query
stringlengths
9
9.05k
document
stringlengths
10
222k
negatives
listlengths
19
20
metadata
dict
Add symtab dynamic structure.
def add_dt_symtab(self, op): d_tag = AssemblerVariable(("d_tag, DT_SYMTAB = 6", PlatformVar("addr"), 6)) d_un = AssemblerVariable(("d_un", PlatformVar("addr"), op)) self.__data[0:0] = [d_tag, d_un] self.refresh_name_label()
[ "def parseSymbols(self):\n for sec in self.sections:\n if sec.sh_type == SHT_SYMTAB:\n symtab = sec.getBytes()\n while symtab:\n if self.bits == 32:\n newsym = Elf32Symbol(symtab)\n else:\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add an empty symbol.
def add_symbol_empty(self): if osarch_is_32_bit(): self.add_data(("empty symbol", 4, (0, 0, 0, 0))) elif osarch_is_64_bit(): self.add_data(("empty symbol", 4, (0, 0))) self.add_data(("empty symbol", PlatformVar("addr"), (0, 0))) else: raise_unknown_address_size()
[ "def setBlank(self, blankSymbol):\n self.blank = blankSymbol", "def _set_symbol(self, symbol, blank=False):\n self._symbols.add(symbol)\n\n try:\n assert self._blank_symbol == None or not blank\n if blank:\n self._blank_symbol = symbol\n except:\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Reconstruct data from bytestream.
def reconstruct(self, bytestream): self.__data = [] while 0 < len(bytestream): front = bytestream[0] bytestream = bytestream[1:] constructed = front.reconstruct(bytestream) if constructed: bytestream[:constructed] = [] self.__data += [front]
[ "def unpack(self, data):\r\n data_size = len(data)\r\n msg_magic, msg_length, msg_type = self.unpack_header(data)\r\n msg_size = self.struct_header_size + msg_length\r\n # Message shouldn't be any longer than the data\r\n if data_size >= msg_size:\r\n payload = data[sel...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add a name end label to last assembler variable.
def refresh_name_end_label(self): end_label = "%s_end" % (self.__name) for ii in self.__data: ii.remove_label_post(end_label) if 0 < len(self.__data): self.__data[-1].add_label_post(end_label)
[ "def generate_end_label(scope):\n name=scope['loop']\n return [f'label {name.upper()}_END{scope[\"current_\"+name]}']", "def make_end(name): \n return '</'+name+'>'", "def add_suffix(self, suffix: str):\n self.target = tuple(var + suffix for var in self.target)\n\n self.scope = tuple(\...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get cumulative size of data.
def size(self): ret = 0 for ii in self.__data: ret += int(ii.get_size()) return ret
[ "def totalsize(self):\n return sum([sz for sz in self.iterate()])", "def get_size(self):\n cum_size = 0\n for stream in self.__streams.values():\n cum_size += sys.getsizeof(stream)\n for trace in stream:\n cum_size += sys.getsizeof(trace)\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if command basename starts with given string.
def command_basename_startswith(self, op): return self.__command_basename.startswith(op)
[ "def startswith(string, prefix):\n return string.startswith(prefix) and safe_split_index(string, len(prefix)) == len(prefix)", "def is_command(text):\n return text.startswith('/')", "def startswith(self, x):\n return self.name.startswith(x)", "def _check_output_prefix(arg: str) -> str:\n\n if ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate linker command for given mode.
def generate_linker_flags(self): self.__linker_flags = [] if self.__command_basename.startswith("g++") or self.__command_basename.startswith("gcc"): self.__linker_flags += ["-nostartfiles", "-nostdlib", "-Xlinker", "--strip-all"] elif self.__command_basename.startswith("clang"): self.__linker_fl...
[ "def set_linker_script(self, op):\n self.__linker_script = [\"-T\", op]", "def generate_loader(mode, symbols, definition, linker):\n if \"vanilla\" == mode:\n loader_content = generate_loader_vanilla()\n elif \"dlfcn\" == mode:\n loader_content = generate_loader_dlfcn(symbols, linker)\n else:\n loa...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate link library list libraries.
def get_library_list(self): ret = [] prefix = "-l" if self.__command_basename.startswith("cl."): prefix = "/l" for ii in self.__libraries: ret += [prefix + ii] return ret
[ "def linking_library_dirs(self):", "def to_links(libs):\n #return [filter_link(a) for a in ['-l'+s for s in libs]]\n return [a for a in ['-l'+s for s in libs]]", "def add_linking_library(self, library):", "def library_dirs(self):", "def _get_links(self, library):\n links = []\n for link_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get linker script from linker, improve it, write improved linker script to given file.
def generate_linker_script(self, dst, modify_start = False): (so, se) = run_command([self.__command, "--verbose"]) if 0 < len(se) and is_verbose(): print(se) match = re.match(r'.*linker script\S+\s*\n=+\s+(.*)\s+=+\s*\n.*', so, re.DOTALL) if not match: raise RuntimeError("could not extract s...
[ "def change_ld(binary, ld):\n if not os.access(ld, os.R_OK): \n log.failure(\"Invalid path {} to ld\".format(ld))\n return None\n \n \n if not isinstance(binary, ELF):\n if not os.access(binary, os.R_OK): \n log.failure(\"Invalid path {} to binary\".format(binary))\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Link a binary file with no bells and whistles.
def link_binary(self, src, dst): cmd = [self.__command, "--entry=" + str(PlatformVar("entry")), src, "-o", dst] + self.__linker_script (so, se) = run_command(cmd) if 0 < len(se) and is_verbose(): print(se) return so
[ "def link_file(source, target):\n try:\n os.symlink(source, target)\n except AttributeError:\n try:\n os.link(source, target)\n except AttributeError:\n copy_file(source, target)", "def link_to_blob(self, path, csum):\n new_link = self.csum_to_path(csum)\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Set libraries to link.
def set_libraries(self, lst): self.__libraries = lst
[ "def _set_libraries(self, libraries):\n\tself.addLibraries(libraries)", "def add_linking_library(self, library):", "def linking_library_dirs(self):", "def _add_linking_libs(context, call):\n libs = getattr(call, \"libs\", ())\n if libs:\n context.add_linking_libs(libs)", "def addLibraries(self,...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Use given linker script.
def set_linker_script(self, op): self.__linker_script = ["-T", op]
[ "def generate_linker_script(self, dst, modify_start = False):\n (so, se) = run_command([self.__command, \"--verbose\"])\n if 0 < len(se) and is_verbose():\n print(se)\n match = re.match(r'.*linker script\\S+\\s*\\n=+\\s+(.*)\\s+=+\\s*\\n.*', so, re.DOTALL)\n if not match:\n raise RuntimeError(...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add extra compiler flags.
def add_extra_compiler_flags(self, op): if is_listing(op): for ii in op: self.add_extra_compiler_flags(ii) elif not op in self.__include_directories and not op in self.__definitions: self.__compiler_flags_extra += [op]
[ "def set_c_flags_hook(build_ext, ext):\n std_flag = get_c_std_flag(build_ext.compiler)\n if std_flag is not None:\n ext.extra_compile_args.append(std_flag)", "def try_add_flag(args, compiler, flag, ext=None):\n if try_compile(compiler, flags=args+[flag], ext=ext):\n args.append(flag)", "d...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Compile and link a file directly.
def compile_and_link(self, src, dst): cmd = [self.get_command(), src, "-o", dst] + self.__compiler_flags + self.__compiler_flags_extra + self.__definitions + self.__include_directories + self.get_linker_flags() + self.get_library_directory_list() + self.get_library_list() (so, se) = run_command(cmd) if 0 < ...
[ "def link(prog_path: str, o_files: List[File]) -> File:\n print(\"linking\")\n os.system(\"gcc -o {prog_path} {o_files}\".format(\n prog_path=prog_path,\n o_files=' '.join(o_file.path for o_file in o_files),\n ))\n return File(prog_path)", "def __makeLinkable(self, inputFile, args):\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Set include directory listing.
def set_include_dirs(self, lst): prefix = "-I" if self.command_basename_startswith("cl."): prefix = "/I" self.__include_directories = [] for ii in lst: if os.path.isdir(ii): new_include_directory = prefix + ii if new_include_directory in self.__compiler_flags_extra: ...
[ "def include_dirs(self):", "def write_include_dir(self):\n\n incl_dir = self.tree.find(\n '//ns:ItemGroup/ns:ClCompile/ns:AdditionalIncludeDirectories',\n namespaces=self.ns\n )\n if incl_dir is None:\n incl_dir = self.tree.find(\n '//ns:ItemDef...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate direct C code for data block.
def generate_c_data_block(self): ret = "static const uint8_t elfling_weights[] =\n{\n " for ii in range(len(self.__weights)): if 0 < ii: ret += ", " ret += "%i" % (self.__weights[ii]) ret += "\n};\n\nstatic const uint8_t elfling_contexts[] =\n{\n " for ii in range(len(self.__contex...
[ "def cdataBlock(self, data):\n pass", "def code_gen(self):\r\n\r\n if getattr(self, 'struct_code', False):\r\n return self.struct_code\r\n\r\n no_recycling = self.no_recycling\r\n\r\n self.consts = []\r\n\r\n c_support_code_apply = []\r\n c_init_code_apply = []...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate the C uncompressor source.
def generate_c_source(self): return template_elfling_source % (self.generate_c_data_block(), ELFLING_WORK, ELFLING_OUTPUT, ELFLING_UNCOMPRESSED, len(self.__contexts), ELFLING_WORK, self.get_input_offset(), ELFLING_OUTPUT, self.get_uncompressed_size(), ELFLING_UNCOMPRESSED)
[ "def gen_csource(protocol):\n\tdef format_default(reg):\n\t\t\"\"\"Given a reg, return its default value formatted as a string for inclusion in\n\t\t a C source file.\"\"\"\n\t\tif reg.size == \"accum\":\n\t\t\treturn str(float(reg.default)) + \"k\"\n\t\telse:\n\t\t\treturn str(int(reg.default)) + \"L\"\n\n\ts = ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get contexts. Contains dummy data until compression has been ran.
def get_contexts(self): return self.__contexts
[ "def contexts(self):\n return self._contexts", "def get_contexts(self):\n return self._contexts", "def _context_list(self):\r\n url = \"{}/contexts/\".format(self._org_url)\r\n contexts = self._request(url)\r\n if not contexts:\r\n LOGGER.warning(\"No contexts available...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get the input offset for compressed data.
def get_input_offset(self): return ELFLING_PADDING + len(self.__data) - 4
[ "def offset(self):\r\n return self.buf[0].unib[9:11]", "def get_data_offset(bs):\n return bs[12] >> 4", "def gguf_get_data_offset(ctx: ffi.CData) -> int:\n ...", "def data_offset(self):\n if self.raw_data_length() < 5 or self.raw_data_length() >= 0x80000000:\n return self.absolu...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get uncompressed size. Contains dummy value until compression has been ran.
def get_uncompressed_size(self): return self.__uncompressed_size
[ "def get_uncompressed_size(self):\n if not self.is_compressed():\n return self.size\n elif self.data is None:\n raise ValueError('Data not read from record')\n else:\n return unpack('<L', self.data[:4])[0]", "def layers_compressed_size(self):\n # don't ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return the working area size required for decompression.
def get_work_size(self): # TODO: Extract this value from the source. return (4 << 20) * 16
[ "def get_uncompressed_size(self):\n return self.__uncompressed_size", "def get_size(self):\n return get_dir_size(self.run_dir)", "def layers_compressed_size(self):\n # don't have this information at this point\n return None", "def getWorkingPlayAreaSize(self):\r\n fn = self.func...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Write elfling uncompressor source into given location.
def write_c_source(self, dst): wfd = open(dst, "wt") wfd.write(self.generate_c_source()) wfd.close()
[ "def main(sourcefile, output, compress, minify, minify_obfuscate,\n line_width, export_symbol):\n\n name = os.path.splitext(os.path.basename(sourcefile.name))[0]\n output.write(mkblob(name=name, code=sourcefile.read(), minify=minify,\n compress=compress, minify_obfuscate=minify_obfuscate,\n line_widt...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get linkable library object name.
def get_library_name(self, linker): return linker.get_library_name(self.__library.get_name())
[ "def libraryName(self):\n return _osgAnimation.LinkVisitor_libraryName(self)", "def _libname(self):\n return os.path.basename(self._libpath)", "def _libname(self, libpath):\n # Cut off 'lib' at the beginning of filename, and '.a' at end.\n return os.path.basename(libpath)[3:-2]", "def dll_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add a symbol listing.
def add_symbols(self, lst): for ii in lst: self.__symbols += [Symbol(ii, self)]
[ "def AddSymbol(self,name,stype,body=None):\n if self.IsSymbol(name):\n raise Exception('Program Bug -- name \"%s\" already exists is symbols' % name);\n self.symbols['list'].append(name);\n self.symbols['type'].append(stype);\n self.symbols['body'].append(body);", "def add_symbol(self, symbol):\n...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Analyze given preprocessed C source for symbol names.
def analyze_source(source, prefix): symbolre = re.compile(r"[\s:;&\|\<\>\=\^\+\-\*/\(\)\?]" + prefix + "([a-zA-Z0-9_]+)[\s\(]") results = symbolre.findall(source, re.MULTILINE) ret = set() for ii in results: symbolset = set() symbolset.add(ii) ret = ret.union(symbolset) return ret
[ "def ParseVMSymbols(self, filename, start, end):\n pipe = os.popen('nm -n %s | c++filt' % filename, 'r')\n try:\n for line in pipe:\n row = re.match('^([0-9a-fA-F]{8}) . (.*)$', line)\n if row:\n addr = int(row.group(1), 16)\n if addr < start and addr < end - start:\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate the loader code.
def generate_loader(mode, symbols, definition, linker): if "vanilla" == mode: loader_content = generate_loader_vanilla() elif "dlfcn" == mode: loader_content = generate_loader_dlfcn(symbols, linker) else: loader_content = generate_loader_hash(symbols) ret = template_loader % (definition, loader_cont...
[ "def generate_loader_vanilla():\n return template_loader_vanilla", "def codegen():", "def _load_source(self):\r\n pass", "def setup_loader():\n # The type of loader to use, see simuran.loaders.loader_list.py for options\n # For now nc_loader is the most common option\n # loader = ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate dlopen/dlsym loader code.
def generate_loader_dlfcn(symbols, linker): dlfcn_string = "" current_lib = None for ii in symbols: symbol_lib = ii.get_library().get_name() if current_lib != symbol_lib: if current_lib: dlfcn_string += "\"\\0%s\\0\"\n" % (ii.get_library_name(linker)) else: dlfcn_string += "\"%...
[ "def generate_loader(mode, symbols, definition, linker):\n if \"vanilla\" == mode:\n loader_content = generate_loader_vanilla()\n elif \"dlfcn\" == mode:\n loader_content = generate_loader_dlfcn(symbols, linker)\n else:\n loader_content = generate_loader_hash(symbols)\n ret = template_loader % (definit...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate import by hash loader code.
def generate_loader_hash(symbols): return template_loader_hash % (str(PlatformVar("entry")), len(symbols))
[ "def gen_import(self) -> str:\n as_name = self.exported_parts[-1]\n if as_name == self.imported_name:\n import_line = 'from {} import {}'.format(self.imported_module,\n self.imported_name)\n else:\n import_line = 'from {} import {} as {}'.format(self....
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate loader that actually leaves the loading to the operating system.
def generate_loader_vanilla(): return template_loader_vanilla
[ "def generate_loader(mode, symbols, definition, linker):\n if \"vanilla\" == mode:\n loader_content = generate_loader_vanilla()\n elif \"dlfcn\" == mode:\n loader_content = generate_loader_dlfcn(symbols, linker)\n else:\n loader_content = generate_loader_hash(symbols)\n ret = template_loader % (definit...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate a listing of definitions from replacement symbols to real symbols.
def generate_symbol_definitions(mode, symbols, prefix, definition): direct = [] tabled = [] for ii in symbols: direct += [ii.generate_rename_direct(prefix)] tabled += [ii.generate_rename_tabled(prefix)] if "vanilla" == mode: tabled = direct return template_symbol_definitions % (definition, "\n".jo...
[ "def definitions(self, target_data):\n for definition in self.from_target_data(target_data).data.definitions:\n yield f\"-D {definition}\"", "def glt_latex_definitions():\n # ...\n t = Symbol('t')\n m = Symbol('m')\n s = Symbol('s')\n a = Symbol('a')\n # ...\n\n # ...\n d...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Generate the symbol struct definition.
def generate_symbol_struct(mode, symbols, definition): if "vanilla" == mode: return "" definitions = [] hashes = [] symbol_table_content = "" for ii in symbols: definitions += [" %s;" % (ii.generate_definition())] hashes += [" %s%s," % (ii.generate_prototype(), ii.get_hash())] if "dlfcn" != mo...
[ "def generate_symbol_definitions(mode, symbols, prefix, definition):\n direct = []\n tabled = []\n for ii in symbols:\n direct += [ii.generate_rename_direct(prefix)]\n tabled += [ii.generate_rename_tabled(prefix)]\n if \"vanilla\" == mode:\n tabled = direct\n return template_symbol_definitions % (defi...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Compress a file to be a selfextracting filedumping executable.
def compress_file(compression, pretty, src, dst): str_tail = "sed 1d" str_cleanup = ";exit" if pretty: str_tail = "tail -n+2" str_cleanup = ";rm ~;exit" if "lzma" == compression: command = ["xz", "--format=lzma", "--lzma1=preset=9e,lc=1,lp=0,pb=0", "--stdout"] header = "HOME=/tmp/i;%s $0|lzcat>~...
[ "def compress(infile):\r\n cmd = ' '.join([\"gzip\", \"-f\", infile])\r\n pipe = subprocess.run(cmd, shell=True,\r\n stdout=subprocess.PIPE,\r\n stderr=subprocess.PIPE)", "def compress_file(self, filename):\n # pylint: disable=consider-using-with\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if given file contains nothing but ASCII7 text.
def file_is_ascii_text(op): if not os.path.isfile(op): return False fd = open(op, "rb") while True: line = fd.readline() if 0 >= len(line): fd.close() return True try: line.decode("ascii") except UnicodeDecodeError: fd.close() return False
[ "def is_text(self, filename):\n payload = open(filename, 'rb').read(512)\n _null_trans = bytes.maketrans(b\"\", b\"\")\n if not payload:\n # Empty files are considered text\n return True\n if b\"\\0\" in payload:\n # Files with null bytes are likely binar...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get the UND symbols required for this platform.
def get_platform_und_symbols(): ret = None if osname_is_freebsd(): ret = sorted(["environ", "__progname"]) if is_verbose(): print("Checking for required UND symbols... " + str(ret)) return ret
[ "def get_symbol(self):\n return []", "async def _load_supported_symbols() -> List[Symbol]:\n return []", "def symbols(self):\n path = \"/v1/symbols\"\n return self._get(path)", "def ionic_symbols(self) -> list[str]:\n return self.to_list().symbols", "def symbols(self):\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Tell if given register is used for saving the stack.
def is_stack_save_register(op): return op.lower() in ('rbp', 'ebp')
[ "def append_register(self, register):\n register_str, is_saved = register # pylint: disable=I0011,W0612\n\n if is_saved:\n self.__history.append(register)\n return True\n\n return False", "def is_on_stack(self, address):\n return self.is_address_of_type(address, Memor...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Tell if a variable can be deconstructed.
def is_deconstructable(op): return isinstance(op, int) or (isinstance(op, PlatformVar) and op.deconstructable())
[ "def deconstructable(self):\n return isinstance(self.get(), int)", "def deconstructable(self):\n return isinstance(self.get(), int)", "def _pfp__can_unpack(self):\n return self._pfp__pack_type is not None", "def valid(v): # this is a var, return true if it's valid.\n\tif v.cat == \"Continuou...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Tell if given parameter is a listing.
def is_listing(op): return isinstance(op, (list, tuple))
[ "def IsList(param):\n if type(param) is types.ListType:\n return True\n return False", "def test_listing_available(self):\n portal_types = api.portal.get_tool(name='portal_types')\n self.assertTrue(LISTING_TYPE in portal_types)", "def is_list(self):\n answer = self._call('is_list...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Try to merge segments in a given list inplace.
def merge_segments(lst): ii = 0 while True: jj = ii + 1 if len(lst) <= jj: return lst seg1 = lst[ii] seg2 = lst[jj] if seg1.merge(seg2): if seg2.empty(): del lst[jj] else: ii += 1 else: ii += 1 return lst
[ "def merge_segdb(segdbs):\n segdb = segdbs[0]\n for r in segdbs[1:]:\n segdb.extend(r)\n return segdb", "def submitlist(jb, ls):\n segstart, segend = calculatestartend(ls) # Get the segment id for the current segment\n seg = None\n opp = None\n with jb.lock: # Lock the segments dicti...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if the architecture is 32bit.
def osarch_is_32_bit(): return osarch_match("32-bit")
[ "def osarch_is_32_bit():\n return osarch_match(\"32-bit\")", "def is_32bit(self):\n return self.machine in ['i386', 'i586', 'i686']", "def isIntelX86_32bit():\n return String(System.getProperty(\"os.arch\", \"null\").strip()).toLowerCase(Locale.ROOT) == \"x86\"", "def is_32bit(self) -> bool:\...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if the architecture maps to amd64.
def osarch_is_amd64(): return osarch_match("amd64")
[ "def osarch_is_amd64():\n return osarch_match(\"amd64\")", "def is_os_64bit():\n import platform\n return platform.machine().endswith('64')", "def is64bit():\r\n return platform.machine().endswith('64')", "def is_64bit(self):\n return self.machine == 'x86_64'", "def is64bit(self):\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if the architecture maps to ia32.
def osarch_is_ia32(): return osarch_match("ia32")
[ "def osarch_is_ia32():\n return osarch_match(\"ia32\")", "def osarch_is_32_bit():\n return osarch_match(\"32-bit\")", "def osarch_is_32_bit():\n return osarch_match(\"32-bit\")", "def isIntelX86_32bit():\n return String(System.getProperty(\"os.arch\", \"null\").strip()).toLowerCase(Locale.ROOT) ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if osarch matches some chain resulting in given value.
def osarch_match(op): arch = g_osarch while True: if op == arch: return True arch = platform_map_iterate(arch) if not arch: break return False
[ "def osarch_match(op):\n arch = g_osarch\n while True:\n if op == arch:\n return True\n arch = platform_map_iterate(arch)\n if not arch:\n break\n return False", "def test_usearch_supported_version(self):\r\n acceptable_version = [(5, 2, 236), (5, 2, 236)...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if the operating system name maps to FreeBSD.
def osname_is_freebsd(): return ("FreeBSD" == g_osname)
[ "def host_os_is(osname):\n if os.name == osname:\n return True\n return False", "def determine_if_os_is_posix_compliant():\n return bool(os.name == \"posix\")", "def osname_is_linux():\n return (\"Linux\" == g_osname)", "def is_linux():\n return guess_os() == 'linux'", "def is_linux():\n...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Check if the operating system name maps to Linux.
def osname_is_linux(): return ("Linux" == g_osname)
[ "def is_linux():\n return guess_os() == 'linux'", "def is_linux():\n if os.name == 'posix':\n return True\n return False", "def os_is_linux():\n return platform.system() == \"Linux\" and \"raspberrypi\" not in platform.uname()", "def is_linux():\n return sys.platform[:5] == \"linux\"", ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Common function to raise an error if os architecture address size is unknown.
def raise_unknown_address_size(): raise RuntimeError("platform '%s' addressing size unknown" % (g_osarch))
[ "def check_architecture(target_architecture):\n if target_architecture == ARCH_16_BIT:\n # should be fine, most computers are at least 32 bit these days\n pass\n elif target_architecture == ARCH_32_BIT:\n # should be fine, most computers are at least 32 bit these days\n pass\n e...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Read information from an ELF file using readelf. Return as dictionary.
def readelf_get_info(op): ret = {} (so, se) = run_command(["readelf", "--file-header", "--program-headers", op]) match = re.search(r'LOAD\s+\S+\s+(\S+)\s+\S+\s+(\S+)\s+\S+\s+RWE', so, re.MULTILINE) if match: ret["base"] = int(match.group(1), 16) ret["size"] = int(match.group(2), 16) else: raise Ru...
[ "def get_elf_info(filepath):\n local_path = pwndbg.gdblib.file.get_file(filepath)\n with open(local_path, \"rb\") as f:\n elffile = ELFFile(f)\n header = dict(elffile.header)\n segments = []\n for seg in elffile.iter_segments():\n s = dict(seg.header)\n s[\"x_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Truncate file to size reported by readelf first PT_LOAD file size.
def readelf_truncate(src, dst): info = readelf_get_info(src) size = os.path.getsize(src) truncate_size = info["size"] if size == truncate_size: if is_verbose(): print("Executable size equals PT_LOAD size (%u bytes), no truncation necessary." % (size)) shutil.copy(src, dst) else: if is_verbos...
[ "def testTruncate(self):\n # Check truncation at all possible boundaries (including start and end).\n for size in range(0, self.TEST_FILE_SIZE + self.TEST_FILE_BLOCK_SIZE,\n self.TEST_FILE_BLOCK_SIZE):\n sparse_file = self._clone_sparse_file()\n ih = bpttool.ImageHandler(sparse_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add the serialized data of the FIFO to the current FIFO.
def addFIFO(self, fifo): if not isinstance(fifo, MessageFIFO): raise SerializationError('fifo is not of type MessageFIFO.') self._buf += fifo
[ "def push(self, data):\n self.data.append(data)", "def add_last(self, data):\n self.deque.append(data)", "def enque(self, data):\n\t\tself._queue.append(data)", "def _AddSerializedEvent(self, event):\n identifier = identifiers.SerializedStreamIdentifier(\n self._last_stream_numbers['ev...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get the FIFO containing the remaining data.
def getFIFO(self): return self._buf
[ "def fifo(self):\n return self.__fifo", "def queue_fifo(self):\n return deque(list(self.queue()))", "def pop_sm(self):\r\n while True:\r\n # wait to receive a read request\r\n req = yield self.r_in_pipe.get()\r\n # model read latency\r\n #for i in...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Run an Import volumes protocol.
def runImportVolumes(cls, pattern, samplingRate): cls.protImport = cls.newProtocol(ProtImportVolumes, filesPath=pattern, samplingRate=samplingRate ) cls.launchProtocol(cls.protImpor...
[ "def ImportVolume(self, **kwargs):\n logger.debug('ImportVolume called')\n self.ImportManifestUrl = kwargs['Image.ImportManifestUrl']\n self.ImportType = 'ImportVolume'\n\n # launch thread to go import volume\n worker = threading.Thread(target=self.handle_import,\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Searches and loads target files, and runs compile_target() on a multiprocessing pool with parallel number of processes. kwargs are passed to compile_target()
def compile_targets( inventory_path, search_paths, output_path, parallel, targets, labels, ref_controller, **kwargs ): # temp_path will hold compiled items temp_path = tempfile.mkdtemp(suffix=".kapitan") # enable previously compiled items to be reference in other compile inputs search_paths.append(t...
[ "def compile_targets(target_path, search_path, output_path, parallel, **kwargs):\n # temp_path will hold compiled items\n temp_path = tempfile.mkdtemp(suffix='.kapitan')\n pool = multiprocessing.Pool(parallel)\n # append \"compiled\" to output_path so we can safely overwrite it\n compile_path = os.pa...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
generates the hashes for the inventory per target and jsonnet/jinja2 folders for caching purposes
def generate_inv_cache_hashes(inventory_path, targets, cache_paths): inv = inventory_reclass(inventory_path) cached.inv_cache = {} cached.inv_cache["inventory"] = {} cached.inv_cache["folder"] = {} if targets: for target in targets: try: cached.inv_cache["invento...
[ "def create_build_hash(self):\n\n # The hash order is:\n # - The build script\n # - The build specificity\n # - The build group and umask\n # - The src archive.\n # - For directories, the mtime (updated to the time of the most\n # recently updated file) i...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
returns a list of targets that have changed since last compilation
def changed_targets(inventory_path, output_path): targets = [] inv = inventory_reclass(inventory_path) saved_inv_cache = None saved_inv_cache_path = os.path.join(output_path, "compiled/.kapitan_cache") if os.path.exists(saved_inv_cache_path): with open(saved_inv_cache_path, "r") as f: ...
[ "def env_get_outdated_hook(app, env, added, changed, removed):\n import os\n\n reread = set()\n\n for target in app.env.domaindata[\"broxygen\"][\"targets\"].values():\n before_mtime = os.stat(target.generated_file)\n build_target(env, target)\n after_mtime = os.stat(target.generated_f...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
save the cache to .kapitan_cache for inventories per target and folders
def save_inv_cache(compile_path, targets): if cached.inv_cache: inv_cache_path = os.path.join(compile_path, ".kapitan_cache") # If only some targets were selected (-t), overwride only their inventory if targets: saved_inv_cache = None try: with open(in...
[ "def save_cache(self, cache_dir):\n if not self.is_numeric:\n raise ValueError(\"No need to save if not numeric\")\n if self.is_supervised:\n raise NotImplementedError(\"Caching not yet implemented for supervised views\")\n\n os.makedirs(cache_dir, exist_ok=True)\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
returns a list of target objects from the inventory
def load_target_inventory(inventory_path, targets, ignore_class_notfound=False): target_objs = [] inv = inventory_reclass(inventory_path, ignore_class_notfound) # if '-t' is set on compile, only loop through selected targets if targets: targets_list = targets else: targets_list = in...
[ "def get_inventory(self):\n from noc.inv.models.object import Object\n\n return list(Object.objects.filter(data__management__managed_object=self.id))", "def get_equipment_from_inventory(self):\n return [x for x in self.inventory if x.is_equip()]", "def hittable_targets(self):\n retur...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
returns a list of targets where the labels match, otherwise just return the original targets
def search_targets(inventory_path, targets, labels): if not labels: return targets try: labels_dict = dict(label.split("=") for label in labels) except ValueError: raise CompileError( "Compile error: Failed to parse labels, should be formatted like: kapitan compile -l en...
[ "def get_target_nets(self):\n return [getattr(self, f'target_{k}') for k in self.model \n if f'target_{k}' in self.model]", "def targets(self, target_ids=None):\n return [self._target()]", "def identify(cls, targets):\r\n return cls.combine_ids(target.id for target in targets)", ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Compiles target_obj and writes to compile_path
def compile_target(target_obj, search_paths, compile_path, ref_controller, globals_cached=None, **kwargs): start = time.time() compile_objs = target_obj["compile"] ext_vars = target_obj["vars"] target_name = ext_vars["target"] if globals_cached: cached.from_dict(globals_cached) use_go_...
[ "def compile_target_file(target_file, search_path, compile_path, **kwargs):\n target_obj = load_target(target_file)\n target_name = target_obj[\"vars\"][\"target\"]\n compile_obj = target_obj[\"compile\"]\n ext_vars = target_obj[\"vars\"]\n\n for obj in compile_obj:\n if obj[\"type\"] == \"jso...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Validates a target_obj Returns a dict object if target is valid Otherwise raises ValidationError
def valid_target_obj(target_obj, require_compile=True): schema = { "type": "object", "properties": { "vars": {"type": "object"}, "secrets": { "type": "object", "properties": { "gpg": { "type": "objec...
[ "def validate(self, obj):\n\n raise Error(\"Not implemented.\")", "def _validate_object_reference(instance: typing.Dict[str, typing.Any], schema: typing.Dict[str, typing.Any], path: typing.List[str]) -> None:\n if not isinstance(instance, dict):\n raise ValidationError('instance must be dict', pa...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
validates compiled output according to schemas specified in the inventory
def schema_validate_compiled(args): if not os.path.isdir(args.compiled_path): logger.error("compiled-path %s not found", args.compiled_path) sys.exit(1) if not os.path.isdir(args.schemas_path): os.makedirs(args.schemas_path) logger.info("created schema-cache-path at %s", args.sc...
[ "def check_database_content(self):\n\n self.run()\n for resource in self.datapackage.resources:\n resource_path = resource.local_data_path\n if os.path.exists(resource_path):\n options = {'schema': {'schema': resource.descriptor['schema']}}\n pipe = ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
validates given files according to kubernetes manifest schemas schemas are cached from/to cache_dir validate_data must be of structure ((kind, version), validate_files)
def schema_validate_kubernetes_output(validate_data, cache_dir): (kind, version), validate_files = validate_data KubernetesManifestValidator(cache_dir).validate(validate_files, kind=kind, version=version)
[ "def schema_validate_compiled(args):\n if not os.path.isdir(args.compiled_path):\n logger.error(\"compiled-path %s not found\", args.compiled_path)\n sys.exit(1)\n\n if not os.path.isdir(args.schemas_path):\n os.makedirs(args.schemas_path)\n logger.info(\"created schema-cache-path ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Create an instance of a extended cookie auth helper.
def manage_addBlowfishExtendedCookieAuthHelper(self, id, title='', RESPONSE=None, **kw): self = self.this() o = BlowfishExtendedCookieAuthHelper(id, title, **kw) self._setObject(o.getId(), o) o = getattr(aq_base(self), id) if RESPONSE is not None: RE...
[ "def manage_addSecureLoginCookieAuthHelper(self, id, title='',\n RESPONSE=None, **kw):\n self = self.this()\n\n o = SecureLoginCookieAuthHelper(id, title, **kw)\n self._setObject(o.getId(), o)\n o = getattr(aq_base(self), id)\n\n if RESPONSE is not None:\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Converts note attributes into primitive values suitable for serialization and puts them into a dict.
def to_dict(self): note_dict = { 'body': self.body, 'tags': self.tags, 'created_at': self.serialize_timestamp(self.created_at), 'modified_at': self.serialize_timestamp(self.modified_at), 'id': self.id } assert ...
[ "def test_note_asdict(fake_note_with_video_attachment):\n\n note_id_value: str = str(uuid.uuid4())\n a_note = Note.from_dict(note_id_value, fake_note_with_video_attachment)\n assert \"msdyn_workorder\" == a_note.asdict()['object_type']\n assert a_note.work_order_id == a_note.asdict()['work_order_id']\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Converts raw values from specified dict into a Note. The dict is expected to be suitable for serialization and therefore the values are expected to be of specific primitive types.
def from_dict(cls, note_dict): missing_properties = set(cls.SERIALIZED_ATTRIBUTE_TYPES.keys()) - set(note_dict.keys()) if len(missing_properties) > 0: raise MissingProperties("Some required properties are missing: {}".format(missing_properties)) for attribute in cls.SERIALIZED_ATTR...
[ "def from_dict(cls, dct):\n if dct.pop('type') != cls.__name__:\n fmt = 'Can not construct Note from dict %s'\n raise ValueError(fmt % dct)\n\n return cls(**dct)", "def test_note_asdict(fake_note_with_video_attachment):\n\n note_id_value: str = str(uuid.uuid4())\n a_note ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return if this rule matches the URL. What to do if rule is matched is up to developer. Most likely ``.is_exception`` attribute should be taken in account.
def match_url(self, url, options=None): options = options or {} for optname in self.options: if optname == 'match-case': # TODO continue if optname not in options: raise ValueError("Rule requires option %s" % optname) if optname == '...
[ "def can_handle(self, url):\n return self.url_re.match(url)", "def match_url(self, url):\n pass", "async def has_url(self, url: StrOrURL) -> bool:\n key = self.create_key('GET', url)\n return await self.responses.contains(str(key)) or await self.redirects.contains(str(key))", "def ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return whether this rule can return meaningful result, given the `options` dict. If some options are missing, then rule shouldn't be matched against, and this function returns False.
def matching_supported(self, options=None): if self.is_comment: return False if self.is_html_rule: # HTML rules are not supported yet return False options = options or {} keys = set(options.keys()) if not keys.issuperset(self._options_keys): ...
[ "def is_valid(option_set):\n area = get_area(option_set)\n duration = get_duration(option_set)\n timepoint = get_time(option_set)\n\n # unknown options\n if area > AREA_VICE_MODEL or duration > DURATION_SEASON or \\\n timepoint > TIME_FOURTH_SEASON:\n return False\n\n # v...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Convert AdBlock rule to a regular expression.
def rule_to_regex(cls, rule): if not rule: raise ValueError("Invalid rule") # return rule # escape special regex characters rule = re.sub(r"([.$+?{}()\[\]\\])", r"\\\1", rule) # XXX: the resulting regex must use non-capturing groups (?: # for performance...
[ "def parseRule(s):\n return Parser._convertRule(ruleNT.parseString(s))", "def arn_pattern_to_regex(arn_pattern): \n if not arn_pattern.startswith(\"arn:\"):\n raise ValueError(\"ARN pattern does not begin with 'arn:'.\")\n\n arn_segments = arn_pattern.split(':', 5)\n if len(arn_segments)...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return if ``url``/``options`` are matched by rules defined by ``general_re``, ``domain_required_rules`` and ``rules_with_options``. ``general_re`` is a compiled regex for rules without options.
def _matches(self, url, options, general_re, domain_required_rules, rules_with_options): if general_re and general_re.search(url): return True rules = [] if 'domain' in options and domain_required_rules: src_domain = options['domain'] for dom...
[ "def match_url(self, url, options=None):\n options = options or {}\n for optname in self.options:\n if optname == 'match-case': # TODO\n continue\n\n if optname not in options:\n raise ValueError(\"Rule requires option %s\" % optname)\n\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
>>> list(_domain_variants("foo.bar.example.com")) ['foo.bar.example.com', 'bar.example.com', 'example.com'] >>> list(_domain_variants("example.com")) ['example.com']
def _domain_variants(domain): parts = domain.split('.') for i in range(len(parts), 1, -1): yield ".".join(parts[-i:])
[ "def list_domain_names():\n pass", "def subdomains(self, domain: str) -> List[str]:\n subdomains: List[str] = []\n for entry in self.psql_query(\n \"\"\"\n select distinct(lower(name_value))\n FROM certificate_and_identities cai\n WHERE plainto_tsquery(...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return a compiled regex combined (using OR) from a list of ``regexes``. If there is nothing to combine, None is returned.
def _combined_regex(regexes, flags=re.IGNORECASE, use_re2=False, max_mem=None): joined_regexes = "|".join(r for r in regexes if r) if not joined_regexes: return None if use_re2: import re2 return re2.compile(joined_regexes, flags=flags, max_mem=max_mem) return re.compile(joined_...
[ "def regex_join(regexes):\n return \"|\".join(\"(?:%s)\" % r for r in regexes)", "def to_regex(*args:List[str], flags:int=0, compile:bool=True) -> Union[str, re.compile]:\n pattern = \"\".join(args)\n\n if compile:\n return re.compile(pattern, flags=flags)\n else:\n flagstring = re_f...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for ``_create_occurrence`` method.
def test_create_occurrence(self): occurrence = self.event._create_occurrence(now()) self.assertEqual(type(occurrence), Occurrence, msg=( 'Method ``_create_occurrence`` did not output the right type.'))
[ "def test_create_occurrence(self):\n pass", "def create_occurrence (self):\n return self.create_topic().create_occurrence(self.create_topic(),\n 'Occurrence')", "def test_create_activity_occurrence(self):\n pass", "def test_get_occurrenc...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for instantiation of the ``EventCategory`` model.
def test_instantiation(self): event_category = EventCategory() self.assertTrue(event_category)
[ "def test_create_category(self):\n pass", "def test_create_cat_object():\n from .scripts.initializedb import create_cat_object\n cat_object = create_cat_object(\"a\", \"b\", \"c\", \"c\")\n assert isinstance(cat_object, Category)", "def test_category_model_entry(self):\n data = self.data1...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for instantiation of the ``EventRelation`` model.
def test_instantiation(self): event_relation = mixer.blend('calendarium.EventRelation') self.assertTrue(event_relation)
[ "def test_create_event_model_missing_creator(self):\n with self.assertRaises(ValidationError):\n e = Event(title=self.TITLE)\n e.save()", "def test_instantiation(self):\n event_category = EventCategory()\n self.assertTrue(event_category)", "def test_relations(self):\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for instantiation of the ``Occurrence`` model.
def test_instantiation(self): occurrence = Occurrence() self.assertTrue(occurrence)
[ "def test_create_occurrence(self):\n occurrence = self.event._create_occurrence(now())\n self.assertEqual(type(occurrence), Occurrence, msg=(\n 'Method ``_create_occurrence`` did not output the right type.'))", "def test_create_occurrence(self):\n pass", "def test_get_occurrence(...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for the ``delete_period`` function.
def test_delete_period(self): occurrence = mixer.blend('calendarium.Occurrence') occurrence.delete_period('all') self.assertEqual(Occurrence.objects.all().count(), 0, msg=( 'Should delete only the first occurrence.')) event = mixer.blend( 'calendarium.Event', sta...
[ "def test_delete_period_list(self):\n\t\tself.period_list.delete()\n\t\tself.assertFalse(self.period_list.pk)", "def test_delete_grading_period_accounts(self):\r\n account_id = None # Change me!!\r\n id = None # Change me!!\r\n\r\n r = self.client.delete_grading_period_accounts(id, account_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Test for instantiation of the ``Rule`` model.
def test_instantiation(self): rule = Rule() self.assertTrue(rule)
[ "def test_create_rule(self):\n pass", "def test_invalid_rule_mode_raises_when_create_rule(self):\n with self.assertRaises(InvalidRulesSchemaError):\n scanner_rules.Rule('exception', 0, [])", "def test_rule(cls, rule, args, kwargs, expected, caplog):\n qalgebra.core.abstract_algebra.L...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Send the EVT_PAGE_CHANGE to the parent.
def notify(self): if self.GetParent() is not None: evt = PageChangeEvent(from_page=self.GetName(), to_page="page_annot_actions", fct="") evt.SetEventObject(self) wx.PostEvent(self.GetParent(), evt)
[ "def page_changed(self, page):\n pass", "def OnPage(self, event):\n try:\n newpage = int(self.page.GetValue())\n if 1 <= newpage <= self.numpages:\n if newpage != self.pageno:\n self.pageno = newpage\n self.ChangePage()\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get the current release of the application. By release, we mean the release from the version.json file à la Mozilla [1] (if any). If this file has not been found, it defaults to "NA". [1]
def get_release(): # Try to get the current release from the version.json file generated by the # CI during the Docker image build try: with open(os.path.join(BASE_DIR, "version.json"), encoding="utf8") as version: return json.load(version)["version"] except FileNotFoundError: ...
[ "def read_release_version():\n with open(\"RELEASE-VERSION\", \"r\") as f:\n return f.readline().strip()", "def current_release_version(ctx, param, value):\n version = None\n\n try:\n version = pkg_resources.resource_string(\n 'treadmill',\n 'VERSION.txt'\n )\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Kernels used for image processing
def __set_kernels(self): self.clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
[ "def __initializeKernels(self):\n # FFT plans:\n self.__initializeDopplerIfftPlan() # for Doppler Ifft\n self.__initializeDemodIfftPlan() # for demod \n self.__initializeSNRFftPlan() # for findSNR\n \n # GPU kernels\n kernel = self.CudaKernels\n ## kernels for...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Masks a region specified by clockwise vertices.
def __mask_region(self, img, vertices): mask = np.zeros_like(img) if len(img.shape) > 2: channel_count = img.shape[2] # i.e. 3 or 4 depending on your image ignore_mask_color = (255,) * channel_count else: ignore_mask_color = 255 cv2.fillConvexPoly...
[ "def set_region(img, vertices):\n mask = np.zeros_like(img)\n channel_count = img.shape[2]\n match_mask_color = (255,) * channel_count\n cv2.fillPoly(mask, vertices, match_mask_color)\n\n masked_img = cv2.bitwise_and(img, mask)\n\n new_mask = np.zeros(masked_img.shape[:2], np.uint8)\n\n bg = np...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Enhances/sharpens the image using a clahe kernel
def __enhance_image(self, img): blue = self.g.clahe.apply(img[:,:,0]) green = self.g.clahe.apply(img[:,:,1]) red = self.g.clahe.apply(img[:,:,2]) img[:,:,0] = blue img[:,:,1] = green img[:,:,2] = red return img
[ "def __set_kernels(self):\n self.clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))", "def applyUnsharp(image, kernel_size=(5, 5)):\n k=1.0\n sigma=1.0\n blurred = cv2.GaussianBlur(image, kernel_size, sigma) #Lowpass\n sharpened = float(k + 1) * image - float(k) * blurred #gmask\n sh...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Tests the pipeline on one image
def test_one_image(self, img): return self.__image_pipeline(img)
[ "def test_NIRCam_stage1(run_pipeline, fitsdiff_default_kwargs, output):\n rtdata = run_pipeline\n rtdata.output = output\n rtdata.get_truth(os.path.join(\"truth/nircam/test_detector1pipeline\", output))\n\n\n diff = FITSDiff(rtdata.output, rtdata.truth, **fitsdiff_default_kwargs)\n assert diff.identi...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Split fio reports and analysis after seperate lines is an list contains all fio reports
def split_report(self, lines): start_line = 0 end_line = 0 fio_reports = [] for index in range(len(lines)): if self._is_start(lines[index]): start_line = index end_line = 0 logging.debug("Found start line %s" % lines[index]) ...
[ "def every_second_line(report):\n f = report\n \n result = []\n for line in f:\n result.append(line.strip())\n f.readline()", "def data_process(self):\n logging.info('Processing the data and split files')\n lines = Utility.file_len(self.fname)\n self.lines_to_be, sel...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Return true if report end As we just want to analysis IOPS, Bandwidth and latency to avoid report recieved abnormally our line end at any postion has submit/complete/issued/latency
def _is_end(self, line): if re.match("\s+submit|complete|issued|latency\s+\:\s+.*", line): return True
[ "def has_end_reason(self):\n # Someday I will have real end reasons\n return False", "def report(self) -> bool:\n return int(self.packet[14:16], 16) == 3", "def is_report(self):\n return True if self.type == 'ANL' else False", "def is_call_ended(self) -> bool:", "def closed_door_...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get iops from result
def _get_iops(self, report): match = re.search("iops\=(\d+)", report) if match: return int(match.group(1))
[ "def iops(self) -> int:\n return pulumi.get(self, \"iops\")", "def _op_t(self):\n return self.instr._insn.ops[self.opnum]", "def get_opcodes():\n return OPCODES", "def getResultAll(i=None):", "def oper_result(self):\n return self._oper_result", "def as_opcodes(self):\n raise...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get clat average from result
def _get_clat_avg(self, report): match = re.search(".*clat\s*\((\w+)\).*avg\=\s*(\d+\.{0,1}\d*)", report) if match: unit = match.group(1) value = float(match.group(2)) if unit.lower() == "usec": value = value / 1000 return v...
[ "def _get_average(self):\r\n if self.at_bats == 0:\r\n return 0.0\r\n\r\n return old_div(float(self.singles + self.doubles +\r\n self.triples + self.home_runs), self.at_bats)", "def calcAvg(self):\n\n avg = (self.project + self.midterm + self.final) / 3\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Get lat average from result
def _get_lat_avg(self, report): match = re.search("\s*lat\s*\((\w+)\).*avg\=\s*(\d+\.{0,1}\d*)", report) if match: unit = match.group(1) value = float(match.group(2)) if unit.lower() == "usec": value = value / 1000 return va...
[ "def average_lon(lon):\n sum = 0.0\n count = 0\n for num in lon:\n sum += num\n count += 1\n return sum / count", "def gavg(idata):\n\t\n\twgt1=np.cos(np.deg2rad(idata.lat))*(idata*0+1)\n\tga=(wgt1*idata).sum(dim=['lat','lon'])/wgt1.sum(dim=['lat','lon'])\n\n\treturn ga", "def getLatAv...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Simple error reporting wrapper will allow us to plug in different error reporting backend(s) in the future
def init_error_reporting(): global error_reporter SENTRY_DSN = 'https://e3b3b7139bc64177b9694b836c1c5bd6:fbd8d4def9db41d0abe885a35f034118@sentry.io/230474' error_reporter = Client(SENTRY_DSN)
[ "def displayError(*args, **kwargs):\n \n pass", "def run(self):\n self.simple_error()\n self.relative_error()", "def error_test():\n checkresult(lib.ErrorTest())", "def error_report(exc_info, program=None, output=\"\", email=None, files=[], listdirs=[], savedir=\"/tmp\", title=\"AUT...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Find the fastest growing tweet. A tweet is the faster growing tweet if its "retweets/time" is bigger than the other's. >Tweet1 is 32.5 hours old and has 64 retweets. >Tweet2 is 3.12 hours old and has 30 retweets. >64/32.5 is smaller than 30/3.12 > tweet2 is the faster growing tweet.
def find_fastest_growing(tweets: list) -> Tweet: fastest_growing = {} for tweet in tweets: fastest_growing[tweet.retweets / tweet.time] = tweet return fastest_growing[max(fastest_growing)]
[ "def more_popular(twitter_data, a, b):\n \n a_popularity = len(all_followers(twitter_data, a)) \n b_popularity = len(all_followers(twitter_data, b))\n if a_popularity > b_popularity:\n return -1\n if a_popularity < b_popularity:\n return 1\n return username_first(twitter_data, a, b)"...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Sort tweets by popularity. Tweets must be sorted in descending order. A tweet is more popular than the other if it has more retweets. If the retweets are even, the newer tweet is the more popular one. >Tweet1 has 10 retweets. >Tweet2 has 30 retweets. >30 is bigger than 10 > tweet2 is the more popular one.
def sort_by_popularity(tweets: list) -> list: tweets_by_popularity = sorted(tweets, key=lambda x: (x.retweets, -x.time), reverse=True) # Use lambda functions when an anonymous function is required for a short period of time. return tweets_by_popularity
[ "def sort_hashtags_by_popularity(tweets: list) -> list:\n hashtags_by_popularity = {}\n pattern = r\"#\\w+\"\n for tweet in tweets:\n find_hashtag = re.findall(pattern, tweet.content)\n if not find_hashtag:\n continue\n else:\n for ht in find_hashtag:\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Filter tweets by hashtag. Return a list of all tweets that contain given hashtag.
def filter_by_hashtag(tweets: list, hashtag: str) -> list: tweets_with_hashtag = {} # findall(): Kui tekstis on rohkem kui üks regulaaravaldisele vastav alamsõne saab kõikide vastete järjendi moodustada funktsiooniga findall() pattern = r"#\w+" # \w : tähed, numbrid, alakriips, + : 1 või rohkem for tweet ...
[ "def get_hashtags(tweet):\r\n hashtags_liste = []\r\n hashtags = tweet.entities.get(\"hashtags\")\r\n for hashtag in hashtags :\r\n if hashtag['text'] in hashtags_liste:\r\n pass\r\n else:\r\n hashtags_liste.append(hashtag[\"text\"])\r\n return hashtags_liste", "def...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Sort hashtags by popularity. Hashtags must be sorted in descending order. A hashtag's popularity is the sum of its tweets' retweets. If two hashtags are equally popular, sort by alphabet from AZ to az (upper case before lower case). >Tweet1 has 21 retweets and has common hashtag. >Tweet2 has 19 retweets and has common ...
def sort_hashtags_by_popularity(tweets: list) -> list: hashtags_by_popularity = {} pattern = r"#\w+" for tweet in tweets: find_hashtag = re.findall(pattern, tweet.content) if not find_hashtag: continue else: for ht in find_hashtag: hashtags_by_...
[ "def sort_by_popularity(tweets: list) -> list:\n tweets_by_popularity = sorted(tweets, key=lambda x: (x.retweets, -x.time), reverse=True) # Use lambda functions when an anonymous function is required for a short period of time.\n return tweets_by_popularity", "def hashtagCount(words):\n\n hashtags = wor...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Imports grammar from path. Must work with relative and full paths.
def import_grammar(path): grammar_name = os.path.basename(path).replace(".py", "") grammar_file = f'restler_grammar_{grammar_name}_{os.getpid()}.py' # import req_collection from given grammar sys.path.append(os.path.dirname(path)) grammar = importlib.import_module(grammar_name) req_collection =...
[ "def load_grammar(path):\n return SCFG(iterrules(smart_ropen(path)))", "def parse_file(self, path):\r\n return self._parse(antlr3.ANTLRFileStream(path))", "def Load(json_text, start_symbol, ignore='_reserved'):\n g = Grammar(json_text, start_symbol, ignore=ignore)\n g.canonicalize()\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Initializes all of the checkers, sets the appropriate checkers as enabled/disabled, and returns a list of checker objects
def get_checker_list(req_collection, fuzzing_requests, enable_list, disable_list, set_enable_first, custom_checkers, enable_default_checkers=True): # Add any custom checkers for custom_checker_file_path in custom_checkers: try: spec = importlib.util.spec_from_file_location('custom_checkers',...
[ "def create_checkers(config):\n\n checkers = []\n if 'checkers' in config:\n for checker_name, checker_config in config['checkers'].iteritems():\n if checker_name in __checkers:\n configs = None\n if type(checker_config) == list:\n configs = c...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Returns content of the /etc/pki/tls/openssl.cnf file
def openssl_config(): config = open("/etc/pki/tls/openssl.cnf", "r") contents = config.read().strip() config.close() return contents
[ "def _parse_opensslconf(self):\n# print \"parse_opensslconf\"\n _log.debug(\"__init__::parse_opensslconf\")\n if not self.config.read(self.configfile):\n# print \"could not parse config file\"\n # Empty openssl.conf file or could not successfully parse the file.\n ...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Gets section from OpenSSL config file
def openssl_config_get_section(section): result = {} parses = False for line in openssl_config_strip(openssl_config()).split("\n"): if line.lstrip().startswith("[") and line.rstrip().endswith("]") and line[1:-1].strip() == section: parses = True continue if parses: ...
[ "def openssl_config():\n config = open(\"/etc/pki/tls/openssl.cnf\", \"r\")\n contents = config.read().strip()\n config.close()\n return contents", "def get(section, key, inifile=\"settings.ini\"):\n config = ConfigParser.RawConfigParser()\n config.readfp(open(inifile))\n value = config.get(s...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Map a 16bit image trough a lookup table to convert it to 8bit. ​
def map_uint16_to_uint8(files_hmds, lower_bound=0, upper_bound=40000): # Check for errors if not(0 <= lower_bound < 2**16) and lower_bound is not None: raise ValueError('"lower_bound" must be in the range [0, 65535]') elif not(0 <= upper_bound < 2**16) and upper_bound is not None: raise Valu...
[ "def mapping(bits):\r\n return np.array([mappingTable[tuple(b)] for b in bits])", "def image_16bit_to_8bit(img_16bit, autoscale=False):\n img_32 = np.array(img_16bit, dtype=np.uint32)\n\n if autoscale:\n min_intensity = np.min(img_32)\n img_32 -= min_intensity\n max_intensity = np.ma...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Add audio into video
def add_audio_to_video(audio_path: Union[str, Path], video_path: Union[str, Path], out_video_path: [str, Path]) -> Path: command = 'ffmpeg -loglevel warning -y -i "{}" -i "{}" -c:v copy -c:a copy -shortest {}'.format( video_path.as_posix(), audio_path.as...
[ "def add_audio(self, event):\n # The idea here is to use RVs stack to create two \"tracks\". The first input will be a\n # sequence of all the current sources, and the second the selected audio file.\n selected_files = commands.openMediaFileDialog(False, commands.OneExistingFile, \"\", \"\", \"...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Copy another video's audio into current video
def copy_audio_from_another_video(no_audio_video_path: Union[str, Path], with_audio_video_path: [str, Path], out_video_path: [str, Path]) -> Path: no_audio_video_path = Path(no_audio_video_path) with_audio_video_path = Path(with_audio_video_pat...
[ "def transfer_audio(source_video: Any, target_video: Any) -> None:\n # First, validate that FFMPEG is installed, otherwise this method\n # will not be able to perform any actions and will instead result\n # in a cryptic error message (that is not really useful).\n if not is_ffmpeg_installed():\n print(...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Effettua il calcolo usando metodo postfix.
def postfix(t_input): # guardo se gli elementi contengono caratteri non validi if is_valid(t_input) == 1: # restituisco Invalid se sono stati trovati caratteri invalidi result = "Invalid" return result # scorri di nuovo gli elementi # NOTA: sarebbe piu' efficiente fare u...
[ "def prependPostfix(self,pre) :\n self._postfix = pre + self._postfix", "def postfix(self):\n return self.__render_values(self.__prefix)", "def infix_to_postfix(self, exp):\n\n try:\n for i in exp:\n #if the character is an operand output it\n if sel...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }
Rotate an array k90 degrees in the counterclockwise direction around the given axis
def rot90(m, k=1, axis=2): m = np.swapaxes(m, 2, axis) m = np.rot90(m, k) m = np.swapaxes(m, 2, axis) return m
[ "def rot90(a, k=1, axes=(0, 1)):\n a_ndim = a.ndim\n if a_ndim < 2:\n raise ValueError('Input must be >= 2-d')\n\n axes = tuple(axes)\n if len(axes) != 2:\n raise ValueError('len(axes) must be 2')\n if axes[0] == axes[1] or abs(axes[0] - axes[1]) == a_ndim:\n raise ValueError('ax...
{ "objective": { "paired": [], "self": [], "triplet": [ [ "query", "document", "negatives" ] ] } }