Datasets:

PatrickHaller

/

the-stack-python-100k

like 0

1d311312627a88c1949f4689d306a5a8078da740

py

Python

pcdsdevices/interface.py

slacAdpai/pcdsdevices

7d79821f8b5652a7fd457b9a73d22ef37b2043d3

pcdsdevices/interface.py

slacAdpai/pcdsdevices

7d79821f8b5652a7fd457b9a73d22ef37b2043d3

pcdsdevices/interface.py

slacAdpai/pcdsdevices

7d79821f8b5652a7fd457b9a73d22ef37b2043d3

""" Module for defining bell-and-whistles movement features. """ import functools import logging import numbers import re import signal import time from contextlib import contextmanager from pathlib import Path from threading import Event, Thread from types import MethodType, SimpleNamespace from weakref import WeakSet import yaml from bluesky.utils import ProgressBar from ophyd.device import Kind from ophyd.ophydobj import OphydObject from ophyd.status import wait as status_wait from . import utils as util try: import fcntl except ImportError: fcntl = None logger = logging.getLogger(__name__) engineering_mode = True OphydObject_whitelist = ["name", "connected", "check_value", "log"] BlueskyInterface_whitelist = ["trigger", "read", "describe", "stage", "unstage"] Device_whitelist = ["read_attrs", "configuration_attrs", "summary", "wait_for_connection", "stop", "get", "configure"] Signal_whitelist = ["value", "put"] Positioner_whitelist = ["settle_time", "timeout", "egu", "limits", "move", "position", "moving"] class BaseInterface(OphydObject): """ Interface layer to attach to any Device for SLAC features. This class defines an API and some defaults for filtering tab-completion results for new users to avoid confusion. The API involves setting the tab_whitelist attribute on any subclass of BaseInterface. When in non-engineering mode, only elements on the whitelists will be displayed to the user. Attributes ---------- tab_whitelist : list List of string regex to show in autocomplete for non-engineering mode. """ tab_whitelist = (OphydObject_whitelist + BlueskyInterface_whitelist + Device_whitelist + Signal_whitelist + Positioner_whitelist) _filtered_dir_cache = None def __init_subclass__(cls, **kwargs): super().__init_subclass__(**kwargs) string_whitelist = [] for parent in cls.mro(): if hasattr(parent, "tab_whitelist"): string_whitelist.extend(parent.tab_whitelist) if getattr(parent, "tab_component_names", False): for cpt_name in parent.component_names: if getattr(parent, cpt_name).kind != Kind.omitted: string_whitelist.append(cpt_name) cls._tab_regex = re.compile("|".join(string_whitelist)) def __dir__(self): if get_engineering_mode(): return super().__dir__() elif self._filtered_dir_cache is None: self._init_filtered_dir_cache() return self._filtered_dir_cache def _init_filtered_dir_cache(self): self._filtered_dir_cache = self._get_filtered_tab_dir() def _get_filtered_tab_dir(self): return [elem for elem in super().__dir__() if self._tab_regex.fullmatch(elem)] def __repr__(self): """Simplify the ophydobject repr to avoid crazy long represenations.""" prefix = getattr(self, 'prefix', None) name = getattr(self, 'name', None) return f"{self.__class__.__name__}({prefix}, name={name})" def set_engineering_mode(expert): """ Switches between expert and user modes for :class:`BaseInterface` features. Current features: - Autocomplete filtering Parameters ---------- expert : bool Set to `True` to enable expert mode, or :keyword:`False` to disable it. `True` is the starting value. """ global engineering_mode engineering_mode = bool(expert) def get_engineering_mode(): """ Get the last value set by :meth:`set_engineering_mode`. Returns ------- expert : bool The current engineering mode. See :meth:`set_engineering_mode`. """ return engineering_mode class MvInterface(BaseInterface): """ Interface layer to attach to a positioner for motion shortcuts. Defines common shortcuts that the beamline scientists like for moving things on the command line. There is no need for these in a scripting environnment, but this is a safe space for implementing move features that would otherwise be disruptive to running scans and writing higher-level applications. """ tab_whitelist = ["mv", "wm", "camonitor", "wm_update"] def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._mov_ev = Event() def mv(self, position, timeout=None, wait=False): """ Absolute move to a position. Parameters ---------- position Desired end position. timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. wait : bool, optional If `True`, wait for motion completion before returning. Defaults to :keyword:`False`. """ self.move(position, timeout=timeout, wait=wait) def wm(self): """Get the mover's current positon (where motor).""" return self.position def __call__(self, position=None, timeout=None, wait=False): """ Dispatches to :meth:`mv` or :meth:`wm` based on the arguments. Calling the object will either move the object or get the current position, depending on if the position argument is given. See the docstrings for :meth:`mv` and :meth:`wm`. """ if position is None: return self.wm() else: self.mv(position, timeout=timeout, wait=wait) def camonitor(self): """ Shows a live-updating motor position in the terminal. This will be the value that is returned by the :attr:`position` attribute. This method ends cleanly at a ctrl+c or after a call to :meth:`end_monitor_thread`, which may be useful when this is called in a background thread. """ try: self._mov_ev.clear() while not self._mov_ev.is_set(): print("\r {0:4f}".format(self.position), end=" ") self._mov_ev.wait(0.1) except KeyboardInterrupt: pass finally: self._mov_ev.clear() # Legacy alias def wm_update(self): return self.camonitor() wm_update.__doc__ = camonitor.__doc__ def end_monitor_thread(self): """ Stop a :meth:`camonitor` or :meth:`wm_update` that is running in another thread. """ self._mov_ev.set() class FltMvInterface(MvInterface): """ Extension of :class:`MvInterface` for when the position is a float. This lets us do more with the interface, such as relative moves. Attributes ---------- presets : :class:`Presets` Manager for preset positions. """ tab_whitelist = ["mvr", "umv", "umvr", "mv_ginput", "tweak", "presets", "mv_.*", "wm_.*", "umv_.*"] @property def presets(self): if not hasattr(self, "_presets"): self._presets = Presets(self) return self._presets def mvr(self, delta, timeout=None, wait=False): """ Relative move from this position. Parameters ---------- delta : float Desired change in position. timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. wait : bool, optional If `True`, wait for motion completion before returning. Defaults to :keyword:`False`. """ self.mv(delta + self.wm(), timeout=timeout, wait=wait) def umv(self, position, timeout=None): """ Move to a position, wait, and update with a progress bar. Parameters ---------- position : float Desired end position. timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. """ status = self.move(position, timeout=timeout, wait=False) AbsProgressBar([status]) try: status_wait(status) except KeyboardInterrupt: self.stop() def umvr(self, delta, timeout=None): """ Relative move from this position, wait, and update with a progress bar. Parameters ---------- delta : float Desired change in position. timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. """ self.umv(delta + self.wm(), timeout=timeout) def mv_ginput(self, timeout=None): """ Moves to a location the user clicks on. If there are existing plots, this will be the position on the most recently active plot. If there are no existing plots, an empty plot will be created with the motor's limits as the range. """ # Importing forces backend selection, so do inside method import matplotlib.pyplot as plt # NOQA logger.info(("Select new motor x-position in current plot " "by mouseclick")) if not plt.get_fignums(): upper_limit = 0 lower_limit = self.limits[0] if self.limits[0] == self.limits[1]: upper_limit = self.limits[0]+100 else: upper_limit = self.limits[1] limit_plot = [] for x in range(lower_limit, upper_limit): limit_plot.append(x) plt.plot(limit_plot) pos = plt.ginput(1)[0][0] self.move(pos, timeout=timeout) def tweak(self): """ Control this motor using the arrow keys. Use left arrow to step negative and right arrow to step positive. Use up arrow to increase step size and down arrow to decrease step size. Press q or ctrl+c to quit. """ return tweak_base(self) def setup_preset_paths(**paths): """ Prepare the :class:`Presets` class. Sets the paths for saving and loading presets. Parameters ---------- **paths : str keyword args A mapping from type of preset to destination path. These will be directories that contain the yaml files that define the preset positions. """ Presets._paths = {} for k, v in paths.items(): Presets._paths[k] = Path(v) for preset in Presets._registry: preset.sync() class Presets: """ Manager for device preset positions. This provides methods for adding new presets, checking which presets are active, and related utilities. It will install the :meth:`mv_presetname` and :meth:`wm_presetname` methods onto the associated device, and the :meth:`add_preset` and :meth:`add_preset_here` methods onto itself. Parameters ---------- device : :class:`~ophyd.device.Device` The device to manage saved preset positions for. It must implement the :class:`FltMvInterface`. Attributes ---------- positions : :class:`~types.SimpleNamespace` A namespace that contains all of the active presets as :class:`PresetPosition` objects. """ _registry = WeakSet() _paths = {} def __init__(self, device): self._device = device self._methods = [] self._fd = None self._registry.add(self) self.name = device.name + '_presets' self.sync() def _path(self, preset_type): """Utility function to get the preset file :class:`~pathlib.Path`.""" path = self._paths[preset_type] / (self._device.name + '.yml') logger.debug('select presets path %s', path) return path def _read(self, preset_type): """Utility function to get a particular preset's datum dictionary.""" logger.debug('read presets for %s', self._device.name) with self._file_open_rlock(preset_type) as f: f.seek(0) return yaml.full_load(f) or {} def _write(self, preset_type, data): """ Utility function to overwrite a particular preset's datum dictionary. """ logger.debug('write presets for %s', self._device.name) with self._file_open_rlock(preset_type) as f: f.seek(0) yaml.dump(data, f, default_flow_style=False) f.truncate() @contextmanager def _file_open_rlock(self, preset_type, timeout=1.0): """ File locking context manager for this object. Works like threading.Rlock in that you can acquire it multiple times safely. Parameters ---------- fd : file The file descriptor to lock on. Raises ------ BlockingIOError If we cannot acquire the file lock. """ if self._fd is None: path = self._path(preset_type) with open(path, 'r+') as fd: # Set up file lock timeout with a raising handler # We will need this handler due to PEP 475 def interrupt(signum, frame): raise InterruptedError() old_handler = signal.signal(signal.SIGALRM, interrupt) try: signal.setitimer(signal.ITIMER_REAL, timeout) fcntl.flock(fd, fcntl.LOCK_EX) except InterruptedError: # Ignore interrupted and proceed to cleanup pass finally: # Clean up file lock timeout signal.setitimer(signal.ITIMER_REAL, 0) signal.signal(signal.SIGALRM, old_handler) # Error now if we still can't get the lock. # Getting lock twice is safe. fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB) logger.debug('acquired lock for %s', path) self._fd = fd yield fd fcntl.flock(fd, fcntl.LOCK_UN) logger.debug('released lock for %s', path) self._fd = None else: logger.debug('using already open file descriptor') yield self._fd def _update(self, preset_type, name, value=None, comment=None, active=True): """ Utility function to update a preset position. Reads the existing preset's datum, updates the value the comment, and the active state, and then writes the datum back to the file, updating the history accordingly. """ logger.debug(('call %s presets._update(%s, %s, value=%s, comment=%s, ' 'active=%s)'), self._device.name, preset_type, name, value, comment, active) if not isinstance(name, str): raise TypeError(('name must be of type <str>, not type' '{}'.format(type(name)))) if value is not None and not isinstance(value, numbers.Real): raise TypeError(('value must be a real numeric type, not type' '{}'.format(type(value)))) try: path = self._path(preset_type) if not path.exists(): path.touch() path.chmod(0o666) with self._file_open_rlock(preset_type): data = self._read(preset_type) if value is None and comment is not None: value = data[name]['value'] if value is not None: if name not in data: data[name] = {} ts = time.strftime('%d %b %Y %H:%M:%S') data[name]['value'] = value history = data[name].get('history', {}) if comment: comment = ' ' + comment else: comment = '' history[ts] = '{:10.4f}{}'.format(value, comment) data[name]['history'] = history if active: data[name]['active'] = True else: data[name]['active'] = False self._write(preset_type, data) except BlockingIOError: self._log_flock_error() def sync(self): """Synchronize the presets with the database.""" logger.debug('call %s presets.sync()', self._device.name) self._remove_methods() self._cache = {} logger.debug('filling %s cache', self.name) for preset_type in self._paths.keys(): path = self._path(preset_type) if path.exists(): try: self._cache[preset_type] = self._read(preset_type) except BlockingIOError: self._log_flock_error() else: logger.debug('No %s preset file for %s', preset_type, self._device.name) self._create_methods() def _log_flock_error(self): logger.error(('Unable to acquire file lock for %s. ' 'File may be being edited by another user.'), self.name) logger.debug('', exc_info=True) def _create_methods(self): """ Create the dynamic methods based on the configured paths. Add methods to this object for adding presets of each type, add methods to the associated device to move and check each preset, and add :class:`PresetPosition` instances to :attr:`.positions` for each preset name. """ logger.debug('call %s presets._create_methods()', self._device.name) for preset_type in self._paths.keys(): add, add_here = self._make_add(preset_type) self._register_method(self, 'add_' + preset_type, add) self._register_method(self, 'add_here_' + preset_type, add_here) for preset_type, data in self._cache.items(): for name, info in data.items(): if info['active']: mv, umv = self._make_mv_pre(preset_type, name) wm = self._make_wm_pre(preset_type, name) self._register_method(self._device, 'mv_' + name, mv) self._register_method(self._device, 'umv_' + name, umv) self._register_method(self._device, 'wm_' + name, wm) setattr(self.positions, name, PresetPosition(self, preset_type, name)) def _register_method(self, obj, method_name, method): """ Utility function for managing dynamic methods. Adds a method to the :attr:`._methods` list and binds the method to an object. """ logger.debug('register method %s to %s', method_name, obj.name) self._methods.append((obj, method_name)) setattr(obj, method_name, MethodType(method, obj)) def _make_add(self, preset_type): """ Create the functions that add preset positions. Creates suitable versions of :meth:`.add` and :meth:`.add_here` for a particular preset type, e.g. ``add_preset_type`` and ``add_here_preset_type``. """ def add(self, name, value, comment=None): """ Add a preset position of type "{}". Parameters ---------- name : str The name of the new preset position. value : float The value of the new preset_position. comment : str, optional A comment to associate with the preset position. """ self._update(preset_type, name, value=value, comment=comment) self.sync() def add_here(self, name, comment=None): """ Add a preset of the current position of type "{}". Parameters ---------- name : str The name of the new preset position. comment : str, optional A comment to associate with the preset position. """ add(self, name, self._device.wm(), comment=comment) add.__doc__ = add.__doc__.format(preset_type) add_here.__doc__ = add_here.__doc__.format(preset_type) return add, add_here def _make_mv_pre(self, preset_type, name): """ Create the functions that move to preset positions. Creates a suitable versions of :meth:`~MvInterface.mv` and :meth:`~MvInterface.umv` for a particular preset type and name e.g. ``mv_sample``. """ def mv_pre(self, timeout=None, wait=False): """ Move to the {} preset position. Parameters ---------- timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. wait : bool, optional If `True`, wait for motion completion before returning. Defaults to :keyword:`False`. """ pos = self.presets._cache[preset_type][name]['value'] self.mv(pos, timeout=timeout, wait=wait) def umv_pre(self, timeout=None): """ Update move to the {} preset position. Parameters ---------- timeout : float, optional If provided, the mover will throw an error if motion takes longer than timeout to complete. If omitted, the mover's default timeout will be use. """ pos = self.presets._cache[preset_type][name]['value'] self.umv(pos, timeout=timeout) mv_pre.__doc__ = mv_pre.__doc__.format(name) umv_pre.__doc__ = umv_pre.__doc__.format(name) return mv_pre, umv_pre def _make_wm_pre(self, preset_type, name): """ Create a method to get the offset from a preset position. Creates a suitable version of :meth:`~MvInterface.wm` for a particular preset type and name e.g. ``wm_sample``. """ def wm_pre(self): """ Check the offset from the {} preset position. Returns ------- offset : float How far we are from the preset position. If this is near zero, we are at the position. If this positive, the preset position is in the positive direction from us. """ pos = self.presets._cache[preset_type][name]['value'] return pos - self.wm() wm_pre.__doc__ = wm_pre.__doc__.format(name) return wm_pre def _remove_methods(self): """Remove all methods created in the last call to _create_methods.""" logger.debug('call %s presets._remove_methods()', self._device.name) for obj, method_name in self._methods: try: delattr(obj, method_name) except AttributeError: pass self._methods = [] self.positions = SimpleNamespace() class PresetPosition: """ Manager for a single preset position. Parameters ---------- presets : :class:`Presets` The main :class:`Presets` object that manages this position. name : str The name of this preset position. """ def __init__(self, presets, preset_type, name): self._presets = presets self._preset_type = preset_type self._name = name def update_pos(self, pos=None, comment=None): """ Change this preset position and save it. Parameters ---------- pos : float, optional The position to use for this preset. If omitted, we'll use the current position. comment : str, optional A comment to associate with the preset position. """ if pos is None: pos = self._presets._device.wm() self._presets._update(self._preset_type, self._name, value=pos, comment=comment) self._presets.sync() def update_comment(self, comment): """ Revise the most recent comment in the preset history. Parameters ---------- comment : str A comment to associate with the preset position. """ self._presets._update(self._preset_type, self._name, comment=comment) self._presets.sync() def deactivate(self): """ Deactivate a preset from a device. This can always be undone unless you edit the underlying file. """ self._presets._update(self._preset_type, self._name, active=False) self._presets.sync() @property def info(self): """All information associated with this preset, returned as a dict.""" return self._presets._cache[self._preset_type][self._name] @property def pos(self): """The set position of this preset, returned as a float.""" return self.info['value'] @property def history(self): """ This position history associated with this preset, returned as a dict. """ return self.info['history'] @property def path(self): """The filepath that defines this preset, returned as a string.""" return str(self._presets._path(self._preset_type)) def __repr__(self): return str(self.pos) def tweak_base(*args): """ Base function to control motors with the arrow keys. With one motor, this will use the left and right arrows for the axis and up and down arrows for scaling the step size. With two motors, this will use left and right for the first axis and up and down for the second axis, with shift+arrow used for scaling the step size. The q key quits, as does ctrl+c. """ up = util.arrow_up down = util.arrow_down left = util.arrow_left right = util.arrow_right shift_up = util.shift_arrow_up shift_down = util.shift_arrow_down scale = 0.1 def thread_event(): """Function call camonitor to display motor position.""" thrd = Thread(target=args[0].camonitor,) thrd.start() args[0]._mov_ev.set() def _scale(scale, direction): """Function used to change the scale.""" if direction == up or direction == shift_up: scale = scale*2 print("\r {0:4f}".format(scale), end=" ") elif direction == down or direction == shift_down: scale = scale/2 print("\r {0:4f}".format(scale), end=" ") return scale def movement(scale, direction): """Function used to know when and the direction to move the motor.""" try: if direction == left: args[0].umvr(-scale) thread_event() elif direction == right: args[0].umvr(scale) thread_event() elif direction == up and len(args) > 1: args[1].umvr(scale) print("\r {0:4f}".format(args[1].position), end=" ") except Exception as exc: logger.error('Error in tweak move: %s', exc) logger.debug('', exc_info=True) # Loop takes in user key input and stops when 'q' is pressed if len(args) == 1: logger.info('Started tweak of %s', args[0]) else: logger.info('Started tweak of %s', [mot.name for mot in args]) is_input = True while is_input is True: inp = util.get_input() if inp in ('q', None): is_input = False else: if len(args) > 1 and inp == down: movement(-scale, up) elif len(args) > 1 and inp == up: movement(scale, inp) elif inp not in (up, down, left, right, shift_down, shift_up): print() # Newline if len(args) == 1: print(" Left: move x motor backward") print(" Right: move x motor forward") print(" Up: scale*2") print(" Down: scale/2") else: print(" Left: move x motor left") print(" Right: move x motor right") print(" Down: move y motor down") print(" Up: move y motor up") print(" Shift_Up: scale*2") print(" Shift_Down: scale/2") print(" Press q to quit." " Press any other key to display this message.") print() # Newline else: movement(scale, inp) scale = _scale(scale, inp) print() class AbsProgressBar(ProgressBar): """Progress bar that displays the absolute position as well.""" def update(self, *args, name=None, current=None, **kwargs): if None not in (name, current): super().update(*args, name='{} ({:.3f})'.format(name, current), current=current, **kwargs) else: super().update(*args, name=name, current=current, **kwargs) class LightpathMixin(OphydObject): """ Mix-in class that makes it easier to establish a lightpath interface. Use this on classes that are not state positioners but would still like to be used as a top-level device in lightpath. """ SUB_STATE = 'state' _default_sub = SUB_STATE # Component names whose values are relevant for inserted/removed lightpath_cpts = [] # Flag to signify that subclass is another mixin, rather than a device _lightpath_mixin = False def __init__(self, *args, **kwargs): self._lightpath_values = {} self._lightpath_ready = False self._retry_lightpath = False super().__init__(*args, **kwargs) def __init_subclass__(cls, **kwargs): # Magic to subscribe to the list of components super().__init_subclass__(**kwargs) if cls._lightpath_mixin: # Child of cls will inherit this as False cls._lightpath_mixin = False else: if not cls.lightpath_cpts: raise NotImplementedError('Did not implement LightpathMixin') for cpt_name in cls.lightpath_cpts: cpt = getattr(cls, cpt_name) cpt.sub_default(cls._update_lightpath) def _set_lightpath_states(self, lightpath_values): # Override based on the use case # update self._inserted, self._removed, # and optionally self._transmission raise NotImplementedError('Did not implement LightpathMixin') def _update_lightpath(self, *args, obj, **kwargs): try: # Universally cache values self._lightpath_values[obj] = kwargs # Only do the first lightpath state once all cpts have chimed in if len(self._lightpath_values) >= len(self.lightpath_cpts): self._retry_lightpath = False # Pass user function the full set of values self._set_lightpath_states(self._lightpath_values) self._lightpath_ready = not self._retry_lightpath if self._lightpath_ready: # Tell lightpath to update self._run_subs(sub_type=self.SUB_STATE) elif self._retry_lightpath and not self._destroyed: # Use this when the device wasn't ready to set states kw = dict(obj=obj) kw.update(kwargs) util.schedule_task(self._update_lightpath, args=args, kwargs=kw, delay=0.2) except Exception: # Without this, callbacks fail silently logger.exception('Error in lightpath update callback.') @property def inserted(self): return self._lightpath_ready and bool(self._inserted) @property def removed(self): return self._lightpath_ready and bool(self._removed) @property def transmission(self): try: return self._transmission except AttributeError: if self.inserted: return 0 else: return 1 class LightpathInOutMixin(LightpathMixin): """ LightpathMixin for parent device with InOut subdevices """ _lightpath_mixin = True def _set_lightpath_states(self, lightpath_values): in_check = [] out_check = [] trans_check = [] for obj, kwarg_dct in lightpath_values.items(): if not obj._state_initialized: # This would prevent make check_inserted, etc. fail self._retry_lightpath = True return in_check.append(obj.check_inserted(kwarg_dct['value'])) out_check.append(obj.check_removed(kwarg_dct['value'])) trans_check.append(obj.check_transmission(kwarg_dct['value'])) self._inserted = any(in_check) self._removed = all(out_check) self._transmission = functools.reduce(lambda a, b: a*b, trans_check)

b7ef48ad6ae2e2e52dc5f4669657354bb2214ea5

py

Python

history_actions/loader.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

2018-09-11T18:35:42.000Z

2018-09-11T18:35:42.000Z

history_actions/loader.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

history_actions/loader.py

marcosschroh/django-history-actions

fc29eee29ed4f6ba71a366783fefdbe223cbed21

from django.apps import apps from django.db.models.signals import post_save from history_actions import mixins def subscribe_to_signals(): for app, models in apps.all_models.items(): for _, model in models.items(): if issubclass(model, mixins.PostSaveHistory): post_save.connect( mixins.PostSaveHistory.save_signal_callback, sender=model)

06f81c54e0c39f1f522c11571ac1e4ec5ba138e1

py

Python

test/test_blender.py

ottopasuuna/blender-render-tool

99f7b9e3ee1004efb739c7812bd0e976cf386511

2020-10-04T22:06:10.000Z

2020-10-30T13:48:28.000Z

test/test_blender.py

ottopasuuna/blender-render-tool

99f7b9e3ee1004efb739c7812bd0e976cf386511

2018-09-04T02:50:55.000Z

2020-04-10T19:17:58.000Z

test/test_blender.py

ottopasuuna/blender-render-tool

99f7b9e3ee1004efb739c7812bd0e976cf386511

2018-10-13T20:01:36.000Z

2021-03-01T20:09:42.000Z

from .context import src from src.blender import * def test_build_blender_cmd(): cmd = build_blender('test.blend', 'outdir', frames=range(1, 3)) assert cmd == 'blender -b test.blend -o outdir/####.png -f 1,2' cmd = build_blender('test.blend', 'outdir', frames=range(1, 6, 2)) assert cmd == 'blender -b test.blend -o outdir/####.png -f 1,3,5' def test_split_frames_per_host(): fph = split_frames_per_host(range(1, 5), ['localhost', 'server']) assert fph == {'localhost': [1, 2], 'server': [3, 4]}

469bef3074f386ec65194b5074d16ddf8c8c7c21

py

Python

test/functional/rpc_bind.py

HunterCanimun/surgeofficial-surge-coin

663dc25517e9045a65a9b1e0993bbaa06d564284

test/functional/rpc_bind.py

HunterCanimun/surgeofficial-surge-coin

663dc25517e9045a65a9b1e0993bbaa06d564284

test/functional/rpc_bind.py

HunterCanimun/surgeofficial-surge-coin

663dc25517e9045a65a9b1e0993bbaa06d564284

#!/usr/bin/env python3 # Copyright (c) 2014-2017 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test running bitcoind with the -rpcbind and -rpcallowip options.""" import socket import sys from test_framework.test_framework import SurgeTestFramework, SkipTest from test_framework.util import * from test_framework.netutil import * class RPCBindTest(SurgeTestFramework): def set_test_params(self): self.setup_clean_chain = True self.num_nodes = 1 def setup_network(self): self.add_nodes(self.num_nodes, None) def run_bind_test(self, allow_ips, connect_to, addresses, expected): ''' Start a node with requested rpcallowip and rpcbind parameters, then try to connect, and check if the set of bound addresses matches the expected set. ''' self.log.info("Bind test for %s" % str(addresses)) expected = [(addr_to_hex(addr), port) for (addr, port) in expected] base_args = ['-disablewallet', '-nolisten'] if allow_ips: base_args += ['-rpcallowip=' + x for x in allow_ips] binds = ['-rpcbind='+addr for addr in addresses] self.nodes[0].rpchost = connect_to self.start_node(0, base_args + binds) pid = self.nodes[0].process.pid assert_equal(set(get_bind_addrs(pid)), set(expected)) self.stop_nodes() def run_allowip_test(self, allow_ips, rpchost, rpcport): ''' Start a node with rpcallow IP, and request getnetworkinfo at a non-localhost IP. ''' self.log.info("Allow IP test for %s:%d" % (rpchost, rpcport)) base_args = ['-disablewallet', '-nolisten'] + ['-rpcallowip='+x for x in allow_ips] self.nodes[0].rpchost = None self.start_nodes([base_args]) # connect to node through non-loopback interface node = get_rpc_proxy(rpc_url(get_datadir_path(self.options.tmpdir, 0), 0, "%s:%d" % (rpchost, rpcport)), 0, coveragedir=self.options.coveragedir) node.getnetworkinfo() self.stop_nodes() def run_test(self): # due to OS-specific network stats queries, this test works only on Linux if not sys.platform.startswith('linux'): raise SkipTest("This test can only be run on linux.") # find the first non-loopback interface for testing non_loopback_ip = None for name,ip in all_interfaces(): if ip != '127.0.0.1': non_loopback_ip = ip break if non_loopback_ip is None: raise SkipTest("This test requires at least one non-loopback IPv4 interface.") try: s = socket.socket(socket.AF_INET6, socket.SOCK_DGRAM) s.connect(("::1",1)) s.close except OSError: raise SkipTest("This test requires IPv6 support.") self.log.info("Using interface %s for testing" % non_loopback_ip) defaultport = rpc_port(0) # check default without rpcallowip (IPv4 and IPv6 localhost) self.run_bind_test(None, '127.0.0.1', [], [('127.0.0.1', defaultport), ('::1', defaultport)]) # check default with rpcallowip (IPv6 any) self.run_bind_test(['127.0.0.1'], '127.0.0.1', [], [('::0', defaultport)]) # check only IPv4 localhost (explicit) self.run_bind_test(['127.0.0.1'], '127.0.0.1', ['127.0.0.1'], [('127.0.0.1', defaultport)]) # check only IPv4 localhost (explicit) with alternative port self.run_bind_test(['127.0.0.1'], '127.0.0.1:32171', ['127.0.0.1:32171'], [('127.0.0.1', 32171)]) # check only IPv4 localhost (explicit) with multiple alternative ports on same host self.run_bind_test(['127.0.0.1'], '127.0.0.1:32171', ['127.0.0.1:32171', '127.0.0.1:32172'], [('127.0.0.1', 32171), ('127.0.0.1', 32172)]) # check only IPv6 localhost (explicit) self.run_bind_test(['[::1]'], '[::1]', ['[::1]'], [('::1', defaultport)]) # check both IPv4 and IPv6 localhost (explicit) self.run_bind_test(['127.0.0.1'], '127.0.0.1', ['127.0.0.1', '[::1]'], [('127.0.0.1', defaultport), ('::1', defaultport)]) # check only non-loopback interface self.run_bind_test([non_loopback_ip], non_loopback_ip, [non_loopback_ip], [(non_loopback_ip, defaultport)]) # Check that with invalid rpcallowip, we are denied self.run_allowip_test([non_loopback_ip], non_loopback_ip, defaultport) assert_raises_rpc_error(-342, "non-JSON HTTP response with '403 Forbidden' from server", self.run_allowip_test, ['1.1.1.1'], non_loopback_ip, defaultport) if __name__ == '__main__': RPCBindTest().main()

857761cc8ab950d1c17148ddbcef304b3c6e1889

py

Python

predict.py

mme384/Image-Classifier-MobileNet-V2

28a285c69dc30f45bbcb4c80e60676aec22d1083

predict.py

mme384/Image-Classifier-MobileNet-V2

28a285c69dc30f45bbcb4c80e60676aec22d1083

predict.py

mme384/Image-Classifier-MobileNet-V2

28a285c69dc30f45bbcb4c80e60676aec22d1083

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ FILE NAME: predict.py AUTHOR: Michalis Meyer DATE CREATED: 22.04.2020 DATE LAST MODIFIED: PYTHON VERSION: 3.7 SCRIPT PURPOSE: Predict the class of an image SAMPLE COMMAND LINE: python predict.py --file_path './test_images/hard-leaved_pocket_orchid.jpg' --model_filename 'model_20200422_223607.h5' --top_k 5 --category_names 'label_map.json' """ # Import modules import warnings # Import module to deal with warnings from argparse import ArgumentParser # Import module to parse arguments import numpy as np # Import module to use numpy import matplotlib.pyplot as plt # Import module to use matplotlib import tensorflow as tf # Import module to use tensorflow import tensorflow_datasets as tfds # Import module to use tensorflow datasets import tensorflow_hub as hub # Import module to import model from tensorflow Hub import json # Import module for label mapping import os # Import module to deal with path names used in image data generator from PIL import Image # Process image for prediction import utility_functions as utf # Import module with custom utility functions def set_up_workspace(): """ Setup up the workspace Parameters: None Returns: None """ # Avoid Error #15: Initializing libiomp5.dylib, but found libiomp5.dylib already initialized. # https://stackoverflow.com/questions/53014306/error-15-initializing-libiomp5-dylib-but-found-libiomp5-dylib-already-initial os.environ['KMP_DUPLICATE_LIB_OK'] = 'True' # Magic command for inline plotting # %matplotlib inline # %config InlineBackend.figure_format = 'retina' def get_input_args(): """ Retrieve and parse command line arguments. Command Line Arguments: - Image file path as --file_path - Model path and file name as --model_filename - Top k classes to be returned as --top_k - Path to json file mapping labels as --category_names This function returns these arguments as an ArgumentParser object. Parameters: None - simply using argparse module to create & store command line arguments Returns: parse_args() - data structure that stores the command line arguments object. """ # Create Parse using ArgumentParser parser = ArgumentParser() # Image file path as --file_path # Path to test images # image_path = './test_images/hard-leaved_pocket_orchid.jpg' # image_path = './test_images/cautleya_spicata.jpg' # image_path = './test_images/orange_dahlia.jpg' # image_path = './test_images/wild_pansy.jpg' parser.add_argument("--file_path", type = str, default = './test_images/hard-leaved_pocket_orchid.jpg', help = "Image file path.") # Model file name as --model_filename parser.add_argument("--model_filename", type = str, default = 'model_20200422_223607.h5', help = "Model path and file name.") # Top k classes to be returned as --top_k with default value 5 parser.add_argument("--top_k", type = int, default = 5, help = "Number of epochs. Default = 5") # json file mapping labels as --category_names parser.add_argument("--category_names", type = str, default = 'label_map.json', help = "json file mapping labels.") return parser.parse_args() def load_model(model_filename): """ Load the Keras model Parameters: The model file name for the trained TensorFlow Keras model Returns: Returns the model """ # Reload model model = tf.keras.models.load_model(model_filename, custom_objects={'KerasLayer': hub.KerasLayer}) # Display model summary model.summary() return model def predict(image_path, model, class_names, top_k): ''' Predicts class of image based on model Parameters: image_path Path of the image to be classified model: Name of the trained model class_names: Complete list containing class names and their indices top_k: Top k probalibilites and classes to be returned by the function Returns: top_k_probs_np Numpy array of top k probabilities predicted by the model top_k_classes List of top k classes predicted by the model ''' # Open image image = Image.open(image_path) # Conevrt image to numpy array image_np = np.asarray(image) # Process image to be ready for prediction processed_image = utf.process_image(image_np) # Expand shape (224, 224, 3) to (1, 224, 224, 3) to represent the batch size. expanded_image = np.expand_dims(processed_image, axis=0) # Predict class probs = model.predict(expanded_image) # Get top k probabilities and their index top_k_probs, top_k_indices = tf.math.top_k(probs, k=top_k, sorted=True) # Convert top k probabilities and their index from tf.Tensor to numpy array and squeeze the shape top_k_probs_np = top_k_probs.numpy().squeeze() top_k_indices_np = top_k_indices.numpy().squeeze() # Convert int to str top_k_indices_np_str = np.char.mod('%d', top_k_indices_np) # Create top_k_classes list top_k_classes = [] [top_k_classes.append(class_names[label]) for label in top_k_indices_np_str] return top_k_probs_np, top_k_classes def main(): """ Main function Parameters: None Returns: None """ # Set up the workspace set_up_workspace() # Assigns variable in_args to parse_args() in_args = get_input_args() # Load model model = load_model(in_args.model_filename) # Load mapping from label to category name with open(in_args.category_names, 'r') as f: class_names = json.load(f) # Load test image, convert to numpy array, process image org_image = Image.open(in_args.file_path) test_image = np.asarray(org_image) test_image = utf.process_image(test_image) # Predict class and probability of image probs, top_k_classes = predict(in_args.file_path, model, class_names, in_args.top_k) # Print classes and probabilities utf.display_predictions(probs, top_k_classes) # Plot image, classes and probabilities utf.show_image(test_image, probs, top_k_classes) # Show all matplotlib plots made in the script plt.show() # Run main function if __name__ == '__main__': main()

ba650962e9b117b332a162f731e7909d0773b5ea

py

Python

camera_calib/fiducial_detect.py

justinblaber/camera_calib_python

9427ff31d55af7619e7aee74136446a31d10def0

2020-10-14T10:24:09.000Z

2021-09-19T20:48:40.000Z

camera_calib/fiducial_detect.py

justinblaber/camera_calib_python

9427ff31d55af7619e7aee74136446a31d10def0

2021-09-28T02:06:42.000Z

2021-09-28T02:06:42.000Z

camera_calib/fiducial_detect.py

justinblaber/camera_calib_python

9427ff31d55af7619e7aee74136446a31d10def0

2021-01-07T20:13:31.000Z

2021-01-08T18:16:53.000Z

# AUTOGENERATED! DO NOT EDIT! File to edit: fiducial_detect.ipynb (unless otherwise specified). __all__ = ['DotVisionCheckerDLDetector'] # Cell import copy import math import warnings import torch from skimage.measure import label, regionprops from torchvision import transforms from .utils import * # Cell class DotVisionCheckerDLDetector(): def __init__(self, file_model, device=torch.device('cpu')): self.model = torch.jit.load(file_model.as_posix(), map_location=device).eval() self.device = device def format_arr(self, arr): if arr.min() < 0: warnings.warn('Value less than zero detected') if arr.max() > 1: warnings.warn('Value greater than 1 detected') arr = arr.float() # Must be single precision arr = imresize(arr, 384) # Network trained on grayscale 384 sized images arr = rescale(arr, (0, 1), (-1, 1)) # Network trained on images between [-1,1] arr = arr[None, None] # Add batch and channel dimension arr = arr.to(self.device) # Move to device return arr def get_mask(self, arr): with torch.no_grad(): mask = self.model(self.format_arr(arr)) # Inference mask = mask.to(arr.device) # Make sure its in the same device as array mask = mask.argmax(dim=1) # Convert from scores to labels mask = mask.squeeze(0) # Remove batch dimension return mask def __call__(self, arr): mask = self.get_mask(arr) # Extract fiducial points from mask ps_f = arr.new_full((4,2), math.nan) for idx, p_f in enumerate(ps_f): regions = regionprops(label(torch2np(mask) == (idx+1))) # regionprops doesnt work for gpu if len(regions) > 0: region = regions[arr.new_tensor([r.area for r in regions]).argmax()] ps_f[idx] = arr.new_tensor(reverse(region.centroid)) ps_f *= (shape(arr)/shape(mask)).mean() return ps_f

37cfb208d246f6f08f6193188ae4bc9348ee45aa

py

Python

Medium/784. Letter Case Permutation/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

2020-05-09T12:55:09.000Z

2022-03-11T18:56:05.000Z

Medium/784. Letter Case Permutation/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

Medium/784. Letter Case Permutation/solution (1).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

2022-03-11T18:56:16.000Z

2022-03-11T18:56:16.000Z

# 784. Letter Case Permutation # Runtime: 98 ms, faster than 16.21% of Python3 online submissions for Letter Case Permutation. # Memory Usage: 15.5 MB, less than 27.62% of Python3 online submissions for Letter Case Permutation. class Solution: # Recursion def letterCasePermutation(self, s: str) -> list[str]: ans = [] def select(curr: str, i: int) -> None: if i == len(s): ans.append(curr) elif s[i].isalpha(): select(curr + s[i].lower(), i + 1) select(curr + s[i].upper(), i + 1) else: select(curr + s[i], i + 1) select("", 0) return ans

511c2c796aede7f3c0c061bf30347288bf2b566e

py

Python

historia/test/test_economy.py

eranimo/historia

5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd

2016-04-26T18:39:36.000Z

2021-09-01T09:13:38.000Z

historia/test/test_economy.py

eranimo/historia

5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd

historia/test/test_economy.py

eranimo/historia

5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd

2016-04-10T23:47:23.000Z

2021-08-15T11:40:28.000Z

from unittest import TestCase from historia.pops.enums.pop_job import PopJob from historia.economy import Good from historia.test.mocks import mock_manager, mock_map, make_mock_country, make_mock_pop random_hex = mock_map.random_hex() country = make_mock_country(mock_manager, random_hex) province = country.provinces[0] market = province.market class TestEconomy(TestCase): def test_money(self): farmer = make_mock_pop(province, PopJob.farmer) province.add_pops([farmer]) farmer.money += 10 self.assertEqual(farmer.money, 20) farmer.money -= 10 self.assertEqual(farmer.money, 10) def test_idle_fee(self): farmer = make_mock_pop(province, PopJob.farmer) province.add_pops([farmer]) farmer.inventory.set(Good.timber, 0) self.assertEqual(farmer.money, 10) farmer.perform_logic() self.assertEqual(farmer.money, 8) def test_production(self): farmer = make_mock_pop(province, PopJob.farmer) province.add_pops([farmer]) grain = farmer.inventory.get_amount(Good.grain) tools = farmer.inventory.get_amount(Good.tools) bread = farmer.inventory.get_amount(Good.bread) timber = farmer.inventory.get_amount(Good.timber) farmer.perform_logic() self.assertEqual(farmer.inventory.get_amount(Good.grain), grain + 4) self.assertEqual(farmer.inventory.get_amount(Good.bread), bread - 1) self.assertEqual(farmer.inventory.get_amount(Good.timber), timber - 1) farmer.inventory.add(Good.timber, 1) farmer.inventory.add(Good.bread, 1) grain = farmer.inventory.get_amount(Good.grain) tools = farmer.inventory.get_amount(Good.tools) bread = farmer.inventory.get_amount(Good.bread) timber = farmer.inventory.get_amount(Good.timber) farmer.perform_logic() self.assertEqual(farmer.inventory.get_amount(Good.grain), grain + 4) self.assertEqual(farmer.inventory.get_amount(Good.bread), bread - 1) self.assertEqual(farmer.inventory.get_amount(Good.timber), timber - 1)

b3e5b9a0e2df12959ec5190d80968cb5f77a4bfe

py

Python

consumer_avro.py

Codnos/kafka-avro-mongo-webflux

2c3f7b6519c58f13e3f4a76b3307152f40c6eb12

2018-06-04T16:28:40.000Z

2018-06-04T16:28:40.000Z

consumer_avro.py

Codnos/kafka-avro-mongo-webflux

2c3f7b6519c58f13e3f4a76b3307152f40c6eb12

2022-03-08T21:11:03.000Z

2022-03-08T21:11:03.000Z

consumer_avro.py

Codnos/kafka-avro-mongo-webflux-reactjs

2c3f7b6519c58f13e3f4a76b3307152f40c6eb12

import io import urllib.request import pandas as pd import avro.schema import avro.io import decimal def twos_comp(val, bits): """compute the 2's complement of int value val""" if (val & (1 << (bits - 1))) != 0: # if sign bit is set e.g., 8bit: 128-255 val = val - (1 << bits) # compute negative value return val # return positive value as is def decimal_from_bytes(bytes, scale): original = int.from_bytes(bytes, byteorder='big', signed=False) bits = len(bytes)*8 decoded = twos_comp(original, bits) return decimal.Decimal(decoded) / decimal.Decimal(10**scale) url = "http://localhost:8080/api/users" headers = {"Accept": "application/avro"} request = urllib.request.Request(url, headers=headers) response = urllib.request.urlopen(request) schema = avro.schema.Parse(open("users-domain/src/main/avro/user.avsc", "r").read()) resp = response.read() bytes_reader = io.BytesIO(resp) decoder = avro.io.BinaryDecoder(bytes_reader) reader = avro.io.DatumReader(schema) user = reader.read(decoder) print(user) columns = user['salary_structure'] extended = ['place'] + columns scale = user['salary_precision'] rows = [] for key, value in user['salaries'].items(): numbers = [] for val in value: numbers.append(decimal_from_bytes(val, scale)) row = [key] + numbers rows.append(row) df = pd.DataFrame(rows, columns=(extended)) print(df)

c57c0657e06889f184323af25ba681655993b701

py

Python

trove/tests/scenario/groups/guest_log_group.py

a4913994/openstack_trove

3b550048dd1e5841ad0f3295679e0f0b913a5687

2015-01-01T12:04:44.000Z

2022-03-25T23:38:39.000Z

trove/tests/scenario/groups/guest_log_group.py

a4913994/openstack_trove

3b550048dd1e5841ad0f3295679e0f0b913a5687

2015-08-18T08:19:10.000Z

2022-03-05T02:32:36.000Z

trove/tests/scenario/groups/guest_log_group.py

a4913994/openstack_trove

3b550048dd1e5841ad0f3295679e0f0b913a5687

2015-01-02T15:16:58.000Z

2022-03-23T03:30:20.000Z

# Copyright 2015 Tesora Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from proboscis import test from trove.tests.scenario import groups from trove.tests.scenario.groups.test_group import TestGroup from trove.tests.scenario.runners import test_runners GROUP = "scenario.guest_log_group" class GuestLogRunnerFactory(test_runners.RunnerFactory): _runner_ns = 'guest_log_runners' _runner_cls = 'GuestLogRunner' @test(depends_on_groups=[groups.DB_ACTION_INST_DELETE_WAIT], groups=[GROUP, groups.INST_LOG]) class GuestLogGroup(TestGroup): """Test Guest Log functionality.""" def __init__(self): super(GuestLogGroup, self).__init__( GuestLogRunnerFactory.instance()) @test def test_log_list(self): """Test that log-list works.""" self.test_runner.run_test_log_list() @test def test_admin_log_list(self): """Test that log-list works for admin user.""" self.test_runner.run_test_admin_log_list() @test def test_log_enable_sys(self): """Ensure log-enable on SYS log fails.""" self.test_runner.run_test_log_enable_sys() @test def test_log_disable_sys(self): """Ensure log-disable on SYS log fails.""" self.test_runner.run_test_log_disable_sys() @test def test_log_show_unauth_user(self): """Ensure log-show by unauth client on USER log fails.""" self.test_runner.run_test_log_show_unauth_user() @test def test_log_list_unauth_user(self): """Ensure log-list by unauth client on USER log fails.""" self.test_runner.run_test_log_list_unauth_user() @test def test_log_generator_unauth_user(self): """Ensure log-generator by unauth client on USER log fails.""" self.test_runner.run_test_log_generator_unauth_user() @test def test_log_generator_publish_unauth_user(self): """Ensure log-generator by unauth client with publish fails.""" self.test_runner.run_test_log_generator_publish_unauth_user() @test def test_log_show_unexposed_user(self): """Ensure log-show on unexposed log fails for auth client.""" self.test_runner.run_test_log_show_unexposed_user() @test def test_log_enable_unexposed_user(self): """Ensure log-enable on unexposed log fails for auth client.""" self.test_runner.run_test_log_enable_unexposed_user() @test def test_log_disable_unexposed_user(self): """Ensure log-disable on unexposed log fails for auth client.""" self.test_runner.run_test_log_disable_unexposed_user() @test def test_log_publish_unexposed_user(self): """Ensure log-publish on unexposed log fails for auth client.""" self.test_runner.run_test_log_publish_unexposed_user() @test def test_log_discard_unexposed_user(self): """Ensure log-discard on unexposed log fails for auth client.""" self.test_runner.run_test_log_discard_unexposed_user() # USER log tests @test(runs_after=[test_log_list, test_admin_log_list]) def test_log_show(self): """Test that log-show works on USER log.""" self.test_runner.run_test_log_show() @test(runs_after=[test_log_show]) def test_log_enable_user(self): """Test log-enable on USER log.""" self.test_runner.run_test_log_enable_user() @test(runs_after=[test_log_enable_user]) def test_log_enable_flip_user(self): """Test that flipping restart-required log-enable works.""" self.test_runner.run_test_log_enable_flip_user() @test(runs_after=[test_log_enable_flip_user]) def test_restart_datastore(self): """Test restart datastore if required.""" self.test_runner.run_test_restart_datastore() @test(runs_after=[test_restart_datastore]) def test_wait_for_restart(self): """Wait for restart to complete.""" self.test_runner.run_test_wait_for_restart() @test(runs_after=[test_wait_for_restart]) def test_log_publish_user(self): """Test log-publish on USER log.""" self.test_runner.run_test_log_publish_user() @test(runs_after=[test_log_publish_user]) def test_add_data(self): """Add data for second log-publish on USER log.""" self.test_runner.run_test_add_data() @test(runs_after=[test_add_data]) def test_verify_data(self): """Verify data for second log-publish on USER log.""" self.test_runner.run_test_verify_data() @test(runs_after=[test_verify_data]) def test_log_publish_again_user(self): """Test log-publish again on USER log.""" self.test_runner.run_test_log_publish_again_user() @test(runs_after=[test_log_publish_again_user]) def test_log_generator_user(self): """Test log-generator on USER log.""" self.test_runner.run_test_log_generator_user() @test(runs_after=[test_log_generator_user]) def test_log_generator_publish_user(self): """Test log-generator with publish on USER log.""" self.test_runner.run_test_log_generator_publish_user() @test(runs_after=[test_log_generator_publish_user]) def test_log_generator_swift_client_user(self): """Test log-generator on USER log with passed-in Swift client.""" self.test_runner.run_test_log_generator_swift_client_user() @test(runs_after=[test_log_generator_swift_client_user]) def test_add_data_again(self): """Add more data for log-generator row-by-row test on USER log.""" self.test_runner.run_test_add_data_again() @test(runs_after=[test_add_data_again]) def test_verify_data_again(self): """Verify data for log-generator row-by-row test on USER log.""" self.test_runner.run_test_verify_data_again() @test(runs_after=[test_verify_data_again]) def test_log_generator_user_by_row(self): """Test log-generator on USER log row-by-row.""" self.test_runner.run_test_log_generator_user_by_row() @test(depends_on=[test_log_publish_user], runs_after=[test_log_generator_user_by_row]) def test_log_save_user(self): """Test log-save on USER log.""" self.test_runner.run_test_log_save_user() @test(depends_on=[test_log_publish_user], runs_after=[test_log_save_user]) def test_log_save_publish_user(self): """Test log-save on USER log with publish.""" self.test_runner.run_test_log_save_publish_user() @test(runs_after=[test_log_save_publish_user]) def test_log_discard_user(self): """Test log-discard on USER log.""" self.test_runner.run_test_log_discard_user() @test(runs_after=[test_log_discard_user]) def test_log_disable_user(self): """Test log-disable on USER log.""" self.test_runner.run_test_log_disable_user() @test(runs_after=[test_log_disable_user]) def test_restart_datastore_again(self): """Test restart datastore again if required.""" self.test_runner.run_test_restart_datastore() @test(runs_after=[test_restart_datastore_again]) def test_wait_for_restart_again(self): """Wait for restart to complete again.""" self.test_runner.run_test_wait_for_restart() @test(runs_after=[test_wait_for_restart_again]) def test_log_show_after_stop_details(self): """Get log-show details before adding data.""" self.test_runner.run_test_log_show_after_stop_details() @test(runs_after=[test_log_show_after_stop_details]) def test_add_data_again_after_stop(self): """Add more data to ensure logging has stopped on USER log.""" self.test_runner.run_test_add_data_again_after_stop() @test(runs_after=[test_add_data_again_after_stop]) def test_verify_data_again_after_stop(self): """Verify data for stopped logging on USER log.""" self.test_runner.run_test_verify_data_again_after_stop() @test(runs_after=[test_verify_data_again_after_stop]) def test_log_show_after_stop(self): """Test that log-show has same values on USER log.""" self.test_runner.run_test_log_show_after_stop() @test(runs_after=[test_log_show_after_stop]) def test_log_enable_user_after_stop(self): """Test log-enable still works on USER log.""" self.test_runner.run_test_log_enable_user_after_stop() @test(runs_after=[test_log_enable_user_after_stop]) def test_restart_datastore_after_stop_start(self): """Test restart datastore after stop/start if required.""" self.test_runner.run_test_restart_datastore() @test(runs_after=[test_restart_datastore_after_stop_start]) def test_wait_for_restart_after_stop_start(self): """Wait for restart to complete again after stop/start.""" self.test_runner.run_test_wait_for_restart() @test(runs_after=[test_wait_for_restart_after_stop_start]) def test_add_data_again_after_stop_start(self): """Add more data to ensure logging works again on USER log.""" self.test_runner.run_test_add_data_again_after_stop_start() @test(runs_after=[test_add_data_again_after_stop_start]) def test_verify_data_again_after_stop_start(self): """Verify data for re-enabled logging on USER log.""" self.test_runner.run_test_verify_data_again_after_stop_start() @test(runs_after=[test_verify_data_again_after_stop_start]) def test_log_publish_after_stop_start(self): """Test log-publish after stop/start on USER log.""" self.test_runner.run_test_log_publish_after_stop_start() @test(runs_after=[test_log_publish_after_stop_start]) def test_log_disable_user_after_stop_start(self): """Test log-disable on USER log after stop/start.""" self.test_runner.run_test_log_disable_user_after_stop_start() @test(runs_after=[test_log_disable_user_after_stop_start]) def test_restart_datastore_after_final_stop(self): """Test restart datastore again if required after final stop.""" self.test_runner.run_test_restart_datastore() @test(runs_after=[test_restart_datastore_after_final_stop]) def test_wait_for_restart_after_final_stop(self): """Wait for restart to complete again after final stop.""" self.test_runner.run_test_wait_for_restart() # SYS log tests @test def test_log_show_sys(self): """Test that log-show works for SYS log.""" self.test_runner.run_test_log_show_sys() @test(runs_after=[test_log_show_sys]) def test_log_publish_sys(self): """Test log-publish on SYS log.""" self.test_runner.run_test_log_publish_sys() @test(runs_after=[test_log_publish_sys]) def test_log_publish_again_sys(self): """Test log-publish again on SYS log.""" self.test_runner.run_test_log_publish_again_sys() @test(depends_on=[test_log_publish_again_sys]) def test_log_generator_sys(self): """Test log-generator on SYS log.""" self.test_runner.run_test_log_generator_sys() @test(runs_after=[test_log_generator_sys]) def test_log_generator_publish_sys(self): """Test log-generator with publish on SYS log.""" self.test_runner.run_test_log_generator_publish_sys() @test(depends_on=[test_log_publish_sys], runs_after=[test_log_generator_publish_sys]) def test_log_generator_swift_client_sys(self): """Test log-generator on SYS log with passed-in Swift client.""" self.test_runner.run_test_log_generator_swift_client_sys() @test(depends_on=[test_log_publish_sys], runs_after=[test_log_generator_swift_client_sys]) def test_log_save_sys(self): """Test log-save on SYS log.""" self.test_runner.run_test_log_save_sys() @test(runs_after=[test_log_save_sys]) def test_log_save_publish_sys(self): """Test log-save on SYS log with publish.""" self.test_runner.run_test_log_save_publish_sys() @test(runs_after=[test_log_save_publish_sys]) def test_log_discard_sys(self): """Test log-discard on SYS log.""" self.test_runner.run_test_log_discard_sys()

9e76f30a099e36500602df7f34f0ee06cf311bfe

py

Python

data_random.py

nuaaflash/NuaaOldBookStore

259f551a5fa97f2862745cb239c50d8ef87efe49

2020-04-15T17:04:07.000Z

2020-04-15T17:04:07.000Z

data_random.py

nuaaflash/NuaaOldBookStore

259f551a5fa97f2862745cb239c50d8ef87efe49

data_random.py

nuaaflash/NuaaOldBookStore

259f551a5fa97f2862745cb239c50d8ef87efe49

from Bookstore.models import * from django.utils import timezone import random import json import hashlib import sys reload(sys) sys.setdefaultencoding('utf-8') def get_publisher(): return "Online Bookstore Publisher" def get_date(): return timezone.now() def get_isbn(book): print book['book_name'] mm = hashlib.sha256(book['book_name']).hexdigest() return mm[:5] + '-' + mm[5:10] + '-' + mm[10:15] def get_language(): languages = ['Chinese', 'English', 'Japanese', 'Spanish', 'Germany'] return random.choice(languages) def insert_book(): books_info = json.load(open('book.json')) for book in books_info: haha = Book.objects.create(isbn=get_isbn(book), name=book['book_name'], description=book['book_description'], publish_date=timezone.now(), price=random.randint(20, 200), publisher=get_publisher(), page_number=random.randint(200, 500), language=get_language(), cover_image=book['book_image_name']) def get_recommend_books(this_book, all_books): rt = random.sample(all_books, 4) while this_book in rt: rt = random.sample(all_books, 4) return rt def insert_relations(): all_books = Book.objects.all() for book in all_books: recommend_books = get_recommend_books(book, all_books) for rbook in recommend_books: book.related_books.add(rbook) if __name__ == '__main__': main()

a544c4c4974f55921d03264f3a15e1ef693ddf98

py

Python

pyk4a/pyk4a.py

kevinkit/pyk4a

159c6eff46a2aecfea8553efba0fd20950ccc763

2020-02-11T13:05:09.000Z

2020-06-16T14:22:28.000Z

pyk4a/pyk4a.py

kevinkit/pyk4a

159c6eff46a2aecfea8553efba0fd20950ccc763

pyk4a/pyk4a.py

kevinkit/pyk4a

159c6eff46a2aecfea8553efba0fd20950ccc763

2020-02-11T13:06:36.000Z

2020-02-11T13:06:36.000Z

from typing import Tuple, Union, Optional import k4a_module from enum import Enum import numpy as np from pyk4a.config import Config, ColorControlMode, ColorControlCommand # k4a_wait_result_t class Result(Enum): Success = 0 Failed = 1 Timeout = 2 class K4AException(Exception): pass class K4ATimeoutException(K4AException): pass class PyK4A: TIMEOUT_WAIT_INFINITE = -1 def __init__(self, config=Config(), device_id=0): self._device_id = device_id self._config = config self.is_running = False def __del__(self): if self.is_running: self.disconnect() def connect(self): self._device_open() self._start_cameras() self.is_running = True def disconnect(self): self._stop_cameras() self._device_close() self.is_running = False def _device_open(self): res = k4a_module.device_open(self._device_id) self._verify_error(res) def _device_close(self): res = k4a_module.device_close() self._verify_error(res) def _start_cameras(self): res = k4a_module.device_start_cameras(*self._config.unpack()) self._verify_error(res) def _stop_cameras(self): res = k4a_module.device_stop_cameras() self._verify_error(res) def get_capture(self, timeout=TIMEOUT_WAIT_INFINITE, color_only=False, transform_depth_to_color=True): r"""Fetch a capture from the device and return as numpy array(s) or None. Arguments: :param timeout: Timeout in ms. Default is infinite. :param color_only: If true, returns color image only as np.array :param transform_depth_to_color: If true, transforms the depth image to the color image reference, using the kinect azure device calibration parameters. Returns: :return img_color [, img_depth] # image could be None if config synchronized_images_only==False Examples:: - if config synchronized_images_only=True >>> k4a.get_capture(color_only=True) # type: np.ndarray - if config synchronized_images_only=False, you must check if returs for each image is None >>> k4a.get_capture(color_only=True) # type: Optional[np.ndarray] >>> k4a.get_capture() # type: Tuple[Optional[np.ndarray], Optional[np.ndarray]] """ res = k4a_module.device_get_capture(timeout) self._verify_error(res) color = self._get_capture_color() if color_only: return color else: depth = self._get_capture_depth(transform_depth_to_color) ir = self._get_capture_ir(False) return color, depth, ir def _get_capture_color(self) -> Optional[np.ndarray]: return k4a_module.device_get_color_image() def _get_capture_depth(self, transform_depth_to_color: bool) -> Optional[np.ndarray]: return k4a_module.device_get_depth_image(transform_depth_to_color) def _get_capture_ir(self, transform_ir_to_color: bool) -> Optional[np.ndarray]: return k4a_module.device_get_ir_image(transform_ir_to_color) @property def sync_jack_status(self) -> Tuple[bool, bool]: res, jack_in, jack_out = k4a_module.device_get_sync_jack() self._verify_error(res) return jack_in == 1, jack_out == 1 def _get_color_control(self, cmd: ColorControlCommand) -> Tuple[int, ColorControlMode]: res, mode, value = k4a_module.device_get_color_control(cmd) self._verify_error(res) return value, ColorControlMode(mode) def _set_color_control(self, cmd: ColorControlCommand, value: int, mode=ColorControlMode.MANUAL): res = k4a_module.device_set_color_control(cmd, mode, value) self._verify_error(res) @property def brightness(self) -> int: return self._get_color_control(ColorControlCommand.BRIGHTNESS)[0] @property def contrast(self) -> int: return self._get_color_control(ColorControlCommand.CONTRAST)[0] @property def saturation(self) -> int: return self._get_color_control(ColorControlCommand.SATURATION)[0] @property def sharpness(self) -> int: return self._get_color_control(ColorControlCommand.SHARPNESS)[0] @property def backlight_compensation(self) -> int: return self._get_color_control(ColorControlCommand.BACKLIGHT_COMPENSATION)[0] @property def gain(self) -> int: return self._get_color_control(ColorControlCommand.GAIN)[0] @property def powerline_frequency(self) -> int: return self._get_color_control(ColorControlCommand.POWERLINE_FREQUENCY)[0] @property def exposure(self) -> int: # sets mode to manual return self._get_color_control(ColorControlCommand.EXPOSURE_TIME_ABSOLUTE)[0] @property def exposure_mode_auto(self) -> bool: return self._get_color_control(ColorControlCommand.EXPOSURE_TIME_ABSOLUTE)[1] == ColorControlMode.AUTO @property def whitebalance(self) -> int: # sets mode to manual return self._get_color_control(ColorControlCommand.WHITEBALANCE)[0] @property def whitebalance_mode_auto(self) -> bool: return self._get_color_control(ColorControlCommand.WHITEBALANCE)[1] == ColorControlMode.AUTO @brightness.setter def brightness(self, value: int): self._set_color_control(ColorControlCommand.BRIGHTNESS, value) @contrast.setter def contrast(self, value: int): self._set_color_control(ColorControlCommand.CONTRAST, value) @saturation.setter def saturation(self, value: int): self._set_color_control(ColorControlCommand.SATURATION, value) @sharpness.setter def sharpness(self, value: int): self._set_color_control(ColorControlCommand.SHARPNESS, value) @backlight_compensation.setter def backlight_compensation(self, value: int): self._set_color_control(ColorControlCommand.BACKLIGHT_COMPENSATION, value) @gain.setter def gain(self, value: int): self._set_color_control(ColorControlCommand.GAIN, value) @powerline_frequency.setter def powerline_frequency(self, value: int): self._set_color_control(ColorControlCommand.POWERLINE_FREQUENCY, value) @exposure.setter def exposure(self, value: int): self._set_color_control(ColorControlCommand.EXPOSURE_TIME_ABSOLUTE, value) @exposure_mode_auto.setter def exposure_mode_auto(self, mode_auto: bool, value=2500): mode = ColorControlMode.AUTO if mode_auto else ColorControlMode.MANUAL self._set_color_control(ColorControlCommand.EXPOSURE_TIME_ABSOLUTE, value=value, mode=mode) @whitebalance.setter def whitebalance(self, value: int): self._set_color_control(ColorControlCommand.WHITEBALANCE, value) @whitebalance_mode_auto.setter def whitebalance_mode_auto(self, mode_auto: bool, value=2500): mode = ColorControlMode.AUTO if mode_auto else ColorControlMode.MANUAL self._set_color_control(ColorControlCommand.WHITEBALANCE, value=value, mode=mode) def _get_color_control_capabilities(self, cmd: ColorControlCommand) -> (bool, int, int, int, int, int): (res, supports_auto, min_value, max_value, step_value, default_value, default_mode) = k4a_module.device_get_color_control_capabilities(cmd) self._verify_error(res) return { "color_control_command": cmd, "supports_auto": supports_auto == 1, "min_value": min_value, "max_value": max_value, "step_value": step_value, "default_value": default_value, "default_mode": default_mode, } def reset_color_control_to_default(self): for cmd in ColorControlCommand: capability = self._get_color_control_capabilities(cmd) self._set_color_control(cmd, capability["default_value"], capability["default_mode"]) @staticmethod def _verify_error(res): res = Result(res) if res == Result.Failed: raise K4AException() elif res == Result.Timeout: raise K4ATimeoutException()

613dca9917ec51818666f3676713d8d46aa071bf

py

Python

my_plugins/youcompleteme/third_party/ycmd/ycmd/request_wrap.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

my_plugins/youcompleteme/third_party/ycmd/ycmd/request_wrap.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

my_plugins/youcompleteme/third_party/ycmd/ycmd/request_wrap.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

# Copyright (C) 2014-2020 ycmd contributors # # This file is part of ycmd. # # ycmd is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # ycmd is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with ycmd. If not, see <http://www.gnu.org/licenses/>. from ycmd.utils import ( ByteOffsetToCodepointOffset, CodepointOffsetToByteOffset, HashableDict, LOGGER, ToUnicode, ToBytes, SplitLines ) from ycmd.identifier_utils import StartOfLongestIdentifierEndingAtIndex from ycmd.request_validation import EnsureRequestValid # TODO: Change the custom computed (and other) keys to be actual properties on # the object. class RequestWrap: def __init__( self, request, validate = True ): if validate: EnsureRequestValid( request ) self._request = request # Maps the keys returned by this objects __getitem__ to a # tuple of # ( getter_method, setter_method ). Values computed by getter_method (or set # by setter_method) are cached in _cached_computed. setter_method may be # None for read-only items. self._computed_key = { # Unicode string representation of the current line. If the line requested # is not in the file, returns ''. 'line_value': ( self._CurrentLine, None ), # The calculated start column, as a codepoint offset into the # unicode string line_value 'start_codepoint': ( self._GetCompletionStartCodepoint, self._SetCompletionStartCodepoint ), # The 'column_num' as a unicode codepoint offset 'column_codepoint': ( lambda: ByteOffsetToCodepointOffset( self[ 'line_bytes' ], self[ 'column_num' ] ), None ), # Bytes string representation of the current line 'line_bytes': ( lambda: ToBytes( self[ 'line_value' ] ), None ), # The calculated start column, as a byte offset into the UTF-8 encoded # bytes returned by line_bytes 'start_column': ( self._GetCompletionStartColumn, self._SetCompletionStartColumn ), # Note: column_num is the byte offset into the UTF-8 encoded bytes # returned by line_bytes # unicode string representation of the 'query' after the beginning # of the identifier to be completed 'query': ( self._Query, None ), # Unicode string representation of the line value up to the character # before the start of 'query' 'prefix': ( self._Prefix, None ), 'filetypes': ( self._Filetypes, None ), 'first_filetype': ( self._FirstFiletype, None ), 'force_semantic': ( self._GetForceSemantic, None ), 'lines': ( self._CurrentLines, None ), 'extra_conf_data': ( self._GetExtraConfData, None ), } self._cached_computed = {} def __getitem__( self, key ): if key in self._cached_computed: return self._cached_computed[ key ] if key in self._computed_key: getter, _ = self._computed_key[ key ] value = getter() self._cached_computed[ key ] = value return value return self._request[ key ] def __setitem__( self, key, value ): if key in self._computed_key: _, setter = self._computed_key[ key ] if setter: setter( value ) return raise ValueError( f'Key "{ key }" is read-only' ) def __contains__( self, key ): return key in self._computed_key or key in self._request def __eq__( self, other ): if ( self[ 'filepath' ] != other[ 'filepath' ] or self[ 'filetypes' ] != other[ 'filetypes' ] or self[ 'line_num' ] != other[ 'line_num' ] or self[ 'start_column' ] != other[ 'start_column' ] or self[ 'prefix' ] != other[ 'prefix' ] or self[ 'force_semantic' ] != other[ 'force_semantic' ] or self[ 'extra_conf_data' ] != other[ 'extra_conf_data' ] or len( self[ 'file_data' ] ) != len( other[ 'file_data' ] ) ): return False for filename, file_data in self[ 'file_data' ].items(): if filename == self[ 'filepath' ]: lines = self[ 'lines' ] other_lines = other[ 'lines' ] if len( lines ) != len( other_lines ): return False line_num = self[ 'line_num' ] if ( lines[ : line_num - 1 ] != other_lines[ : line_num - 1 ] or lines[ line_num : ] != other_lines[ line_num : ] ): return False elif ( filename not in other[ 'file_data' ] or file_data != other[ 'file_data' ][ filename ] ): return False return True def get( self, key, default = None ): try: return self[ key ] except KeyError: return default def _CurrentLines( self ): current_file = self[ 'filepath' ] contents = self[ 'file_data' ][ current_file ][ 'contents' ] return SplitLines( contents ) def _CurrentLine( self ): try: return self[ 'lines' ][ self[ 'line_num' ] - 1 ] except IndexError: LOGGER.exception( 'Client returned invalid line number %s ' 'for file %s. Assuming empty', self[ 'line_num' ], self[ 'filepath' ] ) return '' def _GetCompletionStartColumn( self ): return CompletionStartColumn( self[ 'line_value' ], self[ 'column_num' ], self[ 'first_filetype' ] ) def _SetCompletionStartColumn( self, column_num ): self._cached_computed[ 'start_column' ] = column_num # Note: We must pre-compute (and cache) the codepoint equivalent. This is # because the value calculated by the getter (_GetCompletionStartCodepoint) # would be based on self[ 'column_codepoint' ] which would be incorrect; it # does not know that the user has forced this value to be independent of the # column. self._cached_computed[ 'start_codepoint' ] = ByteOffsetToCodepointOffset( self[ 'line_value' ], column_num ) # The same applies to the 'prefix' (the bit before the start column) and the # 'query' (the bit after the start column up to the cursor column). They are # dependent on the 'start_codepoint' so we must reset them. self._cached_computed.pop( 'prefix', None ) self._cached_computed.pop( 'query', None ) def _GetCompletionStartCodepoint( self ): return CompletionStartCodepoint( self[ 'line_value' ], self[ 'column_num' ], self[ 'first_filetype' ] ) def _SetCompletionStartCodepoint( self, codepoint_offset ): self._cached_computed[ 'start_codepoint' ] = codepoint_offset # Note: We must pre-compute (and cache) the byte equivalent. This is because # the value calculated by the getter (_GetCompletionStartColumn) would be # based on self[ 'column_num' ], which would be incorrect; it does not know # that the user has forced this value to be independent of the column. self._cached_computed[ 'start_column' ] = CodepointOffsetToByteOffset( self[ 'line_value' ], codepoint_offset ) # The same applies to the 'prefix' (the bit before the start column) and the # 'query' (the bit after the start column up to the cursor column). They are # dependent on the 'start_codepoint' so we must reset them. self._cached_computed.pop( 'prefix', None ) self._cached_computed.pop( 'query', None ) def _Query( self ): return self[ 'line_value' ][ self[ 'start_codepoint' ] - 1 : self[ 'column_codepoint' ] - 1 ] def _Prefix( self ): return self[ 'line_value' ][ : ( self[ 'start_codepoint' ] - 1 ) ] def _FirstFiletype( self ): try: return self[ 'filetypes' ][ 0 ] except ( KeyError, IndexError ): return None def _Filetypes( self ): path = self[ 'filepath' ] return self[ 'file_data' ][ path ][ 'filetypes' ] def _GetForceSemantic( self ): return bool( self._request.get( 'force_semantic', False ) ) def _GetExtraConfData( self ): return HashableDict( self._request.get( 'extra_conf_data', {} ) ) def CompletionStartColumn( line_value, column_num, filetype ): """Returns the 1-based byte index where the completion query should start. So if the user enters: foo.bar^ with the cursor being at the location of the caret (so the character *AFTER* 'r'), then the starting column would be the index of the letter 'b'. NOTE: if the line contains multi-byte characters, then the result is not the 'character' index (see CompletionStartCodepoint for that), and therefore it is not safe to perform any character-relevant arithmetic on the result of this method.""" return CodepointOffsetToByteOffset( ToUnicode( line_value ), CompletionStartCodepoint( line_value, column_num, filetype ) ) def CompletionStartCodepoint( line_value, column_num, filetype ): """Returns the 1-based codepoint index where the completion query should start. So if the user enters: ƒøø.∫å®^ with the cursor being at the location of the caret (so the character *AFTER* '®'), then the starting column would be the index of the character '∫' (i.e. 5, not its byte index).""" # NOTE: column_num and other numbers on the wire are byte indices, but we need # to walk codepoints for identifier checks. codepoint_column_num = ByteOffsetToCodepointOffset( line_value, column_num ) unicode_line_value = ToUnicode( line_value ) # -1 and then +1 to account for difference between 0-based and 1-based # indices/columns codepoint_start_column = StartOfLongestIdentifierEndingAtIndex( unicode_line_value, codepoint_column_num - 1, filetype ) + 1 return codepoint_start_column

a5ee6a540775fe729a045b264bb72f276362042b

py

Python

aliyun-python-sdk-hbr/aliyunsdkhbr/request/v20170908/UpdateBackupSourceGroupRequest.py

liumihust/aliyun-openapi-python-sdk

c7b5dd4befae4b9c59181654289f9272531207ef

aliyun-python-sdk-hbr/aliyunsdkhbr/request/v20170908/UpdateBackupSourceGroupRequest.py

liumihust/aliyun-openapi-python-sdk

c7b5dd4befae4b9c59181654289f9272531207ef

2020-05-31T14:51:47.000Z

2020-05-31T14:51:47.000Z

aliyun-python-sdk-hbr/aliyunsdkhbr/request/v20170908/UpdateBackupSourceGroupRequest.py

liumihust/aliyun-openapi-python-sdk

c7b5dd4befae4b9c59181654289f9272531207ef

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # # http://www.apache.org/licenses/LICENSE-2.0 # # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from aliyunsdkcore.request import RpcRequest class UpdateBackupSourceGroupRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'hbr', '2017-09-08', 'UpdateBackupSourceGroup','hbr') def get_BackupSources(self): return self.get_query_params().get('BackupSources') def set_BackupSources(self,BackupSources): for i in range(len(BackupSources)): if BackupSources[i].get('BackupSourceId') is not None: self.add_query_param('BackupSource.' + str(i + 1) + '.BackupSourceId' , BackupSources[i].get('BackupSourceId')) if BackupSources[i].get('DatabaseName') is not None: self.add_query_param('BackupSource.' + str(i + 1) + '.DatabaseName' , BackupSources[i].get('DatabaseName')) if BackupSources[i].get('Description') is not None: self.add_query_param('BackupSource.' + str(i + 1) + '.Description' , BackupSources[i].get('Description')) if BackupSources[i].get('ClusterId') is not None: self.add_query_param('BackupSource.' + str(i + 1) + '.ClusterId' , BackupSources[i].get('ClusterId')) def get_ImplicitlyCreateBackupSources(self): return self.get_query_params().get('ImplicitlyCreateBackupSources') def set_ImplicitlyCreateBackupSources(self,ImplicitlyCreateBackupSources): self.add_query_param('ImplicitlyCreateBackupSources',ImplicitlyCreateBackupSources) def get_BackupSourceIds(self): return self.get_query_params().get('BackupSourceIds') def set_BackupSourceIds(self,BackupSourceIds): for i in range(len(BackupSourceIds)): if BackupSourceIds[i] is not None: self.add_query_param('BackupSourceId.' + str(i + 1) , BackupSourceIds[i]); def get_Description(self): return self.get_query_params().get('Description') def set_Description(self,Description): self.add_query_param('Description',Description) def get_BackupSourceGroupId(self): return self.get_query_params().get('BackupSourceGroupId') def set_BackupSourceGroupId(self,BackupSourceGroupId): self.add_query_param('BackupSourceGroupId',BackupSourceGroupId)

284c5390604afef5813e1aa93a93a936bcc25a35

py

Python

salt/utils/parsers.py

lyft/salt

2715908423a412f736253d0e5d3cfe185a0179a2

2015-04-16T18:42:35.000Z

2017-10-30T16:57:49.000Z

salt/utils/parsers.py

lyft/salt

2715908423a412f736253d0e5d3cfe185a0179a2

2015-11-18T00:44:03.000Z

2018-10-29T20:48:27.000Z

salt/utils/parsers.py

lyft/salt

2715908423a412f736253d0e5d3cfe185a0179a2

2017-01-27T21:33:36.000Z

2017-01-27T21:33:36.000Z

# -*- coding: utf-8 -*- ''' :codeauthor: :email:`Pedro Algarvio ([email protected])` salt.utils.parsers ~~~~~~~~~~~~~~~~~~ This is where all the black magic happens on all of salt's CLI tools. ''' # Import python libs from __future__ import absolute_import, print_function import os import sys import getpass import logging import optparse import traceback from functools import partial # Import 3rd-party libs import salt.ext.six as six # Import salt libs import salt.config as config import salt.defaults.exitcodes import salt.loader as loader import salt.log.setup as log import salt.syspaths as syspaths import salt.utils as utils import salt.version as version import salt.utils.args import salt.utils.xdg from salt.utils import kinds from salt.defaults import DEFAULT_TARGET_DELIM from salt.utils.validate.path import is_writeable def _sorted(mixins_or_funcs): return sorted( mixins_or_funcs, key=lambda mf: getattr(mf, '_mixin_prio_', 1000) ) class MixInMeta(type): # This attribute here won't actually do anything. But, if you need to # specify an order or a dependency within the mix-ins, please define the # attribute on your own MixIn _mixin_prio_ = 0 def __new__(mcs, name, bases, attrs): instance = super(MixInMeta, mcs).__new__(mcs, name, bases, attrs) if not hasattr(instance, '_mixin_setup'): raise RuntimeError( 'Don\'t subclass {0} in {1} if you\'re not going to use it ' 'as a salt parser mix-in.'.format(mcs.__name__, name) ) return instance class OptionParserMeta(MixInMeta): def __new__(mcs, name, bases, attrs): instance = super(OptionParserMeta, mcs).__new__(mcs, name, bases, attrs) if not hasattr(instance, '_mixin_setup_funcs'): instance._mixin_setup_funcs = [] if not hasattr(instance, '_mixin_process_funcs'): instance._mixin_process_funcs = [] if not hasattr(instance, '_mixin_after_parsed_funcs'): instance._mixin_after_parsed_funcs = [] for base in _sorted(bases + (instance,)): func = getattr(base, '_mixin_setup', None) if func is not None and func not in instance._mixin_setup_funcs: instance._mixin_setup_funcs.append(func) func = getattr(base, '_mixin_after_parsed', None) if func is not None and func not in \ instance._mixin_after_parsed_funcs: instance._mixin_after_parsed_funcs.append(func) # Mark process_<opt> functions with the base priority for sorting for func in dir(base): if not func.startswith('process_'): continue func = getattr(base, func) if getattr(func, '_mixin_prio_', None) is not None: # Function already has the attribute set, don't override it continue if six.PY2: func.__func__._mixin_prio_ = getattr( base, '_mixin_prio_', 1000 ) else: func._mixin_prio_ = getattr( base, '_mixin_prio_', 1000 ) return instance class OptionParser(optparse.OptionParser, object): VERSION = version.__saltstack_version__.formatted_version usage = '%prog' epilog = ('You can find additional help about %prog issuing "man %prog" ' 'or on http://docs.saltstack.org') description = None # Private attributes _mixin_prio_ = 100 def __init__(self, *args, **kwargs): kwargs.setdefault('version', '%prog {0}'.format(self.VERSION)) kwargs.setdefault('usage', self.usage) if self.description: kwargs.setdefault('description', self.description) if self.epilog: kwargs.setdefault('epilog', self.epilog) optparse.OptionParser.__init__(self, *args, **kwargs) if self.epilog and '%prog' in self.epilog: self.epilog = self.epilog.replace('%prog', self.get_prog_name()) def parse_args(self, args=None, values=None): options, args = optparse.OptionParser.parse_args(self, args, values) if 'args_stdin' in options.__dict__ and options.args_stdin is True: # Read additional options and/or arguments from stdin and combine # them with the options and arguments from the command line. new_inargs = sys.stdin.readlines() new_inargs = [arg.rstrip('\r\n') for arg in new_inargs] new_options, new_args = optparse.OptionParser.parse_args( self, new_inargs) options.__dict__.update(new_options.__dict__) args.extend(new_args) if options.versions_report: self.print_versions_report() self.options, self.args = options, args # Let's get some proper sys.stderr logging as soon as possible!!! # This logging handler will be removed once the proper console or # logfile logging is setup. log.setup_temp_logger( getattr(self.options, 'log_level', 'error') ) # Gather and run the process_<option> functions in the proper order process_option_funcs = [] for option_key in options.__dict__: process_option_func = getattr( self, 'process_{0}'.format(option_key), None ) if process_option_func is not None: process_option_funcs.append(process_option_func) for process_option_func in _sorted(process_option_funcs): try: process_option_func() except Exception as err: logging.getLogger(__name__).exception(err) self.error( 'Error while processing {0}: {1}'.format( process_option_func, traceback.format_exc(err) ) ) # Run the functions on self._mixin_after_parsed_funcs for mixin_after_parsed_func in self._mixin_after_parsed_funcs: try: mixin_after_parsed_func(self) except Exception as err: logging.getLogger(__name__).exception(err) self.error( 'Error while processing {0}: {1}'.format( mixin_after_parsed_func, traceback.format_exc(err) ) ) if self.config.get('conf_file', None) is not None: logging.getLogger(__name__).debug( 'Configuration file path: {0}'.format( self.config['conf_file'] ) ) # Retain the standard behavior of optparse to return options and args return options, args def _populate_option_list(self, option_list, add_help=True): optparse.OptionParser._populate_option_list( self, option_list, add_help=add_help ) for mixin_setup_func in self._mixin_setup_funcs: mixin_setup_func(self) def _add_version_option(self): optparse.OptionParser._add_version_option(self) self.add_option( '--versions-report', action='store_true', help='show program\'s dependencies version number and exit' ) def print_versions_report(self, file=sys.stdout): print('\n'.join(version.versions_report()), file=file) self.exit(salt.defaults.exitcodes.EX_OK) class MergeConfigMixIn(six.with_metaclass(MixInMeta, object)): ''' This mix-in will simply merge the CLI-passed options, by overriding the configuration file loaded settings. This mix-in should run last. ''' _mixin_prio_ = six.MAXSIZE def _mixin_setup(self): if not hasattr(self, 'setup_config') and not hasattr(self, 'config'): # No configuration was loaded on this parser. # There's nothing to do here. return # Add an additional function that will merge the shell options with # the config options and if needed override them self._mixin_after_parsed_funcs.append(self.__merge_config_with_cli) def __merge_config_with_cli(self, *args): # Merge parser options for option in self.option_list: if option.dest is None: # --version does not have dest attribute set for example. # All options defined by us, even if not explicitly(by kwarg), # will have the dest attribute set continue # Get the passed value from shell. If empty get the default one default = self.defaults.get(option.dest) value = getattr(self.options, option.dest, default) if option.dest not in self.config: # There's no value in the configuration file if value is not None: # There's an actual value, add it to the config self.config[option.dest] = value elif value is not None and value != default: # Only set the value in the config file IF it's not the default # value, this makes it possible to tweak settings on the # configuration files bypassing the shell option flags self.config[option.dest] = value elif option.dest in self.config: # Let's update the option value with the one from the # configuration file. This allows the parsers to make use of # the updated value by using self.options.<option> setattr(self.options, option.dest, self.config[option.dest]) # Merge parser group options if any for group in self.option_groups: for option in group.option_list: if option.dest is None: continue # Get the passed value from shell. If empty get the default one default = self.defaults.get(option.dest) value = getattr(self.options, option.dest, default) if option.dest not in self.config: # There's no value in the configuration file if value is not None: # There's an actual value, add it to the config self.config[option.dest] = value elif value is not None and value != default: # Only set the value in the config file IF it's not the # default value, this makes it possible to tweak settings # on the configuration files bypassing the shell option # flags self.config[option.dest] = value elif option.dest in self.config: # Let's update the option value with the one from the # configuration file. This allows the parsers to make use # of the updated value by using self.options.<option> setattr(self.options, option.dest, self.config[option.dest]) class SaltfileMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = -20 def _mixin_setup(self): self.add_option( '--saltfile', default=None, help='Specify the path to a Saltfile. If not passed, one will be ' 'searched for in the current working directory' ) def process_saltfile(self): if self.options.saltfile is None: # No one passed a Saltfile as an option, environment variable!? self.options.saltfile = os.environ.get('SALT_SALTFILE', None) if self.options.saltfile is None: # If we're here, no one passed a Saltfile either to the CLI tool or # as an environment variable. # Is there a Saltfile in the current directory? try: # cwd may not exist if it was removed but salt was run from it saltfile = os.path.join(os.getcwd(), 'Saltfile') except OSError: saltfile = '' if os.path.isfile(saltfile): self.options.saltfile = saltfile else: saltfile = self.options.saltfile if not self.options.saltfile: # There's still no valid Saltfile? No need to continue... return if not os.path.isfile(self.options.saltfile): self.error( '{0!r} file does not exist.\n'.format(self.options.saltfile ) ) # Make sure we have an absolute path self.options.saltfile = os.path.abspath(self.options.saltfile) # Make sure we let the user know that we will be loading a Saltfile logging.getLogger(__name__).info( 'Loading Saltfile from {0!r}'.format(self.options.saltfile) ) saltfile_config = config._read_conf_file(saltfile) if not saltfile_config: # No configuration was loaded from the Saltfile return if self.get_prog_name() not in saltfile_config: # There's no configuration specific to the CLI tool. Stop! return # We just want our own configuration cli_config = saltfile_config[self.get_prog_name()] # If there are any options, who's names match any key from the loaded # Saltfile, we need to update its default value for option in self.option_list: if option.dest is None: # --version does not have dest attribute set for example. continue if option.dest not in cli_config: # If we don't have anything in Saltfile for this option, let's # continue processing right now continue # Get the passed value from shell. If empty get the default one default = self.defaults.get(option.dest) value = getattr(self.options, option.dest, default) if value != default: # The user passed an argument, we won't override it with the # one from Saltfile, if any continue # We reached this far! Set the Saltfile value on the option setattr(self.options, option.dest, cli_config[option.dest]) # Let's also search for options referred in any option groups for group in self.option_groups: for option in group.option_list: if option.dest is None: continue if option.dest not in cli_config: # If we don't have anything in Saltfile for this option, # let's continue processing right now continue # Get the passed value from shell. If empty get the default one default = self.defaults.get(option.dest) value = getattr(self.options, option.dest, default) if value != default: # The user passed an argument, we won't override it with # the one from Saltfile, if any continue if option.dest in cli_config: setattr(self.options, option.dest, cli_config[option.dest]) # Any left over value in the saltfile can now be safely added for key in cli_config: setattr(self.options, key, cli_config[key]) class HardCrashMixin(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 40 _config_filename_ = None def _mixin_setup(self): hc = os.environ.get('SALT_HARD_CRASH', False) self.add_option( '--hard-crash', action='store_true', default=hc, help=('Raise any original exception rather than exiting gracefully' ' Default: %default') ) class ConfigDirMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = -10 _config_filename_ = None _default_config_dir_ = syspaths.CONFIG_DIR _default_config_dir_env_var_ = 'SALT_CONFIG_DIR' def _mixin_setup(self): config_dir = os.environ.get(self._default_config_dir_env_var_, None) if not config_dir: config_dir = self._default_config_dir_ logging.getLogger(__name__).debug('SYSPATHS setup as: {0}'.format(syspaths.CONFIG_DIR)) self.add_option( '-c', '--config-dir', default=config_dir, help=('Pass in an alternative configuration directory. Default: ' '%default') ) def process_config_dir(self): if not os.path.isdir(self.options.config_dir): # No logging is configured yet sys.stderr.write( 'WARNING: CONFIG {0!r} directory does not exist.\n'.format( self.options.config_dir ) ) # Make sure we have an absolute path self.options.config_dir = os.path.abspath(self.options.config_dir) if hasattr(self, 'setup_config'): if not hasattr(self, 'config'): self.config = {} try: self.config.update(self.setup_config()) except (IOError, OSError) as exc: self.error( 'Failed to load configuration: {0}'.format(exc) ) def get_config_file_path(self, configfile=None): if configfile is None: configfile = self._config_filename_ return os.path.join(self.options.config_dir, configfile) class LogLevelMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 10 _default_logging_level_ = 'warning' _default_logging_logfile_ = None _logfile_config_setting_name_ = 'log_file' _loglevel_config_setting_name_ = 'log_level' _logfile_loglevel_config_setting_name_ = 'log_level_logfile' _skip_console_logging_config_ = False def _mixin_setup(self): if self._default_logging_logfile_ is None: # This is an attribute available for programmers, so, raise a # RuntimeError to let them know about the proper usage. raise RuntimeError( 'Please set {0}._default_logging_logfile_'.format( self.__class__.__name__ ) ) group = self.logging_options_group = optparse.OptionGroup( self, 'Logging Options', 'Logging options which override any settings defined on the ' 'configuration files.' ) self.add_option_group(group) if not getattr(self, '_skip_console_logging_config_', False): group.add_option( '-l', '--log-level', choices=list(log.LOG_LEVELS), help='Console logging log level. One of {0}. ' 'Default: \'{1}\'.'.format( ', '.join([repr(l) for l in log.SORTED_LEVEL_NAMES]), getattr(self, '_default_logging_level_', 'warning') ) ) group.add_option( '--log-file', default=None, help='Log file path. Default: {0}.'.format( self._default_logging_logfile_ ) ) group.add_option( '--log-file-level', dest=self._logfile_loglevel_config_setting_name_, choices=list(log.LOG_LEVELS), help='Logfile logging log level. One of {0}. ' 'Default: \'{1}\'.'.format( ', '.join([repr(l) for l in log.SORTED_LEVEL_NAMES]), getattr(self, '_default_logging_level_', 'warning') ) ) def process_log_level(self): if not self.options.log_level: cli_log_level = 'cli_{0}_log_level'.format( self.get_prog_name().replace('-', '_') ) if self.config.get(cli_log_level, None) is not None: self.options.log_level = self.config.get(cli_log_level) elif self.config.get(self._loglevel_config_setting_name_, None): self.options.log_level = self.config.get( self._loglevel_config_setting_name_ ) else: self.options.log_level = self._default_logging_level_ # Setup extended logging right before the last step self._mixin_after_parsed_funcs.append(self.__setup_extended_logging) # Setup the console as the last _mixin_after_parsed_func to run self._mixin_after_parsed_funcs.append(self.__setup_console_logger) def process_log_file(self): if not self.options.log_file: cli_setting_name = 'cli_{0}_log_file'.format( self.get_prog_name().replace('-', '_') ) if self.config.get(cli_setting_name, None) is not None: # There's a configuration setting defining this log file path, # i.e., `key_log_file` if the cli tool is `salt-key` self.options.log_file = self.config.get(cli_setting_name) elif self.config.get(self._logfile_config_setting_name_, None): # Is the regular log file setting set? self.options.log_file = self.config.get( self._logfile_config_setting_name_ ) else: # Nothing is set on the configuration? Let's use the cli tool # defined default self.options.log_file = self._default_logging_logfile_ def process_log_file_level(self): if not self.options.log_file_level: cli_setting_name = 'cli_{0}_log_file_level'.format( self.get_prog_name().replace('-', '_') ) if self.config.get(cli_setting_name, None) is not None: # There's a configuration setting defining this log file # logging level, i.e., `key_log_file_level` if the cli tool is # `salt-key` self.options.log_file_level = self.config.get(cli_setting_name) elif self.config.get( self._logfile_loglevel_config_setting_name_, None): # Is the regular log file level setting set? self.options.log_file_level = self.config.get( self._logfile_loglevel_config_setting_name_ ) else: # Nothing is set on the configuration? Let's use the cli tool # defined default self.options.log_level = self._default_logging_level_ def setup_logfile_logger(self): if self._logfile_loglevel_config_setting_name_ in self.config and not \ self.config.get(self._logfile_loglevel_config_setting_name_): # Remove it from config so it inherits from log_level self.config.pop(self._logfile_loglevel_config_setting_name_) loglevel = self.config.get( self._logfile_loglevel_config_setting_name_, self.config.get( # From the config setting self._loglevel_config_setting_name_, # From the console setting self.config['log_level'] ) ) cli_log_path = 'cli_{0}_log_file'.format( self.get_prog_name().replace('-', '_') ) if cli_log_path in self.config and not self.config.get(cli_log_path): # Remove it from config so it inherits from log_level_logfile self.config.pop(cli_log_path) if self._logfile_config_setting_name_ in self.config and not \ self.config.get(self._logfile_config_setting_name_): # Remove it from config so it inherits from log_file self.config.pop(self._logfile_config_setting_name_) logfile = self.config.get( # First from the config cli setting cli_log_path, self.config.get( # From the config setting self._logfile_config_setting_name_, # From the default setting self._default_logging_logfile_ ) ) cli_log_file_fmt = 'cli_{0}_log_file_fmt'.format( self.get_prog_name().replace('-', '_') ) if cli_log_file_fmt in self.config and not \ self.config.get(cli_log_file_fmt): # Remove it from config so it inherits from log_fmt_logfile self.config.pop(cli_log_file_fmt) if self.config.get('log_fmt_logfile', None) is None: # Remove it from config so it inherits from log_fmt_console self.config.pop('log_fmt_logfile', None) log_file_fmt = self.config.get( cli_log_file_fmt, self.config.get( 'cli_{0}_log_fmt'.format( self.get_prog_name().replace('-', '_') ), self.config.get( 'log_fmt_logfile', self.config.get( 'log_fmt_console', self.config.get( 'log_fmt', config._DFLT_LOG_FMT_CONSOLE ) ) ) ) ) cli_log_file_datefmt = 'cli_{0}_log_file_datefmt'.format( self.get_prog_name().replace('-', '_') ) if cli_log_file_datefmt in self.config and not \ self.config.get(cli_log_file_datefmt): # Remove it from config so it inherits from log_datefmt_logfile self.config.pop(cli_log_file_datefmt) if self.config.get('log_datefmt_logfile', None) is None: # Remove it from config so it inherits from log_datefmt_console self.config.pop('log_datefmt_logfile', None) if self.config.get('log_datefmt_console', None) is None: # Remove it from config so it inherits from log_datefmt self.config.pop('log_datefmt_console', None) log_file_datefmt = self.config.get( cli_log_file_datefmt, self.config.get( 'cli_{0}_log_datefmt'.format( self.get_prog_name().replace('-', '_') ), self.config.get( 'log_datefmt_logfile', self.config.get( 'log_datefmt_console', self.config.get( 'log_datefmt', '%Y-%m-%d %H:%M:%S' ) ) ) ) ) if not is_writeable(logfile, check_parent=True): # Since we're not be able to write to the log file or its parent # directory (if the log file does not exit), are we the same user # as the one defined in the configuration file? current_user = salt.utils.get_user() if self.config['user'] != current_user: # Yep, not the same user! # Is the current user in ACL? if current_user in self.config.get('client_acl', {}): # Yep, the user is in ACL! # Let's write the logfile to its home directory instead. xdg_dir = salt.utils.xdg.xdg_config_dir() user_salt_dir = (xdg_dir if os.path.isdir(xdg_dir) else os.path.expanduser('~/.salt')) if not os.path.isdir(user_salt_dir): os.makedirs(user_salt_dir, 0o750) logfile_basename = os.path.basename( self._default_logging_logfile_ ) logging.getLogger(__name__).debug( 'The user {0!r} is not allowed to write to {1!r}. ' 'The log file will be stored in ' '\'~/.salt/{2!r}.log\''.format( current_user, logfile, logfile_basename ) ) logfile = os.path.join( user_salt_dir, '{0}.log'.format(logfile_basename) ) # If we haven't changed the logfile path and it's not writeable, # salt will fail once we try to setup the logfile logging. log.setup_logfile_logger( logfile, loglevel, log_format=log_file_fmt, date_format=log_file_datefmt ) for name, level in six.iteritems(self.config['log_granular_levels']): log.set_logger_level(name, level) def __setup_extended_logging(self, *args): log.setup_extended_logging(self.config) def __setup_console_logger(self, *args): # If daemon is set force console logger to quiet if getattr(self.options, 'daemon', False) is True: return # Since we're not going to be a daemon, setup the console logger cli_log_fmt = 'cli_{0}_log_fmt'.format( self.get_prog_name().replace('-', '_') ) if cli_log_fmt in self.config and not self.config.get(cli_log_fmt): # Remove it from config so it inherits from log_fmt_console self.config.pop(cli_log_fmt) logfmt = self.config.get( cli_log_fmt, self.config.get( 'log_fmt_console', self.config.get( 'log_fmt', config._DFLT_LOG_FMT_CONSOLE ) ) ) cli_log_datefmt = 'cli_{0}_log_datefmt'.format( self.get_prog_name().replace('-', '_') ) if cli_log_datefmt in self.config and not \ self.config.get(cli_log_datefmt): # Remove it from config so it inherits from log_datefmt_console self.config.pop(cli_log_datefmt) if self.config.get('log_datefmt_console', None) is None: # Remove it from config so it inherits from log_datefmt self.config.pop('log_datefmt_console', None) datefmt = self.config.get( cli_log_datefmt, self.config.get( 'log_datefmt_console', self.config.get( 'log_datefmt', '%Y-%m-%d %H:%M:%S' ) ) ) log.setup_console_logger( self.config['log_level'], log_format=logfmt, date_format=datefmt ) for name, level in six.iteritems(self.config['log_granular_levels']): log.set_logger_level(name, level) class RunUserMixin(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 20 def _mixin_setup(self): self.add_option( '-u', '--user', help='Specify user to run {0}'.format(self.get_prog_name()) ) class DaemonMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 30 def _mixin_setup(self): self.add_option( '-d', '--daemon', default=False, action='store_true', help='Run the {0} as a daemon'.format(self.get_prog_name()) ) def daemonize_if_required(self): if self.options.daemon: # Late import so logging works correctly import salt.utils salt.utils.daemonize() class PidfileMixin(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 40 def _mixin_setup(self): self.add_option( '--pid-file', dest='pidfile', default=os.path.join( syspaths.PIDFILE_DIR, '{0}.pid'.format(self.get_prog_name()) ), help=('Specify the location of the pidfile. Default: %default') ) def set_pidfile(self): from salt.utils.process import set_pidfile set_pidfile(self.config['pidfile'], self.config['user']) class TargetOptionsMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 20 selected_target_option = None def _mixin_setup(self): group = self.target_options_group = optparse.OptionGroup( self, 'Target Options', 'Target Selection Options' ) self.add_option_group(group) group.add_option( '-E', '--pcre', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'servers, use pcre regular expressions') ) group.add_option( '-L', '--list', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'servers, take a comma or space delimited list of ' 'servers.') ) group.add_option( '-G', '--grain', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use a grain value to identify targets, the syntax ' 'for the target is the grain key followed by a glob' 'expression:\n"os:Arch*"') ) group.add_option( '-P', '--grain-pcre', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use a grain value to identify targets, the syntax ' 'for the target is the grain key followed by a pcre ' 'regular expression:\n"os:Arch.*"') ) group.add_option( '-N', '--nodegroup', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use one of the predefined nodegroups to identify a ' 'list of targets.') ) group.add_option( '-R', '--range', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use a range expression to identify targets. ' 'Range expressions look like %cluster') ) group = self.additional_target_options_group = optparse.OptionGroup( self, 'Additional Target Options', 'Additional Options for Minion Targeting' ) self.add_option_group(group) group.add_option( '--delimiter', default=DEFAULT_TARGET_DELIM, help=('Change the default delimiter for matching in multi-level ' 'data structures. default=\'%default\'') ) self._create_process_functions() def _create_process_functions(self): for option in self.target_options_group.option_list: def process(opt): if getattr(self.options, opt.dest): self.selected_target_option = opt.dest funcname = 'process_{0}'.format(option.dest) if not hasattr(self, funcname): setattr(self, funcname, partial(process, option)) def _mixin_after_parsed(self): group_options_selected = [ option for option in self.target_options_group.option_list if getattr(self.options, option.dest) is True ] if len(group_options_selected) > 1: self.error( 'The options {0} are mutually exclusive. Please only choose ' 'one of them'.format('/'.join( [option.get_opt_string() for option in group_options_selected])) ) self.config['selected_target_option'] = self.selected_target_option class ExtendedTargetOptionsMixIn(TargetOptionsMixIn): def _mixin_setup(self): TargetOptionsMixIn._mixin_setup(self) group = self.target_options_group group.add_option( '-C', '--compound', default=False, action='store_true', help=('The compound target option allows for multiple target ' 'types to be evaluated, allowing for greater granularity in ' 'target matching. The compound target is space delimited, ' 'targets other than globs are preceded with an identifier ' 'matching the specific targets argument type: salt ' '\'G@os:RedHat and webser* or E@database.*\'') ) group.add_option( '-I', '--pillar', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use a pillar value to identify targets, the syntax ' 'for the target is the pillar key followed by a glob ' 'expression:\n"role:production*"') ) group.add_option( '-J', '--pillar-pcre', default=False, action='store_true', help=('Instead of using shell globs to evaluate the target ' 'use a pillar value to identify targets, the syntax ' 'for the target is the pillar key followed by a pcre ' 'regular expression:\n"role:prod.*"') ) group.add_option( '-S', '--ipcidr', default=False, action='store_true', help=('Match based on Subnet (CIDR notation) or IP address.') ) self._create_process_functions() class TimeoutMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 10 def _mixin_setup(self): if not hasattr(self, 'default_timeout'): raise RuntimeError( 'You need to define the \'default_timeout\' attribute ' 'on {0}'.format(self.__class__.__name__) ) self.add_option( '-t', '--timeout', type=int, default=self.default_timeout, help=('Change the timeout, if applicable, for the running ' 'command (in seconds); default=%default') ) class ArgsStdinMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 10 def _mixin_setup(self): self.add_option( '--args-stdin', default=False, dest='args_stdin', action='store_true', help=('Read additional options and/or arguments from stdin. ' 'Each entry is newline separated.') ) class ProxyIdMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio = 40 def _mixin_setup(self): self.add_option( '--proxyid', default=None, dest='proxyid', help=('Id for this proxy') ) class OutputOptionsMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 40 _include_text_out_ = False selected_output_option = None def _mixin_setup(self): group = self.output_options_group = optparse.OptionGroup( self, 'Output Options', 'Configure your preferred output format' ) self.add_option_group(group) outputters = loader.outputters( config.minion_config(None) ) group.add_option( '--out', '--output', dest='output', help=( 'Print the output from the {0!r} command using the ' 'specified outputter. The builtins are {1}.'.format( self.get_prog_name(), ', '.join([repr(k) for k in outputters]) ) ) ) group.add_option( '--out-indent', '--output-indent', dest='output_indent', default=None, type=int, help=('Print the output indented by the provided value in spaces. ' 'Negative values disables indentation. Only applicable in ' 'outputters that support indentation.') ) group.add_option( '--out-file', '--output-file', dest='output_file', default=None, help='Write the output to the specified file' ) group.add_option( '--out-file-append', '--output-file-append', action='store_true', dest='output_file_append', default=False, help='Append the output to the specified file' ) group.add_option( '--no-color', '--no-colour', default=False, action='store_true', help='Disable all colored output' ) group.add_option( '--force-color', '--force-colour', default=False, action='store_true', help='Force colored output' ) group.add_option( '--state-output', '--state_output', default='full', help=('Override the configured state_output value for minion ' 'output. One of full, terse, mixed, changes or filter. ' 'Default: full.') ) for option in self.output_options_group.option_list: def process(opt): default = self.defaults.get(opt.dest) if getattr(self.options, opt.dest, default) is False: return self.selected_output_option = opt.dest funcname = 'process_{0}'.format(option.dest) if not hasattr(self, funcname): setattr(self, funcname, partial(process, option)) def process_output(self): self.selected_output_option = self.options.output def process_output_file(self): if self.options.output_file is not None and self.options.output_file_append is False: if os.path.isfile(self.options.output_file): try: with utils.fopen(self.options.output_file, 'w') as ofh: # Make this a zero length filename instead of removing # it. This way we keep the file permissions. ofh.write('') except (IOError, OSError) as exc: self.error( '{0}: Access denied: {1}'.format( self.options.output_file, exc ) ) def _mixin_after_parsed(self): group_options_selected = [ option for option in self.output_options_group.option_list if ( getattr(self.options, option.dest) and (option.dest.endswith('_out') or option.dest == 'output')) ] if len(group_options_selected) > 1: self.error( 'The options {0} are mutually exclusive. Please only choose ' 'one of them'.format('/'.join([ option.get_opt_string() for option in group_options_selected ])) ) self.config['selected_output_option'] = self.selected_output_option class ExecutionOptionsMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 10 def _mixin_setup(self): group = self.execution_group = optparse.OptionGroup( self, 'Execution Options', # Include description here as a string ) group.add_option( '-L', '--location', default=None, help='Specify which region to connect to.' ) group.add_option( '-a', '--action', default=None, help='Perform an action that may be specific to this cloud ' 'provider. This argument requires one or more instance ' 'names to be specified.' ) group.add_option( '-f', '--function', nargs=2, default=None, metavar='<FUNC-NAME> <PROVIDER>', help='Perform an function that may be specific to this cloud ' 'provider, that does not apply to an instance. This ' 'argument requires a provider to be specified (i.e.: nova).' ) group.add_option( '-p', '--profile', default=None, help='Create an instance using the specified profile.' ) group.add_option( '-m', '--map', default=None, help='Specify a cloud map file to use for deployment. This option ' 'may be used alone, or in conjunction with -Q, -F, -S or -d.' 'The map can also be filtered by a list of VM names.' ) group.add_option( '-H', '--hard', default=False, action='store_true', help='Delete all VMs that are not defined in the map file. ' 'CAUTION!!! This operation can irrevocably destroy VMs! It ' 'must be explicitly enabled in the cloud config file.' ) group.add_option( '-d', '--destroy', default=False, action='store_true', help='Destroy the specified instance(s).' ) group.add_option( '--no-deploy', default=True, dest='deploy', action='store_false', help='Don\'t run a deploy script after instance creation.' ) group.add_option( '-P', '--parallel', default=False, action='store_true', help='Build all of the specified instances in parallel.' ) group.add_option( '-u', '--update-bootstrap', default=False, action='store_true', help='Update salt-bootstrap to the latest develop version on ' 'GitHub.' ) group.add_option( '-y', '--assume-yes', default=False, action='store_true', help='Default yes in answer to all confirmation questions.' ) group.add_option( '-k', '--keep-tmp', default=False, action='store_true', help='Do not remove files from /tmp/ after deploy.sh finishes.' ) group.add_option( '--show-deploy-args', default=False, action='store_true', help='Include the options used to deploy the minion in the data ' 'returned.' ) group.add_option( '--script-args', default=None, help='Script arguments to be fed to the bootstrap script when ' 'deploying the VM' ) self.add_option_group(group) def process_function(self): if self.options.function: self.function_name, self.function_provider = self.options.function if self.function_provider.startswith('-') or \ '=' in self.function_provider: self.error( '--function expects two arguments: <function-name> ' '<provider>' ) class CloudQueriesMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 20 selected_query_option = None def _mixin_setup(self): group = self.cloud_queries_group = optparse.OptionGroup( self, 'Query Options', # Include description here as a string ) group.add_option( '-Q', '--query', default=False, action='store_true', help=('Execute a query and return some information about the ' 'nodes running on configured cloud providers') ) group.add_option( '-F', '--full-query', default=False, action='store_true', help=('Execute a query and return all information about the ' 'nodes running on configured cloud providers') ) group.add_option( '-S', '--select-query', default=False, action='store_true', help=('Execute a query and return select information about ' 'the nodes running on configured cloud providers') ) group.add_option( '--list-providers', default=False, action='store_true', help='Display a list of configured providers.' ) group.add_option( '--list-profiles', default=None, action='store', help='Display a list of configured profiles. Pass in a cloud ' 'provider to view the provider\'s associated profiles, ' 'such as digital_ocean, or pass in "all" to list all the ' 'configured profiles.' ) self.add_option_group(group) self._create_process_functions() def _create_process_functions(self): for option in self.cloud_queries_group.option_list: def process(opt): if getattr(self.options, opt.dest): query = 'list_nodes' if opt.dest == 'full_query': query += '_full' elif opt.dest == 'select_query': query += '_select' elif opt.dest == 'list_providers': query = 'list_providers' if self.args: self.error( '\'--list-providers\' does not accept any ' 'arguments' ) elif opt.dest == 'list_profiles': query = 'list_profiles' option_dict = vars(self.options) if option_dict.get('list_profiles') == '--list-providers': self.error( '\'--list-profiles\' does not accept ' '\'--list-providers\' as an argument' ) self.selected_query_option = query funcname = 'process_{0}'.format(option.dest) if not hasattr(self, funcname): setattr(self, funcname, partial(process, option)) def _mixin_after_parsed(self): group_options_selected = [ option for option in self.cloud_queries_group.option_list if getattr(self.options, option.dest) is not False and getattr(self.options, option.dest) is not None ] if len(group_options_selected) > 1: self.error( 'The options {0} are mutually exclusive. Please only choose ' 'one of them'.format('/'.join([ option.get_opt_string() for option in group_options_selected ])) ) self.config['selected_query_option'] = self.selected_query_option class CloudProvidersListsMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 30 def _mixin_setup(self): group = self.providers_listings_group = optparse.OptionGroup( self, 'Cloud Providers Listings', # Include description here as a string ) group.add_option( '--list-locations', default=None, help=('Display a list of locations available in configured cloud ' 'providers. Pass the cloud provider that available ' 'locations are desired on, aka "linode", or pass "all" to ' 'list locations for all configured cloud providers') ) group.add_option( '--list-images', default=None, help=('Display a list of images available in configured cloud ' 'providers. Pass the cloud provider that available images ' 'are desired on, aka "linode", or pass "all" to list images ' 'for all configured cloud providers') ) group.add_option( '--list-sizes', default=None, help=('Display a list of sizes available in configured cloud ' 'providers. Pass the cloud provider that available sizes ' 'are desired on, aka "AWS", or pass "all" to list sizes ' 'for all configured cloud providers') ) self.add_option_group(group) def _mixin_after_parsed(self): list_options_selected = [ option for option in self.providers_listings_group.option_list if getattr(self.options, option.dest) is not None ] if len(list_options_selected) > 1: self.error( 'The options {0} are mutually exclusive. Please only choose ' 'one of them'.format( '/'.join([ option.get_opt_string() for option in list_options_selected ]) ) ) class ProfilingPMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 130 def _mixin_setup(self): group = self.profiling_group = optparse.OptionGroup( self, 'Profiling support', # Include description here as a string ) group.add_option( '--profiling-path', dest='profiling_path', default='/tmp/stats', help=('Folder that will hold all' ' Stats generations path (/tmp/stats)') ) group.add_option( '--enable-profiling', dest='profiling_enabled', default=False, action='store_true', help=('Enable generating profiling stats' ' in /tmp/stats (--profiling-path)') ) self.add_option_group(group) class CloudCredentialsMixIn(six.with_metaclass(MixInMeta, object)): _mixin_prio_ = 30 def _mixin_setup(self): group = self.cloud_credentials_group = optparse.OptionGroup( self, 'Cloud Credentials', # Include description here as a string ) group.add_option( '--set-password', default=None, nargs=2, metavar='<USERNAME> <PROVIDER>', help=('Configure password for a cloud provider and save it to the keyring.' ' PROVIDER can be specified with or without a driver, for example:' ' "--set-password bob rackspace"' ' or more specific' ' "--set-password bob rackspace:openstack"' ' DEPRECATED!') ) self.add_option_group(group) def process_set_password(self): if self.options.set_password: raise RuntimeError( 'This functionality is not supported; ' 'please see the keyring module at http://docs.saltstack.com/en/latest/topics/sdb/' ) class MasterOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, RunUserMixin, DaemonMixIn, PidfileMixin, SaltfileMixIn)): description = 'The Salt master, used to control the Salt minions.' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'master') def setup_config(self): return config.master_config(self.get_config_file_path()) class MinionOptionParser(six.with_metaclass(OptionParserMeta, MasterOptionParser)): # pylint: disable=no-init description = ( 'The Salt minion, receives commands from a remote Salt master.' ) # ConfigDirMixIn config filename attribute _config_filename_ = 'minion' # LogLevelMixIn attributes _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'minion') def setup_config(self): return config.minion_config(self.get_config_file_path(), cache_minion_id=True) class ProxyMinionOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, RunUserMixin, DaemonMixIn, PidfileMixin, SaltfileMixIn, ProxyIdMixIn)): # pylint: disable=no-init description = ( 'The Salt proxy minion, connects to and controls devices not able to run a minion. Receives commands from a remote Salt master.' ) # ConfigDirMixIn config filename attribute _config_filename_ = 'proxy' # LogLevelMixIn attributes _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'proxy') def setup_config(self): return config.minion_config(self.get_config_file_path(), cache_minion_id=False) class SyndicOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, RunUserMixin, DaemonMixIn, PidfileMixin, SaltfileMixIn)): description = ( 'A seamless master of masters. Scale Salt to thousands of hosts or ' 'across many different networks.' ) # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'master') def setup_config(self): return config.syndic_config( self.get_config_file_path(), self.get_config_file_path('minion')) class SaltCMDOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, TimeoutMixIn, ExtendedTargetOptionsMixIn, OutputOptionsMixIn, LogLevelMixIn, HardCrashMixin, SaltfileMixIn, ArgsStdinMixIn)): default_timeout = 5 usage = '%prog [options] \'<target>\' <function> [arguments]' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_level_ = 'warning' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'master') _loglevel_config_setting_name_ = 'cli_salt_log_file' try: os.getcwd() except OSError: sys.exit("Cannot access current working directory. Exiting!") def _mixin_setup(self): self.add_option( '-s', '--static', default=False, action='store_true', help=('Return the data from minions as a group after they ' 'all return.') ) self.add_option( '-p', '--progress', default=False, action='store_true', help=('Display a progress graph. [Requires `progressbar` python package.]') ) self.add_option( '--failhard', default=False, action='store_true', help=('Stop batch execution upon first "bad" return') ) self.add_option( '--async', default=False, dest='async', action='store_true', help=('Run the salt command but don\'t wait for a reply') ) self.add_option( '--subset', default=0, type=int, help=('Execute the routine on a random subset of the targeted ' 'minions. The minions will be verified that they have the ' 'named function before executing') ) self.add_option( '-v', '--verbose', default=False, action='store_true', help=('Turn on command verbosity, display jid and active job ' 'queries') ) self.add_option( '--hide-timeout', dest='show_timeout', default=True, action='store_false', help=('Hide minions that timeout') ) self.add_option( '--show-jid', default=False, action='store_true', help=('Display jid without the additional output of --verbose') ) self.add_option( '-b', '--batch', '--batch-size', default='', dest='batch', help=('Execute the salt job in batch mode, pass either the number ' 'of minions to batch at a time, or the percentage of ' 'minions to have running') ) self.add_option( '-a', '--auth', '--eauth', '--external-auth', default='', dest='eauth', help=('Specify an external authentication system to use.') ) self.add_option( '-T', '--make-token', default=False, dest='mktoken', action='store_true', help=('Generate and save an authentication token for re-use. The ' 'token is generated and made available for the period ' 'defined in the Salt Master.') ) self.add_option( '--return', default='', metavar='RETURNER', help=('Set an alternative return method. By default salt will ' 'send the return data from the command back to the master, ' 'but the return data can be redirected into any number of ' 'systems, databases or applications.') ) self.add_option( '--return_config', default='', metavar='RETURNER_CONF', help=('Set an alternative return method. By default salt will ' 'send the return data from the command back to the master, ' 'but the return data can be redirected into any number of ' 'systems, databases or applications.') ) self.add_option( '-d', '--doc', '--documentation', dest='doc', default=False, action='store_true', help=('Return the documentation for the specified module or for ' 'all modules if none are specified.') ) self.add_option( '--args-separator', dest='args_separator', default=',', help=('Set the special argument used as a delimiter between ' 'command arguments of compound commands. This is useful ' 'when one wants to pass commas as arguments to ' 'some of the commands in a compound command.') ) self.add_option( '--summary', dest='cli_summary', default=False, action='store_true', help=('Display summary information about a salt command') ) self.add_option( '--username', dest='username', nargs=1, help=('Username for external authentication') ) self.add_option( '--password', dest='password', nargs=1, help=('Password for external authentication') ) self.add_option( '--metadata', default='', metavar='METADATA', help=('Pass metadata into Salt, used to search jobs.') ) self.add_option( '--output-diff', dest='state_output_diff', action='store_true', default=False, help=('Report only those states that have changed') ) def _mixin_after_parsed(self): if len(self.args) <= 1 and not self.options.doc: try: self.print_help() except Exception: # We get an argument that Python's optparser just can't deal # with. Perhaps stdout was redirected, or a file glob was # passed in. Regardless, we're in an unknown state here. sys.stdout.write('Invalid options passed. Please try -h for ' 'help.') # Try to warn if we can. sys.exit(salt.defaults.exitcodes.EX_GENERIC) if self.options.doc: # Include the target if not self.args: self.args.insert(0, '*') if len(self.args) < 2: # Include the function self.args.insert(1, 'sys.doc') if self.args[1] != 'sys.doc': self.args.insert(1, 'sys.doc') if len(self.args) > 3: self.error('You can only get documentation for one method at one time.') if self.options.list: try: if ',' in self.args[0]: self.config['tgt'] = self.args[0].replace(' ', '').split(',') else: self.config['tgt'] = self.args[0].split() except IndexError: self.exit(42, '\nCannot execute command without defining a target.\n\n') else: try: self.config['tgt'] = self.args[0] except IndexError: self.exit(42, '\nCannot execute command without defining a target.\n\n') # Detect compound command and set up the data for it if self.args: try: if ',' in self.args[1]: self.config['fun'] = self.args[1].split(',') self.config['arg'] = [[]] cmd_index = 0 if (self.args[2:].count(self.options.args_separator) == len(self.config['fun']) - 1): # new style parsing: standalone argument separator for arg in self.args[2:]: if arg == self.options.args_separator: cmd_index += 1 self.config['arg'].append([]) else: self.config['arg'][cmd_index].append(arg) else: # old style parsing: argument separator can be inside args for arg in self.args[2:]: if self.options.args_separator in arg: sub_args = arg.split(self.options.args_separator) for sub_arg_index, sub_arg in enumerate(sub_args): if sub_arg: self.config['arg'][cmd_index].append(sub_arg) if sub_arg_index != len(sub_args) - 1: cmd_index += 1 self.config['arg'].append([]) else: self.config['arg'][cmd_index].append(arg) if len(self.config['fun']) != len(self.config['arg']): self.exit(42, 'Cannot execute compound command without ' 'defining all arguments.\n') else: self.config['fun'] = self.args[1] self.config['arg'] = self.args[2:] # parse the args and kwargs before sending to the publish interface self.config['arg'] = \ salt.utils.args.parse_input(self.config['arg']) except IndexError: self.exit(42, '\nIncomplete options passed.\n\n') def setup_config(self): return config.client_config(self.get_config_file_path()) class SaltCPOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, OutputOptionsMixIn, ConfigDirMixIn, MergeConfigMixIn, TimeoutMixIn, TargetOptionsMixIn, LogLevelMixIn, HardCrashMixin, SaltfileMixIn)): description = ( 'salt-cp is NOT intended to broadcast large files, it is intended to ' 'handle text files.\nsalt-cp can be used to distribute configuration ' 'files.' ) default_timeout = 5 usage = '%prog [options] \'<target>\' SOURCE DEST' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_level_ = 'warning' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'master') _loglevel_config_setting_name_ = 'cli_salt_cp_log_file' def _mixin_after_parsed(self): # salt-cp needs arguments if len(self.args) <= 1: self.print_help() self.exit(salt.defaults.exitcodes.EX_USAGE) if self.options.list: if ',' in self.args[0]: self.config['tgt'] = self.args[0].split(',') else: self.config['tgt'] = self.args[0].split() else: self.config['tgt'] = self.args[0] self.config['src'] = self.args[1:-1] self.config['dest'] = self.args[-1] def setup_config(self): return config.master_config(self.get_config_file_path()) class SaltKeyOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, OutputOptionsMixIn, RunUserMixin, HardCrashMixin, SaltfileMixIn)): description = 'Salt key is used to manage Salt authentication keys' usage = '%prog [options]' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _skip_console_logging_config_ = True _logfile_config_setting_name_ = 'key_logfile' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'key') def _mixin_setup(self): actions_group = optparse.OptionGroup(self, 'Actions') actions_group.add_option( '-l', '--list', default='', metavar='ARG', help=('List the public keys. The args ' '"pre", "un", and "unaccepted" will list ' 'unaccepted/unsigned keys. ' '"acc" or "accepted" will list accepted/signed keys. ' '"rej" or "rejected" will list rejected keys. ' '"den" or "denied" will list denied keys. ' 'Finally, "all" will list all keys.') ) actions_group.add_option( '-L', '--list-all', default=False, action='store_true', help='List all public keys. (Deprecated: use "--list all")' ) actions_group.add_option( '-a', '--accept', default='', help='Accept the specified public key (use --include-all to ' 'match rejected keys in addition to pending keys). Globs are ' 'supported.' ) actions_group.add_option( '-A', '--accept-all', default=False, action='store_true', help='Accept all pending keys' ) actions_group.add_option( '-r', '--reject', default='', help='Reject the specified public key (use --include-all to ' 'match accepted keys in addition to pending keys). Globs are ' 'supported.' ) actions_group.add_option( '-R', '--reject-all', default=False, action='store_true', help='Reject all pending keys' ) actions_group.add_option( '--include-all', default=False, action='store_true', help='Include non-pending keys when accepting/rejecting' ) actions_group.add_option( '-p', '--print', default='', help='Print the specified public key' ) actions_group.add_option( '-P', '--print-all', default=False, action='store_true', help='Print all public keys' ) actions_group.add_option( '-d', '--delete', default='', help='Delete the specified key. Globs are supported.' ) actions_group.add_option( '-D', '--delete-all', default=False, action='store_true', help='Delete all keys' ) actions_group.add_option( '-f', '--finger', default='', help='Print the specified key\'s fingerprint' ) actions_group.add_option( '-F', '--finger-all', default=False, action='store_true', help='Print all keys\' fingerprints' ) self.add_option_group(actions_group) self.add_option( '-q', '--quiet', default=False, action='store_true', help='Suppress output' ) self.add_option( '-y', '--yes', default=False, action='store_true', help='Answer Yes to all questions presented, defaults to False' ) self.add_option( '--rotate-aes-key', default=True, help=('Setting this to False prevents the master from refreshing ' 'the key session when keys are deleted or rejected, this ' 'lowers the security of the key deletion/rejection operation. ' 'Default is True.') ) key_options_group = optparse.OptionGroup( self, 'Key Generation Options' ) self.add_option_group(key_options_group) key_options_group.add_option( '--gen-keys', default='', help='Set a name to generate a keypair for use with salt' ) key_options_group.add_option( '--gen-keys-dir', default='.', help=('Set the directory to save the generated keypair, only ' 'works with "gen_keys_dir" option; default=.') ) key_options_group.add_option( '--keysize', default=2048, type=int, help=('Set the keysize for the generated key, only works with ' 'the "--gen-keys" option, the key size must be 2048 or ' 'higher, otherwise it will be rounded up to 2048; ' '; default=%default') ) key_options_group.add_option( '--gen-signature', default=False, action='store_true', help=('Create a signature file of the masters public-key named ' 'master_pubkey_signature. The signature can be send to a ' 'minion in the masters auth-reply and enables the minion ' 'to verify the masters public-key cryptographically. ' 'This requires a new signing-key-pair which can be auto-created ' 'with the --auto-create parameter') ) key_options_group.add_option( '--priv', default='', type=str, help=('The private-key file to create a signature with') ) key_options_group.add_option( '--signature-path', default='', type=str, help=('The path where the signature file should be written') ) key_options_group.add_option( '--pub', default='', type=str, help=('The public-key file to create a signature for') ) key_options_group.add_option( '--auto-create', default=False, action='store_true', help=('Auto-create a signing key-pair if it does not yet exist') ) def process_config_dir(self): if self.options.gen_keys: # We're generating keys, override the default behavior of this # function if we don't have any access to the configuration # directory. if not os.access(self.options.config_dir, os.R_OK): if not os.path.isdir(self.options.gen_keys_dir): # This would be done at a latter stage, but we need it now # so no errors are thrown os.makedirs(self.options.gen_keys_dir) self.options.config_dir = self.options.gen_keys_dir super(SaltKeyOptionParser, self).process_config_dir() # Don't change its mixin priority! process_config_dir._mixin_prio_ = ConfigDirMixIn._mixin_prio_ def setup_config(self): keys_config = config.master_config(self.get_config_file_path()) if self.options.gen_keys: # Since we're generating the keys, some defaults can be assumed # or tweaked keys_config['key_logfile'] = os.devnull keys_config['pki_dir'] = self.options.gen_keys_dir return keys_config def process_list(self): # Filter accepted list arguments as soon as possible if not self.options.list: return if not self.options.list.startswith(('acc', 'pre', 'un', 'rej', 'den', 'all')): self.error( '{0!r} is not a valid argument to \'--list\''.format( self.options.list ) ) def process_keysize(self): if self.options.keysize < 2048: self.error('The minimum value for keysize is 2048') elif self.options.keysize > 32768: self.error('The maximum value for keysize is 32768') def process_gen_keys_dir(self): # Schedule __create_keys_dir() to run if there's a value for # --create-keys-dir self._mixin_after_parsed_funcs.append(self.__create_keys_dir) def _mixin_after_parsed(self): # It was decided to always set this to info, since it really all is # info or error. self.config['loglevel'] = 'info' def __create_keys_dir(self, *args): if not os.path.isdir(self.config['gen_keys_dir']): os.makedirs(self.config['gen_keys_dir']) class SaltCallOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, OutputOptionsMixIn, HardCrashMixin, SaltfileMixIn, ArgsStdinMixIn, ProfilingPMixIn)): description = ('Salt call is used to execute module functions locally ' 'on a minion') usage = '%prog [options] <function> [arguments]' # ConfigDirMixIn config filename attribute _config_filename_ = 'minion' # LogLevelMixIn attributes _default_logging_level_ = 'info' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'minion') def _mixin_setup(self): self.add_option( '-g', '--grains', dest='grains_run', default=False, action='store_true', help='Return the information generated by the salt grains' ) self.add_option( '-m', '--module-dirs', default=[], action='append', help=('Specify an additional directory to pull modules from. ' 'Multiple directories can be provided by passing ' '`-m/--module-dirs` multiple times.') ) self.add_option( '-d', '--doc', '--documentation', dest='doc', default=False, action='store_true', help=('Return the documentation for the specified module or for ' 'all modules if none are specified.') ) self.add_option( '--master', default='', dest='master', help=('Specify the master to use. The minion must be ' 'authenticated with the master. If this option is omitted, ' 'the master options from the minion config will be used. ' 'If multi masters are set up the first listed master that ' 'responds will be used.') ) self.add_option( '--return', default='', metavar='RETURNER', help=('Set salt-call to pass the return data to one or many ' 'returner interfaces.') ) self.add_option( '--local', default=False, action='store_true', help='Run salt-call locally, as if there was no master running.' ) self.add_option( '--file-root', default=None, help='Set this directory as the base file root.' ) self.add_option( '--pillar-root', default=None, help='Set this directory as the base pillar root.' ) self.add_option( '--retcode-passthrough', default=False, action='store_true', help=('Exit with the salt call retcode and not the salt binary ' 'retcode') ) self.add_option( '--metadata', default=False, dest='metadata', action='store_true', help=('Print out the execution metadata as well as the return. ' 'This will print out the outputter data, the return code, ' 'etc.') ) self.add_option( '--id', default='', dest='id', help=('Specify the minion id to use. If this option is omitted, ' 'the id option from the minion config will be used.') ) self.add_option( '--skip-grains', default=False, action='store_true', help=('Do not load grains.') ) self.add_option( '--refresh-grains-cache', default=False, action='store_true', help=('Force a refresh of the grains cache') ) self.add_option( '-t', '--timeout', default=60, dest='auth_timeout', type=int, help=('Change the timeout, if applicable, for the running ' 'command; default=60') ) self.add_option( '--output-diff', dest='state_output_diff', action='store_true', default=False, help=('Report only those states that have changed') ) def _mixin_after_parsed(self): if not self.args and not self.options.grains_run and not self.options.doc: self.print_help() self.exit(salt.defaults.exitcodes.EX_USAGE) elif len(self.args) >= 1: if self.options.grains_run: self.error('-g/--grains does not accept any arguments') if self.options.doc and len(self.args) > 1: self.error('You can only get documentation for one method at one time') self.config['fun'] = self.args[0] self.config['arg'] = self.args[1:] def setup_config(self): opts = config.minion_config(self.get_config_file_path(), cache_minion_id=True) if opts.get('transport') == 'raet': if not self._find_raet_minion(opts): # must create caller minion opts['__role'] = kinds.APPL_KIND_NAMES[kinds.applKinds.caller] return opts def _find_raet_minion(self, opts): ''' Returns true if local RAET Minion is available ''' yardname = 'manor' dirpath = opts['sock_dir'] role = opts.get('id') if not role: emsg = ("Missing role required to setup RAET SaltCaller.") logging.getLogger(__name__).error(emsg + "\n") raise ValueError(emsg) kind = opts.get('__role') # application kind 'master', 'minion', etc if kind not in kinds.APPL_KINDS: emsg = ("Invalid application kind = '{0}' for RAET SaltCaller.".format(kind)) logging.getLogger(__name__).error(emsg + "\n") raise ValueError(emsg) if kind in [kinds.APPL_KIND_NAMES[kinds.applKinds.minion], kinds.APPL_KIND_NAMES[kinds.applKinds.caller], ]: lanename = "{0}_{1}".format(role, kind) else: emsg = ("Unsupported application kind '{0}' for RAET SaltCaller.".format(kind)) logging.getLogger(__name__).error(emsg + '\n') raise ValueError(emsg) if kind == kinds.APPL_KIND_NAMES[kinds.applKinds.minion]: # minion check from raet.lane.yarding import Yard ha, dirpath = Yard.computeHa(dirpath, lanename, yardname) if (os.path.exists(ha) and not os.path.isfile(ha) and not os.path.isdir(ha)): # minion manor yard return True return False def process_module_dirs(self): for module_dir in self.options.module_dirs: # Provide some backwards compatibility with previous comma # delimited format if ',' in module_dir: self.config.setdefault('module_dirs', []).extend( os.path.abspath(x) for x in module_dir.split(',')) continue self.config.setdefault('module_dirs', []).append(os.path.abspath(module_dir)) class SaltRunOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, TimeoutMixIn, LogLevelMixIn, HardCrashMixin, SaltfileMixIn, OutputOptionsMixIn, ArgsStdinMixIn, ProfilingPMixIn)): default_timeout = 1 usage = '%prog [options]' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_level_ = 'warning' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'master') _loglevel_config_setting_name_ = 'cli_salt_run_log_file' def _mixin_setup(self): self.add_option( '-d', '--doc', '--documentation', dest='doc', default=False, action='store_true', help=('Display documentation for runners, pass a runner or ' 'runner.function to see documentation on only that runner ' 'or function.') ) self.add_option( '--async', default=False, action='store_true', help=('Start the runner operation and immediately return control.') ) group = self.output_options_group = optparse.OptionGroup( self, 'Output Options', 'Configure your preferred output format' ) self.add_option_group(group) group.add_option( '--quiet', default=False, action='store_true', help='Do not display the results of the run' ) def _mixin_after_parsed(self): if self.options.doc and len(self.args) > 1: self.error('You can only get documentation for one method at one time') if len(self.args) > 0: self.config['fun'] = self.args[0] else: self.config['fun'] = '' if len(self.args) > 1: self.config['arg'] = self.args[1:] else: self.config['arg'] = [] def setup_config(self): return config.master_config(self.get_config_file_path()) class SaltSSHOptionParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, MergeConfigMixIn, LogLevelMixIn, TargetOptionsMixIn, OutputOptionsMixIn, SaltfileMixIn, HardCrashMixin)): usage = '%prog [options]' # ConfigDirMixIn config filename attribute _config_filename_ = 'master' # LogLevelMixIn attributes _default_logging_level_ = 'warning' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'ssh') _loglevel_config_setting_name_ = 'cli_salt_run_log_file' def _mixin_setup(self): self.add_option( '-r', '--raw', '--raw-shell', dest='raw_shell', default=False, action='store_true', help=('Don\'t execute a salt routine on the targets, execute a ' 'raw shell command') ) self.add_option( '--roster', dest='roster', default='flat', help=('Define which roster system to use, this defines if a ' 'database backend, scanner, or custom roster system is ' 'used. Default is the flat file roster.') ) self.add_option( '--roster-file', dest='roster_file', default='', help=('define an alternative location for the default roster ' 'file location. The default roster file is called roster ' 'and is found in the same directory as the master config ' 'file.') ) self.add_option( '--refresh', '--refresh-cache', dest='refresh_cache', default=False, action='store_true', help=('Force a refresh of the master side data cache of the ' 'target\'s data. This is needed if a target\'s grains have ' 'been changed and the auto refresh timeframe has not been ' 'reached.') ) self.add_option( '--max-procs', dest='ssh_max_procs', default=25, type=int, help='Set the number of concurrent minions to communicate with. ' 'This value defines how many processes are opened up at a ' 'time to manage connections, the more running processes the ' 'faster communication should be, default is %default' ) self.add_option( '--extra-filerefs', dest='extra_filerefs', default=None, help='Pass in extra files to include in the state tarball' ) self.add_option( '-v', '--verbose', default=False, action='store_true', help=('Turn on command verbosity, display jid') ) self.add_option( '-s', '--static', default=False, action='store_true', help=('Return the data from minions as a group after they ' 'all return.') ) self.add_option( '-w', '--wipe', default=False, action='store_true', dest='wipe_ssh', help='Remove the deployment of the salt files when done executing.', ) self.add_option( '-W', '--rand-thin-dir', default=False, action='store_true', help=('Select a random temp dir to deploy on the remote system. ' 'The dir will be cleaned after the execution.')) auth_group = optparse.OptionGroup( self, 'Authentication Options', 'Parameters affecting authentication' ) auth_group.add_option( '--priv', dest='ssh_priv', help='Ssh private key file' ) auth_group.add_option( '-i', '--ignore-host-keys', dest='ignore_host_keys', default=False, action='store_true', help='By default ssh host keys are honored and connections will ' 'ask for approval' ) auth_group.add_option( '--user', dest='ssh_user', default='root', help='Set the default user to attempt to use when ' 'authenticating' ) auth_group.add_option( '--passwd', dest='ssh_passwd', default='', help='Set the default password to attempt to use when ' 'authenticating' ) auth_group.add_option( '--askpass', dest='ssh_askpass', default=False, action='store_true', help='Interactively ask for the SSH password with no echo - avoids ' 'password in process args and stored in history' ) auth_group.add_option( '--key-deploy', dest='ssh_key_deploy', default=False, action='store_true', help='Set this flag to attempt to deploy the authorized ssh key ' 'with all minions. This combined with --passwd can make ' 'initial deployment of keys very fast and easy' ) auth_group.add_option( '--identities-only', dest='ssh_identities_only', default=False, action='store_true', help='Use the only authentication identity files configured in the ' 'ssh_config files. See IdentitiesOnly flag in man ssh_config' ) self.add_option_group(auth_group) scan_group = optparse.OptionGroup( self, 'Scan Roster Options', 'Parameters affecting scan roster' ) scan_group.add_option( '--scan-ports', default='22', dest='ssh_scan_ports', help='Comma-separated list of ports to scan in the scan roster.', ) scan_group.add_option( '--scan-timeout', default=0.01, dest='ssh_scan_timeout', help='Scanning socket timeout for the scan roster.', ) self.add_option_group(scan_group) def _mixin_after_parsed(self): if not self.args: self.print_help() self.exit(salt.defaults.exitcodes.EX_USAGE) if self.options.list: if ',' in self.args[0]: self.config['tgt'] = self.args[0].split(',') else: self.config['tgt'] = self.args[0].split() else: self.config['tgt'] = self.args[0] self.config['argv'] = self.args[1:] if not self.config['argv'] or not self.config['tgt']: self.print_help() self.exit(salt.defaults.exitcodes.EX_USAGE) if self.options.ssh_askpass: self.options.ssh_passwd = getpass.getpass('Password: ') def setup_config(self): return config.master_config(self.get_config_file_path()) class SaltCloudParser(six.with_metaclass(OptionParserMeta, OptionParser, LogLevelMixIn, MergeConfigMixIn, OutputOptionsMixIn, ConfigDirMixIn, CloudQueriesMixIn, ExecutionOptionsMixIn, CloudProvidersListsMixIn, CloudCredentialsMixIn, HardCrashMixin, SaltfileMixIn)): # ConfigDirMixIn attributes _config_filename_ = 'cloud' # LogLevelMixIn attributes _default_logging_level_ = 'info' _logfile_config_setting_name_ = 'log_file' _loglevel_config_setting_name_ = 'log_level_logfile' _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'cloud') def print_versions_report(self, file=sys.stdout): print('\n'.join(version.versions_report(include_salt_cloud=True)), file=file) self.exit(salt.defaults.exitcodes.EX_OK) def parse_args(self, args=None, values=None): try: # Late import in order not to break setup from salt.cloud import libcloudfuncs libcloudfuncs.check_libcloud_version() except ImportError as exc: self.error(exc) return super(SaltCloudParser, self).parse_args(args, values) def _mixin_after_parsed(self): if 'DUMP_SALT_CLOUD_CONFIG' in os.environ: import pprint print('Salt cloud configuration dump(INCLUDES SENSIBLE DATA):') pprint.pprint(self.config) self.exit(salt.defaults.exitcodes.EX_OK) if self.args: self.config['names'] = self.args def setup_config(self): try: return config.cloud_config(self.get_config_file_path()) except salt.exceptions.SaltCloudConfigError as exc: self.error(exc) class SPMParser(six.with_metaclass(OptionParserMeta, OptionParser, ConfigDirMixIn, LogLevelMixIn, MergeConfigMixIn)): ''' The cli parser object used to fire up the salt spm system. ''' description = 'SPM is used to manage 3rd party formulas and other Salt components' usage = '%prog [options] <function> [arguments]' # ConfigDirMixIn config filename attribute _config_filename_ = 'spm' # LogLevelMixIn attributes _default_logging_logfile_ = os.path.join(syspaths.LOGS_DIR, 'spm') def _mixin_setup(self): self.add_option( '-y', '--assume-yes', default=False, action='store_true', help='Default yes in answer to all confirmation questions.' ) self.add_option( '-f', '--force', default=False, action='store_true', help='Default yes in answer to all confirmation questions.' ) def _mixin_after_parsed(self): # spm needs arguments if len(self.args) <= 1: if not self.args or self.args[0] not in ('update_repo',): self.print_help() self.exit(salt.defaults.exitcodes.EX_USAGE) def setup_config(self): return salt.config.spm_config(self.get_config_file_path())

b65e80fe93ed9ea6f4e16ff45ab677dd4047b40a

py

Python

mne/tests/test_event.py

stevemats/mne-python

47051833f21bb372d60afc3adbf4305648ac7f69

2021-12-21T16:16:40.000Z

2021-12-21T16:16:40.000Z

mne/tests/test_event.py

stevemats/mne-python

47051833f21bb372d60afc3adbf4305648ac7f69

2018-10-29T09:09:34.000Z

2019-08-02T16:24:09.000Z

mne/tests/test_event.py

stevemats/mne-python

47051833f21bb372d60afc3adbf4305648ac7f69

2021-07-22T17:57:33.000Z

2021-07-22T17:57:33.000Z

# -*- coding: utf-8 -*- # Author: Alexandre Gramfort <[email protected]> # Eric Larson <[email protected]> # # License: BSD-3-Clause import os.path as op import os import numpy as np from numpy.testing import (assert_array_almost_equal, assert_array_equal, assert_equal, assert_allclose) import pytest from mne import (read_events, write_events, make_fixed_length_events, find_events, pick_events, find_stim_steps, pick_channels, read_evokeds, Epochs, create_info, compute_raw_covariance, Annotations) from mne.io import read_raw_fif, RawArray from mne.event import (define_target_events, merge_events, AcqParserFIF, shift_time_events) from mne.datasets import testing base_dir = op.join(op.dirname(__file__), '..', 'io', 'tests', 'data') fname = op.join(base_dir, 'test-eve.fif') fname_raw = op.join(base_dir, 'test_raw.fif') fname_gz = op.join(base_dir, 'test-eve.fif.gz') fname_1 = op.join(base_dir, 'test-1-eve.fif') fname_txt = op.join(base_dir, 'test-eve.eve') fname_txt_1 = op.join(base_dir, 'test-eve-1.eve') fname_c_annot = op.join(base_dir, 'test_raw-annot.fif') # for testing Elekta averager elekta_base_dir = op.join(testing.data_path(download=False), 'misc') fname_raw_elekta = op.join(elekta_base_dir, 'test_elekta_3ch_raw.fif') fname_ave_elekta = op.join(elekta_base_dir, 'test_elekta-ave.fif') # using mne_process_raw --raw test_raw.fif --eventsout test-mpr-eve.eve: fname_txt_mpr = op.join(base_dir, 'test-mpr-eve.eve') fname_old_txt = op.join(base_dir, 'test-eve-old-style.eve') raw_fname = op.join(base_dir, 'test_raw.fif') def test_fix_stim(): """Test fixing stim STI016 for Neuromag.""" raw = read_raw_fif(raw_fname, preload=True) # 32768 (016) + 3 (002+001) bits gets incorrectly coded during acquisition raw._data[raw.ch_names.index('STI 014'), :3] = [0, -32765, 0] with pytest.warns(RuntimeWarning, match='STI016'): events = find_events(raw, 'STI 014') assert_array_equal(events[0], [raw.first_samp + 1, 0, 32765]) events = find_events(raw, 'STI 014', uint_cast=True) assert_array_equal(events[0], [raw.first_samp + 1, 0, 32771]) def test_add_events(): """Test adding events to a Raw file.""" # need preload raw = read_raw_fif(raw_fname) events = np.array([[raw.first_samp, 0, 1]]) pytest.raises(RuntimeError, raw.add_events, events, 'STI 014') raw = read_raw_fif(raw_fname, preload=True) orig_events = find_events(raw, 'STI 014') # add some events events = np.array([raw.first_samp, 0, 1]) pytest.raises(ValueError, raw.add_events, events, 'STI 014') # bad shape events[0] = raw.first_samp + raw.n_times + 1 events = events[np.newaxis, :] pytest.raises(ValueError, raw.add_events, events, 'STI 014') # bad time events[0, 0] = raw.first_samp - 1 pytest.raises(ValueError, raw.add_events, events, 'STI 014') # bad time events[0, 0] = raw.first_samp + 1 # can't actually be first_samp pytest.raises(ValueError, raw.add_events, events, 'STI FOO') raw.add_events(events, 'STI 014') new_events = find_events(raw, 'STI 014') assert_array_equal(new_events, np.concatenate((events, orig_events))) raw.add_events(events, 'STI 014', replace=True) new_events = find_events(raw, 'STI 014') assert_array_equal(new_events, events) def test_merge_events(): """Test event merging.""" events_orig = [[1, 0, 1], [3, 0, 2], [10, 0, 3], [20, 0, 4]] events_replacement = \ [[1, 0, 12], [3, 0, 12], [10, 0, 34], [20, 0, 34]] events_no_replacement = \ [[1, 0, 1], [1, 0, 12], [1, 0, 1234], [3, 0, 2], [3, 0, 12], [3, 0, 1234], [10, 0, 3], [10, 0, 34], [10, 0, 1234], [20, 0, 4], [20, 0, 34], [20, 0, 1234]] for replace_events, events_good in [(True, events_replacement), (False, events_no_replacement)]: events = merge_events(events_orig, [1, 2], 12, replace_events) events = merge_events(events, [3, 4], 34, replace_events) events = merge_events(events, [1, 2, 3, 4], 1234, replace_events) assert_array_equal(events, events_good) def test_io_events(tmp_path): """Test IO for events.""" # Test binary fif IO events = read_events(fname) # Use as the gold standard fname_temp = tmp_path / 'events-eve.fif' write_events(fname_temp, events) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) # Test binary fif.gz IO events2 = read_events(fname_gz) # Use as the gold standard assert_array_almost_equal(events, events2) fname_temp = str(fname_temp) + '.gz' write_events(fname_temp, events2) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) # Test new format text file IO fname_temp = tmp_path / 'events.eve' write_events(fname_temp, events) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) with pytest.warns(RuntimeWarning, match='first row of'): events2 = read_events(fname_txt_mpr, mask=0, mask_type='not_and') assert_array_almost_equal(events, events2) # Test old format text file IO events2 = read_events(fname_old_txt) assert_array_almost_equal(events, events2) write_events(fname_temp, events, overwrite=True) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) # Test event selection fname_temp = tmp_path / 'events-eve.fif' a = read_events(fname_temp, include=1) b = read_events(fname_temp, include=[1]) c = read_events(fname_temp, exclude=[2, 3, 4, 5, 32]) d = read_events(fname_temp, include=1, exclude=[2, 3]) assert_array_equal(a, b) assert_array_equal(a, c) assert_array_equal(a, d) # test reading file with mask=None events2 = events.copy() events2[:, -1] = range(events2.shape[0]) write_events(fname_temp, events2, overwrite=True) events3 = read_events(fname_temp, mask=None) assert_array_almost_equal(events2, events3) # Test binary file IO for 1 event events = read_events(fname_1) # Use as the new gold standard write_events(fname_temp, events, overwrite=True) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) # Test text file IO for 1 event fname_temp = tmp_path / 'events.eve' write_events(fname_temp, events, overwrite=True) events2 = read_events(fname_temp) assert_array_almost_equal(events, events2) # test warnings on bad filenames fname2 = tmp_path / 'test-bad-name.fif' with pytest.warns(RuntimeWarning, match='-eve.fif'): write_events(fname2, events) with pytest.warns(RuntimeWarning, match='-eve.fif'): read_events(fname2) # No event_id with pytest.raises(RuntimeError, match='No event_id'): read_events(fname, return_event_id=True) def test_io_c_annot(): """Test I/O of MNE-C -annot.fif files.""" raw = read_raw_fif(fname_raw) sfreq, first_samp = raw.info['sfreq'], raw.first_samp events = read_events(fname_c_annot) events_2, event_id = read_events(fname_c_annot, return_event_id=True) assert_array_equal(events_2, events) expected = np.arange(2, 5) * sfreq + first_samp assert_allclose(events[:, 0], expected, atol=3) # clicking accuracy (samp) expected = {'Two sec': 1001, 'Three and four sec': 1002} assert event_id == expected def test_find_events(): """Test find events in raw file.""" events = read_events(fname) raw = read_raw_fif(raw_fname, preload=True) # let's test the defaulting behavior while we're at it extra_ends = ['', '_1'] orig_envs = [os.getenv('MNE_STIM_CHANNEL%s' % s) for s in extra_ends] os.environ['MNE_STIM_CHANNEL'] = 'STI 014' if 'MNE_STIM_CHANNEL_1' in os.environ: del os.environ['MNE_STIM_CHANNEL_1'] events2 = find_events(raw) assert_array_almost_equal(events, events2) # now test with mask events11 = find_events(raw, mask=3, mask_type='not_and') with pytest.warns(RuntimeWarning, match='events masked'): events22 = read_events(fname, mask=3, mask_type='not_and') assert_array_equal(events11, events22) # Reset some data for ease of comparison raw._first_samps[0] = 0 with raw.info._unlock(): raw.info['sfreq'] = 1000 stim_channel = 'STI 014' stim_channel_idx = pick_channels(raw.info['ch_names'], include=[stim_channel]) # test digital masking raw._data[stim_channel_idx, :5] = np.arange(5) raw._data[stim_channel_idx, 5:] = 0 # 1 == '0b1', 2 == '0b10', 3 == '0b11', 4 == '0b100' pytest.raises(TypeError, find_events, raw, mask="0", mask_type='and') pytest.raises(ValueError, find_events, raw, mask=0, mask_type='blah') # testing mask_type. default = 'not_and' assert_array_equal(find_events(raw, shortest_event=1, mask=1, mask_type='not_and'), [[2, 0, 2], [4, 2, 4]]) assert_array_equal(find_events(raw, shortest_event=1, mask=2, mask_type='not_and'), [[1, 0, 1], [3, 0, 1], [4, 1, 4]]) assert_array_equal(find_events(raw, shortest_event=1, mask=3, mask_type='not_and'), [[4, 0, 4]]) assert_array_equal(find_events(raw, shortest_event=1, mask=4, mask_type='not_and'), [[1, 0, 1], [2, 1, 2], [3, 2, 3]]) # testing with mask_type = 'and' assert_array_equal(find_events(raw, shortest_event=1, mask=1, mask_type='and'), [[1, 0, 1], [3, 0, 1]]) assert_array_equal(find_events(raw, shortest_event=1, mask=2, mask_type='and'), [[2, 0, 2]]) assert_array_equal(find_events(raw, shortest_event=1, mask=3, mask_type='and'), [[1, 0, 1], [2, 1, 2], [3, 2, 3]]) assert_array_equal(find_events(raw, shortest_event=1, mask=4, mask_type='and'), [[4, 0, 4]]) # test empty events channel raw._data[stim_channel_idx, :] = 0 assert_array_equal(find_events(raw), np.empty((0, 3), dtype='int32')) raw._data[stim_channel_idx, :4] = 1 assert_array_equal(find_events(raw), np.empty((0, 3), dtype='int32')) raw._data[stim_channel_idx, -1:] = 9 assert_array_equal(find_events(raw), [[14399, 0, 9]]) # Test that we can handle consecutive events with no gap raw._data[stim_channel_idx, 10:20] = 5 raw._data[stim_channel_idx, 20:30] = 6 raw._data[stim_channel_idx, 30:32] = 5 raw._data[stim_channel_idx, 40] = 6 assert_array_equal(find_events(raw, consecutive=False), [[10, 0, 5], [40, 0, 6], [14399, 0, 9]]) assert_array_equal(find_events(raw, consecutive=True), [[10, 0, 5], [20, 5, 6], [30, 6, 5], [40, 0, 6], [14399, 0, 9]]) assert_array_equal(find_events(raw), [[10, 0, 5], [20, 5, 6], [40, 0, 6], [14399, 0, 9]]) assert_array_equal(find_events(raw, output='offset', consecutive=False), [[31, 0, 5], [40, 0, 6], [14399, 0, 9]]) assert_array_equal(find_events(raw, output='offset', consecutive=True), [[19, 6, 5], [29, 5, 6], [31, 0, 5], [40, 0, 6], [14399, 0, 9]]) pytest.raises(ValueError, find_events, raw, output='step', consecutive=True) assert_array_equal(find_events(raw, output='step', consecutive=True, shortest_event=1), [[10, 0, 5], [20, 5, 6], [30, 6, 5], [32, 5, 0], [40, 0, 6], [41, 6, 0], [14399, 0, 9], [14400, 9, 0]]) assert_array_equal(find_events(raw, output='offset'), [[19, 6, 5], [31, 0, 6], [40, 0, 6], [14399, 0, 9]]) assert_array_equal(find_events(raw, consecutive=False, min_duration=0.002), [[10, 0, 5]]) assert_array_equal(find_events(raw, consecutive=True, min_duration=0.002), [[10, 0, 5], [20, 5, 6], [30, 6, 5]]) assert_array_equal(find_events(raw, output='offset', consecutive=False, min_duration=0.002), [[31, 0, 5]]) assert_array_equal(find_events(raw, output='offset', consecutive=True, min_duration=0.002), [[19, 6, 5], [29, 5, 6], [31, 0, 5]]) assert_array_equal(find_events(raw, consecutive=True, min_duration=0.003), [[10, 0, 5], [20, 5, 6]]) # test find_stim_steps merge parameter raw._data[stim_channel_idx, :] = 0 raw._data[stim_channel_idx, 0] = 1 raw._data[stim_channel_idx, 10] = 4 raw._data[stim_channel_idx, 11:20] = 5 assert_array_equal(find_stim_steps(raw, pad_start=0, merge=0, stim_channel=stim_channel), [[0, 0, 1], [1, 1, 0], [10, 0, 4], [11, 4, 5], [20, 5, 0]]) assert_array_equal(find_stim_steps(raw, merge=-1, stim_channel=stim_channel), [[1, 1, 0], [10, 0, 5], [20, 5, 0]]) assert_array_equal(find_stim_steps(raw, merge=1, stim_channel=stim_channel), [[1, 1, 0], [11, 0, 5], [20, 5, 0]]) # put back the env vars we trampled on for s, o in zip(extra_ends, orig_envs): if o is not None: os.environ['MNE_STIM_CHANNEL%s' % s] = o # Test with list of stim channels raw._data[stim_channel_idx, 1:101] = np.zeros(100) raw._data[stim_channel_idx, 10:11] = 1 raw._data[stim_channel_idx, 30:31] = 3 stim_channel2 = 'STI 015' stim_channel2_idx = pick_channels(raw.info['ch_names'], include=[stim_channel2]) raw._data[stim_channel2_idx, :] = 0 raw._data[stim_channel2_idx, :100] = raw._data[stim_channel_idx, 5:105] events1 = find_events(raw, stim_channel='STI 014') events2 = events1.copy() events2[:, 0] -= 5 events = find_events(raw, stim_channel=['STI 014', stim_channel2]) assert_array_equal(events[::2], events2) assert_array_equal(events[1::2], events1) # test initial_event argument info = create_info(['MYSTI'], 1000, 'stim') data = np.zeros((1, 1000)) raw = RawArray(data, info) data[0, :10] = 100 data[0, 30:40] = 200 assert_array_equal(find_events(raw, 'MYSTI'), [[30, 0, 200]]) assert_array_equal(find_events(raw, 'MYSTI', initial_event=True), [[0, 0, 100], [30, 0, 200]]) # test error message for raw without stim channels raw = read_raw_fif(raw_fname, preload=True) raw.pick_types(meg=True, stim=False) # raw does not have annotations with pytest.raises(ValueError, match="'stim_channel'"): find_events(raw) # if raw has annotations, we show a different error message raw.set_annotations(Annotations(0, 2, "test")) with pytest.raises(ValueError, match="mne.events_from_annotations"): find_events(raw) def test_pick_events(): """Test pick events in a events ndarray.""" events = np.array([[1, 0, 1], [2, 1, 0], [3, 0, 4], [4, 4, 2], [5, 2, 0]]) assert_array_equal(pick_events(events, include=[1, 4], exclude=4), [[1, 0, 1], [3, 0, 4]]) assert_array_equal(pick_events(events, exclude=[0, 2]), [[1, 0, 1], [3, 0, 4]]) assert_array_equal(pick_events(events, include=[1, 2], step=True), [[1, 0, 1], [2, 1, 0], [4, 4, 2], [5, 2, 0]]) def test_make_fixed_length_events(): """Test making events of a fixed length.""" raw = read_raw_fif(raw_fname) events = make_fixed_length_events(raw, id=1) assert events.shape[1] == 3 events_zero = make_fixed_length_events(raw, 1, first_samp=False) assert_equal(events_zero[0, 0], 0) assert_array_equal(events_zero[:, 0], events[:, 0] - raw.first_samp) # With limits tmin, tmax = raw.times[[0, -1]] duration = tmax - tmin events = make_fixed_length_events(raw, 1, tmin, tmax, duration) assert_equal(events.shape[0], 1) # With bad limits (no resulting events) pytest.raises(ValueError, make_fixed_length_events, raw, 1, tmin, tmax - 1e-3, duration) # not raw, bad id or duration pytest.raises(TypeError, make_fixed_length_events, raw, 2.3) pytest.raises(TypeError, make_fixed_length_events, 'not raw', 2) pytest.raises(TypeError, make_fixed_length_events, raw, 23, tmin, tmax, 'abc') # Let's try some ugly sample rate/sample count combos data = np.random.RandomState(0).randn(1, 27768) # This breaks unless np.round() is used in make_fixed_length_events info = create_info(1, 155.4499969482422) raw = RawArray(data, info) events = make_fixed_length_events(raw, 1, duration=raw.times[-1]) assert events[0, 0] == 0 assert len(events) == 1 # Without use_rounding=True this breaks raw = RawArray(data[:, :21216], info) events = make_fixed_length_events(raw, 1, duration=raw.times[-1]) assert events[0, 0] == 0 assert len(events) == 1 # Make sure it gets used properly by compute_raw_covariance cov = compute_raw_covariance(raw, tstep=None) expected = np.cov(data[:, :21216]) assert_allclose(cov['data'], expected, atol=1e-12) # overlaps events = make_fixed_length_events(raw, 1, duration=1) assert len(events) == 136 events_ol = make_fixed_length_events(raw, 1, duration=1, overlap=0.5) assert len(events_ol) == 271 events_ol_2 = make_fixed_length_events(raw, 1, duration=1, overlap=0.9) assert len(events_ol_2) == 1355 assert_array_equal(events_ol_2[:, 0], np.unique(events_ol_2[:, 0])) with pytest.raises(ValueError, match='overlap must be'): make_fixed_length_events(raw, 1, duration=1, overlap=1.1) def test_define_events(): """Test defining response events.""" events = read_events(fname) raw = read_raw_fif(raw_fname) events_, _ = define_target_events(events, 5, 32, raw.info['sfreq'], .2, 0.7, 42, 99) n_target = events[events[:, 2] == 5].shape[0] n_miss = events_[events_[:, 2] == 99].shape[0] n_target_ = events_[events_[:, 2] == 42].shape[0] assert (n_target_ == (n_target - n_miss)) events = np.array([[0, 0, 1], [375, 0, 2], [500, 0, 1], [875, 0, 3], [1000, 0, 1], [1375, 0, 3], [1100, 0, 1], [1475, 0, 2], [1500, 0, 1], [1875, 0, 2]]) true_lag_nofill = [1500., 1500., 1500.] true_lag_fill = [1500., np.nan, np.nan, 1500., 1500.] n, lag_nofill = define_target_events(events, 1, 2, 250., 1.4, 1.6, 5) n, lag_fill = define_target_events(events, 1, 2, 250., 1.4, 1.6, 5, 99) assert_array_equal(true_lag_fill, lag_fill) assert_array_equal(true_lag_nofill, lag_nofill) @testing.requires_testing_data def test_acqparser(): """Test AcqParserFIF.""" # no acquisition parameters pytest.raises(ValueError, AcqParserFIF, {'acq_pars': ''}) # invalid acquisition parameters pytest.raises(ValueError, AcqParserFIF, {'acq_pars': 'baaa'}) pytest.raises(ValueError, AcqParserFIF, {'acq_pars': 'ERFVersion\n1'}) # test oldish file raw = read_raw_fif(raw_fname, preload=False) acqp = AcqParserFIF(raw.info) # test __repr__() assert (repr(acqp)) # old file should trigger compat mode assert (acqp.compat) # count events and categories assert_equal(len(acqp.categories), 6) assert_equal(len(acqp._categories), 17) assert_equal(len(acqp.events), 6) assert_equal(len(acqp._events), 17) # get category assert (acqp['Surprise visual']) # test TRIUX file raw = read_raw_fif(fname_raw_elekta, preload=False) acqp = raw.acqparser assert (acqp is raw.acqparser) # same one, not regenerated # test __repr__() assert (repr(acqp)) # this file should not be in compatibility mode assert (not acqp.compat) # nonexistent category pytest.raises(KeyError, acqp.__getitem__, 'does not exist') pytest.raises(KeyError, acqp.get_condition, raw, 'foo') # category not a string pytest.raises(TypeError, acqp.__getitem__, 0) # number of events / categories assert_equal(len(acqp), 7) assert_equal(len(acqp.categories), 7) assert_equal(len(acqp._categories), 32) assert_equal(len(acqp.events), 6) assert_equal(len(acqp._events), 32) # get category assert (acqp['Test event 5']) @testing.requires_testing_data def test_acqparser_averaging(): """Test averaging with AcqParserFIF vs. Elekta software.""" raw = read_raw_fif(fname_raw_elekta, preload=True) acqp = AcqParserFIF(raw.info) for cat in acqp.categories: # XXX datasets match only when baseline is applied to both, # not sure where relative dc shift comes from cond = acqp.get_condition(raw, cat) eps = Epochs(raw, baseline=(-.05, 0), **cond) ev = eps.average() ev_ref = read_evokeds(fname_ave_elekta, cat['comment'], baseline=(-.05, 0), proj=False) ev_mag = ev.copy() ev_mag.pick_channels(['MEG0111']) ev_grad = ev.copy() ev_grad.pick_channels(['MEG2643', 'MEG1622']) ev_ref_mag = ev_ref.copy() ev_ref_mag.pick_channels(['MEG0111']) ev_ref_grad = ev_ref.copy() ev_ref_grad.pick_channels(['MEG2643', 'MEG1622']) assert_allclose(ev_mag.data, ev_ref_mag.data, rtol=0, atol=1e-15) # tol = 1 fT # Elekta put these in a different order assert ev_grad.ch_names[::-1] == ev_ref_grad.ch_names assert_allclose(ev_grad.data[::-1], ev_ref_grad.data, rtol=0, atol=1e-13) # tol = 1 fT/cm def test_shift_time_events(): """Test events latency shift by a given amount.""" events = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2]]) EXPECTED = [1, 2, 3] new_events = shift_time_events(events, ids=None, tshift=1, sfreq=1) assert all(new_events[:, 0] == EXPECTED) events = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2]]) EXPECTED = [0, 2, 3] new_events = shift_time_events(events, ids=[1, 2], tshift=1, sfreq=1) assert all(new_events[:, 0] == EXPECTED)

06e2f7c7a167269cfb3d4b12db86e379b7fbdd6c

py

Python

sdl2/surface.py

cmitu/py-sdl2

d178fe2a3c86e1cdfdf3cc77920b98b572d86a2d

2017-08-19T00:51:59.000Z

2022-02-05T19:39:33.000Z

sdl2/surface.py

cmitu/py-sdl2

d178fe2a3c86e1cdfdf3cc77920b98b572d86a2d

2017-08-20T17:13:05.000Z

2022-02-05T20:20:01.000Z

sdl2/surface.py

cmitu/py-sdl2

d178fe2a3c86e1cdfdf3cc77920b98b572d86a2d

2017-08-20T17:13:00.000Z

2022-01-14T23:51:13.000Z

from ctypes import CFUNCTYPE, Structure, POINTER, c_int, c_void_p from .dll import _bind from .stdinc import Uint8, Uint32, SDL_bool from .blendmode import SDL_BlendMode from .rect import SDL_Rect from .pixels import SDL_PixelFormat, SDL_Palette from .rwops import SDL_RWops, SDL_RWFromFile __all__ = [ # Structs & Opaque Types "SDL_BlitMap", "SDL_Surface", # Defines "SDL_SWSURFACE", "SDL_PREALLOC", "SDL_RLEACCEL", "SDL_DONTFREE", "SDL_SIMD_ALIGNED", # Macro Functions "SDL_MUSTLOCK", # Functions "SDL_CreateRGBSurface", "SDL_CreateRGBSurfaceFrom", "SDL_FreeSurface", "SDL_SetSurfacePalette", "SDL_LockSurface", "SDL_UnlockSurface", "SDL_LoadBMP_RW", "SDL_LoadBMP", "SDL_SaveBMP_RW", "SDL_SaveBMP", "SDL_SetSurfaceRLE", "SDL_HasSurfaceRLE", "SDL_HasColorKey", "SDL_SetColorKey", "SDL_GetColorKey", "SDL_SetSurfaceColorMod", "SDL_GetSurfaceColorMod", "SDL_SetSurfaceAlphaMod", "SDL_GetSurfaceAlphaMod", "SDL_SetSurfaceBlendMode", "SDL_GetSurfaceBlendMode", "SDL_SetClipRect", "SDL_GetClipRect", "SDL_ConvertSurface", "SDL_ConvertSurfaceFormat", "SDL_ConvertPixels", "SDL_FillRect", "SDL_FillRects", "SDL_UpperBlit", "SDL_BlitSurface", "SDL_LowerBlit", "SDL_SoftStretch", "SDL_SoftStretchLinear", "SDL_UpperBlitScaled", "SDL_BlitScaled", "SDL_LowerBlitScaled", "SDL_CreateRGBSurfaceWithFormat", "SDL_CreateRGBSurfaceWithFormatFrom", "SDL_DuplicateSurface", "SDL_SetYUVConversionMode", "SDL_GetYUVConversionMode", "SDL_GetYUVConversionModeForResolution", # Callback Functions "SDL_Blit" ] SDL_SWSURFACE = 0 SDL_PREALLOC = 0x00000001 SDL_RLEACCEL = 0x00000002 SDL_DONTFREE = 0x00000004 SDL_SIMD_ALIGNED = 0x00000008 SDL_MUSTLOCK = lambda s: ((s.flags & SDL_RLEACCEL) != 0) SDL_YUV_CONVERSION_MODE = c_int SDL_YUV_CONVERSION_JPEG = 0 SDL_YUV_CONVERSION_BT601 = 1 SDL_YUV_CONVERSION_BT709 = 2 SDL_YUV_CONVERSION_AUTOMATIC = 3 class SDL_BlitMap(c_void_p): pass class SDL_Surface(Structure): _fields_ = [("flags", Uint32), ("format", POINTER(SDL_PixelFormat)), ("w", c_int), ("h", c_int), ("pitch", c_int), ("pixels", c_void_p), ("userdata", c_void_p), ("locked", c_int), ("list_blitmap", c_void_p), ("clip_rect", SDL_Rect), ("map", POINTER(SDL_BlitMap)), ("refcount", c_int) ] SDL_Blit = CFUNCTYPE(c_int, POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)) SDL_CreateRGBSurface = _bind("SDL_CreateRGBSurface", [Uint32, c_int, c_int, c_int, Uint32, Uint32, Uint32, Uint32], POINTER(SDL_Surface)) SDL_CreateRGBSurfaceFrom = _bind("SDL_CreateRGBSurfaceFrom", [c_void_p, c_int, c_int, c_int, c_int, Uint32, Uint32, Uint32, Uint32], POINTER(SDL_Surface)) SDL_CreateRGBSurfaceWithFormat = _bind("SDL_CreateRGBSurfaceWithFormat", [Uint32, c_int, c_int, c_int, Uint32], POINTER(SDL_Surface)) SDL_CreateRGBSurfaceWithFormatFrom = _bind("SDL_CreateRGBSurfaceWithFormatFrom", [c_void_p, c_int, c_int, c_int, c_int, Uint32], POINTER(SDL_Surface)) SDL_FreeSurface = _bind("SDL_FreeSurface", [POINTER(SDL_Surface)]) SDL_SetSurfacePalette = _bind("SDL_SetSurfacePalette", [POINTER(SDL_Surface), POINTER(SDL_Palette)], c_int) SDL_LockSurface = _bind("SDL_LockSurface", [POINTER(SDL_Surface)], c_int) SDL_UnlockSurface = _bind("SDL_UnlockSurface", [POINTER(SDL_Surface)]) SDL_DuplicateSurface = _bind("SDL_DuplicateSurface", [POINTER(SDL_Surface)], POINTER(SDL_Surface), added='2.0.6') SDL_LoadBMP_RW = _bind("SDL_LoadBMP_RW", [POINTER(SDL_RWops), c_int], POINTER(SDL_Surface)) SDL_LoadBMP = lambda fname: SDL_LoadBMP_RW(SDL_RWFromFile(fname, b"rb"), 1) SDL_SaveBMP_RW = _bind("SDL_SaveBMP_RW", [POINTER(SDL_Surface), POINTER(SDL_RWops), c_int], c_int) SDL_SaveBMP = lambda surface, fname: SDL_SaveBMP_RW(surface, SDL_RWFromFile(fname, b"wb"), 1) SDL_SetSurfaceRLE = _bind("SDL_SetSurfaceRLE", [POINTER(SDL_Surface), c_int], c_int) SDL_HasSurfaceRLE = _bind("SDL_HasSurfaceRLE", [POINTER(SDL_Surface)], SDL_bool, added='2.0.14') SDL_HasColorKey = _bind("SDL_HasColorKey", [POINTER(SDL_Surface)], SDL_bool, added='2.0.9') SDL_SetColorKey = _bind("SDL_SetColorKey", [POINTER(SDL_Surface), c_int, Uint32], c_int) SDL_GetColorKey = _bind("SDL_GetColorKey", [POINTER(SDL_Surface), POINTER(Uint32)], c_int) SDL_SetSurfaceColorMod = _bind("SDL_SetSurfaceColorMod", [POINTER(SDL_Surface), Uint8, Uint8, Uint8], c_int) SDL_GetSurfaceColorMod = _bind("SDL_GetSurfaceColorMod", [POINTER(SDL_Surface), POINTER(Uint8), POINTER(Uint8), POINTER(Uint8)], c_int) SDL_SetSurfaceAlphaMod = _bind("SDL_SetSurfaceAlphaMod", [POINTER(SDL_Surface), Uint8], c_int) SDL_GetSurfaceAlphaMod = _bind("SDL_GetSurfaceAlphaMod", [POINTER(SDL_Surface), POINTER(Uint8)], c_int) SDL_SetSurfaceBlendMode = _bind("SDL_SetSurfaceBlendMode", [POINTER(SDL_Surface), SDL_BlendMode], c_int) SDL_GetSurfaceBlendMode = _bind("SDL_GetSurfaceBlendMode", [POINTER(SDL_Surface), POINTER(SDL_BlendMode)], c_int) SDL_SetClipRect = _bind("SDL_SetClipRect", [POINTER(SDL_Surface), POINTER(SDL_Rect)], SDL_bool) SDL_GetClipRect = _bind("SDL_GetClipRect", [POINTER(SDL_Surface), POINTER(SDL_Rect)]) SDL_ConvertSurface = _bind("SDL_ConvertSurface", [POINTER(SDL_Surface), POINTER(SDL_PixelFormat), Uint32], POINTER(SDL_Surface)) SDL_ConvertSurfaceFormat = _bind("SDL_ConvertSurfaceFormat", [POINTER(SDL_Surface), Uint32, Uint32], POINTER(SDL_Surface)) SDL_ConvertPixels = _bind("SDL_ConvertPixels", [c_int, c_int, Uint32, c_void_p, c_int, Uint32, c_void_p, c_int], c_int) SDL_FillRect = _bind("SDL_FillRect", [POINTER(SDL_Surface), POINTER(SDL_Rect), Uint32], c_int) SDL_FillRects = _bind("SDL_FillRects", [POINTER(SDL_Surface), POINTER(SDL_Rect), c_int, Uint32], c_int) SDL_UpperBlit = _bind("SDL_UpperBlit", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int) SDL_BlitSurface = SDL_UpperBlit SDL_LowerBlit = _bind("SDL_LowerBlit", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int) SDL_SoftStretch = _bind("SDL_SoftStretch", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int) SDL_SoftStretchLinear = _bind("SDL_SoftStretchLinear", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int, added='2.0.16') SDL_UpperBlitScaled = _bind("SDL_UpperBlitScaled", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int) SDL_BlitScaled = SDL_UpperBlitScaled SDL_LowerBlitScaled = _bind("SDL_LowerBlitScaled", [POINTER(SDL_Surface), POINTER(SDL_Rect), POINTER(SDL_Surface), POINTER(SDL_Rect)], c_int) SDL_SetYUVConversionMode = _bind("SDL_SetYUVConversionMode", [SDL_YUV_CONVERSION_MODE], None, added='2.0.8') SDL_GetYUVConversionMode = _bind("SDL_GetYUVConversionMode", None, SDL_YUV_CONVERSION_MODE, added='2.0.8') SDL_GetYUVConversionModeForResolution = _bind("SDL_GetYUVConversionModeForResolution", [c_int, c_int], SDL_YUV_CONVERSION_MODE, added='2.0.8')

7fc81868643d58ce070b66c53c9024cc6415dfd0

py

Python

maize/util/chain_utils.py

denern/maize-blockchain

b8639899f44b03232dda90c706d061e5e1158ca3

2021-07-21T19:45:05.000Z

2022-02-09T04:29:51.000Z

maize/util/chain_utils.py

denern/maize-blockchain

b8639899f44b03232dda90c706d061e5e1158ca3

2021-07-24T09:30:46.000Z

2021-12-05T19:51:29.000Z

maize/util/chain_utils.py

denern/maize-blockchain

b8639899f44b03232dda90c706d061e5e1158ca3

2021-10-04T17:33:47.000Z

2022-03-15T08:37:51.000Z

from typing import List from clvm.casts import int_from_bytes from maize.types.blockchain_format.coin import Coin from maize.types.blockchain_format.program import SerializedProgram from maize.types.blockchain_format.sized_bytes import bytes32 from maize.types.condition_opcodes import ConditionOpcode from maize.util.condition_tools import ( conditions_dict_for_solution, created_outputs_for_conditions_dict, ) def additions_for_solution( coin_name: bytes32, puzzle_reveal: SerializedProgram, solution: SerializedProgram, max_cost: int ) -> List[Coin]: """ Checks the conditions created by CoinSpend and returns the list of all coins created """ err, dic, cost = conditions_dict_for_solution(puzzle_reveal, solution, max_cost) if err or dic is None: return [] return created_outputs_for_conditions_dict(dic, coin_name) def fee_for_solution(puzzle_reveal: SerializedProgram, solution: SerializedProgram, max_cost: int) -> int: err, dic, cost = conditions_dict_for_solution(puzzle_reveal, solution, max_cost) if err or dic is None: return 0 total = 0 for cvp in dic.get(ConditionOpcode.RESERVE_FEE, []): amount_bin = cvp.vars[0] amount = int_from_bytes(amount_bin) total += amount return total

8e8c2de39def63382d0cac2b61d8f9e82f5e29d9

py

Python

builder/settings.py

mscroggs/defelement.com

0cfc01a0cc3b801ef10ede12bf64f77a6a70efb1

2020-12-30T17:24:46.000Z

2022-02-16T22:10:47.000Z

builder/settings.py

mscroggs/defelement.com

0cfc01a0cc3b801ef10ede12bf64f77a6a70efb1

2021-01-09T09:44:45.000Z

2022-03-26T07:34:00.000Z

builder/settings.py

mscroggs/defelement.com

0cfc01a0cc3b801ef10ede12bf64f77a6a70efb1

2022-03-28T08:15:38.000Z

2022-03-28T08:15:38.000Z

import os as _os dir_path = _os.path.join(_os.path.dirname(_os.path.realpath(__file__)), "..") element_path = _os.path.join(dir_path, "elements") template_path = _os.path.join(dir_path, "templates") files_path = _os.path.join(dir_path, "files") pages_path = _os.path.join(dir_path, "pages") data_path = _os.path.join(dir_path, "data") img_path = _os.path.join(dir_path, "img") html_path = _os.path.join(dir_path, "_html") htmlelement_path = _os.path.join(html_path, "elements") htmlimg_path = _os.path.join(html_path, "img") htmlindices_path = _os.path.join(html_path, "lists") htmlfamilies_path = _os.path.join(html_path, "families") github_token = None

eaa35e1933dc2ea319add0347a60d1282bea483e

py

Python

my_codes/input/eos.py

iwamura-lab/my_codes

70140fe81b70d7ea4969c442771db40054cc109e

my_codes/input/eos.py

iwamura-lab/my_codes

70140fe81b70d7ea4969c442771db40054cc109e

my_codes/input/eos.py

iwamura-lab/my_codes

70140fe81b70d7ea4969c442771db40054cc109e

#!/usr/bin/env python import shutil if __name__ == "__main__": f = open("./original/POSCAR", "r") content = [column for column in f] f.close() for i in range(99): content[1] = str(7.00 + (i + 1) / 10**4) + "\n" fpath = "7_00" + str(i + 1).zfill(2) shutil.copytree("./original", "./" + fpath) f = open(fpath + "/POSCAR", "w") for column in content: print(column, file=f, end=" ") f.close()

c598d36796c4526459241dfe9f292a7c2038c5ea

py

Python

destacame/buses/migrations/0002_rename_buss_buss2.py

osocaramelosofer/destacame

7b816be1d785bcd6525265d708c584545490816e

destacame/buses/migrations/0002_rename_buss_buss2.py

osocaramelosofer/destacame

7b816be1d785bcd6525265d708c584545490816e

destacame/buses/migrations/0002_rename_buss_buss2.py

osocaramelosofer/destacame

7b816be1d785bcd6525265d708c584545490816e

# Generated by Django 3.2.12 on 2022-03-12 19:16 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('buses', '0001_initial'), ] operations = [ migrations.RenameModel( old_name='Buss', new_name='Buss2', ), ]

0b45c27f40b81a62f5615b7981e0e0d98e568468

py

Python

library/rabbitmq_queue.py

joe-pll/rabbitmq-ansible-modules

e56ff0caa650c7417d32d39b7e6e961e8ce5e124

library/rabbitmq_queue.py

joe-pll/rabbitmq-ansible-modules

e56ff0caa650c7417d32d39b7e6e961e8ce5e124

library/rabbitmq_queue.py

joe-pll/rabbitmq-ansible-modules

e56ff0caa650c7417d32d39b7e6e961e8ce5e124

#!/usr/bin/python # (c) 2017, Giuseppe Pellegrino <[email protected]> ANSIBLE_METADATA = {'metadata_version': '1.0', 'status': ['preview'], 'supported_by': 'community'} DOCUMENTATION = ''' --- module: rabbitmq_queue short_description: Manage RabbitMQ vhost description: - Create, delete, update a RabbitMQ virtual host. requirements: [ "requests >= 1.0.0" ] author: '"Giuseppe Pellegrino @joe-pll"' options: arguments: description: - Extra arguments for the queue. - This argument is a key/value dictionary auto_delete: description: - If yes, the queue will delete itself after at least one consumer has connected, and then all consumers have disconnected. required: false choices: [yes, no] default: no auto_expires: description: - How long a queue can be unused for before it is automatically deleted (milliseconds). required: false dead_letter_exchange: description: - Optional name of an exchange to which messages will be republished if they are rejected or expire. required: false dead_letter_routing_key: description: - Optional replacement routing key to use when a message is dead-lettered. If this is not set, the message's original routing key will be used. required: false durable: description: - Durable queues are persisted to disk and thus survive broker restarts. required: false default: yes choices: [yes, no] login_host: description: - The RabbitMQ REST API endpoint host required: false default: localhost login_port: description: - The RabbitMQ REST API endpoint port required: false default: 15672 login_user: description: - The user to authenticate with in RabbitMQ default: guest required: false login_password: description: - The password of the user that authenticate in RabbitMQ default: guest required: false max_length: description: - How many (ready) messages a queue can contain before it starts to drop them from its head. required: false max_length_bytes: description: - Total body size for ready messages a queue can contain before it starts to drop them from its head. required: false maximum_priority: description: - Maximum number of priority levels for the queue to support; if not set, the queue will not support message priorities. required: false message_ttl: description: - How long a message published to a queue can live before it is discarded (milliseconds). required: false name: description: - The name of the queue to create or update required: true default: null aliases: [queue] queue_mode: description: - The mode of the queue under which it can operate default: default choices: [default, lazy] ssl_enabled: description: - Whether or not RabbitMQ is listening on HTTPS default: false required: false ssl_verify: description: - Whether or not there must be a SSL certificate verification state: description: - The state of vhost default: present choices: [present, absent] ''' EXAMPLES = ''' # Ensure that the queue 'test' exists. - rabbitmq_queue: login_host: rabbitmq.example.com login_user: myuser login_password: mypassword name: test state: present vhost: /vhost message_ttl: 50000 # Ensure that the user another_user has all the permissions - rabbitmq_queue: login_host: rabbitmq.example.com login_user: myuser login_password: mypassword name: test state: present vhost: /vhost maximum_priority: 2 arguments: x-message-ttl: 50000 # Ensure that the queue 'test' is not present - rabbitmq_queue: login_host: rabbitmq.example.com login_user: myuser login_password: mypassword name: test vhost: '/vhost' state: absent ''' import urllib from ansible.module_utils.rabbitmq_common import RabbitMQ ARGUMENTS_TRANSLATOR = { "auto_expires": "x-expires", "dead_letter_exchange": "x-dead-letter-exchange", "dead_letter_routing_key": "x-dead-letter-routing-key", "max_length": "x-max-length", "max_length_bytes": "x-max-length-bytes", "maximum_priority": "x-max-priority", "message_ttl": "x-message-ttl", "queue_mode": "x-queue-mode", } class RabbitMQQueue(RabbitMQ): def __init__(self): self.arguments_spec = dict( arguments=dict(type='dict', default=dict(), required=False), auto_delete=dict(type='bool', default=False, required=False), auto_expires=dict(type='int', default=None, required=False), dead_letter_exchange=dict(type='str', default=None, required=False), dead_letter_routing_key=dict(type='str', default=None, required=False), durable=dict(type='bool', default=True, required=False), max_length=dict(type='int', default=None, required=False), max_length_bytes=dict(type='int', default=None, required=False), maximum_priority=dict(type='int', default=None, required=False), message_ttl=dict(type='int', default=None, required=False), name=dict(type='str', required=True, aliases=['queue']), queue_mode=dict(type='str', default='default', choices=['default', 'lazy']), vhost=dict(type='str', default='/', required=False), state=dict(type='str', default='present', choices=['present', 'absent']), ) super(RabbitMQQueue, self).__init__( derived_args_spec=self.arguments_spec, supports_check_mode=True) def _build_path(self): safe_vhost = urllib.quote(self.vhost, '') path = '/api/queues/{vhost}'.format(vhost=safe_vhost) return path def _list(self, path): request = self.rabbitmq_request('get', path=path) self.error_handling(request.status_code) return request.json() def list_queues(self): return self._list(self._build_path()) def list_vhosts(self): return self._list('/api/vhosts') def add_queue(self): path = '/api/queues/{vhost}/{queue}'.format( vhost=urllib.quote(self.vhost, ''), queue=urllib.quote(self.name, '')) queue = dict( durable=self.durable, auto_delete=self.auto_delete, arguments=self.arguments, ) request = self.rabbitmq_request('put', path=path, payload=queue) self.error_handling(request.status_code) def delete_queue(self): path = '/api/queues/{vhost}/{queue}'.format( vhost=urllib.quote(self.vhost, ''), queue=urllib.quote(self.name, '')) request = self.rabbitmq_request('delete', path=path) self.error_handling(request.status_code) def exec_module(self, **params): for key in self.arguments_spec.keys(): setattr(self, key, self.module.params[key]) existing_vhosts_names = [v['name'] for v in self.list_vhosts()] if self.vhost not in existing_vhosts_names: self.fail('Vhost `{vhost}` does not exist ' 'in Rabbitmq.'.format(vhost=self.vhost)) existing_queues = self.list_queues() existing_queues = {q['name']: q for q in existing_queues} if self.state == 'present': for arg_key, arg_value in ARGUMENTS_TRANSLATOR.items(): if getattr(self, arg_key) is not None: self.arguments[arg_value] = getattr(self, arg_key) if self.name not in existing_queues.keys(): self.changed = True if not self.check_mode: self.add_queue() else: opts_changed = False existing_queue = existing_queues[self.name] for arg_k, arg_v in self.arguments.items(): if (arg_k not in existing_queue['arguments'] or arg_v != existing_queue['arguments'][arg_k]): opts_changed = True break if (existing_queue['durable'] != self.durable or existing_queue['auto_delete'] != self.auto_delete): opts_changed = True if opts_changed: self.fail('A queue in RabbitMQ can not be updated. ' 'Delete the queue and re-create a new one.') self.ok = True else: if self.name in existing_queues.keys(): self.changed = True if not self.check_mode: self.delete_queue() else: self.ok = True def main(): """Call the RabbitMQQueue module.""" RabbitMQQueue() if __name__ == "__main__": main()

190b88e1f0ff3a466215e94730c9412eb07aa5e9

py

Python

fusions/robotics/sensor_fusion.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

2022-03-03T12:10:46.000Z

2022-03-08T18:14:40.000Z

fusions/robotics/sensor_fusion.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

fusions/robotics/sensor_fusion.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

2022-03-07T08:18:42.000Z

2022-03-07T08:18:42.000Z

import torch import torch.nn as nn from .models_utils import ( duplicate, gaussian_parameters, product_of_experts, sample_gaussian, ) class SensorFusion(nn.Module): """ # Regular SensorFusionNetwork Architecture Number of parameters: Inputs: image: batch_size x 3 x 128 x 128 force: batch_size x 6 x 32 proprio: batch_size x 8 action: batch_size x action_dim """ def __init__( self, device, z_dim=128, action_dim=4, encoder=False, deterministic=False ): super().__init__() self.z_dim = z_dim self.encoder_bool = encoder self.device = device self.deterministic = deterministic # zero centered, 1 std normal distribution self.z_prior_m = torch.nn.Parameter( torch.zeros(1, self.z_dim), requires_grad=False ) self.z_prior_v = torch.nn.Parameter( torch.ones(1, self.z_dim), requires_grad=False ) self.z_prior = (self.z_prior_m, self.z_prior_v) # ----------------------- # action fusion network # ----------------------- self.st_fusion_fc1 = nn.Sequential( nn.Linear(32 + self.z_dim, 128), nn.LeakyReLU(0.1, inplace=True) ) self.st_fusion_fc2 = nn.Sequential( nn.Linear(128, self.z_dim), nn.LeakyReLU(0.1, inplace=True) ) if deterministic: # ----------------------- # modality fusion network # ----------------------- # 4 Total modalities each (2 * z_dim) self.fusion_fc1 = nn.Sequential( nn.Linear(4 * 2 * self.z_dim, 128), nn.LeakyReLU(0.1, inplace=True) ) self.fusion_fc2 = nn.Sequential( nn.Linear(self.z_dim, self.z_dim), nn.LeakyReLU(0.1, inplace=True) ) # ----------------------- # weight initialization # ----------------------- for m in self.modules(): if isinstance(m, nn.Conv2d) or isinstance(m, nn.ConvTranspose2d): nn.init.kaiming_normal_(m.weight.data) if m.bias is not None: m.bias.data.zero_() elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() def forward_encoder(self, img_encoded, frc_encoded, proprio_encoded, depth_encoded, action_encoded): # Get encoded outputs img_out, img_out_convs = img_encoded depth_out, depth_out_convs = depth_encoded frc_out = frc_encoded proprio_out = proprio_encoded # batch size batch_dim = img_out.size()[0] if self.deterministic: # multimodal embedding mm_f1 = torch.cat([img_out, frc_out, proprio_out, depth_out], 1).squeeze() mm_f2 = self.fusion_fc1(mm_f1) z = self.fusion_fc2(mm_f2) else: # Encoder priors mu_prior, var_prior = self.z_prior # Duplicate prior parameters for each data point in the batch mu_prior_resized = duplicate(mu_prior, batch_dim).unsqueeze(2) var_prior_resized = duplicate(var_prior, batch_dim).unsqueeze(2) # Modality Mean and Variances mu_z_img, var_z_img = gaussian_parameters(img_out, dim=1) mu_z_frc, var_z_frc = gaussian_parameters(frc_out, dim=1) mu_z_proprio, var_z_proprio = gaussian_parameters(proprio_out, dim=1) mu_z_depth, var_z_depth = gaussian_parameters(depth_out, dim=1) # Tile distribution parameters using concatonation m_vect = torch.cat( [mu_z_img, mu_z_frc, mu_z_proprio, mu_z_depth, mu_prior_resized], dim=2 ) var_vect = torch.cat( [var_z_img, var_z_frc, var_z_proprio, var_z_depth, var_prior_resized], dim=2, ) # Fuse modalities mean / variances using product of experts mu_z, var_z = product_of_experts(m_vect, var_vect) # Sample Gaussian to get latent z = sample_gaussian(mu_z, var_z, self.device) if self.encoder_bool or action_encoded is None: if self.deterministic: return img_out, frc_out, proprio_out, depth_out, z else: return img_out_convs, img_out, frc_out, proprio_out, depth_out, z else: # action embedding act_feat = action_encoded # state-action feature mm_act_f1 = torch.cat([z, act_feat], 1) mm_act_f2 = self.st_fusion_fc1(mm_act_f1) mm_act_feat = self.st_fusion_fc2(mm_act_f2) if self.deterministic: return img_out_convs, mm_act_feat, z else: return img_out_convs, mm_act_feat, z, mu_z, var_z, mu_prior, var_prior def weight_parameters(self): return [param for name, param in self.named_parameters() if "weight" in name] def bias_parameters(self): return [param for name, param in self.named_parameters() if "bias" in name] class SensorFusionSelfSupervised(SensorFusion): """ Regular SensorFusionNetwork Architecture Inputs: image: batch_size x 3 x 128 x 128 force: batch_size x 6 x 32 proprio: batch_size x 8 action: batch_size x action_dim """ def __init__( self, device, z_dim=128, encoder=False, deterministic=False ): super().__init__(device, z_dim, encoder, deterministic) self.deterministic = deterministic def forward(self, input, training=False): img_encoded, frc_encoded, proprio_encoded, depth_encoded, action_encoded = input if self.encoder_bool: # returning latent space representation if model is set in encoder mode z = self.forward_encoder(img_encoded, frc_encoded, proprio_encoded, depth_encoded, action_encoded) return z elif action_encoded is None: z = self.forward_encoder(img_encoded, frc_encoded, proprio_encoded, depth_encoded, None) pair_out = self.pair_fc(z) return pair_out else: if self.deterministic: img_out_convs, mm_act_feat, z = self.forward_encoder( img_encoded, frc_encoded, proprio_encoded, depth_encoded, action_encoded ) else: img_out_convs, mm_act_feat, z, mu_z, var_z, mu_prior, var_prior = self.forward_encoder( img_encoded, frc_encoded, proprio_encoded, depth_encoded, action_encoded, ) # ---------------- Training Objectives ---------------- # tile state-action features and append to conv map batch_dim = mm_act_feat.size(0) # batch size tiled_feat = mm_act_feat.view(batch_dim, self.z_dim, 1, 1).expand(-1, -1, 2, 2) if self.deterministic: return z, mm_act_feat, tiled_feat, img_out_convs else: return z, mm_act_feat, tiled_feat, img_out_convs, mu_z, var_z, mu_prior, var_prior class roboticsConcat(nn.Module): def __init__(self,name=None): super(roboticsConcat,self).__init__() self.name=name def forward(self,x,training=False): #print(x[0][0].size()) #print(x[1].size()) #print(x[2].size()) #print(x[3][0].size()) #print(x[4].size()) if self.name=="noconcat": return [x[0][0].squeeze(),x[1].squeeze(),x[2].squeeze(),x[3][0].squeeze(),x[4]] if self.name=="image": return torch.cat([x[0][0].squeeze(),x[1][0].squeeze(),x[2]],1) if self.name=="simple": return torch.cat([x[0].squeeze(),x[1]],1) return torch.cat([x[0][0].squeeze(),x[1].squeeze(),x[2].squeeze(),x[3][0].squeeze(),x[4]],1)

3bf99daee5f757406887aa6187264073f6f75a6b

py

Python

manage.py

Code-Forever-com/Django-CMS

6a61d4b796f1177e3a342d975ebaa1d1589fc40a

manage.py

Code-Forever-com/Django-CMS

6a61d4b796f1177e3a342d975ebaa1d1589fc40a

manage.py

Code-Forever-com/Django-CMS

6a61d4b796f1177e3a342d975ebaa1d1589fc40a

#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_cms.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

04d05d89ebcc070461b0c57b86a32d4a1dae759c

py

Python

Codewars/Unique_in_order - (6 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

Codewars/Unique_in_order - (6 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

Codewars/Unique_in_order - (6 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

def unique_in_order(iterable): result = [] for x in iterable: if len(result) < 1 or not x == result[len(result) - 1]: result.append(x) return result print(unique_in_order('AAAABBBCCDAABBB'))

10f4d5b924f334ba6c61210173b806f155073185

py

Python

venv/Lib/site-packages/google/api_core/version.py

alexandermarquesm/DiscordBot

7b0829f885c728538bee5e9df53248213885c199

2020-12-30T06:37:10.000Z

2021-03-05T11:56:04.000Z

venv/Lib/site-packages/google/api_core/version.py

alexandermarquesm/DiscordBot

7b0829f885c728538bee5e9df53248213885c199

venv/Lib/site-packages/google/api_core/version.py

alexandermarquesm/DiscordBot

7b0829f885c728538bee5e9df53248213885c199

2020-12-21T03:53:03.000Z

2020-12-21T03:53:03.000Z

# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. __version__ = "1.24.1"

ef9be003cfe7d14435f8f0d3cba8e1e87e0e3059

py

Python

tests/simulation/test_simulator.py

mbnunes/hathor-core

e5e0d4a627341e2a37ee46db5c9354ddb7f8dfb8

tests/simulation/test_simulator.py

mbnunes/hathor-core

e5e0d4a627341e2a37ee46db5c9354ddb7f8dfb8

tests/simulation/test_simulator.py

mbnunes/hathor-core

e5e0d4a627341e2a37ee46db5c9354ddb7f8dfb8

from typing import Optional import pytest from hathor.simulator import FakeConnection, Simulator from tests import unittest class SimulatorTestCase(unittest.TestCase): __test__ = False seed_config: Optional[int] = None def setUp(self): super().setUp() self.simulator = Simulator(self.seed_config) self.simulator.start() print('-'*30) print('Simulation seed config:', self.simulator.seed) print('-'*30) def tearDown(self): self.simulator.stop() super().tearDown() def create_peer(self, enable_sync_v1=None, enable_sync_v2=None): if enable_sync_v1 is None: assert hasattr(self, '_enable_sync_v1'), ('`_enable_sync_v1` has no default by design, either set one on ' 'the test class or pass `enable_sync_v1` by argument') enable_sync_v1 = self._enable_sync_v1 if enable_sync_v2 is None: assert hasattr(self, '_enable_sync_v2'), ('`_enable_sync_v2` has no default by design, either set one on ' 'the test class or pass `enable_sync_v2` by argument') enable_sync_v2 = self._enable_sync_v2 assert enable_sync_v1 or enable_sync_v2, 'enable at least one sync version' return self.simulator.create_peer( peer_id=self.get_random_peer_id_from_pool(), enable_sync_v1=enable_sync_v1, enable_sync_v2=enable_sync_v2, ) class BaseRandomSimulatorTestCase(SimulatorTestCase): def test_one_node(self): manager1 = self.create_peer() miner1 = self.simulator.create_miner(manager1, hashpower=100e6) miner1.start() self.simulator.run(10) gen_tx1 = self.simulator.create_tx_generator(manager1, rate=2 / 60., hashpower=1e6, ignore_no_funds=True) gen_tx1.start() self.simulator.run(60 * 60) def test_two_nodes(self): manager1 = self.create_peer() manager2 = self.create_peer() miner1 = self.simulator.create_miner(manager1, hashpower=10e6) miner1.start() self.simulator.run(10) gen_tx1 = self.simulator.create_tx_generator(manager1, rate=3 / 60., hashpower=1e6, ignore_no_funds=True) gen_tx1.start() self.simulator.run(60) conn12 = FakeConnection(manager1, manager2, latency=0.150) self.simulator.add_connection(conn12) self.simulator.run(60) miner2 = self.simulator.create_miner(manager2, hashpower=100e6) miner2.start() self.simulator.run(120) gen_tx2 = self.simulator.create_tx_generator(manager2, rate=10 / 60., hashpower=1e6, ignore_no_funds=True) gen_tx2.start() self.simulator.run(10 * 60) miner1.stop() miner2.stop() gen_tx1.stop() gen_tx2.stop() self.simulator.run(5 * 60) self.assertTrue(conn12.is_connected) self.assertTipsEqual(manager1, manager2) def test_many_miners_since_beginning(self): nodes = [] miners = [] for hashpower in [10e6, 5e6, 1e6, 1e6, 1e6]: manager = self.create_peer() for node in nodes: conn = FakeConnection(manager, node, latency=0.085) self.simulator.add_connection(conn) nodes.append(manager) miner = self.simulator.create_miner(manager, hashpower=hashpower) miner.start() miners.append(miner) self.simulator.run(600) for miner in miners: miner.stop() self.simulator.run(15) for node in nodes[1:]: self.assertTipsEqual(nodes[0], node) @pytest.mark.flaky(max_runs=5, min_passes=1) def test_new_syncing_peer(self): nodes = [] miners = [] tx_generators = [] manager = self.create_peer() nodes.append(manager) miner = self.simulator.create_miner(manager, hashpower=10e6) miner.start() miners.append(miner) self.simulator.run(600) for hashpower in [10e6, 8e6, 5e6]: manager = self.create_peer() for node in nodes: conn = FakeConnection(manager, node, latency=0.085) self.simulator.add_connection(conn) nodes.append(manager) miner = self.simulator.create_miner(manager, hashpower=hashpower) miner.start() miners.append(miner) for i, rate in enumerate([5, 4, 3]): tx_gen = self.simulator.create_tx_generator(nodes[i], rate=rate * 1 / 60., hashpower=1e6, ignore_no_funds=True) tx_gen.start() tx_generators.append(tx_gen) self.simulator.run(600) self.log.debug('adding late node') late_manager = self.create_peer() for node in nodes: conn = FakeConnection(late_manager, node, latency=0.300) self.simulator.add_connection(conn) self.simulator.run(600) for tx_gen in tx_generators: tx_gen.stop() for miner in miners: miner.stop() self.simulator.run_until_complete(600) for idx, node in enumerate(nodes): self.log.debug(f'checking node {idx}') self.assertConsensusValid(node) self.assertConsensusEqual(node, late_manager) class SyncV1RandomSimulatorTestCase(unittest.SyncV1Params, BaseRandomSimulatorTestCase): __test__ = True class SyncV2RandomSimulatorTestCase(unittest.SyncV2Params, BaseRandomSimulatorTestCase): __test__ = True # sync-bridge should behave like sync-v2 class SyncBridgeRandomSimulatorTestCase(unittest.SyncBridgeParams, SyncV2RandomSimulatorTestCase): __test__ = True

45562e4e36572bc587246facac1cdc9285bb7c68

py

Python

src/aioredis_cluster/command_info/__init__.py

VadimPushtaev/aioredis-cluster

754797c1c6f864cf1436ff3bd82aa3f61a750724

2020-12-11T16:56:55.000Z

2021-12-14T21:18:46.000Z

src/aioredis_cluster/command_info/__init__.py

VadimPushtaev/aioredis-cluster

754797c1c6f864cf1436ff3bd82aa3f61a750724

2021-02-21T13:10:07.000Z

2021-11-15T11:06:36.000Z

src/aioredis_cluster/command_info/__init__.py

VadimPushtaev/aioredis-cluster

754797c1c6f864cf1436ff3bd82aa3f61a750724

2021-11-09T14:37:59.000Z

2022-03-18T07:25:33.000Z

from typing import AnyStr, FrozenSet, List, NoReturn, Sequence import attr from aioredis_cluster.util import ensure_str from .commands import COMMANDS __all__ = [ "COMMANDS", "CommandsRegistry", "CommandInfo", "CommandInfoError", "UnknownCommandError", "InvalidCommandError", "extract_keys", "create_registry", ] class CommandInfoError(Exception): pass class UnknownCommandError(CommandInfoError): def __init__(self, command: str) -> None: super().__init__(command) self.command = command class InvalidCommandError(CommandInfoError): pass def _raise_wrong_num_of_arguments(cmd) -> NoReturn: raise InvalidCommandError(f"Wrong number of arguments for {cmd.name!r} command") @attr.s(slots=True, frozen=True) class CommandInfo: name: str = attr.ib() arity: int = attr.ib() flags: FrozenSet[str] = attr.ib() first_key_arg: int = attr.ib() last_key_arg: int = attr.ib() key_args_step: int = attr.ib() def is_readonly(self) -> bool: return "readonly" in self.flags class CommandsRegistry: def __init__(self, commands: Sequence[CommandInfo]) -> None: self._commands = {cmd.name: cmd for cmd in commands} def get_info(self, cmd: AnyStr) -> CommandInfo: cmd_name = ensure_str(cmd).upper() try: info = self._commands[cmd_name] except KeyError: raise UnknownCommandError(cmd_name) from None return info def size(self) -> int: return len(self._commands) def _extract_keys_general(info: CommandInfo, exec_command: Sequence[bytes]) -> List[bytes]: keys: List[bytes] = [] if info.first_key_arg <= 0: return [] if info.last_key_arg == -1: last_key_arg = len(exec_command) - 1 else: last_key_arg = info.last_key_arg num_of_args = last_key_arg - info.first_key_arg + 1 if info.key_args_step > 1 and num_of_args % info.key_args_step != 0: _raise_wrong_num_of_arguments(info) for key_idx in range(info.first_key_arg, last_key_arg + 1, info.key_args_step): keys.append(exec_command[key_idx]) return keys def _extract_keys_eval(info: CommandInfo, exec_command: Sequence[bytes]) -> List[bytes]: abs_arity = abs(info.arity) num_of_keys = int(exec_command[abs_arity - 1]) keys = exec_command[abs_arity : abs_arity + num_of_keys] if len(keys) != num_of_keys: _raise_wrong_num_of_arguments(info) return list(keys) def extract_keys(info: CommandInfo, exec_command: Sequence[bytes]) -> List[bytes]: if len(exec_command) < 1: raise ValueError("Execute command is empty") cmd_name = ensure_str(exec_command[0]).upper() if info.name != cmd_name: raise ValueError(f"Incorrect info command: {info.name} != {cmd_name}") if info.arity > 0 and len(exec_command) > info.arity or len(exec_command) < abs(info.arity): _raise_wrong_num_of_arguments(info) # special parsing for command if info.name in {"EVAL", "EVALSHA"}: keys = _extract_keys_eval(info, exec_command) else: keys = _extract_keys_general(info, exec_command) return keys def create_registry(raw_commands: Sequence[List]) -> CommandsRegistry: cmds = [] for raw_cmd in raw_commands: first_key_arg = raw_cmd[3] last_key_arg = raw_cmd[4] key_args_step = raw_cmd[5] if first_key_arg >= 1 and (key_args_step == 0 or last_key_arg == 0): raise ValueError("Incorrect command") cmd = CommandInfo( name=raw_cmd[0].upper(), arity=raw_cmd[1], flags=frozenset(raw_cmd[2]), first_key_arg=first_key_arg, last_key_arg=last_key_arg, key_args_step=key_args_step, ) cmds.append(cmd) return CommandsRegistry(cmds) default_registry = create_registry(COMMANDS)

828f30c40eba787d10efc63cf2f74b3c9b7c8ca0

py

Python

tensorflow/python/framework/dtypes.py

yolman230/tensorflow

8180678e1b71f9e4326b9d84987d78232000bac2

2018-06-21T13:47:23.000Z

2020-05-13T09:31:47.000Z

tensorflow/python/framework/dtypes.py

kaist-ina/tensorflow

169124c0c9630b719e7f0e55722c38c7ecd6c5ac

2021-08-25T16:14:13.000Z

2022-02-10T04:19:15.000Z

tensorflow/python/framework/dtypes.py

kaist-ina/tensorflow

169124c0c9630b719e7f0e55722c38c7ecd6c5ac

2018-09-06T14:18:32.000Z

2020-05-14T06:35:30.000Z

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Library of dtypes (Tensor element types).""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from six.moves import builtins from tensorflow.core.framework import types_pb2 # We need to import pywrap_tensorflow prior to the bfloat wrapper to avoid # protobuf errors where a file is defined twice on MacOS. # pylint: disable=invalid-import-order,g-bad-import-order from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python import _pywrap_bfloat16 from tensorflow.python import _dtypes from tensorflow.python.util.tf_export import tf_export _np_bfloat16 = _pywrap_bfloat16.TF_bfloat16_type() # pylint: disable=slots-on-old-class @tf_export("dtypes.DType", "DType") class DType(_dtypes.DType): """Represents the type of the elements in a `Tensor`. The following `DType` objects are defined: * `tf.float16`: 16-bit half-precision floating-point. * `tf.float32`: 32-bit single-precision floating-point. * `tf.float64`: 64-bit double-precision floating-point. * `tf.bfloat16`: 16-bit truncated floating-point. * `tf.complex64`: 64-bit single-precision complex. * `tf.complex128`: 128-bit double-precision complex. * `tf.int8`: 8-bit signed integer. * `tf.uint8`: 8-bit unsigned integer. * `tf.uint16`: 16-bit unsigned integer. * `tf.uint32`: 32-bit unsigned integer. * `tf.uint64`: 64-bit unsigned integer. * `tf.int16`: 16-bit signed integer. * `tf.int32`: 32-bit signed integer. * `tf.int64`: 64-bit signed integer. * `tf.bool`: Boolean. * `tf.string`: String. * `tf.qint8`: Quantized 8-bit signed integer. * `tf.quint8`: Quantized 8-bit unsigned integer. * `tf.qint16`: Quantized 16-bit signed integer. * `tf.quint16`: Quantized 16-bit unsigned integer. * `tf.qint32`: Quantized 32-bit signed integer. * `tf.resource`: Handle to a mutable resource. * `tf.variant`: Values of arbitrary types. The `tf.as_dtype()` function converts numpy types and string type names to a `DType` object. """ __slots__ = () @property def _is_ref_dtype(self): """Returns `True` if this `DType` represents a reference type.""" return self._type_enum > 100 @property def _as_ref(self): """Returns a reference `DType` based on this `DType`.""" if self._is_ref_dtype: return self else: return _INTERN_TABLE[self._type_enum + 100] @property def base_dtype(self): """Returns a non-reference `DType` based on this `DType`.""" if self._is_ref_dtype: return _INTERN_TABLE[self._type_enum - 100] else: return self @property def real_dtype(self): """Returns the dtype correspond to this dtype's real part.""" base = self.base_dtype if base == complex64: return float32 elif base == complex128: return float64 else: return self @property def as_numpy_dtype(self): """Returns a `numpy.dtype` based on this `DType`.""" return _TF_TO_NP[self._type_enum] @property def min(self): """Returns the minimum representable value in this data type. Raises: TypeError: if this is a non-numeric, unordered, or quantized type. """ if (self.is_quantized or self.base_dtype in (bool, string, complex64, complex128)): raise TypeError("Cannot find minimum value of %s." % self) # there is no simple way to get the min value of a dtype, we have to check # float and int types separately try: return np.finfo(self.as_numpy_dtype).min except: # bare except as possible raises by finfo not documented try: return np.iinfo(self.as_numpy_dtype).min except: if self.base_dtype == bfloat16: return _np_bfloat16(float.fromhex("-0x1.FEp127")) raise TypeError("Cannot find minimum value of %s." % self) @property def max(self): """Returns the maximum representable value in this data type. Raises: TypeError: if this is a non-numeric, unordered, or quantized type. """ if (self.is_quantized or self.base_dtype in (bool, string, complex64, complex128)): raise TypeError("Cannot find maximum value of %s." % self) # there is no simple way to get the max value of a dtype, we have to check # float and int types separately try: return np.finfo(self.as_numpy_dtype).max except: # bare except as possible raises by finfo not documented try: return np.iinfo(self.as_numpy_dtype).max except: if self.base_dtype == bfloat16: return _np_bfloat16(float.fromhex("0x1.FEp127")) raise TypeError("Cannot find maximum value of %s." % self) @property def limits(self, clip_negative=True): """Return intensity limits, i.e. (min, max) tuple, of the dtype. Args: clip_negative : bool, optional If True, clip the negative range (i.e. return 0 for min intensity) even if the image dtype allows negative values. Returns min, max : tuple Lower and upper intensity limits. """ min, max = dtype_range[self.as_numpy_dtype] # pylint: disable=redefined-builtin if clip_negative: min = 0 # pylint: disable=redefined-builtin return min, max def is_compatible_with(self, other): """Returns True if the `other` DType will be converted to this DType. The conversion rules are as follows: ```python DType(T) .is_compatible_with(DType(T)) == True ``` Args: other: A `DType` (or object that may be converted to a `DType`). Returns: True if a Tensor of the `other` `DType` will be implicitly converted to this `DType`. """ other = as_dtype(other) return self._type_enum in (other.as_datatype_enum, other.base_dtype.as_datatype_enum) def __eq__(self, other): """Returns True iff this DType refers to the same type as `other`.""" if other is None: return False if type(other) != DType: # pylint: disable=unidiomatic-typecheck try: other = as_dtype(other) except TypeError: return False return self._type_enum == other._type_enum # pylint: disable=protected-access def __ne__(self, other): """Returns True iff self != other.""" return not self.__eq__(other) # "If a class that overrides __eq__() needs to retain the implementation # of __hash__() from a parent class, the interpreter must be told this # explicitly by setting __hash__ = <ParentClass>.__hash__." # TODO(slebedev): Remove once __eq__ and __ne__ are implemented in C++. __hash__ = _dtypes.DType.__hash__ def __reduce__(self): return as_dtype, (self.name,) # pylint: enable=slots-on-old-class # Define data type range of numpy dtype dtype_range = { np.bool_: (False, True), np.bool8: (False, True), np.uint8: (0, 255), np.uint16: (0, 65535), np.int8: (-128, 127), np.int16: (-32768, 32767), np.int64: (-2**63, 2**63 - 1), np.uint64: (0, 2**64 - 1), np.int32: (-2**31, 2**31 - 1), np.uint32: (0, 2**32 - 1), np.float32: (-1, 1), np.float64: (-1, 1) } # Define standard wrappers for the types_pb2.DataType enum. resource = DType(types_pb2.DT_RESOURCE) tf_export("dtypes.resource", "resource").export_constant(__name__, "resource") variant = DType(types_pb2.DT_VARIANT) tf_export("dtypes.variant", "variant").export_constant(__name__, "variant") float16 = DType(types_pb2.DT_HALF) tf_export("dtypes.float16", "float16").export_constant(__name__, "float16") half = float16 tf_export("dtypes.half", "half").export_constant(__name__, "half") float32 = DType(types_pb2.DT_FLOAT) tf_export("dtypes.float32", "float32").export_constant(__name__, "float32") float64 = DType(types_pb2.DT_DOUBLE) tf_export("dtypes.float64", "float64").export_constant(__name__, "float64") double = float64 tf_export("dtypes.double", "double").export_constant(__name__, "double") int32 = DType(types_pb2.DT_INT32) tf_export("dtypes.int32", "int32").export_constant(__name__, "int32") uint8 = DType(types_pb2.DT_UINT8) tf_export("dtypes.uint8", "uint8").export_constant(__name__, "uint8") uint16 = DType(types_pb2.DT_UINT16) tf_export("dtypes.uint16", "uint16").export_constant(__name__, "uint16") uint32 = DType(types_pb2.DT_UINT32) tf_export("dtypes.uint32", "uint32").export_constant(__name__, "uint32") uint64 = DType(types_pb2.DT_UINT64) tf_export("dtypes.uint64", "uint64").export_constant(__name__, "uint64") int16 = DType(types_pb2.DT_INT16) tf_export("dtypes.int16", "int16").export_constant(__name__, "int16") int8 = DType(types_pb2.DT_INT8) tf_export("dtypes.int8", "int8").export_constant(__name__, "int8") string = DType(types_pb2.DT_STRING) tf_export("dtypes.string", "string").export_constant(__name__, "string") complex64 = DType(types_pb2.DT_COMPLEX64) tf_export("dtypes.complex64", "complex64").export_constant(__name__, "complex64") complex128 = DType(types_pb2.DT_COMPLEX128) tf_export("dtypes.complex128", "complex128").export_constant(__name__, "complex128") int64 = DType(types_pb2.DT_INT64) tf_export("dtypes.int64", "int64").export_constant(__name__, "int64") bool = DType(types_pb2.DT_BOOL) # pylint: disable=redefined-builtin tf_export("dtypes.bool", "bool").export_constant(__name__, "bool") qint8 = DType(types_pb2.DT_QINT8) tf_export("dtypes.qint8", "qint8").export_constant(__name__, "qint8") quint8 = DType(types_pb2.DT_QUINT8) tf_export("dtypes.quint8", "quint8").export_constant(__name__, "quint8") qint16 = DType(types_pb2.DT_QINT16) tf_export("dtypes.qint16", "qint16").export_constant(__name__, "qint16") quint16 = DType(types_pb2.DT_QUINT16) tf_export("dtypes.quint16", "quint16").export_constant(__name__, "quint16") qint32 = DType(types_pb2.DT_QINT32) tf_export("dtypes.qint32", "qint32").export_constant(__name__, "qint32") resource_ref = DType(types_pb2.DT_RESOURCE_REF) variant_ref = DType(types_pb2.DT_VARIANT_REF) bfloat16 = DType(types_pb2.DT_BFLOAT16) tf_export("dtypes.bfloat16", "bfloat16").export_constant(__name__, "bfloat16") float16_ref = DType(types_pb2.DT_HALF_REF) half_ref = float16_ref float32_ref = DType(types_pb2.DT_FLOAT_REF) float64_ref = DType(types_pb2.DT_DOUBLE_REF) double_ref = float64_ref int32_ref = DType(types_pb2.DT_INT32_REF) uint32_ref = DType(types_pb2.DT_UINT32_REF) uint8_ref = DType(types_pb2.DT_UINT8_REF) uint16_ref = DType(types_pb2.DT_UINT16_REF) int16_ref = DType(types_pb2.DT_INT16_REF) int8_ref = DType(types_pb2.DT_INT8_REF) string_ref = DType(types_pb2.DT_STRING_REF) complex64_ref = DType(types_pb2.DT_COMPLEX64_REF) complex128_ref = DType(types_pb2.DT_COMPLEX128_REF) int64_ref = DType(types_pb2.DT_INT64_REF) uint64_ref = DType(types_pb2.DT_UINT64_REF) bool_ref = DType(types_pb2.DT_BOOL_REF) qint8_ref = DType(types_pb2.DT_QINT8_REF) quint8_ref = DType(types_pb2.DT_QUINT8_REF) qint16_ref = DType(types_pb2.DT_QINT16_REF) quint16_ref = DType(types_pb2.DT_QUINT16_REF) qint32_ref = DType(types_pb2.DT_QINT32_REF) bfloat16_ref = DType(types_pb2.DT_BFLOAT16_REF) # Maintain an intern table so that we don't have to create a large # number of small objects. _INTERN_TABLE = { types_pb2.DT_HALF: float16, types_pb2.DT_FLOAT: float32, types_pb2.DT_DOUBLE: float64, types_pb2.DT_INT32: int32, types_pb2.DT_UINT8: uint8, types_pb2.DT_UINT16: uint16, types_pb2.DT_UINT32: uint32, types_pb2.DT_UINT64: uint64, types_pb2.DT_INT16: int16, types_pb2.DT_INT8: int8, types_pb2.DT_STRING: string, types_pb2.DT_COMPLEX64: complex64, types_pb2.DT_COMPLEX128: complex128, types_pb2.DT_INT64: int64, types_pb2.DT_BOOL: bool, types_pb2.DT_QINT8: qint8, types_pb2.DT_QUINT8: quint8, types_pb2.DT_QINT16: qint16, types_pb2.DT_QUINT16: quint16, types_pb2.DT_QINT32: qint32, types_pb2.DT_BFLOAT16: bfloat16, types_pb2.DT_RESOURCE: resource, types_pb2.DT_VARIANT: variant, types_pb2.DT_HALF_REF: float16_ref, types_pb2.DT_FLOAT_REF: float32_ref, types_pb2.DT_DOUBLE_REF: float64_ref, types_pb2.DT_INT32_REF: int32_ref, types_pb2.DT_UINT32_REF: uint32_ref, types_pb2.DT_UINT8_REF: uint8_ref, types_pb2.DT_UINT16_REF: uint16_ref, types_pb2.DT_INT16_REF: int16_ref, types_pb2.DT_INT8_REF: int8_ref, types_pb2.DT_STRING_REF: string_ref, types_pb2.DT_COMPLEX64_REF: complex64_ref, types_pb2.DT_COMPLEX128_REF: complex128_ref, types_pb2.DT_INT64_REF: int64_ref, types_pb2.DT_UINT64_REF: uint64_ref, types_pb2.DT_BOOL_REF: bool_ref, types_pb2.DT_QINT8_REF: qint8_ref, types_pb2.DT_QUINT8_REF: quint8_ref, types_pb2.DT_QINT16_REF: qint16_ref, types_pb2.DT_QUINT16_REF: quint16_ref, types_pb2.DT_QINT32_REF: qint32_ref, types_pb2.DT_BFLOAT16_REF: bfloat16_ref, types_pb2.DT_RESOURCE_REF: resource_ref, types_pb2.DT_VARIANT_REF: variant_ref, } # Standard mappings between types_pb2.DataType values and string names. _TYPE_TO_STRING = { types_pb2.DT_HALF: "float16", types_pb2.DT_FLOAT: "float32", types_pb2.DT_DOUBLE: "float64", types_pb2.DT_INT32: "int32", types_pb2.DT_UINT8: "uint8", types_pb2.DT_UINT16: "uint16", types_pb2.DT_UINT32: "uint32", types_pb2.DT_UINT64: "uint64", types_pb2.DT_INT16: "int16", types_pb2.DT_INT8: "int8", types_pb2.DT_STRING: "string", types_pb2.DT_COMPLEX64: "complex64", types_pb2.DT_COMPLEX128: "complex128", types_pb2.DT_INT64: "int64", types_pb2.DT_BOOL: "bool", types_pb2.DT_QINT8: "qint8", types_pb2.DT_QUINT8: "quint8", types_pb2.DT_QINT16: "qint16", types_pb2.DT_QUINT16: "quint16", types_pb2.DT_QINT32: "qint32", types_pb2.DT_BFLOAT16: "bfloat16", types_pb2.DT_RESOURCE: "resource", types_pb2.DT_VARIANT: "variant", types_pb2.DT_HALF_REF: "float16_ref", types_pb2.DT_FLOAT_REF: "float32_ref", types_pb2.DT_DOUBLE_REF: "float64_ref", types_pb2.DT_INT32_REF: "int32_ref", types_pb2.DT_UINT32_REF: "uint32_ref", types_pb2.DT_UINT8_REF: "uint8_ref", types_pb2.DT_UINT16_REF: "uint16_ref", types_pb2.DT_INT16_REF: "int16_ref", types_pb2.DT_INT8_REF: "int8_ref", types_pb2.DT_STRING_REF: "string_ref", types_pb2.DT_COMPLEX64_REF: "complex64_ref", types_pb2.DT_COMPLEX128_REF: "complex128_ref", types_pb2.DT_INT64_REF: "int64_ref", types_pb2.DT_UINT64_REF: "uint64_ref", types_pb2.DT_BOOL_REF: "bool_ref", types_pb2.DT_QINT8_REF: "qint8_ref", types_pb2.DT_QUINT8_REF: "quint8_ref", types_pb2.DT_QINT16_REF: "qint16_ref", types_pb2.DT_QUINT16_REF: "quint16_ref", types_pb2.DT_QINT32_REF: "qint32_ref", types_pb2.DT_BFLOAT16_REF: "bfloat16_ref", types_pb2.DT_RESOURCE_REF: "resource_ref", types_pb2.DT_VARIANT_REF: "variant_ref", } _STRING_TO_TF = { value: _INTERN_TABLE[key] for key, value in _TYPE_TO_STRING.items() } # Add non-canonical aliases. _STRING_TO_TF["half"] = float16 _STRING_TO_TF["half_ref"] = float16_ref _STRING_TO_TF["float"] = float32 _STRING_TO_TF["float_ref"] = float32_ref _STRING_TO_TF["double"] = float64 _STRING_TO_TF["double_ref"] = float64_ref # Numpy representation for quantized dtypes. # # These are magic strings that are used in the swig wrapper to identify # quantized types. # TODO(mrry,keveman): Investigate Numpy type registration to replace this # hard-coding of names. _np_qint8 = np.dtype([("qint8", np.int8)]) _np_quint8 = np.dtype([("quint8", np.uint8)]) _np_qint16 = np.dtype([("qint16", np.int16)]) _np_quint16 = np.dtype([("quint16", np.uint16)]) _np_qint32 = np.dtype([("qint32", np.int32)]) # _np_bfloat16 is defined by a module import. # Custom struct dtype for directly-fed ResourceHandles of supported type(s). np_resource = np.dtype([("resource", np.ubyte)]) # Standard mappings between types_pb2.DataType values and numpy.dtypes. _NP_TO_TF = { np.float16: float16, np.float32: float32, np.float64: float64, np.int32: int32, np.int64: int64, np.uint8: uint8, np.uint16: uint16, np.uint32: uint32, np.uint64: uint64, np.int16: int16, np.int8: int8, np.complex64: complex64, np.complex128: complex128, np.object_: string, np.string_: string, np.unicode_: string, np.bool_: bool, _np_qint8: qint8, _np_quint8: quint8, _np_qint16: qint16, _np_quint16: quint16, _np_qint32: qint32, _np_bfloat16: bfloat16, } # Map (some) NumPy platform dtypes to TF ones using their fixed-width # synonyms. Note that platform dtypes are not always simples aliases, # i.e. reference equality is not guaranteed. See e.g. numpy/numpy#9799. for pdt in [ np.intc, np.uintc, np.int_, np.uint, np.longlong, np.ulonglong, ]: if pdt not in _NP_TO_TF: _NP_TO_TF[pdt] = next( _NP_TO_TF[dt] for dt in _NP_TO_TF if dt == pdt().dtype) TF_VALUE_DTYPES = set(_NP_TO_TF.values()) _TF_TO_NP = { types_pb2.DT_HALF: np.float16, types_pb2.DT_FLOAT: np.float32, types_pb2.DT_DOUBLE: np.float64, types_pb2.DT_INT32: np.int32, types_pb2.DT_UINT8: np.uint8, types_pb2.DT_UINT16: np.uint16, types_pb2.DT_UINT32: np.uint32, types_pb2.DT_UINT64: np.uint64, types_pb2.DT_INT16: np.int16, types_pb2.DT_INT8: np.int8, # NOTE(touts): For strings we use np.object as it supports variable length # strings. types_pb2.DT_STRING: np.object, types_pb2.DT_COMPLEX64: np.complex64, types_pb2.DT_COMPLEX128: np.complex128, types_pb2.DT_INT64: np.int64, types_pb2.DT_BOOL: np.bool, types_pb2.DT_QINT8: _np_qint8, types_pb2.DT_QUINT8: _np_quint8, types_pb2.DT_QINT16: _np_qint16, types_pb2.DT_QUINT16: _np_quint16, types_pb2.DT_QINT32: _np_qint32, types_pb2.DT_BFLOAT16: _np_bfloat16, # Ref types types_pb2.DT_HALF_REF: np.float16, types_pb2.DT_FLOAT_REF: np.float32, types_pb2.DT_DOUBLE_REF: np.float64, types_pb2.DT_INT32_REF: np.int32, types_pb2.DT_UINT32_REF: np.uint32, types_pb2.DT_UINT8_REF: np.uint8, types_pb2.DT_UINT16_REF: np.uint16, types_pb2.DT_INT16_REF: np.int16, types_pb2.DT_INT8_REF: np.int8, types_pb2.DT_STRING_REF: np.object, types_pb2.DT_COMPLEX64_REF: np.complex64, types_pb2.DT_COMPLEX128_REF: np.complex128, types_pb2.DT_INT64_REF: np.int64, types_pb2.DT_UINT64_REF: np.uint64, types_pb2.DT_BOOL_REF: np.bool, types_pb2.DT_QINT8_REF: _np_qint8, types_pb2.DT_QUINT8_REF: _np_quint8, types_pb2.DT_QINT16_REF: _np_qint16, types_pb2.DT_QUINT16_REF: _np_quint16, types_pb2.DT_QINT32_REF: _np_qint32, types_pb2.DT_BFLOAT16_REF: _np_bfloat16, } _QUANTIZED_DTYPES_NO_REF = frozenset([qint8, quint8, qint16, quint16, qint32]) _QUANTIZED_DTYPES_REF = frozenset( [qint8_ref, quint8_ref, qint16_ref, quint16_ref, qint32_ref]) QUANTIZED_DTYPES = _QUANTIZED_DTYPES_REF.union(_QUANTIZED_DTYPES_NO_REF) tf_export( "dtypes.QUANTIZED_DTYPES", v1=["dtypes.QUANTIZED_DTYPES", "QUANTIZED_DTYPES"]).export_constant(__name__, "QUANTIZED_DTYPES") _PYTHON_TO_TF = { builtins.float: float32, builtins.bool: bool, builtins.object: string } _ANY_TO_TF = {} _ANY_TO_TF.update(_INTERN_TABLE) _ANY_TO_TF.update(_STRING_TO_TF) _ANY_TO_TF.update(_PYTHON_TO_TF) _ANY_TO_TF.update(_NP_TO_TF) # Ensure no collisions. assert len(_ANY_TO_TF) == sum( len(d) for d in [_INTERN_TABLE, _STRING_TO_TF, _PYTHON_TO_TF, _NP_TO_TF]) @tf_export("dtypes.as_dtype", "as_dtype") def as_dtype(type_value): """Converts the given `type_value` to a `DType`. Args: type_value: A value that can be converted to a `tf.DType` object. This may currently be a `tf.DType` object, a [`DataType` enum](https://www.tensorflow.org/code/tensorflow/core/framework/types.proto), a string type name, or a `numpy.dtype`. Returns: A `DType` corresponding to `type_value`. Raises: TypeError: If `type_value` cannot be converted to a `DType`. """ if isinstance(type_value, DType): return type_value if isinstance(type_value, np.dtype): try: return _NP_TO_TF[type_value.type] except KeyError: pass try: return _ANY_TO_TF[type_value] except KeyError: pass raise TypeError("Cannot convert value %r to a TensorFlow DType." % (type_value,))

02db0894b67e36755128d5f976abe8e3e6952841

py

Python

test/optimization/test_vehicle_routing.py

IanJoel/qiskit-aqua

7707172d01f0539358f1ce2406f307e830105303

test/optimization/test_vehicle_routing.py

IanJoel/qiskit-aqua

7707172d01f0539358f1ce2406f307e830105303

test/optimization/test_vehicle_routing.py

IanJoel/qiskit-aqua

7707172d01f0539358f1ce2406f307e830105303

2020-02-13T02:17:58.000Z

2020-08-09T07:56:25.000Z

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """ Test Vehicle Routing """ from test.optimization.common import QiskitOptimizationTestCase import numpy as np from qiskit.quantum_info import Pauli from qiskit.aqua import aqua_globals from qiskit.aqua.algorithms import ExactEigensolver from qiskit.optimization.ising.vehicle_routing import get_operator # To run only this test, issue: # python -m unittest test.test_vrp.TestVehicleRouting class TestVehicleRouting(QiskitOptimizationTestCase): """Tests vehicle routing Ising translator.""" def setUp(self): super().setUp() aqua_globals.random_seed = 100 self.n = 2 self.k = 1 self.instance = np.zeros((self.n, self.n)) self.instance[0, 1] = 0.8 self.instance[1, 0] = 0.8 self.qubit_op = get_operator(self.instance, self.n, self.k) def test_simple1(self): """ simple1 test """ # Compares the output in terms of Paulis. paulis = [(79.6, Pauli(z=[True, False], x=[False, False])), (79.6, Pauli(z=[False, True], x=[False, False])), (160.8, Pauli(z=[False, False], x=[False, False]))] # Could also consider op = Operator(paulis) and then __eq__, but # that would not use assert_approx_equal for pauli_a, pauli_b in zip(self.qubit_op._paulis, paulis): cost_a, binary_a = pauli_a cost_b, binary_b = pauli_b # Note that the construction is a bit iffy, i.e., # can be a small bit off even when the random seed is fixed, # even when the ordering is the same. Obviously, when the # ordering changes, the test will become invalid. np.testing.assert_approx_equal(np.real(cost_a), cost_b, 2) self.assertEqual(binary_a, binary_b) def test_simple2(self): """ simple2 test """ # Solve the problem using the exact eigensolver result = ExactEigensolver(self.qubit_op).run() arr = np.array([0., 0., 0., 1.]) np.testing.assert_array_almost_equal(arr, result['eigvecs'][0], 4)

87fa897d022eea500eacb8bcbc414797ebf935f5

py

Python

cogs/utils/db/__init__.py

iomintz/Chiaki-Nanami

f59dc04e34f320689dc4232ecd1b82ecd73fba04

2018-07-15T21:40:43.000Z

2018-07-15T21:40:43.000Z

cogs/utils/db/__init__.py

bmintz/Chiaki-Nanami

f59dc04e34f320689dc4232ecd1b82ecd73fba04

cogs/utils/db/__init__.py

bmintz/Chiaki-Nanami

f59dc04e34f320689dc4232ecd1b82ecd73fba04

"""Database utilities for Chiaki Despite appearances, while this tries to be an ORM, a fully fledged ORM is not the goal. It's too complex of a project to even bother with one. Queries will still be made using raw SQL. The main purpose is to create a self-documenting table class that can be used as reference and to make creation and migrations much easier. """ from .column import * from .table import * from .misc import * __author__ = 'Ikusaba-san' __license__ = 'MIT'

012773ad6902bcc4fdfff5597383e3483220b498

py

Python

esmvalcore/preprocessor/_derive/rtnt.py

markelg/ESMValCore

b2f7ffc3232f174dd5ebc50ad20b4a02d3517c2c

2019-06-07T07:50:07.000Z

2022-03-22T21:04:01.000Z

esmvalcore/preprocessor/_derive/rtnt.py

markelg/ESMValCore

b2f7ffc3232f174dd5ebc50ad20b4a02d3517c2c

2019-06-06T09:03:07.000Z

2022-03-31T04:37:20.000Z

esmvalcore/preprocessor/_derive/rtnt.py

zklaus/ESMValCore

5656fb8b546eeb4d750a424de7ed56a237edfabb

2019-07-03T13:08:48.000Z

2022-03-02T16:08:47.000Z

"""Derivation of variable `rtnt`.""" from iris import Constraint from ._baseclass import DerivedVariableBase class DerivedVariable(DerivedVariableBase): """Derivation of variable `rtnt`.""" @staticmethod def required(project): """Declare the variables needed for derivation.""" required = [ { 'short_name': 'rsdt' }, { 'short_name': 'rsut' }, { 'short_name': 'rlut' }, ] return required @staticmethod def calculate(cubes): """Compute toa net downward total radiation.""" rsdt_cube = cubes.extract_cube( Constraint(name='toa_incoming_shortwave_flux')) rsut_cube = cubes.extract_cube( Constraint(name='toa_outgoing_shortwave_flux')) rlut_cube = cubes.extract_cube( Constraint(name='toa_outgoing_longwave_flux')) rtnt_cube = rsdt_cube - rsut_cube - rlut_cube return rtnt_cube

08f7f32298a1481af6c836b7af8def45f7956c94

py

Python

dac/gail.py

shaun95/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

2022-03-13T21:48:52.000Z

2022-03-13T21:48:52.000Z

dac/gail.py

shaun95/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

dac/gail.py

shaun95/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

2022-03-30T07:20:29.000Z

2022-03-30T07:20:29.000Z

# coding=utf-8 # Copyright 2022 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """An implementation of GAIL with WGAN discriminator.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import tensorflow.compat.v1 as tf from tensorflow.contrib import summary as contrib_summary from tensorflow.contrib.eager.python import tfe as contrib_eager_python_tfe from tensorflow.contrib.gan.python.losses.python import losses_impl as contrib_gan_python_losses_python_losses_impl class Discriminator(tf.keras.Model): """Implementation of a discriminator network.""" def __init__(self, input_dim): """Initializes a discriminator. Args: input_dim: size of the input space. """ super(Discriminator, self).__init__() kernel_init = tf.keras.initializers.Orthogonal(gain=1.0) self.main = tf.keras.Sequential([ tf.layers.Dense( units=256, input_shape=(input_dim,), activation='tanh', kernel_initializer=kernel_init), tf.layers.Dense( units=256, activation='tanh', kernel_initializer=kernel_init), tf.layers.Dense(units=1, kernel_initializer=kernel_init) ]) def call(self, inputs): """Performs a forward pass given the inputs. Args: inputs: a batch of observations (tfe.Variable). Returns: Values of observations. """ return self.main(inputs) class GAIL(object): """Implementation of GAIL (https://arxiv.org/abs/1606.03476). Instead of the original GAN, it uses WGAN (https://arxiv.org/pdf/1704.00028). """ def __init__(self, input_dim, subsampling_rate, lambd=10.0, gail_loss='airl'): """Initializes actor, critic, target networks and optimizers. Args: input_dim: size of the observation space. subsampling_rate: subsampling rate that was used for expert trajectories. lambd: gradient penalty coefficient for wgan. gail_loss: gail loss to use. """ self.subsampling_rate = subsampling_rate self.lambd = lambd self.gail_loss = gail_loss with tf.variable_scope('discriminator'): self.disc_step = contrib_eager_python_tfe.Variable( 0, dtype=tf.int64, name='step') self.discriminator = Discriminator(input_dim) self.discriminator_optimizer = tf.train.AdamOptimizer() self.discriminator_optimizer._create_slots(self.discriminator.variables) # pylint: disable=protected-access def update(self, batch, expert_batch): """Updates the WGAN potential function or GAN discriminator. Args: batch: A batch from training policy. expert_batch: A batch from the expert. """ obs = contrib_eager_python_tfe.Variable( np.stack(batch.obs).astype('float32')) expert_obs = contrib_eager_python_tfe.Variable( np.stack(expert_batch.obs).astype('float32')) expert_mask = contrib_eager_python_tfe.Variable( np.stack(expert_batch.mask).astype('float32')) # Since expert trajectories were resampled but no absorbing state, # statistics of the states changes, we need to adjust weights accordingly. expert_mask = tf.maximum(0, -expert_mask) expert_weight = expert_mask / self.subsampling_rate + (1 - expert_mask) action = contrib_eager_python_tfe.Variable( np.stack(batch.action).astype('float32')) expert_action = contrib_eager_python_tfe.Variable( np.stack(expert_batch.action).astype('float32')) inputs = tf.concat([obs, action], -1) expert_inputs = tf.concat([expert_obs, expert_action], -1) # Avoid using tensorflow random functions since it's impossible to get # the state of the random number generator used by TensorFlow. alpha = np.random.uniform(size=(inputs.get_shape()[0], 1)) alpha = contrib_eager_python_tfe.Variable(alpha.astype('float32')) inter = alpha * inputs + (1 - alpha) * expert_inputs with tf.GradientTape() as tape: output = self.discriminator(inputs) expert_output = self.discriminator(expert_inputs) with contrib_summary.record_summaries_every_n_global_steps( 100, self.disc_step): gan_loss = contrib_gan_python_losses_python_losses_impl.modified_discriminator_loss( expert_output, output, label_smoothing=0.0, real_weights=expert_weight) contrib_summary.scalar( 'discriminator/expert_output', tf.reduce_mean(expert_output), step=self.disc_step) contrib_summary.scalar( 'discriminator/policy_output', tf.reduce_mean(output), step=self.disc_step) with tf.GradientTape() as tape2: tape2.watch(inter) output = self.discriminator(inter) grad = tape2.gradient(output, [inter])[0] grad_penalty = tf.reduce_mean(tf.pow(tf.norm(grad, axis=-1) - 1, 2)) loss = gan_loss + self.lambd * grad_penalty with contrib_summary.record_summaries_every_n_global_steps( 100, self.disc_step): contrib_summary.scalar( 'discriminator/grad_penalty', grad_penalty, step=self.disc_step) with contrib_summary.record_summaries_every_n_global_steps( 100, self.disc_step): contrib_summary.scalar( 'discriminator/loss', gan_loss, step=self.disc_step) grads = tape.gradient(loss, self.discriminator.variables) self.discriminator_optimizer.apply_gradients( zip(grads, self.discriminator.variables), global_step=self.disc_step) def get_reward(self, obs, action, next_obs): # pylint: disable=unused-argument if self.gail_loss == 'airl': inputs = tf.concat([obs, action], -1) return self.discriminator(inputs) else: inputs = tf.concat([obs, action], -1) return -tf.log(1 - tf.nn.sigmoid(self.discriminator(inputs)) + 1e-8) @property def variables(self): """Returns all variables including optimizer variables. Returns: A dictionary of all variables that are defined in the model. variables. """ disc_vars = ( self.discriminator.variables + self.discriminator_optimizer.variables() + [self.disc_step]) return disc_vars

6c8e41b6d4d1ddef572cbd1a611ea6d7a153ad59

py

Python

h2o-perf/bench/py/h2oPerf/Alerting.py

gigliovale/h2o

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

2015-05-22T02:59:21.000Z

2022-02-17T05:02:48.000Z

h2o-perf/bench/py/h2oPerf/Alerting.py

VonRosenchild/h2o-2

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

2015-01-14T23:54:56.000Z

2015-01-15T20:04:17.000Z

h2o-perf/bench/py/h2oPerf/Alerting.py

VonRosenchild/h2o-2

be350f3f2c2fb6f135cc07c41f83fd0e4f521ac1

2015-05-22T17:04:11.000Z

2022-02-22T09:04:39.000Z

import abc import MySQLdb import requests import os from datetime import datetime, timedelta from LMSAdaptiveFilter import LMSAdaptiveFilter # Global queries used throughout TEST_NAMES_QUERY = \ """ SELECT DISTINCT tr.test_name FROM test_run tr INNER JOIN test_run_phase_result tp USING(test_run_id) WHERE tp.end_epoch_ms >= {} AND tp.phase_name = 'model'; """ MOST_RECENTLY_RUN_TEST_NAME = \ """ SELECT build_version FROM test_run WHERE test_name = '{}' ORDER BY build_version DESC LIMIT 1; """ CONTAMINATED = \ """ SELECT contaminated FROM test_run WHERE test_name = '{}' ORDER BY build_version DESC """ MULTIPLE_IDS = \ """ SELECT tr.test_run_id, COUNT(*) cnt FROM test_run tr INNER JOIN test_run_phase_result tp USING(test_run_id) WHERE tp.phase_name = 'model' AND tr.build_version LIKE '%{}%' AND tr.test_name = '{}' GROUP BY tr.test_run_id HAVING cnt > 1; """ CORRECT = \ """ SELECT correctness_passed FROM test_run WHERE test_name = '{}' ORDER BY build_version DESC; """ TIMING = \ """ SELECT (tp.end_epoch_ms - tp.start_epoch_ms) / 1000 elapsed FROM test_run tr INNER JOIN test_run_phase_result tp USING (test_run_id) WHERE tr.timing_passed = 1 AND tr.test_name = '{}' ORDER BY tr.start_epoch_ms DESC LIMIT {}; """ # A dictionary of the queries appearing above QUERIES = { "test_names": TEST_NAMES_QUERY, "test_build_num": MOST_RECENTLY_RUN_TEST_NAME, "contaminated": CONTAMINATED, "multiple_ids": MULTIPLE_IDS, "correct": CORRECT, "timing": TIMING, } CORRECT_ALERT_HEADER = \ """ Correctness Alerts ------------------ """ TIMING_ALERT_HEADER = \ """ Timing Alerts ------------- """ INFRASTRUCTURE_ALERT_HEADER = \ """ Infrastructure Alerts --------------------- """ class Alert: """ The Alert class. This is an abstract class whose subclasses contain methods and state for sending out email alerts when a performance test fails. There are three flavors of failure for which there is alerting: 1. Speed related. 2. Correctness related. 3. Infrastructure related. The following sets of conditions must be satisfied in order for an alert to be sent out: 1. Speed related: Condition 1: No multiple test IDs for the same run phase and build number (infrastructure problem) Condition 2: Test is not contaminated Condition 3: The run time of the test phase is detected by the LMS adaptive filter. 2. Correctness related: Condition 1: No multiple test IDs for the same run phase and build number (infrastructure problem) Condition 2: Test is not contaminated Condition 3: The correct field for the test_run is FALSE or 0 3. Infrastructure related: Condition 1: Multiple test IDs for the same phase and build number. Condition 2: Test did not run/complete. NB: If the build fails, Jenkins already alerts [email protected] Developer Note: Private methods (those that begin with '_') are to be used for performing queries of the MySQL database PerfDB. """ __metaclass__ = abc.ABCMeta def __init__(self, order): """ Every Alert object will have a list of test names that have runs from the last N days. :param order: The order is the number of days back to look back (this is the `N` above). :return: """ self.order = order # Setup a connection to the db self.host = 'mr-0x1' self.db = MySQLdb.connect(host=self.host, user="spencer", passwd="spencer", db="PerfDB", port=3306) self.cursor = self.db.cursor() # A list of test names from the last `order` days self.test_names = self._get_test_names() # A dictionary of tests to alert on and messages to alert with self.alert_list = {} @abc.abstractmethod def should_alert(self, test_name): """ Retrieve run data from PerfDB for this test_name. If no recent data available, then create and send infrastructure alert. Recent data means: Build number matches current build number from master. """ return def is_recent(self, test_name): cur_bn = Alert._get_build_number('master') test_bn = self._get_test_build_number(test_name) return cur_bn == test_bn def was_contaminated(self, test_name): """ Check the most recent run of this test_name. If not recent, returns "NA". Expect that the InfrastructureAlert object will handle the alerting for inconsistent build numbers. """ if self.is_recent(test_name): return self._check_contaminated(test_name) return False def has_multiple_ids(self, test_name): """ Check if the test_name has multiple IDs. If not recent, returns "NA". """ if self.is_recent(test_name): return self._multiple_ids_helper(test_name) return False def add_to_alert_list(self, test_name, message): self.alert_list[test_name] = message def _multiple_ids_helper(self, test_name): test_build_number = self._get_test_build_number(test_name, True).strip('"') query = QUERIES["multiple_ids"].format(test_build_number, test_name.strip('"')) self.cursor.execute(query) res = self.cursor.fetchall() if len(res) != 0: return True return False def _check_contaminated(self, test_name): query = QUERIES["contaminated"].format(test_name.strip('"')) self.cursor.execute(query) res = self.cursor.fetchone() return res[0] == 0 def _get_test_build_number(self, test_name, full=False): query = QUERIES["test_build_num"].format(test_name.strip('"')) self.cursor.execute(query) bn = self.cursor.fetchone() if full: return bn[0].strip() return bn[0].strip().split('.')[-1] def _get_test_names(self): epoch = datetime.utcfromtimestamp(0) dt = datetime.now() dt2 = dt - timedelta(self.order) reference_time_millis = (dt2 - epoch).total_seconds() * 1000 test_names_query = QUERIES["test_names"].format(reference_time_millis) self.cursor.execute(test_names_query) test_names = self.cursor.fetchall() return [test_names[i][0] for i in range(len(test_names))] @staticmethod def _get_build_number(branch): build_number = requests.get("http://s3.amazonaws.com/h2o-release/h2o/" + branch + "/latest").text return str(build_number.strip()) class CorrectAlert(Alert): """ This class is responsible for sending out alerts when a test fails its correctness criteria. The correctness of each test is stored in the `test_run` table under the column `correctness_passed`, which is a boolean: 0: Incorrect 1: Correct """ def __init__(self, order): super(CorrectAlert, self).__init__(order) def should_alert(self, test_name): if not self.was_contaminated(test_name) \ and not self.has_multiple_ids(test_name) \ and self.is_recent(test_name): return self._is_correct(test_name) return False def _is_correct(self, test_name): query = QUERIES["correct"].format(test_name.strip('"')) self.cursor.execute(query) res = self.cursor.fetchone() return res[0] == 0 # 1: Correct, 0: Incorrect class SpeedAlert(Alert): """ This class is responsible for sending out alerts when a test fails its timing criteria. Unlike correctness alerts based on how long the test took to run are based on an outlier detector. Here we use the LMS adaptive filter ( *which additionally implements the exclusion of outliers**) to detect test run times that are out of the ordinary. This is where the `order`, or in time-series parlance `lag` (or `lag order`) comes in to play. This is just the number of previous data points we want to include in our evaluation of the new data point. If the incoming point is "OK" then nothing happens and it does not update the `timing_passed` field in the `test_run` table. If it is determined to be an outlier, the `timing_passed` field switches from 1 -> 0. All points with a `timing_passed` value of 0 are excluded from future computations (as we do not wish to contaminate the running statistics by including spurious results). """ def __init__(self, order): super(SpeedAlert, self).__init__(order) def should_alert(self, test_name): if not self.was_contaminated(test_name) \ and not self.has_multiple_ids(test_name) \ and self.is_recent(test_name): return self._is_ontime(test_name) return False def _is_ontime(self, test_name): """ The input stream is an incoming stream of elapsed times from the last `order` runs of the given test_name. The input stream is initially sorted by most recent to furthest back in time. Therefore, exclude the first entry, and perform the LMS on the next `order - 1` data points. """ input_stream = self._get_input_stream(test_name) if input_stream == "NA": return False # This condition should never happen if len(input_stream) == 1: return True # Only have a single data point, nothing to compute. query_point = input_stream[0] data_points = input_stream[1:] fil = LMSAdaptiveFilter(len(data_points)) for t in data_points: fil.X.add(t) return fil.is_signal_outlier(query_point) def _get_input_stream(self, test_name): query = QUERIES["timing"].format(test_name.strip('"'), self.order) self.cursor.execute(query) res = self.cursor.fetchall() if len(res) == 0: return "NA" if len(res) == 1: return [int(res[0])] if len(res) > 1: return [int(res[i][0]) for i in range(len(res))] class InfrastructureAlert(Alert): """ This class is responsible for sending out alerts when a test fails for reasons other than speed and correctness. """ def __init__(self, order): super(InfrastructureAlert, self).__init__(order) def should_alert(self, test_name): return not self.is_recent(test_name) class Alerter: """ The Alerter class. This class manages the various types of alerts that may occur. In addition, this class handles the actual alerting by email. """ def __init__(self, order, names): self.correct_alert = CorrectAlert(order) self.speed_alert = SpeedAlert(order) self.infrastructure_alert = InfrastructureAlert(order) self.test_list = names self.test_names = self.correct_alert.test_names # `correct_alert` chosen WLOG def alert(self): self._gather_alerts() self._do_alert() def _gather_alerts(self): for name in self.test_names: if name not in self.test_list: continue if self.correct_alert.should_alert(name): self.correct_alert.add_to_alert_list(name, "Failed correctness.") if self.speed_alert.should_alert(name): self.speed_alert.add_to_alert_list(name, "Failed timing.") if self.infrastructure_alert.should_alert(name): self.infrastructure_alert.add_to_alert_list(name, "Test failed to run.") for name in self.test_list: if name not in self.test_names: if name not in self.infrastructure_alert.alert_list: self.infrastructure_alert.add_to_alert_list(name, "Test failed to run.") def _do_alert(self): this_path = os.path.dirname(os.path.realpath(__file__)) res_path = os.path.join(this_path, '..', "results", "Alerts.txt") with open(res_path, 'w') as f: # Check & Report Correctness Alerts f.write(CORRECT_ALERT_HEADER) f.write('\n') if len(self.correct_alert.alert_list) > 0: for key in self.correct_alert.alert_list: f.write("FAIL " + key + " failed: " + self.correct_alert.alert_list[key]) f.write('\n') else: f.write("All tests were correct.") f.write("\n") # Check & Report Timing Alerts f.write(TIMING_ALERT_HEADER) f.write('\n') if len(self.speed_alert.alert_list) > 0: for key in self.speed_alert.alert_list: f.write("FAIL " + key + " failed: " + self.speed_alert.alert_list[key]) f.write('\n') else: f.write("No tests failed due to untimeliness.") f.write("\n") # Check & Report Infrastructure Alerts f.write(INFRASTRUCTURE_ALERT_HEADER) f.write('\n') if len(self.infrastructure_alert.alert_list) > 0: for key in self.infrastructure_alert.alert_list: f.write("FAIL " + key + " failed: " + self.infrastructure_alert.alert_list[key]) f.write('\n') else: f.write("All tests ran.") f.write("\n")

056fcba404ad61d34f1bfb379d9d3ee82f08017d

py

Python

dyspatch_client/models/template_meta_read.py

getdyspatch/dyspatch-python

23ffb05eff820944acf235fa3b225bf8caec903d

dyspatch_client/models/template_meta_read.py

getdyspatch/dyspatch-python

23ffb05eff820944acf235fa3b225bf8caec903d

dyspatch_client/models/template_meta_read.py

getdyspatch/dyspatch-python

23ffb05eff820944acf235fa3b225bf8caec903d

# coding: utf-8 """ Dyspatch API # Introduction The Dyspatch API is based on the REST paradigm, and features resource based URLs with standard HTTP response codes to indicate errors. We use standard HTTP authentication and request verbs, and all responses are JSON formatted. See our [Implementation Guide](https://docs.dyspatch.io/development/implementing_dyspatch/) for more details on how to implement Dyspatch. ## API Client Libraries Dyspatch provides API Clients for popular languages and web frameworks. - [Java](https://github.com/getdyspatch/dyspatch-java) - [Javascript](https://github.com/getdyspatch/dyspatch-javascript) - [Python](https://github.com/getdyspatch/dyspatch-python) - [C#](https://github.com/getdyspatch/dyspatch-dotnet) - [Go](https://github.com/getdyspatch/dyspatch-golang) - [Ruby](https://github.com/getdyspatch/dyspatch-ruby) # noqa: E501 The version of the OpenAPI document: 2020.11 Contact: [email protected] Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from dyspatch_client.configuration import Configuration class TemplateMetaRead(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'id': 'str', 'name': 'str', 'description': 'str', 'url': 'str', 'localizations': 'list[LocalizationMetaRead]', 'created_at': 'datetime', 'updated_at': 'datetime' } attribute_map = { 'id': 'id', 'name': 'name', 'description': 'description', 'url': 'url', 'localizations': 'localizations', 'created_at': 'createdAt', 'updated_at': 'updatedAt' } def __init__(self, id=None, name=None, description=None, url=None, localizations=None, created_at=None, updated_at=None, local_vars_configuration=None): # noqa: E501 """TemplateMetaRead - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._id = None self._name = None self._description = None self._url = None self._localizations = None self._created_at = None self._updated_at = None self.discriminator = None if id is not None: self.id = id if name is not None: self.name = name if description is not None: self.description = description if url is not None: self.url = url if localizations is not None: self.localizations = localizations if created_at is not None: self.created_at = created_at if updated_at is not None: self.updated_at = updated_at @property def id(self): """Gets the id of this TemplateMetaRead. # noqa: E501 An opaque, unique identifier for a template # noqa: E501 :return: The id of this TemplateMetaRead. # noqa: E501 :rtype: str """ return self._id @id.setter def id(self, id): """Sets the id of this TemplateMetaRead. An opaque, unique identifier for a template # noqa: E501 :param id: The id of this TemplateMetaRead. # noqa: E501 :type: str """ self._id = id @property def name(self): """Gets the name of this TemplateMetaRead. # noqa: E501 The name of a template # noqa: E501 :return: The name of this TemplateMetaRead. # noqa: E501 :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this TemplateMetaRead. The name of a template # noqa: E501 :param name: The name of this TemplateMetaRead. # noqa: E501 :type: str """ self._name = name @property def description(self): """Gets the description of this TemplateMetaRead. # noqa: E501 A description of the template # noqa: E501 :return: The description of this TemplateMetaRead. # noqa: E501 :rtype: str """ return self._description @description.setter def description(self, description): """Sets the description of this TemplateMetaRead. A description of the template # noqa: E501 :param description: The description of this TemplateMetaRead. # noqa: E501 :type: str """ self._description = description @property def url(self): """Gets the url of this TemplateMetaRead. # noqa: E501 The API url for a specific template # noqa: E501 :return: The url of this TemplateMetaRead. # noqa: E501 :rtype: str """ return self._url @url.setter def url(self, url): """Sets the url of this TemplateMetaRead. The API url for a specific template # noqa: E501 :param url: The url of this TemplateMetaRead. # noqa: E501 :type: str """ self._url = url @property def localizations(self): """Gets the localizations of this TemplateMetaRead. # noqa: E501 A list of the template's available localization objects # noqa: E501 :return: The localizations of this TemplateMetaRead. # noqa: E501 :rtype: list[LocalizationMetaRead] """ return self._localizations @localizations.setter def localizations(self, localizations): """Sets the localizations of this TemplateMetaRead. A list of the template's available localization objects # noqa: E501 :param localizations: The localizations of this TemplateMetaRead. # noqa: E501 :type: list[LocalizationMetaRead] """ self._localizations = localizations @property def created_at(self): """Gets the created_at of this TemplateMetaRead. # noqa: E501 The time of initial creation # noqa: E501 :return: The created_at of this TemplateMetaRead. # noqa: E501 :rtype: datetime """ return self._created_at @created_at.setter def created_at(self, created_at): """Sets the created_at of this TemplateMetaRead. The time of initial creation # noqa: E501 :param created_at: The created_at of this TemplateMetaRead. # noqa: E501 :type: datetime """ self._created_at = created_at @property def updated_at(self): """Gets the updated_at of this TemplateMetaRead. # noqa: E501 The time of last update # noqa: E501 :return: The updated_at of this TemplateMetaRead. # noqa: E501 :rtype: datetime """ return self._updated_at @updated_at.setter def updated_at(self, updated_at): """Sets the updated_at of this TemplateMetaRead. The time of last update # noqa: E501 :param updated_at: The updated_at of this TemplateMetaRead. # noqa: E501 :type: datetime """ self._updated_at = updated_at def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, TemplateMetaRead): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, TemplateMetaRead): return True return self.to_dict() != other.to_dict()

86f7c637998505f94e8b4a9deb3603997dfbb456

py

Python

examples/heat_map.py

zkx741481546/keract

6f25711e54f7f8b5387fff8f79ad35a0a1113d33

examples/heat_map.py

zkx741481546/keract

6f25711e54f7f8b5387fff8f79ad35a0a1113d33

examples/heat_map.py

zkx741481546/keract

6f25711e54f7f8b5387fff8f79ad35a0a1113d33

from keras.applications.vgg16 import VGG16 from keras.applications.vgg16 import decode_predictions from keras.applications.vgg16 import preprocess_input from keras.preprocessing.image import img_to_array model = VGG16() from PIL import Image import requests from io import BytesIO import numpy as np url = 'https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Gatto_europeo4.jpg/250px-Gatto_europeo4.jpg' response = requests.get(url) image = Image.open(BytesIO(response.content)) image = image.crop((0, 0, 224, 224)) image = img_to_array(image) arr_image = np.array(image) image = image.reshape((1, image.shape[0], image.shape[1], image.shape[2])) image = preprocess_input(image) yhat = model.predict(image) label = decode_predictions(yhat) label = label[0][0] print('{} ({})'.format(label[1], label[2] * 100)) import keract model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) activations = keract.get_activations(model, image) keract.display_heatmaps(activations, arr_image)

fac603281b95ce1ceb3b5321f97db5f0281ad6c6

py

Python

entsoe/mappings.py

gjertro/entsoe-py

6823dde6ad8ecddaabe67fbaf66e9814dd29d037

2019-02-08T21:26:54.000Z

2019-02-08T21:26:54.000Z

entsoe/mappings.py

gjertro/entsoe-py

6823dde6ad8ecddaabe67fbaf66e9814dd29d037

entsoe/mappings.py

gjertro/entsoe-py

6823dde6ad8ecddaabe67fbaf66e9814dd29d037

DOMAIN_MAPPINGS = { 'AL': '10YAL-KESH-----5', 'AT': '10YAT-APG------L', 'BA': '10YBA-JPCC-----D', 'BE': '10YBE----------2', 'BG': '10YCA-BULGARIA-R', 'BY': '10Y1001A1001A51S', 'CH': '10YCH-SWISSGRIDZ', 'CZ': '10YCZ-CEPS-----N', 'DE': '10Y1001A1001A83F', 'DK': '10Y1001A1001A65H', 'EE': '10Y1001A1001A39I', 'ES': '10YES-REE------0', 'FI': '10YFI-1--------U', 'FR': '10YFR-RTE------C', 'GB': '10YGB----------A', 'GB-NIR': '10Y1001A1001A016', 'GR': '10YGR-HTSO-----Y', 'HR': '10YHR-HEP------M', 'HU': '10YHU-MAVIR----U', 'IE': '10YIE-1001A00010', 'IT': '10YIT-GRTN-----B', 'LT': '10YLT-1001A0008Q', 'LU': '10YLU-CEGEDEL-NQ', 'LV': '10YLV-1001A00074', # 'MD': 'MD', 'ME': '10YCS-CG-TSO---S', 'MK': '10YMK-MEPSO----8', 'MT': '10Y1001A1001A93C', 'NL': '10YNL----------L', 'NO': '10YNO-0--------C', 'PL': '10YPL-AREA-----S', 'PT': '10YPT-REN------W', 'RO': '10YRO-TEL------P', 'RS': '10YCS-SERBIATSOV', 'RU': '10Y1001A1001A49F', 'RU-KGD': '10Y1001A1001A50U', 'SE': '10YSE-1--------K', 'SI': '10YSI-ELES-----O', 'SK': '10YSK-SEPS-----K', 'TR': '10YTR-TEIAS----W', 'UA': '10YUA-WEPS-----0', 'DE-AT-LU': '10Y1001A1001A63L', } BIDDING_ZONES = DOMAIN_MAPPINGS.copy() BIDDING_ZONES.update({ 'DE': '10Y1001A1001A63L', # DE-AT-LU 'LU': '10Y1001A1001A63L', # DE-AT-LU 'IT-NORD': '10Y1001A1001A73I', 'IT-CNOR': '10Y1001A1001A70O', 'IT-CSUD': '10Y1001A1001A71M', 'IT-SUD': '10Y1001A1001A788', 'IT-FOGN': '10Y1001A1001A72K', 'IT-ROSN': '10Y1001A1001A77A', 'IT-BRNN': '10Y1001A1001A699', 'IT-PRGP': '10Y1001A1001A76C', 'IT-SARD': '10Y1001A1001A74G', 'IT-SICI': '10Y1001A1001A75E', 'NO-1': '10YNO-1--------2', 'NO-2': '10YNO-2--------T', 'NO-3': '10YNO-3--------J', 'NO-4': '10YNO-4--------9', 'NO-5': '10Y1001A1001A48H', 'SE-1': '10Y1001A1001A44P', 'SE-2': '10Y1001A1001A45N', 'SE-3': '10Y1001A1001A46L', 'SE-4': '10Y1001A1001A47J', 'DK-1': '10YDK-1--------W', 'DK-2': '10YDK-2--------M' }) TIMEZONE_MAPPINGS = { 'AL': 'Europe/Tirane', 'AT': 'Europe/Vienna', 'BA': 'Europe/Sarajevo', 'BE': 'Europe/Brussels', 'BG': 'Europe/Sofia', 'BY': 'Europe/Minsk', 'CH': 'Europe/Zurich', 'CZ': 'Europe/Prague', 'DE': 'Europe/Berlin', 'DK': 'Europe/Copenhagen', 'EE': 'Europe/Tallinn', 'ES': 'Europe/Madrid', 'FI': 'Europe/Helsinki', 'FR': 'Europe/Paris', 'GB': 'Europe/London', 'GB-NIR': 'Europe/Belfast', 'GR': 'Europe/Athens', 'HR': 'Europe/Zagreb', 'HU': 'Europe/Budapest', 'IE': 'Europe/Dublin', 'IT': 'Europe/Rome', 'LT': 'Europe/Vilnius', 'LU': 'Europe/Luxembourg', 'LV': 'Europe/Riga', # 'MD': 'MD', 'ME': 'Europe/Podgorica', 'MK': 'Europe/Skopje', 'MT': 'Europe/Malta', 'NL': 'Europe/Amsterdam', 'NO': 'Europe/Oslo', 'PL': 'Europe/Warsaw', 'PT': 'Europe/Lisbon', 'RO': 'Europe/Bucharest', 'RS': 'Europe/Belgrade', 'RU': 'Europe/Moscow', 'RU-KGD': 'Europe/Kaliningrad', 'SE': 'Europe/Stockholm', 'SI': 'Europe/Ljubljana', 'SK': 'Europe/Bratislava', 'TR': 'Europe/Istanbul', 'UA': 'Europe/Kiev', 'IT-NORD': 'Europe/Rome', 'IT-CNOR': 'Europe/Rome', 'IT-CSUD': 'Europe/Rome', 'IT-SUD': 'Europe/Rome', 'IT-FOGN': 'Europe/Rome', 'IT-ROSN': 'Europe/Rome', 'IT-BRNN': 'Europe/Rome', 'IT-PRGP': 'Europe/Rome', 'IT-SARD': 'Europe/Rome', 'IT-SICI': 'Europe/Rome', 'DE-AT-LU': 'Europe/Berlin', 'NO-1': 'Europe/Oslo', 'NO-2': 'Europe/Oslo', 'NO-3': 'Europe/Oslo', 'NO-4': 'Europe/Oslo', 'NO-5': 'Europe/Oslo', 'SE-1': 'Europe/Stockholm', 'SE-2': 'Europe/Stockholm', 'SE-3': 'Europe/Stockholm', 'SE-4': 'Europe/Stockholm', 'DK-1': 'Europe/Copenhagen', 'DK-2': 'Europe/Copenhagen' } PSRTYPE_MAPPINGS = { 'A03': 'Mixed', 'A04': 'Generation', 'A05': 'Load', 'B01': 'Biomass', 'B02': 'Fossil Brown coal/Lignite', 'B03': 'Fossil Coal-derived gas', 'B04': 'Fossil Gas', 'B05': 'Fossil Hard coal', 'B06': 'Fossil Oil', 'B07': 'Fossil Oil shale', 'B08': 'Fossil Peat', 'B09': 'Geothermal', 'B10': 'Hydro Pumped Storage', 'B11': 'Hydro Run-of-river and poundage', 'B12': 'Hydro Water Reservoir', 'B13': 'Marine', 'B14': 'Nuclear', 'B15': 'Other renewable', 'B16': 'Solar', 'B17': 'Waste', 'B18': 'Wind Offshore', 'B19': 'Wind Onshore', 'B20': 'Other', 'B21': 'AC Link', 'B22': 'DC Link', 'B23': 'Substation', 'B24': 'Transformer'} DOCSTATUS = {'A05': 'Active', 'A09': 'Cancelled', 'A13': 'Withdrawn'} BSNTYPE = {'A29': 'Already allocated capacity (AAC)', 'A43': 'Requested capacity (without price)', 'A46': 'System Operator redispatching', 'A53': 'Planned maintenance', 'A54': 'Unplanned outage', 'A85': 'Internal redispatch', 'A95': 'Frequency containment reserve', 'A96': 'Automatic frequency restoration reserve', 'A97': 'Manual frequency restoration reserve', 'A98': 'Replacement reserve', 'B01': 'Interconnector network evolution', 'B02': 'Interconnector network dismantling', 'B03': 'Counter trade', 'B04': 'Congestion costs', 'B05': 'Capacity allocated (including price)', 'B07': 'Auction revenue', 'B08': 'Total nominated capacity', 'B09': 'Net position', 'B10': 'Congestion income', 'B11': 'Production unit'} DOCUMENTTYPE = {'A09': 'Finalised schedule', 'A11': 'Aggregated energy data report', 'A25': 'Allocation result document', 'A26': 'Capacity document', 'A31': 'Agreed capacity', 'A44': 'Price Document', 'A61': 'Estimated Net Transfer Capacity', 'A63': 'Redispatch notice', 'A65': 'System total load', 'A68': 'Installed generation per type', 'A69': 'Wind and solar forecast', 'A70': 'Load forecast margin', 'A71': 'Generation forecast', 'A72': 'Reservoir filling information', 'A73': 'Actual generation', 'A74': 'Wind and solar generation', 'A75': 'Actual generation per type', 'A76': 'Load unavailability', 'A77': 'Production unavailability', 'A78': 'Transmission unavailability', 'A79': 'Offshore grid infrastructure unavailability', 'A80': 'Generation unavailability', 'A81': 'Contracted reserves', 'A82': 'Accepted offers', 'A83': 'Activated balancing quantities', 'A84': 'Activated balancing prices', 'A85': 'Imbalance prices', 'A86': 'Imbalance volume', 'A87': 'Financial situation', 'A88': 'Cross border balancing', 'A89': 'Contracted reserve prices', 'A90': 'Interconnection network expansion', 'A91': 'Counter trade notice', 'A92': 'Congestion costs', 'A93': 'DC link capacity', 'A94': 'Non EU allocations', 'A95': 'Configuration document', 'B11': 'Flow-based allocations'}

df8fde63cf99aa8436e8ee76631cc9c7f431e87c

py

Python

pythonProject/MUNDO 3/Desafio 105.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

pythonProject/MUNDO 3/Desafio 105.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

2021-06-25T15:29:11.000Z

2021-06-25T15:29:11.000Z

pythonProject/MUNDO 3/Desafio 105.py

lucasjlgc/Aulas-de-Python-

6aaed1c660487a680e9c449210600ccdfa326612

def notas(*num, sit = False): r = dict() r['Total'] = len(num) r['Maior'] = max(num) r['Menor'] = min(num) r['Média'] = sum(num)/len(num) if sit: if r['Média'] <6: r['Situação'] = 'Ruim' elif r['Média']>6 and r['Média']<9: r['Situação'] = 'Regular' elif['Média'] > 9: r['Situação'] = 'Boa' return r #Programa resp = notas(5.5,2.5,10.5,6.5, sit=True) print(resp)

c9b88cadbe1e2951b98a2cabf6eae1daf8cde68b

py

Python

intersight/models/iam_o_auth_token_all_of.py

sdnit-se/intersight-python

551f7685c0f76bb8af60ec83ffb6f9672d49a4ae

2018-03-29T14:20:35.000Z

2021-10-13T05:11:41.000Z

intersight/models/iam_o_auth_token_all_of.py

sdnit-se/intersight-python

551f7685c0f76bb8af60ec83ffb6f9672d49a4ae

2018-01-30T15:45:46.000Z

2022-02-23T14:23:21.000Z

intersight/models/iam_o_auth_token_all_of.py

sdnit-se/intersight-python

551f7685c0f76bb8af60ec83ffb6f9672d49a4ae

2018-01-03T15:09:56.000Z

2021-07-16T02:21:54.000Z

# coding: utf-8 """ Cisco Intersight Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools. Cisco Intersight provides an integrated and intuitive management experience for resources in the traditional data center as well as at the edge. With flexible deployment options to address complex security needs, getting started with Intersight is quick and easy. Cisco Intersight has deep integration with Cisco UCS and HyperFlex systems allowing for remote deployment, configuration, and ongoing maintenance. The model-based deployment works for a single system in a remote location or hundreds of systems in a data center and enables rapid, standardized configuration and deployment. It also streamlines maintaining those systems whether you are working with small or very large configurations. # noqa: E501 The version of the OpenAPI document: 1.0.9-1295 Contact: [email protected] Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from intersight.configuration import Configuration class IamOAuthTokenAllOf(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'access_expiration_time': 'datetime', 'client_id': 'str', 'client_ip_address': 'str', 'client_name': 'str', 'expiration_time': 'datetime', 'last_login_client': 'str', 'last_login_time': 'datetime', 'token_id': 'str', 'user_meta': 'IamClientMeta', 'app_registration': 'IamAppRegistration', 'permission': 'IamPermission', 'user': 'IamUser' } attribute_map = { 'access_expiration_time': 'AccessExpirationTime', 'client_id': 'ClientId', 'client_ip_address': 'ClientIpAddress', 'client_name': 'ClientName', 'expiration_time': 'ExpirationTime', 'last_login_client': 'LastLoginClient', 'last_login_time': 'LastLoginTime', 'token_id': 'TokenId', 'user_meta': 'UserMeta', 'app_registration': 'AppRegistration', 'permission': 'Permission', 'user': 'User' } def __init__(self, access_expiration_time=None, client_id=None, client_ip_address=None, client_name=None, expiration_time=None, last_login_client=None, last_login_time=None, token_id=None, user_meta=None, app_registration=None, permission=None, user=None, local_vars_configuration=None): # noqa: E501 """IamOAuthTokenAllOf - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._access_expiration_time = None self._client_id = None self._client_ip_address = None self._client_name = None self._expiration_time = None self._last_login_client = None self._last_login_time = None self._token_id = None self._user_meta = None self._app_registration = None self._permission = None self._user = None self.discriminator = None if access_expiration_time is not None: self.access_expiration_time = access_expiration_time if client_id is not None: self.client_id = client_id if client_ip_address is not None: self.client_ip_address = client_ip_address if client_name is not None: self.client_name = client_name if expiration_time is not None: self.expiration_time = expiration_time if last_login_client is not None: self.last_login_client = last_login_client if last_login_time is not None: self.last_login_time = last_login_time if token_id is not None: self.token_id = token_id if user_meta is not None: self.user_meta = user_meta if app_registration is not None: self.app_registration = app_registration if permission is not None: self.permission = permission if user is not None: self.user = user @property def access_expiration_time(self): """Gets the access_expiration_time of this IamOAuthTokenAllOf. # noqa: E501 Expiration time for the JWT token to which it can be used for api calls. # noqa: E501 :return: The access_expiration_time of this IamOAuthTokenAllOf. # noqa: E501 :rtype: datetime """ return self._access_expiration_time @access_expiration_time.setter def access_expiration_time(self, access_expiration_time): """Sets the access_expiration_time of this IamOAuthTokenAllOf. Expiration time for the JWT token to which it can be used for api calls. # noqa: E501 :param access_expiration_time: The access_expiration_time of this IamOAuthTokenAllOf. # noqa: E501 :type: datetime """ self._access_expiration_time = access_expiration_time @property def client_id(self): """Gets the client_id of this IamOAuthTokenAllOf. # noqa: E501 The identifier of the registered application to which the token belongs. # noqa: E501 :return: The client_id of this IamOAuthTokenAllOf. # noqa: E501 :rtype: str """ return self._client_id @client_id.setter def client_id(self, client_id): """Sets the client_id of this IamOAuthTokenAllOf. The identifier of the registered application to which the token belongs. # noqa: E501 :param client_id: The client_id of this IamOAuthTokenAllOf. # noqa: E501 :type: str """ self._client_id = client_id @property def client_ip_address(self): """Gets the client_ip_address of this IamOAuthTokenAllOf. # noqa: E501 The user agent IP address from which the auth token is launched. # noqa: E501 :return: The client_ip_address of this IamOAuthTokenAllOf. # noqa: E501 :rtype: str """ return self._client_ip_address @client_ip_address.setter def client_ip_address(self, client_ip_address): """Sets the client_ip_address of this IamOAuthTokenAllOf. The user agent IP address from which the auth token is launched. # noqa: E501 :param client_ip_address: The client_ip_address of this IamOAuthTokenAllOf. # noqa: E501 :type: str """ self._client_ip_address = client_ip_address @property def client_name(self): """Gets the client_name of this IamOAuthTokenAllOf. # noqa: E501 The name of the registered application to which the token belongs. # noqa: E501 :return: The client_name of this IamOAuthTokenAllOf. # noqa: E501 :rtype: str """ return self._client_name @client_name.setter def client_name(self, client_name): """Sets the client_name of this IamOAuthTokenAllOf. The name of the registered application to which the token belongs. # noqa: E501 :param client_name: The client_name of this IamOAuthTokenAllOf. # noqa: E501 :type: str """ self._client_name = client_name @property def expiration_time(self): """Gets the expiration_time of this IamOAuthTokenAllOf. # noqa: E501 Expiration time for the JWT token to which it can be refreshed. # noqa: E501 :return: The expiration_time of this IamOAuthTokenAllOf. # noqa: E501 :rtype: datetime """ return self._expiration_time @expiration_time.setter def expiration_time(self, expiration_time): """Sets the expiration_time of this IamOAuthTokenAllOf. Expiration time for the JWT token to which it can be refreshed. # noqa: E501 :param expiration_time: The expiration_time of this IamOAuthTokenAllOf. # noqa: E501 :type: datetime """ self._expiration_time = expiration_time @property def last_login_client(self): """Gets the last_login_client of this IamOAuthTokenAllOf. # noqa: E501 The client address from which last login is initiated. # noqa: E501 :return: The last_login_client of this IamOAuthTokenAllOf. # noqa: E501 :rtype: str """ return self._last_login_client @last_login_client.setter def last_login_client(self, last_login_client): """Sets the last_login_client of this IamOAuthTokenAllOf. The client address from which last login is initiated. # noqa: E501 :param last_login_client: The last_login_client of this IamOAuthTokenAllOf. # noqa: E501 :type: str """ self._last_login_client = last_login_client @property def last_login_time(self): """Gets the last_login_time of this IamOAuthTokenAllOf. # noqa: E501 The last login time for user. # noqa: E501 :return: The last_login_time of this IamOAuthTokenAllOf. # noqa: E501 :rtype: datetime """ return self._last_login_time @last_login_time.setter def last_login_time(self, last_login_time): """Sets the last_login_time of this IamOAuthTokenAllOf. The last login time for user. # noqa: E501 :param last_login_time: The last_login_time of this IamOAuthTokenAllOf. # noqa: E501 :type: datetime """ self._last_login_time = last_login_time @property def token_id(self): """Gets the token_id of this IamOAuthTokenAllOf. # noqa: E501 Token identifier. Not the Access Token itself. # noqa: E501 :return: The token_id of this IamOAuthTokenAllOf. # noqa: E501 :rtype: str """ return self._token_id @token_id.setter def token_id(self, token_id): """Sets the token_id of this IamOAuthTokenAllOf. Token identifier. Not the Access Token itself. # noqa: E501 :param token_id: The token_id of this IamOAuthTokenAllOf. # noqa: E501 :type: str """ self._token_id = token_id @property def user_meta(self): """Gets the user_meta of this IamOAuthTokenAllOf. # noqa: E501 :return: The user_meta of this IamOAuthTokenAllOf. # noqa: E501 :rtype: IamClientMeta """ return self._user_meta @user_meta.setter def user_meta(self, user_meta): """Sets the user_meta of this IamOAuthTokenAllOf. :param user_meta: The user_meta of this IamOAuthTokenAllOf. # noqa: E501 :type: IamClientMeta """ self._user_meta = user_meta @property def app_registration(self): """Gets the app_registration of this IamOAuthTokenAllOf. # noqa: E501 :return: The app_registration of this IamOAuthTokenAllOf. # noqa: E501 :rtype: IamAppRegistration """ return self._app_registration @app_registration.setter def app_registration(self, app_registration): """Sets the app_registration of this IamOAuthTokenAllOf. :param app_registration: The app_registration of this IamOAuthTokenAllOf. # noqa: E501 :type: IamAppRegistration """ self._app_registration = app_registration @property def permission(self): """Gets the permission of this IamOAuthTokenAllOf. # noqa: E501 :return: The permission of this IamOAuthTokenAllOf. # noqa: E501 :rtype: IamPermission """ return self._permission @permission.setter def permission(self, permission): """Sets the permission of this IamOAuthTokenAllOf. :param permission: The permission of this IamOAuthTokenAllOf. # noqa: E501 :type: IamPermission """ self._permission = permission @property def user(self): """Gets the user of this IamOAuthTokenAllOf. # noqa: E501 :return: The user of this IamOAuthTokenAllOf. # noqa: E501 :rtype: IamUser """ return self._user @user.setter def user(self, user): """Sets the user of this IamOAuthTokenAllOf. :param user: The user of this IamOAuthTokenAllOf. # noqa: E501 :type: IamUser """ self._user = user def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list( map(lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value)) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict( map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items())) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, IamOAuthTokenAllOf): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, IamOAuthTokenAllOf): return True return self.to_dict() != other.to_dict()

583ef94c3b81d62adb8e663e24a57161f2cfd968

py

Python

back/user/views.py

yeezy-na-izi/.shSkill

54608cd89ddc90377d190104115debc702d9aa1b

back/user/views.py

yeezy-na-izi/.shSkill

54608cd89ddc90377d190104115debc702d9aa1b

back/user/views.py

yeezy-na-izi/.shSkill

54608cd89ddc90377d190104115debc702d9aa1b

from django.shortcuts import render, redirect from django.contrib.auth import logout from django.contrib import messages from django.contrib.auth import login from django.contrib.sites.shortcuts import get_current_site from django.urls import reverse from django.utils.encoding import force_bytes, force_text from django.utils.http import urlsafe_base64_encode, urlsafe_base64_decode from django.core.mail import EmailMessage from django.db.models import Q from user.forms import LoginUserForm, CreateUserForm from user.utils import token_generator from user.models import Account, Student from education.models import Group from user.models import Account from user.utils import return_correct_phone def login_and_register(request): if 'login' in request.POST: form = LoginUserForm(data=request.POST) if form.is_valid(): user = form.get_user() login(request, user) messages.success(request, 'Вы успешно вошли') else: messages.error(request, 'Неверные данные!') return redirect(request.path) elif 'register' in request.POST: form = CreateUserForm(data=request.POST) if form.is_valid(): user = form.save() student = Student.objects.create(balance=0) user.student = student user.is_active = False user_id = urlsafe_base64_encode(force_bytes(user.username)) domain = get_current_site(request).domain relative = reverse('activate', kwargs={'user_id': user_id, 'token': token_generator.make_token(user)}) activate_url = f'http://{domain}{relative}' email_subject = 'Подтверждение почты' email_body = f'Привет, {user.username}, это активация аккаунта, перейди по ссылке чтобы ' \ f'верифицировать свой аккаунт\n{activate_url}' email = EmailMessage(email_subject, email_body, '[email protected]', [user.email], ) try: email.send(fail_silently=False) messages.success(request, 'На почту пришло письмо, перейдите по ссылке и активируйте аккаунт') except: messages.error(request, 'Что-то пошло не так') user.save() return redirect(request.path) def verification_email(request, user_id, token): if request.user.is_authenticated: messages.success(request, 'Вы уже авторизованны') return redirect(f'/profile/{request.user.username}') try: username = force_text(urlsafe_base64_decode(user_id)) user = Account.objects.get(username=username) if token_generator.check_token(user, token) and not user.is_active: user.is_active = True user.save() messages.success(request, 'Аккаунт успешно активирован') return redirect('/') messages.error(request, 'Аккаунт по каким-то причинам не был активирован') return redirect('/') except: messages.error(request, 'Что-то пошло не так') return redirect('/') def profile(request, username): user = Account.objects.get(username=username) ended_courses = [] in_progress_courses = [] if request.method == 'POST': login_and_register(request) if 'settings' in request.POST: user.first_name = request.POST['first_name'] user.last_name = request.POST['last_name'] user.phone = request.POST['phone'] user.about_me = request.POST['about_me'] user.save() return redirect(request.path) if request.user == user: try: student = user.student ended_courses = Group.objects.filter(users=student, ended=True) in_progress_courses = Group.objects.filter(users=student, ended=False) except Exception: pass user.phone = return_correct_phone(user.phone) context = { 'user': user, 'ended': ended_courses, 'not_ended': in_progress_courses } return render(request, 'user/profile/index.html', context) def logout_page(request): messages.info(request, f'Вы вышли из аккаунта {request.user}') logout(request) return redirect('/') def teachers(request): _teachers = Account.objects.filter(~Q(teacher=None)) if request.method == 'POST': login_and_register(request) context = {'teachers': _teachers} return render(request, 'user/teachers.html', context)

1294fc4a37230780e6b6240cac9bf9e3c745eb88

py

Python

src/jobs/json_renderer.py

ZendriXXX/predict-python

fe0360b4888980421f8f91f158d6523729bfc5f7

src/jobs/json_renderer.py

ZendriXXX/predict-python

fe0360b4888980421f8f91f158d6523729bfc5f7

src/jobs/json_renderer.py

ZendriXXX/predict-python

fe0360b4888980421f8f91f158d6523729bfc5f7

from json.encoder import encode_basestring_ascii, encode_basestring, INFINITY, _make_iterencode from rest_framework.renderers import JSONRenderer from rest_framework.utils.encoders import JSONEncoder # default renderer cannot handle JSON inf values # https://stackoverflow.com/questions/35939464/django-rest-framework-json-data-monkey-patching class CustomJSONEncoder(JSONEncoder): def iterencode(self, o, _one_shot=False): """Encode the given object and yield each string representation as available. :param o: :param _one_shot: :return: For example:: for chunk in JSONEncoder().iterencode(bigobject): mysocket.write(chunk) """ # Hack to enforce c_make_encoder = None if self.check_circular: markers = {} else: markers = None if self.ensure_ascii: _encoder = encode_basestring_ascii else: _encoder = encode_basestring def floatstr(o, allow_nan=True, _repr=lambda o: format(o, '.4f'), _inf=INFINITY, _neginf=-INFINITY): """Convert float number into a string :param o: :param allow_nan: :param _repr: :param _inf: :param _neginf: :return: """ # Check for specials. Note that this type of test is processor # and/or platform-specific, so do tests which don't depend on the # internals. if o != o: text = '0' elif o == _inf: text = '1000000' # infinity is 1000000 elif o == _neginf: text = '-1000000' else: return _repr(o) if not allow_nan: raise ValueError( "Out of range float values are not JSON compliant: " + repr(o)) return text if _one_shot and c_make_encoder is not None and self.indent is None: _iterencode = c_make_encoder( markers, self.default, _encoder, self.indent, self.key_separator, self.item_separator, self.sort_keys, self.skipkeys, self.allow_nan) # TODO: fix call to non-callable object else: _iterencode = _make_iterencode( markers, self.default, _encoder, self.indent, floatstr, self.key_separator, self.item_separator, self.sort_keys, self.skipkeys, _one_shot) return _iterencode(o, 0) class PalJSONRenderer(JSONRenderer): encoder_class = CustomJSONEncoder

8e7116101dce308dd76d59661c118414af61108b

py

Python

foxylib/singleton/slack/foxylib_slack.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

foxylib/singleton/slack/foxylib_slack.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

2019-12-12T05:17:44.000Z

2022-03-11T23:40:50.000Z

foxylib/singleton/slack/foxylib_slack.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

2019-10-16T17:39:34.000Z

2020-02-10T06:32:08.000Z

# https://pypi.org/project/slackclient/ import logging import os from functools import lru_cache, partial from slack import RTMClient, WebClient from foxylib.singleton.env.foxylib_env import FoxylibEnv from foxylib.tools.log.foxylib_logger import FoxylibLogger from foxylib.tools.messenger.slack.slack_tool import SlackTool from foxylib.tools.env.env_tool import EnvTool from foxylib.tools.function.function_tool import FunctionTool class FoxylibSlack: @classmethod def xoxb_token(cls): logger = FoxylibLogger.func_level2logger(cls.xoxb_token, logging.DEBUG) token = FoxylibEnv.key2value("SLACK_BOT_USER_OAUTH_ACCESS_TOKEN") # logger.debug({"token": token}) return token @classmethod def xoxp_token(cls): logger = FoxylibLogger.func_level2logger(cls.xoxp_token, logging.DEBUG) token = FoxylibEnv.key2value("SLACK_OAUTH_ACCESS_TOKEN") # logger.debug({"token": token}) return token @classmethod @FunctionTool.wrapper2wraps_applied(lru_cache(maxsize=1)) def rtm_client(cls): return SlackTool.token2rtm_client(cls.xoxb_token()) @classmethod @FunctionTool.wrapper2wraps_applied(lru_cache(maxsize=1)) def web_client(cls): return SlackTool.token2web_client(cls.xoxb_token()) class FoxylibChannel: class Value: FOXYLIB = "foxylib" V = Value

cece8f79bbd811bba80aee5ab890ff3eb844d726

py

Python

setup.py

dschien/pint-pandas

5c8499133f87afe718681df7b48f0870708078be

setup.py

dschien/pint-pandas

5c8499133f87afe718681df7b48f0870708078be

setup.py

dschien/pint-pandas

5c8499133f87afe718681df7b48f0870708078be

import sys try: reload(sys).setdefaultencoding("UTF-8") except: pass try: from setuptools import setup, find_packages except ImportError: print('Please install or upgrade setuptools or pip to continue') sys.exit(1) import codecs def read(filename): return codecs.open(filename, encoding='utf-8').read() long_description = '\n\n'.join([read('README.md'), # read('AUTHORS'), # read('CHANGES') ]) __doc__ = long_description install_requirements = [ "pint>=0.10.1", "pandas>=0.24.0", ] extra_requirements = { "test": ["pytest", "pytest-cov", "codecov", "coveralls", "nbval"] } setup( name='Pint-Pandas', version='0.1.dev0', # should move to using versioneer for this description='Pandas interface for Pint', long_description=long_description, keywords='physical quantities unit conversion science', author='Hernan E. Grecco', author_email='[email protected]', url='https://github.com/hgrecco/pint-pandas', test_suite='pintpandas.testsuite', packages=find_packages(), license='BSD', classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'Intended Audience :: Science/Research', 'License :: OSI Approved :: BSD License', 'Operating System :: MacOS :: MacOS X', 'Operating System :: Microsoft :: Windows', 'Operating System :: POSIX', 'Programming Language :: Python', 'Topic :: Scientific/Engineering', 'Topic :: Software Development :: Libraries', 'Programming Language :: Python :: 3.6', ], install_requires=install_requirements, extras_require=extra_requirements, )

fd573c3a05a02f71f3924bfcdb7e2bd02f3c2fb1

py

Python

layint_scan_api/models/package_search_result.py

LayeredInsight/layint_scan_api_python

bc258b2af5d2211b986e32fedea95fcfc7de80ff

2018-03-26T23:55:00.000Z

2018-03-26T23:55:00.000Z

layint_scan_api/models/package_search_result.py

LayeredInsight/layint_scan_api_python

bc258b2af5d2211b986e32fedea95fcfc7de80ff

layint_scan_api/models/package_search_result.py

LayeredInsight/layint_scan_api_python

bc258b2af5d2211b986e32fedea95fcfc7de80ff

2020-11-04T02:56:33.000Z

2020-11-05T08:12:01.000Z

# coding: utf-8 """ Layered Insight Scan Layered Insight Scan performs static vulnerability analysis, license and package compliance. You can find out more about Scan at http://layeredinsight.com. OpenAPI spec version: 0.9.4 Contact: [email protected] Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class PackageSearchResult(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'package_version': 'PackageVersion', 'images': 'list[ImageRef]' } attribute_map = { 'package_version': 'PackageVersion', 'images': 'Images' } def __init__(self, package_version=None, images=None): """ PackageSearchResult - a model defined in Swagger """ self._package_version = None self._images = None if package_version is not None: self.package_version = package_version if images is not None: self.images = images @property def package_version(self): """ Gets the package_version of this PackageSearchResult. :return: The package_version of this PackageSearchResult. :rtype: PackageVersion """ return self._package_version @package_version.setter def package_version(self, package_version): """ Sets the package_version of this PackageSearchResult. :param package_version: The package_version of this PackageSearchResult. :type: PackageVersion """ self._package_version = package_version @property def images(self): """ Gets the images of this PackageSearchResult. :return: The images of this PackageSearchResult. :rtype: list[ImageRef] """ return self._images @images.setter def images(self, images): """ Sets the images of this PackageSearchResult. :param images: The images of this PackageSearchResult. :type: list[ImageRef] """ self._images = images def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, PackageSearchResult): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

caa5faabd040cc4fa59ecdfc876c8a7032b53bee

py

Python

m3u8-cmdline/m3u8.py

Abeous/streaming

5d34eba2f27af4d25395200038b240ec1f4ea3e5

m3u8-cmdline/m3u8.py

Abeous/streaming

5d34eba2f27af4d25395200038b240ec1f4ea3e5

m3u8-cmdline/m3u8.py

Abeous/streaming

5d34eba2f27af4d25395200038b240ec1f4ea3e5

import subprocess import os import platform import json import argparse class config_info: def __init__(self, system): self.directory = os.path.join(os.path.expanduser('~'), '.config','hls-restreamer') self.os = system self.path = self.directory + '/config.json' config = config_info(platform.system()) def Initialize(args): data = {"streamkey":"", "ffmpeg":"ffmpeg -loglevel warning -reconnect 1 -reconnect_at_eof 1 -reconnect_delay_max 10 -i {0} -codec:a aac -c:v copy -f flv rtmp://ingest.angelthump.com:1935/live/{1}"} if not os.path.isdir(config.directory): try: os.makedirs(config.directory) except Exception as e: raise e if not os.path.isfile(config.path): try: with open(config.path, 'w') as config_file: json.dump(data, config_file) except Exception as e: raise e def readConfig(args): if args.streamkey is None: with open(config.path, 'r') as config_file: config_JSON_data = json.load(config_file) if (config_JSON_data['streamkey'] == '' or config_JSON_data['streamkey'] != str): print('Stream key not found, please use --streamkey flag with your angelthump streamkey to continue') exit() else: return config_JSON_data['streamkey'], config_JSON_data['ffmpeg'] elif args.streamkey is not None: with open(config.path, 'r+') as config_file: config_JSON_data = json.load(config_file) config_JSON_data['streamkey'] = args.streamkey #sets position to beginning of file then removing all after it config_file.seek(0) config_file.truncate() json.dump(config_JSON_data, config_file) return args.streamkey, config_JSON_data['ffmpeg'] def main(data, args): streamkey = data[0] cmd = data[1].format(args.streamlink, streamkey).split(' ') try: process = subprocess.Popen(cmd).wait() except KeyboardInterrupt: print('Manual break by user') process.kill() exit() if __name__ == "__main__": parser = argparse.ArgumentParser(description='A tutorial of argparse!') parser.add_argument("-sk", "--streamkey", help="Sets config's streamkey. If not called ffmpeg will use config file's streamkey.", type=str) parser.add_argument("streamlink") args = parser.parse_args() Initialize(args) main(readConfig(args), args)

af9607f6dc6d5832a92f523c324954277f407309

py

Python

demo.py

namelessjon/mitemp

bd6ffed5bfd9a3a52dd8a4b96e896fa79b5c5f10

demo.py

namelessjon/mitemp

bd6ffed5bfd9a3a52dd8a4b96e896fa79b5c5f10

demo.py

namelessjon/mitemp

bd6ffed5bfd9a3a52dd8a4b96e896fa79b5c5f10

#!/usr/bin/env python3 """Demo file showing how to use the mitemp library.""" import argparse import re import logging import sys from btlewrap import available_backends, BluepyBackend, GatttoolBackend, PygattBackend from mitemp_bt.mitemp_bt_poller import MiTempBtPoller, \ MI_TEMPERATURE, MI_HUMIDITY, MI_BATTERY def valid_mitemp_mac(mac, pat=re.compile(r"4C:65:A8:[0-9A-F]{2}:[0-9A-F]{2}:[0-9A-F]{2}")): """Check for valid mac adresses.""" if not pat.match(mac.upper()): raise argparse.ArgumentTypeError('The MAC address "{}" seems to be in the wrong format'.format(mac)) return mac def poll(args): """Poll data from the sensor.""" backend = _get_backend(args) poller = MiTempBtPoller(args.mac, backend) print("Getting data from Mi Temperature and Humidity Sensor") print("FW: {}".format(poller.firmware_version())) print("Name: {}".format(poller.name())) print("Battery: {}".format(poller.parameter_value(MI_BATTERY))) print("Temperature: {}".format(poller.parameter_value(MI_TEMPERATURE))) print("Humidity: {}".format(poller.parameter_value(MI_HUMIDITY))) # def scan(args): # """Scan for sensors.""" # backend = _get_backend(args) # print('Scanning for 10 seconds...') # devices = mitemp_scanner.scan(backend, 10) # devices = [] # print('Found {} devices:'.format(len(devices))) # for device in devices: # print(' {}'.format(device)) def _get_backend(args): """Extract the backend class from the command line arguments.""" if args.backend == 'gatttool': backend = GatttoolBackend elif args.backend == 'bluepy': backend = BluepyBackend elif args.backend == 'pygatt': backend = PygattBackend else: raise Exception('unknown backend: {}'.format(args.backend)) return backend def list_backends(_): """List all available backends.""" backends = [b.__name__ for b in available_backends()] print('\n'.join(backends)) def main(): """Main function. Mostly parsing the command line arguments. """ parser = argparse.ArgumentParser() parser.add_argument('--backend', choices=['gatttool', 'bluepy', 'pygatt'], default='gatttool') parser.add_argument('-v', '--verbose', action='store_const', const=True) subparsers = parser.add_subparsers(help='sub-command help', ) parser_poll = subparsers.add_parser('poll', help='poll data from a sensor') parser_poll.add_argument('mac', type=valid_mitemp_mac) parser_poll.set_defaults(func=poll) # parser_scan = subparsers.add_parser('scan', help='scan for devices') # parser_scan.set_defaults(func=scan) parser_scan = subparsers.add_parser('backends', help='list the available backends') parser_scan.set_defaults(func=list_backends) args = parser.parse_args() if args.verbose: logging.basicConfig(level=logging.DEBUG) if not hasattr(args, "func"): parser.print_help() sys.exit(0) args.func(args) if __name__ == '__main__': main()

2a78ad851be6e6d0ba2a5b198392c65f9017acb9

py

Python

tests/collections/asr/numba/rnnt_loss/utils/test_reduce.py

vadam5/NeMo

3c5db09539293c3c19a6bb7437011f91261119af

2021-04-13T20:34:16.000Z

2021-04-13T20:34:16.000Z

tests/collections/asr/numba/rnnt_loss/utils/test_reduce.py

vadam5/NeMo

3c5db09539293c3c19a6bb7437011f91261119af

tests/collections/asr/numba/rnnt_loss/utils/test_reduce.py

vadam5/NeMo

3c5db09539293c3c19a6bb7437011f91261119af

# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import numpy as np import pytest from numba import cuda from nemo.collections.asr.parts.numba import __NUMBA_MINIMUM_VERSION__, numba_utils from nemo.collections.asr.parts.numba.rnnt_loss.utils.cuda_utils import reduce class TestRNNTCUDAReductions: @pytest.mark.skipif(not cuda.is_available(), reason="CUDA Reductions can only be run when CUDA is available") @pytest.mark.unit def test_reduce_max(self): numba_utils.skip_numba_cuda_test_if_unsupported(__NUMBA_MINIMUM_VERSION__) random = np.random.RandomState(0) original_shape = [1, 5, 4, 3] x = random.randn(*original_shape).reshape([-1]) dx = random.randn(*x.shape) stream = cuda.stream() x_c = cuda.to_device(x, stream=stream) dx_c = cuda.to_device(dx, stream=stream) # call kernel cols = np.prod(original_shape[:3]) reduce.reduce_max(x_c, dx_c, rows=original_shape[-1], cols=cols, minus=False, stream=stream) # sync kernel stream.synchronize() dx_result = dx_c.copy_to_host(stream=stream) del x_c, dx_c # collect results in first [B * T * U] values; for all V assert np.abs(dx_result[cols:] - dx[cols:]).sum() <= 1e-7 # make sure dx_result updates the [B * T * U] values assert np.abs(dx_result[:cols] - dx[:cols]).sum() > 0 @pytest.mark.skipif(not cuda.is_available(), reason="CUDA Reductions can only be run when CUDA is available") @pytest.mark.unit def test_reduce_exp(self): numba_utils.skip_numba_cuda_test_if_unsupported(__NUMBA_MINIMUM_VERSION__) random = np.random.RandomState(0) original_shape = [1, 5, 4, 2] x = random.randn(*original_shape).reshape([-1]) dx = np.zeros_like(x) stream = cuda.stream() x_c = cuda.to_device(x, stream=stream) dx_c = cuda.to_device(dx, stream=stream) # call kernel cols = np.prod(original_shape[:3]) reduce.reduce_exp(x_c, dx_c, rows=original_shape[-1], cols=cols, minus=False, stream=stream) # sync kernel stream.synchronize() dx_result = dx_c.copy_to_host(stream=stream) del x_c, dx_c # collect results in first [B * T * U] values; for all V assert (dx_result[cols:] - dx[cols:]).sum() <= 1e-7 # make sure dx_result updates the [B * T * U] values assert np.abs(dx_result[:cols] - dx[:cols]).sum() > 0 if __name__ == '__main__': pytest.main([__file__])

54a5fbc89ea01241390d2432962fec5e6639b33f

py

Python

domains/fetch/problems/training/problem1011_CR.py

patras91/rae_release

0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30

2021-09-28T12:56:56.000Z

2021-09-28T12:56:56.000Z

domains/fetch/problems/training/problem1011_CR.py

patras91/rae_release

0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30

domains/fetch/problems/training/problem1011_CR.py

patras91/rae_release

0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30

2022-03-31T16:30:39.000Z

2022-03-31T16:30:39.000Z

__author__ = 'patras' from domain_chargeableRobot import * from timer import DURATION from state import state DURATION.TIME = { 'put': 2, 'take': 2, 'perceive': 3, 'charge': 5, 'move': 10, 'moveToEmergency': 5, 'moveCharger': 15, 'addressEmergency': 10, 'wait': 5, } DURATION.COUNTER = { 'put': 2, 'take': 2, 'perceive': 3, 'charge': 5, 'move': 10, 'moveToEmergency': 5, 'moveCharger': 15, 'addressEmergency': 10, 'wait': 5, } rv.LOCATIONS = [1, 2, 3, 4] rv.EDGES = {1: [2], 2: [1, 3], 3: [2, 4], 4: [3]} rv.OBJECTS=['o1'] rv.ROBOTS=['r1'] def ResetState(): state.loc = {'r1': 2} state.charge = {'r1': 4} state.load = {'r1': NIL} state.pos = {'c1': 1, 'o1': UNK} state.containers = { 1:['o1'],2:[],3:[],4:[],} state.emergencyHandling = {'r1': False, 'r2': False} state.view = {} for l in rv.LOCATIONS: state.view[l] = False tasks = { 7: [['fetch', 'r1', 'o1']], } eventsEnv = { }

e614a47e3f16a16923d73953e6722c5099e8baa1

py

Python

tests/conftest.py

afrigon/fastapi-template

cb3c86353c67ef19c5abe12658e327ff37b14f90

2020-03-05T20:34:09.000Z

2020-04-19T02:33:53.000Z

tests/conftest.py

afrigon/sharify-api

383baa5ae089d996c2d68da8b55e566dd0cfbbf9

2019-12-17T18:49:29.000Z

2019-12-17T23:19:11.000Z

tests/conftest.py

afrigon/fastapi-template

cb3c86353c67ef19c5abe12658e327ff37b14f90

2020-01-07T14:25:38.000Z

2021-06-23T16:10:57.000Z

""" Application fixtures to easily create app instances Examples: $ python -m pytest $ coverage run -m pytest $ coverage report $ coverage html """ import pytest from starlette.testclient import TestClient from app import ApplicationFactory @pytest.fixture def app(): """debug application fixture""" return ApplicationFactory('API', 'Test application').create(debug=True) @pytest.fixture def client(app): """application client fixture""" return TestClient(app)

649d10222f6083f88868a8fb2dedd78e800b42ef

py

Python

RPI_Camera.py

KyungWonCho/Research-1

9f0e124ffbdb2e3e148ea5cc3336c2075b4d7420

RPI_Camera.py

KyungWonCho/Research-1

9f0e124ffbdb2e3e148ea5cc3336c2075b4d7420

RPI_Camera.py

KyungWonCho/Research-1

9f0e124ffbdb2e3e148ea5cc3336c2075b4d7420

from picamera import PiCamera from time import sleep camera = PiCamera() camera.start_preview() sleep(2) camera.capture('/home/pi/Desktop/img.jpg') camera.stop_preview()

b4d6b8b0b4e4e5e98d2d3eea0318434c146cc82c

py

Python

flexget/plugins/output/send_telegram.py

vbabiy/Flexget

9611689de68062cd3dddcf145d65c7a44a42d490

flexget/plugins/output/send_telegram.py

vbabiy/Flexget

9611689de68062cd3dddcf145d65c7a44a42d490

flexget/plugins/output/send_telegram.py

vbabiy/Flexget

9611689de68062cd3dddcf145d65c7a44a42d490

from __future__ import unicode_literals, division, absolute_import import sys from distutils.version import LooseVersion from ssl import SSLError from urllib2 import URLError from sqlalchemy import Column, Integer, String from flexget import db_schema, plugin, options from flexget.event import event from flexget.logger import console from flexget.utils.database import with_session from flexget.utils.template import RenderError try: import telegram from telegram.error import TelegramError except ImportError: telegram = None _MIN_TELEGRAM_VER = '3.2.0' _PLUGIN_NAME = 'send_telegram' _PARSERS = ['markdown', 'html'] _TOKEN_ATTR = 'bot_token' _TMPL_ATTR = 'template' _PARSE_ATTR = 'parse_mode' _RCPTS_ATTR = 'recipients' _USERNAME_ATTR = 'username' _FULLNAME_ATTR = 'fullname' _FIRSTNAME_ATTR = 'first' _SURNAME_ATTR = 'sur' _GROUP_ATTR = 'group' ChatIdsBase = db_schema.versioned_base('telegram_chat_ids', 0) class ChatIdEntry(ChatIdsBase): __tablename__ = 'telegram_chat_ids' id = Column(Integer, primary_key=True) username = Column(String, index=True, nullable=True) firstname = Column(String, index=True, nullable=True) surname = Column(String, index=True, nullable=True) group = Column(String, index=True, nullable=True) def __str__(self): x = ['id={0}'.format(self.id)] if self.username: x.append('username={0}'.format(self.username)) if self.firstname: x.append('firstname={0}'.format(self.firstname)) if self.surname: x.append('surname={0}'.format(self.surname)) if self.group: x.append('group={0}'.format(self.group)) return ' '.join(x) class SendTelegram(object): """Send a message to one or more Telegram users or groups upon accepting a download. Preparations:: * Install 'python-telegram-bot' python pkg (i.e. `pip install python-telegram-bot`) * Create a bot & obtain a token for it (see https://core.telegram.org/bots#botfather). * For direct messages (not to a group), start a conversation with the bot and click "START" in the Telegram app. * For group messages, add the bot to the desired group and send a start message to the bot: "/start" (mind the leading '/'). Configuration example:: my-task: send_telegram: bot_token: token template: {{title}} use_markdown: no recipients: - username: my-user-name - group: my-group-name - fullname: first: my-first-name sur: my-sur-name Bootstrapping and testing the bot:: * Execute: `flexget send_telegram bootstrap`. Look at the console output and make sure that the operation was successful. * Execute: `flexget send_telegram test-msg`. This will send a test message for every recipient you've configured. Configuration notes:: You may use any combination of recipients types (`username`, `group` or `fullname`) - 0 or more of each (but you need at least one total...). `template`:: Optional. The template from the example is the default. `parse_mode`:: Optional. Whether the template uses `markdown` or `html` formatting. NOTE: The markdown parser will fall back to basic parsing if there is a parsing error. This can be cause due to unclosed tags (watch out for wandering underscore when using markdown) `username` vs. `fullname`:: Not all Telegram users have a username. In such cases you would have to use the `fullname` approach. Otherwise, it is much easier to use the `username` configuration. """ log = None # initialized during plugin.register """:type: flexget.logger.FlexGetLogger""" _token = None _tmpl = None _use_markdown = False _usernames = None _fullnames = None _groups = None _bot = None schema = { 'type': 'object', 'properties': { _TOKEN_ATTR: {'type': 'string'}, _TMPL_ATTR: {'type': 'string', 'default': '{{title}}'}, _PARSE_ATTR: {'type': 'string', 'enum': _PARSERS}, _RCPTS_ATTR: { 'type': 'array', 'minItems': 1, 'items': { 'oneOf': [ { 'type': 'object', 'properties': { _USERNAME_ATTR: {'type': 'string'}, }, 'required': [_USERNAME_ATTR], 'additionalProperties': False, }, { 'type': 'object', 'properties': { _FULLNAME_ATTR: { 'type': 'object', 'properties': { _FIRSTNAME_ATTR: {'type': 'string'}, _SURNAME_ATTR: {'type': 'string'}, }, 'required': [_FIRSTNAME_ATTR, _SURNAME_ATTR], 'additionalProperties': False, }, }, 'required': [_FULLNAME_ATTR], 'additionalProperties': False, }, { 'type': 'object', 'properties': { _GROUP_ATTR: {'type': 'string'}, }, 'required': [_GROUP_ATTR], 'additionalProperties': False, }, ], }, }, }, 'required': [_TOKEN_ATTR, _RCPTS_ATTR], 'additionalProperties': False, } def _parse_config(self, config): """ :type config: dict """ self._token = config[_TOKEN_ATTR] self._tmpl = config[_TMPL_ATTR] self._parse_mode = config.get(_PARSE_ATTR) self._usernames = [] self._fullnames = [] self._groups = [] for i in config[_RCPTS_ATTR]: if _USERNAME_ATTR in i: self._usernames.append(i[_USERNAME_ATTR]) elif _FULLNAME_ATTR in i: fullname = i[_FULLNAME_ATTR] firstname = fullname[_FIRSTNAME_ATTR] surname = fullname[_SURNAME_ATTR] self._fullnames.append((firstname, surname)) elif _GROUP_ATTR in i: self._groups.append(i[_GROUP_ATTR]) def on_task_output(self, task, config): """makes this plugin count as output (stops warnings about missing outputs)""" pass def on_task_exit(self, task, config): """Send telegram message(s) at exit""" session = task.session chat_ids = self._real_init(session, config) if not chat_ids: return self._send_msgs(task, chat_ids) def _real_init(self, session, config, ): self._enforce_telegram_plugin_ver() self._parse_config(config) self.log.debug('token={0} parse_mode={5}, tmpl={4!r} usernames={1} fullnames={2} groups={3}'.format( self._token, self._usernames, self._fullnames, self._groups, self._tmpl, self._parse_mode)) self._init_bot() chat_ids = self._get_chat_ids_n_update_db(session) return chat_ids def bootstrap(self, session, config): """bootstrap the plugin configuration and update db with cached chat_ids""" console('{0} - bootstrapping...'.format(_PLUGIN_NAME)) chat_ids = self._real_init(session, config) found_usernames = [x.username for x in chat_ids if x.username] found_fullnames = [(x.firstname, x.surname) for x in chat_ids if x.firstname] found_grps = [x.group for x in chat_ids if x.group] missing_usernames = [x for x in self._usernames if x not in found_usernames] missing_fullnames = [x for x in self._fullnames if x not in found_fullnames] missing_grps = [x for x in self._groups if x not in found_grps] if missing_usernames or missing_fullnames or missing_grps: for i in missing_usernames: console('ERR: could not find chat_id for username: {0}'.format(i)) for i in missing_fullnames: console('ERR: could not find chat_id for fullname: {0} {1}'.format(*i)) for i in missing_grps: console('ERR: could not find chat_id for group: {0}'.format(i)) res = False else: console('{0} - bootstrap was successful'.format(_PLUGIN_NAME)) res = True return res def test_msg(self, session, config): """send test message to configured recipients""" console('{0} loading chat_ids...'.format(_PLUGIN_NAME)) chat_ids = self._real_init(session, config) console('{0} sending test message(s)...'.format(_PLUGIN_NAME)) for chat_id in (x.id for x in chat_ids): self._bot.sendMessage(chat_id=chat_id, text='test message from flexget') return True def _init_bot(self): self._bot = telegram.Bot(self._token) self._check_token() def _check_token(self): try: self._bot.getMe() except UnicodeDecodeError as e: self.log.trace('bot.getMe() raised: {!r}'.format(e)) raise plugin.PluginWarning('invalid bot token') except (URLError, SSLError) as e: self.log.error('Could not connect Telegram servers at this time, please try again later: %s', e.args[0]) except TelegramError as e: self.log.error('Could not connect Telegram servers at this time, please try again later: %s', e.message) @staticmethod def _enforce_telegram_plugin_ver(): if telegram is None: raise plugin.PluginWarning('missing python-telegram-bot pkg') elif not hasattr(telegram, str('__version__')): raise plugin.PluginWarning('invalid or old python-telegram-bot pkg') elif LooseVersion(telegram.__version__) < str(_MIN_TELEGRAM_VER): raise plugin.PluginWarning('old python-telegram-bot ({0})'.format(telegram.__version__)) def _send_msgs(self, task, chat_ids): kwargs = dict() if self._parse_mode == 'markdown': kwargs['parse_mode'] = telegram.ParseMode.MARKDOWN elif self._parse_mode == 'html': kwargs['parse_mode'] = 'HTML' # TODO: Change this to use ParseMode when it's implemented for entry in task.accepted: msg = self._render_msg(entry, self._tmpl) for chat_id in (x.id for x in chat_ids): try: self._bot.sendMessage(chat_id=chat_id, text=msg, **kwargs) except TelegramError as e: if kwargs['parse_mode']: self.log.warning( 'Failed to render message using parse mode %s. Falling back to basic parsing: %s' % ( kwargs['parse_mode'], e.message)) del kwargs['parse_mode'] try: self._bot.sendMessage(chat_id=chat_id, text=msg, **kwargs) except TelegramError as e: self.log.error('Cannot send message, : %s' % e.message) continue else: self.log.error('Cannot send message, : %s' % e.message) continue def _render_msg(self, entry, tmpl): """ :type entry: flexget.entry.Entry :type tmpl: str :rtype: str """ try: msg = entry.render(tmpl) except RenderError as e: title = entry.get('title') self.log.error('render error; title={0} err={1}'.format(title, e)) msg = title return msg def _get_chat_ids_n_update_db(self, session): """ :type session: sqlalchemy.orm.Session :rtype: list[ChatIdEntry] """ usernames = self._usernames[:] fullnames = self._fullnames[:] groups = self._groups[:] chat_ids, has_new_chat_ids = self._get_chat_ids(session, usernames, fullnames, groups) self.log.debug('chat_ids={0}'.format(chat_ids)) if not chat_ids: self.log.warning('no chat id found') else: if usernames: self.log.warning('no chat id found for usernames: {0}'.format(usernames)) if fullnames: self.log.warning('no chat id found for fullnames: {0}'.format(fullnames)) if groups: self.log.warning('no chat id found for groups: {0}'.format(groups)) if has_new_chat_ids: self._update_db(session, chat_ids) return chat_ids def _get_chat_ids(self, session, usernames, fullnames, groups): """get chat ids for `usernames`, `fullnames` & `groups`. entries with a matching chat ids will be removed from the input lists. :type session: sqlalchemy.orm.Session :type usernames: list[str] :type fullnames: list[tuple[str, str]] :type groups: list[str] :returns: chat ids, new chat ids found? :rtype: list[ChatIdEntry], bool """ chat_ids = list() self.log.debug('loading cached chat ids') chat_ids = self._get_cached_chat_ids(session, usernames, fullnames, groups) self.log.debug('found {0} cached chat_ids: {1}'.format(len(chat_ids), ['{0}'.format(x) for x in chat_ids])) if not (usernames or fullnames or groups): self.log.debug('all chat ids found in cache') return chat_ids, False self.log.debug('loading new chat ids') new_chat_ids = list(self._get_new_chat_ids(usernames, fullnames, groups)) self.log.debug('found {0} new chat_ids: {1}'.format(len(new_chat_ids), ['{0}'.format(x) for x in new_chat_ids])) chat_ids.extend(new_chat_ids) return chat_ids, bool(new_chat_ids) @staticmethod def _get_cached_chat_ids(session, usernames, fullnames, groups): """get chat ids from the cache (DB). remove found entries from `usernames`, `fullnames` & `groups` :type session: sqlalchemy.orm.Session :type usernames: list[str] :type fullnames: list[tuple[str, str]] :type groups: list[str] :rtype: list[ChatIdEntry] """ chat_ids = list() cached_usernames = dict((x.username, x) for x in session.query(ChatIdEntry).filter(ChatIdEntry.username != None).all()) cached_fullnames = dict(((x.firstname, x.surname), x) for x in session.query(ChatIdEntry).filter(ChatIdEntry.firstname != None).all()) cached_groups = dict((x.group, x) for x in session.query(ChatIdEntry).filter(ChatIdEntry.group != None).all()) len_ = len(usernames) for i, username in enumerate(reversed(usernames)): item = cached_usernames.get(username) if item: chat_ids.append(item) usernames.pop(len_ - i - 1) len_ = len(fullnames) for i, fullname in enumerate(reversed(fullnames)): item = cached_fullnames.get(fullname) if item: chat_ids.append(item) fullnames.pop(len_ - i - 1) len_ = len(groups) for i, grp in enumerate(reversed(groups)): item = cached_groups.get(grp) if item: chat_ids.append(item) groups.pop(len_ - i - 1) return chat_ids def _get_new_chat_ids(self, usernames, fullnames, groups): """get chat ids by querying the telegram `bot` :type usernames: list[str] :type fullnames: list[tuple[str, str]] :type groups: list[str] :rtype: __generator[ChatIdEntry] """ upd_usernames, upd_fullnames, upd_groups = self._get_bot_updates() len_ = len(usernames) for i, username in enumerate(reversed(usernames)): chat = upd_usernames.get(username) if chat is not None: entry = ChatIdEntry(id=chat.id, username=chat.username, firstname=chat.first_name, surname=chat.last_name) yield entry usernames.pop(len_ - i - 1) len_ = len(fullnames) for i, fullname in enumerate(reversed(fullnames)): chat = upd_fullnames.get(fullname) if chat is not None: entry = ChatIdEntry(id=chat.id, username=chat.username, firstname=chat.first_name, surname=chat.last_name) yield entry fullnames.pop(len_ - i - 1) len_ = len(groups) for i, grp in enumerate(reversed(groups)): chat = upd_groups.get(grp) if chat is not None: entry = ChatIdEntry(id=chat.id, group=chat.title) yield entry groups.pop(len_ - i - 1) def _get_bot_updates(self): """get updated chats info from telegram :type bot: telegram.Bot :rtype: (dict[str, telegram.User], dict[(str, str), telegram.User], dict[str, telegram.GroupChat]) """ # highly unlikely, but if there are more than 100 msgs waiting for the bot, we should not miss one updates = [] last_upd = 0 while 1: ups = self._bot.getUpdates(last_upd, limit=100) updates.extend(ups) if len(ups) < 100: break last_upd = ups[-1].update_id usernames = dict() fullnames = dict() groups = dict() for chat in (x.message.chat for x in updates): if chat.type == 'private': usernames[chat.username] = chat fullnames[(chat.first_name, chat.last_name)] = chat elif chat.type in ('group', 'supergroup' or 'channel'): groups[chat.title] = chat else: self.log.warn('unknown chat type: {0}'.format(type(chat))) return usernames, fullnames, groups def _update_db(self, session, chat_ids): """Update the DB with found `chat_ids` :type session: sqlalchemy.orm.Session :type chat_ids: list[ChatIdEntry] """ self.log.info('saving updated chat_ids to db') # avoid duplicate chat_ids. (this is possible if configuration specified both username & fullname chat_ids_d = dict((x.id, x) for x in chat_ids) session.add_all(chat_ids_d.itervalues()) session.commit() def _guess_task_name(manager): for task in manager.tasks: if _get_config(manager, task) is not None: break else: task = None return task def _get_config(manager, task): return manager.config['tasks'][task].get(_PLUGIN_NAME) @with_session() def do_cli(manager, args, session=None): """ :type manager: flexget.Manager """ task_name = _guess_task_name(manager) config = _get_config(manager, task_name) plugin_info = plugin.get_plugin_by_name(_PLUGIN_NAME) send_telegram = plugin_info.instance """:type: SendTelegram""" if args.action == 'bootstrap': res = send_telegram.bootstrap(session, config) elif args.action == 'test-msg': res = send_telegram.test_msg(session, config) else: raise RuntimeError('unknown action') sys.exit(int(not res)) @event('plugin.register') def register_plugin(): plugin.register(SendTelegram, _PLUGIN_NAME, api_ver=2) @event('options.register') def register_parser_arguments(): parser = options.register_command(_PLUGIN_NAME, do_cli, help='{0} cli'.format(_PLUGIN_NAME)) """:type: options.CoreArgumentParser""" subp = parser.add_subparsers(dest='action') bsp = subp.add_parser('bootstrap', help='bootstrap the plugin according to config') bsp.add_argument('--tasks', ) subp.add_parser('test-msg', help='send test message to all configured recipients')

08f5102c7998ca277a75754bba5044337112f6bf

py

Python

guestbook/views.py

hcpthanks/vCard

cc9a301f413961c398c355426013c0cc05fbb1b7

guestbook/views.py

hcpthanks/vCard

cc9a301f413961c398c355426013c0cc05fbb1b7

guestbook/views.py

hcpthanks/vCard

cc9a301f413961c398c355426013c0cc05fbb1b7

from django.shortcuts import render, redirect, reverse from django.http import HttpResponse from .models import Message # Create your views here. def post_message(request): """首页留言提交处理 """ #如果用户客户端提交方法是POST if request.method =='POST': # 得到想要的数据项 name = request.POST.get('name', '') email = request.POST.get('email','') content = request.POST.get('message','') # 保障name和content为必填 if name and content: #创建message实例 msg = Message(name=name, email=email, message=content) # 留言保存 msg.save() #留言填写后转跳到首页 return redirect(reverse('home')) else: return HttpResponse('用户名及留言必须填写!') return redirect(reverse('home'))

13d6b1f3c18ce36f6c003cff070c4d8f464451e7

py

Python

params/scenarios/partlyconstrained.py

systemsecologygroup/EasterIslandABM

bcd2e1268b41a549c6e47508650ec2ce8958ad1b

params/scenarios/partlyconstrained.py

systemsecologygroup/EasterIslandABM

bcd2e1268b41a549c6e47508650ec2ce8958ad1b

params/scenarios/partlyconstrained.py

systemsecologygroup/EasterIslandABM

bcd2e1268b41a549c6e47508650ec2ce8958ad1b

params_scenario = { "n_agents_arrival": 2, "p_split_threshold": int(36), "r_t": 2, "r_c": 1, "gamma": 0, # 0 }

788b40b7f0262c2081143410f03fd2375ea671c7

py

Python

models/rf.py

uva-hydroinformatics-lab/flood_data

de82afb48afbc5b6140c363b934c13827762c13e

models/rf.py

uva-hydroinformatics-lab/flood_data

de82afb48afbc5b6140c363b934c13827762c13e

2018-07-23T21:14:52.000Z

2018-07-26T03:46:56.000Z

models/rf.py

uva-hydroinformatics-lab/flood_data

de82afb48afbc5b6140c363b934c13827762c13e

2018-07-24T15:50:33.000Z

2018-07-27T19:04:38.000Z

from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import train_test_split import os import sys module_path = os.path.abspath(os.path.join('..')) if module_path not in sys.path: sys.path.append(module_path) from db_scripts.main_db_script import data_dir, db_filename from hr_db_scripts.main_db_script import get_table_for_variable_code, get_db_table_as_df import pandas as pd import matplotlib.pyplot as plt df = get_db_table_as_df('for_model_avgs', dbfilename=db_filename) print df.shape df = df[df.rd>0.01] print df.shape out_col = 'num_flooded' in_cols = [a for a in df.columns if a not in ['event_date', 'event_name']] reg = RandomForestRegressor() reg.fit(df[in_cols], df[out_col]) preds = reg.predict(df[in_cols]) maxval = df[out_col].max() fig, ax = plt.subplots(1) ax.scatter(df.num_flooded, preds) ax.set_aspect('equal', adjustable='box-forced') ax.set_xlim((0, maxval*1.05)) ax.set_ylim((0, maxval*1.05)) plt.show()

da7a7e4541a33981e8b0b3135ec24413fdeff187

py

Python

docpub/docs/pipeline.py

mcclatchy/docpub

1ad006803d60aa508394ae656b9554bb815bf92d

2017-08-07T13:31:20.000Z

2021-05-23T22:46:14.000Z

docpub/docs/pipeline.py

mcclatchy/docpub

1ad006803d60aa508394ae656b9554bb815bf92d

2020-06-05T17:26:25.000Z

2021-06-10T18:47:54.000Z

docpub/docs/pipeline.py

mcclatchy/docpub

1ad006803d60aa508394ae656b9554bb815bf92d

2017-08-07T13:31:20.000Z

2017-08-07T13:31:20.000Z

# extending python-social-auth pipeline options from django.contrib.auth.models import Group #, User # from django.core.mail import send_mail from docpub.settings import APP_DOMAIN, EMAIL_RECIPIENT, EMAIL_SENDER, SLACK_USER from docs.slackbot import slackbot def apply_permissions(backend, user, response, *args, **kwargs): ## if the user hasn't logged in before if not user.last_login: ## get the add/edit/delete group group = Group.objects.get(name='Add/edit/delete documents') ## add the user to that group group.user_set.add(user) ## get the edit user group group = Group.objects.get(name='Edit user') ## add the user to that group group.user_set.add(user) ## set the user as staff user.is_staff = True user.save() # def email_admins(backend, user, response, *args, **kwargs): # if not user.last_login: # recipients = [EMAIL_RECIPIENT] # subject = 'New user registered: {user}'.format(user=user) # message = None # html_message = 'Edit user profile:<br> {domain}/admin/auth/user/{id}/change/'.format(domain=APP_DOMAIN, id=user.id) # send_mail( # subject, ## subject (string) # message, ## message (string) # EMAIL_SENDER, ## sender (string) # recipients, ## recipients (list) # fail_silently=False, # html_message=html_message, # ) def slack_notify(backend, user, response, *args, **kwargs): if not user.last_login: message = '{notify} New user registered: {user}\n\n Edit user profile:\n http://{domain}/admin/auth/user/{id}/change/'.format(notify=SLACK_USER, user=user, domain=APP_DOMAIN, id=user.id) slackbot(message)

2803c434eb047663935f62a30f9b8ca1d7973115

py

Python

parsercode/daedcode/step3_archive_arena_file.py

DeadlyK1tten/arena_log_parser

d672df63fefd55bd92ad31bd472464073ceb6019

parsercode/daedcode/step3_archive_arena_file.py

DeadlyK1tten/arena_log_parser

d672df63fefd55bd92ad31bd472464073ceb6019

parsercode/daedcode/step3_archive_arena_file.py

DeadlyK1tten/arena_log_parser

d672df63fefd55bd92ad31bd472464073ceb6019

""" archive output_log.txt to archive Tested on Windows, will it work anywhere else> """ import glob import os def main(): print('starting') if not os.path.exists('output_log.txt'): print('no log file') return file_list = glob.glob(os.path.join('archive', 'output_log*.txt')) for n in range(0, len(file_list)+1): attempt = os.path.join('archive', 'output_log_{0:03}.txt'.format(n)) if not os.path.exists(attempt): os.rename('output_log.txt', attempt) break if __name__ == '__main__': main()

e7e35a172884c951ba7d4a6346a67ea48fcc6dce

py

Python

ai4eutils/write_html_image_list.py

dnarqq/WildHack

4fb9e4545cb47a4283ebc1dec955c0817b1664c0

2019-07-01T04:50:47.000Z

2022-03-16T01:48:16.000Z

ai4eutils/write_html_image_list.py

dnarqq/WildHack

4fb9e4545cb47a4283ebc1dec955c0817b1664c0

2020-01-20T00:43:10.000Z

2020-08-13T00:42:20.000Z

ai4eutils/write_html_image_list.py

dnarqq/WildHack

4fb9e4545cb47a4283ebc1dec955c0817b1664c0

2019-11-19T23:27:51.000Z

2022-03-25T20:22:28.000Z

# # function write_html_image_list(filename,imageFilenames,titles, options) # # Given a list of image file names, writes an HTML file that # shows all those images, with optional one-line headers above each. # # Each "filename" can also be a dict with elements 'filename','title', # 'imageStyle','textStyle' # # Strips directory information away if options.makeRelative == 1. # # Tries to convert absolute to relative paths if options.makeRelative == 2. # # Owner: Dan Morris ([email protected]) # #%% Constants and imports import math import matlab_porting_tools as mpt #%% write_html_image_list def write_html_image_list(filename=None,images=None,options={}): # returns an options struct if 'fHtml' not in options: options['fHtml'] = -1 if 'makeRelative' not in options: options['makeRelative'] = 0 if 'headerHtml' not in options: options['headerHtml'] = '' if 'trailerHtml' not in options: options['trailerHtml'] = '' if 'defaultTextStyle' not in options: options['defaultTextStyle'] = \ "font-family:calibri,verdana,arial;font-weight:bold;font-size:150%;text-align:left;margin:0px;" if 'defaultImageStyle' not in options: options['defaultImageStyle'] = \ "margin:0px;margin-top:5px;margin-bottom:5px;" # Possibly split the html output for figures into multiple files; Chrome gets sad with # thousands of images in a single tab. if 'maxFiguresPerHtmlFile' not in options: options['maxFiguresPerHtmlFile'] = math.inf if filename == None: return options # images may be a list of images or a list of image/style/title dictionaries, # enforce that it's the latter to simplify downstream code for iImage,imageInfo in enumerate(images): if isinstance(imageInfo,str): imageInfo = {'filename':imageInfo,'imageStyle':'','title':'','textStyle':''} if 'filename' not in imageInfo: imageInfo['filename'] = '' if 'imageStyle' not in imageInfo: imageInfo['imageStyle'] = options['defaultImageStyle'] if 'title' not in imageInfo: imageInfo['title'] = '' if 'textStyle' not in imageInfo: textStyle = options['defaultTextStyle'] imageInfo['textStyle'] = options['defaultTextStyle'] images[iImage] = imageInfo # Remove leading directory information from filenames if requested if options['makeRelative'] == 1: for iImage in range(0,len(images)): _,n,e = mpt.fileparts(images[iImage]['filename']) images[iImage]['filename'] = n + e elif options['makeRelative'] == 2: baseDir,_,_ = mpt.fileparts(filename) if len(baseDir) > 1 and baseDir[-1] != '\\': baseDir = baseDir + '\\' for iImage in range(0,len(images)): fn = images[iImage]['filename'] fn = fn.replace(baseDir,'') images[iImage]['filename'] = fn nImages = len(images) # If we need to break this up into multiple files... if nImages > options['maxFiguresPerHtmlFile']: # You can't supply your own file handle in this case if options['fHtml'] != -1: raise ValueError( 'You can''t supply your own file handle if we have to page the image set') figureFileStartingIndices = list(range(0,nImages,options['maxFiguresPerHtmlFile'])) assert len(figureFileStartingIndices) > 1 # Open the meta-output file fMeta = open(filename,'w') # Write header stuff fMeta.write('<html><body>\n') fMeta.write(options['headerHtml']) fMeta.write('<table border = 0 cellpadding = 2>\n') for startingIndex in figureFileStartingIndices: iStart = startingIndex iEnd = startingIndex+options['maxFiguresPerHtmlFile']-1; if iEnd >= nImages: iEnd = nImages-1 trailer = 'image_{:05d}_{:05d}'.format(iStart,iEnd) localFiguresHtmlFilename = mpt.insert_before_extension(filename,trailer) fMeta.write('<tr><td>\n') fMeta.write('<p style="padding-bottom:0px;margin-bottom:0px;text-align:left;font-family:''segoe ui'',calibri,arial;font-size:100%;text-decoration:none;font-weight:bold;">') fMeta.write('<a href="{}">Figures for images {} through {}</a></p></td></tr>\n'.format( localFiguresHtmlFilename,iStart,iEnd)) localImages = images[iStart:iEnd+1] localOptions = options.copy(); localOptions['headerHtml'] = ''; localOptions['trailerHtml'] = ''; # Make a recursive call for this image set write_html_image_list(localFiguresHtmlFilename,localImages,localOptions) # ...for each page of images fMeta.write('</table></body>\n') fMeta.write(options['trailerHtml']) fMeta.write('</html>\n') fMeta.close() return options # ...if we have to make multiple sub-pages bCleanupFile = False if options['fHtml'] == -1: bCleanupFile = True; fHtml = open(filename,'w') else: fHtml = options['fHtml'] fHtml.write('<html><body>\n') fHtml.write(options['headerHtml']) # Write out images for iImage,image in enumerate(images): title = image['title'] imageStyle = image['imageStyle'] textStyle = image['textStyle'] filename = image['filename'] # Remove unicode characters title = title.encode('ascii','ignore').decode('ascii') filename = filename.encode('ascii','ignore').decode('ascii') if len(title) > 0: fHtml.write( '<p style="{}">{}</p>\n'\ .format(textStyle,title)) fHtml.write('<img src="{}" style="{}">\n'.format(filename,imageStyle)) if iImage != len(images)-1: fHtml.write('<br/>') # ...for each image we need to write fHtml.write(options['trailerHtml']) fHtml.write('</body></html>\n') if bCleanupFile: fHtml.close() # ...function

ecea65ae45fd2bf00f18ee807d93dc2b1786376e

py

Python

test/ReadsAlignmentUtils_server_test.py

Tianhao-Gu/ReadsAlignmentUtils

dfd5f90489bb8831b142605b36b08f9ebb9d7e3d

test/ReadsAlignmentUtils_server_test.py

Tianhao-Gu/ReadsAlignmentUtils

dfd5f90489bb8831b142605b36b08f9ebb9d7e3d

2018-08-08T00:35:39.000Z

2021-01-04T19:57:25.000Z

test/ReadsAlignmentUtils_server_test.py

Tianhao-Gu/ReadsAlignmentUtils

dfd5f90489bb8831b142605b36b08f9ebb9d7e3d

2017-05-30T14:53:37.000Z

2020-12-16T22:58:32.000Z

# -*- coding: utf-8 -*- import glob import hashlib import inspect import os # noqa: F401 import shutil import tempfile import time import unittest from configparser import ConfigParser from datetime import datetime from os import environ from pprint import pprint # noqa: F401 from zipfile import ZipFile import requests from ReadsAlignmentUtils.authclient import KBaseAuth as _KBaseAuth from ReadsAlignmentUtils.ReadsAlignmentUtilsImpl import ReadsAlignmentUtils from ReadsAlignmentUtils.ReadsAlignmentUtilsServer import MethodContext from installed_clients.AbstractHandleClient import AbstractHandle as HandleService from installed_clients.AssemblyUtilClient import AssemblyUtil from installed_clients.DataFileUtilClient import DataFileUtil from installed_clients.GenomeFileUtilClient import GenomeFileUtil from installed_clients.ReadsUtilsClient import ReadsUtils from installed_clients.WorkspaceClient import Workspace def dictmerge(x, y): z = x.copy() z.update(y) return z class ReadsAlignmentUtilsTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.token = environ.get('KB_AUTH_TOKEN', None) cls.callbackURL = environ.get('SDK_CALLBACK_URL') config_file = environ.get('KB_DEPLOYMENT_CONFIG', None) cls.cfg = {} config = ConfigParser() config.read(config_file) for nameval in config.items('ReadsAlignmentUtils'): cls.cfg[nameval[0]] = nameval[1] # Getting username from Auth profile for token authServiceUrl = cls.cfg['auth-service-url'] auth_client = _KBaseAuth(authServiceUrl) user_id = auth_client.get_user(cls.token) # WARNING: don't call any logging methods on the context object, # it'll result in a NoneType error cls.ctx = MethodContext(None) cls.ctx.update({'token': cls.token, 'user_id': user_id, 'provenance': [ {'service': 'ReadsAlignmentUtils', 'method': 'please_never_use_it_in_production', 'method_params': [] }], 'authenticated': 1}) cls.shockURL = cls.cfg['shock-url'] cls.wsURL = cls.cfg['workspace-url'] cls.wsClient = Workspace(cls.wsURL) cls.ws = Workspace(cls.wsURL, token=cls.token) cls.hs = HandleService(url=cls.cfg['handle-service-url'], token=cls.token) # create workspace wssuffix = int(time.time() * 1000) wsname = "test_alignment_" + str(wssuffix) cls.wsinfo = cls.wsClient.create_workspace({'workspace': wsname}) print('created workspace ' + cls.getWsName()) cls.serviceImpl = ReadsAlignmentUtils(cls.cfg) cls.readUtilsImpl = ReadsUtils(cls.callbackURL) cls.dfu = DataFileUtil(cls.callbackURL) cls.assemblyUtil = AssemblyUtil(cls.callbackURL) cls.gfu = GenomeFileUtil(cls.callbackURL) cls.scratch = cls.cfg['scratch'] cls.callback_url = os.environ['SDK_CALLBACK_URL'] cls.staged = {} cls.nodes_to_delete = [] cls.handles_to_delete = [] cls.setupTestData() @classmethod def tearDownClass(cls): if hasattr(cls, 'wsName'): cls.wsClient.delete_workspace({'workspace': cls.wsName}) print('Test workspace was deleted') if hasattr(cls, 'nodes_to_delete'): for node in cls.nodes_to_delete: cls.delete_shock_node(node) if hasattr(cls, 'handles_to_delete'): cls.hs.delete_handles(cls.hs.hids_to_handles(cls.handles_to_delete)) print('Deleted handles ' + str(cls.handles_to_delete)) def getWsClient(self): return self.wsClient @classmethod def getWsName(cls): return cls.wsinfo[1] @classmethod def getImpl(cls): return cls.serviceImpl def getContext(self): return self.ctx @classmethod def delete_shock_node(cls, node_id): header = {'Authorization': 'Oauth {0}'.format(cls.token)} requests.delete(cls.shockURL + '/node/' + node_id, headers=header, allow_redirects=True) print('Deleted shock node ' + node_id) @classmethod def upload_file_to_shock(cls, file_path): """ Use DataFileUtil.file_to_shock() save a file to a SHOCK instance. """ if file_path is None: raise Exception("No file given for upload to SHOCK!") # copy file to where DFU can see it (can only see scratch) src_file_basename = os.path.basename(file_path) shared_file_path = os.path.join(cls.scratch, src_file_basename) shutil.copy2(file_path, shared_file_path) # Upload files to shock try: shock_info = cls.dfu.file_to_shock({ 'file_path': shared_file_path, 'make_handle': 1 }) except Exception as e: raise ValueError('Unable to store ' + file_path + str(e)) # remember shock info if not hasattr(cls, 'shock_ids'): cls.shock_ids = [] cls.shock_ids.append(shock_info['shock_id']) return shock_info @classmethod def upload_file_to_shock_and_get_handle(cls, test_file): """ Uploads the file in test_file to shock and returns the node and a handle to the node. """ print('loading file to shock: ' + test_file) node = cls.upload_file_to_shock(test_file) pprint(node) cls.nodes_to_delete.append(node['shock_id']) print('creating handle for shock id ' + node['shock_id']) handle_id = cls.hs.persist_handle({'id': node['shock_id'], 'type': 'shock', 'url': cls.shockURL }) cls.handles_to_delete.append(handle_id) md5 = node['handle']['remote_md5'] return node['shock_id'], handle_id, md5, node['size'] @classmethod def upload_reads(cls, wsobjname, object_body, fwd_reads, rev_reads=None, single_end=False, sequencing_tech='Illumina', single_genome='1'): ob = dict(object_body) # copy ob['sequencing_tech'] = sequencing_tech # ob['single_genome'] = single_genome ob['wsname'] = cls.getWsName() ob['name'] = wsobjname if single_end or rev_reads: ob['interleaved'] = 0 else: ob['interleaved'] = 1 print('\n===============staging data for object ' + wsobjname + '================') print('uploading forward reads file ' + fwd_reads['file']) fwd_id, fwd_handle_id, fwd_md5, fwd_size = \ cls.upload_file_to_shock_and_get_handle(fwd_reads['file']) ob['fwd_id'] = fwd_id rev_id = None rev_handle_id = None if rev_reads: print('uploading reverse reads file ' + rev_reads['file']) rev_id, rev_handle_id, rev_md5, rev_size = \ cls.upload_file_to_shock_and_get_handle(rev_reads['file']) ob['rev_id'] = rev_id obj_ref = cls.readUtilsImpl.upload_reads(ob) objdata = cls.wsClient.get_object_info_new({ 'objects': [{'ref': obj_ref['obj_ref']}] })[0] cls.staged[wsobjname] = {'info': objdata, 'ref': cls.make_ref(objdata), 'fwd_node_id': fwd_id, 'rev_node_id': rev_id, 'fwd_handle_id': fwd_handle_id, 'rev_handle_id': rev_handle_id } @classmethod def upload_genome(cls, wsobj_name, file_name): genbank_file_path = os.path.join(cls.scratch, file_name) shutil.copy(os.path.join('data', file_name), genbank_file_path) genome_obj = cls.gfu.genbank_to_genome({'file': {'path': genbank_file_path}, 'workspace_name': cls.getWsName(), 'genome_name': wsobj_name, 'source': 'Ensembl', 'generate_ids_if_needed': 1, 'generate_missing_genes': 1 }) cls.staged[wsobj_name] = {'info': genome_obj['genome_info'], 'ref': genome_obj['genome_ref']} @classmethod def upload_assembly(cls, wsobj_name, file_name): fasta_path = os.path.join(cls.scratch, file_name) shutil.copy(os.path.join('data', file_name), fasta_path) assembly_ref = cls.assemblyUtil.save_assembly_from_fasta({'file': {'path': fasta_path}, 'workspace_name': cls.getWsName(), 'assembly_name': wsobj_name }) cls.staged[wsobj_name] = {'info': None, 'ref': assembly_ref} @classmethod def upload_empty_data(cls, wsobjname): objdata = cls.wsClient.save_objects({ 'workspace': cls.getWsName(), 'objects': [{'type': 'Empty.AType', 'data': {}, 'name': 'empty' }] })[0] cls.staged[wsobjname] = {'info': objdata, 'ref': cls.make_ref(objdata), } @classmethod def save_ws_obj(cls, obj, objname, objtype): return cls.ws.save_objects({ 'workspace': cls.getWsName(), 'objects': [{'type': objtype, 'data': obj, 'name': objname }] })[0] @classmethod def setupTestFile(cls, file_name): file_base, file_ext = os.path.splitext(file_name) timestamp = int((datetime.utcnow() - datetime.utcfromtimestamp(0)).total_seconds() * 1000) upload_dir = os.path.join(cls.scratch, 'upload_' + file_ext[1:] + '_' + str(timestamp)) os.mkdir(upload_dir) ret = {} ret['name'] = file_name ret['data_file'] = os.path.join('data/', file_name) ret['file_path'] = os.path.join(upload_dir, file_name) ret['size'] = cls.getSize(ret.get('data_file')) ret['md5'] = cls.md5(ret.get('data_file')) return ret @classmethod def setupTestData(cls): cls.test_bam_file = cls.setupTestFile('accepted_hits.bam') cls.test_bai_file = cls.setupTestFile('accepted_hits.bai') cls.test_sam_file = cls.setupTestFile('accepted_hits.sam') shutil.copy(cls.test_bam_file['data_file'], cls.test_bam_file['file_path']) shutil.copy(cls.test_sam_file['data_file'], cls.test_sam_file['file_path']) int_reads = {'file': 'data/interleaved.fq', 'name': '', 'type': ''} cls.upload_reads('intbasic', {'single_genome': 1}, int_reads) cls.upload_genome('test_genome', 'minimal.gbff') cls.upload_assembly('test_assembly', 'test.fna') cls.upload_empty_data('empty') cls.more_upload_params = { 'read_library_ref': cls.getWsName() + '/intbasic', 'assembly_or_genome_ref': cls.getWsName() + '/test_assembly', 'condition': 'test_condition' } params = dictmerge({'destination_ref': cls.getWsName() + '/test_bam', 'file_path': cls.test_bam_file['file_path'], 'validate': 'True' }, cls.more_upload_params) cls.getImpl().upload_alignment(cls.ctx, params) params = dictmerge({'destination_ref': cls.getWsName() + '/test_sam', 'file_path': cls.test_sam_file['file_path'], 'validate': 'True' }, cls.more_upload_params) cls.getImpl().upload_alignment(cls.ctx, params) @classmethod def make_ref(cls, objinfo): return str(objinfo[6]) + '/' + str(objinfo[0]) + '/' + str(objinfo[4]) @classmethod def getSize(cls, filename): return os.path.getsize(filename) @classmethod def md5(cls, filename): with open(filename, 'rb') as file_: hash_md5 = hashlib.md5() buf = file_.read(65536) while len(buf) > 0: hash_md5.update(buf) buf = file_.read(65536) return hash_md5.hexdigest() # NOTE: According to Python unittest naming rules test method names should start from 'test'. # noqa def upload_alignment_success(self, params, expected): obj = self.dfu.get_objects( {'object_refs': [params.get('destination_ref')]})['data'][0] print("============ GET OBJECTS OUTPUT ==============") pprint(obj) print("==============================================") self.assertEqual(obj['info'][2].startswith( 'KBaseRNASeq.RNASeqAlignment'), True) d = obj['data'] self.assertEqual(d['genome_id'], params.get('assembly_or_genome_ref')) self.assertEqual(d['condition'], params.get('condition')) self.assertEqual(d['read_sample_id'], params.get('read_library_ref')) self.assertEqual(d['library_type'].startswith('KBaseFile.PairedEndLibrary'), True) self.assertEqual(d['size'], expected.get('size')) f = d['file'] self.assertEqual(f['file_name'], expected.get('name')) self.assertEqual(f['remote_md5'], expected.get('md5')) node = f['id'] self.nodes_to_delete.append(node) def check_file(self, file_path, expected): out_dir, file_name = os.path.split(file_path) size = os.path.getsize(file_path) md5 = self.md5(file_path) self.assertEqual(size, expected['size']) self.assertEqual(md5, expected['md5']) def download_alignment_success(self, obj_name, expectedBAM, expectedSAM, expectedBAI): test_name = inspect.stack()[1][3] print('\n**** starting expected download success test: ' + test_name + ' ***\n') params = {'source_ref': self.getWsName() + '/' + obj_name, 'downloadSAM': 'True', 'downloadBAI': 'True'} ret = self.getImpl().download_alignment(self.ctx, params)[0] print("================= DOWNLOADED FILES =================== ") pprint(ret) print("========================================================") bam_file_path = os.path.join(ret.get('destination_dir'), self.test_bam_file.get('name')) sam_file_path = glob.glob(ret.get('destination_dir') + '/*.sam')[0] bai_file_path = glob.glob(ret.get('destination_dir') + '/*.bai')[0] self.check_file(bam_file_path, expectedBAM) self.check_file(sam_file_path, expectedSAM) self.check_file(bai_file_path, expectedBAI) def test_upload_success_bam(self): params = dictmerge({'destination_ref': self.getWsName() + '/test_bam', 'file_path': self.test_bam_file['file_path'], 'validate': 'True' }, self.more_upload_params) expected = self.test_bam_file self.upload_alignment_success(params, expected) def test_upload_success_sam(self): params = dictmerge({'destination_ref': self.getWsName() + '/test_sam', 'file_path': self.test_sam_file['file_path'], 'validate': 'True' }, self.more_upload_params) expected = self.test_bam_file self.upload_alignment_success(params, expected) def test_download_success_bam(self): self.download_alignment_success('test_bam', self.test_bam_file, self.test_sam_file, self.test_bai_file) def test_download_success_sam(self): self.download_alignment_success('test_sam', self.test_bam_file, self.test_sam_file, self.test_bai_file) def test_get_aligner_stats(self): # test_bam_file = os.path.join("data", "accepted_hits.bam") # bam_file = os.path.join(self.scratch, os.path.basename(test_bam_file)) # shutil.copy(test_bam_file, bam_file) stats_data = self.getImpl()._get_aligner_stats(self.test_bam_file['file_path']) self.assertEqual(stats_data.get('total_reads'), 15254) self.assertEqual(stats_data.get('mapped_reads'), 14969) self.assertEqual(stats_data.get('unmapped_reads'), 285) self.assertEqual(stats_data.get('singletons'), 0) self.assertEqual(stats_data.get('multiple_alignments'), 3519) # Following test uses object refs from a narrative to test backward compatibility to download # already created Alignment objects in RNASeq. comment the next line to run the test @unittest.skip("skipped test_download_legacy_alignment_success") def test_download_legacy_alignment_success(self): ci_alignment_ref = '22254/23/1' appdev_alignment_ref = '4389/54/1' test_name = inspect.stack()[1][3] print('\n**** starting expected download success test: ' + test_name + ' ***\n') params = {'source_ref': appdev_alignment_ref, 'downloadSAM': 'True'} ret = self.getImpl().download_alignment(self.ctx, params)[0] print("================= DOWNLOADED FILES =================== ") pprint(ret) print("=======================================================") def export_alignment_success(self, objname, export_params, expected_num_files, expectedBAM, expectedSAM, expectedBAI): test_name = inspect.stack()[1][3] print('\n*** starting expected export pass test: ' + test_name + ' **') export_params['source_ref'] = self.getWsName() + '/' + objname shocknode = self.getImpl().export_alignment(self.ctx, export_params)[0]['shock_id'] node_url = self.shockURL + '/node/' + shocknode headers = {'Authorization': 'OAuth ' + self.token} r = requests.get(node_url, headers=headers, allow_redirects=True) fn = r.json()['data']['file']['name'] tempdir = tempfile.mkdtemp(dir=self.scratch) file_path = os.path.join(tempdir, test_name) + '.zip' print('zip file path: ' + file_path) print('downloading shocknode ' + shocknode) with open(file_path, 'wb') as fhandle: r = requests.get(node_url + '?download_raw', stream=True, headers=headers, allow_redirects=True) for chunk in r.iter_content(1024): if not chunk: break fhandle.write(chunk) with ZipFile(file_path) as z: z.extractall(tempdir) print('zip file contents: ' + str(os.listdir(tempdir))) count = 0 for f in os.listdir(tempdir): if '.bam' in f: print('BAM file: ' + f) count += 1 md5 = self.md5(os.path.join(tempdir, f)) self.assertEqual(md5, expectedBAM.get('md5')) if '.sam' in f: print('SAM file: ' + f) count += 1 md5 = self.md5(os.path.join(tempdir, f)) self.assertEqual(md5, expectedSAM.get('md5')) if '.bai' in f: count += 1 print('BAI file: ' + f) md5 = self.md5(os.path.join(tempdir, f)) self.assertEqual(md5, expectedBAI.get('md5')) self.assertEqual(count, expected_num_files) def test_success_export_alignment_bam(self): opt_params = {'exportSAM': 'True', 'exportBAI': 'True'} self.export_alignment_success('test_bam', opt_params, 3, self.test_bam_file, self.test_sam_file, self.test_bai_file) def test_success_export_alignment_sam(self): opt_params = {'exportSAM': 'True', 'exportBAI': 'True'} self.export_alignment_success('test_sam', opt_params, 3, self.test_bam_file, self.test_sam_file, self.test_bai_file) def test_valid_validate_alignment(self): params = {'file_path': '/kb/module/test/data/samtools/accepted_hits.sam', 'ignore': ['MATE_NOT_FOUND', 'MISSING_READ_GROUP', 'INVALID_MAPPING_QUALITY']} ret = self.getImpl().validate_alignment(self.ctx, params)[0] self.assertEqual(True, ret['validated']) params = {'file_path': '/kb/module/test/data/samtools/accepted_hits.sam'} ret = self.getImpl().validate_alignment(self.ctx, params)[0] self.assertEqual(True, ret['validated']) def test_valid_invalidate_alignment(self): params = {'file_path': '/kb/module/test/data/samtools/accepted_hits_invalid.sam', 'ignore': ['MATE_NOT_FOUND', 'MISSING_READ_GROUP', 'INVALID_MAPPING_QUALITY']} ret = self.getImpl().validate_alignment(self.ctx, params)[0] self.assertEqual(False, ret['validated']) def fail_upload_alignment(self, params, error, exception=ValueError, do_startswith=False): test_name = inspect.stack()[1][3] print('\n*** starting expected upload fail test: ' + test_name + ' **') with self.assertRaises(exception) as context: self.getImpl().upload_alignment(self.ctx, params) if do_startswith: self.assertTrue(str(context.exception).startswith(error), "Error message {} does not start with {}".format( str(context.exception), error)) else: self.assertEqual(error, str(context.exception)) def test_upload_fail_empty_reads(self): params = dictmerge({ 'destination_ref': self.getWsName() + '/test_download_sam', 'file_path': self.test_sam_file['file_path'] }, self.more_upload_params) params['read_library_ref'] = self.getWsName() + '/empty' self.fail_upload_alignment(params, 'read_library_ref parameter should be of type ' + 'KBaseFile.SingleEndLibrary or KBaseFile.PairedEndLibrary or ' + 'KBaseAssembly.SingleEndLibrary or KBaseAssembly.PairedEndLibrary') def test_upload_fail_no_dst_ref(self): self.fail_upload_alignment( dictmerge({ 'condition': 'bar', 'file_path': 'test' }, self.more_upload_params), 'destination_ref parameter is required') def test_upload_fail_no_ws_name(self): self.fail_upload_alignment( dictmerge({ 'condition': 'bar', 'destination_ref': '/foo', 'file_path': 'test' }, self.more_upload_params), 'Workspace name or id is required in destination_ref') def test_upload_fail_no_obj_name(self): self.fail_upload_alignment( dictmerge({ 'condition': 'bar', 'destination_ref': self.getWsName() + '/', 'file_path': 'test' }, self.more_upload_params), 'Object name or id is required in destination_ref') def test_upload_fail_no_file(self): self.fail_upload_alignment( dictmerge({ 'destination_ref': self.getWsName()+'/foo' }, self.more_upload_params), 'file_path parameter is required') def test_upload_fail_non_existant_file(self): self.fail_upload_alignment( dictmerge({ 'destination_ref': self.getWsName()+'/foo', 'file_path': 'foo' }, self.more_upload_params), 'File does not exist: foo') def test_upload_fail_bad_wsname(self): self.fail_upload_alignment( dictmerge({ 'destination_ref': '&bad' + '/foo', 'file_path': 'foo' }, self.more_upload_params), "'Illegal character in workspace name &bad: &'") def test_upload_fail_non_existant_wsname(self): self.fail_upload_alignment( dictmerge({ 'destination_ref': '1s' + '/foo', 'file_path': 'bar' }, self.more_upload_params), "'No workspace with name 1s exists'")

9545c3c3affc6ec3df2c8d13528c3834dfa00127

py

Python

udon/email.py

GregoireDelannoy/udon

8b71c0dd241d1fee0f90197b89338a6750050504

2020-02-11T14:46:10.000Z

2020-02-11T14:46:10.000Z

udon/email.py

GregoireDelannoy/udon

8b71c0dd241d1fee0f90197b89338a6750050504

2020-09-19T13:53:06.000Z

2020-09-19T13:53:06.000Z

udon/email.py

GregoireDelannoy/udon

8b71c0dd241d1fee0f90197b89338a6750050504

2020-07-08T07:30:38.000Z

2021-01-27T10:19:24.000Z

# # Copyright (c) 2019 Eric Faurot <[email protected]> # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES # WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR # ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES # WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN # ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF # OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. # import email import email.header import email.message class ErrorMixin: errors = () def add_error(self, error): self.errors += (error, ) class Header(ErrorMixin): def __init__(self, name, raw): self.name = name self.raw = raw assert isinstance(raw, str) self.value = raw try: raw.encode('utf-8') except UnicodeEncodeError: self.add_error('has-surrogates') self.value = raw.encode('utf-8', 'surrogateescape').decode('utf-8', 'replace') @property def decoded(self): return self.decode() def decode(self, unfold = True, strip = True): def _decode(s, e): if isinstance(s, bytes): s = s.decode(e or 'ascii') return s value = self.value if value and unfold: value = value.replace('\n', '').replace('\r', '') if value: value = ''.join(_decode(s, e) for (s, e) in email.header.decode_header(value)) if value and strip: value = ' '.join(value.strip().split()) return value class Part(ErrorMixin): raw = None body = None headers = () children = () def get_header(self, name): for header in self.get_all_headers(name): return header def get_all_headers(self, name): for header in self.headers: if name.lower() == header.name.lower(): yield header def walk(self): def _iter(part, ancestors): yield part, ancestors for child in part.children: for res in _iter(child, ancestors + (part, )): yield res return _iter(self, ()) class Message(Part): @classmethod def from_bytes(kls, data): msg = email.message_from_bytes(data) return kls.from_message(msg) @classmethod def from_message(kls, msg): def _build_part(part, node): part.raw = node part.headers = tuple(Header(name, raw) for name, raw in node._headers) payload = node.get_payload(decode = True) if isinstance(payload, bytes): try: body = payload.decode(node.get_content_charset('latin-1')) except UnicodeDecodeError: part.add_error('payload-encoding') body = payload.decode('latin-1') part.body = body if node.is_multipart(): part.children = tuple(_build_part(Part(), child) for child in node.get_payload()) return part return _build_part(kls(), msg)

fa93e1647da961f5f636dca3ef38b48e98a3773c

py

Python

src/pretix/api/oauth.py

fabm3n/pretix

520fb620888d5c434665a6a4a33cb2ab22dd42c7

2015-04-24T13:32:06.000Z

2022-03-29T07:01:36.000Z

src/pretix/api/oauth.py

fabm3n/pretix

520fb620888d5c434665a6a4a33cb2ab22dd42c7

2015-02-18T18:58:16.000Z

2022-03-31T11:12:32.000Z

src/pretix/api/oauth.py

fabm3n/pretix

520fb620888d5c434665a6a4a33cb2ab22dd42c7

2015-05-13T09:29:06.000Z

2022-03-24T13:39:16.000Z

# # This file is part of pretix (Community Edition). # # Copyright (C) 2014-2020 Raphael Michel and contributors # Copyright (C) 2020-2021 rami.io GmbH and contributors # # This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General # Public License as published by the Free Software Foundation in version 3 of the License. # # ADDITIONAL TERMS APPLY: Pursuant to Section 7 of the GNU Affero General Public License, additional terms are # applicable granting you additional permissions and placing additional restrictions on your usage of this software. # Please refer to the pretix LICENSE file to obtain the full terms applicable to this work. If you did not receive # this file, see <https://pretix.eu/about/en/license>. # # This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied # warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more # details. # # You should have received a copy of the GNU Affero General Public License along with this program. If not, see # <https://www.gnu.org/licenses/>. # from datetime import timedelta from django.utils import timezone from oauth2_provider.exceptions import FatalClientError from oauth2_provider.oauth2_validators import Grant, OAuth2Validator from oauth2_provider.settings import oauth2_settings class Validator(OAuth2Validator): def save_authorization_code(self, client_id, code, request, *args, **kwargs): if not getattr(request, 'organizers', None) and request.scopes != ['profile']: raise FatalClientError('No organizers selected.') expires = timezone.now() + timedelta( seconds=oauth2_settings.AUTHORIZATION_CODE_EXPIRE_SECONDS) g = Grant(application=request.client, user=request.user, code=code["code"], expires=expires, redirect_uri=request.redirect_uri, scope=" ".join(request.scopes)) g.save() if request.scopes != ['profile']: g.organizers.add(*request.organizers.all()) def validate_code(self, client_id, code, client, request, *args, **kwargs): try: grant = Grant.objects.get(code=code, application=client) if not grant.is_expired(): request.scopes = grant.scope.split(" ") request.user = grant.user request.organizers = grant.organizers.all() return True return False except Grant.DoesNotExist: return False def _create_access_token(self, expires, request, token, source_refresh_token=None): if not getattr(request, 'organizers', None) and not getattr(source_refresh_token, 'access_token', None) and token["scope"] != 'profile': raise FatalClientError('No organizers selected.') if token['scope'] != 'profile': if hasattr(request, 'organizers'): orgs = list(request.organizers.all()) else: orgs = list(source_refresh_token.access_token.organizers.all()) access_token = super()._create_access_token(expires, request, token, source_refresh_token=None) if token['scope'] != 'profile': access_token.organizers.add(*orgs) return access_token

26cec108104050942626e96ae3d987b94e1f759c

py

Python

videoSummarizer/tag_generation/test_pmi.py

talsperre/LectureSummarizer

4a0d5a51e80be77fb3715cb386a242871d5cf298

2020-09-20T19:37:26.000Z

2021-12-12T08:03:17.000Z

videoSummarizer/tag_generation/test_pmi.py

talsperre/LectureSummarizer

4a0d5a51e80be77fb3715cb386a242871d5cf298

2020-11-13T18:50:46.000Z

2022-03-02T14:53:59.000Z

videoSummarizer/tag_generation/test_pmi.py

talsperre/LectureSummarizer

4a0d5a51e80be77fb3715cb386a242871d5cf298

2021-03-23T11:32:43.000Z

2021-03-24T03:50:37.000Z

from TagGenerationPMI import TagGenrationPMI import sys with open(sys.argv[1], 'r') as file: data = file.read().replace('\n', '') data = data.split(' ') obj = TagGenrationPMI() bigrams, trigrams = obj.generate_tags(data) print("Bigrams are : {}".format(bigrams)) print("Trigrams are : {}".format(trigrams))

a62afd91d777a60b046261dbd2ce7f0f02512ab4

py

Python

aaem/components/annual_savings/annual_savings.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

2022-01-23T07:18:36.000Z

2022-01-23T07:18:36.000Z

aaem/components/annual_savings/annual_savings.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

2017-07-14T21:56:46.000Z

2017-07-14T21:59:15.000Z

aaem/components/annual_savings/annual_savings.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

2020-04-28T18:12:55.000Z

2021-01-13T01:56:57.000Z

""" annual_savings.py ross spicer created: 2015/09/16 this file is the representation of what is being calculated at the bottom of each of the spread sheet tabs. """ import numpy as np import os.path from abc import ABCMeta, abstractmethod from pandas import DataFrame class AnnualSavings (object): """ Abstract base class to use as base class for all model components that have the goal of generating an NPV benefit for the project """ __metaclass__ = ABCMeta def calc_annual_total_savings (self): """ calculate an array of annual savings values for the project pre: self.annual_electric_savings and self.annual_heating_savings need to be arrays of dollar values. post: annual_total_savings will be an array of dollar amounts. """ #~ print self.annual_electric_savings, self.annual_heating_savings self.annual_total_savings = self.annual_electric_savings + \ self.annual_heating_savings def calc_annual_costs (self, rate, cost_scaler = 1.0): """ calculate the cost of the project for each year. pre: rate should be an interest rate. self.project_life is the # of years project is active for self.capital_costs is the total cost of the project post: self.annual_costs will be a numpy array of dollar values indicating the cost of the project per year. """ rate = rate / 100.0 #~ print self.component_name, cost_scaler self.capital_costs *= cost_scaler cost_per_year = -np.pmt(rate, self.actual_project_life, self.capital_costs) cpi= self.forecast.cpi[:self.actual_project_life] self.annual_costs = cost_per_year * cpi# np.ones(self.actual_project_life) def calc_annual_net_benefit (self): """ calculate the yearly benefit of the project pre: annual_total_savings and annual_costs are arrays of the same length (project life) consisting of dollar values post: annual_net_benefit is an array of the annual monetary benefit over projects life time """ self.annual_net_benefit = self.annual_total_savings - self.annual_costs def calc_npv (self, rate, current_year): """ clacualte the NPV net benfit pre: rate: should be the savings rate self.annual_net_benefit is an array of the annual monetary benefit over projects life time post: self.net_npv, self.benefit_npv, slef.cost_npv is a dollar value self.benefit_cost_ratio is a ratio """ rate = rate / 100.0 # These need to be calculated for the actual project life end = self.actual_project_life # number of arrays as zero ($ value) until project start yts = []#np.zeros((self.start_year - current_year)+1) self.benefit_npv = np.npv(rate, np.append(yts, self.annual_total_savings[:end])) self.cost_npv = np.npv(rate, np.append(yts, self.annual_costs[:end])) self.benefit_cost_ratio = self.benefit_npv/self.cost_npv self.net_npv = np.npv(rate, np.append(yts, self.annual_net_benefit[:end])) def calc_cost_of_energy (self, fuel_amount, maintenance = 0): """ calculates the cost of energy pre: fuel_amount is a the amount of fuel generated, used or saved units may vary (i.e. kWh, gal..) per year scaler, list, or np.array maintenance is the operation and maintenance cost per year as a scaler, list, or np.array post: returns a price in $/[units of fuel_amount] """ yts = np.zeros((self.start_year - self.cd["current year"])+1) if not type(maintenance) in [list,np.ndarray]: maintenance = np.zeros(self.actual_project_life) + maintenance else: maintenance = maintenance[:self.actual_project_life] maintenance = np.array(maintenance) maintenance_npv = np.npv((self.cd['discount rate']/100.0), np.append(yts, maintenance)) if not type(fuel_amount) in [list,np.ndarray]: fuel_amount = np.zeros(self.actual_project_life) + fuel_amount else: fuel_amount = fuel_amount[:self.actual_project_life] fuel_npv = np.npv((self.cd['discount rate']/100.0), np.append(yts, fuel_amount)) return (self.cost_npv + maintenance_npv)/ fuel_npv def calc_levelized_costs (self, maintenance_costs): """ calculate the levelized costs pre: maintenance_costs is the operation and maintenance cost per year self.get_fuel_total_saved(), and self.get_total_energy_produced (), must exitst and return numbers representing fuel saved, anenergy produced or a dict with 'MMBtu' and 'kWh' as keys whose values are numbers post: self.break_even_cost is the break even cost in $/gal self.levelized_cost_of_energy is the LCOE in $/kWh for electricity projects, and $/MMBtu for heating projects for projectes with electricity efficciency and heating efficiency self.levelized_cost_of_energy is a dictonary wiht 'MMBtu' and 'kWh' as keys """ fuel_saved = self.get_fuel_total_saved() self.break_even_cost = \ self.calc_cost_of_energy(fuel_saved, maintenance_costs) energy_produced = self.get_total_energy_produced () if type(energy_produced) is dict: #~ print energy_produced['MMBtu'] self.levelized_cost_of_energy = {} self.levelized_cost_of_energy['MMBtu'] = \ self.calc_cost_of_energy(energy_produced['MMBtu'][0], maintenance_costs)*\ energy_produced['MMBtu'][1] self.levelized_cost_of_energy['kWh'] = \ self.calc_cost_of_energy(energy_produced['kWh'][0], maintenance_costs)*\ energy_produced['kWh'][1] else: self.levelized_cost_of_energy = \ self.calc_cost_of_energy(energy_produced, maintenance_costs) def calc_internal_rate_of_return (self): """ calculate the interal rate of return """ self.irr = 0 try: l = [-self.capital_costs] +\ self.annual_total_savings[:self.actual_project_life].tolist() self.irr = np.irr(l) except (AttributeError, ValueError, np.linalg.linalg.LinAlgError): pass def set_project_life_details (self, start_year,project_life): """ set the details for the project life time( pre: start_year is an int represnting a year projct life: is the number(int >0) of years (<= fc_period) fc_period: <int> length of forecast period post: self.start_year, and self.project_life are the input values and self.end_year would be the year the project ends. """ self.start_year = start_year #~ # do caclulations for whole forecast period & only save project life #~ self.project_life = fc_period #~ self.end_year = self.start_year + self.project_life # remember the actual lifetime self.actual_project_life = project_life self.project_life = project_life self.actual_end_year = self.start_year + project_life - 1 self.end_year = self.start_year + project_life - 1 def get_diesel_prices (self): """ get the diesel prices pre: community name should be in the community data. post: self.diesel prices has prices for the project life """ #~ prices = self.cd["diesel prices"] #~ self.diesel_prices = prices.get_projected_prices(self.start_year, #~ self.end_year) self.cd["diesel prices"].index = \ self.cd["diesel prices"].index.astype(int) self.cd["diesel prices"] = self.cd["diesel prices"].astype(float) self.diesel_prices = self.cd["diesel prices"].ix[self.start_year:] self.diesel_prices.columns = ['prices'] start, end = self.start_year, self.end_year existing_len = len(self.diesel_prices.ix[start:end]) extend_by = (end + 1) - start - existing_len if extend_by > 0: extend = DataFrame( index=range( self.diesel_prices.index[-1] + 1, self.diesel_prices.index[-1]+extend_by +1 ), columns=['prices']) extend['prices'] = self.diesel_prices.iloc[-1]['prices'] self.diesel_prices = \ DataFrame( self.diesel_prices.ix[start:end]['prices']).\ append(extend) else: # -1 to ensure same behavour self.diesel_prices = \ DataFrame(self.diesel_prices['prices'].ix[start:end]) self.diesel_prices = self.diesel_prices['prices'].values def get_electricity_prices (self): """ """ self.cd["electric prices"].index = \ self.cd["electric prices"].index.astype(int) self.cd["electric prices"] = \ self.cd["electric prices"].astype(float) prices = self.cd["electric prices"] self.electricity_prices = prices.ix[self.start_year:] self.cd["electric prices"].index = self.cd["electric prices"].index.astype(int) self.cd["electric prices"] = self.cd["electric prices"].astype(float) self.electricity_prices = self.cd["electric prices"].ix[self.start_year:] self.electricity_prices.columns = ['prices'] start, end = self.start_year, self.end_year existing_len = len(self.electricity_prices.ix[start:end]) extend_by = (end + 1) - start - existing_len if extend_by > 0: extend = DataFrame( index=range( self.electricity_prices.index[-1] +1 , self.electricity_prices.index[-1] + 1+extend_by ), columns=['prices']) extend['prices'] = self.electricity_prices.iloc[-1]['prices'] self.electricity_prices = \ DataFrame( self.electricity_prices.ix[start:end]['prices']).\ append(extend) else: # -1 to ensure same behavour self.electricity_prices = \ DataFrame(self.electricity_prices['prices'].ix[start:end]) self.electricity_prices = self.electricity_prices['prices'].values def save_additional_output(self, directory): """ """ pass @abstractmethod def calc_capital_costs (self): """ abstract function should be implemented by child class to calculate self.capital_costs (the cost of the project) a dollar value """ raise NotImplementedError, "should be implemented by child class to" +\ " calculate self.capital_costs(the cost of the project) a dollar value" @abstractmethod def calc_annual_electric_savings (self): """ abstract function should be implemented by child class to create self.annual_electric_savings as an np.array, length self.project_life, of dollar values(numbers)" """ raise NotImplementedError, "should be implemented by child class to" +\ " create self.annual_electric_savings as an np.array, length" +\ " self.project_life, of dollar values(numbers)" @abstractmethod def calc_annual_heating_savings (self): """ abstract function should be implemented by child class to create self.annual_heating_savings as an np.array, length self.project_life, of dollar values(numbers)" """ raise NotImplementedError, "should be implemented by child class to" +\ " create self.annual_heating_savings as an np.array, length" +\ " self.project_life, of dollar values(numbers)" @abstractmethod def run (self, scalers = {'capital costs':1.0}): """ abstract function should be implemented by child class to run component """ raise NotImplementedError, "should be implemented by child class to" +\ " run the component" ## helper def get_nan_range (self): """ gets an array of nan's for the project life time, the "get" functions defined here should return a array of nan's indicating that the value is not applicable to the component. If a "get" should do something else overload it in the component pre: self.lifetime > 0 post: returns array of nan's length self.lifetime """ return np.zeros(self.project_life)/0 ## Heating def get_base_HF_use (self): # ex: eff(res) G89-V89 """ returns HF use array (baseline) """ try: return self.baseline_HF_consumption except: return self.get_nan_range() def get_proposed_HF_use (self): # ex: eff(res) G81-V81 """ returns HF use array (proposed) """ try: return self.proposed_HF_consumption except: return self.get_nan_range() def get_base_HF_cost (self): # ex: eff(res) G93-V93 """ returns HF cost array (baseline) """ try: return self.baseline_HF_cost except: return self.get_nan_range() def get_proposed_HF_cost (self): # ex: eff(res) G86-V86 """ returns HF cost array (proposed) """ try: return self.proposed_HF_cost except: return self.get_nan_range() def get_fuel_price (self): # ex: eff(res) G84-V84 or G90-V90 """ get the diesel fuel price used""" try: ### TODO:CHANGE THIS TOO?? return self.diesel_prices except: return self.get_nan_range() ## Electric def get_base_kWh_use (self): # ex: eff(res) G89-V89 """ returns kWh use array (baseline) """ try: return self.baseline_kWh_consumption except: return self.get_nan_range() def get_proposed_kWh_use (self): # ex: eff(res) G73-V73 """ returns kWh use array (proposed) """ try: return self.proposed_kWh_consumption except: return self.get_nan_range() def get_base_kWh_cost (self): # ex: eff(res) G75-V75 """ returns kWh cost array (baseline) """ try: return self.baseline_kWh_cost except: return self.get_nan_range() def get_proposed_kWh_cost (self): # ex: eff(res) G70-V70 """ returns kWh cost array (proposed) """ try: return self.proposed_kWh_cost except: return self.get_nan_range() ## annual savings def get_electric_savings_costs (self): # ex: eff(res) G57-V57 or G75-V75 """ returns kWh savings array (base - proposed) """ try: return self.annual_electric_savings except: return self.get_nan_range() def get_heating_savings_costs (self): # ex: eff(res) G58-V58 or G94-V94 """ returns HF savings array (base - proposed) """ try: return self.annual_heating_savings except: return self.get_nan_range() def get_total_savings_costs (self): # ex: eff(res) G59-V59 """ returns total savings array """ try: return self.annual_total_savings except: return self.get_nan_range() def get_capital_costs (self): # ex: eff(res) G55-V55 """ return capital costs array """ try: return self.annual_costs except: return self.get_nan_range() def get_net_benefit (self): # ex: eff(res) G62-V62 """ return net benefit array """ try: return self.annual_net_benefit except: return self.get_nan_range() ## NPVs def get_NPV_benefits (self): # ex: eff(res) C13 """ return NPV benefits (float) """ try: return self.benefit_npv except AttributeError: return "N/A" def get_NPV_costs (self): # ex: eff(res) C14 """ return NPV costs (float) """ try: return self.cost_npv except AttributeError: return "N/A" def get_BC_ratio (self): # ex: eff(res) C15 """ return NPV benefit/cost ratio (float) """ try: return self.benefit_cost_ratio except AttributeError: return "N/A" def get_NPV_net_benefit (self): # ex: eff(res) C16 """ return NPV net benefit (float) """ try: return self.net_npv except AttributeError: return "N/A" ## save functions def save_csv_outputs (self, directory): """ save all csv outputs pre: directory should exist and be an absolute path post: electric,heating, and finical csv files are saved """ self.save_component_csv(directory) #~ self.save_electric_csv (directory) #~ self.save_heating_csv (directory) #~ if self.cd["model financial"]: #~ self.save_financial_csv (directory) def save_component_csv (self, directory): """ save the output from the component. """ if not self.was_run: return years = np.array(range(self.project_life)) + self.start_year df = DataFrame({ self.component_name + \ ": Heating Fuel Consumption Baseline (gallons/year)": self.get_base_HF_use(), self.component_name + \ ": Heating Fuel Consumption Proposed (gallons/year)": self.get_proposed_HF_use(), self.component_name + \ ": Heating Fuel Consumption Savings (gallons/year)": self.get_base_HF_use() -\ self.get_proposed_HF_use(), self.component_name + \ ": Heating Fuel Cost Baseline ($/year)": self.get_base_HF_cost(), self.component_name + \ ": Heating Fuel Cost Proposed ($/year)": self.get_proposed_HF_cost(), self.component_name + \ ": Heating Fuel Cost Savings ($/year)": self.get_heating_savings_costs(), self.component_name + \ ": Electricity Consumption Baseline (kWh/year)": self.get_base_kWh_use(), self.component_name + \ ": Electricity Consumption Proposed (kWh/year)": self.get_proposed_kWh_use(), self.component_name + \ ": Electricity Consumption Savings (kWh/year)": self.get_base_kWh_use() -\ self.get_proposed_kWh_use(), self.component_name + \ ": Electricity Cost Basline ($/year)": self.get_base_kWh_cost(), self.component_name + \ ": Electricity Cost Proposed ($/year)": self.get_proposed_kWh_cost(), self.component_name + \ ": Electricity Cost Savings ($/year)": self.get_electric_savings_costs(), self.component_name + \ ": Project Capital Cost ($/year)": self.get_capital_costs(), self.component_name + \ ": Total Cost Savings ($/year)": self.get_total_savings_costs(), self.component_name + \ ": Net Benefit ($/year)": self.get_net_benefit(), }, years) df["Community"] = self.cd['name'] ol = ["Community", self.component_name + \ ": Heating Fuel Consumption Baseline (gallons/year)", self.component_name + \ ": Heating Fuel Consumption Proposed (gallons/year)", self.component_name + \ ": Heating Fuel Consumption Savings (gallons/year)", self.component_name + ": Heating Fuel Cost Baseline ($/year)", self.component_name + ": Heating Fuel Cost Proposed ($/year)", self.component_name + ": Heating Fuel Cost Savings ($/year)", self.component_name + \ ": Electricity Consumption Baseline (kWh/year)", self.component_name + \ ": Electricity Consumption Proposed (kWh/year)", self.component_name + \ ": Electricity Consumption Savings (kWh/year)", self.component_name + ": Electricity Cost Basline ($/year)", self.component_name + ": Electricity Cost Proposed ($/year)", self.component_name + ": Electricity Cost Savings ($/year)", self.component_name + ": Project Capital Cost ($/year)", self.component_name + ": Total Cost Savings ($/year)", self.component_name + ": Net Benefit ($/year)"] fname = os.path.join(directory, self.cd['name'] + '_' +\ self.component_name.lower().replace(' ','_').\ replace('&','and') +\ "_output.csv") fname = fname.replace(" ","_") # save to end of project(actual lifetime) df[ol].ix[:self.actual_end_year].to_csv(fname, index_label="Year")

b6eca889b97e1ea666446d3fabab81ba29c6ee01

py

Python

5.analysis/logistic_classification.py

fullmooncj/textmining_edu

b1402fd96fbde945f48c52d71ba4dfe51fd96602

5.analysis/logistic_classification.py

fullmooncj/textmining_edu

b1402fd96fbde945f48c52d71ba4dfe51fd96602

5.analysis/logistic_classification.py

fullmooncj/textmining_edu

b1402fd96fbde945f48c52d71ba4dfe51fd96602

from __future__ import print_function import numpy as np import tensorflow as tf xy = np.loadtxt('news.target', unpack=True, dtype='float32') x_data = np.transpose(xy[0:20]) y_data = np.transpose(xy[20:]) X = tf.placeholder("float", [None, 20]) Y = tf.placeholder("float", [None, 7]) W = tf.Variable(tf.zeros([20, 7])) # matrix shape X=[8, 3], W=[3, 3] hypothesis = tf.nn.softmax(tf.matmul(X, W)) learning_rate = 0.001 cost = tf.reduce_mean(-tf.reduce_sum(Y * tf.log(hypothesis), reduction_indices=1)) optimizer = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost) init = tf.global_variables_initializer() with tf.Session() as sess: sess.run(init) for step in range(2001): sess.run(optimizer, feed_dict={X: x_data, Y: y_data}) if step % 200 == 0: print(step, sess.run(cost, feed_dict={X: x_data, Y: y_data}), sess.run(W)) print('--------------------') print('global') a = sess.run(hypothesis, feed_dict={X: [[0.005917159763313609, 0.0, 0.011834319526627219, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005917159763313609, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005917159763313609, 0.0, 0.0, 0.005917159763313609, 0.0]]}) print(a, sess.run(tf.argmax(a, 1))) print('social') b = sess.run(hypothesis, feed_dict={X: [[0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.0, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666, 0.016666666666666666]]}) print(b, sess.run(tf.argmax(b, 1))) print('politics') c = sess.run(hypothesis, feed_dict={X: [[0.045454545454545456, 0.045454545454545456, 0.0, 0.045454545454545456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045454545454545456, 0.0, 0.0, 0.0, 0.045454545454545456, 0.0, 0.0, 0.0, 0.045454545454545456, 0.045454545454545456, 0.0]]}) print(c, sess.run(tf.argmax(c, 1))) #all = sess.run(hypothesis, feed_dict={X: [[1, 11, 7], [1, 3, 4], [1, 1, 0]]}) #print(all, sess.run(tf.argmax(all, 1)))

28b8091855c00d8088e53caba2b1c7b3d9d612cd

py

Python

tests/test_datasets.py

ckkelvinchan/mmediting

73ab4347380f8022b7dde6be65cecf910cbdfbd0

2021-04-20T11:31:37.000Z

2021-05-27T13:04:40.000Z

tests/test_datasets.py

ckkelvinchan/mmediting

73ab4347380f8022b7dde6be65cecf910cbdfbd0

tests/test_datasets.py

ckkelvinchan/mmediting

73ab4347380f8022b7dde6be65cecf910cbdfbd0

2021-04-22T12:10:14.000Z

2021-05-19T02:09:48.000Z

import os.path as osp from pathlib import Path from unittest.mock import patch import numpy as np import pytest from torch.utils.data import Dataset # yapf: disable from mmedit.datasets import (AdobeComp1kDataset, BaseGenerationDataset, BaseSRDataset, GenerationPairedDataset, GenerationUnpairedDataset, RepeatDataset, SRAnnotationDataset, SRFolderDataset, SRFolderGTDataset, SRFolderRefDataset, SRLmdbDataset, SRREDSDataset, SRREDSMultipleGTDataset, SRTestMultipleGTDataset, SRVid4Dataset, SRVimeo90KDataset, SRVimeo90KMultipleGTDataset) # yapf: enable def mock_open(*args, **kwargs): """unittest.mock_open wrapper. unittest.mock_open doesn't support iteration. Wrap it to fix this bug. Reference: https://stackoverflow.com/a/41656192 """ import unittest f_open = unittest.mock.mock_open(*args, **kwargs) f_open.return_value.__iter__ = lambda self: iter(self.readline, '') return f_open def check_keys_contain(result_keys, target_keys): """Check if all elements in target_keys is in result_keys.""" return set(target_keys).issubset(set(result_keys)) class TestMattingDatasets: @classmethod def setup_class(cls): # create para for creating a dataset. cls.data_prefix = Path(__file__).parent / 'data' cls.ann_file = osp.join(cls.data_prefix, 'test_list.json') cls.pipeline = [ dict(type='LoadImageFromFile', key='alpha', flag='grayscale') ] def test_comp1k_dataset(self): comp1k_dataset = AdobeComp1kDataset(self.ann_file, self.pipeline, self.data_prefix) first_data = comp1k_dataset[0] assert 'alpha' in first_data assert isinstance(first_data['alpha'], np.ndarray) assert first_data['alpha'].shape == (552, 800) def test_comp1k_evaluate(self): comp1k_dataset = AdobeComp1kDataset(self.ann_file, self.pipeline, self.data_prefix) with pytest.raises(TypeError): comp1k_dataset.evaluate('Not a list object') results = [{ 'pred_alpha': None, 'eval_result': { 'SAD': 26, 'MSE': 0.006 } }, { 'pred_alpha': None, 'eval_result': { 'SAD': 24, 'MSE': 0.004 } }] eval_result = comp1k_dataset.evaluate(results) assert set(eval_result.keys()) == set(['SAD', 'MSE']) assert eval_result['SAD'] == 25 assert eval_result['MSE'] == 0.005 class TestSRDatasets: @classmethod def setup_class(cls): cls.data_prefix = Path(__file__).parent / 'data' def test_base_super_resolution_dataset(self): class ToyDataset(BaseSRDataset): """Toy dataset for testing SRDataset.""" def __init__(self, pipeline, test_mode=False): super().__init__(pipeline, test_mode) def load_annotations(self): pass def __len__(self): return 2 toy_dataset = ToyDataset(pipeline=[]) file_paths = ['gt/baboon.png', 'lq/baboon_x4.png'] file_paths = [str(self.data_prefix / v) for v in file_paths] result = toy_dataset.scan_folder(self.data_prefix) assert check_keys_contain(result, file_paths) result = toy_dataset.scan_folder(str(self.data_prefix)) assert check_keys_contain(result, file_paths) with pytest.raises(TypeError): toy_dataset.scan_folder(123) # test evaluate function results = [{ 'eval_result': { 'PSNR': 20, 'SSIM': 0.6 } }, { 'eval_result': { 'PSNR': 30, 'SSIM': 0.8 } }] with pytest.raises(TypeError): # results must be a list toy_dataset.evaluate(results=5) with pytest.raises(AssertionError): # The length of results should be equal to the dataset len toy_dataset.evaluate(results=[results[0]]) eval_results = toy_dataset.evaluate(results=results) assert eval_results == {'PSNR': 25, 'SSIM': 0.7} with pytest.raises(AssertionError): results = [{ 'eval_result': { 'PSNR': 20, 'SSIM': 0.6 } }, { 'eval_result': { 'PSNR': 30 } }] # Length of evaluation result should be the same as the dataset len toy_dataset.evaluate(results=results) def test_sr_annotation_dataset(self): # setup anno_file_path = self.data_prefix / 'train.txt' sr_pipeline = [ dict(type='LoadImageFromFile', io_backend='disk', key='lq'), dict(type='LoadImageFromFile', io_backend='disk', key='gt'), dict(type='PairedRandomCrop', gt_patch_size=128), dict(type='ImageToTensor', keys=['lq', 'gt']) ] target_keys = [ 'lq_path', 'gt_path', 'scale', 'lq', 'lq_ori_shape', 'gt', 'gt_ori_shape' ] # input path is Path object sr_annotation_dataset = SRAnnotationDataset( lq_folder=self.data_prefix / 'lq', gt_folder=self.data_prefix / 'gt', ann_file=anno_file_path, pipeline=sr_pipeline, scale=4, filename_tmpl='{}_x4') data_infos = sr_annotation_dataset.data_infos assert data_infos == [ dict( lq_path=str(self.data_prefix / 'lq' / 'baboon_x4.png'), gt_path=str(self.data_prefix / 'gt' / 'baboon.png')) ] result = sr_annotation_dataset[0] assert (len(sr_annotation_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) # input path is str sr_annotation_dataset = SRAnnotationDataset( lq_folder=str(self.data_prefix / 'lq'), gt_folder=str(self.data_prefix / 'gt'), ann_file=str(anno_file_path), pipeline=sr_pipeline, scale=4, filename_tmpl='{}_x4') data_infos = sr_annotation_dataset.data_infos assert data_infos == [ dict( lq_path=str(self.data_prefix / 'lq' / 'baboon_x4.png'), gt_path=str(self.data_prefix / 'gt' / 'baboon.png')) ] result = sr_annotation_dataset[0] assert (len(sr_annotation_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) def test_sr_folder_dataset(self): # setup sr_pipeline = [ dict(type='LoadImageFromFile', io_backend='disk', key='lq'), dict(type='LoadImageFromFile', io_backend='disk', key='gt'), dict(type='PairedRandomCrop', gt_patch_size=128), dict(type='ImageToTensor', keys=['lq', 'gt']) ] target_keys = ['lq_path', 'gt_path', 'scale', 'lq', 'gt'] lq_folder = self.data_prefix / 'lq' gt_folder = self.data_prefix / 'gt' filename_tmpl = '{}_x4' # input path is Path object sr_folder_dataset = SRFolderDataset( lq_folder=lq_folder, gt_folder=gt_folder, pipeline=sr_pipeline, scale=4, filename_tmpl=filename_tmpl) data_infos = sr_folder_dataset.data_infos assert data_infos == [ dict( lq_path=str(lq_folder / 'baboon_x4.png'), gt_path=str(gt_folder / 'baboon.png')) ] result = sr_folder_dataset[0] assert (len(sr_folder_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) # input path is str sr_folder_dataset = SRFolderDataset( lq_folder=str(lq_folder), gt_folder=str(gt_folder), pipeline=sr_pipeline, scale=4, filename_tmpl=filename_tmpl) data_infos = sr_folder_dataset.data_infos assert data_infos == [ dict( lq_path=str(lq_folder / 'baboon_x4.png'), gt_path=str(gt_folder / 'baboon.png')) ] result = sr_folder_dataset[0] assert (len(sr_folder_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) def test_sr_folder_gt_dataset(self): # setup sr_pipeline = [ dict(type='LoadImageFromFile', io_backend='disk', key='gt'), dict(type='ImageToTensor', keys=['gt']) ] target_keys = ['gt_path', 'gt'] gt_folder = self.data_prefix / 'gt' filename_tmpl = '{}_x4' # input path is Path object sr_folder_dataset = SRFolderGTDataset( gt_folder=gt_folder, pipeline=sr_pipeline, scale=4, filename_tmpl=filename_tmpl) data_infos = sr_folder_dataset.data_infos assert data_infos == [dict(gt_path=str(gt_folder / 'baboon.png'))] result = sr_folder_dataset[0] assert (len(sr_folder_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) # input path is str sr_folder_dataset = SRFolderGTDataset( gt_folder=str(gt_folder), pipeline=sr_pipeline, scale=4, filename_tmpl=filename_tmpl) data_infos = sr_folder_dataset.data_infos assert data_infos == [dict(gt_path=str(gt_folder / 'baboon.png'))] result = sr_folder_dataset[0] assert (len(sr_folder_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) def test_sr_folder_ref_dataset(self): # setup sr_pipeline = [ dict(type='LoadImageFromFile', io_backend='disk', key='lq'), dict(type='LoadImageFromFile', io_backend='disk', key='gt'), dict(type='LoadImageFromFile', io_backend='disk', key='ref'), dict(type='PairedRandomCrop', gt_patch_size=128), dict(type='ImageToTensor', keys=['lq', 'gt', 'ref']) ] target_keys = [ 'lq_path', 'gt_path', 'ref_path', 'scale', 'lq', 'gt', 'ref' ] lq_folder = self.data_prefix / 'lq' gt_folder = self.data_prefix / 'gt' ref_folder = self.data_prefix / 'gt' filename_tmpl = '{}_x4' # input path is Path object sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=lq_folder, gt_folder=gt_folder, ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) data_infos = sr_folder_ref_dataset.data_infos assert data_infos == [ dict( lq_path=str(lq_folder / 'baboon_x4.png'), gt_path=str(gt_folder / 'baboon.png'), ref_path=str(ref_folder / 'baboon.png')) ] result = sr_folder_ref_dataset[0] assert len(sr_folder_ref_dataset) == 1 assert check_keys_contain(result.keys(), target_keys) # input path is str sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=str(lq_folder), gt_folder=str(gt_folder), ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) data_infos = sr_folder_ref_dataset.data_infos assert data_infos == [ dict( lq_path=str(lq_folder / 'baboon_x4.png'), gt_path=str(gt_folder / 'baboon.png'), ref_path=str(ref_folder / 'baboon.png')) ] result = sr_folder_ref_dataset[0] assert len(sr_folder_ref_dataset) == 1 assert check_keys_contain(result.keys(), target_keys) with pytest.raises(AssertionError): sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=str(lq_folder), gt_folder=str(self.data_prefix / 'image'), # fake gt_folder ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) with pytest.raises(AssertionError): sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=str(self.data_prefix / 'image'), # fake lq_folder gt_folder=str(gt_folder), ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) with pytest.raises(AssertionError): sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=str(lq_folder), gt_folder=str(self.data_prefix / 'bg'), # fake gt_folder ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) with pytest.raises(AssertionError): sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=str(self.data_prefix / 'bg'), # fake lq_folder gt_folder=str(gt_folder), ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) with pytest.raises(AssertionError): sr_folder_ref_dataset = SRFolderRefDataset( lq_folder=None, gt_folder=None, ref_folder=str(ref_folder), pipeline=sr_pipeline, scale=4, filename_tmpl_lq=filename_tmpl) def test_sr_lmdb_dataset(self): # setup lq_lmdb_folder = self.data_prefix / 'lq.lmdb' sr_pipeline = [ dict( type='LoadImageFromFile', io_backend='lmdb', key='lq', db_path=lq_lmdb_folder), dict( type='LoadImageFromFile', io_backend='lmdb', key='gt', db_path=lq_lmdb_folder), dict(type='ImageToTensor', keys=['lq', 'gt']) ] target_keys = [ 'lq_path', 'gt_path', 'scale', 'lq', 'lq_ori_shape', 'gt', 'gt_ori_shape' ] # input path is Path object sr_lmdb_dataset = SRLmdbDataset( lq_folder=lq_lmdb_folder, gt_folder=lq_lmdb_folder, # fake gt_folder pipeline=sr_pipeline, scale=1) data_infos = sr_lmdb_dataset.data_infos assert data_infos == [dict(lq_path='baboon', gt_path='baboon')] result = sr_lmdb_dataset[0] assert (len(sr_lmdb_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) # input path is str sr_lmdb_dataset = SRLmdbDataset( lq_folder=str(lq_lmdb_folder), gt_folder=(lq_lmdb_folder), # fake gt_folder pipeline=sr_pipeline, scale=1) data_infos = sr_lmdb_dataset.data_infos assert data_infos == [dict(lq_path='baboon', gt_path='baboon')] result = sr_lmdb_dataset[0] assert (len(sr_lmdb_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) with pytest.raises(ValueError): sr_lmdb_dataset = SRLmdbDataset( lq_folder=self.data_prefix, # normal folder gt_folder=lq_lmdb_folder, # fake gt_folder pipeline=sr_pipeline, scale=1) with pytest.raises(ValueError): sr_lmdb_dataset = SRLmdbDataset( lq_folder=str(self.data_prefix), # normal folder gt_folder=lq_lmdb_folder, # fake gt_folder pipeline=sr_pipeline, scale=1) with pytest.raises(ValueError): sr_lmdb_dataset = SRLmdbDataset( lq_folder=lq_lmdb_folder, gt_folder=self.data_prefix, # normal folder pipeline=sr_pipeline, scale=1) with pytest.raises(ValueError): sr_lmdb_dataset = SRLmdbDataset( lq_folder=lq_lmdb_folder, gt_folder=str(self.data_prefix), # normal folder pipeline=sr_pipeline, scale=1) class TestGenerationDatasets: @classmethod def setup_class(cls): cls.data_prefix = Path(__file__).parent / 'data' def test_base_generation_dataset(self): class ToyDataset(BaseGenerationDataset): """Toy dataset for testing Generation Dataset.""" def load_annotations(self): pass toy_dataset = ToyDataset(pipeline=[]) file_paths = [ 'paired/test/3.jpg', 'paired/train/1.jpg', 'paired/train/2.jpg' ] file_paths = [str(self.data_prefix / v) for v in file_paths] # test scan_folder result = toy_dataset.scan_folder(self.data_prefix) assert check_keys_contain(result, file_paths) result = toy_dataset.scan_folder(str(self.data_prefix)) assert check_keys_contain(result, file_paths) with pytest.raises(TypeError): toy_dataset.scan_folder(123) # test evaluate toy_dataset.data_infos = file_paths with pytest.raises(TypeError): _ = toy_dataset.evaluate(1) test_results = [dict(saved_flag=True), dict(saved_flag=True)] with pytest.raises(AssertionError): _ = toy_dataset.evaluate(test_results) test_results = [ dict(saved_flag=True), dict(saved_flag=True), dict(saved_flag=False) ] eval_results = toy_dataset.evaluate(test_results) assert eval_results['val_saved_number'] == 2 def test_generation_paired_dataset(self): # setup img_norm_cfg = dict(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) pipeline = [ dict( type='LoadPairedImageFromFile', io_backend='disk', key='pair', flag='color'), dict( type='Resize', keys=['img_a', 'img_b'], scale=(286, 286), interpolation='bicubic'), dict( type='FixedCrop', keys=['img_a', 'img_b'], crop_size=(256, 256)), dict(type='Flip', keys=['img_a', 'img_b'], direction='horizontal'), dict(type='RescaleToZeroOne', keys=['img_a', 'img_b']), dict( type='Normalize', keys=['img_a', 'img_b'], to_rgb=True, **img_norm_cfg), dict(type='ImageToTensor', keys=['img_a', 'img_b']), dict( type='Collect', keys=['img_a', 'img_b'], meta_keys=['img_a_path', 'img_b_path']) ] target_keys = ['img_a', 'img_b', 'meta'] target_meta_keys = ['img_a_path', 'img_b_path'] pair_folder = self.data_prefix / 'paired' # input path is Path object generation_paried_dataset = GenerationPairedDataset( dataroot=pair_folder, pipeline=pipeline, test_mode=True) data_infos = generation_paried_dataset.data_infos assert data_infos == [ dict(pair_path=str(pair_folder / 'test' / '3.jpg')) ] result = generation_paried_dataset[0] assert (len(generation_paried_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(pair_folder / 'test' / '3.jpg')) assert (result['meta'].data['img_b_path'] == str(pair_folder / 'test' / '3.jpg')) # input path is str generation_paried_dataset = GenerationPairedDataset( dataroot=str(pair_folder), pipeline=pipeline, test_mode=True) data_infos = generation_paried_dataset.data_infos assert data_infos == [ dict(pair_path=str(pair_folder / 'test' / '3.jpg')) ] result = generation_paried_dataset[0] assert (len(generation_paried_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(pair_folder / 'test' / '3.jpg')) assert (result['meta'].data['img_b_path'] == str(pair_folder / 'test' / '3.jpg')) # test_mode = False generation_paried_dataset = GenerationPairedDataset( dataroot=str(pair_folder), pipeline=pipeline, test_mode=False) data_infos = generation_paried_dataset.data_infos assert data_infos == [ dict(pair_path=str(pair_folder / 'train' / '1.jpg')), dict(pair_path=str(pair_folder / 'train' / '2.jpg')) ] assert (len(generation_paried_dataset) == 2) result = generation_paried_dataset[0] assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(pair_folder / 'train' / '1.jpg')) assert (result['meta'].data['img_b_path'] == str(pair_folder / 'train' / '1.jpg')) result = generation_paried_dataset[1] assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(pair_folder / 'train' / '2.jpg')) assert (result['meta'].data['img_b_path'] == str(pair_folder / 'train' / '2.jpg')) def test_generation_unpaired_dataset(self): # setup img_norm_cfg = dict(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) pipeline = [ dict( type='LoadImageFromFile', io_backend='disk', key='img_a', flag='color'), dict( type='LoadImageFromFile', io_backend='disk', key='img_b', flag='color'), dict( type='Resize', keys=['img_a', 'img_b'], scale=(286, 286), interpolation='bicubic'), dict( type='Crop', keys=['img_a', 'img_b'], crop_size=(256, 256), random_crop=True), dict(type='Flip', keys=['img_a'], direction='horizontal'), dict(type='Flip', keys=['img_b'], direction='horizontal'), dict(type='RescaleToZeroOne', keys=['img_a', 'img_b']), dict( type='Normalize', keys=['img_a', 'img_b'], to_rgb=True, **img_norm_cfg), dict(type='ImageToTensor', keys=['img_a', 'img_b']), dict( type='Collect', keys=['img_a', 'img_b'], meta_keys=['img_a_path', 'img_b_path']) ] target_keys = ['img_a', 'img_b', 'meta'] target_meta_keys = ['img_a_path', 'img_b_path'] unpair_folder = self.data_prefix / 'unpaired' # input path is Path object generation_unpaired_dataset = GenerationUnpairedDataset( dataroot=unpair_folder, pipeline=pipeline, test_mode=True) data_infos_a = generation_unpaired_dataset.data_infos_a data_infos_b = generation_unpaired_dataset.data_infos_b assert data_infos_a == [ dict(path=str(unpair_folder / 'testA' / '5.jpg')) ] assert data_infos_b == [ dict(path=str(unpair_folder / 'testB' / '6.jpg')) ] result = generation_unpaired_dataset[0] assert (len(generation_unpaired_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(unpair_folder / 'testA' / '5.jpg')) assert (result['meta'].data['img_b_path'] == str(unpair_folder / 'testB' / '6.jpg')) # input path is str generation_unpaired_dataset = GenerationUnpairedDataset( dataroot=str(unpair_folder), pipeline=pipeline, test_mode=True) data_infos_a = generation_unpaired_dataset.data_infos_a data_infos_b = generation_unpaired_dataset.data_infos_b assert data_infos_a == [ dict(path=str(unpair_folder / 'testA' / '5.jpg')) ] assert data_infos_b == [ dict(path=str(unpair_folder / 'testB' / '6.jpg')) ] result = generation_unpaired_dataset[0] assert (len(generation_unpaired_dataset) == 1) assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(unpair_folder / 'testA' / '5.jpg')) assert (result['meta'].data['img_b_path'] == str(unpair_folder / 'testB' / '6.jpg')) # test_mode = False generation_unpaired_dataset = GenerationUnpairedDataset( dataroot=str(unpair_folder), pipeline=pipeline, test_mode=False) data_infos_a = generation_unpaired_dataset.data_infos_a data_infos_b = generation_unpaired_dataset.data_infos_b assert data_infos_a == [ dict(path=str(unpair_folder / 'trainA' / '1.jpg')), dict(path=str(unpair_folder / 'trainA' / '2.jpg')) ] assert data_infos_b == [ dict(path=str(unpair_folder / 'trainB' / '3.jpg')), dict(path=str(unpair_folder / 'trainB' / '4.jpg')) ] assert (len(generation_unpaired_dataset) == 2) img_b_paths = [ str(unpair_folder / 'trainB' / '3.jpg'), str(unpair_folder / 'trainB' / '4.jpg') ] result = generation_unpaired_dataset[0] assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(unpair_folder / 'trainA' / '1.jpg')) assert result['meta'].data['img_b_path'] in img_b_paths result = generation_unpaired_dataset[1] assert check_keys_contain(result.keys(), target_keys) assert check_keys_contain(result['meta'].data.keys(), target_meta_keys) assert (result['meta'].data['img_a_path'] == str(unpair_folder / 'trainA' / '2.jpg')) assert result['meta'].data['img_b_path'] in img_b_paths def test_repeat_dataset(): class ToyDataset(Dataset): def __init__(self): super().__init__() self.members = [1, 2, 3, 4, 5] def __len__(self): return len(self.members) def __getitem__(self, idx): return self.members[idx % 5] toy_dataset = ToyDataset() repeat_dataset = RepeatDataset(toy_dataset, 2) assert len(repeat_dataset) == 10 assert repeat_dataset[2] == 3 assert repeat_dataset[8] == 4 def test_reds_dataset(): root_path = Path(__file__).parent / 'data' txt_content = ('000/00000001.png (720, 1280, 3)\n' '001/00000001.png (720, 1280, 3)\n' '250/00000001.png (720, 1280, 3)\n') mocked_open_function = mock_open(read_data=txt_content) with patch('builtins.open', mocked_open_function): # official val partition reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, val_partition='official', test_mode=False) assert reds_dataset.data_infos == [ dict( lq_path=str(root_path), gt_path=str(root_path), key='000/00000001', max_frame_num=100, num_input_frames=5), dict( lq_path=str(root_path), gt_path=str(root_path), key='001/00000001', max_frame_num=100, num_input_frames=5) ] # REDS4 val partition reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, val_partition='REDS4', test_mode=False) assert reds_dataset.data_infos == [ dict( lq_path=str(root_path), gt_path=str(root_path), key='001/00000001', max_frame_num=100, num_input_frames=5), dict( lq_path=str(root_path), gt_path=str(root_path), key='250/00000001', max_frame_num=100, num_input_frames=5) ] with pytest.raises(ValueError): # wrong val_partitaion reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, val_partition='wrong_val_partition', test_mode=False) with pytest.raises(AssertionError): # num_input_frames should be odd numbers reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=6, pipeline=[], scale=4, val_partition='wrong_val_partition', test_mode=False) # test mode # official val partition reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, val_partition='official', test_mode=True) assert reds_dataset.data_infos == [ dict( lq_path=str(root_path), gt_path=str(root_path), key='250/00000001', max_frame_num=100, num_input_frames=5) ] # REDS4 val partition reds_dataset = SRREDSDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, val_partition='REDS4', test_mode=True) assert reds_dataset.data_infos == [ dict( lq_path=str(root_path), gt_path=str(root_path), key='000/00000001', max_frame_num=100, num_input_frames=5) ] def test_vimeo90k_dataset(): root_path = Path(__file__).parent / 'data' txt_content = ('00001/0266 (256, 448, 3)\n00002/0268 (256, 448, 3)\n') mocked_open_function = mock_open(read_data=txt_content) lq_paths_1 = [ str(root_path / '00001' / '0266' / f'im{v}.png') for v in range(1, 8) ] gt_paths_1 = [str(root_path / '00001' / '0266' / 'im4.png')] lq_paths_2 = [ str(root_path / '00002' / '0268' / f'im{v}.png') for v in range(1, 8) ] gt_paths_2 = [str(root_path / '00002' / '0268' / 'im4.png')] with patch('builtins.open', mocked_open_function): vimeo90k_dataset = SRVimeo90KDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=7, pipeline=[], scale=4, test_mode=False) assert vimeo90k_dataset.data_infos == [ dict(lq_path=lq_paths_1, gt_path=gt_paths_1, key='00001/0266'), dict(lq_path=lq_paths_2, gt_path=gt_paths_2, key='00002/0268') ] with pytest.raises(AssertionError): # num_input_frames should be odd numbers vimeo90k_dataset = SRVimeo90KDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=6, pipeline=[], scale=4, test_mode=False) def test_vid4_dataset(): root_path = Path(__file__).parent / 'data' txt_content = ('calendar 1 (320,480,3)\ncity 2 (320,480,3)\n') mocked_open_function = mock_open(read_data=txt_content) with patch('builtins.open', mocked_open_function): vid4_dataset = SRVid4Dataset( lq_folder=root_path / 'lq', gt_folder=root_path / 'gt', ann_file='fake_ann_file', num_input_frames=5, pipeline=[], scale=4, test_mode=False, metric_average_mode='clip', filename_tmpl='{:08d}') assert vid4_dataset.data_infos == [ dict( lq_path=str(root_path / 'lq'), gt_path=str(root_path / 'gt'), key='calendar/00000000', num_input_frames=5, max_frame_num=1), dict( lq_path=str(root_path / 'lq'), gt_path=str(root_path / 'gt'), key='city/00000000', num_input_frames=5, max_frame_num=2), dict( lq_path=str(root_path / 'lq'), gt_path=str(root_path / 'gt'), key='city/00000001', num_input_frames=5, max_frame_num=2), ] with pytest.raises(AssertionError): # num_input_frames should be odd numbers SRVid4Dataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=6, pipeline=[], scale=4, test_mode=False) with pytest.raises(ValueError): # metric_average_mode can only be either 'clip' or 'all' SRVid4Dataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', num_input_frames=6, pipeline=[], scale=4, metric_average_mode='abc', test_mode=False) def test_sr_reds_multiple_gt_dataset(): root_path = Path(__file__).parent / 'data' # official val partition reds_dataset = SRREDSMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, num_input_frames=15, pipeline=[], scale=4, val_partition='official', test_mode=False) assert len(reds_dataset.data_infos) == 240 # 240 training clips assert reds_dataset.data_infos[0] == dict( lq_path=str(root_path), gt_path=str(root_path), key='000', sequence_length=100, num_input_frames=15) # REDS4 val partition reds_dataset = SRREDSMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, num_input_frames=20, pipeline=[], scale=4, val_partition='REDS4', test_mode=False) assert len(reds_dataset.data_infos) == 266 # 266 training clips assert reds_dataset.data_infos[0] == dict( lq_path=str(root_path), gt_path=str(root_path), key='001', sequence_length=100, num_input_frames=20) # 000 is been removed with pytest.raises(ValueError): # wrong val_partitaion reds_dataset = SRREDSMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, num_input_frames=5, pipeline=[], scale=4, val_partition='wrong_val_partition', test_mode=False) # test mode # official val partition reds_dataset = SRREDSMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, num_input_frames=5, pipeline=[], scale=4, val_partition='official', test_mode=True) assert len(reds_dataset.data_infos) == 30 # 30 test clips assert reds_dataset.data_infos[0] == dict( lq_path=str(root_path), gt_path=str(root_path), key='240', sequence_length=100, num_input_frames=5) # REDS4 val partition reds_dataset = SRREDSMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, num_input_frames=5, pipeline=[], scale=4, val_partition='REDS4', test_mode=True) assert len(reds_dataset.data_infos) == 4 # 4 test clips assert reds_dataset.data_infos[1] == dict( lq_path=str(root_path), gt_path=str(root_path), key='011', sequence_length=100, num_input_frames=5) def test_sr_vimeo90k_mutiple_gt_dataset(): root_path = Path(__file__).parent / 'data/vimeo90k' txt_content = ('00001/0266 (256,448,3)\n') mocked_open_function = mock_open(read_data=txt_content) lq_paths = [ str(root_path / '00001' / '0266' / f'im{v}.png') for v in range(1, 8) ] gt_paths = [ str(root_path / '00001' / '0266' / f'im{v}.png') for v in range(1, 8) ] with patch('builtins.open', mocked_open_function): vimeo90k_dataset = SRVimeo90KMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, ann_file='fake_ann_file', pipeline=[], scale=4, test_mode=False) assert vimeo90k_dataset.data_infos == [ dict(lq_path=lq_paths, gt_path=gt_paths, key='00001/0266') ] def test_sr_test_multiple_gt_dataset(): root_path = Path(__file__).parent / 'data/test_multiple_gt' test_dataset = SRTestMultipleGTDataset( lq_folder=root_path, gt_folder=root_path, pipeline=[], scale=4, test_mode=True) assert test_dataset.data_infos == [ dict( lq_path=str(root_path), gt_path=str(root_path), key='sequence_1', sequence_length=2), dict( lq_path=str(root_path), gt_path=str(root_path), key='sequence_2', sequence_length=1) ]

47af018e313c42d52665b96fb869f829aa6c5194

py

Python

ginipaybusiness/src/doc/source/conf.py

gini/gini-health-sdk-android

09361d0f1ead21d821992e31943477af138c6d62

ginipaybusiness/src/doc/source/conf.py

gini/gini-health-sdk-android

09361d0f1ead21d821992e31943477af138c6d62

ginipaybusiness/src/doc/source/conf.py

gini/gini-health-sdk-android

09361d0f1ead21d821992e31943477af138c6d62

# -*- coding: utf-8 -*- # # Gini API documentation build configuration file, created by # sphinx-quickstart on Thu Jan 23 17:02:36 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os import gini_sphinx_theme # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = ['sphinx.ext.todo'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'Gini Health SDK for Android' copyright = u'2014-2021, Gini GmbH' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. #version = '2.0' # The full version, including alpha/beta/rc tags. #release = '2.0' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [] # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'gini_sphinx_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. html_theme_options = { "google_analytics_id": os.environ.get("GOOGLE_ANALYTICS_ID"), "logo_path": "_static/logo_flat.png" } # Add any paths that contain custom themes here, relative to this directory. html_theme_path = [gini_sphinx_theme.get_html_theme_path()] # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. #html_extra_path = [] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. html_sidebars = { '**': ['localtoc.html', 'searchbox.html'] } # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. html_use_index = False # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. html_show_sourcelink = False # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. html_show_copyright = False # If true, an OpenSearch description file will be output, and all pages will # contain a <link> tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'GiniAPIdoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ ('index', 'GiniAPI.tex', u'Gini API Documentation', u'Gini', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'giniapi', u'Gini API Documentation', [u'Gini'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'GiniAPI', u'Gini API Documentation', u'Gini', 'GiniAPI', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False todo_include_todos = os.environ.get("TODO", "1") == "1"

2c9a21427f66d749c15c14426cd3660d34d1c28f

py

Python

tests/testapp/tests/factories.py

joshuajonah/feincms-elephantblog

57a1d60ffa72d7678e6d9f1ceb0ad31b9a44fcff

tests/testapp/tests/factories.py

joshuajonah/feincms-elephantblog

57a1d60ffa72d7678e6d9f1ceb0ad31b9a44fcff

tests/testapp/tests/factories.py

joshuajonah/feincms-elephantblog

57a1d60ffa72d7678e6d9f1ceb0ad31b9a44fcff

# coding: utf-8 from __future__ import absolute_import, unicode_literals import datetime from django.contrib.auth.models import User from django.template.defaultfilters import slugify import factory from elephantblog.models import Entry, Category, CategoryTranslation class UserFactory(factory.DjangoModelFactory): FACTORY_FOR = User username = 'author' password = 'elephant' email = '[email protected]' class EntryFactory(factory.DjangoModelFactory): FACTORY_FOR = Entry is_active = True is_featured = False def create_entries(factory): author = UserFactory() entries = [] entries.append(factory.create( pk=1, author=author, title='Entry 1', published_on=datetime.datetime(2012, 8, 12, 11, 0, 0), last_changed=datetime.datetime(2012, 8, 12, 15, 0, 0), slug='entry-1', language='en', )) entries.append(factory.create( pk=2, author=author, title='Eintrag 1', published_on=datetime.datetime(2012, 10, 12, 11, 0, 0), last_changed=datetime.datetime(2012, 10, 12, 15, 0, 0), slug='eintrag-1', language='en', )) return entries def create_chinese_entries(factory): entries = create_entries(factory) author = entries[0].author factory.create( pk=3, author=author, title='Entry 2 chinese traditional', language='zh-cn', translation_of=entries[0], published_on=datetime.datetime(2012, 10, 12, 12, 0, 0), last_changed=datetime.datetime(2012, 10, 12, 16, 0, 0), slug='entry-2-cn' ) factory.create( pk=4, author=author, title='Entry 2 chinese simplified', language='zh-tw', translation_of=entries[0], published_on=datetime.datetime(2012, 10, 12, 12, 0, 0), last_changed=datetime.datetime(2012, 10, 12, 16, 0, 0), slug='entry-2-tw' ) class CategoryTranslationFactory(factory.DjangoModelFactory): FACTORY_FOR = CategoryTranslation class CategoryFactory(factory.DjangoModelFactory): FACTORY_FOR = Category def create_category(title): category = CategoryFactory.create() CategoryTranslationFactory.create( parent=category, title=title, slug=slugify(title) ) return category

b180d9a0aaee642a22b00ccb8a76c7b426b376bf

py

Python

benchmark/startQiskit3034.py

UCLA-SEAL/QDiff

d968cbc47fe926b7f88b4adf10490f1edd6f8819

benchmark/startQiskit3034.py

UCLA-SEAL/QDiff

d968cbc47fe926b7f88b4adf10490f1edd6f8819

benchmark/startQiskit3034.py

UCLA-SEAL/QDiff

d968cbc47fe926b7f88b4adf10490f1edd6f8819

# qubit number=4 # total number=42 import cirq import qiskit from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister from qiskit import BasicAer, execute, transpile from pprint import pprint from qiskit.test.mock import FakeVigo from math import log2 import numpy as np import networkx as nx def bitwise_xor(s: str, t: str) -> str: length = len(s) res = [] for i in range(length): res.append(str(int(s[i]) ^ int(t[i]))) return ''.join(res[::-1]) def bitwise_dot(s: str, t: str) -> str: length = len(s) res = 0 for i in range(length): res += int(s[i]) * int(t[i]) return str(res % 2) def build_oracle(n: int, f) -> QuantumCircuit: # implement the oracle O_f # NOTE: use multi_control_toffoli_gate ('noancilla' mode) # https://qiskit.org/documentation/_modules/qiskit/aqua/circuits/gates/multi_control_toffoli_gate.html # https://quantumcomputing.stackexchange.com/questions/3943/how-do-you-implement-the-toffoli-gate-using-only-single-qubit-and-cnot-gates # https://quantumcomputing.stackexchange.com/questions/2177/how-can-i-implement-an-n-bit-toffoli-gate controls = QuantumRegister(n, "ofc") target = QuantumRegister(1, "oft") oracle = QuantumCircuit(controls, target, name="Of") for i in range(2 ** n): rep = np.binary_repr(i, n) if f(rep) == "1": for j in range(n): if rep[j] == "0": oracle.x(controls[j]) oracle.mct(controls, target[0], None, mode='noancilla') for j in range(n): if rep[j] == "0": oracle.x(controls[j]) # oracle.barrier() return oracle def make_circuit(n:int,f) -> QuantumCircuit: # circuit begin input_qubit = QuantumRegister(n,"qc") classical = ClassicalRegister(n, "qm") prog = QuantumCircuit(input_qubit, classical) prog.h(input_qubit[3]) # number=16 prog.cz(input_qubit[0],input_qubit[3]) # number=17 prog.h(input_qubit[3]) # number=18 prog.x(input_qubit[3]) # number=14 prog.h(input_qubit[3]) # number=32 prog.cz(input_qubit[0],input_qubit[3]) # number=33 prog.h(input_qubit[3]) # number=34 prog.rx(-1.928937889304133,input_qubit[1]) # number=35 prog.h(input_qubit[1]) # number=2 prog.h(input_qubit[2]) # number=3 prog.h(input_qubit[3]) # number=4 prog.y(input_qubit[3]) # number=12 prog.h(input_qubit[3]) # number=36 prog.cz(input_qubit[2],input_qubit[3]) # number=37 prog.h(input_qubit[3]) # number=38 prog.h(input_qubit[0]) # number=5 oracle = build_oracle(n-1, f) prog.append(oracle.to_gate(),[input_qubit[i] for i in range(n-1)]+[input_qubit[n-1]]) prog.h(input_qubit[1]) # number=6 prog.h(input_qubit[2]) # number=24 prog.cz(input_qubit[3],input_qubit[2]) # number=25 prog.h(input_qubit[2]) # number=26 prog.h(input_qubit[2]) # number=7 prog.h(input_qubit[3]) # number=8 prog.cx(input_qubit[0],input_qubit[2]) # number=29 prog.cx(input_qubit[0],input_qubit[2]) # number=39 prog.x(input_qubit[2]) # number=40 prog.cx(input_qubit[0],input_qubit[2]) # number=41 prog.cx(input_qubit[0],input_qubit[2]) # number=31 prog.h(input_qubit[0]) # number=9 prog.y(input_qubit[2]) # number=10 prog.y(input_qubit[2]) # number=11 prog.x(input_qubit[1]) # number=20 prog.x(input_qubit[1]) # number=21 prog.x(input_qubit[3]) # number=27 prog.x(input_qubit[3]) # number=28 # circuit end for i in range(n): prog.measure(input_qubit[i], classical[i]) return prog if __name__ == '__main__': a = "111" b = "0" f = lambda rep: bitwise_xor(bitwise_dot(a, rep), b) prog = make_circuit(4,f) backend = BasicAer.get_backend('qasm_simulator') sample_shot =8000 info = execute(prog, backend=backend, shots=sample_shot).result().get_counts() backend = FakeVigo() circuit1 = transpile(prog,backend,optimization_level=2) writefile = open("../data/startQiskit3034.csv","w") print(info,file=writefile) print("results end", file=writefile) print(circuit1.__len__(),file=writefile) print(circuit1,file=writefile) writefile.close()

b96f4c361ecaa3a29ac1ceca551f23dc1144fec5

py

Python

ami_md/ami_json.py

bturkus/ami-tools

d9ad73a3802055ac6c3a935ecb291fc96df6d156

ami_md/ami_json.py

bturkus/ami-tools

d9ad73a3802055ac6c3a935ecb291fc96df6d156

ami_md/ami_json.py

bturkus/ami-tools

d9ad73a3802055ac6c3a935ecb291fc96df6d156

import os, json, re, logging # data manipulation from pandas.tslib import Timestamp import numpy as np import pandas as pd # ami modules import ami_files.ami_file as ami_file import ami_md.ami_md_constants as ami_md_constants FULL_TECHFN_RE = r"^[a-z]{3}_[a-z\d\-\*_]+_([vfrspt]\d{2})+_(pm|em|sc)$" STUB_TECHFN_RE = r"^[a-z]{3}_[a-z\d\-\*_]+_([vfrspt]\d{2})+_(pm|em|sc)" FULL_REFFN_RE = r"^[a-z]{3}_[a-z\d\-\*_]+_([vfrspt]\d{2})+_(pm|em|sc)\.(mov|wav|mkv|dv|mp4)$" AUDIOFIELDS = ["filename", "extension", "fileFormat", "fileSize", "dateCreated", "durationHuman", "durationMilli", "audioCodec"] VIDEOFIELDS = ["filename", "extension", "fileFormat", "fileSize", "dateCreated", "durationHuman", "durationMilli", "audioCodec", "videoCodec"] LOGGER = logging.getLogger(__name__) class AMIJSONError(Exception): def __init__(self, message): self.message = message def __str__(self): return repr(self.message) class ami_json: def __init__(self, filepath = None, load = True, flat_dict = None, schema_version = "x.0.0", media_filepath = None): """ Initialize object as nested json """ if filepath: self.path = filepath self.filename = os.path.basename(filepath) if load: try: with open(self.path, 'r', encoding = 'utf-8-sig') as f: self.dict = json.load(f) except: self.raise_jsonerror('Not a JSON file') else: self.set_mediaformattype() if flat_dict: self.filename = os.path.splitext(flat_dict["asset.referenceFilename"])[0] + ".json" nested_dict = {} if "asset.schemaVersion" not in flat_dict.items(): flat_dict["asset.schemaVersion"] = schema_version for key, value in flat_dict.items(): if value: if pd.isnull(value): continue if type(value) == Timestamp: value = value.strftime('%Y-%m-%d') if isinstance(value, np.generic): value = np.asscalar(value) nested_dict = self.convert_dotKeyToNestedDict( nested_dict, key, value) self.dict = nested_dict self.set_mediaformattype() self.coerce_strings() if media_filepath: self.set_mediafilepath(media_filepath) def set_mediaformattype(self): try: hasattr(self, 'dict') except AttributeError: raise_jsonerror('Cannot set format type, metadata dictionary not loaded.') self.media_format_type = self.dict["source"]["object"]["type"][0:5] def set_mediafilepath(self, media_filepath = None): if not media_filepath: LOGGER.info('Attempting to locate media file based on JSON file location.') if hasattr(self, "path"): try: self.check_reffn() except: try: self.check_techfn() except: raise_jsonerror("Cannot determine described media file based on filename metdata") else: media_filename = self.dict["technical"]["filename"] + '.' + self.dict["technical"]["extension"] else: media_filename = self.dict["asset"]["referenceFilename"] media_filepath = os.path.join(os.path.split(self.path)[0], media_filename) else: raise_jsonerror("Cannot determine described media file location with json file location") if os.path.isfile(media_filepath): self.media_filepath = media_filepath else: self.raise_jsonerror("There is no media file found at {}".format(media_filepath)) def convert_dotKeyToNestedDict(self, tree, key, value): """ Recursive method that takes a dot-delimited header and returns a nested dictionary. Keyword arguments: key -- dot-delimited header string value -- value associated with header """ t = tree if "." in key: key, rest = key.split(".", 1) if key not in tree: t[key] = {} self.convert_dotKeyToNestedDict(t[key], rest, value) else: t[key] = value return t def convert_nestedDictToDotKey(self, tree, separator = ".", prefix = ""): """ Recursive method that takes a dot-delimited header and returns a nested dictionary. Keyword arguments: key -- dot-delimited header string value -- value associated with header """ new_tree = {} for key, value in tree.items(): key = prefix + key if isinstance(value, dict): new_tree.update(self.convert_nestedDictToDotKey(value, separator, key + separator)) else: new_tree[key] = value return new_tree def coerce_strings(self): for key, item in self.dict["bibliographic"].items(): self.dict["bibliographic"][key] = str(item).split('.')[0] for key, item in self.dict["digitizer"]["organization"]["address"].items(): self.dict["digitizer"]["organization"]["address"][key] = str(item).split('.')[0] def validate_json(self): """ Check the metadata values for common errors. """ valid = True LOGGER.info("Checking: {}".format(os.path.basename(self.filename))) #Check for a sheet that should have preservation metadata data try: self.check_techfn() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False try: self.check_reffn() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False try: self.compare_techfn_reffn() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False try: self.check_techmd_fields() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False if hasattr(self, 'media_filepath'): try: self.compare_techfn_media_filename() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False try: self.check_techmd_values() except AMIJSONError as e: LOGGER.error("Error in JSON metadata: {0}".format(e.message)) valid = False else: LOGGER.warning('Cannot check technical metadata values against media file without location of the described media file.') return valid def check_techmd_fields(self): self.valid_techmd_fields = False found_fields = set(list(self.dict["technical"].keys())) if self.media_format_type == "audio": expected_fields = set(AUDIOFIELDS) elif self.media_format_type == "video": expected_fields = set(VIDEOFIELDS) if not found_fields >= expected_fields: self.raise_jsonerror("Metadata is missing the following fields: {}".format( expected_fields - found_fields)) self.valid_techmd_fields = True return True def set_media_file(self): if not hasattr(self, 'media_filepath'): self.set_mediafilepath() self.media_file = ami_file.ami_file(self.media_filepath) def check_techmd_values(self): if not hasattr(self, 'valid_techmd_fields'): self.check_techmd_fields() if not hasattr(self, 'media_file'): self.set_media_file() if self.media_format_type == "audio": field_mapping = ami_md_constants.JSON_TO_AUDIO_FILE_MAPPING elif self.media_format_type == "video": field_mapping = ami_md_constants.JSON_TO_VIDEO_FILE_MAPPING errors = [] for key, value in field_mapping.items(): try: self.check_md_value(key, value) except AMIJSONError as e: errors.append(e.message) if errors: self.raise_jsonerror(' '.join(errors)) return True def check_md_value(self, field, mapped_field, separator = '.'): try: file_value = getattr(self.media_file, mapped_field) except AttributeError: self.raise_jsonerror("File does not have expected attribute: {}".format( mapped_field )) md_value = self.dict["technical"] if separator in field: field_parts = field.split(separator) for part in field_parts: md_value = md_value[part] else: md_value = md_value[field] if md_value != file_value: if field == 'dateCreated': LOGGER.warning('{0} in JSON and from file disagree. JSON: {1}, From file: {2}.'.format( field, md_value, file_value )) else: self.raise_jsonerror("Incorrect value for {0}. Expected: {1}, Found: {2}.".format( field, md_value, file_value )) return True def repair_techmd(self): if not hasattr(self, 'media_file'): self.set_media_file() LOGGER.info("Rewriting technical md for {}".format(os.path.basename(self.filename))) self.dict["technical"]["filename"] = self.media_file.base_filename self.dict["technical"]["extension"] = self.media_file.extension self.dict["technical"]["fileFormat"] = self.media_file.format if "fileSize" not in self.dict["technical"].keys(): self.dict["technical"]["fileSize"] = {} self.dict["technical"]["fileSize"]["measure"] = self.media_file.size self.dict["technical"]["fileSize"]["unit"] = "B" #retain original dates if not "dateCreated" in self.dict["technical"].keys(): self.dict["technical"]["dateCreated"] = self.media_file.date_created self.dict["technical"]["durationHuman"] = self.media_file.duration_human if "durationMilli" not in self.dict["technical"].keys(): self.dict["technical"]["durationMilli"] = {} self.dict["technical"]["durationMilli"]["measure"] = self.media_file.duration_milli self.dict["technical"]["durationMilli"]["unit"] = "ms" self.dict["technical"]["audioCodec"] = self.media_file.audio_codec if self.media_file.type == "Video": self.dict["technical"]["videoCodec"] = self.media_file.video_codec def check_techfn(self): if not "filename" in self.dict["technical"].keys(): self.raise_jsonerror("Key missing for technical.filename") if not re.match(FULL_TECHFN_RE, self.dict["technical"]["filename"]): self.raise_jsonerror("Value for technical.filename does not meet expectations: {}" .format(self.dict["technical"]["filename"])) return True def repair_techfn(self): correct_techfn = re.match(STUB_TECHFN_RE, self.dict["technical"]["filename"]) if correct_techfn: if hasattr(self, 'media_filepath'): try: self.compare_techfn_media_filename() except: LOGGER.error('Extracted technical filename does not match provide media filename.') return False try: self.compare_techfn_reffn() except: LOGGER.warning('Extracted technical filename does not match referenceFilename value.') self.dict["technical"]["filename"] = correct_techfn[0] LOGGER.info("{} technical.filename updated to: {}".format( self.filename, self.dict["technical"]["filename"])) return True else: LOGGER.error("Valid technical.filename could not be extracted from {}".format( self.dict["technical"]["filename"])) return False def check_reffn(self): if not "referenceFilename" in self.dict["asset"].keys(): self.raise_jsonerror("Key missing for asset.referenceFilename") if not re.match(FULL_REFFN_RE, self.dict["asset"]["referenceFilename"]): self.raise_jsonerror("Value for asset.referenceFilename does not meet expectations: {}" .format(self.dict["asset"]["referenceFilename"])) return True def repair_reffn(self): try: self.check_techfn() except AMIJSONError as e: LOGGER.error("Valid asset.referenceFilename cannot be created from technical fields: {}, {}".format( self.dict["technical"]["filename"], self.dict["technical"]["extension"])) return False else: replacement_value = self.dict["technical"]["filename"] + '.' + self.dict["technical"]["extension"] self.dict["asset"]["referenceFilename"] = replacement_value LOGGER.info("{} asset.referenceFilename updated to: {}".format(self.filename, self.dict["asset"]["referenceFilename"])) return True def compare_techfn_reffn(self): if not ("filename" in self.dict["technical"].keys() and "extension" in self.dict["technical"].keys() and "referenceFilename" in self.dict["asset"].keys()): self.raise_jsonerror("Key or keys related to filenames missing") if self.dict["asset"]["referenceFilename"] != self.dict["technical"]["filename"] + '.' + self.dict["technical"]["extension"]: self.raise_jsonerror("Value for asset.referenceFilename should equal technical.filename + technical.extension: {} != {}.{}" .format(self.dict["asset"]["referenceFilename"], self.dict["technical"]["filename"], self.dict["technical"]["extension"])) return True def compare_techfn_media_filename(self): expected_media_filename = self.dict["technical"]["filename"] + '.' + self.dict["technical"]["extension"] provided_media_filename = os.path.basename(self.media_filepath) if expected_media_filename != provided_media_filename: self.raise_jsonerror("Value for technical.filename + technical.extension should equal media filename: {} != {}" .format(expected_media_filename, provided_media_filename)) return True def write_json(self, output_directory, indent = None): if not os.path.exists(output_directory): self.raise_jsonerror('output directory does not exist') else: json_directory = output_directory if ('technical' in self.dict.keys() and 'filename' in self.dict['technical'].keys()): filename = self.dict['technical']['filename'] elif ('asset' in self.dict.keys() and 'referenceFilename' in self.dict['asset'].keys()): filename = self.dict['asset']['referenceFilename'].split('.')[0] else: self.raise_jsonerror('Metadata requires asset.referenceFilename or technical.filename to be saved.') json_filename = "{0}/{1}.json".format( json_directory, filename) with open(json_filename, 'w') as f: json.dump(self.dict, f, indent = indent) LOGGER.info("{} written".format(json_filename)) def raise_jsonerror(self, msg): """ lazy error reporting """ raise AMIJSONError(msg) logging.error(msg + '\n') return False

356fe041b5f84d6497a41eedfa3fec370db6a21b

py

Python

mac-platform-tools/systrace/catapult/devil/devil/android/logcat_monitor_test.py

NBPS-Robotics/FTC-Code-Team-9987---2022

180538f3ebd234635fa88f96ae7cf7441df6a246

2015-04-17T18:29:53.000Z

2022-03-28T22:41:06.000Z

mac-platform-tools/systrace/catapult/devil/devil/android/logcat_monitor_test.py

NBPS-Robotics/FTC-Code-Team-9987---2022

180538f3ebd234635fa88f96ae7cf7441df6a246

2015-07-08T16:19:08.000Z

2019-12-02T15:01:27.000Z

mac-platform-tools/systrace/catapult/devil/devil/android/logcat_monitor_test.py

NBPS-Robotics/FTC-Code-Team-9987---2022

180538f3ebd234635fa88f96ae7cf7441df6a246

2015-06-02T19:18:35.000Z

2022-03-29T16:57:15.000Z

#!/usr/bin/env python # Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # pylint: disable=protected-access import itertools import threading import unittest import six from devil import devil_env from devil.android import logcat_monitor from devil.android.sdk import adb_wrapper with devil_env.SysPath(devil_env.PYMOCK_PATH): import mock # pylint: disable=import-error def _CreateTestLog(raw_logcat=None): test_adb = adb_wrapper.AdbWrapper('0123456789abcdef') test_adb.Logcat = mock.Mock(return_value=(l for l in raw_logcat)) test_log = logcat_monitor.LogcatMonitor(test_adb, clear=False) return test_log def zip_longest(expected, actual): # pylint: disable=no-member if six.PY2: return itertools.izip_longest(expected, actual) else: return itertools.zip_longest(expected, actual) class LogcatMonitorTest(unittest.TestCase): _TEST_THREADTIME_LOGCAT_DATA = [ '01-01 01:02:03.456 7890 0987 V LogcatMonitorTest: ' 'verbose logcat monitor test message 1', '01-01 01:02:03.457 8901 1098 D LogcatMonitorTest: ' 'debug logcat monitor test message 2', '01-01 01:02:03.458 9012 2109 I LogcatMonitorTest: ' 'info logcat monitor test message 3', '01-01 01:02:03.459 0123 3210 W LogcatMonitorTest: ' 'warning logcat monitor test message 4', '01-01 01:02:03.460 1234 4321 E LogcatMonitorTest: ' 'error logcat monitor test message 5', '01-01 01:02:03.461 2345 5432 F LogcatMonitorTest: ' 'fatal logcat monitor test message 6', '01-01 01:02:03.462 3456 6543 D LogcatMonitorTest: ' 'last line' ] def assertIterEqual(self, expected_iter, actual_iter): for expected, actual in zip_longest(expected_iter, actual_iter): self.assertIsNotNone( expected, msg='actual has unexpected elements starting with %s' % str(actual)) self.assertIsNotNone( actual, msg='actual is missing elements starting with %s' % str(expected)) self.assertEqual(actual.group('proc_id'), expected[0]) self.assertEqual(actual.group('thread_id'), expected[1]) self.assertEqual(actual.group('log_level'), expected[2]) self.assertEqual(actual.group('component'), expected[3]) self.assertEqual(actual.group('message'), expected[4]) with self.assertRaises(StopIteration): next(actual_iter) with self.assertRaises(StopIteration): next(expected_iter) @mock.patch('time.sleep', mock.Mock()) def testWaitFor_success(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() actual_match = test_log.WaitFor(r'.*(fatal|error) logcat monitor.*', None) self.assertTrue(actual_match) self.assertEqual( '01-01 01:02:03.460 1234 4321 E LogcatMonitorTest: ' 'error logcat monitor test message 5', actual_match.group(0)) self.assertEqual('error', actual_match.group(1)) test_log.Stop() test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testWaitFor_failure(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() actual_match = test_log.WaitFor(r'.*My Success Regex.*', r'.*(fatal|error) logcat monitor.*') self.assertIsNone(actual_match) test_log.Stop() test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testWaitFor_buffering(self): # Simulate an adb log stream which does not complete until the test tells it # to. This checks that the log matcher can receive individual lines from the # log reader thread even if adb is not producing enough output to fill an # entire file io buffer. finished_lock = threading.Lock() finished_lock.acquire() def LogGenerator(): for line in type(self)._TEST_THREADTIME_LOGCAT_DATA: yield line finished_lock.acquire() test_adb = adb_wrapper.AdbWrapper('0123456789abcdef') test_adb.Logcat = mock.Mock(return_value=LogGenerator()) test_log = logcat_monitor.LogcatMonitor(test_adb, clear=False) test_log.Start() actual_match = test_log.WaitFor(r'.*last line.*', None) finished_lock.release() self.assertTrue(actual_match) test_log.Stop() test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_defaults(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() expected_results = [('7890', '0987', 'V', 'LogcatMonitorTest', 'verbose logcat monitor test message 1'), ('8901', '1098', 'D', 'LogcatMonitorTest', 'debug logcat monitor test message 2'), ('9012', '2109', 'I', 'LogcatMonitorTest', 'info logcat monitor test message 3'), ('0123', '3210', 'W', 'LogcatMonitorTest', 'warning logcat monitor test message 4'), ('1234', '4321', 'E', 'LogcatMonitorTest', 'error logcat monitor test message 5'), ('2345', '5432', 'F', 'LogcatMonitorTest', 'fatal logcat monitor test message 6')] actual_results = test_log.FindAll(r'\S* logcat monitor test message \d') self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_defaults_miss(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() expected_results = [] actual_results = test_log.FindAll(r'\S* nothing should match this \d') self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_filterProcId(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() actual_results = test_log.FindAll( r'\S* logcat monitor test message \d', proc_id=1234) expected_results = [('1234', '4321', 'E', 'LogcatMonitorTest', 'error logcat monitor test message 5')] self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_filterThreadId(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() actual_results = test_log.FindAll( r'\S* logcat monitor test message \d', thread_id=2109) expected_results = [('9012', '2109', 'I', 'LogcatMonitorTest', 'info logcat monitor test message 3')] self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_filterLogLevel(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() actual_results = test_log.FindAll( r'\S* logcat monitor test message \d', log_level=r'[DW]') expected_results = [('8901', '1098', 'D', 'LogcatMonitorTest', 'debug logcat monitor test message 2'), ('0123', '3210', 'W', 'LogcatMonitorTest', 'warning logcat monitor test message 4')] self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() @mock.patch('time.sleep', mock.Mock()) def testFindAll_filterComponent(self): test_log = _CreateTestLog( raw_logcat=type(self)._TEST_THREADTIME_LOGCAT_DATA) test_log.Start() test_log.WaitFor(r'.*last line.*', None) test_log.Stop() actual_results = test_log.FindAll(r'.*', component='LogcatMonitorTest') expected_results = [('7890', '0987', 'V', 'LogcatMonitorTest', 'verbose logcat monitor test message 1'), ('8901', '1098', 'D', 'LogcatMonitorTest', 'debug logcat monitor test message 2'), ('9012', '2109', 'I', 'LogcatMonitorTest', 'info logcat monitor test message 3'), ('0123', '3210', 'W', 'LogcatMonitorTest', 'warning logcat monitor test message 4'), ('1234', '4321', 'E', 'LogcatMonitorTest', 'error logcat monitor test message 5'), ('2345', '5432', 'F', 'LogcatMonitorTest', 'fatal logcat monitor test message 6'), ('3456', '6543', 'D', 'LogcatMonitorTest', 'last line')] self.assertIterEqual(iter(expected_results), actual_results) test_log.Close() if __name__ == '__main__': unittest.main(verbosity=2)

9d6962508612d479bf00b382ede9298a33c10f30

py

Python

python/ngraph/__init__.py

free25zer/ngraph

a58d3bc255b092d901b54aa744dc0e5945d24fb6

python/ngraph/__init__.py

free25zer/ngraph

a58d3bc255b092d901b54aa744dc0e5945d24fb6

python/ngraph/__init__.py

free25zer/ngraph

a58d3bc255b092d901b54aa744dc0e5945d24fb6

# ****************************************************************************** # Copyright 2017-2019 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ****************************************************************************** """ngraph module namespace, exposing factory functions for all ops and other classes.""" from pkg_resources import get_distribution, DistributionNotFound try: __version__ = get_distribution('ngraph-core').version except DistributionNotFound: __version__ = '0.0.0-dev' from ngraph.ops import absolute from ngraph.ops import absolute as abs from ngraph.ops import acos from ngraph.ops import add from ngraph.ops import argmax from ngraph.ops import argmin from ngraph.ops import asin from ngraph.ops import atan from ngraph.ops import avg_pool from ngraph.ops import batch_norm from ngraph.ops import broadcast from ngraph.ops import broadcast_to from ngraph.ops import ceiling from ngraph.ops import ceiling as ceil from ngraph.ops import concat from ngraph.ops import constant from ngraph.ops import convert from ngraph.ops import convolution from ngraph.ops import convolution_backprop_data from ngraph.ops import cos from ngraph.ops import cosh from ngraph.ops import divide from ngraph.ops import dot from ngraph.ops import equal from ngraph.ops import exp from ngraph.ops import floor from ngraph.ops import get_output_element from ngraph.ops import greater from ngraph.ops import greater_eq from ngraph.ops import less from ngraph.ops import less_eq from ngraph.ops import log from ngraph.ops import logical_and from ngraph.ops import logical_or from ngraph.ops import logical_not from ngraph.ops import lrn from ngraph.ops import max from ngraph.ops import max_pool from ngraph.ops import maximum from ngraph.ops import min from ngraph.ops import minimum from ngraph.ops import multiply from ngraph.ops import negative from ngraph.ops import not_equal from ngraph.ops import one_hot from ngraph.ops import pad from ngraph.ops import parameter from ngraph.ops import power from ngraph.ops import prod from ngraph.ops import relu from ngraph.ops import replace_slice from ngraph.ops import reshape from ngraph.ops import reverse from ngraph.ops import select from ngraph.ops import sign from ngraph.ops import sin from ngraph.ops import sinh from ngraph.ops import slice from ngraph.ops import softmax from ngraph.ops import sqrt from ngraph.ops import subtract from ngraph.ops import sum from ngraph.ops import tan from ngraph.ops import tanh from ngraph.ops import topk from ngraph.runtime import runtime

db409b215a78d2e5f470f077baabf89008987b12

py

Python

pandas/core/computation/pytables.py

YuechengWu/pandas

7f753892eb6b29aaa62176cb9f00ad84c092c09a

2019-04-16T21:03:23.000Z

2021-05-08T13:25:44.000Z

pandas/core/computation/pytables.py

YuechengWu/pandas

7f753892eb6b29aaa62176cb9f00ad84c092c09a

2016-08-15T12:35:16.000Z

2016-08-15T12:35:16.000Z

pandas/core/computation/pytables.py

YuechengWu/pandas

7f753892eb6b29aaa62176cb9f00ad84c092c09a

2017-05-27T03:25:12.000Z

2021-09-21T21:51:12.000Z

""" manage PyTables query interface via Expressions """ import ast from functools import partial import numpy as np from pandas.compat import DeepChainMap, string_types, u from pandas.core.dtypes.common import is_list_like import pandas as pd from pandas.core.base import StringMixin import pandas.core.common as com from pandas.core.computation import expr, ops from pandas.core.computation.common import _ensure_decoded from pandas.core.computation.expr import BaseExprVisitor from pandas.core.computation.ops import UndefinedVariableError, is_term from pandas.core.tools.timedeltas import _coerce_scalar_to_timedelta_type from pandas.io.formats.printing import pprint_thing, pprint_thing_encoded class Scope(expr.Scope): __slots__ = 'queryables', def __init__(self, level, global_dict=None, local_dict=None, queryables=None): super(Scope, self).__init__(level + 1, global_dict=global_dict, local_dict=local_dict) self.queryables = queryables or dict() class Term(ops.Term): def __new__(cls, name, env, side=None, encoding=None): klass = Constant if not isinstance(name, string_types) else cls supr_new = StringMixin.__new__ return supr_new(klass) def __init__(self, name, env, side=None, encoding=None): super(Term, self).__init__(name, env, side=side, encoding=encoding) def _resolve_name(self): # must be a queryables if self.side == 'left': if self.name not in self.env.queryables: raise NameError('name {name!r} is not defined' .format(name=self.name)) return self.name # resolve the rhs (and allow it to be None) try: return self.env.resolve(self.name, is_local=False) except UndefinedVariableError: return self.name @property def value(self): return self._value class Constant(Term): def __init__(self, value, env, side=None, encoding=None): super(Constant, self).__init__(value, env, side=side, encoding=encoding) def _resolve_name(self): return self._name class BinOp(ops.BinOp): _max_selectors = 31 def __init__(self, op, lhs, rhs, queryables, encoding): super(BinOp, self).__init__(op, lhs, rhs) self.queryables = queryables self.encoding = encoding self.filter = None self.condition = None def _disallow_scalar_only_bool_ops(self): pass def prune(self, klass): def pr(left, right): """ create and return a new specialized BinOp from myself """ if left is None: return right elif right is None: return left k = klass if isinstance(left, ConditionBinOp): if (isinstance(left, ConditionBinOp) and isinstance(right, ConditionBinOp)): k = JointConditionBinOp elif isinstance(left, k): return left elif isinstance(right, k): return right elif isinstance(left, FilterBinOp): if (isinstance(left, FilterBinOp) and isinstance(right, FilterBinOp)): k = JointFilterBinOp elif isinstance(left, k): return left elif isinstance(right, k): return right return k(self.op, left, right, queryables=self.queryables, encoding=self.encoding).evaluate() left, right = self.lhs, self.rhs if is_term(left) and is_term(right): res = pr(left.value, right.value) elif not is_term(left) and is_term(right): res = pr(left.prune(klass), right.value) elif is_term(left) and not is_term(right): res = pr(left.value, right.prune(klass)) elif not (is_term(left) or is_term(right)): res = pr(left.prune(klass), right.prune(klass)) return res def conform(self, rhs): """ inplace conform rhs """ if not is_list_like(rhs): rhs = [rhs] if isinstance(rhs, np.ndarray): rhs = rhs.ravel() return rhs @property def is_valid(self): """ return True if this is a valid field """ return self.lhs in self.queryables @property def is_in_table(self): """ return True if this is a valid column name for generation (e.g. an actual column in the table) """ return self.queryables.get(self.lhs) is not None @property def kind(self): """ the kind of my field """ return getattr(self.queryables.get(self.lhs), 'kind', None) @property def meta(self): """ the meta of my field """ return getattr(self.queryables.get(self.lhs), 'meta', None) @property def metadata(self): """ the metadata of my field """ return getattr(self.queryables.get(self.lhs), 'metadata', None) def generate(self, v): """ create and return the op string for this TermValue """ val = v.tostring(self.encoding) return "({lhs} {op} {val})".format(lhs=self.lhs, op=self.op, val=val) def convert_value(self, v): """ convert the expression that is in the term to something that is accepted by pytables """ def stringify(value): if self.encoding is not None: encoder = partial(pprint_thing_encoded, encoding=self.encoding) else: encoder = pprint_thing return encoder(value) kind = _ensure_decoded(self.kind) meta = _ensure_decoded(self.meta) if kind == u('datetime64') or kind == u('datetime'): if isinstance(v, (int, float)): v = stringify(v) v = _ensure_decoded(v) v = pd.Timestamp(v) if v.tz is not None: v = v.tz_convert('UTC') return TermValue(v, v.value, kind) elif kind == u('timedelta64') or kind == u('timedelta'): v = _coerce_scalar_to_timedelta_type(v, unit='s').value return TermValue(int(v), v, kind) elif meta == u('category'): metadata = com.values_from_object(self.metadata) result = metadata.searchsorted(v, side='left') # result returns 0 if v is first element or if v is not in metadata # check that metadata contains v if not result and v not in metadata: result = -1 return TermValue(result, result, u('integer')) elif kind == u('integer'): v = int(float(v)) return TermValue(v, v, kind) elif kind == u('float'): v = float(v) return TermValue(v, v, kind) elif kind == u('bool'): if isinstance(v, string_types): v = not v.strip().lower() in [u('false'), u('f'), u('no'), u('n'), u('none'), u('0'), u('[]'), u('{}'), u('')] else: v = bool(v) return TermValue(v, v, kind) elif isinstance(v, string_types): # string quoting return TermValue(v, stringify(v), u('string')) else: raise TypeError("Cannot compare {v} of type {typ} to {kind} column" .format(v=v, typ=type(v), kind=kind)) def convert_values(self): pass class FilterBinOp(BinOp): def __unicode__(self): return pprint_thing("[Filter : [{lhs}] -> [{op}]" .format(lhs=self.filter[0], op=self.filter[1])) def invert(self): """ invert the filter """ if self.filter is not None: f = list(self.filter) f[1] = self.generate_filter_op(invert=True) self.filter = tuple(f) return self def format(self): """ return the actual filter format """ return [self.filter] def evaluate(self): if not self.is_valid: raise ValueError("query term is not valid [{slf}]" .format(slf=self)) rhs = self.conform(self.rhs) values = [TermValue(v, v, self.kind) for v in rhs] if self.is_in_table: # if too many values to create the expression, use a filter instead if self.op in ['==', '!='] and len(values) > self._max_selectors: filter_op = self.generate_filter_op() self.filter = ( self.lhs, filter_op, pd.Index([v.value for v in values])) return self return None # equality conditions if self.op in ['==', '!=']: filter_op = self.generate_filter_op() self.filter = ( self.lhs, filter_op, pd.Index([v.value for v in values])) else: raise TypeError("passing a filterable condition to a non-table " "indexer [{slf}]".format(slf=self)) return self def generate_filter_op(self, invert=False): if (self.op == '!=' and not invert) or (self.op == '==' and invert): return lambda axis, vals: ~axis.isin(vals) else: return lambda axis, vals: axis.isin(vals) class JointFilterBinOp(FilterBinOp): def format(self): raise NotImplementedError("unable to collapse Joint Filters") def evaluate(self): return self class ConditionBinOp(BinOp): def __unicode__(self): return pprint_thing("[Condition : [{cond}]]" .format(cond=self.condition)) def invert(self): """ invert the condition """ # if self.condition is not None: # self.condition = "~(%s)" % self.condition # return self raise NotImplementedError("cannot use an invert condition when " "passing to numexpr") def format(self): """ return the actual ne format """ return self.condition def evaluate(self): if not self.is_valid: raise ValueError("query term is not valid [{slf}]" .format(slf=self)) # convert values if we are in the table if not self.is_in_table: return None rhs = self.conform(self.rhs) values = [self.convert_value(v) for v in rhs] # equality conditions if self.op in ['==', '!=']: # too many values to create the expression? if len(values) <= self._max_selectors: vs = [self.generate(v) for v in values] self.condition = "({cond})".format(cond=' | '.join(vs)) # use a filter after reading else: return None else: self.condition = self.generate(values[0]) return self class JointConditionBinOp(ConditionBinOp): def evaluate(self): self.condition = "({lhs} {op} {rhs})".format(lhs=self.lhs.condition, op=self.op, rhs=self.rhs.condition) return self class UnaryOp(ops.UnaryOp): def prune(self, klass): if self.op != '~': raise NotImplementedError("UnaryOp only support invert type ops") operand = self.operand operand = operand.prune(klass) if operand is not None: if issubclass(klass, ConditionBinOp): if operand.condition is not None: return operand.invert() elif issubclass(klass, FilterBinOp): if operand.filter is not None: return operand.invert() return None _op_classes = {'unary': UnaryOp} class ExprVisitor(BaseExprVisitor): const_type = Constant term_type = Term def __init__(self, env, engine, parser, **kwargs): super(ExprVisitor, self).__init__(env, engine, parser) for bin_op in self.binary_ops: bin_node = self.binary_op_nodes_map[bin_op] setattr(self, 'visit_{node}'.format(node=bin_node), lambda node, bin_op=bin_op: partial(BinOp, bin_op, **kwargs)) def visit_UnaryOp(self, node, **kwargs): if isinstance(node.op, (ast.Not, ast.Invert)): return UnaryOp('~', self.visit(node.operand)) elif isinstance(node.op, ast.USub): return self.const_type(-self.visit(node.operand).value, self.env) elif isinstance(node.op, ast.UAdd): raise NotImplementedError('Unary addition not supported') def visit_Index(self, node, **kwargs): return self.visit(node.value).value def visit_Assign(self, node, **kwargs): cmpr = ast.Compare(ops=[ast.Eq()], left=node.targets[0], comparators=[node.value]) return self.visit(cmpr) def visit_Subscript(self, node, **kwargs): # only allow simple suscripts value = self.visit(node.value) slobj = self.visit(node.slice) try: value = value.value except AttributeError: pass try: return self.const_type(value[slobj], self.env) except TypeError: raise ValueError("cannot subscript {value!r} with " "{slobj!r}".format(value=value, slobj=slobj)) def visit_Attribute(self, node, **kwargs): attr = node.attr value = node.value ctx = node.ctx.__class__ if ctx == ast.Load: # resolve the value resolved = self.visit(value) # try to get the value to see if we are another expression try: resolved = resolved.value except (AttributeError): pass try: return self.term_type(getattr(resolved, attr), self.env) except AttributeError: # something like datetime.datetime where scope is overridden if isinstance(value, ast.Name) and value.id == attr: return resolved raise ValueError("Invalid Attribute context {name}" .format(name=ctx.__name__)) def translate_In(self, op): return ast.Eq() if isinstance(op, ast.In) else op def _rewrite_membership_op(self, node, left, right): return self.visit(node.op), node.op, left, right def _validate_where(w): """ Validate that the where statement is of the right type. The type may either be String, Expr, or list-like of Exprs. Parameters ---------- w : String term expression, Expr, or list-like of Exprs. Returns ------- where : The original where clause if the check was successful. Raises ------ TypeError : An invalid data type was passed in for w (e.g. dict). """ if not (isinstance(w, (Expr, string_types)) or is_list_like(w)): raise TypeError("where must be passed as a string, Expr, " "or list-like of Exprs") return w class Expr(expr.Expr): """ hold a pytables like expression, comprised of possibly multiple 'terms' Parameters ---------- where : string term expression, Expr, or list-like of Exprs queryables : a "kinds" map (dict of column name -> kind), or None if column is non-indexable encoding : an encoding that will encode the query terms Returns ------- an Expr object Examples -------- 'index>=date' "columns=['A', 'D']" 'columns=A' 'columns==A' "~(columns=['A','B'])" 'index>df.index[3] & string="bar"' '(index>df.index[3] & index<=df.index[6]) | string="bar"' "ts>=Timestamp('2012-02-01')" "major_axis>=20130101" """ def __init__(self, where, queryables=None, encoding=None, scope_level=0): where = _validate_where(where) self.encoding = encoding self.condition = None self.filter = None self.terms = None self._visitor = None # capture the environment if needed local_dict = DeepChainMap() if isinstance(where, Expr): local_dict = where.env.scope where = where.expr elif isinstance(where, (list, tuple)): for idx, w in enumerate(where): if isinstance(w, Expr): local_dict = w.env.scope else: w = _validate_where(w) where[idx] = w where = ' & '.join(map('({})'.format, com.flatten(where))) # noqa self.expr = where self.env = Scope(scope_level + 1, local_dict=local_dict) if queryables is not None and isinstance(self.expr, string_types): self.env.queryables.update(queryables) self._visitor = ExprVisitor(self.env, queryables=queryables, parser='pytables', engine='pytables', encoding=encoding) self.terms = self.parse() def __unicode__(self): if self.terms is not None: return pprint_thing(self.terms) return pprint_thing(self.expr) def evaluate(self): """ create and return the numexpr condition and filter """ try: self.condition = self.terms.prune(ConditionBinOp) except AttributeError: raise ValueError("cannot process expression [{expr}], [{slf}] " "is not a valid condition".format(expr=self.expr, slf=self)) try: self.filter = self.terms.prune(FilterBinOp) except AttributeError: raise ValueError("cannot process expression [{expr}], [{slf}] " "is not a valid filter".format(expr=self.expr, slf=self)) return self.condition, self.filter class TermValue(object): """ hold a term value the we use to construct a condition/filter """ def __init__(self, value, converted, kind): self.value = value self.converted = converted self.kind = kind def tostring(self, encoding): """ quote the string if not encoded else encode and return """ if self.kind == u'string': if encoding is not None: return self.converted return '"{converted}"'.format(converted=self.converted) elif self.kind == u'float': # python 2 str(float) is not always # round-trippable so use repr() return repr(self.converted) return self.converted def maybe_expression(s): """ loose checking if s is a pytables-acceptable expression """ if not isinstance(s, string_types): return False ops = ExprVisitor.binary_ops + ExprVisitor.unary_ops + ('=',) # make sure we have an op at least return any(op in s for op in ops)

1c1195d740c673c4fbbe9bca08ba0a97d7c2e035

py

Python

backend/tests/test_study.py

sartography/star-drive

c0f33378d42913c3e677e07f74eb46d7b2b82a0a

backend/tests/test_study.py

sartography/star-drive

c0f33378d42913c3e677e07f74eb46d7b2b82a0a

2018-12-18T14:43:20.000Z

2022-03-02T02:54:18.000Z

backend/tests/test_study.py

sartography/star-drive

c0f33378d42913c3e677e07f74eb46d7b2b82a0a

2019-10-02T03:06:06.000Z

2020-10-05T16:53:48.000Z

import unittest from flask import json from tests.base_test import BaseTest from app import db from app.email_service import TEST_MESSAGES from app.model.email_log import EmailLog from app.model.investigator import Investigator from app.model.participant import Relationship from app.model.questionnaires.identification_questionnaire import IdentificationQuestionnaire from app.model.questionnaires.contact_questionnaire import ContactQuestionnaire from app.model.study import Study, Status from app.model.study_category import StudyCategory from app.model.study_investigator import StudyInvestigator class TestStudy(BaseTest, unittest.TestCase): def test_study_basics(self): self.construct_study() s = db.session.query(Study).first() self.assertIsNotNone(s) s_id = s.id rv = self.app.get('/api/study/%i' % s_id, follow_redirects=True, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(response["id"], s_id) self.assertEqual(response["title"], 'Fantastic Study') self.assertEqual(response["description"], 'A study that will go down in history') self.assertNotIn('study_users', response, "Never include info about other users in a non-protected endpoint") self.assertNotIn('users', response, "Never include info about other users in a non-protected endpoint") def test_modify_study_basics(self): self.construct_study() s = db.session.query(Study).first() self.assertIsNotNone(s) s_id = s.id rv = self.app.get('/api/study/%i' % s_id, content_type="application/json") response = json.loads(rv.get_data(as_text=True)) response['title'] = 'Edwarardos Lemonade and Oil Change' response['description'] = 'Better fluids for you and your car.' response['benefit_description'] = 'Better fluids for you and your car, Duh.' response["short_title"] = 'Edwardos' response["short_description"] = 'Better fluids yada yada.' response["image_url"] = '/some/url' response["coordinator_email"] = '[email protected]' orig_date = response['last_updated'] rv = self.app.put('/api/study/%i' % s_id, data=self.jsonify(response), content_type="application/json", follow_redirects=True) self.assert_success(rv) rv = self.app.get('/api/study/%i' % s_id, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(response['title'], 'Edwarardos Lemonade and Oil Change') self.assertEqual(response['description'], 'Better fluids for you and your car.') self.assertEqual(response['benefit_description'], 'Better fluids for you and your car, Duh.') self.assertEqual(response["short_title"], 'Edwardos') self.assertEqual(response["short_description"], 'Better fluids yada yada.') self.assertEqual(response["image_url"], '/some/url') self.assertEqual(response["coordinator_email"], '[email protected]') self.assertNotEqual(orig_date, response['last_updated']) def test_delete_study(self): s = self.construct_study() s_id = s.id rv = self.app.get('api/study/%i' % s_id, content_type="application/json") self.assert_success(rv) rv = self.app.delete('api/study/%i' % s_id, content_type="application/json") self.assert_success(rv) rv = self.app.get('api/study/%i' % s_id, content_type="application/json") self.assertEqual(404, rv.status_code) def test_create_study(self): study = {'title': "Study of Studies", 'benefit_description': "This study will change your life.", 'organization_name': "Study Org"} rv = self.app.post('api/study', data=self.jsonify(study), content_type="application/json", follow_redirects=True) self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(response['title'], 'Study of Studies') self.assertEqual(response['benefit_description'], 'This study will change your life.') self.assertIsNotNone(response['id']) def test_get_study_by_category(self): c = self.construct_category() s = self.construct_study() cs = StudyCategory(study=s, category=c) db.session.add(cs) db.session.commit() rv = self.app.get( '/api/category/%i/study' % c.id, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(1, len(response)) self.assertEqual(s.id, response[0]["study_id"]) self.assertEqual(s.description, response[0]["study"]["description"]) def test_get_study_by_category_includes_category_details(self): c = self.construct_category(name="c1") c2 = self.construct_category(name="c2") s = self.construct_study() cs = StudyCategory(study=s, category=c) cs2 = StudyCategory(study=s, category=c2) db.session.add_all([cs, cs2]) db.session.commit() rv = self.app.get( '/api/category/%i/study' % c.id, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(s.id, response[0]["study_id"]) self.assertEqual(2, len(response[0]["study"]["study_categories"])) self.assertEqual( "c1", response[0]["study"]["study_categories"][0]["category"] ["name"]) def test_category_study_count(self): c = self.construct_category() s = self.construct_study() cs = StudyCategory(study=s, category=c) db.session.add(cs) db.session.commit() rv = self.app.get( '/api/category/%i' % c.id, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(1, response["study_count"]) def test_get_category_by_study(self): c = self.construct_category() s = self.construct_study() cs = StudyCategory(study=s, category=c) db.session.add(cs) db.session.commit() rv = self.app.get( '/api/study/%i/category' % s.id, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(1, len(response)) self.assertEqual(c.id, response[0]["id"]) self.assertEqual(c.name, response[0]["category"]["name"]) def test_add_category_to_study(self): c = self.construct_category() s = self.construct_study() sc_data = {"study_id": s.id, "category_id": c.id} rv = self.app.post( '/api/study_category', data=self.jsonify(sc_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(c.id, response["category_id"]) self.assertEqual(s.id, response["study_id"]) def test_set_all_categories_on_study(self): c1 = self.construct_category(name="c1") c2 = self.construct_category(name="c2") c3 = self.construct_category(name="c3") s = self.construct_study() sc_data = [ { "category_id": c1.id }, { "category_id": c2.id }, { "category_id": c3.id }, ] rv = self.app.post( '/api/study/%i/category' % s.id, data=self.jsonify(sc_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(3, len(response)) sc_data = [{"category_id": c1.id}] rv = self.app.post( '/api/study/%i/category' % s.id, data=self.jsonify(sc_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(1, len(response)) def test_remove_category_from_study(self): self.test_add_category_to_study() rv = self.app.delete('/api/study_category/%i' % 1) self.assert_success(rv) rv = self.app.get( '/api/study/%i/category' % 1, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(0, len(response)) def test_add_investigator_to_study(self): i = self.construct_investigator() s = self.construct_study() si_data = {"study_id": s.id, "investigator_id": i.id} rv = self.app.post( '/api/study_investigator', data=self.jsonify(si_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(i.id, response["investigator_id"]) self.assertEqual(s.id, response["study_id"]) def test_set_all_investigators_on_study(self): i1 = self.construct_investigator(name="person1") i2 = self.construct_investigator(name="person2") i3 = self.construct_investigator(name="person3") s = self.construct_study() si_data = [ {"investigator_id": i1.id}, {"investigator_id": i2.id}, {"investigator_id": i3.id}, ] rv = self.app.post( '/api/study/%i/investigator' % s.id, data=self.jsonify(si_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(3, len(response)) si_data = [{"investigator_id": i1.id}] rv = self.app.post( '/api/study/%i/investigator' % s.id, data=self.jsonify(si_data), content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(1, len(response)) def test_remove_investigator_from_study(self): self.test_add_investigator_to_study() rv = self.app.delete('/api/study_investigator/%i' % 1) self.assert_success(rv) rv = self.app.get( '/api/study/%i/investigator' % 1, content_type="application/json") self.assert_success(rv) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(0, len(response)) def test_study_inquiry_sends_email(self): message_count = len(TEST_MESSAGES) s = self.construct_study(title="The Best Study") u = self.construct_user() guardian = self.construct_participant(user=u, relationship=Relationship.self_guardian) dependent1 = self.construct_participant(user=u, relationship=Relationship.dependent) self.construct_contact_questionnaire(user=u, participant=guardian, phone="540-669-8855") self.construct_identification_questionnaire(user=u, participant=guardian, first_name="Fred") self.construct_identification_questionnaire(user=u, participant=dependent1, first_name="Fred", is_first_name_preferred=False, nickname="Zorba") data = {'user_id': u.id, 'study_id': s.id} rv = self.app.post('/api/study_inquiry', data=self.jsonify(data), follow_redirects=True, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) self.assertGreater(len(TEST_MESSAGES), message_count) self.assertEqual("Autism DRIVE: Study Inquiry Email", self.decode(TEST_MESSAGES[-1]['subject'])) logs = EmailLog.query.all() self.assertIsNotNone(logs[-1].tracking_code) def test_study_inquiry_creates_StudyUser(self): s = self.construct_study(title="The Best Study") u = self.construct_user() self.assertEquals(0, len(s.study_users)) guardian = self.construct_participant(user=u, relationship=Relationship.self_guardian) self.construct_contact_questionnaire(user=u, participant=guardian, phone="540-669-8855") self.construct_identification_questionnaire(user=u, participant=guardian, first_name="Fred") data = {'user_id': u.id, 'study_id': s.id} rv = self.app.post('/api/study_inquiry', data=self.jsonify(data), follow_redirects=True, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) self.assertEquals(1, len(s.study_users)) def test_study_inquiry_fails_without_valid_study_or_user(self): s = self.construct_study(title="The Best Study") u = self.construct_user() guardian = self.construct_participant(user=u, relationship=Relationship.self_guardian) self.construct_contact_questionnaire(user=u, participant=guardian, phone="540-669-8855") self.construct_identification_questionnaire(user=u, participant=guardian, first_name="Fred") data = {'user_id': u.id, 'study_id': 456} rv = self.app.post('/api/study_inquiry', data=self.jsonify(data), follow_redirects=True, content_type="application/json", headers=self.logged_in_headers()) self.assertEqual(400, rv.status_code) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(response['message'], 'Error in finding correct user and study to complete study inquiry') data = {'user_id': 456, 'study_id': s.id} rv = self.app.post('/api/study_inquiry', data=self.jsonify(data), follow_redirects=True, content_type="application/json", headers=self.logged_in_headers()) self.assertEqual(400, rv.status_code) response = json.loads(rv.get_data(as_text=True)) self.assertEqual(response['message'], 'Error in finding correct user and study to complete study inquiry') def construct_identification_questionnaire(self, relationship_to_participant='adoptFather', first_name='Karl', is_first_name_preferred=True, nickname=None, participant=None, user=None): iq = IdentificationQuestionnaire(relationship_to_participant=relationship_to_participant, first_name=first_name, is_first_name_preferred=is_first_name_preferred, nickname=nickname) if user is None: u = self.construct_user(email='[email protected]') iq.user_id = u.id else: u = user iq.user_id = u.id if participant is None: iq.participant_id = self.construct_participant(user=u, relationship=Relationship.dependent).id else: iq.participant_id = participant.id db.session.add(iq) db.session.commit() db_iq = db.session.query(IdentificationQuestionnaire).filter_by(participant_id=iq.participant_id).first() self.assertEqual(db_iq.nickname, iq.nickname) return db_iq def construct_contact_questionnaire(self, phone="123-456-7890", can_leave_voicemail=True, contact_times="whenever", email='[email protected]', participant=None, user=None): cq = ContactQuestionnaire(phone=phone, can_leave_voicemail=can_leave_voicemail, contact_times=contact_times, email=email) if user is None: u = self.construct_user(email='[email protected]') cq.user_id = u.id else: u = user cq.user_id = u.id if participant is None: cq.participant_id = self.construct_participant(user=u, relationship=Relationship.dependent).id else: cq.participant_id = participant.id db.session.add(cq) db.session.commit() db_cq = db.session.query(ContactQuestionnaire).filter_by(zip=cq.zip).first() self.assertEqual(db_cq.phone, cq.phone) return db_cq def test_delete_study_deletes_relationship(self): i = self.construct_investigator() s = self.construct_study() si = StudyInvestigator(investigator_id=i.id, study_id=s.id) db.session.add(si) db.session.commit() si_id = si.id rv = self.app.get('api/study_investigator/%i' % si_id, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) rv = self.app.delete('api/study/%i' % s.id, content_type="application/json", headers=self.logged_in_headers()) self.assert_success(rv) rv = self.app.get('api/study_investigator/%i' % si_id, content_type="application/json", headers=self.logged_in_headers()) self.assertEqual(404, rv.status_code)

2c49a1d6d4b4f9487afa74be01a9ab641d6bd449

py

Python

Krakatau-master/Krakatau/Krakatau/assembler/token_regexes.py

orneryhippo/saturdays

525ce086452e96a01d1762418c79d4c84fd605b5

Krakatau-master/Krakatau/Krakatau/assembler/token_regexes.py

orneryhippo/saturdays

525ce086452e96a01d1762418c79d4c84fd605b5

Krakatau-master/Krakatau/Krakatau/assembler/token_regexes.py

orneryhippo/saturdays

525ce086452e96a01d1762418c79d4c84fd605b5

DIRECTIVE = r'\.[a-z]+' WORD = r'(?:[a-zA-Z_$\(<]|\[[A-Z\[])[\w$;\/\[\(\)<>*+-]*' FOLLOWED_BY_WHITESPACE = r'(?=\s|\Z)' REF = r'\[[a-z0-9_:]+\]' LABEL_DEF = r'L\w+:' COMMENT = r';.*' # Match optional comment and at least one newline, followed by any number of empty/whitespace lines NEWLINES = r'(?:{})?\n\s*'.format(COMMENT) HEX_DIGIT = r'[0-9a-fA-F]' ESCAPE_SEQUENCE = r'''\\(?:U00(?:10|0{hd}){hd}{{4}}|u{hd}{{4}}|x{hd}{{2}}|[btnfr'"\\0-7])'''.format(hd=HEX_DIGIT) # See http://stackoverflow.com/questions/430759/regex-for-managing-escaped-characters-for-items-like-string-literals/5455705# 5455705 STRING_LITERAL = r''' [bB]?(?: " [^"\n\\]* # any number of unescaped characters (?:{es}[^"\n\\]* # escape sequence followed by 0 or more unescaped )* " | ' [^'\n\\]* # any number of unescaped characters (?:{es}[^'\n\\]* # escape sequence followed by 0 or more unescaped )* ' )'''.format(es=ESCAPE_SEQUENCE) # For error detection STRING_START = r'''[bB]?(?:"(?:[^"\\\n]|{es})*|'(?:[^'\\\n]|{es})*)'''.format(es=ESCAPE_SEQUENCE) # Careful here: | is not greedy so hex must come first INT_LITERAL = r'[+-]?(?:0[xX]{hd}+|[1-9][0-9]*|0)[lL]?'.format(hd=HEX_DIGIT) FLOAT_LITERAL = r'''(?: (?: [-+][Ii][Nn][Ff][Ii][Nn][Ii][Tt][Yy]| # Nan and Inf both have mandatory sign [-+][Nn][Aa][Nn] (?:<0[xX]{hd}+>)? # Optional suffix for nonstandard NaNs )| [-+]?(?: \d+\.\d+(?:[eE][+-]?\d+)?| # decimal float \d+[eE][+-]?\d+| # decimal float with no fraction (exponent mandatory) 0[xX]{hd}+(?:\.{hd}+)?[pP][+-]?\d+ # hexidecimal float ) )[fF]? '''.format(hd=HEX_DIGIT)