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How to use _parse_output method in autotest

Best Python code snippet using autotest_python

hardware.py

Source:hardware.py

...54        try:55            cmd = ['cat', '/proc/cpuinfo']56            process = subprocess.Popen(cmd, stdout=subprocess.PIPE)57            self._raw_output, _stderr = process.communicate()58            self._parse_output()59            self._load_data()60        except Exception as e:61            logger.error("Error reading cpu info.")62            logger.exception(e)63            self._cpus = {}  # Something went wrong, set to empty dict.64    def _load_data(self):65        self._physical_ids = {}66        self._cpus = {}67        for logical_cpu in self._logical_cpu_list:68            _id = logical_cpu["physical_id"]69            name = logical_cpu["name"]70            self._physical_ids[_id] = name71        self._number_of_cpus = len(self._physical_ids)72        for i in range(self._number_of_cpus):73            for logical_cpu in self._logical_cpu_list:74                p_id = logical_cpu["physical_id"]75                if p_id in self._cpus:76                    continue77                logical_dict = self._create_physical_dict(78                    str(i),79                    logical_cpu["name"],80                    logical_cpu["cores"],81                    logical_cpu["speed_mhz"],82                    logical_cpu["cache_kb"],83                    logical_cpu["bit_type"]84                )85                self._cpus[p_id] = logical_dict.copy()86    def _parse_output(self):87        self._cat_output = []88        for s in self._raw_output.splitlines():89            self._cat_output.append(s.replace("\t", ''))90        self._logical_cpu_list = []91        # Setting the physical id to zero in the event that there is92        # only one physical CPU. /proc/cpuinfo doesn't display 'physical id'93        # and 'core id' if there is only one.94        self._cpu_dict = {}95        self._cpu_dict["physical_id"] = '0'96        self._cpu_dict["cores"] = '0'97        for entry in self._cat_output:98            if entry.find('processor: ') == 0:99                logical_id = entry.partition(":")[2].strip()100                self._cpu_dict["processor"] = logical_id101                continue102            elif entry.find('physical id:') == 0:103                physical_id = entry.partition(":")[2].strip()104                self._cpu_dict["physical_id"] = physical_id105                continue106            elif entry.find('core id:') == 0:107                core_id = entry.partition(":")[2].strip()108                self._cpu_dict["core_id"] = core_id109                continue110            elif entry.find('cpu cores:') == 0:111                cores = entry.partition(":")[2].strip()112                self._cpu_dict["cores"] = cores113                continue114            elif entry.find('model name:') == 0:115                model_name = entry.partition(":")[2].strip()116                self._cpu_dict["name"] = model_name117                continue118            elif entry.find('cpu MHz:') == 0:119                speed = entry.partition(":")[2].strip()120                self._cpu_dict["speed_mhz"] = speed121                continue122            elif entry.find('cache size:') == 0:123                size = entry.partition(":")[2].strip()124                size_kb = settings.EmptyValue125                if "KB".lower() in size.lower():126                    # Some logic here!!127                    size_kb = size.lower().replace("KB".lower(), "").strip()128                self._cpu_dict["cache_kb"] = size_kb129                continue130            # 'flags' show a lot of options on one line separated by a space.131            elif entry.find('flags:') == 0:132                # lm is the flag set by linux to indicate 64bit133                # X86_FEATURE_LM (long mode)134                if " lm " in entry:135                    self._cpu_dict["bit_type"] = '64'136                else:137                    self._cpu_dict["bit_type"] = '32'138                continue139            # Empty line means the beginning of a new processor item. Save.140            elif entry == "":141                self._logical_cpu_list.append(self._cpu_dict.copy())142        # just some clean up.143        self._cpu_dict = None144    def _create_physical_dict(self, _id, name='', cores='', speed_mhz='',145                              cache_kb='', bit_type=''):146        logical_dict = {147            "cpu_id": _id,148            "name": name,149            "cores": cores,150            "speed_mhz": speed_mhz,151            "cache_kb": cache_kb,152            "bit_type": bit_type153        }154        return logical_dict155    def get_cpu_list(self):156        cpu_list = []157        for cpu in self._cpus:158            cpu_list.append(self._cpus[cpu])159        return cpu_list160class DisplayInfo():161    """Retrieve information about a computers display."""162    def _get_pci_device_info(self):163        """Retrieves all PCI device info from the lscpi command.164        Returns:165           str: Raw output from the 'lspci -v' command through subprocess.166        """167        cmd = ['lspci', '-v']168        process = subprocess.Popen(cmd, stdout=subprocess.PIPE)169        raw_output, _ = process.communicate()170        return raw_output171    def _parse_output(self, raw_output):172        """Parses output for 'VGA compatible controller' entry.173        Args:174            raw_output (str): Output in the format of what you get from175                'lspci -v'.176        Returns:177            Dictionary with 3 keys:178                name (str)179                speed_mhz (int)180                ram_kb (int)181            Example:182                {183                    'name': 'Parallels, Inc. Accelerated Virtual Video Adapter (prog-if 00 [VGA controller])',184                    'speed_mhz': 66,185                    'ram_kb': 32768186                }187        """188        tmp_list = []189        for s in raw_output.splitlines():190            tmp_list.append(s.replace("\t", ''))191        output = tmp_list192        display_dict = None193        display_list = []194        reading_vga = False195        for entry in output:196            if 'VGA compatible controller:' in entry:197                name = entry.partition('VGA compatible controller:')[2].strip()198                display_dict = {'name': name}199                reading_vga = True200                continue201            elif 'Flags:' in entry and reading_vga:202                flags = entry.partition(':')[2].strip()203                match = re.match(r'[0-9]+MHz', flags)204                speed_mhz = 0205                if match:206                    speed_mhz = int(match.group().split('MHz')[0])207                # TODO: string or int?208                display_dict['speed_mhz'] = speed_mhz209                continue210            elif 'Memory at' in entry and \211                 'prefetchable' in entry and \212                 reading_vga:213                size_string = entry.split("[size=")[1].replace(']', '')214                size_kb = 0215                # KB216                if 'K' in size_string:217                    size_kb = int(size_string.replace('K', ''))218                # MB219                elif 'M' in size_string:220                    size = int(size_string.replace('M', ''))221                    size_kb = size * 1024222                # GB223                elif 'G' in size_string:224                    size = int(size_string.replace('G', ''))225                    size_kb = (size * 1024) * 1024226                display_dict['ram_kb'] = \227                    display_dict.get('ram_kb', 0) + size_kb228                continue229            # Empty line means the beginning of a new processor item. Save.230            elif entry == "" and reading_vga:231                display_list.append(display_dict.copy())232                reading_vga = False233        return display_list234    def get_display_list(self):235        """Retrieves data corresponding to the computers display.236        Returns:237            Dictionary with 3 keys:238                name (str)239                speed_mhz (int)240                ram_kb (int)241            Example:242                {243                    'name': 'Parallels, Inc. Accelerated Virtual Video Adapter (prog-if 00 [VGA controller])',244                    'speed_mhz': 66,245                    'ram_kb': 32768246                }247            """248        raw_output = self._get_pci_device_info()249        try:250            display_list = self._parse_output(raw_output)251        except Exception:252            display_list = []253        return display_list254class HarddriveInfo():255    def __init__(self):256        self._hdd_list = []257        try:258            # df options:259            # 'h': print sizes in human readable format ('k' = KB)260            # 'l': local file systems. 'T': file system type (ext3/ext4/db)261            cmd = ['df', '-hklT']262            process = subprocess.Popen(cmd, stdout=subprocess.PIPE)263            self._raw_output, _stderr = process.communicate()264            self._parse_output()265        except Exception as e:266            logger.error("Error reading hard drive info.", 'error')267            logger.exception(e)268            self._hdd_list = []  # Something went wrong, set to empty list.269    def _parse_output(self):270        self._output = []271        for line in self._raw_output.splitlines():272            self._output.append([x for x in line.split(' ') if x != ''])273        _partition_blacklist = [274            'tmpfs',275            'rootfs',276            'none',277            'devtmpfs',278            'Filesystem'279        ]280        tmp_dict = {}281        for entry in self._output:282            if entry[0] in _partition_blacklist:283                continue284            # An ideal entry would consist of 7 items. It would look like:285            # ['/dev/sda1', 'ext4', '495844', '38218', '432026', '9%', '/boot']286            if len(entry) == 7:287                tmp_dict['name'] = entry[0]288                tmp_dict['size_kb'] = int(entry[3]) + int(entry[4])289                tmp_dict['free_size_kb'] = entry[4]290                tmp_dict['file_system'] = entry[1]291            else:292                # But less then 7 items means the name of the partition and its293                # data were split across two entries:294                # ['/dev/mapper/vg_centosmon-lv_root'],295                # ['ext4', '12004544', '3085772', '8796828', '26%', '/']296                # Taking that into consideration here.297                if len(entry) == 1:298                    tmp_dict['name'] = entry[0]299                    continue300                elif len(entry) == 6:301                    tmp_dict['size_kb'] = int(entry[2]) + int(entry[3])302                    tmp_dict['free_size_kb'] = entry[3]303                    tmp_dict['file_system'] = entry[0]304            self._hdd_list.append(tmp_dict.copy())305    def get_hdd_list(self):306        # return non-empty dictionaries307        return [info_dict for info_dict in self._hdd_list if info_dict]308class NicInfo():309    def __init__(self):310        self._nics = []311        try:312            cmd = ['ip', 'addr']313            process = subprocess.Popen(cmd, stdout=subprocess.PIPE)314            self._raw_output, _stderr = process.communicate()315            self._parse_output()316        except Exception as e:317            logger.error("Error reading nic info.", 'error')318            logger.exception(e)319            self._nics = []  # Something went wrong, set to empty dict.320    def _parse_output(self):321        self._output = [line.strip() for line in self._raw_output.splitlines()]322        #### Inserting a '\n' between interfaces. Easier to parse...323        indices = []324        for i in range(len(self._output)):325            match = re.match(r'[0-9]+:', self._output[i])326            if match:327                if i > 1:328                    indices.append(i)329        for i in indices:330            self._output.insert(i, '')331        self._output.insert(len(self._output), '')332        #######################################################333        reading_flag = False334        temp_dict = {}...

nash.py

Source:nash.py

...52            capture_output=True53        )54        p.check_returncode()55        return p.stdout56    def _parse_output(self, output: str, game, rational, extensive=False):57        profiles = []58        for line in output.splitlines():59            entries = line.strip().split(",")60            if entries[0] != "NE":61                continue62            if extensive:63                profile = game.mixed_behavior_profile(rational=rational)64            else:65                profile = game.mixed_strategy_profile(rational=rational)66            for (i, p) in enumerate(entries[1:]):67                if rational:68                    profile[i] = Fraction(p)69                else:70                    profile[i] = float(p)71            profiles.append(NashSolution(profile))72        return profiles73class ExternalEnumPureSolver(ExternalSolver):74    """75    Algorithm class to manage calls to external gambit-enumpure solver76    for computing pure-strategy equilibria.77    """78    def solve(self, game, use_strategic=False):79        if not game.is_perfect_recall:80            raise RuntimeError(81                "Computing equilibria of games with imperfect recall "82                "is not supported."83            )84        command_line = "gambit-enumpure"85        if use_strategic and game.is_tree:86            command_line += " -S"87        return self._parse_output(self._call(command_line, game),88                                  game, rational=True,89                                  extensive=game.is_tree and not use_strategic)90class ExternalLPSolver(ExternalSolver):91    """92    Algorithm class to manage calls to external gambit-lp solver93    for computing equilibria in two-player games using linear programming.94    """95    def solve(self, game, rational=False, use_strategic=False):96        if len(game.players) != 2:97            raise RuntimeError("Method only valid for two-player games.")98        if not game.is_const_sum:99            raise RuntimeError("Method only valid for constant-sum games.")100        if not game.is_perfect_recall:101            raise RuntimeError(102                "Computing equilibria of games with imperfect recall "103                "is not supported."104            )105        if rational:106            command_line = "gambit-lp"107        else:108            command_line = "gambit-lp -d 10"109        if use_strategic and game.is_tree:110            command_line += " -S"111        return self._parse_output(self._call(command_line, game),112                                  game, rational,113                                  extensive=game.is_tree and not use_strategic)114class ExternalLCPSolver(ExternalSolver):115    """116    Algorithm class to manage calls to external gambit-lcp solver117    for computing equilibria in two-player games using linear complementarity118    programming.119    """120    def solve(self, game, rational=False, use_strategic=False):121        if len(game.players) != 2:122            raise RuntimeError("Method only valid for two-player games.")123        if not game.is_perfect_recall:124            raise RuntimeError(125                "Computing equilibria of games with imperfect recall "126                "is not supported."127            )128        if rational:129            command_line = "gambit-lcp"130        else:131            command_line = "gambit-lcp -d 10"132        if use_strategic and game.is_tree:133            command_line += " -S"134        return self._parse_output(self._call(command_line, game),135                                  game, rational,136                                  extensive=game.is_tree and not use_strategic)137class ExternalEnumMixedSolver(ExternalSolver):138    """139    Algorithm class to manage calls to external gambit-enummixed solver140    for computing equilibria in two-player games using enumeration of141    extreme points.142    """143    def solve(self, game, rational=False):144        if not game.is_perfect_recall:145            raise RuntimeError(146                "Computing equilibria of games with imperfect recall "147                "is not supported."148            )149        if rational:150            command_line = "gambit-enummixed"151        else:152            command_line = "gambit-enummixed -d 10"153        return self._parse_output(self._call(command_line, game),154                                  game, rational)155class ExternalSimpdivSolver(ExternalSolver):156    """157    Algorithm class to manage calls to external gambit-simpdiv solver158    for computing equilibria in N-player games using simpicial subdivision.159    """160    def solve(self, game):161        if not game.is_perfect_recall:162            raise RuntimeError(163                "Computing equilibria of games with imperfect recall "164                "is not supported."165            )166        command_line = "gambit-simpdiv"167        return self._parse_output(self._call(command_line, game),168                                  game, rational=True)169class ExternalGlobalNewtonSolver(ExternalSolver):170    """171    Algorithm class to manage calls to external gambit-gnm solver172    for computing equilibria in N-player games using the global Newton method.173    """174    def solve(self, game):175        if not game.is_perfect_recall:176            raise RuntimeError(177                "Computing equilibria of games with imperfect recall "178                "is not supported."179            )180        command_line = "gambit-gnm -d 10"181        return self._parse_output(self._call(command_line, game),182                                  game, rational=False)183class ExternalEnumPolySolver(ExternalSolver):184    """185    Algorithm class to manage calls to external gambit-enumpoly solver186    for computing equilibria in N-player games systems of polynomial equations.187    """188    def solve(self, game, use_strategic=False):189        if not game.is_perfect_recall:190            raise RuntimeError(191                "Computing equilibria of games with imperfect recall "192                "is not supported."193            )194        command_line = "gambit-enumpoly -d 10"195        if use_strategic and game.is_tree:196            command_line += " -S"197        return self._parse_output(self._call(command_line, game),198                                  game, rational=False,199                                  extensive=game.is_tree and not use_strategic)200class ExternalLyapunovSolver(ExternalSolver):201    """202    Algorithm class to manage calls to external gambit-liap solver203    for computing equilibria in N-player games using Lyapunov function204    minimization.205    """206    def solve(self, game, use_strategic=False):207        if not game.is_perfect_recall:208            raise RuntimeError(209                "Computing equilibria of games with imperfect recall "210                "is not supported."211            )212        command_line = "gambit-liap -d 10"213        if use_strategic and game.is_tree:214            command_line += " -S"215        return self._parse_output(self._call(command_line, game),216                                  game, rational=False,217                                  extensive=game.is_tree and not use_strategic)218class ExternalIteratedPolymatrixSolver(ExternalSolver):219    """220    Algorithm class to manage calls to external gambit-ipa solver221    for computing equilibria in N-player games using iterated222    polymatrix approximation.223    """224    def solve(self, game):225        if not game.is_perfect_recall:226            raise RuntimeError(227                "Computing equilibria of games with imperfect recall "228                "is not supported."229            )230        command_line = "gambit-ipa -d 10"231        return self._parse_output(self._call(command_line, game),232                                  game, rational=False)233class ExternalLogitSolver(ExternalSolver):234    """235    Algorithm class to manage calls to external gambit-logit solver236    for computing equilibria in N-player games using quantal response237    equilibrium.238    """239    def solve(self, game, use_strategic=False):240        if not game.is_perfect_recall:241            raise RuntimeError(242                "Computing equilibria of games with imperfect recall "243                "is not supported."244            )245        command_line = "gambit-logit -d 20 -e"246        if use_strategic and game.is_tree:247            command_line += " -S"248        return self._parse_output(self._call(command_line, game),249                                  game, rational=False,250                                  extensive=game.is_tree and not use_strategic)251def enumpure_solve(game, use_strategic=True, external=False):252    """Convenience function to solve game to find pure-strategy Nash equilibria.253    """254    if external:255        return ExternalEnumPureSolver().solve(game, use_strategic=True)256    if not game.is_tree or use_strategic:257        alg = pygambit.lib.libgambit.EnumPureStrategySolver()258    else:259        alg = pygambit.lib.libgambit.EnumPureAgentSolver()260    return alg.solve(game)261def enummixed_solve(game, rational=True, external=False, use_lrs=False):262    """Convenience function to solve two-player game to find all...

magic.py

Source:magic.py

...37        if hasattr(self, 'cookie') and libmagic:38            self.close()39magic_none = Magic(mime=False)40magic_mime = Magic(mime=True)41def _parse_output(output):42    if output is None:43        return None44    return output.split(';')[0]45def check_magic_file(mime, magic_file=None):46    if mime:47        return _parse_output(magic_mime.from_file(magic_file))48    else:49        return magic_none.from_file(magic_file)50def check_magic_buffer(mime, buf=None):51    if mime:52        return _parse_output(magic_mime.from_buffer(buf))53    else:...

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