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def get_score(self): max_score = None score = None weight = self.weight #The old default was None, so set to 1 if it is the old default weight if weight is None: weight = 1 score_dict = { 'score': score, 'total': max_score, } if not self.use_for_single_location_local or not self.graded: return score_dict try: count_graded = self.student_data_for_location['count_graded'] count_required = self.student_data_for_location['count_required'] except: success, response = self.query_data_for_location(self.link_to_location) if not success: log.exception( "No instance data found and could not get data from controller for loc {0} student {1}".format( self.system.location.to_deprecated_string(), self.system.anonymous_student_id )) return None count_graded = response['count_graded'] count_required = response['count_required'] if count_required > 0 and count_graded >= count_required: # Ensures that once a student receives a final score for peer grading, that it does not change. self.student_data_for_location = response score = int(count_graded >= count_required and count_graded > 0) * float(weight) total = float(weight) score_dict['score'] = score score_dict['total'] = total return score_dict
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8
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def __init__(self, msg, reply_code=None, reply_text=None, method_sig=None, method_name=None): self.message = msg self.amqp_reply_code = reply_code self.amqp_reply_text = reply_text self.amqp_method_sig = method_sig self.method_name = method_name or '' if method_sig and not self.method_name: self.method_name = METHOD_NAME_MAP.get(method_sig, '') Exception.__init__(self, msg, reply_code, reply_text, method_sig, self.method_name)
21,403
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10
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class AMQPError(Exception): def __init__(self, msg, reply_code=None, reply_text=None, method_sig=None, method_name=None): self.message = msg self.amqp_reply_code = reply_code self.amqp_reply_text = reply_text self.amqp_method_sig = method_sig self.method_name = method_name or '' if method_sig and not self.method_name: self.method_name = METHOD_NAME_MAP.get(method_sig, '') Exception.__init__(self, msg, reply_code, reply_text, method_sig, self.method_name) def __str__(self): if self.amqp_reply_code: return '%s: (%s, %s, %s)' % ( self.message, self.amqp_reply_code, self.amqp_reply_text, self.amqp_method_sig) return self.message
21,404
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8
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def __init__(self): super(HebrewProber, self).__init__() self._final_char_logical_score = None self._final_char_visual_score = None self._prev = None self._before_prev = None self._logical_prober = None self._visual_prober = None self.reset()
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class HebrewProber(CharSetProber): # windows-1255 / ISO-8859-8 code points of interest FINAL_KAF = 0xea NORMAL_KAF = 0xeb FINAL_MEM = 0xed NORMAL_MEM = 0xee FINAL_NUN = 0xef NORMAL_NUN = 0xf0 FINAL_PE = 0xf3 NORMAL_PE = 0xf4 FINAL_TSADI = 0xf5 NORMAL_TSADI = 0xf6 # Minimum Visual vs Logical final letter score difference. # If the difference is below this, don't rely solely on the final letter score # distance. MIN_FINAL_CHAR_DISTANCE = 5 # Minimum Visual vs Logical model score difference. # If the difference is below this, don't rely at all on the model score # distance. MIN_MODEL_DISTANCE = 0.01 VISUAL_HEBREW_NAME = "ISO-8859-8" LOGICAL_HEBREW_NAME = "windows-1255" def __init__(self): super(HebrewProber, self).__init__() self._final_char_logical_score = None self._final_char_visual_score = None self._prev = None self._before_prev = None self._logical_prober = None self._visual_prober = None self.reset() def reset(self): self._final_char_logical_score = 0 self._final_char_visual_score = 0 # The two last characters seen in the previous buffer, # mPrev and mBeforePrev are initialized to space in order to simulate # a word delimiter at the beginning of the data self._prev = ' ' self._before_prev = ' ' # These probers are owned by the group prober. def set_model_probers(self, logicalProber, visualProber): self._logical_prober = logicalProber self._visual_prober = visualProber def is_final(self, c): return wrap_ord(c) in [self.FINAL_KAF, self.FINAL_MEM, self.FINAL_NUN, self.FINAL_PE, self.FINAL_TSADI] def is_non_final(self, c): # The normal Tsadi is not a good Non-Final letter due to words like # 'lechotet' (to chat) containing an apostrophe after the tsadi. This # apostrophe is converted to a space in FilterWithoutEnglishLetters # causing the Non-Final tsadi to appear at an end of a word even # though this is not the case in the original text. # The letters Pe and Kaf rarely display a related behavior of not being # a good Non-Final letter. Words like 'Pop', 'Winamp' and 'Mubarak' # for example legally end with a Non-Final Pe or Kaf. However, the # benefit of these letters as Non-Final letters outweighs the damage # since these words are quite rare. return wrap_ord(c) in [self.NORMAL_KAF, self.NORMAL_MEM, self.NORMAL_NUN, self.NORMAL_PE] def feed(self, byte_str): # Final letter analysis for logical-visual decision. # Look for evidence that the received buffer is either logical Hebrew # or visual Hebrew. # The following cases are checked: # 1) A word longer than 1 letter, ending with a final letter. This is # an indication that the text is laid out "naturally" since the # final letter really appears at the end. +1 for logical score. # 2) A word longer than 1 letter, ending with a Non-Final letter. In # normal Hebrew, words ending with Kaf, Mem, Nun, Pe or Tsadi, # should not end with the Non-Final form of that letter. Exceptions # to this rule are mentioned above in isNonFinal(). This is an # indication that the text is laid out backwards. +1 for visual # score # 3) A word longer than 1 letter, starting with a final letter. Final # letters should not appear at the beginning of a word. This is an # indication that the text is laid out backwards. +1 for visual # score. # # The visual score and logical score are accumulated throughout the # text and are finally checked against each other in GetCharSetName(). # No checking for final letters in the middle of words is done since # that case is not an indication for either Logical or Visual text. # # We automatically filter out all 7-bit characters (replace them with # spaces) so the word boundary detection works properly. [MAP] if self.state == ProbingState.not_me: # Both model probers say it's not them. No reason to continue. return ProbingState.not_me byte_str = self.filter_high_byte_only(byte_str) for cur in byte_str: if cur == ' ': # We stand on a space - a word just ended if self._before_prev != ' ': # next-to-last char was not a space so self._prev is not a # 1 letter word if self.is_final(self._prev): # case (1) [-2:not space][-1:final letter][cur:space] self._final_char_logical_score += 1 elif self.is_non_final(self._prev): # case (2) [-2:not space][-1:Non-Final letter][ # cur:space] self._final_char_visual_score += 1 else: # Not standing on a space if ((self._before_prev == ' ') and (self.is_final(self._prev)) and (cur != ' ')): # case (3) [-2:space][-1:final letter][cur:not space] self._final_char_visual_score += 1 self._before_prev = self._prev self._prev = cur # Forever detecting, till the end or until both model probers return # ProbingState.not_me (handled above) return ProbingState.detecting @property def charset_name(self): # Make the decision: is it Logical or Visual? # If the final letter score distance is dominant enough, rely on it. finalsub = self._final_char_logical_score - self._final_char_visual_score if finalsub >= self.MIN_FINAL_CHAR_DISTANCE: return self.LOGICAL_HEBREW_NAME if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE: return self.VISUAL_HEBREW_NAME # It's not dominant enough, try to rely on the model scores instead. modelsub = (self._logical_prober.get_confidence() - self._visual_prober.get_confidence()) if modelsub > self.MIN_MODEL_DISTANCE: return self.LOGICAL_HEBREW_NAME if modelsub < -self.MIN_MODEL_DISTANCE: return self.VISUAL_HEBREW_NAME # Still no good, back to final letter distance, maybe it'll save the # day. if finalsub < 0.0: return self.VISUAL_HEBREW_NAME # (finalsub > 0 - Logical) or (don't know what to do) default to # Logical. return self.LOGICAL_HEBREW_NAME @property def state(self): # Remain active as long as any of the model probers are active. if (self._logical_prober.state == ProbingState.not_me) and \ (self._visual_prober.state == ProbingState.not_me): return ProbingState.not_me return ProbingState.detecting
21,406
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9
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def charset_name(self): # Make the decision: is it Logical or Visual? # If the final letter score distance is dominant enough, rely on it. finalsub = self._final_char_logical_score - self._final_char_visual_score if finalsub >= self.MIN_FINAL_CHAR_DISTANCE: return self.LOGICAL_HEBREW_NAME if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE: return self.VISUAL_HEBREW_NAME # It's not dominant enough, try to rely on the model scores instead. modelsub = (self._logical_prober.get_confidence() - self._visual_prober.get_confidence()) if modelsub > self.MIN_MODEL_DISTANCE: return self.LOGICAL_HEBREW_NAME if modelsub < -self.MIN_MODEL_DISTANCE: return self.VISUAL_HEBREW_NAME # Still no good, back to final letter distance, maybe it'll save the # day. if finalsub < 0.0: return self.VISUAL_HEBREW_NAME # (finalsub > 0 - Logical) or (don't know what to do) default to # Logical. return self.LOGICAL_HEBREW_NAME
21,407
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11
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def feed(self, byte_str): # Final letter analysis for logical-visual decision. # Look for evidence that the received buffer is either logical Hebrew # or visual Hebrew. # The following cases are checked: # 1) A word longer than 1 letter, ending with a final letter. This is # an indication that the text is laid out "naturally" since the # final letter really appears at the end. +1 for logical score. # 2) A word longer than 1 letter, ending with a Non-Final letter. In # normal Hebrew, words ending with Kaf, Mem, Nun, Pe or Tsadi, # should not end with the Non-Final form of that letter. Exceptions # to this rule are mentioned above in isNonFinal(). This is an # indication that the text is laid out backwards. +1 for visual # score # 3) A word longer than 1 letter, starting with a final letter. Final # letters should not appear at the beginning of a word. This is an # indication that the text is laid out backwards. +1 for visual # score. # # The visual score and logical score are accumulated throughout the # text and are finally checked against each other in GetCharSetName(). # No checking for final letters in the middle of words is done since # that case is not an indication for either Logical or Visual text. # # We automatically filter out all 7-bit characters (replace them with # spaces) so the word boundary detection works properly. [MAP] if self.state == ProbingState.not_me: # Both model probers say it's not them. No reason to continue. return ProbingState.not_me byte_str = self.filter_high_byte_only(byte_str) for cur in byte_str: if cur == ' ': # We stand on a space - a word just ended if self._before_prev != ' ': # next-to-last char was not a space so self._prev is not a # 1 letter word if self.is_final(self._prev): # case (1) [-2:not space][-1:final letter][cur:space] self._final_char_logical_score += 1 elif self.is_non_final(self._prev): # case (2) [-2:not space][-1:Non-Final letter][ # cur:space] self._final_char_visual_score += 1 else: # Not standing on a space if ((self._before_prev == ' ') and (self.is_final(self._prev)) and (cur != ' ')): # case (3) [-2:space][-1:final letter][cur:not space] self._final_char_visual_score += 1 self._before_prev = self._prev self._prev = cur # Forever detecting, till the end or until both model probers return # ProbingState.not_me (handled above) return ProbingState.detecting
21,408
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_preferences", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_playbin", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_output", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_mixer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_visualizer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setup_message_processor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ex", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exception", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_process", "value": {"_type": "Name", "_fields": {"id": "process", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "ex", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "GError", "value": {"_type": "Name", "_fields": {"id": "gobject", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}], "name": "on_start", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def on_start(self): try: self._setup_preferences() self._setup_playbin() self._setup_output() self._setup_mixer() self._setup_visualizer() self._setup_message_processor() except gobject.GError as ex: logger.exception(ex) process.exit_process()
21,409
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def _setup_playbin(self): playbin = gst.element_factory_make('playbin2') playbin.set_property('flags', PLAYBIN_FLAGS) playbin.set_property('buffer-size', 2*1024*1024) playbin.set_property('buffer-duration', 2*gst.SECOND) self._connect(playbin, 'about-to-finish', self._on_about_to_finish) self._connect(playbin, 'notify::source', self._on_new_source) self._connect(playbin, 'source-setup', self._on_source_setup) self._playbin = playbin
21,410
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9
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def _reload_on_update(modify_times): if _reload_attempted: # We already tried to reload and it didn't work, so don't try again. return if process.task_id() is not None: # We're in a child process created by fork_processes. If child # processes restarted themselves, they'd all restart and then # all call fork_processes again. return for module in list(sys.modules.values()): # Some modules play games with sys.modules (e.g. email/__init__.py # in the standard library), and occasionally this can cause strange # failures in getattr. Just ignore anything that's not an ordinary # module. if not isinstance(module, types.ModuleType): continue path = getattr(module, "__file__", None) if not path: continue if path.endswith(".pyc") or path.endswith(".pyo"): path = path[:-1] _check_file(modify_times, path) for path in _watched_files: _check_file(modify_times, path)
21,411
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7
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def _on_about_to_finish(self, element): source, self._appsrc = self._appsrc, None if source is None: return self._appsrc_caps = None self._disconnect(source, 'need-data') self._disconnect(source, 'enough-data') self._disconnect(source, 'seek-data')
21,412
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class KeyMobileSitesSmoothPage(page_module.Page): def __init__(self, url, page_set, name='', tags=None, action_on_load_complete=False, extra_browser_args=None, shared_page_state_class=shared_page_state.SharedMobilePageState): if name == '': name = url super(KeyMobileSitesSmoothPage, self).__init__( url=url, page_set=page_set, name=name, tags=tags, extra_browser_args=extra_browser_args, shared_page_state_class=shared_page_state_class) self.action_on_load_complete = action_on_load_complete def RunPageInteractions(self, action_runner): if self.action_on_load_complete: action_runner.WaitForJavaScriptCondition( 'document.readyState == "complete"', timeout=30) _IssueMarkerAndScroll(action_runner)
21,413
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def _reload(): global _reload_attempted _reload_attempted = True for fn in _reload_hooks: fn() if hasattr(signal, "setitimer"): # Clear the alarm signal set by # ioloop.set_blocking_log_threshold so it doesn't fire # after the exec. signal.setitimer(signal.ITIMER_REAL, 0, 0) # sys.path fixes: see comments at top of file. If sys.path[0] is an empty # string, we were (probably) invoked with -m and the effective path # is about to change on re-exec. Add the current directory to $PYTHONPATH # to ensure that the new process sees the same path we did. path_prefix = '.' + os.pathsep if (sys.path[0] == '' and not os.environ.get("PYTHONPATH", "").startswith(path_prefix)): os.environ["PYTHONPATH"] = (path_prefix + os.environ.get("PYTHONPATH", "")) if not _has_execv: subprocess.Popen([sys.executable] + sys.argv) sys.exit(0) else: try: os.execv(sys.executable, [sys.executable] + sys.argv) except OSError: # Mac OS X versions prior to 10.6 do not support execv in # a process that contains multiple threads. Instead of # re-executing in the current process, start a new one # and cause the current process to exit. This isn't # ideal since the new process is detached from the parent # terminal and thus cannot easily be killed with ctrl-C, # but it's better than not being able to autoreload at # all. # Unfortunately the errno returned in this case does not # appear to be consistent, so we can't easily check for # this error specifically. os.spawnv(os.P_NOWAIT, sys.executable, [sys.executable] + sys.argv) # At this point the IOLoop has been closed and finally # blocks will experience errors if we allow the stack to # unwind, so just exit uncleanly. os._exit(0)
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8
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def __init__(self, url, page_set, name='', tags=None, action_on_load_complete=False, extra_browser_args=None, shared_page_state_class=shared_page_state.SharedMobilePageState): if name == '': name = url super(KeyMobileSitesSmoothPage, self).__init__( url=url, page_set=page_set, name=name, tags=tags, extra_browser_args=extra_browser_args, shared_page_state_class=shared_page_state_class) self.action_on_load_complete = action_on_load_complete
21,415
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def RunNavigateSteps(self, action_runner): super(TheVergeArticlePage, self).RunNavigateSteps(action_runner) action_runner.WaitForJavaScriptCondition( 'window.Chorus !== undefined &&' 'window.Chorus.Comments !== undefined &&' 'window.Chorus.Comments.Json !== undefined &&' '(window.Chorus.Comments.loaded ||' ' window.Chorus.Comments.Json.load_comments())')
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8
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def RunNavigateSteps(self, action_runner): super(LinkedInPage, self).RunNavigateSteps(action_runner) action_runner.WaitForJavaScriptCondition( 'document.getElementById("profile-view-scroller") !== null') action_runner.ScrollPage() super(LinkedInPage, self).RunNavigateSteps(action_runner) action_runner.WaitForJavaScriptCondition( 'document.getElementById("profile-view-scroller") !== null')
21,417
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10
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"extra_browser_args", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AddStory", "value": {"_type": "Name", "_fields": {"id": "page_set", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "URLS_LIST", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "page_url", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "page_name", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "AddPagesToPageSet", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def AddPagesToPageSet( page_set, shared_page_state_class=shared_page_state.SharedMobilePageState, name_func=lambda name: name, extra_browser_args=None): # Add pages with predefined classes that contain custom navigation logic. for page_class, page_name in PREDEFINED_PAGE_CLASSES: page_set.AddStory( page_class( page_set=page_set, shared_page_state_class=shared_page_state_class, name=name_func(page_name), extra_browser_args=extra_browser_args)) # Add pages with custom tags. for page_url, page_name in FASTPATH_URLS: page_set.AddStory( KeyMobileSitesSmoothPage( url=page_url, page_set=page_set, shared_page_state_class=shared_page_state_class, name=name_func(page_name), tags=['fastpath'], extra_browser_args=extra_browser_args)) # Why: Wikipedia page with a delayed scroll start page_set.AddStory( KeyMobileSitesSmoothPage( url='http://en.wikipedia.org/wiki/Wikipedia', page_set=page_set, shared_page_state_class=shared_page_state_class, name=name_func('wikipedia_delayed_scroll_start'), action_on_load_complete=True, extra_browser_args=extra_browser_args)) # Add simple pages with no custom navigation logic or tags. for page_url, page_name in URLS_LIST: page_set.AddStory( KeyMobileSitesSmoothPage( url=page_url, page_set=page_set, shared_page_state_class=shared_page_state_class, name=name_func(page_name), extra_browser_args=extra_browser_args))
21,418
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"targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "PIWIK_HOST", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ENABLE_EMAIL_SUBSCRIPTIONS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_original_enable_email_subscriptions", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "ENABLE_EMAIL_SUBSCRIPTIONS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BCRYPT_LOG_ROUNDS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_original_bcrypt_log_rounds", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "BCRYPT_LOG_ROUNDS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "teardown_database", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "database", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_current_object", "value": {"_type": "Name", "_fields": {"id": "database_proxy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MODELS", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "models", "value": {"_type": "Name", "_fields": {"id": "website", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MongoStorage", "value": {"_type": "Name", "_fields": {"id": "storage", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set_up_storage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "addons", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ADDONS_AVAILABLE", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "database_proxy", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "db", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "setUpClass", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUpClass(cls): super(DbTestCase, cls).setUpClass() for (short_name, options) in cls.ADDONS_UNDER_TEST.iteritems(): cls.__ADDONS_UNDER_TEST.append( init_mock_addon(short_name, **options) ) cls._original_db_name = settings.DB_NAME settings.DB_NAME = cls.DB_NAME cls._original_piwik_host = settings.PIWIK_HOST settings.PIWIK_HOST = None cls._original_enable_email_subscriptions = settings.ENABLE_EMAIL_SUBSCRIPTIONS settings.ENABLE_EMAIL_SUBSCRIPTIONS = False cls._original_bcrypt_log_rounds = settings.BCRYPT_LOG_ROUNDS settings.BCRYPT_LOG_ROUNDS = 1 teardown_database(database=database_proxy._get_current_object()) # TODO: With `database` as a `LocalProxy`, we should be able to simply # this logic set_up_storage( website.models.MODELS, storage.MongoStorage, addons=settings.ADDONS_AVAILABLE, ) cls.db = database_proxy
21,419
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "client", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "database", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "client_proxy", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "database", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "database_proxy", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "database", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "database", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rollback", "value": {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_error_message", "value": {"_type": "Name", "_fields": {"id": "utils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": null, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NO_TRANSACTION_ERROR", "value": {"_type": "Name", "_fields": {"id": "messages", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "name": "error", "type": {"_type": "Name", "_fields": {"id": "OperationFailure", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "database", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "drop_database", "value": {"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "teardown_database", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def teardown_database(client=None, database=None): client = client or client_proxy database = database or database_proxy try: commands.rollback(database) except OperationFailure as error: message = utils.get_error_message(error) if messages.NO_TRANSACTION_ERROR not in message: raise client.drop_database(database)
21,420
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9
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def setUp(self): super(AppTestCase, self).setUp() self.app = TestApp(test_app) self.context = test_app.test_request_context() self.context.push() with self.context: g._celery_tasks = [] for signal in self.DISCONNECTED_SIGNALS: for receiver in self.DISCONNECTED_SIGNALS[signal]: signal.disconnect(receiver)
21,421
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9
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def tearDownClass(cls): super(DbTestCase, cls).tearDownClass() for addon in cls.__ADDONS_UNDER_TEST: remove_mock_addon(addon) teardown_database(database=database_proxy._get_current_object()) settings.DB_NAME = cls._original_db_name settings.PIWIK_HOST = cls._original_piwik_host settings.ENABLE_EMAIL_SUBSCRIPTIONS = cls._original_enable_email_subscriptions settings.BCRYPT_LOG_ROUNDS = cls._original_bcrypt_log_rounds
21,422
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setUpClass", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "MockRequestTestCase", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "enable", "value": {"_type": "Name", "_fields": {"id": "httpretty", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "method", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ".*"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compile", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "register_uri", "value": {"_type": "Name", "_fields": {"id": "httpretty", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "body", "value": {"_type": "Name", "_fields": {"id": "kill", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "priority", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}]}}}}], "iter": {"_type": "Name", "_fields": {"id": "methods", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "method", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "setUpClass", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUpClass(cls): super(MockRequestTestCase, cls).setUpClass() httpretty.enable() for method in methods: httpretty.register_uri( method, re.compile(r'.*'), body=kill, priority=-1, )
21,423
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10
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class MockRequestTestCase(unittest.TestCase): @classmethod def setUpClass(cls): super(MockRequestTestCase, cls).setUpClass() httpretty.enable() for method in methods: httpretty.register_uri( method, re.compile(r'.*'), body=kill, priority=-1, ) def tearDown(self): super(MockRequestTestCase, self).tearDown() httpretty.reset() @classmethod def tearDownClass(cls): super(MockRequestTestCase, cls).tearDownClass() httpretty.reset() httpretty.disable()
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12
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def handle_default_options(self, argv): acc = [] broker = None for i, arg in enumerate(argv): if "--settings=" in arg: _, settings_module = arg.split("=") os.environ["DJANGO_SETTINGS_MODULE"] = settings_module elif "--pythonpath=" in arg: _, pythonpath = arg.split("=") sys.path.insert(0, pythonpath) elif "--broker=" in arg: _, broker = arg.split("=") elif arg == "-b": broker = argv[i + 1] else: acc.append(arg) if broker: self.set_broker(broker) return argv if self.keep_base_opts else acc
21,425
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"skip_opts", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "options", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}}}], "name": "option_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "property", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "CeleryCommand", "bases": [{"_type": "Name", "_fields": {"id": "BaseCommand", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class CeleryCommand(BaseCommand): options = BaseCommand.option_list skip_opts = ["--app", "--loader", "--config"] keep_base_opts = False def get_version(self): return "celery %s" % (celery.__version__) def execute(self, *args, **options): broker = options.get("broker") if broker: self.set_broker(broker) super(CeleryCommand, self).execute(*args, **options) def set_broker(self, broker): os.environ["CELERY_BROKER_URL"] = broker def run_from_argv(self, argv): self.handle_default_options(argv[2:]) return super(CeleryCommand, self).run_from_argv(argv) def handle_default_options(self, argv): acc = [] broker = None for i, arg in enumerate(argv): if "--settings=" in arg: _, settings_module = arg.split("=") os.environ["DJANGO_SETTINGS_MODULE"] = settings_module elif "--pythonpath=" in arg: _, pythonpath = arg.split("=") sys.path.insert(0, pythonpath) elif "--broker=" in arg: _, broker = arg.split("=") elif arg == "-b": broker = argv[i + 1] else: acc.append(arg) if broker: self.set_broker(broker) return argv if self.keep_base_opts else acc def die(self, msg): sys.stderr.write(msg) sys.stderr.write("\n") sys.exit() @property def option_list(self): return [x for x in self.options if x._long_opts[0] not in self.skip_opts]
21,426
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10
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/file.txt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1234567}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getDocId", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/svn/b^/file.txt@1234567"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": 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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testGetDocId", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ReposSolrTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ReposSolrTest(unittest.TestCase): def testGetDocId(self): opt = OptionParser().parse_args([])[0] opt.base = '' opt.prefix = '' s = ReposSolr(opt) self.assertEqual(s.getDocId('/file.txt', None), '^/file.txt') opt.base = 'b' self.assertEqual(s.getDocId( '/file.txt', None), 'b^/file.txt') opt.prefix = '/svn/' self.assertEqual(s.getDocId( '/file.txt', None), '/svn/b^/file.txt') self.assertEqual(s.getDocId( '/file.txt', 1234567), '/svn/b^/file.txt@1234567') opt.base = '' self.assertEqual(s.getDocId( '/file.txt', None), '/svn/^/file.txt')
21,427
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def _decode_event_stream(decoder, eventid_typeid, event_types, decode_user_id): # Decodes events prefixed with a gameloop and possibly userid gameloop = 0 while not decoder.done(): start_bits = decoder.used_bits() # decode the gameloop delta before each event delta = _varuint32_value(decoder.instance(svaruint32_typeid)) gameloop += delta # decode the userid before each event if decode_user_id: userid = decoder.instance(replay_userid_typeid) # decode the event id eventid = decoder.instance(eventid_typeid) typeid, typename = event_types.get(eventid, (None, None)) if typeid is None: raise CorruptedError('eventid({}) at {}'.format(eventid, decoder)) # decode the event struct instance event = decoder.instance(typeid) event['_event'] = typename event['_eventid'] = eventid # insert gameloop and userid event['_gameloop'] = gameloop if decode_user_id: event['_userid'] = userid # the next event is byte aligned decoder.byte_align() # insert bits used in stream event['_bits'] = decoder.used_bits() - start_bits yield event
21,428
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"_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "/svn/"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "prefix", "value": {"_type": "Name", "_fields": {"id": "opt", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/file.txt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getDocId", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/svn/b^/file.txt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/file.txt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1234567}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getDocId", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/svn/b^/file.txt@1234567"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "base", "value": {"_type": "Name", "_fields": {"id": "opt", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/file.txt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getDocId", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/svn/^/file.txt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testGetDocId", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testGetDocId(self): opt = OptionParser().parse_args([])[0] opt.base = '' opt.prefix = '' s = ReposSolr(opt) self.assertEqual(s.getDocId('/file.txt', None), '^/file.txt') opt.base = 'b' self.assertEqual(s.getDocId( '/file.txt', None), 'b^/file.txt') opt.prefix = '/svn/' self.assertEqual(s.getDocId( '/file.txt', None), '/svn/b^/file.txt') self.assertEqual(s.getDocId( '/file.txt', 1234567), '/svn/b^/file.txt@1234567') opt.base = '' self.assertEqual(s.getDocId( '/file.txt', None), '/svn/^/file.txt')
21,429
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10
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class _IterationGuard: # This context manager registers itself in the current iterators of the # weak container, such as to delay all removals until the context manager # exits. # This technique should be relatively thread-safe (since sets are). def __init__(self, weakcontainer): # Don't create cycles self.weakcontainer = ref(weakcontainer) def __enter__(self): w = self.weakcontainer() if w is not None: w._iterating.add(self) return self def __exit__(self, e, t, b): w = self.weakcontainer() if w is not None: s = w._iterating s.remove(self) if not s: w._commit_removals()
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11
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def __init__(self, data=None): self.data = set() def _remove(item, selfref=ref(self)): self = selfref() if self is not None: if self._iterating: self._pending_removals.append(item) else: self.data.discard(item) self._remove = _remove # A list of keys to be removed self._pending_removals = [] self._iterating = set() if data is not None: self.update(data)
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class WeakSet: def __init__(self, data=None): self.data = set() def _remove(item, selfref=ref(self)): self = selfref() if self is not None: if self._iterating: self._pending_removals.append(item) else: self.data.discard(item) self._remove = _remove # A list of keys to be removed self._pending_removals = [] self._iterating = set() if data is not None: self.update(data) def _commit_removals(self): l = self._pending_removals discard = self.data.discard while l: discard(l.pop()) def __iter__(self): with _IterationGuard(self): for itemref in self.data: item = itemref() if item is not None: yield item def __len__(self): return len(self.data) - len(self._pending_removals) def __contains__(self, item): try: wr = ref(item) except TypeError: return False return wr in self.data def __reduce__(self): return (self.__class__, (list(self),), getattr(self, '__dict__', None)) def add(self, item): if self._pending_removals: self._commit_removals() self.data.add(ref(item, self._remove)) def clear(self): if self._pending_removals: self._commit_removals() self.data.clear() def copy(self): return self.__class__(self) def pop(self): if self._pending_removals: self._commit_removals() while True: try: itemref = self.data.pop() except KeyError: raise KeyError('pop from empty WeakSet') item = itemref() if item is not None: return item def remove(self, item): if self._pending_removals: self._commit_removals() self.data.remove(ref(item)) def discard(self, item): if self._pending_removals: self._commit_removals() self.data.discard(ref(item)) def update(self, other): if self._pending_removals: self._commit_removals() for element in other: self.add(element) def __ior__(self, other): self.update(other) return self def difference(self, other): newset = self.copy() newset.difference_update(other) return newset __sub__ = difference def difference_update(self, other): self.__isub__(other) def __isub__(self, other): if self._pending_removals: self._commit_removals() if self is other: self.data.clear() else: self.data.difference_update(ref(item) for item in other) return self def intersection(self, other): return self.__class__(item for item in other if item in self) __and__ = intersection def intersection_update(self, other): self.__iand__(other) def __iand__(self, other): if self._pending_removals: self._commit_removals() self.data.intersection_update(ref(item) for item in other) return self def issubset(self, other): return self.data.issubset(ref(item) for item in other) __le__ = issubset def __lt__(self, other): return self.data < set(ref(item) for item in other) def issuperset(self, other): return self.data.issuperset(ref(item) for item in other) __ge__ = issuperset def __gt__(self, other): return self.data > set(ref(item) for item in other) def __eq__(self, other): if not isinstance(other, self.__class__): return NotImplemented return self.data == set(ref(item) for item in other) def symmetric_difference(self, other): newset = self.copy() newset.symmetric_difference_update(other) return newset __xor__ = symmetric_difference def symmetric_difference_update(self, other): self.__ixor__(other) def __ixor__(self, other): if self._pending_removals: self._commit_removals() if self is other: self.data.clear() else: self.data.symmetric_difference_update(ref(item, self._remove) for item in other) return self def union(self, other): return self.__class__(e for s in (self, other) for e in s) __or__ = union def isdisjoint(self, other): return len(self.intersection(other)) == 0
21,432
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_commit_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_pending_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "While", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pop", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "itemref", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "pop from empty WeakSet"}}], "func": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "itemref", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "name": "pop", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def pop(self): if self._pending_removals: self._commit_removals() while True: try: itemref = self.data.pop() except KeyError: raise KeyError('pop from empty WeakSet') item = itemref() if item is not None: return item
21,433
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_commit_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_pending_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "clear", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "ref", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "difference_update", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__isub__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __isub__(self, other): if self._pending_removals: self._commit_removals() if self is other: self.data.clear() else: self.data.difference_update(ref(item) for item in other) return self
21,434
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def _run(self, running, schedule_node, complete_node, get_next_nodes): def schedule(nodes, not_done): for node in nodes: future = schedule_node(node) if future is not None: not_done.append(future) else: schedule(get_next_nodes(node), not_done) failures = [] not_done = [] schedule(get_next_nodes(), not_done) was_suspended = False while not_done: # NOTE(imelnikov): if timeout occurs before any of futures # completes, done list will be empty and we'll just go # for next iteration. done, not_done = self._task_action.wait_for_any( not_done, _WAITING_TIMEOUT) next_nodes = [] for future in done: # NOTE(harlowja): event will be used in the future for smart # reversion (ignoring it for now). node, _event, result = future.result() complete_node(node, result) if isinstance(result, misc.Failure): failures.append(result) else: next_nodes.extend(get_next_nodes(node)) if next_nodes: if running() and not failures: schedule(next_nodes, not_done) else: # NOTE(imelnikov): engine stopped while there were # still some tasks to do, so we either failed # or were suspended. was_suspended = True misc.Failure.reraise_if_any(failures) return was_suspended
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_commit_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_pending_removals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "clear", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_remove", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "ref", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "symmetric_difference_update", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__ixor__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __ixor__(self, other): if self._pending_removals: self._commit_removals() if self is other: self.data.clear() else: self.data.symmetric_difference_update(ref(item, self._remove) for item in other) return self
21,436
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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "thumbnail"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "duration"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "formats"}}], "values": [{"_type": "Name", "_fields": {"id": "video_guid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "duration", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "_real_extract", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _real_extract(self, url): mobj = re.match(self._VALID_URL, url) video_id = mobj.group('id') page = self._download_webpage(url, video_id, 'Downloading page') video_guid = self._html_search_regex( r'<meta property="og:video" content="https?://(?:www\.)?newstube\.ru/freshplayer\.swf\?guid=(?P<guid>[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12})', page, 'video GUID') player = self._download_xml( 'http://p.newstube.ru/v2/player.asmx/GetAutoPlayInfo6?state=&url=%s&sessionId=&id=%s&placement=profile&location=n2' % (url, video_guid), video_guid, 'Downloading player XML') def ns(s): return s.replace('/', '/%(ns)s') % {'ns': '{http://app1.newstube.ru/N2SiteWS/player.asmx}'} error_message = player.find(ns('./ErrorMessage')) if error_message is not None: raise ExtractorError('%s returned error: %s' % (self.IE_NAME, error_message.text), expected=True) session_id = player.find(ns('./SessionId')).text media_info = player.find(ns('./Medias/MediaInfo')) title = media_info.find(ns('./Name')).text description = self._og_search_description(page) thumbnail = media_info.find(ns('./KeyFrame')).text duration = int(media_info.find(ns('./Duration')).text) / 1000.0 formats = [] for stream_info in media_info.findall(ns('./Streams/StreamInfo')): media_location = stream_info.find(ns('./MediaLocation')) if media_location is None: continue server = media_location.find(ns('./Server')).text app = media_location.find(ns('./App')).text media_id = stream_info.find(ns('./Id')).text quality_id = stream_info.find(ns('./QualityId')).text name = stream_info.find(ns('./Name')).text width = int(stream_info.find(ns('./Width')).text) height = int(stream_info.find(ns('./Height')).text) formats.append({ 'url': 'rtmp://%s/%s' % (server, app), 'app': app, 'play_path': '01/%s' % video_guid.upper(), 'rtmp_conn': ['S:%s' % session_id, 'S:%s' % media_id, 'S:n2'], 'page_url': url, 'ext': 'flv', 'format_id': quality_id, 'format_note': name, 'width': width, 'height': height, }) self._sort_formats(formats) return { 'id': video_guid, 'title': title, 'description': description, 'thumbnail': thumbnail, 'duration': duration, 'formats': formats, }
21,437
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"iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "./Streams/StreamInfo"}}], "func": {"_type": "Name", "_fields": {"id": "ns", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findall", "value": {"_type": "Name", "_fields": {"id": "media_info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "stream_info", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sort_formats", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "thumbnail"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "duration"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "formats"}}], "values": [{"_type": "Name", "_fields": {"id": "video_guid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "duration", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "_real_extract", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NewstubeIE", "bases": [{"_type": "Name", "_fields": {"id": "InfoExtractor", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class NewstubeIE(InfoExtractor): _VALID_URL = r'https?://(?:www\.)?newstube\.ru/media/(?P<id>.+)' _TEST = { 'url': 'http://www.newstube.ru/media/telekanal-cnn-peremestil-gorod-slavyansk-v-krym', 'info_dict': { 'id': '728e0ef2-e187-4012-bac0-5a081fdcb1f6', 'ext': 'flv', 'title': 'Телеканал CNN переместил город Славянск в Крым', 'description': 'md5:419a8c9f03442bc0b0a794d689360335', 'duration': 31.05, }, 'params': { # rtmp download 'skip_download': True, }, } def _real_extract(self, url): mobj = re.match(self._VALID_URL, url) video_id = mobj.group('id') page = self._download_webpage(url, video_id, 'Downloading page') video_guid = self._html_search_regex( r'<meta property="og:video" content="https?://(?:www\.)?newstube\.ru/freshplayer\.swf\?guid=(?P<guid>[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12})', page, 'video GUID') player = self._download_xml( 'http://p.newstube.ru/v2/player.asmx/GetAutoPlayInfo6?state=&url=%s&sessionId=&id=%s&placement=profile&location=n2' % (url, video_guid), video_guid, 'Downloading player XML') def ns(s): return s.replace('/', '/%(ns)s') % {'ns': '{http://app1.newstube.ru/N2SiteWS/player.asmx}'} error_message = player.find(ns('./ErrorMessage')) if error_message is not None: raise ExtractorError('%s returned error: %s' % (self.IE_NAME, error_message.text), expected=True) session_id = player.find(ns('./SessionId')).text media_info = player.find(ns('./Medias/MediaInfo')) title = media_info.find(ns('./Name')).text description = self._og_search_description(page) thumbnail = media_info.find(ns('./KeyFrame')).text duration = int(media_info.find(ns('./Duration')).text) / 1000.0 formats = [] for stream_info in media_info.findall(ns('./Streams/StreamInfo')): media_location = stream_info.find(ns('./MediaLocation')) if media_location is None: continue server = media_location.find(ns('./Server')).text app = media_location.find(ns('./App')).text media_id = stream_info.find(ns('./Id')).text quality_id = stream_info.find(ns('./QualityId')).text name = stream_info.find(ns('./Name')).text width = int(stream_info.find(ns('./Width')).text) height = int(stream_info.find(ns('./Height')).text) formats.append({ 'url': 'rtmp://%s/%s' % (server, app), 'app': app, 'play_path': '01/%s' % video_guid.upper(), 'rtmp_conn': ['S:%s' % session_id, 'S:%s' % media_id, 'S:n2'], 'page_url': url, 'ext': 'flv', 'format_id': quality_id, 'format_note': name, 'width': width, 'height': height, }) self._sort_formats(formats) return { 'id': video_guid, 'title': title, 'description': description, 'thumbnail': thumbnail, 'duration': duration, 'formats': formats, }
21,438
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9
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class BaseTests: # Write a content (str or bytes) to temp file, and return the # temp file's name. def writeTmp(self, content, *, mode='w'): # opening in text mode is the default fd, name = tempfile.mkstemp() self.addCleanup(support.unlink, name) with open(fd, mode) as f: f.write(content) return name
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10
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[]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "project", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SYMBOLIC", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SecurityCookieInit", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "windows", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "simos", "value": {"_type": "Name", "_fields": {"id": "angr", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, {"_type": "Name", "_fields": {"id": "compare_symbolic", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "check_value", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank_state", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "factory", "value": {"_type": "Name", "_fields": {"id": "project", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_raises", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tools", "value": {"_type": "Name", "_fields": {"id": "nose", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "security_cookie_init", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}}}], "name": "test_security_cookie_init", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_security_cookie_init(): project = angr.Project(os.path.join(test_location, 'i386', 'test_arrays.exe')) check_value(project, angr.simos.windows.SecurityCookieInit.NONE, compare_none) check_value(project, angr.simos.windows.SecurityCookieInit.RANDOM, compare_random) check_value(project, angr.simos.windows.SecurityCookieInit.STATIC, compare_static) check_value(project, angr.simos.windows.SecurityCookieInit.SYMBOLIC, compare_symbolic) nose.tools.assert_raises(TypeError, project.factory.blank_state, security_cookie_init=1)
21,440
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"ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "hint", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "name": "readlines", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Pass", "_fields": {}}], "name": "close", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "LineReader", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class LineReader: def __init__(self): self._linesread = [] @property def linesread(self): try: return self._linesread[:] finally: self._linesread = [] def openhook(self, filename, mode): self.it = iter(filename.splitlines(True)) return self def readline(self, size=None): line = next(self.it, '') self._linesread.append(line) return line def readlines(self, hint=-1): lines = [] size = 0 while True: line = self.readline() if not line: return lines lines.append(line) size += len(line) if size >= hint: return lines def close(self): pass
21,441
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8
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def readlines(self, hint=-1): lines = [] size = 0 while True: line = self.readline() if not line: return lines lines.append(line) size += len(line) if size >= hint: return lines
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{"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "buffer_size_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "BufferSizesTests", "bases": [{"_type": "Name", "_fields": {"id": "BaseTests", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class BufferSizesTests(BaseTests, unittest.TestCase): def test_buffer_sizes(self): # First, run the tests with default and teeny buffer size. for round, bs in (0, 0), (1, 30): t1 = self.writeTmp(''.join("Line %s of file 1\n" % (i+1) for i in range(15))) t2 = self.writeTmp(''.join("Line %s of file 2\n" % (i+1) for i in range(10))) t3 = self.writeTmp(''.join("Line %s of file 3\n" % (i+1) for i in range(5))) t4 = self.writeTmp(''.join("Line %s of file 4\n" % (i+1) for i in range(1))) if bs: with self.assertWarns(DeprecationWarning): self.buffer_size_test(t1, t2, t3, t4, bs, round) else: self.buffer_size_test(t1, t2, t3, t4, bs, round) def buffer_size_test(self, t1, t2, t3, t4, bs=0, round=0): pat = re.compile(r'LINE (\d+) OF FILE (\d+)') start = 1 + round*6 if verbose: print('%s. Simple iteration (bs=%s)' % (start+0, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) lines = list(fi) fi.close() self.assertEqual(len(lines), 31) self.assertEqual(lines[4], 'Line 5 of file 1\n') self.assertEqual(lines[30], 'Line 1 of file 4\n') self.assertEqual(fi.lineno(), 31) self.assertEqual(fi.filename(), t4) if verbose: print('%s. Status variables (bs=%s)' % (start+1, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) s = "x" while s and s != 'Line 6 of file 2\n': s = fi.readline() self.assertEqual(fi.filename(), t2) self.assertEqual(fi.lineno(), 21) self.assertEqual(fi.filelineno(), 6) self.assertFalse(fi.isfirstline()) self.assertFalse(fi.isstdin()) if verbose: print('%s. Nextfile (bs=%s)' % (start+2, bs)) fi.nextfile() self.assertEqual(fi.readline(), 'Line 1 of file 3\n') self.assertEqual(fi.lineno(), 22) fi.close() if verbose: print('%s. Stdin (bs=%s)' % (start+3, bs)) fi = FileInput(files=(t1, t2, t3, t4, '-'), bufsize=bs) savestdin = sys.stdin try: sys.stdin = StringIO("Line 1 of stdin\nLine 2 of stdin\n") lines = list(fi) self.assertEqual(len(lines), 33) self.assertEqual(lines[32], 'Line 2 of stdin\n') self.assertEqual(fi.filename(), '<stdin>') fi.nextfile() finally: sys.stdin = savestdin if verbose: print('%s. Boundary conditions (bs=%s)' % (start+4, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) self.assertEqual(fi.lineno(), 0) self.assertEqual(fi.filename(), None) fi.nextfile() self.assertEqual(fi.lineno(), 0) self.assertEqual(fi.filename(), None) if verbose: print('%s. Inplace (bs=%s)' % (start+5, bs)) savestdout = sys.stdout try: fi = FileInput(files=(t1, t2, t3, t4), inplace=1, bufsize=bs) for line in fi: line = line[:-1].upper() print(line) fi.close() finally: sys.stdout = savestdout fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) for line in fi: self.assertEqual(line[-1], '\n') m = pat.match(line[:-1]) self.assertNotEqual(m, None) self.assertEqual(int(m.group(1)), fi.filelineno()) fi.close()
21,443
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11
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def test_buffer_sizes(self): # First, run the tests with default and teeny buffer size. for round, bs in (0, 0), (1, 30): t1 = self.writeTmp(''.join("Line %s of file 1\n" % (i+1) for i in range(15))) t2 = self.writeTmp(''.join("Line %s of file 2\n" % (i+1) for i in range(10))) t3 = self.writeTmp(''.join("Line %s of file 3\n" % (i+1) for i in range(5))) t4 = self.writeTmp(''.join("Line %s of file 4\n" % (i+1) for i in range(1))) if bs: with self.assertWarns(DeprecationWarning): self.buffer_size_test(t1, t2, t3, t4, bs, round) else: self.buffer_size_test(t1, t2, t3, t4, bs, round)
21,444
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8
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def test_zero_byte_files(self): t1 = self.writeTmp("") t2 = self.writeTmp("") t3 = self.writeTmp("The only line there is.\n") t4 = self.writeTmp("") fi = FileInput(files=(t1, t2, t3, t4)) line = fi.readline() self.assertEqual(line, 'The only line there is.\n') self.assertEqual(fi.lineno(), 1) self.assertEqual(fi.filelineno(), 1) self.assertEqual(fi.filename(), t3) line = fi.readline() self.assertFalse(line) self.assertEqual(fi.lineno(), 1) self.assertEqual(fi.filelineno(), 0) self.assertEqual(fi.filename(), t4) fi.close()
21,445
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def buffer_size_test(self, t1, t2, t3, t4, bs=0, round=0): pat = re.compile(r'LINE (\d+) OF FILE (\d+)') start = 1 + round*6 if verbose: print('%s. Simple iteration (bs=%s)' % (start+0, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) lines = list(fi) fi.close() self.assertEqual(len(lines), 31) self.assertEqual(lines[4], 'Line 5 of file 1\n') self.assertEqual(lines[30], 'Line 1 of file 4\n') self.assertEqual(fi.lineno(), 31) self.assertEqual(fi.filename(), t4) if verbose: print('%s. Status variables (bs=%s)' % (start+1, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) s = "x" while s and s != 'Line 6 of file 2\n': s = fi.readline() self.assertEqual(fi.filename(), t2) self.assertEqual(fi.lineno(), 21) self.assertEqual(fi.filelineno(), 6) self.assertFalse(fi.isfirstline()) self.assertFalse(fi.isstdin()) if verbose: print('%s. Nextfile (bs=%s)' % (start+2, bs)) fi.nextfile() self.assertEqual(fi.readline(), 'Line 1 of file 3\n') self.assertEqual(fi.lineno(), 22) fi.close() if verbose: print('%s. Stdin (bs=%s)' % (start+3, bs)) fi = FileInput(files=(t1, t2, t3, t4, '-'), bufsize=bs) savestdin = sys.stdin try: sys.stdin = StringIO("Line 1 of stdin\nLine 2 of stdin\n") lines = list(fi) self.assertEqual(len(lines), 33) self.assertEqual(lines[32], 'Line 2 of stdin\n') self.assertEqual(fi.filename(), '<stdin>') fi.nextfile() finally: sys.stdin = savestdin if verbose: print('%s. Boundary conditions (bs=%s)' % (start+4, bs)) fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) self.assertEqual(fi.lineno(), 0) self.assertEqual(fi.filename(), None) fi.nextfile() self.assertEqual(fi.lineno(), 0) self.assertEqual(fi.filename(), None) if verbose: print('%s. Inplace (bs=%s)' % (start+5, bs)) savestdout = sys.stdout try: fi = FileInput(files=(t1, t2, t3, t4), inplace=1, bufsize=bs) for line in fi: line = line[:-1].upper() print(line) fi.close() finally: sys.stdout = savestdout fi = FileInput(files=(t1, t2, t3, t4), bufsize=bs) for line in fi: self.assertEqual(line[-1], '\n') m = pat.match(line[:-1]) self.assertNotEqual(m, None) self.assertEqual(int(m.group(1)), fi.filelineno()) fi.close()
21,446
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8
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def test_files_that_dont_end_with_newline(self): t1 = self.writeTmp("A\nB\nC") t2 = self.writeTmp("D\nE\nF") fi = FileInput(files=(t1, t2)) lines = list(fi) self.assertEqual(lines, ["A\n", "B\n", "C", "D\n", "E\n", "F"]) self.assertEqual(fi.filelineno(), 3) self.assertEqual(fi.lineno(), 6)
21,447
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8
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def test_fileno(self): t1 = self.writeTmp("A\nB") t2 = self.writeTmp("C\nD") fi = FileInput(files=(t1, t2)) self.assertEqual(fi.fileno(), -1) line = next(fi) self.assertNotEqual(fi.fileno(), -1) fi.nextfile() self.assertEqual(fi.fileno(), -1) line = list(fi) self.assertEqual(fi.fileno(), -1)
21,448
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8
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def test_gz_ext_fake(self): original_open = gzip.open gzip.open = self.fake_open try: result = fileinput.hook_compressed("test.gz", 3) finally: gzip.open = original_open self.assertEqual(self.fake_open.invocation_count, 1) self.assertEqual(self.fake_open.last_invocation, (("test.gz", 3), {}))
21,449
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8
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def test_bz2_ext_fake(self): original_open = bz2.BZ2File bz2.BZ2File = self.fake_open try: result = fileinput.hook_compressed("test.bz2", 4) finally: bz2.BZ2File = original_open self.assertEqual(self.fake_open.invocation_count, 1) self.assertEqual(self.fake_open.last_invocation, (("test.bz2", 4), {}))
21,450
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def test(self): encoding = object() errors = object() result = fileinput.hook_encoded(encoding, errors=errors) fake_open = InvocationRecorder() original_open = builtins.open builtins.open = fake_open try: filename = object() mode = object() open_result = result(filename, mode) finally: builtins.open = original_open self.assertEqual(fake_open.invocation_count, 1) args, kwargs = fake_open.last_invocation self.assertIs(args[0], filename) self.assertIs(args[1], mode) self.assertIs(kwargs.pop('encoding'), encoding) self.assertIs(kwargs.pop('errors'), errors) self.assertFalse(kwargs)
21,451
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8
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def do_test_use_builtin_open(self, filename, mode): original_open = self.replace_builtin_open(self.fake_open) try: result = fileinput.hook_compressed(filename, mode) finally: self.replace_builtin_open(original_open) self.assertEqual(self.fake_open.invocation_count, 1) self.assertEqual(self.fake_open.last_invocation, ((filename, mode), {}))
21,452
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "conductor_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "old_conductor_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "uuid4", "value": {"_type": "Name", "_fields": {"id": "uuid", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "new_conductor_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bay_uuid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "old_conductor_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "new_conductor_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "steal", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BayLock", "value": {"_type": "Name", "_fields": {"id": "objects", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bay_uuid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "old_conductor_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "new_conductor_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Name", "_fields": {"id": "mock_steal_baylock", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dbapi", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "steal_bay_lock"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "autospec", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": {"_type": "Name", "_fields": {"id": "mock_steal_baylock", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_steal", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_steal(self): with mock.patch.object(self.dbapi, 'steal_bay_lock', autospec=True) as mock_steal_baylock: old_conductor_id = self.conductor_id new_conductor_id = str(uuid.uuid4()) objects.BayLock.steal(self.bay_uuid, old_conductor_id, new_conductor_id) mock_steal_baylock.assert_called_once_with( self.bay_uuid, old_conductor_id, new_conductor_id)
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10
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class TestBayLockObject(base.DbTestCase): def setUp(self): super(TestBayLockObject, self).setUp() baylock_dict = utils.get_test_baylock() self.bay_uuid = baylock_dict['bay_uuid'] self.conductor_id = baylock_dict['conductor_id'] def test_create(self): with mock.patch.object(self.dbapi, 'create_bay_lock', autospec=True) as mock_create_baylock: objects.BayLock.create(self.bay_uuid, self.conductor_id) mock_create_baylock.assert_called_once_with(self.bay_uuid, self.conductor_id) def test_steal(self): with mock.patch.object(self.dbapi, 'steal_bay_lock', autospec=True) as mock_steal_baylock: old_conductor_id = self.conductor_id new_conductor_id = str(uuid.uuid4()) objects.BayLock.steal(self.bay_uuid, old_conductor_id, new_conductor_id) mock_steal_baylock.assert_called_once_with( self.bay_uuid, old_conductor_id, new_conductor_id) def test_release(self): with mock.patch.object(self.dbapi, 'release_bay_lock', autospec=True) as mock_release_baylock: objects.BayLock.release(self.bay_uuid, self.conductor_id) mock_release_baylock.assert_called_once_with(self.bay_uuid, self.conductor_id)
21,454
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11
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21,455
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "can only get %r on a closed file"}}, "right": {"_type": "Name", "_fields": {"id": "field_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "closed_only", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_closed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "field_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "field_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "length"}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "field_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "getter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def getter(self): if closed_only and not self._closed: raise AttributeError("can only get %r on a closed file" % field_name) # Protect against PHP-237 if field_name == 'length': return self._file.get(field_name, 0) return self._file.get(field_name, None)
21,456
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"attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "CorruptGridFile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "bytes", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "next", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "next", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "__next__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "GridOutIterator", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class GridOutIterator(object): def __init__(self, grid_out, chunks): self.__id = grid_out._id self.__chunks = chunks self.__current_chunk = 0 self.__max_chunk = math.ceil(float(grid_out.length) / grid_out.chunk_size) def __iter__(self): return self def next(self): if self.__current_chunk >= self.__max_chunk: raise StopIteration chunk = self.__chunks.find_one({"files_id": self.__id, "n": self.__current_chunk}) if not chunk: raise CorruptGridFile("no chunk #%d" % self.__current_chunk) self.__current_chunk += 1 return bytes(chunk["data"]) __next__ = next
21,457
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Name", "_fields": {"id": "StopIteration", "ctx": {"_type": "Load", "_fields": {}}}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__max_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "files_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "n"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find_one", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__chunks", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "no chunk #%d"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "CorruptGridFile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "__current_chunk", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "bytes", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "next", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def next(self): if self.__current_chunk >= self.__max_chunk: raise StopIteration chunk = self.__chunks.find_one({"files_id": self.__id, "n": self.__current_chunk}) if not chunk: raise CorruptGridFile("no chunk #%d" % self.__current_chunk) self.__current_chunk += 1 return bytes(chunk["data"])
21,458
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8
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def new_version(self, session): # convert to an INSERT make_transient(self) self.id = None # history of the 'elements' collection. # this is a tuple of groups: (added, unchanged, deleted) hist = attributes.get_history(self, 'elements') # rewrite the 'elements' collection # from scratch, removing all history attributes.set_committed_value(self, 'elements', {}) # new elements in the "added" group # are moved to our new collection. for elem in hist.added: self.elements[elem.name] = elem # copy elements in the 'unchanged' group. # the new ones associate with the new ConfigData, # the old ones stay associated with the old ConfigData for elem in hist.unchanged: self.elements[elem.name] = ConfigValueAssociation(elem.config_value)
21,459
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9
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def before_flush(self, session, flush_context, instances): for instance in session.dirty: if hasattr(instance, 'new_version') and \ session.is_modified(instance, passive=True): # make it transient instance.new_version(session) # re-add session.add(instance)
21,460
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class DummyProcess(threading.Thread): def __init__(self, group=None, target=None, name=None, args=(), kwargs={}): threading.Thread.__init__(self, group, target, name, args, kwargs) self._pid = None self._children = weakref.WeakKeyDictionary() self._start_called = False self._parent = current_process() def start(self): assert self._parent is current_process() self._start_called = True if hasattr(self._parent, '_children'): self._parent._children[self] = None threading.Thread.start(self) @property def exitcode(self): if self._start_called and not self.is_alive(): return 0 else: return None
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11
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class Namespace(object): def __init__(self, **kwds): self.__dict__.update(kwds) def __repr__(self): items = self.__dict__.items() temp = [] for name, value in items: if not name.startswith('_'): temp.append('%s=%r' % (name, value)) temp.sort() return 'Namespace(%s)' % str.join(', ', temp)
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10
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def __repr__(self): items = self.__dict__.items() temp = [] for name, value in items: if not name.startswith('_'): temp.append('%s=%r' % (name, value)) temp.sort() return 'Namespace(%s)' % str.join(', ', temp)
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "lower", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "upper", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "actual", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "actual", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "estimate", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Failed assert: %f not in [%f, %f]"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "estimate", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "lower", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "upper", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "BeamAssertException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "estimate", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "lower", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "estimate", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "upper", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}], "name": "_in_between", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "_in_between", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "in_between", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def in_between(lower, upper): def _in_between(actual): _, _, estimate = actual[0] if estimate < lower or estimate > upper: raise BeamAssertException( 'Failed assert: %f not in [%f, %f]' % (estimate, lower, upper)) return _in_between
21,465
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11
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class EstimatePiTest(unittest.TestCase): def test_basics(self): with TestPipeline() as p: result = p | 'Estimate' >> estimate_pi.EstimatePiTransform(5000) # Note: Probabilistically speaking this test can fail with a probability # that is very small (VERY) given that we run at least 500 thousand # trials. assert_that(result, in_between(3.125, 3.155))
21,466
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8
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def setUp(self): super(CollectionTestCase, self).setUp() temp_dir = tempfile.mkdtemp() # Override the STATIC_ROOT for all tests from setUp to tearDown # rather than as a context manager self.patched_settings = self.settings(STATIC_ROOT=temp_dir) self.patched_settings.enable() self.run_collectstatic() # Same comment as in runtests.teardown. self.addCleanup(shutil.rmtree, six.text_type(temp_dir))
21,467
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10
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def test_basics(self): with TestPipeline() as p: result = p | 'Estimate' >> estimate_pi.EstimatePiTransform(5000) # Note: Probabilistically speaking this test can fail with a probability # that is very small (VERY) given that we run at least 500 thousand # trials. assert_that(result, in_between(3.125, 3.155))
21,468
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9
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def test_aic_R(self): # R includes the estimation of the scale as a lost dof # Doesn't with Gamma though if self.res1.scale != 1: dof = 2 else: dof = 0 assert_almost_equal(self.res1.aic+dof, self.res2.aic_R, self.decimal_aic_R)
21,469
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12
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nobs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "aic", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "aic", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "aic_Stata", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "decimal_aic_Stata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_aic_Stata", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_aic_Stata(self): # Stata uses the below llf for aic definition for these families if isinstance(self.res1.model.family, (sm.families.Gamma, sm.families.InverseGaussian)): llf = self.res1.model.family.loglike(self.res1.model.endog, self.res1.mu, scale=1) aic = (-2*llf+2*(self.res1.df_model+1))/self.res1.nobs else: aic = self.res1.aic/self.res1.nobs assert_almost_equal(aic, self.res2.aic_Stata, self.decimal_aic_Stata)
21,470
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11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endog", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "model", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mu", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loglike", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "family", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "model", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "llf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "family", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "model", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Gamma", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "families", "value": {"_type": "Name", "_fields": {"id": "sm", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InverseGaussian", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "families", "value": {"_type": "Name", "_fields": {"id": "sm", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "llf", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "llf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "llf", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "llf", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "res2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "decimal_loglike", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_loglike", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_loglike(self): # Stata uses the below llf for these families # We differ with R for them if isinstance(self.res1.model.family, (sm.families.Gamma, sm.families.InverseGaussian)): llf = self.res1.model.family.loglike(self.res1.model.endog, self.res1.mu, scale=1) else: llf = self.res1.llf assert_almost_equal(llf, self.res2.llf, self.decimal_loglike)
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def test_tpvalues(self): # test comparing tvalues and pvalues with normal implementation # make sure they use normal distribution (inherited in results class) params = self.res1.params tvalues = params / self.res1.bse pvalues = stats.norm.sf(np.abs(tvalues)) * 2 half_width = stats.norm.isf(0.025) * self.res1.bse conf_int = np.column_stack((params - half_width, params + half_width)) assert_almost_equal(self.res1.tvalues, tvalues) assert_almost_equal(self.res1.pvalues, pvalues) assert_almost_equal(self.res1.conf_int(), conf_int)
21,472
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def test_score_test(self): res1 = self.res1 # fake example, should be zero, k_constraint should be 0 st, pv, df = res1.model.score_test(res1.params, k_constraints=1) assert_allclose(st, 0, atol=1e-20) assert_allclose(pv, 1, atol=1e-10) assert_equal(df, 1) st, pv, df = res1.model.score_test(res1.params, k_constraints=0) assert_allclose(st, 0, atol=1e-20) assert_(np.isnan(pv), msg=repr(pv)) assert_equal(df, 0) # TODO: no verified numbers largely SMOKE test exog_extra = res1.model.exog[:,1]**2 st, pv, df = res1.model.score_test(res1.params, exog_extra=exog_extra) assert_array_less(0.1, st) assert_array_less(0.1, pv) assert_equal(df, 1)
21,473
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12
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null, "value": 0.0001}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": " data = read.csv(\"...statsmodels\\statsmodels\\genmod\\tests\\results\\stata_lbw_glm.csv\")\n\n data[\"race_black\"] = data[\"race\"] == \"black\"\n data[\"race_other\"] = data[\"race\"] == \"other\"\n mod = glm(low ~ age + lwt + race_black + race_other + smoke + ptl + ht + ui, family=binomial, data=data)\n options(digits=16)\n anova(mod, test=\"Rao\")\n\n library(statmod)\n s = glm.scoretest(mod, data[\"age\"]**2)\n s**2\n s = glm.scoretest(mod, data[\"lwt\"]**2)\n s**2\n "}}, "targets": [{"_type": "Name", "_fields": {"id": "cmd_r", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "score_test_r", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def score_test_r(self): res1 = self.res1 res2 = self.res2 st, pv, df = res1.model.score_test(res1.params, exog_extra=res1.model.exog[:, 1]**2) st_res = 0.2837680293459376 # (-0.5326988167303712)**2 assert_allclose(st, st_res, rtol=1e-4) st, pv, df = res1.model.score_test(res1.params, exog_extra=res1.model.exog[:, 0]**2) st_res = 0.6713492821514992 # (-0.8193590679009413)**2 assert_allclose(st, st_res, rtol=1e-4) select = list(range(9)) select.pop(7) res1b = GLM(res2.endog, res2.exog[:, select], family=sm.families.Binomial()).fit() tres = res1b.model.score_test(res1b.params, exog_extra=res1.model.exog[:, -2]) tres = np.asarray(tres[:2]).ravel() tres_r = (2.7864148487452, 0.0950667) assert_allclose(tres, tres_r, rtol=1e-4) cmd_r = """\ data = read.csv("...statsmodels\\statsmodels\\genmod\\tests\\results\\stata_lbw_glm.csv") data["race_black"] = data["race"] == "black" data["race_other"] = data["race"] == "other" mod = glm(low ~ age + lwt + race_black + race_other + smoke + ptl + ht + ui, family=binomial, data=data) options(digits=16) anova(mod, test="Rao") library(statmod) s = glm.scoretest(mod, data["age"]**2) s**2 s = glm.scoretest(mod, data["lwt"]**2) s**2 """
21,474
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def test_predict(self): np.random.seed(382304) endog = np.random.randint(0, 10, 100) exog = np.random.normal(size=(100,3)) exposure = np.random.uniform(1, 2, 100) mod1 = GLM(endog, exog, family=sm.families.Poisson(), exposure=exposure).fit() exog1 = np.random.normal(size=(10,3)) exposure1 = np.random.uniform(1, 2, 10) # Doubling exposure time should double expected response pred1 = mod1.predict(exog=exog1, exposure=exposure1) pred2 = mod1.predict(exog=exog1, exposure=2*exposure1) assert_almost_equal(pred2, 2*pred1) # Check exposure defaults pred3 = mod1.predict() pred4 = mod1.predict(exposure=exposure) pred5 = mod1.predict(exog=exog, exposure=exposure) assert_almost_equal(pred3, pred4) assert_almost_equal(pred4, pred5) # Check offset defaults offset = np.random.uniform(1, 2, 100) mod2 = GLM(endog, exog, offset=offset, family=sm.families.Poisson()).fit() pred1 = mod2.predict() pred2 = mod2.predict(offset=offset) pred3 = mod2.predict(exog=exog, offset=offset) assert_almost_equal(pred1, pred2) assert_almost_equal(pred2, pred3) # Check that offset shifts the linear predictor mod3 = GLM(endog, exog, family=sm.families.Poisson()).fit() offset = np.random.uniform(1, 2, 10) pred1 = mod3.predict(exog=exog1, offset=offset, linear=True) pred2 = mod3.predict(exog=exog1, offset=2*offset, linear=True) assert_almost_equal(pred2, pred1+offset)
21,475
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{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endog", "value": {"_type": "Name", "_fields": {"id": "mod1_", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exog", "value": {"_type": "Name", "_fields": {"id": "mod1_", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "mod1_", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwds", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "mod3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exposure", "value": {"_type": "Name", "_fields": {"id": "mod3", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exposure", "value": {"_type": "Name", "_fields": {"id": "mod1_", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rtol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.00000000000001}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "offset", "value": {"_type": "Name", "_fields": {"id": "mod3", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "offset", "value": {"_type": "Name", "_fields": {"id": "mod1_", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rtol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.00000000000001}}}}]}}}}], "name": "test_offset_exposure", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_offset_exposure(self): # exposure=x and offset=log(x) should have the same effect np.random.seed(382304) endog = np.random.randint(0, 10, 100) exog = np.random.normal(size=(100,3)) exposure = np.random.uniform(1, 2, 100) offset = np.random.uniform(1, 2, 100) mod1 = GLM(endog, exog, family=sm.families.Poisson(), offset=offset, exposure=exposure).fit() offset2 = offset + np.log(exposure) mod2 = GLM(endog, exog, family=sm.families.Poisson(), offset=offset2).fit() assert_almost_equal(mod1.params, mod2.params) # test recreating model mod1_ = mod1.model kwds = mod1_._get_init_kwds() assert_allclose(kwds['exposure'], exposure, rtol=1e-14) assert_allclose(kwds['offset'], mod1_.offset, rtol=1e-14) mod3 = mod1_.__class__(mod1_.endog, mod1_.exog, **kwds) assert_allclose(mod3.exposure, mod1_.exposure, rtol=1e-14) assert_allclose(mod3.offset, mod1_.offset, rtol=1e-14)
21,476
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def test_attribute_writable_resettable(): # Regression test for mutables and class constructors. data = sm.datasets.longley.load() endog, exog = data.endog, data.exog glm_model = sm.GLM(endog, exog) assert_equal(glm_model.family.link.power, 1.0) glm_model.family.link.power = 2. assert_equal(glm_model.family.link.power, 2.0) glm_model2 = sm.GLM(endog, exog) assert_equal(glm_model2.family.link.power, 1.0)
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def test_prefect_pred(): cur_dir = os.path.dirname(os.path.abspath(__file__)) iris = np.genfromtxt(os.path.join(cur_dir, 'results', 'iris.csv'), delimiter=",", skip_header=1) y = iris[:,-1] X = iris[:,:-1] X = X[y != 2] y = y[y != 2] X = add_constant(X, prepend=True) glm = GLM(y, X, family=sm.families.Binomial()) assert_raises(PerfectSeparationError, glm.fit)
21,478
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def test_loglike_no_opt(): # see 1728 y = np.asarray([0, 1, 0, 0, 1, 1, 0, 1, 1, 1]) x = np.arange(10, dtype=np.float64) def llf(params): lin_pred = params[0] + params[1]*x pr = 1 / (1 + np.exp(-lin_pred)) return np.sum(y*np.log(pr) + (1-y)*np.log(1-pr)) for params in [0,0], [0,1], [0.5,0.5]: mod = sm.GLM(y, sm.add_constant(x), family=sm.families.Binomial()) res = mod.fit(start_params=params, maxiter=0) like = llf(params) assert_almost_equal(like, res.llf)
21,479
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10
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{"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 4.60305022}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 5.29634545}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_almost_equal", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "testing", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "test_glm_start_params", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_glm_start_params(): # see 1604 y2 = np.array('0 1 0 0 0 1'.split(), int) wt = np.array([50,1,50,1,5,10]) y2 = np.repeat(y2, wt) x2 = np.repeat([0,0,0.001,100,-1,-1], wt) mod = sm.GLM(y2, sm.add_constant(x2), family=sm.families.Binomial()) res = mod.fit(start_params=[-4, -5]) np.testing.assert_almost_equal(res.params, [-4.60305022, -5.29634545], 6)
21,480
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8
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def pwm_prog(): # fmt: off pull(noblock) .side(0) mov(x, osr) # Keep most recent pull data stashed in X, for recycling by noblock mov(y, isr) # ISR must be preloaded with PWM count max label("pwmloop") jmp(x_not_y, "skip") nop() .side(1) label("skip") jmp(y_dec, "pwmloop")
21,481
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9
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class PIOPWM: def __init__(self, sm_id, pin, max_count, count_freq): self._sm = StateMachine(sm_id, pwm_prog, freq=2 * count_freq, sideset_base=Pin(pin)) # Use exec() to load max count into ISR self._sm.put(max_count) self._sm.exec("pull()") self._sm.exec("mov(isr, osr)") self._sm.active(1) self._max_count = max_count def set(self, value): # Minimum value is -1 (completely turn off), 0 actually still produces narrow pulse value = max(value, -1) value = min(value, self._max_count) self._sm.put(value)
21,482
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8
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def __init__(self, sm_id, pin, max_count, count_freq): self._sm = StateMachine(sm_id, pwm_prog, freq=2 * count_freq, sideset_base=Pin(pin)) # Use exec() to load max count into ISR self._sm.put(max_count) self._sm.exec("pull()") self._sm.exec("mov(isr, osr)") self._sm.active(1) self._max_count = max_count
21,483
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11
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class PauschBridge(Bridge): def init(self): self.rig = core.init(upload = True, run = False, wipe = True, fire = True) def paint(self): for light in self.lights(): # TODO: Support setting top and bottom separately (have the data, # just don't want to figure out the query rn) query = "$sequence=%d" % light.sequence core.query(self.rig, query).setRGBRaw(*light.color) self.rig.updateOnce()
21,484
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "$sequence=%d"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sequence", "value": {"_type": "Name", "_fields": {"id": "light", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "color", "value": {"_type": "Name", "_fields": {"id": "light", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setRGBRaw", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rig", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "core", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lights", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "light", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "updateOnce", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rig", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "paint", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def paint(self): for light in self.lights(): # TODO: Support setting top and bottom separately (have the data, # just don't want to figure out the query rn) query = "$sequence=%d" % light.sequence core.query(self.rig, query).setRGBRaw(*light.color) self.rig.updateOnce()
21,485
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10
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[{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "user_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setUp", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "SplitWMongoCourseBootstrapper", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "draft_mongo", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_drop_database", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "draft_mongo", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "addCleanup", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "old_course_key", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "runtime", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_create_course", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUp(self): self.db_config['collection'] = 'modulestore{0}'.format(uuid.uuid4().hex[:5]) self.user_id = random.getrandbits(32) super(SplitWMongoCourseBootstrapper, self).setUp() self.split_mongo = SplitMongoModuleStore( None, self.db_config, **self.modulestore_options ) self.addCleanup(self.split_mongo._drop_database) # pylint: disable=protected-access self.draft_mongo = DraftMongoModuleStore( None, self.db_config, branch_setting_func=lambda: ModuleStoreEnum.Branch.draft_preferred, metadata_inheritance_cache_subsystem=MemoryCache(), **self.modulestore_options ) self.addCleanup(self.draft_mongo._drop_database) # pylint: disable=protected-access self.old_course_key = None self.runtime = None self._create_course()
21,486
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11
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class Hashable(metaclass=ABCMeta): __slots__ = () @abstractmethod def __hash__(self): return 0 @classmethod def __subclasshook__(cls, C): if cls is Hashable: for B in C.__mro__: if "__hash__" in B.__dict__: if B.__dict__["__hash__"]: return True break return NotImplemented
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"ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "zappa_settings.json"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "w"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": null}}], "name": "update_zappa_settings", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def update_zappa_settings(event): resource_props = event.get("ResourceProperties") if resource_props is None: raise RuntimeError("ResourceProperties not available from CloudFormation") enc_key_id = resource_props.get("EncryptionKeyId") if enc_key_id is None: raise RuntimeError("EncryptionKeyId not specified") stack_name = resource_props.get("StackName") if stack_name is None: raise RuntimeError("StackName not specified") region = resource_props.get("Region") if region is None: raise RuntimeError("Region not specified") s3_bucket = resource_props.get("S3Bucket") if s3_bucket is None: raise RuntimeError("S3Bucket not specified") logical_resource_id = event["LogicalResourceId"] if "PhysicalResourceId" not in event: event["PhysicalResourceId"] = ( "%s-%s-Zappa" % (stack_name, logical_resource_id)) debug = resource_props.get("Debug", "FALSE") domain_name = resource_props.get("DomainName") env_config = { "app_function": "labcafe.app", "aws_region": region, "delete_local_zip": False, "delete_s3_zip": False, "environment_variables": { "DEBUG": debug, "ENCRYPTION_KEY_ID": enc_key_id, "LABCAFE_TABLE_PREFIX": stack_name + ".", }, "lambda_description": ("%s renderer" % (stack_name,)), "project_name": ("%s-Zappa" % (stack_name,)), "s3_bucket": s3_bucket, "timeout_seconds": 5, "use_precompiled_packages": False, } if domain_name: env_config["domain"] = domain_name zsettings = { logical_resource_id: env_config } with open("zappa_settings.json", "w") as fd: json_dump(zsettings, fd) return
21,488
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "C", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "__hash__"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__dict__", "value": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "__hash__"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__dict__", "value": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__mro__", "value": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "Hashable", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__subclasshook__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __subclasshook__(cls, C): if cls is Hashable: for B in C.__mro__: if "__hash__" in B.__dict__: if B.__dict__["__hash__"]: return True break return NotImplemented
21,489
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11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "While", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "orelse": []}}], "name": "__iter__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "abstractmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "C", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "__iter__"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__dict__", "value": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__mro__", "value": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "Iterable", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__subclasshook__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "Iterable", "bases": [], "keywords": [{"_type": "keyword", "_fields": {"arg": "metaclass", "value": {"_type": "Name", "_fields": {"id": "ABCMeta", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Iterable(metaclass=ABCMeta): __slots__ = () @abstractmethod def __iter__(self): while False: yield None @classmethod def __subclasshook__(cls, C): if cls is Iterable: if any("__iter__" in B.__dict__ for B in C.__mro__): return True return NotImplemented
21,490
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11
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class Sized(metaclass=ABCMeta): __slots__ = () @abstractmethod def __len__(self): return 0 @classmethod def __subclasshook__(cls, C): if cls is Sized: if any("__len__" in B.__dict__ for B in C.__mro__): return True return NotImplemented
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12
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class Iterator(Iterable): __slots__ = () @abstractmethod def __next__(self): raise StopIteration def __iter__(self): return self @classmethod def __subclasshook__(cls, C): if cls is Iterator: if (any("__next__" in B.__dict__ for B in C.__mro__) and any("__iter__" in B.__dict__ for B in C.__mro__)): return True return NotImplemented
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11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "__contains__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "abstractmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "C", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "__contains__"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__dict__", "value": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__mro__", "value": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "Container", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__subclasshook__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "Container", "bases": [], "keywords": [{"_type": "keyword", "_fields": {"arg": "metaclass", "value": {"_type": "Name", "_fields": {"id": "ABCMeta", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Container(metaclass=ABCMeta): __slots__ = () @abstractmethod def __contains__(self, x): return False @classmethod def __subclasshook__(cls, C): if cls is Container: if any("__contains__" in B.__dict__ for B in C.__mro__): return True return NotImplemented
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11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwds", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "__call__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "abstractmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "C", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "__call__"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__dict__", "value": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__mro__", "value": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "Callable", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__subclasshook__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "Callable", "bases": [], "keywords": [{"_type": "keyword", "_fields": {"arg": "metaclass", "value": {"_type": "Name", "_fields": {"id": "ABCMeta", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Callable(metaclass=ABCMeta): __slots__ = () @abstractmethod def __call__(self, *args, **kwds): return False @classmethod def __subclasshook__(cls, C): if cls is Callable: if any("__call__" in B.__dict__ for B in C.__mro__): return True return NotImplemented
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10
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def __ixor__(self, it): if it is self: self.clear() else: if not isinstance(it, Set): it = self._from_iterable(it) for value in it: if value in self: self.discard(value) else: self.add(value) return self
21,495
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7
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def __le__(self, other): if not isinstance(other, Set): return NotImplemented if len(self) > len(other): return False for elem in self: if elem not in other: return False return True
21,496
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10
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"kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Mapping", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "__eq__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}}}], "name": "__ne__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Mapping", "bases": [{"_type": "Name", "_fields": {"id": "Sized", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Iterable", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Container", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Mapping(Sized, Iterable, Container): __slots__ = () @abstractmethod def __getitem__(self, key): raise KeyError def get(self, key, default=None): try: return self[key] except KeyError: return default def __contains__(self, key): try: self[key] except KeyError: return False else: return True def keys(self): return KeysView(self) def items(self): return ItemsView(self) def values(self): return ValuesView(self) def __eq__(self, other): if not isinstance(other, Mapping): return NotImplemented return dict(self.items()) == dict(other.items()) def __ne__(self, other): return not (self == other)
21,497
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10
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class ValuesView(MappingView): def __contains__(self, value): for key in self._mapping: if value == self._mapping[key]: return True return False def __iter__(self): for key in self._mapping: yield self._mapping[key]
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9
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def update(*args, **kwds): if len(args) > 2: raise TypeError("update() takes at most 2 positional " "arguments ({} given)".format(len(args))) elif not args: raise TypeError("update() takes at least 1 argument (0 given)") self = args[0] other = args[1] if len(args) >= 2 else () if isinstance(other, Mapping): for key in other: self[key] = other[key] elif hasattr(other, "keys"): for key in other.keys(): self[key] = other[key] else: for key, value in other: self[key] = value for key, value in kwds.items(): self[key] = value
21,499
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"_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "default", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "default", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "setdefault", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "MutableMapping", "bases": [{"_type": "Name", "_fields": {"id": "Mapping", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class MutableMapping(Mapping): __slots__ = () @abstractmethod def __setitem__(self, key, value): raise KeyError @abstractmethod def __delitem__(self, key): raise KeyError __marker = object() def pop(self, key, default=__marker): try: value = self[key] except KeyError: if default is self.__marker: raise return default else: del self[key] return value def popitem(self): try: key = next(iter(self)) except StopIteration: raise KeyError value = self[key] del self[key] return key, value def clear(self): try: while True: self.popitem() except KeyError: pass def update(*args, **kwds): if len(args) > 2: raise TypeError("update() takes at most 2 positional " "arguments ({} given)".format(len(args))) elif not args: raise TypeError("update() takes at least 1 argument (0 given)") self = args[0] other = args[1] if len(args) >= 2 else () if isinstance(other, Mapping): for key in other: self[key] = other[key] elif hasattr(other, "keys"): for key in other.keys(): self[key] = other[key] else: for key, value in other: self[key] = value for key, value in kwds.items(): self[key] = value def setdefault(self, key, default=None): try: return self[key] except KeyError: self[key] = default return default
21,500
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class MutableSequence(Sequence): __slots__ = () @abstractmethod def __setitem__(self, index, value): raise IndexError @abstractmethod def __delitem__(self, index): raise IndexError @abstractmethod def insert(self, index, value): raise IndexError def append(self, value): self.insert(len(self), value) def clear(self): try: while True: self.pop() except IndexError: pass def reverse(self): n = len(self) for i in range(n//2): self[i], self[n-i-1] = self[n-i-1], self[i] def extend(self, values): for v in values: self.append(v) def pop(self, index=-1): v = self[index] del self[index] return v def remove(self, value): del self[self.index(value)] def __iadd__(self, values): self.extend(values) return self