass = PART_MAPPING[part_header.part_kind]
except KeyError:
raise InterfaceError("Unknown part kind %s" % part_header.part_kind)
debug('%s (%d/%d): %s', _PartClass.__name__, num_part+1, expected_parts, str(part_header))
debug('Read %d bytes payload for part %d', part_payload_size, num_part + 1)
init_arguments = _PartClass.unpack_data(part_header.argument_count, part_payload)
debug('Part data: %s', init_arguments)
part = _PartClass(*init_arguments)
part.header = part_header
part.attribute = part_header.part_attributes
part.source = 'server'
if pyhdb.tracing:
part.trace_header = humanhexlify(hdr[:part_header.payload_size])
part.trace_payload = humanhexlify(pl, 30)
yield part | [
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] | 826539d06b8bcef74fe755e7489b8a8255628f12 | https://github.com/SAP/PyHDB/blob/826539d06b8bcef74fe755e7489b8a8255628f12/pyhdb/protocol/parts.py#L122-L155 |
251,509 | SAP/PyHDB | pyhdb/protocol/parts.py | ReadLobRequest.pack_data | def pack_data(self, remaining_size):
"""Pack data. readoffset has to be increased by one, seems like HANA starts from 1, not zero."""
payload = self.part_struct.pack(self.locator_id, self.readoffset + 1, self.readlength, b' ')
return 4, payload | python | def pack_data(self, remaining_size):
payload = self.part_struct.pack(self.locator_id, self.readoffset + 1, self.readlength, b' ')
return 4, payload | [
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251,510 | SAP/PyHDB | pyhdb/protocol/message.py | RequestMessage.build_payload | def build_payload(self, payload):
""" Build payload of message. """
for segment in self.segments:
segment.pack(payload, commit=self.autocommit) | python | def build_payload(self, payload):
for segment in self.segments:
segment.pack(payload, commit=self.autocommit) | [
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251,511 | SAP/PyHDB | pyhdb/protocol/message.py | RequestMessage.pack | def pack(self):
""" Pack message to binary stream. """
payload = io.BytesIO()
# Advance num bytes equal to header size - the header is written later
# after the payload of all segments and parts has been written:
payload.seek(self.header_size, io.SEEK_CUR)
# Write out payload of segments and parts:
self.build_payload(payload)
packet_length = len(payload.getvalue()) - self.header_size
self.header = MessageHeader(self.session_id, self.packet_count, packet_length, constants.MAX_SEGMENT_SIZE,
num_segments=len(self.segments), packet_options=0)
packed_header = self.header_struct.pack(*self.header)
# Go back to begining of payload for writing message header:
payload.seek(0)
payload.write(packed_header)
payload.seek(0, io.SEEK_END)
trace(self)
return payload | python | def pack(self):
payload = io.BytesIO()
# Advance num bytes equal to header size - the header is written later
# after the payload of all segments and parts has been written:
payload.seek(self.header_size, io.SEEK_CUR)
# Write out payload of segments and parts:
self.build_payload(payload)
packet_length = len(payload.getvalue()) - self.header_size
self.header = MessageHeader(self.session_id, self.packet_count, packet_length, constants.MAX_SEGMENT_SIZE,
num_segments=len(self.segments), packet_options=0)
packed_header = self.header_struct.pack(*self.header)
# Go back to begining of payload for writing message header:
payload.seek(0)
payload.write(packed_header)
payload.seek(0, io.SEEK_END)
trace(self)
return payload | [
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251,512 | serge-sans-paille/pythran | pythran/syntax.py | check_specs | def check_specs(specs, renamings, types):
'''
Does nothing but raising PythranSyntaxError if specs
are incompatible with the actual code
'''
from pythran.types.tog import unify, clone, tr
from pythran.types.tog import Function, TypeVariable, InferenceError
functions = {renamings.get(k, k): v for k, v in specs.functions.items()}
for fname, signatures in functions.items():
ftype = types[fname]
for signature in signatures:
sig_type = Function([tr(p) for p in signature], TypeVariable())
try:
unify(clone(sig_type), clone(ftype))
except InferenceError:
raise PythranSyntaxError(
"Specification for `{}` does not match inferred type:\n"
"expected `{}`\n"
"got `Callable[[{}], ...]`".format(
fname,
ftype,
", ".join(map(str, sig_type.types[:-1])))
) | python | def check_specs(specs, renamings, types):
'''
Does nothing but raising PythranSyntaxError if specs
are incompatible with the actual code
'''
from pythran.types.tog import unify, clone, tr
from pythran.types.tog import Function, TypeVariable, InferenceError
functions = {renamings.get(k, k): v for k, v in specs.functions.items()}
for fname, signatures in functions.items():
ftype = types[fname]
for signature in signatures:
sig_type = Function([tr(p) for p in signature], TypeVariable())
try:
unify(clone(sig_type), clone(ftype))
except InferenceError:
raise PythranSyntaxError(
"Specification for `{}` does not match inferred type:\n"
"expected `{}`\n"
"got `Callable[[{}], ...]`".format(
fname,
ftype,
", ".join(map(str, sig_type.types[:-1])))
) | [
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251,513 | serge-sans-paille/pythran | pythran/syntax.py | check_exports | def check_exports(mod, specs, renamings):
'''
Does nothing but raising PythranSyntaxError if specs
references an undefined global
'''
functions = {renamings.get(k, k): v for k, v in specs.functions.items()}
mod_functions = {node.name: node for node in mod.body
if isinstance(node, ast.FunctionDef)}
for fname, signatures in functions.items():
try:
fnode = mod_functions[fname]
except KeyError:
raise PythranSyntaxError(
"Invalid spec: exporting undefined function `{}`"
.format(fname))
for signature in signatures:
args_count = len(fnode.args.args)
if len(signature) > args_count:
raise PythranSyntaxError(
"Too many arguments when exporting `{}`"
.format(fname))
elif len(signature) < args_count - len(fnode.args.defaults):
raise PythranSyntaxError(
"Not enough arguments when exporting `{}`"
.format(fname)) | python | def check_exports(mod, specs, renamings):
'''
Does nothing but raising PythranSyntaxError if specs
references an undefined global
'''
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if isinstance(node, ast.FunctionDef)}
for fname, signatures in functions.items():
try:
fnode = mod_functions[fname]
except KeyError:
raise PythranSyntaxError(
"Invalid spec: exporting undefined function `{}`"
.format(fname))
for signature in signatures:
args_count = len(fnode.args.args)
if len(signature) > args_count:
raise PythranSyntaxError(
"Too many arguments when exporting `{}`"
.format(fname))
elif len(signature) < args_count - len(fnode.args.defaults):
raise PythranSyntaxError(
"Not enough arguments when exporting `{}`"
.format(fname)) | [
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251,514 | serge-sans-paille/pythran | pythran/syntax.py | SyntaxChecker.visit_Import | def visit_Import(self, node):
""" Check if imported module exists in MODULES. """
for alias in node.names:
current_module = MODULES
# Recursive check for submodules
for path in alias.name.split('.'):
if path not in current_module:
raise PythranSyntaxError(
"Module '{0}' unknown.".format(alias.name),
node)
else:
current_module = current_module[path] | python | def visit_Import(self, node):
for alias in node.names:
current_module = MODULES
# Recursive check for submodules
for path in alias.name.split('.'):
if path not in current_module:
raise PythranSyntaxError(
"Module '{0}' unknown.".format(alias.name),
node)
else:
current_module = current_module[path] | [
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251,515 | serge-sans-paille/pythran | pythran/syntax.py | SyntaxChecker.visit_ImportFrom | def visit_ImportFrom(self, node):
"""
Check validity of imported functions.
Check:
- no level specific value are provided.
- a module is provided
- module/submodule exists in MODULES
- imported function exists in the given module/submodule
"""
if node.level:
raise PythranSyntaxError("Relative import not supported", node)
if not node.module:
raise PythranSyntaxError("import from without module", node)
module = node.module
current_module = MODULES
# Check if module exists
for path in module.split('.'):
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current_module = current_module[path]
# Check if imported functions exist
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continue
elif alias.name not in current_module:
raise PythranSyntaxError(
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alias.name,
module),
node) | python | def visit_ImportFrom(self, node):
if node.level:
raise PythranSyntaxError("Relative import not supported", node)
if not node.module:
raise PythranSyntaxError("import from without module", node)
module = node.module
current_module = MODULES
# Check if module exists
for path in module.split('.'):
if path not in current_module:
raise PythranSyntaxError(
"Module '{0}' unknown.".format(module),
node)
else:
current_module = current_module[path]
# Check if imported functions exist
for alias in node.names:
if alias.name == '*':
continue
elif alias.name not in current_module:
raise PythranSyntaxError(
"identifier '{0}' not found in module '{1}'".format(
alias.name,
module),
node) | [
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251,516 | serge-sans-paille/pythran | pythran/passmanager.py | uncamel | def uncamel(name):
"""Transform CamelCase naming convention into C-ish convention."""
s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name)
return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() | python | def uncamel(name):
s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name)
return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() | [
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251,517 | serge-sans-paille/pythran | pythran/passmanager.py | ContextManager.verify_dependencies | def verify_dependencies(self):
"""
Checks no analysis are called before a transformation,
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"""
for i in range(1, len(self.deps)):
assert(not (isinstance(self.deps[i], Transformation) and
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), "invalid dep order for %s" % self | python | def verify_dependencies(self):
for i in range(1, len(self.deps)):
assert(not (isinstance(self.deps[i], Transformation) and
isinstance(self.deps[i - 1], Analysis))
), "invalid dep order for %s" % self | [
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251,518 | serge-sans-paille/pythran | pythran/passmanager.py | ContextManager.prepare | def prepare(self, node):
'''Gather analysis result required by this analysis'''
if isinstance(node, ast.Module):
self.ctx.module = node
elif isinstance(node, ast.FunctionDef):
self.ctx.function = node
for D in self.deps:
d = D()
d.attach(self.passmanager, self.ctx)
result = d.run(node)
setattr(self, uncamel(D.__name__), result) | python | def prepare(self, node):
'''Gather analysis result required by this analysis'''
if isinstance(node, ast.Module):
self.ctx.module = node
elif isinstance(node, ast.FunctionDef):
self.ctx.function = node
for D in self.deps:
d = D()
d.attach(self.passmanager, self.ctx)
result = d.run(node)
setattr(self, uncamel(D.__name__), result) | [
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251,519 | serge-sans-paille/pythran | pythran/passmanager.py | Transformation.run | def run(self, node):
""" Apply transformation and dependencies and fix new node location."""
n = super(Transformation, self).run(node)
if self.update:
ast.fix_missing_locations(n)
self.passmanager._cache.clear()
return n | python | def run(self, node):
n = super(Transformation, self).run(node)
if self.update:
ast.fix_missing_locations(n)
self.passmanager._cache.clear()
return n | [
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251,520 | serge-sans-paille/pythran | pythran/passmanager.py | Transformation.apply | def apply(self, node):
""" Apply transformation and return if an update happened. """
new_node = self.run(node)
return self.update, new_node | python | def apply(self, node):
new_node = self.run(node)
return self.update, new_node | [
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251,521 | serge-sans-paille/pythran | pythran/passmanager.py | PassManager.gather | def gather(self, analysis, node):
"High-level function to call an `analysis' on a `node'"
assert issubclass(analysis, Analysis)
a = analysis()
a.attach(self)
return a.run(node) | python | def gather(self, analysis, node):
"High-level function to call an `analysis' on a `node'"
assert issubclass(analysis, Analysis)
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251,522 | serge-sans-paille/pythran | pythran/passmanager.py | PassManager.dump | def dump(self, backend, node):
'''High-level function to call a `backend' on a `node' to generate
code for module `module_name'.'''
assert issubclass(backend, Backend)
b = backend()
b.attach(self)
return b.run(node) | python | def dump(self, backend, node):
'''High-level function to call a `backend' on a `node' to generate
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assert issubclass(backend, Backend)
b = backend()
b.attach(self)
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251,523 | serge-sans-paille/pythran | pythran/passmanager.py | PassManager.apply | def apply(self, transformation, node):
'''
High-level function to call a `transformation' on a `node'.
If the transformation is an analysis, the result of the analysis
is displayed.
'''
assert issubclass(transformation, (Transformation, Analysis))
a = transformation()
a.attach(self)
res = a.apply(node)
# the transformation updated the AST, so analyse may need to be rerun
# we could use a finer-grain caching system, and provide a way to flag
# some analyses as `unmodified' by the transformation, as done in LLVM
# (and PIPS ;-)
if a.update:
self._cache.clear()
return res | python | def apply(self, transformation, node):
'''
High-level function to call a `transformation' on a `node'.
If the transformation is an analysis, the result of the analysis
is displayed.
'''
assert issubclass(transformation, (Transformation, Analysis))
a = transformation()
a.attach(self)
res = a.apply(node)
# the transformation updated the AST, so analyse may need to be rerun
# we could use a finer-grain caching system, and provide a way to flag
# some analyses as `unmodified' by the transformation, as done in LLVM
# (and PIPS ;-)
if a.update:
self._cache.clear()
return res | [
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If the transformation is an analysis, the result of the analysis
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251,524 | serge-sans-paille/pythran | pythran/types/conversion.py | pytype_to_ctype | def pytype_to_ctype(t):
""" Python -> pythonic type binding. """
if isinstance(t, List):
return 'pythonic::types::list<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Set):
return 'pythonic::types::set<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return 'pythonic::types::dict<{0},{1}>'.format(pytype_to_ctype(tkey),
pytype_to_ctype(tvalue))
elif isinstance(t, Tuple):
return 'decltype(pythonic::types::make_tuple({0}))'.format(
", ".join('std::declval<{}>()'.format(pytype_to_ctype(p))
for p in t.__args__)
)
elif isinstance(t, NDArray):
dtype = pytype_to_ctype(t.__args__[0])
ndim = len(t.__args__) - 1
shapes = ','.join(('long'
if s.stop == -1 or s.stop is None
else 'std::integral_constant<long, {}>'.format(
s.stop)
) for s in t.__args__[1:])
pshape = 'pythonic::types::pshape<{0}>'.format(shapes)
arr = 'pythonic::types::ndarray<{0},{1}>'.format(
dtype, pshape)
if t.__args__[1].start == -1:
return 'pythonic::types::numpy_texpr<{0}>'.format(arr)
elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]):
slices = ", ".join(['pythonic::types::normalized_slice'] * ndim)
return 'pythonic::types::numpy_gexpr<{0},{1}>'.format(arr, slices)
else:
return arr
elif isinstance(t, Pointer):
return 'pythonic::types::pointer<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Fun):
return 'pythonic::types::cfun<{0}({1})>'.format(
pytype_to_ctype(t.__args__[-1]),
", ".join(pytype_to_ctype(arg) for arg in t.__args__[:-1]),
)
elif t in PYTYPE_TO_CTYPE_TABLE:
return PYTYPE_TO_CTYPE_TABLE[t]
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | python | def pytype_to_ctype(t):
if isinstance(t, List):
return 'pythonic::types::list<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Set):
return 'pythonic::types::set<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return 'pythonic::types::dict<{0},{1}>'.format(pytype_to_ctype(tkey),
pytype_to_ctype(tvalue))
elif isinstance(t, Tuple):
return 'decltype(pythonic::types::make_tuple({0}))'.format(
", ".join('std::declval<{}>()'.format(pytype_to_ctype(p))
for p in t.__args__)
)
elif isinstance(t, NDArray):
dtype = pytype_to_ctype(t.__args__[0])
ndim = len(t.__args__) - 1
shapes = ','.join(('long'
if s.stop == -1 or s.stop is None
else 'std::integral_constant<long, {}>'.format(
s.stop)
) for s in t.__args__[1:])
pshape = 'pythonic::types::pshape<{0}>'.format(shapes)
arr = 'pythonic::types::ndarray<{0},{1}>'.format(
dtype, pshape)
if t.__args__[1].start == -1:
return 'pythonic::types::numpy_texpr<{0}>'.format(arr)
elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]):
slices = ", ".join(['pythonic::types::normalized_slice'] * ndim)
return 'pythonic::types::numpy_gexpr<{0},{1}>'.format(arr, slices)
else:
return arr
elif isinstance(t, Pointer):
return 'pythonic::types::pointer<{0}>'.format(
pytype_to_ctype(t.__args__[0])
)
elif isinstance(t, Fun):
return 'pythonic::types::cfun<{0}({1})>'.format(
pytype_to_ctype(t.__args__[-1]),
", ".join(pytype_to_ctype(arg) for arg in t.__args__[:-1]),
)
elif t in PYTYPE_TO_CTYPE_TABLE:
return PYTYPE_TO_CTYPE_TABLE[t]
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | [
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251,525 | serge-sans-paille/pythran | pythran/types/conversion.py | pytype_to_pretty_type | def pytype_to_pretty_type(t):
""" Python -> docstring type. """
if isinstance(t, List):
return '{0} list'.format(pytype_to_pretty_type(t.__args__[0]))
elif isinstance(t, Set):
return '{0} set'.format(pytype_to_pretty_type(t.__args__[0]))
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return '{0}:{1} dict'.format(pytype_to_pretty_type(tkey),
pytype_to_pretty_type(tvalue))
elif isinstance(t, Tuple):
return '({0})'.format(
", ".join(pytype_to_pretty_type(p) for p in t.__args__)
)
elif isinstance(t, NDArray):
dtype = pytype_to_pretty_type(t.__args__[0])
ndim = len(t.__args__) - 1
arr = '{0}[{1}]'.format(
dtype,
','.join(':' if s.stop in (-1, None) else str(s.stop)
for s in t.__args__[1:]))
# it's a transpose!
if t.__args__[1].start == -1:
return '{} order(F)'.format(arr)
elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]):
return '{0}[{1}]'.format(dtype, ','.join(['::'] * ndim))
else:
return arr
elif isinstance(t, Pointer):
dtype = pytype_to_pretty_type(t.__args__[0])
return '{}*'.format(dtype)
elif isinstance(t, Fun):
rtype = pytype_to_pretty_type(t.__args__[-1])
argtypes = [pytype_to_pretty_type(arg) for arg in t.__args__[:-1]]
return '{}({})'.format(rtype, ", ".join(argtypes))
elif t in PYTYPE_TO_CTYPE_TABLE:
return t.__name__
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | python | def pytype_to_pretty_type(t):
if isinstance(t, List):
return '{0} list'.format(pytype_to_pretty_type(t.__args__[0]))
elif isinstance(t, Set):
return '{0} set'.format(pytype_to_pretty_type(t.__args__[0]))
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return '{0}:{1} dict'.format(pytype_to_pretty_type(tkey),
pytype_to_pretty_type(tvalue))
elif isinstance(t, Tuple):
return '({0})'.format(
", ".join(pytype_to_pretty_type(p) for p in t.__args__)
)
elif isinstance(t, NDArray):
dtype = pytype_to_pretty_type(t.__args__[0])
ndim = len(t.__args__) - 1
arr = '{0}[{1}]'.format(
dtype,
','.join(':' if s.stop in (-1, None) else str(s.stop)
for s in t.__args__[1:]))
# it's a transpose!
if t.__args__[1].start == -1:
return '{} order(F)'.format(arr)
elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]):
return '{0}[{1}]'.format(dtype, ','.join(['::'] * ndim))
else:
return arr
elif isinstance(t, Pointer):
dtype = pytype_to_pretty_type(t.__args__[0])
return '{}*'.format(dtype)
elif isinstance(t, Fun):
rtype = pytype_to_pretty_type(t.__args__[-1])
argtypes = [pytype_to_pretty_type(arg) for arg in t.__args__[:-1]]
return '{}({})'.format(rtype, ", ".join(argtypes))
elif t in PYTYPE_TO_CTYPE_TABLE:
return t.__name__
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/conversion.py#L95-L133 |
251,526 | serge-sans-paille/pythran | pythran/types/tog.py | get_type | def get_type(name, env, non_generic):
"""Get the type of identifier name from the type environment env.
Args:
name: The identifier name
env: The type environment mapping from identifier names to types
non_generic: A set of non-generic TypeVariables
Raises:
ParseError: Raised if name is an undefined symbol in the type
environment.
"""
if name in env:
if isinstance(env[name], MultiType):
return clone(env[name])
return fresh(env[name], non_generic)
else:
print("W: Undefined symbol {0}".format(name))
return TypeVariable() | python | def get_type(name, env, non_generic):
if name in env:
if isinstance(env[name], MultiType):
return clone(env[name])
return fresh(env[name], non_generic)
else:
print("W: Undefined symbol {0}".format(name))
return TypeVariable() | [
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Args:
name: The identifier name
env: The type environment mapping from identifier names to types
non_generic: A set of non-generic TypeVariables
Raises:
ParseError: Raised if name is an undefined symbol in the type
environment. | [
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251,527 | serge-sans-paille/pythran | pythran/types/tog.py | fresh | def fresh(t, non_generic):
"""Makes a copy of a type expression.
The type t is copied. The generic variables are duplicated and the
non_generic variables are shared.
Args:
t: A type to be copied.
non_generic: A set of non-generic TypeVariables
"""
mappings = {} # A mapping of TypeVariables to TypeVariables
def freshrec(tp):
p = prune(tp)
if isinstance(p, TypeVariable):
if is_generic(p, non_generic):
if p not in mappings:
mappings[p] = TypeVariable()
return mappings[p]
else:
return p
elif isinstance(p, dict):
return p # module
elif isinstance(p, Collection):
return Collection(*[freshrec(x) for x in p.types])
elif isinstance(p, Scalar):
return Scalar([freshrec(x) for x in p.types])
elif isinstance(p, TypeOperator):
return TypeOperator(p.name, [freshrec(x) for x in p.types])
elif isinstance(p, MultiType):
return MultiType([freshrec(x) for x in p.types])
else:
assert False, "missing freshrec case {}".format(type(p))
return freshrec(t) | python | def fresh(t, non_generic):
mappings = {} # A mapping of TypeVariables to TypeVariables
def freshrec(tp):
p = prune(tp)
if isinstance(p, TypeVariable):
if is_generic(p, non_generic):
if p not in mappings:
mappings[p] = TypeVariable()
return mappings[p]
else:
return p
elif isinstance(p, dict):
return p # module
elif isinstance(p, Collection):
return Collection(*[freshrec(x) for x in p.types])
elif isinstance(p, Scalar):
return Scalar([freshrec(x) for x in p.types])
elif isinstance(p, TypeOperator):
return TypeOperator(p.name, [freshrec(x) for x in p.types])
elif isinstance(p, MultiType):
return MultiType([freshrec(x) for x in p.types])
else:
assert False, "missing freshrec case {}".format(type(p))
return freshrec(t) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/tog.py#L1191-L1226 |
251,528 | serge-sans-paille/pythran | pythran/types/tog.py | prune | def prune(t):
"""Returns the currently defining instance of t.
As a side effect, collapses the list of type instances. The function Prune
is used whenever a type expression has to be inspected: it will always
return a type expression which is either an uninstantiated type variable or
a type operator; i.e. it will skip instantiated variables, and will
actually prune them from expressions to remove long chains of instantiated
variables.
Args:
t: The type to be pruned
Returns:
An uninstantiated TypeVariable or a TypeOperator
"""
if isinstance(t, TypeVariable):
if t.instance is not None:
t.instance = prune(t.instance)
return t.instance
return t | python | def prune(t):
if isinstance(t, TypeVariable):
if t.instance is not None:
t.instance = prune(t.instance)
return t.instance
return t | [
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a type operator; i.e. it will skip instantiated variables, and will
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251,529 | serge-sans-paille/pythran | pythran/types/tog.py | occurs_in_type | def occurs_in_type(v, type2):
"""Checks whether a type variable occurs in a type expression.
Note: Must be called with v pre-pruned
Args:
v: The TypeVariable to be tested for
type2: The type in which to search
Returns:
True if v occurs in type2, otherwise False
"""
pruned_type2 = prune(type2)
if pruned_type2 == v:
return True
elif isinstance(pruned_type2, TypeOperator):
return occurs_in(v, pruned_type2.types)
return False | python | def occurs_in_type(v, type2):
pruned_type2 = prune(type2)
if pruned_type2 == v:
return True
elif isinstance(pruned_type2, TypeOperator):
return occurs_in(v, pruned_type2.types)
return False | [
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v: The TypeVariable to be tested for
type2: The type in which to search
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251,530 | serge-sans-paille/pythran | pythran/transformations/expand_imports.py | ExpandImports.visit_Module | def visit_Module(self, node):
"""
Visit the whole module and add all import at the top level.
>> import numpy.linalg
Becomes
>> import numpy
"""
node.body = [k for k in (self.visit(n) for n in node.body) if k]
imports = [ast.Import([ast.alias(i, mangle(i))]) for i in self.imports]
node.body = imports + node.body
ast.fix_missing_locations(node)
return node | python | def visit_Module(self, node):
node.body = [k for k in (self.visit(n) for n in node.body) if k]
imports = [ast.Import([ast.alias(i, mangle(i))]) for i in self.imports]
node.body = imports + node.body
ast.fix_missing_locations(node)
return node | [
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>> import numpy.linalg
Becomes
>> import numpy | [
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251,531 | serge-sans-paille/pythran | pythran/transformations/expand_imports.py | ExpandImports.visit_Name | def visit_Name(self, node):
"""
Replace name with full expanded name.
Examples
--------
>> from numpy.linalg import det
>> det(a)
Becomes
>> numpy.linalg.det(a)
"""
if node.id in self.symbols:
symbol = path_to_node(self.symbols[node.id])
if not getattr(symbol, 'isliteral', lambda: False)():
parent = self.ancestors[node][-1]
blacklist = (ast.Tuple,
ast.List,
ast.Set,
ast.Return)
if isinstance(parent, blacklist):
raise PythranSyntaxError(
"Unsupported module identifier manipulation",
node)
new_node = path_to_attr(self.symbols[node.id])
new_node.ctx = node.ctx
ast.copy_location(new_node, node)
return new_node
return node | python | def visit_Name(self, node):
if node.id in self.symbols:
symbol = path_to_node(self.symbols[node.id])
if not getattr(symbol, 'isliteral', lambda: False)():
parent = self.ancestors[node][-1]
blacklist = (ast.Tuple,
ast.List,
ast.Set,
ast.Return)
if isinstance(parent, blacklist):
raise PythranSyntaxError(
"Unsupported module identifier manipulation",
node)
new_node = path_to_attr(self.symbols[node.id])
new_node.ctx = node.ctx
ast.copy_location(new_node, node)
return new_node
return node | [
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Examples
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>> det(a)
Becomes
>> numpy.linalg.det(a) | [
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251,532 | serge-sans-paille/pythran | pythran/analyses/argument_effects.py | save_function_effect | def save_function_effect(module):
""" Recursively save function effect for pythonic functions. """
for intr in module.values():
if isinstance(intr, dict): # Submodule case
save_function_effect(intr)
else:
fe = FunctionEffects(intr)
IntrinsicArgumentEffects[intr] = fe
if isinstance(intr, intrinsic.Class):
save_function_effect(intr.fields) | python | def save_function_effect(module):
for intr in module.values():
if isinstance(intr, dict): # Submodule case
save_function_effect(intr)
else:
fe = FunctionEffects(intr)
IntrinsicArgumentEffects[intr] = fe
if isinstance(intr, intrinsic.Class):
save_function_effect(intr.fields) | [
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251,533 | serge-sans-paille/pythran | pythran/analyses/argument_effects.py | ArgumentEffects.prepare | def prepare(self, node):
"""
Initialise arguments effects as this analyse is inter-procedural.
Initialisation done for Pythonic functions and default value set for
user defined functions.
"""
super(ArgumentEffects, self).prepare(node)
for n in self.global_declarations.values():
fe = FunctionEffects(n)
self.node_to_functioneffect[n] = fe
self.result.add_node(fe) | python | def prepare(self, node):
super(ArgumentEffects, self).prepare(node)
for n in self.global_declarations.values():
fe = FunctionEffects(n)
self.node_to_functioneffect[n] = fe
self.result.add_node(fe) | [
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251,534 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.process_locals | def process_locals(self, node, node_visited, *skipped):
"""
Declare variable local to node and insert declaration before.
Not possible for function yielding values.
"""
local_vars = self.scope[node].difference(skipped)
local_vars = local_vars.difference(self.openmp_deps)
if not local_vars:
return node_visited # no processing
locals_visited = []
for varname in local_vars:
vartype = self.typeof(varname)
decl = Statement("{} {}".format(vartype, varname))
locals_visited.append(decl)
self.ldecls.difference_update(local_vars)
return Block(locals_visited + [node_visited]) | python | def process_locals(self, node, node_visited, *skipped):
local_vars = self.scope[node].difference(skipped)
local_vars = local_vars.difference(self.openmp_deps)
if not local_vars:
return node_visited # no processing
locals_visited = []
for varname in local_vars:
vartype = self.typeof(varname)
decl = Statement("{} {}".format(vartype, varname))
locals_visited.append(decl)
self.ldecls.difference_update(local_vars)
return Block(locals_visited + [node_visited]) | [
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251,535 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.process_omp_attachements | def process_omp_attachements(self, node, stmt, index=None):
"""
Add OpenMP pragma on the correct stmt in the correct order.
stmt may be a list. On this case, index have to be specify to add
OpenMP on the correct statement.
"""
omp_directives = metadata.get(node, OMPDirective)
if omp_directives:
directives = list()
for directive in omp_directives:
directive.deps = [self.visit(dep) for dep in directive.deps]
directives.append(directive)
if index is None:
stmt = AnnotatedStatement(stmt, directives)
else:
stmt[index] = AnnotatedStatement(stmt[index], directives)
return stmt | python | def process_omp_attachements(self, node, stmt, index=None):
omp_directives = metadata.get(node, OMPDirective)
if omp_directives:
directives = list()
for directive in omp_directives:
directive.deps = [self.visit(dep) for dep in directive.deps]
directives.append(directive)
if index is None:
stmt = AnnotatedStatement(stmt, directives)
else:
stmt[index] = AnnotatedStatement(stmt[index], directives)
return stmt | [
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251,536 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.visit_Assign | def visit_Assign(self, node):
"""
Create Assign node for final Cxx representation.
It tries to handle multi assignment like:
>> a = b = c = 2
If only one local variable is assigned, typing is added:
>> int a = 2;
TODO: Handle case of multi-assignement for some local variables.
Finally, process OpenMP clause like #pragma omp atomic
"""
if not all(isinstance(n, (ast.Name, ast.Subscript))
for n in node.targets):
raise PythranSyntaxError(
"Must assign to an identifier or a subscript",
node)
value = self.visit(node.value)
targets = [self.visit(t) for t in node.targets]
alltargets = "= ".join(targets)
islocal = (len(targets) == 1 and
isinstance(node.targets[0], ast.Name) and
node.targets[0].id in self.scope[node] and
node.targets[0].id not in self.openmp_deps)
if islocal:
# remove this decls from local decls
self.ldecls.difference_update(t.id for t in node.targets)
# add a local declaration
if self.types[node.targets[0]].iscombined():
alltargets = '{} {}'.format(self.typeof(node.targets[0]),
alltargets)
elif isinstance(self.types[node.targets[0]],
self.types.builder.Assignable):
alltargets = '{} {}'.format(
self.types.builder.Assignable(
self.types.builder.NamedType(
'decltype({})'.format(value))),
alltargets)
else:
assert isinstance(self.types[node.targets[0]],
self.types.builder.Lazy)
alltargets = '{} {}'.format(
self.types.builder.Lazy(
self.types.builder.NamedType(
'decltype({})'.format(value))),
alltargets)
stmt = Assign(alltargets, value)
return self.process_omp_attachements(node, stmt) | python | def visit_Assign(self, node):
if not all(isinstance(n, (ast.Name, ast.Subscript))
for n in node.targets):
raise PythranSyntaxError(
"Must assign to an identifier or a subscript",
node)
value = self.visit(node.value)
targets = [self.visit(t) for t in node.targets]
alltargets = "= ".join(targets)
islocal = (len(targets) == 1 and
isinstance(node.targets[0], ast.Name) and
node.targets[0].id in self.scope[node] and
node.targets[0].id not in self.openmp_deps)
if islocal:
# remove this decls from local decls
self.ldecls.difference_update(t.id for t in node.targets)
# add a local declaration
if self.types[node.targets[0]].iscombined():
alltargets = '{} {}'.format(self.typeof(node.targets[0]),
alltargets)
elif isinstance(self.types[node.targets[0]],
self.types.builder.Assignable):
alltargets = '{} {}'.format(
self.types.builder.Assignable(
self.types.builder.NamedType(
'decltype({})'.format(value))),
alltargets)
else:
assert isinstance(self.types[node.targets[0]],
self.types.builder.Lazy)
alltargets = '{} {}'.format(
self.types.builder.Lazy(
self.types.builder.NamedType(
'decltype({})'.format(value))),
alltargets)
stmt = Assign(alltargets, value)
return self.process_omp_attachements(node, stmt) | [
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It tries to handle multi assignment like:
>> a = b = c = 2
If only one local variable is assigned, typing is added:
>> int a = 2;
TODO: Handle case of multi-assignement for some local variables.
Finally, process OpenMP clause like #pragma omp atomic | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L392-L443 |
251,537 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.gen_for | def gen_for(self, node, target, local_iter, local_iter_decl, loop_body):
"""
Create For representation on iterator for Cxx generation.
Examples
--------
>> "omp parallel for"
>> for i in xrange(10):
>> ... do things ...
Becomes
>> "omp parallel for shared(__iterX)"
>> for(decltype(__iterX)::iterator __targetX = __iterX.begin();
__targetX < __iterX.end(); ++__targetX)
>> auto&& i = *__targetX;
>> ... do things ...
It the case of not local variable, typing for `i` disappear and typing
is removed for iterator in case of yields statement in function.
"""
# Choose target variable for iterator (which is iterator type)
local_target = "__target{0}".format(id(node))
local_target_decl = self.types.builder.IteratorOfType(local_iter_decl)
# If variable is local to the for body it's a ref to the iterator value
# type
if node.target.id in self.scope[node] and not hasattr(self, 'yields'):
local_type = "auto&&"
else:
local_type = ""
# Assign iterable value
loop_body_prelude = Statement("{} {}= *{}".format(local_type,
target,
local_target))
# Create the loop
assign = self.make_assign(local_target_decl, local_target, local_iter)
loop = For("{}.begin()".format(assign),
"{0} < {1}.end()".format(local_target, local_iter),
"++{0}".format(local_target),
Block([loop_body_prelude, loop_body]))
return [self.process_omp_attachements(node, loop)] | python | def gen_for(self, node, target, local_iter, local_iter_decl, loop_body):
# Choose target variable for iterator (which is iterator type)
local_target = "__target{0}".format(id(node))
local_target_decl = self.types.builder.IteratorOfType(local_iter_decl)
# If variable is local to the for body it's a ref to the iterator value
# type
if node.target.id in self.scope[node] and not hasattr(self, 'yields'):
local_type = "auto&&"
else:
local_type = ""
# Assign iterable value
loop_body_prelude = Statement("{} {}= *{}".format(local_type,
target,
local_target))
# Create the loop
assign = self.make_assign(local_target_decl, local_target, local_iter)
loop = For("{}.begin()".format(assign),
"{0} < {1}.end()".format(local_target, local_iter),
"++{0}".format(local_target),
Block([loop_body_prelude, loop_body]))
return [self.process_omp_attachements(node, loop)] | [
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Examples
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>> "omp parallel for"
>> for i in xrange(10):
>> ... do things ...
Becomes
>> "omp parallel for shared(__iterX)"
>> for(decltype(__iterX)::iterator __targetX = __iterX.begin();
__targetX < __iterX.end(); ++__targetX)
>> auto&& i = *__targetX;
>> ... do things ...
It the case of not local variable, typing for `i` disappear and typing
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L460-L503 |
251,538 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.handle_real_loop_comparison | def handle_real_loop_comparison(self, args, target, upper_bound):
"""
Handle comparison for real loops.
Add the correct comparison operator if possible.
"""
# order is 1 for increasing loop, -1 for decreasing loop and 0 if it is
# not known at compile time
if len(args) <= 2:
order = 1
elif isinstance(args[2], ast.Num):
order = -1 + 2 * (int(args[2].n) > 0)
elif isinstance(args[1], ast.Num) and isinstance(args[0], ast.Num):
order = -1 + 2 * (int(args[1].n) > int(args[0].n))
else:
order = 0
comparison = "{} < {}" if order == 1 else "{} > {}"
comparison = comparison.format(target, upper_bound)
return comparison | python | def handle_real_loop_comparison(self, args, target, upper_bound):
# order is 1 for increasing loop, -1 for decreasing loop and 0 if it is
# not known at compile time
if len(args) <= 2:
order = 1
elif isinstance(args[2], ast.Num):
order = -1 + 2 * (int(args[2].n) > 0)
elif isinstance(args[1], ast.Num) and isinstance(args[0], ast.Num):
order = -1 + 2 * (int(args[1].n) > int(args[0].n))
else:
order = 0
comparison = "{} < {}" if order == 1 else "{} > {}"
comparison = comparison.format(target, upper_bound)
return comparison | [
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251,539 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.gen_c_for | def gen_c_for(self, node, local_iter, loop_body):
"""
Create C For representation for Cxx generation.
Examples
--------
>> for i in xrange(10):
>> ... do things ...
Becomes
>> for(long i = 0, __targetX = 10; i < __targetX; i += 1)
>> ... do things ...
Or
>> for i in xrange(10, 0, -1):
>> ... do things ...
Becomes
>> for(long i = 10, __targetX = 0; i > __targetX; i += -1)
>> ... do things ...
It the case of not local variable, typing for `i` disappear
"""
args = node.iter.args
step = "1L" if len(args) <= 2 else self.visit(args[2])
if len(args) == 1:
lower_bound = "0L"
upper_arg = 0
else:
lower_bound = self.visit(args[0])
upper_arg = 1
upper_type = iter_type = "long "
upper_value = self.visit(args[upper_arg])
if is_simple_expr(args[upper_arg]):
upper_bound = upper_value # compatible with collapse
else:
upper_bound = "__target{0}".format(id(node))
# If variable is local to the for body keep it local...
if node.target.id in self.scope[node] and not hasattr(self, 'yields'):
loop = list()
else:
# For yield function, upper_bound is globals.
iter_type = ""
# Back one step to keep Python behavior (except for break)
loop = [If("{} == {}".format(local_iter, upper_bound),
Statement("{} -= {}".format(local_iter, step)))]
comparison = self.handle_real_loop_comparison(args, local_iter,
upper_bound)
forloop = For("{0} {1}={2}".format(iter_type, local_iter, lower_bound),
comparison,
"{0} += {1}".format(local_iter, step),
loop_body)
loop.insert(0, self.process_omp_attachements(node, forloop))
# Store upper bound value if needed
if upper_bound is upper_value:
header = []
else:
assgnt = self.make_assign(upper_type, upper_bound, upper_value)
header = [Statement(assgnt)]
return header, loop | python | def gen_c_for(self, node, local_iter, loop_body):
args = node.iter.args
step = "1L" if len(args) <= 2 else self.visit(args[2])
if len(args) == 1:
lower_bound = "0L"
upper_arg = 0
else:
lower_bound = self.visit(args[0])
upper_arg = 1
upper_type = iter_type = "long "
upper_value = self.visit(args[upper_arg])
if is_simple_expr(args[upper_arg]):
upper_bound = upper_value # compatible with collapse
else:
upper_bound = "__target{0}".format(id(node))
# If variable is local to the for body keep it local...
if node.target.id in self.scope[node] and not hasattr(self, 'yields'):
loop = list()
else:
# For yield function, upper_bound is globals.
iter_type = ""
# Back one step to keep Python behavior (except for break)
loop = [If("{} == {}".format(local_iter, upper_bound),
Statement("{} -= {}".format(local_iter, step)))]
comparison = self.handle_real_loop_comparison(args, local_iter,
upper_bound)
forloop = For("{0} {1}={2}".format(iter_type, local_iter, lower_bound),
comparison,
"{0} += {1}".format(local_iter, step),
loop_body)
loop.insert(0, self.process_omp_attachements(node, forloop))
# Store upper bound value if needed
if upper_bound is upper_value:
header = []
else:
assgnt = self.make_assign(upper_type, upper_bound, upper_value)
header = [Statement(assgnt)]
return header, loop | [
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Examples
--------
>> for i in xrange(10):
>> ... do things ...
Becomes
>> for(long i = 0, __targetX = 10; i < __targetX; i += 1)
>> ... do things ...
Or
>> for i in xrange(10, 0, -1):
>> ... do things ...
Becomes
>> for(long i = 10, __targetX = 0; i > __targetX; i += -1)
>> ... do things ...
It the case of not local variable, typing for `i` disappear | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L526-L596 |
251,540 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.handle_omp_for | def handle_omp_for(self, node, local_iter):
"""
Fix OpenMP directives on For loops.
Add the target as private variable as a new variable may have been
introduce to handle cxx iterator.
Also, add the iterator as shared variable as all 'parallel for chunck'
have to use the same iterator.
"""
for directive in metadata.get(node, OMPDirective):
if any(key in directive.s for key in (' parallel ', ' task ')):
# Eventually add local_iter in a shared clause as iterable is
# shared in the for loop (for every clause with datasharing)
directive.s += ' shared({})'
directive.deps.append(ast.Name(local_iter, ast.Load(), None))
directive.shared_deps.append(directive.deps[-1])
target = node.target
assert isinstance(target, ast.Name)
hasfor = 'for' in directive.s
nodefault = 'default' not in directive.s
noindexref = all(isinstance(x, ast.Name) and
x.id != target.id for x in directive.deps)
if (hasfor and nodefault and noindexref and
target.id not in self.scope[node]):
# Target is private by default in omp but iterator use may
# introduce an extra variable
directive.s += ' private({})'
directive.deps.append(ast.Name(target.id, ast.Load(), None))
directive.private_deps.append(directive.deps[-1]) | python | def handle_omp_for(self, node, local_iter):
for directive in metadata.get(node, OMPDirective):
if any(key in directive.s for key in (' parallel ', ' task ')):
# Eventually add local_iter in a shared clause as iterable is
# shared in the for loop (for every clause with datasharing)
directive.s += ' shared({})'
directive.deps.append(ast.Name(local_iter, ast.Load(), None))
directive.shared_deps.append(directive.deps[-1])
target = node.target
assert isinstance(target, ast.Name)
hasfor = 'for' in directive.s
nodefault = 'default' not in directive.s
noindexref = all(isinstance(x, ast.Name) and
x.id != target.id for x in directive.deps)
if (hasfor and nodefault and noindexref and
target.id not in self.scope[node]):
# Target is private by default in omp but iterator use may
# introduce an extra variable
directive.s += ' private({})'
directive.deps.append(ast.Name(target.id, ast.Load(), None))
directive.private_deps.append(directive.deps[-1]) | [
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Add the target as private variable as a new variable may have been
introduce to handle cxx iterator.
Also, add the iterator as shared variable as all 'parallel for chunck'
have to use the same iterator. | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L598-L628 |
251,541 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.can_use_autofor | def can_use_autofor(self, node):
"""
Check if given for Node can use autoFor syntax.
To use auto_for:
- iterator should have local scope
- yield should not be use
- OpenMP pragma should not be use
TODO : Yield should block only if it is use in the for loop, not in the
whole function.
"""
auto_for = (isinstance(node.target, ast.Name) and
node.target.id in self.scope[node] and
node.target.id not in self.openmp_deps)
auto_for &= not metadata.get(node, OMPDirective)
auto_for &= node.target.id not in self.openmp_deps
return auto_for | python | def can_use_autofor(self, node):
auto_for = (isinstance(node.target, ast.Name) and
node.target.id in self.scope[node] and
node.target.id not in self.openmp_deps)
auto_for &= not metadata.get(node, OMPDirective)
auto_for &= node.target.id not in self.openmp_deps
return auto_for | [
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To use auto_for:
- iterator should have local scope
- yield should not be use
- OpenMP pragma should not be use
TODO : Yield should block only if it is use in the for loop, not in the
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251,542 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.can_use_c_for | def can_use_c_for(self, node):
"""
Check if a for loop can use classic C syntax.
To use C syntax:
- target should not be assign in the loop
- xrange should be use as iterator
- order have to be known at compile time
"""
assert isinstance(node.target, ast.Name)
if sys.version_info.major == 3:
range_name = 'range'
else:
range_name = 'xrange'
pattern_range = ast.Call(func=ast.Attribute(
value=ast.Name(id='__builtin__',
ctx=ast.Load(),
annotation=None),
attr=range_name, ctx=ast.Load()),
args=AST_any(), keywords=[])
is_assigned = {node.target.id: False}
[is_assigned.update(self.gather(IsAssigned, stmt))
for stmt in node.body]
nodes = ASTMatcher(pattern_range).search(node.iter)
if (node.iter not in nodes or is_assigned[node.target.id]):
return False
args = node.iter.args
if len(args) < 3:
return True
if isinstance(args[2], ast.Num):
return True
return False | python | def can_use_c_for(self, node):
assert isinstance(node.target, ast.Name)
if sys.version_info.major == 3:
range_name = 'range'
else:
range_name = 'xrange'
pattern_range = ast.Call(func=ast.Attribute(
value=ast.Name(id='__builtin__',
ctx=ast.Load(),
annotation=None),
attr=range_name, ctx=ast.Load()),
args=AST_any(), keywords=[])
is_assigned = {node.target.id: False}
[is_assigned.update(self.gather(IsAssigned, stmt))
for stmt in node.body]
nodes = ASTMatcher(pattern_range).search(node.iter)
if (node.iter not in nodes or is_assigned[node.target.id]):
return False
args = node.iter.args
if len(args) < 3:
return True
if isinstance(args[2], ast.Num):
return True
return False | [
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251,543 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.visit_For | def visit_For(self, node):
"""
Create For representation for Cxx generation.
Examples
--------
>> for i in xrange(10):
>> ... work ...
Becomes
>> typename returnable<decltype(__builtin__.xrange(10))>::type __iterX
= __builtin__.xrange(10);
>> ... possible container size reservation ...
>> for (auto&& i: __iterX)
>> ... the work ...
This function also handle assignment for local variables.
We can notice that three kind of loop are possible:
- Normal for loop on iterator
- Autofor loop.
- Normal for loop using integer variable iteration
Kind of loop used depend on OpenMP, yield use and variable scope.
"""
if not isinstance(node.target, ast.Name):
raise PythranSyntaxError(
"Using something other than an identifier as loop target",
node.target)
target = self.visit(node.target)
# Handle the body of the for loop
loop_body = Block([self.visit(stmt) for stmt in node.body])
# Declare local variables at the top of the loop body
loop_body = self.process_locals(node, loop_body, node.target.id)
iterable = self.visit(node.iter)
if self.can_use_c_for(node):
header, loop = self.gen_c_for(node, target, loop_body)
else:
if self.can_use_autofor(node):
header = []
self.ldecls.remove(node.target.id)
autofor = AutoFor(target, iterable, loop_body)
loop = [self.process_omp_attachements(node, autofor)]
else:
# Iterator declaration
local_iter = "__iter{0}".format(id(node))
local_iter_decl = self.types.builder.Assignable(
self.types[node.iter])
self.handle_omp_for(node, local_iter)
# Assign iterable
# For C loop, it avoids issues
# if the upper bound is assigned in the loop
asgnt = self.make_assign(local_iter_decl, local_iter, iterable)
header = [Statement(asgnt)]
loop = self.gen_for(node, target, local_iter, local_iter_decl,
loop_body)
# For xxxComprehension, it is replaced by a for loop. In this case,
# pre-allocate size of container.
for comp in metadata.get(node, metadata.Comprehension):
header.append(Statement("pythonic::utils::reserve({0},{1})".format(
comp.target,
iterable)))
return Block(header + loop) | python | def visit_For(self, node):
if not isinstance(node.target, ast.Name):
raise PythranSyntaxError(
"Using something other than an identifier as loop target",
node.target)
target = self.visit(node.target)
# Handle the body of the for loop
loop_body = Block([self.visit(stmt) for stmt in node.body])
# Declare local variables at the top of the loop body
loop_body = self.process_locals(node, loop_body, node.target.id)
iterable = self.visit(node.iter)
if self.can_use_c_for(node):
header, loop = self.gen_c_for(node, target, loop_body)
else:
if self.can_use_autofor(node):
header = []
self.ldecls.remove(node.target.id)
autofor = AutoFor(target, iterable, loop_body)
loop = [self.process_omp_attachements(node, autofor)]
else:
# Iterator declaration
local_iter = "__iter{0}".format(id(node))
local_iter_decl = self.types.builder.Assignable(
self.types[node.iter])
self.handle_omp_for(node, local_iter)
# Assign iterable
# For C loop, it avoids issues
# if the upper bound is assigned in the loop
asgnt = self.make_assign(local_iter_decl, local_iter, iterable)
header = [Statement(asgnt)]
loop = self.gen_for(node, target, local_iter, local_iter_decl,
loop_body)
# For xxxComprehension, it is replaced by a for loop. In this case,
# pre-allocate size of container.
for comp in metadata.get(node, metadata.Comprehension):
header.append(Statement("pythonic::utils::reserve({0},{1})".format(
comp.target,
iterable)))
return Block(header + loop) | [
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Examples
--------
>> for i in xrange(10):
>> ... work ...
Becomes
>> typename returnable<decltype(__builtin__.xrange(10))>::type __iterX
= __builtin__.xrange(10);
>> ... possible container size reservation ...
>> for (auto&& i: __iterX)
>> ... the work ...
This function also handle assignment for local variables.
We can notice that three kind of loop are possible:
- Normal for loop on iterator
- Autofor loop.
- Normal for loop using integer variable iteration
Kind of loop used depend on OpenMP, yield use and variable scope. | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L688-L758 |
251,544 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.visit_While | def visit_While(self, node):
"""
Create While node for Cxx generation.
It is a cxx_loop to handle else clause.
"""
test = self.visit(node.test)
body = [self.visit(n) for n in node.body]
stmt = While(test, Block(body))
return self.process_omp_attachements(node, stmt) | python | def visit_While(self, node):
test = self.visit(node.test)
body = [self.visit(n) for n in node.body]
stmt = While(test, Block(body))
return self.process_omp_attachements(node, stmt) | [
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251,545 | serge-sans-paille/pythran | pythran/backend.py | CxxFunction.visit_Break | def visit_Break(self, _):
"""
Generate break statement in most case and goto for orelse clause.
See Also : cxx_loop
"""
if self.break_handlers and self.break_handlers[-1]:
return Statement("goto {0}".format(self.break_handlers[-1]))
else:
return Statement("break") | python | def visit_Break(self, _):
if self.break_handlers and self.break_handlers[-1]:
return Statement("goto {0}".format(self.break_handlers[-1]))
else:
return Statement("break") | [
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251,546 | serge-sans-paille/pythran | pythran/backend.py | Cxx.visit_Module | def visit_Module(self, node):
""" Build a compilation unit. """
# build all types
deps = sorted(self.dependencies)
headers = [Include(os.path.join("pythonic", "include", *t) + ".hpp")
for t in deps]
headers += [Include(os.path.join("pythonic", *t) + ".hpp")
for t in deps]
decls_n_defns = [self.visit(stmt) for stmt in node.body]
decls, defns = zip(*[s for s in decls_n_defns if s])
nsbody = [s for ls in decls + defns for s in ls]
ns = Namespace(pythran_ward + self.passmanager.module_name, nsbody)
self.result = CompilationUnit(headers + [ns]) | python | def visit_Module(self, node):
# build all types
deps = sorted(self.dependencies)
headers = [Include(os.path.join("pythonic", "include", *t) + ".hpp")
for t in deps]
headers += [Include(os.path.join("pythonic", *t) + ".hpp")
for t in deps]
decls_n_defns = [self.visit(stmt) for stmt in node.body]
decls, defns = zip(*[s for s in decls_n_defns if s])
nsbody = [s for ls in decls + defns for s in ls]
ns = Namespace(pythran_ward + self.passmanager.module_name, nsbody)
self.result = CompilationUnit(headers + [ns]) | [
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251,547 | serge-sans-paille/pythran | pythran/middlend.py | refine | def refine(pm, node, optimizations):
""" Refine node in place until it matches pythran's expectations. """
# Sanitize input
pm.apply(ExpandGlobals, node)
pm.apply(ExpandImportAll, node)
pm.apply(NormalizeTuples, node)
pm.apply(ExpandBuiltins, node)
pm.apply(ExpandImports, node)
pm.apply(NormalizeMethodCalls, node)
pm.apply(NormalizeIsNone, node)
pm.apply(SplitStaticExpression, node)
pm.apply(NormalizeStaticIf, node)
pm.apply(NormalizeTuples, node)
pm.apply(NormalizeException, node)
pm.apply(NormalizeMethodCalls, node)
# Some early optimizations
pm.apply(ComprehensionPatterns, node)
pm.apply(RemoveLambdas, node)
pm.apply(RemoveNestedFunctions, node)
pm.apply(NormalizeCompare, node)
pm.gather(ExtendedSyntaxCheck, node)
pm.apply(ListCompToGenexp, node)
pm.apply(RemoveComprehension, node)
pm.apply(RemoveNamedArguments, node)
# sanitize input
pm.apply(NormalizeReturn, node)
pm.apply(UnshadowParameters, node)
pm.apply(FalsePolymorphism, node)
# some extra optimizations
apply_optimisation = True
while apply_optimisation:
apply_optimisation = False
for optimization in optimizations:
apply_optimisation |= pm.apply(optimization, node)[0] | python | def refine(pm, node, optimizations):
# Sanitize input
pm.apply(ExpandGlobals, node)
pm.apply(ExpandImportAll, node)
pm.apply(NormalizeTuples, node)
pm.apply(ExpandBuiltins, node)
pm.apply(ExpandImports, node)
pm.apply(NormalizeMethodCalls, node)
pm.apply(NormalizeIsNone, node)
pm.apply(SplitStaticExpression, node)
pm.apply(NormalizeStaticIf, node)
pm.apply(NormalizeTuples, node)
pm.apply(NormalizeException, node)
pm.apply(NormalizeMethodCalls, node)
# Some early optimizations
pm.apply(ComprehensionPatterns, node)
pm.apply(RemoveLambdas, node)
pm.apply(RemoveNestedFunctions, node)
pm.apply(NormalizeCompare, node)
pm.gather(ExtendedSyntaxCheck, node)
pm.apply(ListCompToGenexp, node)
pm.apply(RemoveComprehension, node)
pm.apply(RemoveNamedArguments, node)
# sanitize input
pm.apply(NormalizeReturn, node)
pm.apply(UnshadowParameters, node)
pm.apply(FalsePolymorphism, node)
# some extra optimizations
apply_optimisation = True
while apply_optimisation:
apply_optimisation = False
for optimization in optimizations:
apply_optimisation |= pm.apply(optimization, node)[0] | [
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251,548 | serge-sans-paille/pythran | pythran/analyses/global_effects.py | GlobalEffects.prepare | def prepare(self, node):
"""
Initialise globals effects as this analyse is inter-procedural.
Initialisation done for Pythonic functions and default value set for
user defined functions.
"""
super(GlobalEffects, self).prepare(node)
def register_node(module):
""" Recursively save globals effect for all functions. """
for v in module.values():
if isinstance(v, dict): # Submodule case
register_node(v)
else:
fe = GlobalEffects.FunctionEffect(v)
self.node_to_functioneffect[v] = fe
self.result.add_node(fe)
if isinstance(v, intrinsic.Class):
register_node(v.fields)
register_node(self.global_declarations)
for module in MODULES.values():
register_node(module)
self.node_to_functioneffect[intrinsic.UnboundValue] = \
GlobalEffects.FunctionEffect(intrinsic.UnboundValue) | python | def prepare(self, node):
super(GlobalEffects, self).prepare(node)
def register_node(module):
""" Recursively save globals effect for all functions. """
for v in module.values():
if isinstance(v, dict): # Submodule case
register_node(v)
else:
fe = GlobalEffects.FunctionEffect(v)
self.node_to_functioneffect[v] = fe
self.result.add_node(fe)
if isinstance(v, intrinsic.Class):
register_node(v.fields)
register_node(self.global_declarations)
for module in MODULES.values():
register_node(module)
self.node_to_functioneffect[intrinsic.UnboundValue] = \
GlobalEffects.FunctionEffect(intrinsic.UnboundValue) | [
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251,549 | serge-sans-paille/pythran | pythran/types/types.py | Types.prepare | def prepare(self, node):
"""
Initialise values to prepare typing computation.
Reorder functions to avoid dependencies issues and prepare typing
computation setting typing values for Pythonic functions.
"""
def register(name, module):
""" Recursively save function typing and combiners for Pythonic."""
for fname, function in module.items():
if isinstance(function, dict):
register(name + "::" + fname, function)
else:
tname = 'pythonic::{0}::functor::{1}'.format(name, fname)
self.result[function] = self.builder.NamedType(tname)
self.combiners[function] = function
if isinstance(function, Class):
register(name + "::" + fname, function.fields)
for mname, module in MODULES.items():
register(mname, module)
super(Types, self).prepare(node) | python | def prepare(self, node):
def register(name, module):
""" Recursively save function typing and combiners for Pythonic."""
for fname, function in module.items():
if isinstance(function, dict):
register(name + "::" + fname, function)
else:
tname = 'pythonic::{0}::functor::{1}'.format(name, fname)
self.result[function] = self.builder.NamedType(tname)
self.combiners[function] = function
if isinstance(function, Class):
register(name + "::" + fname, function.fields)
for mname, module in MODULES.items():
register(mname, module)
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251,550 | serge-sans-paille/pythran | pythran/types/types.py | Types.register | def register(self, ptype):
"""register ptype as a local typedef"""
# Too many of them leads to memory burst
if len(self.typedefs) < cfg.getint('typing', 'max_combiner'):
self.typedefs.append(ptype)
return True
return False | python | def register(self, ptype):
# Too many of them leads to memory burst
if len(self.typedefs) < cfg.getint('typing', 'max_combiner'):
self.typedefs.append(ptype)
return True
return False | [
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251,551 | serge-sans-paille/pythran | pythran/types/types.py | Types.isargument | def isargument(self, node):
""" checks whether node aliases to a parameter."""
try:
node_id, _ = self.node_to_id(node)
return (node_id in self.name_to_nodes and
any([isinstance(n, ast.Name) and
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for n in self.name_to_nodes[node_id]]))
except UnboundableRValue:
return False | python | def isargument(self, node):
try:
node_id, _ = self.node_to_id(node)
return (node_id in self.name_to_nodes and
any([isinstance(n, ast.Name) and
isinstance(n.ctx, ast.Param)
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251,552 | serge-sans-paille/pythran | pythran/types/types.py | Types.combine | def combine(self, node, othernode, op=None, unary_op=None, register=False,
aliasing_type=False):
"""
Change `node` typing with combination of `node` and `othernode`.
Parameters
----------
aliasing_type : bool
All node aliasing to `node` have to be updated too.
"""
if self.result[othernode] is self.builder.UnknownType:
if node not in self.result:
self.result[node] = self.builder.UnknownType
return
if aliasing_type:
self.combine_(node, othernode, op or operator.add,
unary_op or (lambda x: x), register)
for a in self.strict_aliases[node]:
self.combine_(a, othernode, op or operator.add,
unary_op or (lambda x: x), register)
else:
self.combine_(node, othernode, op or operator.add,
unary_op or (lambda x: x), register) | python | def combine(self, node, othernode, op=None, unary_op=None, register=False,
aliasing_type=False):
if self.result[othernode] is self.builder.UnknownType:
if node not in self.result:
self.result[node] = self.builder.UnknownType
return
if aliasing_type:
self.combine_(node, othernode, op or operator.add,
unary_op or (lambda x: x), register)
for a in self.strict_aliases[node]:
self.combine_(a, othernode, op or operator.add,
unary_op or (lambda x: x), register)
else:
self.combine_(node, othernode, op or operator.add,
unary_op or (lambda x: x), register) | [
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251,553 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Return | def visit_Return(self, node):
""" Compute return type and merges with others possible return type."""
self.generic_visit(node)
# No merge are done if the function is a generator.
if not self.yield_points:
assert node.value, "Values were added in each return statement."
self.combine(self.current, node.value) | python | def visit_Return(self, node):
self.generic_visit(node)
# No merge are done if the function is a generator.
if not self.yield_points:
assert node.value, "Values were added in each return statement."
self.combine(self.current, node.value) | [
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251,554 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Yield | def visit_Yield(self, node):
""" Compute yield type and merges it with others yield type. """
self.generic_visit(node)
self.combine(self.current, node.value) | python | def visit_Yield(self, node):
self.generic_visit(node)
self.combine(self.current, node.value) | [
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251,555 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_BoolOp | def visit_BoolOp(self, node):
"""
Merge BoolOp operand type.
BoolOp are "and" and "or" and may return any of these results so all
operands should have the combinable type.
"""
# Visit subnodes
self.generic_visit(node)
# Merge all operands types.
[self.combine(node, value) for value in node.values] | python | def visit_BoolOp(self, node):
# Visit subnodes
self.generic_visit(node)
# Merge all operands types.
[self.combine(node, value) for value in node.values] | [
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251,556 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Num | def visit_Num(self, node):
"""
Set type for number.
It could be int, long or float so we use the default python to pythonic
type converter.
"""
ty = type(node.n)
sty = pytype_to_ctype(ty)
if node in self.immediates:
sty = "std::integral_constant<%s, %s>" % (sty, node.n)
self.result[node] = self.builder.NamedType(sty) | python | def visit_Num(self, node):
ty = type(node.n)
sty = pytype_to_ctype(ty)
if node in self.immediates:
sty = "std::integral_constant<%s, %s>" % (sty, node.n)
self.result[node] = self.builder.NamedType(sty) | [
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251,557 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Str | def visit_Str(self, node):
""" Set the pythonic string type. """
self.result[node] = self.builder.NamedType(pytype_to_ctype(str)) | python | def visit_Str(self, node):
self.result[node] = self.builder.NamedType(pytype_to_ctype(str)) | [
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251,558 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Attribute | def visit_Attribute(self, node):
""" Compute typing for an attribute node. """
obj, path = attr_to_path(node)
# If no type is given, use a decltype
if obj.isliteral():
typename = pytype_to_ctype(obj.signature)
self.result[node] = self.builder.NamedType(typename)
else:
self.result[node] = self.builder.DeclType('::'.join(path) + '{}') | python | def visit_Attribute(self, node):
obj, path = attr_to_path(node)
# If no type is given, use a decltype
if obj.isliteral():
typename = pytype_to_ctype(obj.signature)
self.result[node] = self.builder.NamedType(typename)
else:
self.result[node] = self.builder.DeclType('::'.join(path) + '{}') | [
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251,559 | serge-sans-paille/pythran | pythran/types/types.py | Types.visit_Slice | def visit_Slice(self, node):
"""
Set slicing type using continuous information if provided.
Also visit subnodes as they may contains relevant typing information.
"""
self.generic_visit(node)
if node.step is None or (isinstance(node.step, ast.Num) and
node.step.n == 1):
self.result[node] = self.builder.NamedType(
'pythonic::types::contiguous_slice')
else:
self.result[node] = self.builder.NamedType(
'pythonic::types::slice') | python | def visit_Slice(self, node):
self.generic_visit(node)
if node.step is None or (isinstance(node.step, ast.Num) and
node.step.n == 1):
self.result[node] = self.builder.NamedType(
'pythonic::types::contiguous_slice')
else:
self.result[node] = self.builder.NamedType(
'pythonic::types::slice') | [
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251,560 | serge-sans-paille/pythran | omp/__init__.py | OpenMP.init_not_msvc | def init_not_msvc(self):
""" Find OpenMP library and try to load if using ctype interface. """
# find_library() does not search automatically LD_LIBRARY_PATH
paths = os.environ.get('LD_LIBRARY_PATH', '').split(':')
for gomp in ('libgomp.so', 'libgomp.dylib'):
if cxx is None:
continue
cmd = [cxx, '-print-file-name=' + gomp]
# the subprocess can fail in various ways
# in that case just give up that path
try:
path = os.path.dirname(check_output(cmd).strip())
if path:
paths.append(path)
except OSError:
pass
# Try to load find libgomp shared library using loader search dirs
libgomp_path = find_library("gomp")
# Try to use custom paths if lookup failed
for path in paths:
if libgomp_path:
break
path = path.strip()
if os.path.isdir(path):
libgomp_path = find_library(os.path.join(str(path), "libgomp"))
if not libgomp_path:
raise ImportError("I can't find a shared library for libgomp,"
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"LD_LIBRARY_PATH environment variable.")
else:
# Load the library (shouldn't fail with an absolute path right?)
self.libomp = ctypes.CDLL(libgomp_path)
self.version = 45 | python | def init_not_msvc(self):
# find_library() does not search automatically LD_LIBRARY_PATH
paths = os.environ.get('LD_LIBRARY_PATH', '').split(':')
for gomp in ('libgomp.so', 'libgomp.dylib'):
if cxx is None:
continue
cmd = [cxx, '-print-file-name=' + gomp]
# the subprocess can fail in various ways
# in that case just give up that path
try:
path = os.path.dirname(check_output(cmd).strip())
if path:
paths.append(path)
except OSError:
pass
# Try to load find libgomp shared library using loader search dirs
libgomp_path = find_library("gomp")
# Try to use custom paths if lookup failed
for path in paths:
if libgomp_path:
break
path = path.strip()
if os.path.isdir(path):
libgomp_path = find_library(os.path.join(str(path), "libgomp"))
if not libgomp_path:
raise ImportError("I can't find a shared library for libgomp,"
" you may need to install it or adjust the "
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else:
# Load the library (shouldn't fail with an absolute path right?)
self.libomp = ctypes.CDLL(libgomp_path)
self.version = 45 | [
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251,561 | serge-sans-paille/pythran | pythran/analyses/inlinable.py | Inlinable.visit_FunctionDef | def visit_FunctionDef(self, node):
""" Determine this function definition can be inlined. """
if (len(node.body) == 1 and
isinstance(node.body[0], (ast.Call, ast.Return))):
ids = self.gather(Identifiers, node.body[0])
# FIXME : It mark "not inlinable" def foo(foo): return foo
if node.name not in ids:
self.result[node.name] = copy.deepcopy(node) | python | def visit_FunctionDef(self, node):
if (len(node.body) == 1 and
isinstance(node.body[0], (ast.Call, ast.Return))):
ids = self.gather(Identifiers, node.body[0])
# FIXME : It mark "not inlinable" def foo(foo): return foo
if node.name not in ids:
self.result[node.name] = copy.deepcopy(node) | [
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251,562 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | pytype_to_deps_hpp | def pytype_to_deps_hpp(t):
"""python -> pythonic type hpp filename."""
if isinstance(t, List):
return {'list.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Set):
return {'set.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return {'dict.hpp'}.union(pytype_to_deps_hpp(tkey),
pytype_to_deps_hpp(tvalue))
elif isinstance(t, Tuple):
return {'tuple.hpp'}.union(*[pytype_to_deps_hpp(elt)
for elt in t.__args__])
elif isinstance(t, NDArray):
out = {'ndarray.hpp'}
# it's a transpose!
if t.__args__[1].start == -1:
out.add('numpy_texpr.hpp')
return out.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Pointer):
return {'pointer.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Fun):
return {'cfun.hpp'}.union(*[pytype_to_deps_hpp(a) for a in t.__args__])
elif t in PYTYPE_TO_CTYPE_TABLE:
return {'{}.hpp'.format(t.__name__)}
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | python | def pytype_to_deps_hpp(t):
if isinstance(t, List):
return {'list.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Set):
return {'set.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Dict):
tkey, tvalue = t.__args__
return {'dict.hpp'}.union(pytype_to_deps_hpp(tkey),
pytype_to_deps_hpp(tvalue))
elif isinstance(t, Tuple):
return {'tuple.hpp'}.union(*[pytype_to_deps_hpp(elt)
for elt in t.__args__])
elif isinstance(t, NDArray):
out = {'ndarray.hpp'}
# it's a transpose!
if t.__args__[1].start == -1:
out.add('numpy_texpr.hpp')
return out.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Pointer):
return {'pointer.hpp'}.union(pytype_to_deps_hpp(t.__args__[0]))
elif isinstance(t, Fun):
return {'cfun.hpp'}.union(*[pytype_to_deps_hpp(a) for a in t.__args__])
elif t in PYTYPE_TO_CTYPE_TABLE:
return {'{}.hpp'.format(t.__name__)}
else:
raise NotImplementedError("{0}:{1}".format(type(t), t)) | [
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251,563 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | pytype_to_deps | def pytype_to_deps(t):
""" python -> pythonic type header full path. """
res = set()
for hpp_dep in pytype_to_deps_hpp(t):
res.add(os.path.join('pythonic', 'types', hpp_dep))
res.add(os.path.join('pythonic', 'include', 'types', hpp_dep))
return res | python | def pytype_to_deps(t):
res = set()
for hpp_dep in pytype_to_deps_hpp(t):
res.add(os.path.join('pythonic', 'types', hpp_dep))
res.add(os.path.join('pythonic', 'include', 'types', hpp_dep))
return res | [
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251,564 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.prepare | def prepare(self, node):
"""
Add nodes for each global declarations in the result graph.
No edges are added as there are no type builtin type dependencies.
"""
super(TypeDependencies, self).prepare(node)
for v in self.global_declarations.values():
self.result.add_node(v)
self.result.add_node(TypeDependencies.NoDeps) | python | def prepare(self, node):
super(TypeDependencies, self).prepare(node)
for v in self.global_declarations.values():
self.result.add_node(v)
self.result.add_node(TypeDependencies.NoDeps) | [
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251,565 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_any_conditionnal | def visit_any_conditionnal(self, node1, node2):
"""
Set and restore the in_cond variable before visiting subnode.
Compute correct dependencies on a value as both branch are possible
path.
"""
true_naming = false_naming = None
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self.naming[k] = v
else:
for dep in v:
if dep not in self.naming[k]:
self.naming[k].append(dep) | python | def visit_any_conditionnal(self, node1, node2):
true_naming = false_naming = None
try:
tmp = self.naming.copy()
for expr in node1:
self.visit(expr)
true_naming = self.naming
self.naming = tmp
except KeyError:
pass
try:
tmp = self.naming.copy()
for expr in node2:
self.visit(expr)
false_naming = self.naming
self.naming = tmp
except KeyError:
pass
if true_naming and not false_naming:
self.naming = true_naming
elif false_naming and not true_naming:
self.naming = false_naming
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self.naming = false_naming
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251,566 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_FunctionDef | def visit_FunctionDef(self, node):
"""
Initialize variable for the current function to add edges from calls.
We compute variable to call dependencies and add edges when returns
are reach.
"""
# Ensure there are no nested functions.
assert self.current_function is None
self.current_function = node
self.naming = dict()
self.in_cond = False # True when we are in a if, while or for
self.generic_visit(node)
self.current_function = None | python | def visit_FunctionDef(self, node):
# Ensure there are no nested functions.
assert self.current_function is None
self.current_function = node
self.naming = dict()
self.in_cond = False # True when we are in a if, while or for
self.generic_visit(node)
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251,567 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_Return | def visit_Return(self, node):
"""
Add edge from all possible callee to current function.
Gather all the function call that led to the creation of the
returned expression and add an edge to each of this function.
When visiting an expression, one returns a list of frozensets. Each
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"""
if not node.value:
# Yielding function can't return values
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for dep_set in self.visit(node.value):
if dep_set:
for dep in dep_set:
self.result.add_edge(dep, self.current_function)
else:
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self.current_function) | python | def visit_Return(self, node):
if not node.value:
# Yielding function can't return values
return
for dep_set in self.visit(node.value):
if dep_set:
for dep in dep_set:
self.result.add_edge(dep, self.current_function)
else:
self.result.add_edge(TypeDependencies.NoDeps,
self.current_function) | [
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251,568 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_Assign | def visit_Assign(self, node):
"""
In case of assignment assign value depend on r-value type dependencies.
It is valid for subscript, `a[i] = foo()` means `a` type depend on
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"""
value_deps = self.visit(node.value)
for target in node.targets:
name = get_variable(target)
if isinstance(name, ast.Name):
self.naming[name.id] = value_deps | python | def visit_Assign(self, node):
value_deps = self.visit(node.value)
for target in node.targets:
name = get_variable(target)
if isinstance(name, ast.Name):
self.naming[name.id] = value_deps | [
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251,569 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_AugAssign | def visit_AugAssign(self, node):
"""
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args = (self.naming[get_variable(node.target).id],
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for x in itertools.product(*args)})
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251,570 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_For | def visit_For(self, node):
"""
Handle iterator variable in for loops.
Iterate variable may be the correct one at the end of the loop.
"""
body = node.body
if node.target.id in self.naming:
body = [ast.Assign(targets=[node.target], value=node.iter)] + body
self.visit_any_conditionnal(body, node.orelse)
else:
iter_dep = self.visit(node.iter)
self.naming[node.target.id] = iter_dep
self.visit_any_conditionnal(body, body + node.orelse) | python | def visit_For(self, node):
body = node.body
if node.target.id in self.naming:
body = [ast.Assign(targets=[node.target], value=node.iter)] + body
self.visit_any_conditionnal(body, node.orelse)
else:
iter_dep = self.visit(node.iter)
self.naming[node.target.id] = iter_dep
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251,571 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_BoolOp | def visit_BoolOp(self, node):
""" Return type may come from any boolop operand. """
return sum((self.visit(value) for value in node.values), []) | python | def visit_BoolOp(self, node):
return sum((self.visit(value) for value in node.values), []) | [
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251,572 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_BinOp | def visit_BinOp(self, node):
""" Return type depend from both operand of the binary operation. """
args = [self.visit(arg) for arg in (node.left, node.right)]
return list({frozenset.union(*x) for x in itertools.product(*args)}) | python | def visit_BinOp(self, node):
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251,573 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_Call | def visit_Call(self, node):
"""
Function call depend on all function use in the call.
>> a = foo(bar(c) or foobar(d))
Return type depend on [foo, bar] or [foo, foobar]
"""
args = [self.visit(arg) for arg in node.args]
func = self.visit(node.func)
params = args + [func or []]
return list({frozenset.union(*p) for p in itertools.product(*params)}) | python | def visit_Call(self, node):
args = [self.visit(arg) for arg in node.args]
func = self.visit(node.func)
params = args + [func or []]
return list({frozenset.union(*p) for p in itertools.product(*params)}) | [
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251,574 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_Name | def visit_Name(self, node):
"""
Return dependencies for given variable.
It have to be register first.
"""
if node.id in self.naming:
return self.naming[node.id]
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self.naming[node.id] = deps
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if node.id in self.naming:
return self.naming[node.id]
elif node.id in self.global_declarations:
return [frozenset([self.global_declarations[node.id]])]
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self.naming[node.id] = deps
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251,575 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_List | def visit_List(self, node):
""" List construction depend on each elements type dependency. """
if node.elts:
return list(set(sum([self.visit(elt) for elt in node.elts], [])))
else:
return [frozenset()] | python | def visit_List(self, node):
if node.elts:
return list(set(sum([self.visit(elt) for elt in node.elts], [])))
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return [frozenset()] | [
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251,576 | serge-sans-paille/pythran | pythran/types/type_dependencies.py | TypeDependencies.visit_ExceptHandler | def visit_ExceptHandler(self, node):
""" Exception may declare a new variable. """
if node.name:
self.naming[node.name.id] = [frozenset()]
for stmt in node.body:
self.visit(stmt) | python | def visit_ExceptHandler(self, node):
if node.name:
self.naming[node.name.id] = [frozenset()]
for stmt in node.body:
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251,577 | serge-sans-paille/pythran | docs/papers/iop2014/xp/numba/arc_distance.py | arc_distance | def arc_distance(theta_1, phi_1,
theta_2, phi_2):
"""
Calculates the pairwise arc distance between all points in vector a and b.
"""
temp = np.sin((theta_2-theta_1)/2)**2+np.cos(theta_1)*np.cos(theta_2)*np.sin((phi_2-phi_1)/2)**2
distance_matrix = 2 * (np.arctan2(np.sqrt(temp),np.sqrt(1-temp)))
return distance_matrix | python | def arc_distance(theta_1, phi_1,
theta_2, phi_2):
temp = np.sin((theta_2-theta_1)/2)**2+np.cos(theta_1)*np.cos(theta_2)*np.sin((phi_2-phi_1)/2)**2
distance_matrix = 2 * (np.arctan2(np.sqrt(temp),np.sqrt(1-temp)))
return distance_matrix | [
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251,578 | serge-sans-paille/pythran | pythran/transformations/expand_globals.py | ExpandGlobals.visit_Module | def visit_Module(self, node):
"""Turn globals assignment to functionDef and visit function defs. """
module_body = list()
symbols = set()
# Gather top level assigned variables.
for stmt in node.body:
if isinstance(stmt, (ast.Import, ast.ImportFrom)):
for alias in stmt.names:
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symbols.add(name) # no warning here
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symbols.add(stmt.name)
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continue
for target in stmt.targets:
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if target.id in self.to_expand:
raise PythranSyntaxError(
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target)
if isinstance(stmt.value, ast.Name):
if stmt.value.id in symbols:
continue # create aliasing between top level symbols
self.to_expand.add(target.id)
for stmt in node.body:
if isinstance(stmt, ast.Assign):
# that's not a global var, but a module/function aliasing
if all(isinstance(t, ast.Name) and t.id not in self.to_expand
for t in stmt.targets):
module_body.append(stmt)
continue
self.local_decl = set()
cst_value = self.visit(stmt.value)
for target in stmt.targets:
assert isinstance(target, ast.Name)
module_body.append(
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metadata.add(module_body[-1].body[0],
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else:
self.local_decl = self.gather(
LocalNameDeclarations, stmt)
module_body.append(self.visit(stmt))
self.update |= bool(self.to_expand)
node.body = module_body
return node | python | def visit_Module(self, node):
module_body = list()
symbols = set()
# Gather top level assigned variables.
for stmt in node.body:
if isinstance(stmt, (ast.Import, ast.ImportFrom)):
for alias in stmt.names:
name = alias.asname or alias.name
symbols.add(name) # no warning here
elif isinstance(stmt, ast.FunctionDef):
if stmt.name in symbols:
raise PythranSyntaxError(
"Multiple top-level definition of %s." % stmt.name,
stmt)
else:
symbols.add(stmt.name)
if not isinstance(stmt, ast.Assign):
continue
for target in stmt.targets:
if not isinstance(target, ast.Name):
raise PythranSyntaxError(
"Top-level assignment to an expression.",
target)
if target.id in self.to_expand:
raise PythranSyntaxError(
"Multiple top-level definition of %s." % target.id,
target)
if isinstance(stmt.value, ast.Name):
if stmt.value.id in symbols:
continue # create aliasing between top level symbols
self.to_expand.add(target.id)
for stmt in node.body:
if isinstance(stmt, ast.Assign):
# that's not a global var, but a module/function aliasing
if all(isinstance(t, ast.Name) and t.id not in self.to_expand
for t in stmt.targets):
module_body.append(stmt)
continue
self.local_decl = set()
cst_value = self.visit(stmt.value)
for target in stmt.targets:
assert isinstance(target, ast.Name)
module_body.append(
ast.FunctionDef(target.id,
ast.arguments([], None,
[], [], None, []),
[ast.Return(value=cst_value)],
[], None))
metadata.add(module_body[-1].body[0],
metadata.StaticReturn())
else:
self.local_decl = self.gather(
LocalNameDeclarations, stmt)
module_body.append(self.visit(stmt))
self.update |= bool(self.to_expand)
node.body = module_body
return node | [
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251,579 | serge-sans-paille/pythran | pythran/transformations/expand_globals.py | ExpandGlobals.visit_Name | def visit_Name(self, node):
"""
Turn global variable used not shadows to function call.
We check it is a name from an assignment as import or functions use
should not be turn into call.
"""
if (isinstance(node.ctx, ast.Load) and
node.id not in self.local_decl and
node.id in self.to_expand):
self.update = True
return ast.Call(func=node,
args=[], keywords=[])
return node | python | def visit_Name(self, node):
if (isinstance(node.ctx, ast.Load) and
node.id not in self.local_decl and
node.id in self.to_expand):
self.update = True
return ast.Call(func=node,
args=[], keywords=[])
return node | [
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251,580 | serge-sans-paille/pythran | pythran/transformations/normalize_method_calls.py | NormalizeMethodCalls.visit_Module | def visit_Module(self, node):
"""
When we normalize call, we need to add correct import for method
to function transformation.
a.max()
for numpy array will become:
numpy.max(a)
so we have to import numpy.
"""
self.skip_functions = True
self.generic_visit(node)
self.skip_functions = False
self.generic_visit(node)
new_imports = self.to_import - self.globals
imports = [ast.Import(names=[ast.alias(name=mod[17:], asname=mod)])
for mod in new_imports]
node.body = imports + node.body
self.update |= bool(imports)
return node | python | def visit_Module(self, node):
self.skip_functions = True
self.generic_visit(node)
self.skip_functions = False
self.generic_visit(node)
new_imports = self.to_import - self.globals
imports = [ast.Import(names=[ast.alias(name=mod[17:], asname=mod)])
for mod in new_imports]
node.body = imports + node.body
self.update |= bool(imports)
return node | [
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251,581 | serge-sans-paille/pythran | pythran/transformations/normalize_method_calls.py | NormalizeMethodCalls.renamer | def renamer(v, cur_module):
"""
Rename function path to fit Pythonic naming.
"""
mname = demangle(v)
name = v + '_'
if name in cur_module:
return name, mname
else:
return v, mname | python | def renamer(v, cur_module):
mname = demangle(v)
name = v + '_'
if name in cur_module:
return name, mname
else:
return v, mname | [
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251,582 | serge-sans-paille/pythran | pythran/transformations/normalize_method_calls.py | NormalizeMethodCalls.visit_Call | def visit_Call(self, node):
"""
Transform call site to have normal function call.
Examples
--------
For methods:
>> a = [1, 2, 3]
>> a.append(1)
Becomes
>> __list__.append(a, 1)
For functions:
>> __builtin__.dict.fromkeys([1, 2, 3])
Becomes
>> __builtin__.__dict__.fromkeys([1, 2, 3])
"""
node = self.generic_visit(node)
# Only attributes function can be Pythonic and should be normalized
if isinstance(node.func, ast.Attribute):
if node.func.attr in methods:
# Get object targeted by methods
obj = lhs = node.func.value
# Get the most left identifier to check if it is not an
# imported module
while isinstance(obj, ast.Attribute):
obj = obj.value
is_not_module = (not isinstance(obj, ast.Name) or
obj.id not in self.imports)
if is_not_module:
self.update = True
# As it was a methods call, push targeted object as first
# arguments and add correct module prefix
node.args.insert(0, lhs)
mod = methods[node.func.attr][0]
# Submodules import full module
self.to_import.add(mangle(mod[0]))
node.func = reduce(
lambda v, o: ast.Attribute(v, o, ast.Load()),
mod[1:] + (node.func.attr,),
ast.Name(mangle(mod[0]), ast.Load(), None)
)
# else methods have been called using function syntax
if node.func.attr in methods or node.func.attr in functions:
# Now, methods and function have both function syntax
def rec(path, cur_module):
"""
Recursively rename path content looking in matching module.
Prefers __module__ to module if it exists.
This recursion is done as modules are visited top->bottom
while attributes have to be visited bottom->top.
"""
err = "Function path is chained attributes and name"
assert isinstance(path, (ast.Name, ast.Attribute)), err
if isinstance(path, ast.Attribute):
new_node, cur_module = rec(path.value, cur_module)
new_id, mname = self.renamer(path.attr, cur_module)
return (ast.Attribute(new_node, new_id, ast.Load()),
cur_module[mname])
else:
new_id, mname = self.renamer(path.id, cur_module)
if mname not in cur_module:
raise PythranSyntaxError(
"Unbound identifier '{}'".format(mname), node)
return (ast.Name(new_id, ast.Load(), None),
cur_module[mname])
# Rename module path to avoid naming issue.
node.func.value, _ = rec(node.func.value, MODULES)
self.update = True
return node | python | def visit_Call(self, node):
node = self.generic_visit(node)
# Only attributes function can be Pythonic and should be normalized
if isinstance(node.func, ast.Attribute):
if node.func.attr in methods:
# Get object targeted by methods
obj = lhs = node.func.value
# Get the most left identifier to check if it is not an
# imported module
while isinstance(obj, ast.Attribute):
obj = obj.value
is_not_module = (not isinstance(obj, ast.Name) or
obj.id not in self.imports)
if is_not_module:
self.update = True
# As it was a methods call, push targeted object as first
# arguments and add correct module prefix
node.args.insert(0, lhs)
mod = methods[node.func.attr][0]
# Submodules import full module
self.to_import.add(mangle(mod[0]))
node.func = reduce(
lambda v, o: ast.Attribute(v, o, ast.Load()),
mod[1:] + (node.func.attr,),
ast.Name(mangle(mod[0]), ast.Load(), None)
)
# else methods have been called using function syntax
if node.func.attr in methods or node.func.attr in functions:
# Now, methods and function have both function syntax
def rec(path, cur_module):
"""
Recursively rename path content looking in matching module.
Prefers __module__ to module if it exists.
This recursion is done as modules are visited top->bottom
while attributes have to be visited bottom->top.
"""
err = "Function path is chained attributes and name"
assert isinstance(path, (ast.Name, ast.Attribute)), err
if isinstance(path, ast.Attribute):
new_node, cur_module = rec(path.value, cur_module)
new_id, mname = self.renamer(path.attr, cur_module)
return (ast.Attribute(new_node, new_id, ast.Load()),
cur_module[mname])
else:
new_id, mname = self.renamer(path.id, cur_module)
if mname not in cur_module:
raise PythranSyntaxError(
"Unbound identifier '{}'".format(mname), node)
return (ast.Name(new_id, ast.Load(), None),
cur_module[mname])
# Rename module path to avoid naming issue.
node.func.value, _ = rec(node.func.value, MODULES)
self.update = True
return node | [
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Examples
--------
For methods:
>> a = [1, 2, 3]
>> a.append(1)
Becomes
>> __list__.append(a, 1)
For functions:
>> __builtin__.dict.fromkeys([1, 2, 3])
Becomes
>> __builtin__.__dict__.fromkeys([1, 2, 3]) | [
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251,583 | serge-sans-paille/pythran | pythran/toolchain.py | _extract_specs_dependencies | def _extract_specs_dependencies(specs):
""" Extract types dependencies from specs for each exported signature. """
deps = set()
# for each function
for signatures in specs.functions.values():
# for each signature
for signature in signatures:
# for each argument
for t in signature:
deps.update(pytype_to_deps(t))
# and each capsule
for signature in specs.capsules.values():
# for each argument
for t in signature:
deps.update(pytype_to_deps(t))
# Keep "include" first
return sorted(deps, key=lambda x: "include" not in x) | python | def _extract_specs_dependencies(specs):
deps = set()
# for each function
for signatures in specs.functions.values():
# for each signature
for signature in signatures:
# for each argument
for t in signature:
deps.update(pytype_to_deps(t))
# and each capsule
for signature in specs.capsules.values():
# for each argument
for t in signature:
deps.update(pytype_to_deps(t))
# Keep "include" first
return sorted(deps, key=lambda x: "include" not in x) | [
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251,584 | serge-sans-paille/pythran | pythran/toolchain.py | _parse_optimization | def _parse_optimization(optimization):
'''Turns an optimization of the form
my_optim
my_package.my_optim
into the associated symbol'''
splitted = optimization.split('.')
if len(splitted) == 1:
splitted = ['pythran', 'optimizations'] + splitted
return reduce(getattr, splitted[1:], __import__(splitted[0])) | python | def _parse_optimization(optimization):
'''Turns an optimization of the form
my_optim
my_package.my_optim
into the associated symbol'''
splitted = optimization.split('.')
if len(splitted) == 1:
splitted = ['pythran', 'optimizations'] + splitted
return reduce(getattr, splitted[1:], __import__(splitted[0])) | [
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251,585 | serge-sans-paille/pythran | pythran/toolchain.py | _write_temp | def _write_temp(content, suffix):
'''write `content` to a temporary XXX`suffix` file and return the filename.
It is user's responsibility to delete when done.'''
with NamedTemporaryFile(mode='w', suffix=suffix, delete=False) as out:
out.write(content)
return out.name | python | def _write_temp(content, suffix):
'''write `content` to a temporary XXX`suffix` file and return the filename.
It is user's responsibility to delete when done.'''
with NamedTemporaryFile(mode='w', suffix=suffix, delete=False) as out:
out.write(content)
return out.name | [
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251,586 | serge-sans-paille/pythran | pythran/toolchain.py | front_middle_end | def front_middle_end(module_name, code, optimizations=None, module_dir=None):
"""Front-end and middle-end compilation steps"""
pm = PassManager(module_name, module_dir)
# front end
ir, renamings, docstrings = frontend.parse(pm, code)
# middle-end
if optimizations is None:
optimizations = cfg.get('pythran', 'optimizations').split()
optimizations = [_parse_optimization(opt) for opt in optimizations]
refine(pm, ir, optimizations)
return pm, ir, renamings, docstrings | python | def front_middle_end(module_name, code, optimizations=None, module_dir=None):
pm = PassManager(module_name, module_dir)
# front end
ir, renamings, docstrings = frontend.parse(pm, code)
# middle-end
if optimizations is None:
optimizations = cfg.get('pythran', 'optimizations').split()
optimizations = [_parse_optimization(opt) for opt in optimizations]
refine(pm, ir, optimizations)
return pm, ir, renamings, docstrings | [
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251,587 | serge-sans-paille/pythran | pythran/toolchain.py | generate_py | def generate_py(module_name, code, optimizations=None, module_dir=None):
'''python + pythran spec -> py code
Prints and returns the optimized python code.
'''
pm, ir, _, _ = front_middle_end(module_name, code, optimizations,
module_dir)
return pm.dump(Python, ir) | python | def generate_py(module_name, code, optimizations=None, module_dir=None):
'''python + pythran spec -> py code
Prints and returns the optimized python code.
'''
pm, ir, _, _ = front_middle_end(module_name, code, optimizations,
module_dir)
return pm.dump(Python, ir) | [
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251,588 | serge-sans-paille/pythran | pythran/toolchain.py | compile_cxxfile | def compile_cxxfile(module_name, cxxfile, output_binary=None, **kwargs):
'''c++ file -> native module
Return the filename of the produced shared library
Raises CompileError on failure
'''
builddir = mkdtemp()
buildtmp = mkdtemp()
extension_args = make_extension(python=True, **kwargs)
extension = PythranExtension(module_name,
[cxxfile],
**extension_args)
try:
setup(name=module_name,
ext_modules=[extension],
cmdclass={"build_ext": PythranBuildExt},
# fake CLI call
script_name='setup.py',
script_args=['--verbose'
if logger.isEnabledFor(logging.INFO)
else '--quiet',
'build_ext',
'--build-lib', builddir,
'--build-temp', buildtmp]
)
except SystemExit as e:
raise CompileError(str(e))
def copy(src_file, dest_file):
# not using shutil.copy because it fails to copy stat across devices
with open(src_file, 'rb') as src:
with open(dest_file, 'wb') as dest:
dest.write(src.read())
ext = sysconfig.get_config_var('SO')
# Copy all generated files including the module name prefix (.pdb, ...)
for f in glob.glob(os.path.join(builddir, module_name + "*")):
if f.endswith(ext):
if not output_binary:
output_binary = os.path.join(os.getcwd(), module_name + ext)
copy(f, output_binary)
else:
if not output_binary:
output_directory = os.getcwd()
else:
output_directory = os.path.dirname(output_binary)
copy(f, os.path.join(output_directory, os.path.basename(f)))
shutil.rmtree(builddir)
shutil.rmtree(buildtmp)
logger.info("Generated module: " + module_name)
logger.info("Output: " + output_binary)
return output_binary | python | def compile_cxxfile(module_name, cxxfile, output_binary=None, **kwargs):
'''c++ file -> native module
Return the filename of the produced shared library
Raises CompileError on failure
'''
builddir = mkdtemp()
buildtmp = mkdtemp()
extension_args = make_extension(python=True, **kwargs)
extension = PythranExtension(module_name,
[cxxfile],
**extension_args)
try:
setup(name=module_name,
ext_modules=[extension],
cmdclass={"build_ext": PythranBuildExt},
# fake CLI call
script_name='setup.py',
script_args=['--verbose'
if logger.isEnabledFor(logging.INFO)
else '--quiet',
'build_ext',
'--build-lib', builddir,
'--build-temp', buildtmp]
)
except SystemExit as e:
raise CompileError(str(e))
def copy(src_file, dest_file):
# not using shutil.copy because it fails to copy stat across devices
with open(src_file, 'rb') as src:
with open(dest_file, 'wb') as dest:
dest.write(src.read())
ext = sysconfig.get_config_var('SO')
# Copy all generated files including the module name prefix (.pdb, ...)
for f in glob.glob(os.path.join(builddir, module_name + "*")):
if f.endswith(ext):
if not output_binary:
output_binary = os.path.join(os.getcwd(), module_name + ext)
copy(f, output_binary)
else:
if not output_binary:
output_directory = os.getcwd()
else:
output_directory = os.path.dirname(output_binary)
copy(f, os.path.join(output_directory, os.path.basename(f)))
shutil.rmtree(builddir)
shutil.rmtree(buildtmp)
logger.info("Generated module: " + module_name)
logger.info("Output: " + output_binary)
return output_binary | [
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Raises CompileError on failure | [
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251,589 | serge-sans-paille/pythran | pythran/toolchain.py | compile_pythranfile | def compile_pythranfile(file_path, output_file=None, module_name=None,
cpponly=False, pyonly=False, **kwargs):
"""
Pythran file -> c++ file -> native module.
Returns the generated .so (or .cpp if `cpponly` is set to true).
Usage without an existing spec file
>>> with open('pythran_test.py', 'w') as fd:
... _ = fd.write('def foo(i): return i ** 2')
>>> cpp_path = compile_pythranfile('pythran_test.py', cpponly=True)
Usage with an existing spec file:
>>> with open('pythran_test.pythran', 'w') as fd:
... _ = fd.write('export foo(int)')
>>> so_path = compile_pythranfile('pythran_test.py')
Specify the output file:
>>> import sysconfig
>>> ext = sysconfig.get_config_vars()["SO"]
>>> so_path = compile_pythranfile('pythran_test.py', output_file='foo'+ext)
"""
if not output_file:
# derive module name from input file name
_, basename = os.path.split(file_path)
module_name = module_name or os.path.splitext(basename)[0]
else:
# derive module name from destination output_file name
_, basename = os.path.split(output_file)
module_name = module_name or basename.split(".", 1)[0]
module_dir = os.path.dirname(file_path)
# Look for an extra spec file
spec_file = os.path.splitext(file_path)[0] + '.pythran'
if os.path.isfile(spec_file):
specs = load_specfile(open(spec_file).read())
kwargs.setdefault('specs', specs)
output_file = compile_pythrancode(module_name, open(file_path).read(),
output_file=output_file,
cpponly=cpponly, pyonly=pyonly,
module_dir=module_dir,
**kwargs)
return output_file | python | def compile_pythranfile(file_path, output_file=None, module_name=None,
cpponly=False, pyonly=False, **kwargs):
if not output_file:
# derive module name from input file name
_, basename = os.path.split(file_path)
module_name = module_name or os.path.splitext(basename)[0]
else:
# derive module name from destination output_file name
_, basename = os.path.split(output_file)
module_name = module_name or basename.split(".", 1)[0]
module_dir = os.path.dirname(file_path)
# Look for an extra spec file
spec_file = os.path.splitext(file_path)[0] + '.pythran'
if os.path.isfile(spec_file):
specs = load_specfile(open(spec_file).read())
kwargs.setdefault('specs', specs)
output_file = compile_pythrancode(module_name, open(file_path).read(),
output_file=output_file,
cpponly=cpponly, pyonly=pyonly,
module_dir=module_dir,
**kwargs)
return output_file | [
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Returns the generated .so (or .cpp if `cpponly` is set to true).
Usage without an existing spec file
>>> with open('pythran_test.py', 'w') as fd:
... _ = fd.write('def foo(i): return i ** 2')
>>> cpp_path = compile_pythranfile('pythran_test.py', cpponly=True)
Usage with an existing spec file:
>>> with open('pythran_test.pythran', 'w') as fd:
... _ = fd.write('export foo(int)')
>>> so_path = compile_pythranfile('pythran_test.py')
Specify the output file:
>>> import sysconfig
>>> ext = sysconfig.get_config_vars()["SO"]
>>> so_path = compile_pythranfile('pythran_test.py', output_file='foo'+ext) | [
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251,590 | serge-sans-paille/pythran | pythran/transformations/remove_comprehension.py | RemoveComprehension.nest_reducer | def nest_reducer(x, g):
"""
Create a ast.For node from a comprehension and another node.
g is an ast.comprehension.
x is the code that have to be executed.
Examples
--------
>> [i for i in xrange(2)]
Becomes
>> for i in xrange(2):
>> ... x code with if clauses ...
It is a reducer as it can be call recursively for mutli generator.
Ex : >> [i, j for i in xrange(2) for j in xrange(4)]
"""
def wrap_in_ifs(node, ifs):
"""
Wrap comprehension content in all possibles if clauses.
Examples
--------
>> [i for i in xrange(2) if i < 3 if 0 < i]
Becomes
>> for i in xrange(2):
>> if i < 3:
>> if 0 < i:
>> ... the code from `node` ...
Note the nested ifs clauses.
"""
return reduce(lambda n, if_: ast.If(if_, [n], []), ifs, node)
return ast.For(g.target, g.iter, [wrap_in_ifs(x, g.ifs)], []) | python | def nest_reducer(x, g):
def wrap_in_ifs(node, ifs):
"""
Wrap comprehension content in all possibles if clauses.
Examples
--------
>> [i for i in xrange(2) if i < 3 if 0 < i]
Becomes
>> for i in xrange(2):
>> if i < 3:
>> if 0 < i:
>> ... the code from `node` ...
Note the nested ifs clauses.
"""
return reduce(lambda n, if_: ast.If(if_, [n], []), ifs, node)
return ast.For(g.target, g.iter, [wrap_in_ifs(x, g.ifs)], []) | [
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251,591 | serge-sans-paille/pythran | pythran/cxxgen.py | Declarator.inline | def inline(self):
"""Return the declarator as a single line."""
tp_lines, tp_decl = self.get_decl_pair()
tp_lines = " ".join(tp_lines)
if tp_decl is None:
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return "%s %s" % (tp_lines, tp_decl) | python | def inline(self):
tp_lines, tp_decl = self.get_decl_pair()
tp_lines = " ".join(tp_lines)
if tp_decl is None:
return tp_lines
else:
return "%s %s" % (tp_lines, tp_decl) | [
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251,592 | serge-sans-paille/pythran | pythran/cxxgen.py | Struct.get_decl_pair | def get_decl_pair(self):
""" See Declarator.get_decl_pair."""
def get_tp():
""" Iterator generating lines for struct definition. """
decl = "struct "
if self.tpname is not None:
decl += self.tpname
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yield decl
yield "{"
for f in self.fields:
for f_line in f.generate():
yield " " + f_line
yield "} "
return get_tp(), "" | python | def get_decl_pair(self):
def get_tp():
""" Iterator generating lines for struct definition. """
decl = "struct "
if self.tpname is not None:
decl += self.tpname
if self.inherit is not None:
decl += " : " + self.inherit
yield decl
yield "{"
for f in self.fields:
for f_line in f.generate():
yield " " + f_line
yield "} "
return get_tp(), "" | [
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251,593 | serge-sans-paille/pythran | pythran/transformations/normalize_static_if.py | NormalizeStaticIf.make_control_flow_handlers | def make_control_flow_handlers(self, cont_n, status_n, expected_return,
has_cont, has_break):
'''
Create the statements in charge of gathering control flow information
for the static_if result, and executes the expected control flow
instruction
'''
if expected_return:
assign = cont_ass = [ast.Assign(
[ast.Tuple(expected_return, ast.Store())],
ast.Name(cont_n, ast.Load(), None))]
else:
assign = cont_ass = []
if has_cont:
cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None),
[ast.Eq()], [ast.Num(LOOP_CONT)])
cont_ass = [ast.If(cmpr,
deepcopy(assign) + [ast.Continue()],
cont_ass)]
if has_break:
cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None),
[ast.Eq()], [ast.Num(LOOP_BREAK)])
cont_ass = [ast.If(cmpr,
deepcopy(assign) + [ast.Break()],
cont_ass)]
return cont_ass | python | def make_control_flow_handlers(self, cont_n, status_n, expected_return,
has_cont, has_break):
'''
Create the statements in charge of gathering control flow information
for the static_if result, and executes the expected control flow
instruction
'''
if expected_return:
assign = cont_ass = [ast.Assign(
[ast.Tuple(expected_return, ast.Store())],
ast.Name(cont_n, ast.Load(), None))]
else:
assign = cont_ass = []
if has_cont:
cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None),
[ast.Eq()], [ast.Num(LOOP_CONT)])
cont_ass = [ast.If(cmpr,
deepcopy(assign) + [ast.Continue()],
cont_ass)]
if has_break:
cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None),
[ast.Eq()], [ast.Num(LOOP_BREAK)])
cont_ass = [ast.If(cmpr,
deepcopy(assign) + [ast.Break()],
cont_ass)]
return cont_ass | [
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251,594 | serge-sans-paille/pythran | pythran/optimizations/pattern_transform.py | PlaceholderReplace.visit | def visit(self, node):
""" Replace the placeholder if it is one or continue. """
if isinstance(node, Placeholder):
return self.placeholders[node.id]
else:
return super(PlaceholderReplace, self).visit(node) | python | def visit(self, node):
if isinstance(node, Placeholder):
return self.placeholders[node.id]
else:
return super(PlaceholderReplace, self).visit(node) | [
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251,595 | serge-sans-paille/pythran | pythran/optimizations/pattern_transform.py | PatternTransform.visit | def visit(self, node):
""" Try to replace if node match the given pattern or keep going. """
for pattern, replace in know_pattern:
check = Check(node, dict())
if check.visit(pattern):
node = PlaceholderReplace(check.placeholders).visit(replace())
self.update = True
return super(PatternTransform, self).visit(node) | python | def visit(self, node):
for pattern, replace in know_pattern:
check = Check(node, dict())
if check.visit(pattern):
node = PlaceholderReplace(check.placeholders).visit(replace())
self.update = True
return super(PatternTransform, self).visit(node) | [
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251,596 | serge-sans-paille/pythran | pythran/analyses/local_declarations.py | LocalNameDeclarations.visit_Name | def visit_Name(self, node):
""" Any node with Store or Param context is a new identifier. """
if isinstance(node.ctx, (ast.Store, ast.Param)):
self.result.add(node.id) | python | def visit_Name(self, node):
if isinstance(node.ctx, (ast.Store, ast.Param)):
self.result.add(node.id) | [
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251,597 | serge-sans-paille/pythran | pythran/analyses/local_declarations.py | LocalNameDeclarations.visit_FunctionDef | def visit_FunctionDef(self, node):
""" Function name is a possible identifier. """
self.result.add(node.name)
self.generic_visit(node) | python | def visit_FunctionDef(self, node):
self.result.add(node.name)
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251,598 | serge-sans-paille/pythran | pythran/analyses/cfg.py | CFG.visit_If | def visit_If(self, node):
"""
OUT = true branch U false branch
RAISES = true branch U false branch
"""
currs = (node,)
raises = ()
# true branch
for n in node.body:
self.result.add_node(n)
for curr in currs:
self.result.add_edge(curr, n)
currs, nraises = self.visit(n)
raises += nraises
if is_true_predicate(node.test):
return currs, raises
# false branch
tcurrs = currs
currs = (node,)
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self.result.add_node(n)
for curr in currs:
self.result.add_edge(curr, n)
currs, nraises = self.visit(n)
raises += nraises
return tcurrs + currs, raises | python | def visit_If(self, node):
currs = (node,)
raises = ()
# true branch
for n in node.body:
self.result.add_node(n)
for curr in currs:
self.result.add_edge(curr, n)
currs, nraises = self.visit(n)
raises += nraises
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self.result.add_node(n)
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251,599 | serge-sans-paille/pythran | pythran/analyses/cfg.py | CFG.visit_Try | def visit_Try(self, node):
"""
OUT = body's U handler's
RAISES = handler's
this equation is not has good has it could be...
but we need type information to be more accurate
"""
currs = (node,)
raises = ()
for handler in node.handlers:
self.result.add_node(handler)
for n in node.body:
self.result.add_node(n)
for curr in currs:
self.result.add_edge(curr, n)
currs, nraises = self.visit(n)
for nraise in nraises:
if isinstance(nraise, ast.Raise):
for handler in node.handlers:
self.result.add_edge(nraise, handler)
else:
raises += (nraise,)
for handler in node.handlers:
ncurrs, nraises = self.visit(handler)
currs += ncurrs
raises += nraises
return currs, raises | python | def visit_Try(self, node):
currs = (node,)
raises = ()
for handler in node.handlers:
self.result.add_node(handler)
for n in node.body:
self.result.add_node(n)
for curr in currs:
self.result.add_edge(curr, n)
currs, nraises = self.visit(n)
for nraise in nraises:
if isinstance(nraise, ast.Raise):
for handler in node.handlers:
self.result.add_edge(nraise, handler)
else:
raises += (nraise,)
for handler in node.handlers:
ncurrs, nraises = self.visit(handler)
currs += ncurrs
raises += nraises
return currs, raises | [
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