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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}}, {"_type": "arg", "_fields": {"arg": "client", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_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": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "GlanceClientWrapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_client", "value": {"_type": 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def __init__(self, client=None): self._client = client or GlanceClientWrapper() # NOTE(jbresnah) build the table of download handlers at the beginning # so that operators can catch errors at load time rather than whenever # a user attempts to use a module. Note this cannot be done in glance # space when this python module is loaded because the download module # may require configuration options to be parsed. self._download_handlers = {} download_modules = image_xfers.load_transfer_modules() for scheme, mod in six.iteritems(download_modules): if scheme not in CONF.glance.allowed_direct_url_schemes: continue try: self._download_handlers[scheme] = mod.get_download_handler() except Exception as ex: LOG.error(_LE('When loading the module %(module_str)s the ' 'following error occurred: %(ex)s'), {'module_str': str(mod), 'ex': ex})
14,302
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def _extract_attributes(image, include_locations=False): # NOTE(hdd): If a key is not found, base.Resource.__getattr__() may perform # a get(), resulting in a useless request back to glance. This list is # therefore sorted, with dependent attributes as the end # 'deleted_at' depends on 'deleted' # 'checksum' depends on 'status' == 'active' IMAGE_ATTRIBUTES = ['size', 'disk_format', 'owner', 'container_format', 'status', 'id', 'name', 'created_at', 'updated_at', 'deleted', 'deleted_at', 'checksum', 'min_disk', 'min_ram', 'is_public', 'direct_url', 'locations'] queued = getattr(image, 'status') == 'queued' queued_exclude_attrs = ['disk_format', 'container_format'] include_locations_attrs = ['direct_url', 'locations'] output = {} for attr in IMAGE_ATTRIBUTES: if attr == 'deleted_at' and not output['deleted']: output[attr] = None elif attr == 'checksum' and output['status'] != 'active': output[attr] = None # image may not have 'name' attr elif attr == 'name': output[attr] = getattr(image, attr, None) # NOTE(liusheng): queued image may not have these attributes and 'name' elif queued and attr in queued_exclude_attrs: output[attr] = getattr(image, attr, None) # NOTE(mriedem): Only get location attrs if including locations. elif attr in include_locations_attrs: if include_locations: output[attr] = getattr(image, attr, None) else: # NOTE(xarses): Anything that is caught with the default value # will result in a additional lookup to glance for said attr. # Notable attributes that could have this issue: # disk_format, container_format, name, deleted, checksum output[attr] = getattr(image, attr, None) output['properties'] = getattr(image, 'properties', {}) return output
14,303
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9
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def _extract_query_params(params): _params = {} accepted_params = ('filters', 'marker', 'limit', 'page_size', 'sort_key', 'sort_dir') for param in accepted_params: if params.get(param): _params[param] = params.get(param) # ensure filters is a dict _params.setdefault('filters', {}) # NOTE(vish): don't filter out private images _params['filters'].setdefault('is_public', 'none') return _params
14,304
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "exc_value", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Forbidden", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Forbidden", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Unauthorized", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NotFound", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NotFound", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Invalid", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BadRequest", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_translate_plain_exception", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _translate_plain_exception(exc_value): if isinstance(exc_value, (glanceclient.exc.Forbidden, glanceclient.exc.Unauthorized)): return exception.Forbidden(six.text_type(exc_value)) if isinstance(exc_value, glanceclient.exc.NotFound): return exception.NotFound(six.text_type(exc_value)) if isinstance(exc_value, glanceclient.exc.BadRequest): return exception.Invalid(six.text_type(exc_value)) return exc_value
14,305
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "image_id", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "exc_value", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ImageNotAuthorized", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "image_id", "value": {"_type": "Name", "_fields": {"id": "image_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Forbidden", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Unauthorized", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ImageNotFound", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "image_id", "value": {"_type": "Name", "_fields": {"id": "image_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NotFound", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Invalid", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BadRequest", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "glanceclient", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "exc_value", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_translate_image_exception", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _translate_image_exception(image_id, exc_value): if isinstance(exc_value, (glanceclient.exc.Forbidden, glanceclient.exc.Unauthorized)): return exception.ImageNotAuthorized(image_id=image_id) if isinstance(exc_value, glanceclient.exc.NotFound): return exception.ImageNotFound(image_id=image_id) if isinstance(exc_value, glanceclient.exc.BadRequest): return exception.Invalid(six.text_type(exc_value)) return exc_value
14,306
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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": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "currentElement", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "currentElement", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "currentElement", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "currentElement", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dereference", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataPtr", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataPtr", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "dataPtr", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "[%s]"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "elementNames", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}, {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "next", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def next(self): element = self.currentElement if self.currentElement >= 4: #there are 4 elements in a quanternion raise StopIteration self.currentElement = self.currentElement + 1 item = self.dataPtr.dereference() self.dataPtr = self.dataPtr + 1 return ('[%s]' % (self.elementNames[element],), item)
14,307
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class _iterator: def __init__ (self, dataPtr): self.dataPtr = dataPtr self.currentElement = 0 self.elementNames = ['x', 'y', 'z', 'w'] def __iter__ (self): return self def next(self): element = self.currentElement if self.currentElement >= 4: #there are 4 elements in a quanternion raise StopIteration self.currentElement = self.currentElement + 1 item = self.dataPtr.dereference() self.dataPtr = self.dataPtr + 1 return ('[%s]' % (self.elementNames[element],), item)
14,308
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def downgrade(): op.drop_constraint( "cycle_task_group_id", "cycle_task_group_object_tasks", type_="foreignkey" ) op.drop_column( 'cycle_task_group_object_tasks', 'cycle_task_group_id' ) op.alter_column( 'cycle_task_group_object_tasks', 'cycle_task_group_object_id', existing_type=sa.Integer(), nullable=False )
14,309
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_object_tasks"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_object_id"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "alter_column", "value": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "existing_type", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Integer", "value": {"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_object_tasks"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_id"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Integer", "value": {"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Column", "value": {"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_column", "value": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n UPDATE cycle_task_group_object_tasks\n SET cycle_task_group_id=(\n SELECT cycle_task_group_id\n FROM cycle_task_group_objects\n WHERE id=cycle_task_group_object_tasks.cycle_task_group_object_id\n )\n "}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_object_tasks"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_groups"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "cycle_task_group_id"}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_foreign_key", "value": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "upgrade", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def upgrade(): op.alter_column( 'cycle_task_group_object_tasks', 'cycle_task_group_object_id', existing_type=sa.Integer(), nullable=True ) op.add_column( 'cycle_task_group_object_tasks', sa.Column('cycle_task_group_id', sa.Integer(), nullable=False) ) op.execute(""" UPDATE cycle_task_group_object_tasks SET cycle_task_group_id=( SELECT cycle_task_group_id FROM cycle_task_group_objects WHERE id=cycle_task_group_object_tasks.cycle_task_group_object_id ) """) op.create_foreign_key( "cycle_task_group_id", "cycle_task_group_object_tasks", "cycle_task_groups", ["cycle_task_group_id"], ["id"] )
14,310
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def draw(): glViewport(0, 0, f_width, f_height) glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT) # set up matrices glMatrixMode(GL_PROJECTION) glLoadMatrixf(perspective_matrix(fovy, f_width/f_height, 1.0, 100.0)) glMatrixMode(GL_MODELVIEW) glLoadMatrixf(arcball.matrix().T) # rendering time if wireframe_mode: glPolygonMode(GL_FRONT_AND_BACK, GL_LINE) else: glPolygonMode(GL_FRONT_AND_BACK, GL_FILL) if primitive_restart_mode == PRIMITIVE_RESTART_CORE: glEnable(GL_PRIMITIVE_RESTART) glPrimitiveRestartIndex(PRIMITIVE_RESTART_INDEX) elif primitive_restart_mode == PRIMITIVE_RESTART_NV: glEnableClientState(GL_PRIMITIVE_RESTART_NV) glPrimitiveRestartIndexNV(PRIMITIVE_RESTART_INDEX) shaders.glUseProgram(background_shader) glBindBuffer(GL_ARRAY_BUFFER, vbo) glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, ibo) glEnableVertexAttribArray(vertex_loc) glEnableVertexAttribArray(color_loc) prims = 0 for numverts,vertsize,vertdata_offset,facelists in nbgdata: glVertexAttribPointer(vertex_loc, 4, GL_FLOAT, False, vertsize, ctypes.c_void_p(vertdata_offset)) glVertexAttribPointer(color_loc, 4, GL_BYTE, True, vertsize, ctypes.c_void_p(vertdata_offset+16)) for typ, count, facedata_offset in facelists: glDrawElements(gl_types[typ], count, GL_UNSIGNED_SHORT, ctypes.c_void_p(facedata_offset)) glDisableVertexAttribArray(vertex_loc) glDisableVertexAttribArray(color_loc) glBindBuffer(GL_ARRAY_BUFFER, 0) glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, 0) shaders.glUseProgram(0) if primitive_restart_mode == PRIMITIVE_RESTART_CORE: glDisable(GL_PRIMITIVE_RESTART) elif primitive_restart_mode == PRIMITIVE_RESTART_NV: glDisableClientState(GL_PRIMITIVE_RESTART_NV)
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10
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def mouse_button_callback(window, button, action, mods): global animate (x, y) = glfw.get_cursor_pos(window) if button == 0 and mods == 0: arcball.active = (action == glfw.PRESS) if arcball.active: arcball.down([x,y]) animate = None elif numpy.allclose(arcball._qpre, arcball._qnow): # effectively no animation, save CPU cycles animate = None else: animate = [arcball._qpre, arcball._qnow, 1.0] force_rerender()
14,312
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Global", "_fields": {"names": ["primitive_restart_mode"]}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "PRIMITIVE_RESTART_NONE", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "primitive_restart_mode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "PRIMITIVE_RESTART_CORE", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "primitive_restart_mode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "glInitGl31VERSION", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "glPrimitiveRestartIndex", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "PRIMITIVE_RESTART_NV", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "primitive_restart_mode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "glPrimitiveRestartNV", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Warning: Primitive restart not supported, falling back to slow path"}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}]}}], "name": "probe_extensions", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def probe_extensions(): global primitive_restart_mode primitive_restart_mode = PRIMITIVE_RESTART_NONE if glInitGl31VERSION() and glPrimitiveRestartIndex: # 3.1+ primitive_restart_mode = PRIMITIVE_RESTART_CORE elif glPrimitiveRestartNV: primitive_restart_mode = PRIMITIVE_RESTART_NV else: print("Warning: Primitive restart not supported, falling back to slow path")
14,313
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10
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"_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/no-media/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_media_request", "value": {"_type": "Name", "_fields": {"id": "urlutils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "settings", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "MEDIA_URL", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "http://testserver/media/"}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_is_media_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "UrlutilsTestCase", "bases": [{"_type": "Name", "_fields": {"id": "CMSTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class UrlutilsTestCase(CMSTestCase): def test_levelize_path(self): path = '/application/item/new' output = ['/application/item/new', '/application/item', '/application'] self.assertEqual(urlutils.levelize_path(path), output) def test_urljoin(self): self.assertEqual('a/b/c/', urlutils.urljoin('a', 'b', 'c')) self.assertEqual('a/b/c/', urlutils.urljoin('a', '//b//', 'c')) self.assertEqual('a/', urlutils.urljoin('a', '')) def test_is_media_url(self): with self.settings(MEDIA_URL='/media/'): request = self.get_request('/media/') self.assertTrue(urlutils.is_media_request(request)) request = self.get_request('/no-media/') self.assertFalse(urlutils.is_media_request(request)) with self.settings(MEDIA_URL='http://testserver2.com/'): request = self.get_request('/') self.assertFalse(urlutils.is_media_request(request)) with self.settings(MEDIA_URL='http://testserver/media/'): request = self.get_request('/media/') self.assertTrue(urlutils.is_media_request(request)) request = self.get_request('/no-media/') self.assertFalse(urlutils.is_media_request(request))
14,314
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10
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class RecordManager(models.Manager): def log(self, level, src, msg, **kwargs): msg = msg.format(**kwargs).encode('utf-8') return Record.objects.create(level=RECORD_INFO, src=src, msg=msg) def info(self, src, msg, **kwargs): self.log(RECORD_INFO, src, msg, **kwargs) def error(self, src, msg, **kwargs): self.log(RECORD_ERROR, src, msg, **kwargs)
14,315
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9
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def test_is_media_url(self): with self.settings(MEDIA_URL='/media/'): request = self.get_request('/media/') self.assertTrue(urlutils.is_media_request(request)) request = self.get_request('/no-media/') self.assertFalse(urlutils.is_media_request(request)) with self.settings(MEDIA_URL='http://testserver2.com/'): request = self.get_request('/') self.assertFalse(urlutils.is_media_request(request)) with self.settings(MEDIA_URL='http://testserver/media/'): request = self.get_request('/media/') self.assertTrue(urlutils.is_media_request(request)) request = self.get_request('/no-media/') self.assertFalse(urlutils.is_media_request(request))
14,316
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def handle(self, *args, **options): media_path = "" if len(args): media_path = args[0] path = os.path.join(MEDIA_ROOT, media_path) else: path = os.path.join(MEDIA_ROOT, DIRECTORY) if not os.path.isdir(path): raise CommandError('<media_path> must be a directory in MEDIA_ROOT (If you don\'t add a media_path the default path is FILEBROWSER_DIRECTORY).\n"%s" is no directory.' % path); # get version name while 1: self.stdout.write('\nSelect a version you want to generate:\n') for version in VERSIONS: self.stdout.write(' * %s\n' % version) version_name = raw_input('(leave blank to generate all versions): ') if version_name == "": selected_version = None break else: try: tmp = VERSIONS[version_name] selected_version = version_name break except: self.stderr.write('Error: Version "%s" doesn\'t exist.\n' % version_name) version_name = None continue # Precompile regular expressions filter_re = [] for exp in EXCLUDE: filter_re.append(re.compile(exp)) for k,v in VERSIONS.iteritems(): exp = (r'_%s.(%s)') % (k, '|'.join(EXTENSION_LIST)) filter_re.append(re.compile(exp)) # walkt throu the filebrowser directory # for all/new files (except file versions itself and excludes) for dirpath,dirnames,filenames in os.walk(path): for filename in filenames: filtered = False # no "hidden" files (stating with ".") if filename.startswith('.'): continue # check the exclude list for re_prefix in filter_re: if re_prefix.search(filename): filtered = True if filtered: continue (tmp, extension) = os.path.splitext(filename) if extension in EXTENSIONS["Image"]: self.createVersions(os.path.join(dirpath, filename), selected_version)
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13
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{"id": "extension", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dirpath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "selected_version", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "createVersions", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "extension", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Image"}}, "value": {"_type": "Name", "_fields": {"id": "EXTENSIONS", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "filenames", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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"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": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "generating version \"%s\" for: %s\n"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "selected_version", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "selected_version", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Name", "_fields": {"id": "version_generator", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "selected_version", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "generating all versions for: %s\n"}}, "right": {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Name", "_fields": {"id": "version_generator", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "VERSIONS", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}]}}], "name": "createVersions", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Command", "bases": [{"_type": "Name", "_fields": {"id": "BaseCommand", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Command(BaseCommand): args = '<media_path>' help = "(Re)Generate Image-Versions within FILEBROWSER_DIRECTORY/MEDIA_ROOT." def handle(self, *args, **options): media_path = "" if len(args): media_path = args[0] path = os.path.join(MEDIA_ROOT, media_path) else: path = os.path.join(MEDIA_ROOT, DIRECTORY) if not os.path.isdir(path): raise CommandError('<media_path> must be a directory in MEDIA_ROOT (If you don\'t add a media_path the default path is FILEBROWSER_DIRECTORY).\n"%s" is no directory.' % path); # get version name while 1: self.stdout.write('\nSelect a version you want to generate:\n') for version in VERSIONS: self.stdout.write(' * %s\n' % version) version_name = raw_input('(leave blank to generate all versions): ') if version_name == "": selected_version = None break else: try: tmp = VERSIONS[version_name] selected_version = version_name break except: self.stderr.write('Error: Version "%s" doesn\'t exist.\n' % version_name) version_name = None continue # Precompile regular expressions filter_re = [] for exp in EXCLUDE: filter_re.append(re.compile(exp)) for k,v in VERSIONS.iteritems(): exp = (r'_%s.(%s)') % (k, '|'.join(EXTENSION_LIST)) filter_re.append(re.compile(exp)) # walkt throu the filebrowser directory # for all/new files (except file versions itself and excludes) for dirpath,dirnames,filenames in os.walk(path): for filename in filenames: filtered = False # no "hidden" files (stating with ".") if filename.startswith('.'): continue # check the exclude list for re_prefix in filter_re: if re_prefix.search(filename): filtered = True if filtered: continue (tmp, extension) = os.path.splitext(filename) if extension in EXTENSIONS["Image"]: self.createVersions(os.path.join(dirpath, filename), selected_version) def createVersions(self, path, selected_version): if selected_version: self.stdout.write('generating version "%s" for: %s\n' % (selected_version, path)) version_generator(path, selected_version, True) else: self.stdout.write('generating all versions for: %s\n' % path) for version in VERSIONS: version_generator(path, version, True)
14,318
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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}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Adapter", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ops", "value": {"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": null}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Adapter", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ops", "value": {"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "%s"}}, {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "get_db_prep_lookup", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_db_prep_lookup(self, value, connection): # get_db_prep_lookup is called by process_rhs from super class if isinstance(value, (tuple, list)): # First param is assumed to be the geometric object params = [connection.ops.Adapter(value[0])] + list(value)[1:] else: params = [connection.ops.Adapter(value)] return ('%s', params)
14,319
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9
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def createVersions(self, path, selected_version): if selected_version: self.stdout.write('generating version "%s" for: %s\n' % (selected_version, path)) version_generator(path, selected_version, True) else: self.stdout.write('generating all versions for: %s\n' % path) for version in VERSIONS: version_generator(path, version, True)
14,320
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10
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def process_rhs(self, compiler, connection): rhs, rhs_params = super(GISLookup, self).process_rhs(compiler, connection) if hasattr(self.rhs, '_as_sql'): # If rhs is some QuerySet, don't touch it return rhs, rhs_params geom = self.rhs if isinstance(self.rhs, Col): # Make sure the F Expression destination field exists, and # set an `srid` attribute with the same as that of the # destination. geo_fld = self.rhs.output_field if not hasattr(geo_fld, 'srid'): raise ValueError('No geographic field found in expression.') self.rhs.srid = geo_fld.srid elif isinstance(self.rhs, Expression): raise ValueError('Complex expressions not supported for GeometryField') elif isinstance(self.rhs, (list, tuple)): geom = self.rhs[0] rhs = connection.ops.get_geom_placeholder(self.lhs.output_field, geom, compiler) return rhs, rhs_params
14,321
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7
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def as_sql(self, compiler, connection): lhs_sql, sql_params = self.process_lhs(compiler, connection) rhs_sql, rhs_params = self.process_rhs(compiler, connection) sql_params.extend(rhs_params) template_params = {'lhs': lhs_sql, 'rhs': rhs_sql} rhs_op = self.get_rhs_op(connection, rhs_sql) return rhs_op.as_sql(connection, self, template_params, sql_params)
14,322
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13
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update_from", "value": {"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "estimate_size", "value": {"_type": "Name", "_fields": {"id": "coder", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "total_size", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "BinOp", 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"targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update_from", "value": {"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "estimate_size", "value": {"_type": "Name", "_fields": {"id": "coder", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "total_size", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total_size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "verify_counters", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_update_multiple", "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": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 300}}}}, "targets": [{"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1717}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Name", "_fields": {"id": "random", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CounterFactory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "some-name"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PickleCoder", "value": {"_type": "Name", "_fields": {"id": "coders", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Name", "_fields": {"id": "OperationCounters", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "should_sample", "value": {"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "xrange", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "xrange", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "xrange", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "i=%d, buckets[i]=%d, expected=%d, ratio=%f"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10.0}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 14}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "i=%d, buckets[i]=%d, expected=%d, ratio=%f"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10.0}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "xrange", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_should_sample", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "OperationCountersTest", "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 OperationCountersTest(unittest.TestCase): def verify_counters(self, opcounts, expected_elements, expected_size=None): self.assertEqual(expected_elements, opcounts.element_counter.value()) if expected_size is not None: if math.isnan(expected_size): self.assertTrue(math.isnan(opcounts.mean_byte_counter.value())) else: self.assertEqual(expected_size, opcounts.mean_byte_counter.value()) def test_update_int(self): opcounts = OperationCounters(CounterFactory(), 'some-name', coders.PickleCoder(), 0) self.verify_counters(opcounts, 0) opcounts.update_from(GlobalWindows.windowed_value(1)) self.verify_counters(opcounts, 1) def test_update_str(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) value = GlobalWindows.windowed_value('abcde') opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size) def test_update_old_object(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) obj = OldClassThatDoesNotImplementLen() value = GlobalWindows.windowed_value(obj) opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size) def test_update_new_object(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) obj = ObjectThatDoesNotImplementLen() value = GlobalWindows.windowed_value(obj) opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size) def test_update_multiple(self): coder = coders.PickleCoder() total_size = 0 opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) value = GlobalWindows.windowed_value('abcde') opcounts.update_from(value) total_size += coder.estimate_size(value) value = GlobalWindows.windowed_value('defghij') opcounts.update_from(value) total_size += coder.estimate_size(value) self.verify_counters(opcounts, 2, float(total_size) / 2) value = GlobalWindows.windowed_value('klmnop') opcounts.update_from(value) total_size += coder.estimate_size(value) self.verify_counters(opcounts, 3, float(total_size) / 3) def test_should_sample(self): # Order of magnitude more buckets than highest constant in code under test. buckets = [0] * 300 # The seed is arbitrary and exists just to ensure this test is robust. # If you don't like this seed, try your own; the test should still pass. random.seed(1717) # Do enough runs that the expected hits even in the last buckets # is big enough to expect some statistical smoothing. total_runs = 10 * len(buckets) # Fill the buckets. for _ in xrange(total_runs): opcounts = OperationCounters(CounterFactory(), 'some-name', coders.PickleCoder(), 0) for i in xrange(len(buckets)): if opcounts.should_sample(): buckets[i] += 1 # Look at the buckets to see if they are likely. for i in xrange(10): self.assertEqual(total_runs, buckets[i]) for i in xrange(10, len(buckets)): self.assertTrue(buckets[i] > 7 * total_runs / i, 'i=%d, buckets[i]=%d, expected=%d, ratio=%f' % ( i, buckets[i], 10 * total_runs / i, buckets[i] / (10.0 * total_runs / i))) self.assertTrue(buckets[i] < 14 * total_runs / i, 'i=%d, buckets[i]=%d, expected=%d, ratio=%f' % ( i, buckets[i], 10 * total_runs / i, buckets[i] / (10.0 * total_runs / i)))
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11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "buildbot"}}, "targets": [{"_type": "Name", "_fields": {"id": "module_under_test", "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": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "module_under_test", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": 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"keywords": []}}}}], "name": "test_gitDescribeToPep440p1tag", "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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "v0.9.9.post1-20-gf0f45ca"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gitDescribeToPep440", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "m", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "0.9.10-dev20"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_gitDescribeToPep440p1dev", "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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1514651968 (git-archive-version)"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getVersionFromArchiveId", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "m", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "2017.12.30"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_getVersionFromArchiveIdNoTag", "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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1514808197 (HEAD -> master, tag: v1.0.0)"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getVersionFromArchiveId", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "m", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "version", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1.0.0"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_getVersionFromArchiveIdtag", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "VersioningUtilsTests", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SynchronousTestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class VersioningUtilsTests(unittest.SynchronousTestCase): # Version utils are copied in three packages. # this unit test is made to be able to test the three versions # with the same test module_under_test = "buildbot" def setUp(self): try: self.m = __import__(self.module_under_test) except ImportError as e: raise unittest.SkipTest(self.module_under_test + " package is not installed") from e def test_gitDescribeToPep440devVersion(self): self.assertEqual(self.m.gitDescribeToPep440("v0.9.8-20-gf0f45ca"), "0.9.9-dev20") def test_gitDescribeToPep440tag(self): self.assertEqual(self.m.gitDescribeToPep440("v0.9.8"), "0.9.8") def test_gitDescribeToPep440p1tag(self): self.assertEqual(self.m.gitDescribeToPep440("v0.9.9.post1"), "0.9.9.post1") def test_gitDescribeToPep440p1dev(self): self.assertEqual(self.m.gitDescribeToPep440("v0.9.9.post1-20-gf0f45ca"), "0.9.10-dev20") def test_getVersionFromArchiveIdNoTag(self): version = self.m.getVersionFromArchiveId("1514651968 (git-archive-version)") self.assertEqual(version, "2017.12.30") def test_getVersionFromArchiveIdtag(self): version = self.m.getVersionFromArchiveId('1514808197 (HEAD -> master, tag: v1.0.0)') self.assertEqual(version, "1.0.0")
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7
{"_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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PickleCoder", "value": {"_type": "Name", "_fields": {"id": "coders", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "coder", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CounterFactory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "some-name"}}, {"_type": "Name", "_fields": {"id": "coder", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Name", "_fields": {"id": "OperationCounters", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "nan"}}], "func": {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "verify_counters", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "OldClassThatDoesNotImplementLen", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "windowed_value", "value": {"_type": "Name", "_fields": {"id": "GlobalWindows", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update_from", "value": {"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "estimate_size", "value": {"_type": "Name", "_fields": {"id": "coder", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "estimated_size", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "opcounts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Name", "_fields": {"id": "estimated_size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "verify_counters", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_update_old_object", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_update_old_object(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) obj = OldClassThatDoesNotImplementLen() value = GlobalWindows.windowed_value(obj) opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size)
14,325
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7
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def test_update_str(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) value = GlobalWindows.windowed_value('abcde') opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size)
14,326
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def test_update_multiple(self): coder = coders.PickleCoder() total_size = 0 opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) value = GlobalWindows.windowed_value('abcde') opcounts.update_from(value) total_size += coder.estimate_size(value) value = GlobalWindows.windowed_value('defghij') opcounts.update_from(value) total_size += coder.estimate_size(value) self.verify_counters(opcounts, 2, float(total_size) / 2) value = GlobalWindows.windowed_value('klmnop') opcounts.update_from(value) total_size += coder.estimate_size(value) self.verify_counters(opcounts, 3, float(total_size) / 3)
14,327
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7
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def test_update_new_object(self): coder = coders.PickleCoder() opcounts = OperationCounters(CounterFactory(), 'some-name', coder, 0) self.verify_counters(opcounts, 0, float('nan')) obj = ObjectThatDoesNotImplementLen() value = GlobalWindows.windowed_value(obj) opcounts.update_from(value) estimated_size = coder.estimate_size(value) self.verify_counters(opcounts, 1, estimated_size)
14,328
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{"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "show=%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "show", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "quoteattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}]}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "show", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "hide=%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hide", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "quoteattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}]}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hide", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "dump", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ProtoTreeItem", "bases": [{"_type": "Name", "_fields": {"id": "PacketList", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ProtoTreeItem(PacketList): def __init__(self, xmlattrs): PacketList.__init__(self) self.name = xmlattrs.get("name", "") self.showname = xmlattrs.get("showname", "") self.pos = xmlattrs.get("pos", "") self.size = xmlattrs.get("size", "") self.value = xmlattrs.get("value", "") self.show = xmlattrs.get("show", "") self.hide = xmlattrs.get("hide", "") def add_child(self, child): self.children.append(child) def get_name(self): return self.name def get_showname(self): return self.showname def get_pos(self): return self.pos def get_size(self): return self.size def get_value(self): return self.value def get_show(self): return self.show def get_hide(self): return self.hide def dump(self, fh=sys.stdout): if self.name: print >> fh, " name=%s" % (quoteattr(self.name),), if self.showname: print >> fh, "showname=%s" % (quoteattr(self.showname),), if self.pos: print >> fh, "pos=%s" % (quoteattr(self.pos),), if self.size: print >> fh, "size=%s" % (quoteattr(self.size),), if self.value: print >> fh, "value=%s" % (quoteattr(self.value),), if self.show: print >> fh, "show=%s" % (quoteattr(self.show),), if self.hide: print >> fh, "hide=%s" % (quoteattr(self.hide),),
14,329
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"value": 10.0}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 14}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "i=%d, buckets[i]=%d, expected=%d, ratio=%f"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10.0}}, "right": {"_type": "Name", "_fields": {"id": "total_runs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buckets", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "xrange", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_should_sample", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_should_sample(self): # Order of magnitude more buckets than highest constant in code under test. buckets = [0] * 300 # The seed is arbitrary and exists just to ensure this test is robust. # If you don't like this seed, try your own; the test should still pass. random.seed(1717) # Do enough runs that the expected hits even in the last buckets # is big enough to expect some statistical smoothing. total_runs = 10 * len(buckets) # Fill the buckets. for _ in xrange(total_runs): opcounts = OperationCounters(CounterFactory(), 'some-name', coders.PickleCoder(), 0) for i in xrange(len(buckets)): if opcounts.should_sample(): buckets[i] += 1 # Look at the buckets to see if they are likely. for i in xrange(10): self.assertEqual(total_runs, buckets[i]) for i in xrange(10, len(buckets)): self.assertTrue(buckets[i] > 7 * total_runs / i, 'i=%d, buckets[i]=%d, expected=%d, ratio=%f' % ( i, buckets[i], 10 * total_runs / i, buckets[i] / (10.0 * total_runs / i))) self.assertTrue(buckets[i] < 14 * total_runs / i, 'i=%d, buckets[i]=%d, expected=%d, ratio=%f' % ( i, buckets[i], 10 * total_runs / i, buckets[i] / (10.0 * total_runs / i)))
14,330
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7
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def __init__(self, xmlattrs): PacketList.__init__(self) self.name = xmlattrs.get("name", "") self.showname = xmlattrs.get("showname", "") self.pos = xmlattrs.get("pos", "") self.size = xmlattrs.get("size", "") self.value = xmlattrs.get("value", "") self.show = xmlattrs.get("show", "") self.hide = xmlattrs.get("hide", "")
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11
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def dump(self, fh=sys.stdout): if self.name: print >> fh, " name=%s" % (quoteattr(self.name),), if self.showname: print >> fh, "showname=%s" % (quoteattr(self.showname),), if self.pos: print >> fh, "pos=%s" % (quoteattr(self.pos),), if self.size: print >> fh, "size=%s" % (quoteattr(self.size),), if self.value: print >> fh, "value=%s" % (quoteattr(self.value),), if self.show: print >> fh, "show=%s" % (quoteattr(self.show),), if self.hide: print >> fh, "hide=%s" % (quoteattr(self.hide),),
14,332
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10
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class Protocol(ProtoTreeItem): def dump(self, fh=sys.stdout, indent=0): print >> fh, "%s<proto " % (" " * indent,), ProtoTreeItem.dump(self, fh) print >> fh, '>' indent += 1 for child in self.children: child.dump(fh, indent) print >> fh, " " * indent, "</proto>"
14,333
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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": "fh", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "indent", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s<proto "}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}, "right": {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dump", "value": {"_type": "Name", "_fields": {"id": "ProtoTreeItem", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": ">"}}]}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dump", "value": {"_type": "Name", "_fields": {"id": "child", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "child", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}, "right": {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "</proto>"}}]}}}}], "name": "dump", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def dump(self, fh=sys.stdout, indent=0): print >> fh, "%s<proto " % (" " * indent,), ProtoTreeItem.dump(self, fh) print >> fh, '>' indent += 1 for child in self.children: child.dump(fh, indent) print >> fh, " " * indent, "</proto>"
14,334
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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": "fh", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "indent", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": 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"right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}, "right": {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "</field>"}}]}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/>"}}]}}}}]}}], "name": "dump", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def dump(self, fh=sys.stdout, indent=0): print >> fh, "%s<field " % (" " * indent,), ProtoTreeItem.dump(self, fh) if self.children: print >> fh, ">" indent += 1 for child in self.children: child.dump(fh, indent) print >> fh, " " * indent, "</field>" else: print >> fh, "/>"
14,335
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "fh", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "indent", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "RShift", "_fields": {}}, 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{"id": "fh", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/>"}}]}}}}]}}], "name": "dump", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Field", "bases": [{"_type": "Name", "_fields": {"id": "ProtoTreeItem", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Field(ProtoTreeItem): def dump(self, fh=sys.stdout, indent=0): print >> fh, "%s<field " % (" " * indent,), ProtoTreeItem.dump(self, fh) if self.children: print >> fh, ">" indent += 1 for child in self.children: child.dump(fh, indent) print >> fh, " " * indent, "</field>" else: print >> fh, "/>"
14,336
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12
{"_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": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "xmlattrs", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "chars", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CaptureFile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "elem", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ELEMENT_FILE", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "xmlattrs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Packet", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": 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"_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ELEMENT_PROTOCOL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "xmlattrs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Field", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "elem", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ELEMENT_FIELD", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Unknown element: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}]}}]}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "elem", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "element_stack", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "startElement", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def startElement(self, name, xmlattrs): self.chars = "" if name == self.ELEMENT_FILE: # Eventually, we should check version number of pdml here elem = CaptureFile() elif name == self.ELEMENT_FRAME: elem = Packet(xmlattrs) elif name == self.ELEMENT_PROTOCOL: elem = Protocol(xmlattrs) elif name == self.ELEMENT_FIELD: elem = Field(xmlattrs) else: sys.exit("Unknown element: %s" % (name,)) self.element_stack.append(elem)
14,337
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class ParseXML(xml.sax.handler.ContentHandler): ELEMENT_FILE = "pdml" ELEMENT_FRAME = "packet" ELEMENT_PROTOCOL = "proto" ELEMENT_FIELD = "field" def __init__(self, cb): self.cb = cb self.chars = "" self.element_stack = [] def startElement(self, name, xmlattrs): self.chars = "" if name == self.ELEMENT_FILE: # Eventually, we should check version number of pdml here elem = CaptureFile() elif name == self.ELEMENT_FRAME: elem = Packet(xmlattrs) elif name == self.ELEMENT_PROTOCOL: elem = Protocol(xmlattrs) elif name == self.ELEMENT_FIELD: elem = Field(xmlattrs) else: sys.exit("Unknown element: %s" % (name,)) self.element_stack.append(elem) def endElement(self, name): elem = self.element_stack.pop() # if isinstance(elem, Field): # if elem.get_name() == "frame.number": # print >> sys.stderr, "Packet:", elem.get_show() # Add element as child to previous element as long # as there is more than 1 element in the stack. Only # one element in the stack means that the element in # the stack is the single CaptureFile element, and we don't # want to add this element to that, as we only want one # Packet element in memory at a time. if len(self.element_stack) > 1: parent_elem = self.element_stack[-1] parent_elem.add_child(elem) self.chars = "" # If we just finished a Packet element, hand it to the # user's callback. if isinstance(elem, Packet): self.cb(elem) def characters(self, chars): self.chars = self.chars + chars
14,338
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def test_lattice_simple(): assert join(join(2, 3), 4) == join(2, join(3, 4)) assert join(2, 3) == join(3, 2) assert join(0, 2) == 0 assert join(1, 2) == 2 assert join(2, 2) == 2 assert join(join(2, 3), 4) == join(2, 3, 4) assert join() == 1 assert join(4) == 4 assert join(1, 4, 2, 3, 1, 3, 2) == join(2, 3, 4)
14,339
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8
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def endElement(self, name): elem = self.element_stack.pop() # if isinstance(elem, Field): # if elem.get_name() == "frame.number": # print >> sys.stderr, "Packet:", elem.get_show() # Add element as child to previous element as long # as there is more than 1 element in the stack. Only # one element in the stack means that the element in # the stack is the single CaptureFile element, and we don't # want to add this element to that, as we only want one # Packet element in memory at a time. if len(self.element_stack) > 1: parent_elem = self.element_stack[-1] parent_elem.add_child(elem) self.chars = "" # If we just finished a Packet element, hand it to the # user's callback. if isinstance(elem, Packet): self.cb(elem)
14,340
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9
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def test_AssocOp_flatten(): a, b, c, d = symbols('a,b,c,d') class MyAssoc(AssocOp): identity = S.One assert MyAssoc(a, MyAssoc(b, c)).args == \ MyAssoc(MyAssoc(a, b), c).args == \ MyAssoc(MyAssoc(a, b, c)).args == \ MyAssoc(a, b, c).args == \ (a, b, c) u = MyAssoc(b, c) v = MyAssoc(u, d, evaluate=False) assert v.args == (u, d) # like Add, any unevaluated outer call will flatten inner args assert MyAssoc(a, v).args == (a, b, c, d)
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8
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def __init__(self, *args): rxcs._RxCSobject.__init__(self) # Make it a RxCS object self.strRxCSgroup = 'Signal generator' # Name of group of RxCS modules self.strModuleName = 'Random gaussian noise (type 2)' # Module name self.__parametersDefine() # Define the parameters # Import tools self.gaussNoise = rxcs.sig.gaussNoise() # Import basic gaussian noise generator self.oversampler = rxcs.sig.oversampler() # Import oversampler self.powerRegulator = rxcs.sig.powerRegulator()
14,342
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class TestReadsPerSampleHandler(HandlerTestBase): def setUp(self): key = "ConversionResults" qc_config = {'name': 'ReadsPerSampleHandler', 'error': 'unknown', 'warning': '90'} value = get_stats_json()["ConversionResults"] reads_per_sample_handler = ReadsPerSampleHandler(qc_config) reads_per_sample_handler.collect((key, value)) self.reads_per_sample_handler = reads_per_sample_handler def set_qc_config(self, qc_config): self.reads_per_sample_handler.qc_config = qc_config def test_all_is_fine(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': '70', 'warning': '90'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(errors_and_warnings, []) def test_warning(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': '100', 'warning': '400'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning']) def test_error(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': '400', 'warning': '500'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorFatal', 'QCErrorFatal', 'QCErrorFatal', 'QCErrorFatal']) def test_warning_when_error_unknown(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': 'unknown', 'warning': '400'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning']) def test_multiple_sampleIDs_per_sampleName(self): key = "ConversionResults" qc_config = {'name': 'ReadsPerSampleHandler', 'error': 'unknown', 'warning': '1000'} value = get_stats_json("180925_A00001_0001_BABCDEFGXX")["ConversionResults"] custom_reads_per_sample_handler = ReadsPerSampleHandler(qc_config) custom_reads_per_sample_handler.collect((key, value)) errors_and_warnings = list(custom_reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning'])
14,343
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9
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class DisplayTransform() : # have to store it inside a list so python doesn't # keep trying to turn it into a method. __linearToDisplay = [ lambda c : c ] @classmethod def set( cls, linearToDisplayCallable ) : cls.__linearToDisplay[0] = linearToDisplayCallable cls.changedSignal()() @classmethod def get( cls ) : return cls.__linearToDisplay[0] __changedSignal = Gaffer.Signal0() @classmethod def changedSignal( cls ) : return cls.__changedSignal
14,344
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9
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def test_warning(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': '100', 'warning': '400'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning'])
14,345
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9
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def test_error(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': '400', 'warning': '500'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorFatal', 'QCErrorFatal', 'QCErrorFatal', 'QCErrorFatal'])
14,346
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8
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def test_multiple_sampleIDs_per_sampleName(self): key = "ConversionResults" qc_config = {'name': 'ReadsPerSampleHandler', 'error': 'unknown', 'warning': '1000'} value = get_stats_json("180925_A00001_0001_BABCDEFGXX")["ConversionResults"] custom_reads_per_sample_handler = ReadsPerSampleHandler(qc_config) custom_reads_per_sample_handler.collect((key, value)) errors_and_warnings = list(custom_reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning'])
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9
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def test_warning_when_error_unknown(self): qc_config = {'name': 'ReadsPerSampleHandler', 'error': 'unknown', 'warning': '400'} self.set_qc_config(qc_config) errors_and_warnings = list(self.reads_per_sample_handler.check_qc()) self.assertEqual(len(errors_and_warnings), 4) class_names = self.map_errors_and_warnings_to_class_names(errors_and_warnings) self.assertListEqual(class_names, ['QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning', 'QCErrorWarning'])
14,348
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10
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class TestDeviceObjInit(unittest.TestCase): def setUp(self): self.device = MagicMock() self.device.server.jsonrpc = MagicMock() def test_init(self): kwargs = {"text": "text", "className": "android"} self.device_obj = AutomatorDeviceObject(self.device, Selector(**kwargs)) self.assertEqual(self.device_obj.selector, Selector(**kwargs)) self.assertEqual(self.device_obj.jsonrpc, self.device.server.jsonrpc)
14,349
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9
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def test_init(self): kwargs = {"text": "text", "className": "android"} self.device_obj = AutomatorDeviceObject(self.device, Selector(**kwargs)) self.assertEqual(self.device_obj.selector, Selector(**kwargs)) self.assertEqual(self.device_obj.jsonrpc, self.device.server.jsonrpc)
14,350
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10
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def test_exists(self): self.jsonrpc.exist = MagicMock() self.jsonrpc.exist.return_value = True self.assertTrue(self.obj.exists) self.jsonrpc.exist.return_value = False self.assertFalse(self.obj.exists) self.assertEqual(self.jsonrpc.exist.call_args_list, [call(self.obj.selector), call(self.obj.selector)])
14,351
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12
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"attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestDeviceObj(unittest.TestCase): def setUp(self): self.device = MagicMock() self.jsonrpc = self.device.server.jsonrpc = MagicMock() self.jsonrpc_wrap = self.device.server.jsonrpc_wrap = MagicMock() self.kwargs = {"text": "text", "className": "android"} self.obj = AutomatorDeviceObject(self.device, Selector(**self.kwargs)) def test_child_selector(self): kwargs = {"text": "child text", "className": "android"} obj = self.obj.child_selector(**kwargs) self.assertEqual(len(obj.selector['childOrSibling']), 1) self.assertEqual(obj.selector['childOrSibling'][0], 'child') self.assertEqual(len(obj.selector['childOrSiblingSelector']), 1) self.assertEqual(obj.selector['childOrSiblingSelector'][0], Selector(**kwargs)) def test_from_parent(self): kwargs = {"text": "parent text", "className": "android"} obj = self.obj.from_parent(**kwargs) self.assertEqual(len(obj.selector['childOrSibling']), 1) self.assertEqual(obj.selector['childOrSibling'][0], 'sibling') self.assertEqual(len(obj.selector['childOrSiblingSelector']), 1) self.assertEqual(obj.selector['childOrSiblingSelector'][0], Selector(**kwargs)) def test_exists(self): self.jsonrpc.exist = MagicMock() self.jsonrpc.exist.return_value = True self.assertTrue(self.obj.exists) self.jsonrpc.exist.return_value = False self.assertFalse(self.obj.exists) self.assertEqual(self.jsonrpc.exist.call_args_list, [call(self.obj.selector), call(self.obj.selector)]) def test_info(self): info = {"text": "item text"} self.jsonrpc.objInfo.return_value = info self.assertEqual(self.obj.info, info) self.jsonrpc.objInfo.assert_called_once_with(self.obj.selector) def test_info_attr(self): info = {'contentDescription': '', 'checked': False, 'scrollable': False, 'text': '', 'packageName': 'android', 'selected': False, 'enabled': True, 'bounds': {'top': 0, 'left': 0, 'right': 720, 'bottom': 1184}, 'className': 'android.widget.FrameLayout', 'focusable': False, 'focused': False, 'clickable': False, 'checkable': False, 'chileCount': 2, 'longClickable': False, 'visibleBounds': {'top': 0, 'left': 0, 'right': 720, 'bottom': 1184}} self.jsonrpc.objInfo.return_value = info self.assertEqual(self.obj.info, info) self.jsonrpc.objInfo.assert_called_once_with(self.obj.selector) self.assertEqual(self.obj.description, info["contentDescription"]) for k in info: self.assertEqual(getattr(self.obj, k), info[k]) with self.assertRaises(AttributeError): self.obj.not_exists def test_text(self): self.jsonrpc.clearTextField = MagicMock() self.obj.set_text(None) self.obj.set_text("") self.obj.clear_text() self.assertEqual(self.jsonrpc.clearTextField.call_args_list, [call(self.obj.selector), call(self.obj.selector), call(self.obj.selector)]) self.jsonrpc.setText.return_value = False texts = ["abc", "123", "()#*$&"] for text in texts: self.assertFalse(self.obj.set_text(text)) self.assertEqual(self.jsonrpc.setText.call_args_list, [call(self.obj.selector, t) for t in texts]) def test_click(self): self.jsonrpc.click.return_value = False corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.click(c)) self.assertEqual(self.jsonrpc.click.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.click = MagicMock() self.jsonrpc.click.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.click, c)()) self.assertEqual(self.jsonrpc.click.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.click = MagicMock() self.jsonrpc.click.return_value = True self.assertTrue(self.obj.click()) self.jsonrpc.click.assert_called_once_with(self.obj.selector) def test_click_wait(self): self.jsonrpc.clickAndWaitForNewWindow.return_value = True self.assertTrue(self.obj.click.wait(timeout=321)) self.jsonrpc.clickAndWaitForNewWindow.assert_called_once_with(self.obj.selector, 321) def test_long_click(self): self.jsonrpc.longClick.return_value = False corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.long_click(c)) self.assertEqual(self.jsonrpc.longClick.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.longClick = MagicMock() self.jsonrpc.longClick.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.long_click, c)()) self.assertEqual(self.jsonrpc.longClick.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.longClick = MagicMock() self.jsonrpc.longClick.return_value = True self.assertTrue(self.obj.long_click()) self.jsonrpc.longClick.assert_called_once_with(self.obj.selector) def test_long_click_using_swipe(self): self.device.long_click.return_value = False self.jsonrpc.objInfo.return_value = { 'longClickable': False, 'visibleBounds': { 'top': 0, 'bottom': 60, 'left': 0, 'right': 60 } } corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.long_click(c)) self.assertEqual(self.device.long_click.call_args_list, [call(10, 10), call(10, 10), call(50, 50), call(50, 50)]) self.device.long_click = MagicMock() self.device.long_click.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.long_click, c)()) self.assertEqual(self.device.long_click.call_args_list, [call(10, 10), call(10, 10), call(50, 50), call(50, 50)]) self.device.long_click = MagicMock() self.device.long_click.return_value = True self.assertTrue(self.obj.long_click()) self.device.long_click.assert_called_once_with(30, 30) def test_drag_to(self): self.jsonrpc.dragTo.return_value = False self.assertFalse(self.obj.drag.to(10, 20, steps=10)) self.jsonrpc.dragTo.return_value = True self.assertTrue(self.obj.drag.to(x=10, y=20, steps=20)) sel = {"text": "text..."} self.assertTrue(self.obj.drag.to(steps=30, **sel)) self.assertEqual(self.jsonrpc.dragTo.call_args_list, [call(self.obj.selector, 10, 20, 10), call(self.obj.selector, 10, 20, 20), call(self.obj.selector, Selector(**sel), 30)]) def test_gesture(self): self.jsonrpc.gesture.return_value = True self.assertTrue(self.obj.gesture((1, 1), (2, 2), (3, 3), (4, 4), 100)) self.assertTrue(self.obj.gesture(4, 3).to(2, 1, 20)) self.assertEqual(self.jsonrpc.gesture.call_args_list, [call(self.obj.selector, {'x':1, 'y': 1}, {'x':2, 'y':2}, {'x':3, 'y':3}, {'x':4, 'y':4}, 100), call(self.obj.selector, 4, 3, 2, 1, 20)]) def test_pinch(self): self.jsonrpc.pinchIn.return_value = True self.assertTrue(self.obj.pinch.In(percent=90, steps=30)) self.assertTrue(self.obj.pinch("in", 80, 40)) self.assertTrue(self.obj.pinch("In", 70, 50)) self.assertEqual(self.jsonrpc.pinchIn.call_args_list, [call(self.obj.selector, 90, 30), call(self.obj.selector, 80, 40), call(self.obj.selector, 70, 50)]) self.jsonrpc.pinchOut.return_value = True self.assertTrue(self.obj.pinch.Out(percent=90, steps=30)) self.assertTrue(self.obj.pinch("out", 80, 40)) self.assertTrue(self.obj.pinch("Out", 70, 50)) self.assertEqual(self.jsonrpc.pinchIn.call_args_list, [call(self.obj.selector, 90, 30), call(self.obj.selector, 80, 40), call(self.obj.selector, 70, 50)]) def test_swipe(self): self.jsonrpc.swipe.return_value = True dirs = ["up", "down", "right", "left"] for d in dirs: self.assertTrue(self.obj.swipe(d, 30)) self.assertEqual(self.jsonrpc.swipe.call_args_list, [call(self.obj.selector, d, 30) for d in dirs]) self.jsonrpc.swipe = MagicMock() self.jsonrpc.swipe.return_value = True dirs = ["up", "down", "right", "left"] for d in dirs: self.assertTrue(getattr(self.obj.swipe, d)(steps=30)) self.assertEqual(self.jsonrpc.swipe.call_args_list, [call(self.obj.selector, d, 30) for d in dirs]) def test_fling(self): self.jsonrpc.flingForward.return_value = True self.assertTrue(self.obj.fling.horiz.forward()) self.assertTrue(self.obj.fling.horizentally.forward()) self.assertTrue(self.obj.fling.vert.forward()) self.assertTrue(self.obj.fling()) self.assertEqual(self.jsonrpc.flingForward.call_args_list, [call(self.obj.selector, False), call(self.obj.selector, False), call(self.obj.selector, True), call(self.obj.selector, True)]) self.jsonrpc.flingBackward.return_value = True self.assertTrue(self.obj.fling.horiz.backward()) self.assertTrue(self.obj.fling.horizentally.backward()) self.assertTrue(self.obj.fling.vert.backward()) self.assertTrue(self.obj.fling.vertically.backward()) self.assertEqual(self.jsonrpc.flingBackward.call_args_list, [call(self.obj.selector, False), call(self.obj.selector, False), call(self.obj.selector, True), call(self.obj.selector, True)]) max_swipes = 1000 self.jsonrpc.flingToBeginning.return_value = True self.assertTrue(self.obj.fling.horiz.toBeginning()) self.assertTrue(self.obj.fling.horizentally.toBeginning()) self.assertTrue(self.obj.fling.vert.toBeginning()) self.assertTrue(self.obj.fling.vertically.toBeginning(max_swipes=100)) self.assertEqual(self.jsonrpc.flingToBeginning.call_args_list, [call(self.obj.selector, False, max_swipes), call(self.obj.selector, False, max_swipes), call(self.obj.selector, True, max_swipes), call(self.obj.selector, True, 100)]) self.jsonrpc.flingToEnd.return_value = True self.assertTrue(self.obj.fling.horiz.toEnd()) self.assertTrue(self.obj.fling.horizentally.toEnd()) self.assertTrue(self.obj.fling.vert.toEnd()) self.assertTrue(self.obj.fling.vertically.toEnd(max_swipes=100)) self.assertEqual(self.jsonrpc.flingToEnd.call_args_list, [call(self.obj.selector, False, max_swipes), call(self.obj.selector, False, max_swipes), call(self.obj.selector, True, max_swipes), call(self.obj.selector, True, 100)]) def skip_test_scroll(self): steps = 100 max_swipes = 500 self.jsonrpc.scrollForward.return_value = True self.assertTrue(self.obj.scroll.horiz.forward()) self.assertTrue(self.obj.scroll.horizentally.forward()) self.assertTrue(self.obj.scroll.vert.forward()) self.assertTrue(self.obj.scroll(steps=50)) self.assertEqual(self.jsonrpc.scrollForward.call_args_list, [call(self.obj.selector, False, steps), call(self.obj.selector, False, steps), call(self.obj.selector, True, steps), call(self.obj.selector, True, 20)]) self.jsonrpc.scrollBackward.return_value = True self.assertTrue(self.obj.scroll.horiz.backward()) self.assertTrue(self.obj.scroll.horizentally.backward()) self.assertTrue(self.obj.scroll.vert.backward()) self.assertTrue(self.obj.scroll.vertically.backward(steps=20)) self.assertEqual(self.jsonrpc.scrollBackward.call_args_list, [call(self.obj.selector, False, steps), call(self.obj.selector, False, steps), call(self.obj.selector, True, steps), call(self.obj.selector, True, 20)]) self.jsonrpc.scrollToBeginning.return_value = True self.assertTrue(self.obj.scroll.horiz.toBeginning()) self.assertTrue(self.obj.scroll.horizentally.toBeginning()) self.assertTrue(self.obj.scroll.vert.toBeginning()) self.assertTrue(self.obj.scroll.vertically.toBeginning(steps=20, max_swipes=200)) self.assertEqual(self.jsonrpc.scrollToBeginning.call_args_list, [call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, True, max_swipes, steps), call(self.obj.selector, True, 100, 20)]) self.jsonrpc.scrollToEnd.return_value = True self.assertTrue(self.obj.scroll.horiz.toEnd()) self.assertTrue(self.obj.scroll.horizentally.toEnd()) self.assertTrue(self.obj.scroll.vert.toEnd()) self.assertTrue(self.obj.scroll.vertically.toEnd(steps=20, max_swipes=500)) self.assertEqual(self.jsonrpc.scrollToEnd.call_args_list, [call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, True, max_swipes, steps), call(self.obj.selector, True, 100, 20)]) info = {"text": "..."} self.jsonrpc.scrollTo.return_value = True self.assertTrue(self.obj.scroll.horiz.to(**info)) self.assertTrue(self.obj.scroll.horizentally.to(**info)) self.assertTrue(self.obj.scroll.vert.to(**info)) self.assertTrue(self.obj.scroll.vertically.to(**info)) self.assertEqual(self.jsonrpc.scrollTo.call_args_list, [call(self.obj.selector, Selector(**info), False), call(self.obj.selector, Selector(**info), False), call(self.obj.selector, Selector(**info), True), call(self.obj.selector, Selector(**info), True)]) def test_wait(self): timeout = 3000 self.jsonrpc_wrap.return_value.waitUntilGone.return_value = True self.assertTrue(self.obj.wait.gone()) self.jsonrpc_wrap.return_value.waitUntilGone.assert_called_once_with(self.obj.selector, timeout) self.jsonrpc_wrap.return_value.waitForExists.return_value = True self.assertTrue(self.obj.wait.exists(timeout=10)) self.jsonrpc_wrap.return_value.waitForExists.assert_called_once_with(self.obj.selector, 10) def test_child_by_text(self): self.jsonrpc.childByText.return_value = "myname" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child_by_text("child text", **kwargs) self.jsonrpc.childByText.assert_called_once_with(Selector(**self.kwargs), Selector(**kwargs), "child text") self.assertEqual("myname", generic_obj.selector) def test_child_by_text_allow_scroll_search(self): self.jsonrpc.childByText.return_value = "myname" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child_by_text("child text", allow_scroll_search=False, **kwargs) self.jsonrpc.childByText.assert_called_once_with( Selector(**self.kwargs), Selector(**kwargs), "child text", False) self.assertEqual("myname", generic_obj.selector) def test_child_by_description(self): self.jsonrpc.childByDescription.return_value = "myname" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child_by_description("child text", **kwargs) self.jsonrpc.childByDescription.assert_called_once_with( Selector(**self.kwargs), Selector(**kwargs), "child text") self.assertEqual("myname", generic_obj.selector) def test_child_by_description_allow_scroll_search(self): self.jsonrpc.childByDescription.return_value = "myname" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child_by_description("child text", allow_scroll_search=False, **kwargs) self.jsonrpc.childByDescription.assert_called_once_with( Selector(**self.kwargs), Selector(**kwargs), "child text", False) self.assertEqual("myname", generic_obj.selector) def test_child_by_instance(self): self.jsonrpc.childByInstance.return_value = "myname" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child_by_instance(1234, **kwargs) self.jsonrpc.childByInstance.assert_called_once_with(Selector(**self.kwargs), Selector(**kwargs), 1234) self.assertEqual("myname", generic_obj.selector) def test_count(self): self.jsonrpc.count.return_value = 10 self.assertEqual(self.obj.count, 10) self.jsonrpc.count.assert_called_once_with(Selector(**self.kwargs)) def test_len(self): self.jsonrpc.count.return_value = 10 self.assertEqual(len(self.obj), 10) def test_instance_list(self): count = 10 self.jsonrpc.count.return_value = count for i in range(count): self.assertEqual(self.obj[i].selector["instance"], i) with self.assertRaises(IndexError): self.obj[count] self.jsonrpc.count.return_value = 1 self.assertEqual(self.obj[0], self.obj) def test_instance_iter(self): count = 10 self.jsonrpc.count.return_value = count for index, inst in enumerate(self.obj): self.assertEqual(inst.selector["instance"], index) def test_left(self): self.jsonrpc.objInfo.side_effect = [ {"bounds": {'top': 200, 'bottom': 250, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 150, 'right': 200}}, {"bounds": {'top': 200, 'bottom': 300, 'left': 150, 'right': 200}}, {"bounds": {'top': 200, 'bottom': 300, 'left': 50, 'right': 100}} ] self.jsonrpc.count.return_value = 3 self.assertEqual(self.obj.left().selector["instance"], 2) def test_right(self): self.jsonrpc.objInfo.side_effect = [ {"bounds": {'top': 200, 'bottom': 250, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 150, 'right': 200}}, {"bounds": {'top': 200, 'bottom': 300, 'left': 50, 'right': 100}}, {"bounds": {'top': 200, 'bottom': 300, 'left': 150, 'right': 200}} ] self.jsonrpc.count.return_value = 3 self.assertEqual(self.obj.right().selector["instance"], 2) def test_up(self): self.jsonrpc.objInfo.side_effect = [ {"bounds": {'top': 200, 'bottom': 250, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 100, 'right': 150}}, {"bounds": {'top': 150, 'bottom': 200, 'left': 150, 'right': 200}}, {"bounds": {'top': 150, 'bottom': 200, 'left': 100, 'right': 200}} ] self.jsonrpc.count.return_value = 3 self.assertEqual(self.obj.up().selector["instance"], 2) def test_down(self): self.jsonrpc.objInfo.side_effect = [ {"bounds": {'top': 200, 'bottom': 250, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 150, 'right': 200}}, {"bounds": {'top': 150, 'bottom': 200, 'left': 150, 'right': 200}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 100, 'right': 150}} ] self.jsonrpc.count.return_value = 3 self.assertEqual(self.obj.down().selector["instance"], 2) def test_multiple_matched_down(self): self.jsonrpc.objInfo.side_effect = [ {"bounds": {'top': 200, 'bottom': 250, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 300, 'left': 150, 'right': 200}}, {"bounds": {'top': 150, 'bottom': 200, 'left': 150, 'right': 200}}, {"bounds": {'top': 275, 'bottom': 300, 'left': 100, 'right': 150}}, {"bounds": {'top': 300, 'bottom': 350, 'left': 100, 'right': 150}}, {"bounds": {'top': 250, 'bottom': 275, 'left': 100, 'right': 150}} ] self.jsonrpc.count.return_value = 5 self.assertEqual(self.obj.down().selector["instance"], 4)
14,352
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{"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "texts", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_args_list", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setText", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "ListComp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "texts", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_text", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_text(self): self.jsonrpc.clearTextField = MagicMock() self.obj.set_text(None) self.obj.set_text("") self.obj.clear_text() self.assertEqual(self.jsonrpc.clearTextField.call_args_list, [call(self.obj.selector), call(self.obj.selector), call(self.obj.selector)]) self.jsonrpc.setText.return_value = False texts = ["abc", "123", "()#*$&"] for text in texts: self.assertFalse(self.obj.set_text(text)) self.assertEqual(self.jsonrpc.setText.call_args_list, [call(self.obj.selector, t) for t in texts])
14,353
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9
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def test_info_attr(self): info = {'contentDescription': '', 'checked': False, 'scrollable': False, 'text': '', 'packageName': 'android', 'selected': False, 'enabled': True, 'bounds': {'top': 0, 'left': 0, 'right': 720, 'bottom': 1184}, 'className': 'android.widget.FrameLayout', 'focusable': False, 'focused': False, 'clickable': False, 'checkable': False, 'chileCount': 2, 'longClickable': False, 'visibleBounds': {'top': 0, 'left': 0, 'right': 720, 'bottom': 1184}} self.jsonrpc.objInfo.return_value = info self.assertEqual(self.obj.info, info) self.jsonrpc.objInfo.assert_called_once_with(self.obj.selector) self.assertEqual(self.obj.description, info["contentDescription"]) for k in info: self.assertEqual(getattr(self.obj, k), info[k]) with self.assertRaises(AttributeError): self.obj.not_exists
14,354
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11
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def test_click(self): self.jsonrpc.click.return_value = False corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.click(c)) self.assertEqual(self.jsonrpc.click.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.click = MagicMock() self.jsonrpc.click.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.click, c)()) self.assertEqual(self.jsonrpc.click.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.click = MagicMock() self.jsonrpc.click.return_value = True self.assertTrue(self.obj.click()) self.jsonrpc.click.assert_called_once_with(self.obj.selector)
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11
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def test_long_click(self): self.jsonrpc.longClick.return_value = False corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.long_click(c)) self.assertEqual(self.jsonrpc.longClick.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.longClick = MagicMock() self.jsonrpc.longClick.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.long_click, c)()) self.assertEqual(self.jsonrpc.longClick.call_args_list, [call(self.obj.selector, c) for c in corners]) self.jsonrpc.longClick = MagicMock() self.jsonrpc.longClick.return_value = True self.assertTrue(self.obj.long_click()) self.jsonrpc.longClick.assert_called_once_with(self.obj.selector)
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10
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def test_drag_to(self): self.jsonrpc.dragTo.return_value = False self.assertFalse(self.obj.drag.to(10, 20, steps=10)) self.jsonrpc.dragTo.return_value = True self.assertTrue(self.obj.drag.to(x=10, y=20, steps=20)) sel = {"text": "text..."} self.assertTrue(self.obj.drag.to(steps=30, **sel)) self.assertEqual(self.jsonrpc.dragTo.call_args_list, [call(self.obj.selector, 10, 20, 10), call(self.obj.selector, 10, 20, 20), call(self.obj.selector, Selector(**sel), 30)])
14,357
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11
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[]}}], "type_ignores": []}}
def test_long_click_using_swipe(self): self.device.long_click.return_value = False self.jsonrpc.objInfo.return_value = { 'longClickable': False, 'visibleBounds': { 'top': 0, 'bottom': 60, 'left': 0, 'right': 60 } } corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertFalse(self.obj.long_click(c)) self.assertEqual(self.device.long_click.call_args_list, [call(10, 10), call(10, 10), call(50, 50), call(50, 50)]) self.device.long_click = MagicMock() self.device.long_click.return_value = True corners = ["tl", "topleft", "br", "bottomright"] for c in corners: self.assertTrue(getattr(self.obj.long_click, c)()) self.assertEqual(self.device.long_click.call_args_list, [call(10, 10), call(10, 10), call(50, 50), call(50, 50)]) self.device.long_click = MagicMock() self.device.long_click.return_value = True self.assertTrue(self.obj.long_click()) self.device.long_click.assert_called_once_with(30, 30)
14,358
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11
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"_fields": {"kind": null, "value": 30}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "dirs", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_swipe", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_swipe(self): self.jsonrpc.swipe.return_value = True dirs = ["up", "down", "right", "left"] for d in dirs: self.assertTrue(self.obj.swipe(d, 30)) self.assertEqual(self.jsonrpc.swipe.call_args_list, [call(self.obj.selector, d, 30) for d in dirs]) self.jsonrpc.swipe = MagicMock() self.jsonrpc.swipe.return_value = True dirs = ["up", "down", "right", "left"] for d in dirs: self.assertTrue(getattr(self.obj.swipe, d)(steps=30)) self.assertEqual(self.jsonrpc.swipe.call_args_list, [call(self.obj.selector, d, 30) for d in dirs])
14,359
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10
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def test_pinch(self): self.jsonrpc.pinchIn.return_value = True self.assertTrue(self.obj.pinch.In(percent=90, steps=30)) self.assertTrue(self.obj.pinch("in", 80, 40)) self.assertTrue(self.obj.pinch("In", 70, 50)) self.assertEqual(self.jsonrpc.pinchIn.call_args_list, [call(self.obj.selector, 90, 30), call(self.obj.selector, 80, 40), call(self.obj.selector, 70, 50)]) self.jsonrpc.pinchOut.return_value = True self.assertTrue(self.obj.pinch.Out(percent=90, steps=30)) self.assertTrue(self.obj.pinch("out", 80, 40)) self.assertTrue(self.obj.pinch("Out", 70, 50)) self.assertEqual(self.jsonrpc.pinchIn.call_args_list, [call(self.obj.selector, 90, 30), call(self.obj.selector, 80, 40), call(self.obj.selector, 70, 50)])
14,360
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{}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 1000}}, "targets": [{"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flingToBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "horiz", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "horizentally", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vertically", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_swipes", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 100}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_args_list", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flingToBeginning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}], "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": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flingToEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "horiz", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "horizentally", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vertically", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fling", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_swipes", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 100}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_args_list", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flingToEnd", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Name", "_fields": {"id": "max_swipes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_fling", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_fling(self): self.jsonrpc.flingForward.return_value = True self.assertTrue(self.obj.fling.horiz.forward()) self.assertTrue(self.obj.fling.horizentally.forward()) self.assertTrue(self.obj.fling.vert.forward()) self.assertTrue(self.obj.fling()) self.assertEqual(self.jsonrpc.flingForward.call_args_list, [call(self.obj.selector, False), call(self.obj.selector, False), call(self.obj.selector, True), call(self.obj.selector, True)]) self.jsonrpc.flingBackward.return_value = True self.assertTrue(self.obj.fling.horiz.backward()) self.assertTrue(self.obj.fling.horizentally.backward()) self.assertTrue(self.obj.fling.vert.backward()) self.assertTrue(self.obj.fling.vertically.backward()) self.assertEqual(self.jsonrpc.flingBackward.call_args_list, [call(self.obj.selector, False), call(self.obj.selector, False), call(self.obj.selector, True), call(self.obj.selector, True)]) max_swipes = 1000 self.jsonrpc.flingToBeginning.return_value = True self.assertTrue(self.obj.fling.horiz.toBeginning()) self.assertTrue(self.obj.fling.horizentally.toBeginning()) self.assertTrue(self.obj.fling.vert.toBeginning()) self.assertTrue(self.obj.fling.vertically.toBeginning(max_swipes=100)) self.assertEqual(self.jsonrpc.flingToBeginning.call_args_list, [call(self.obj.selector, False, max_swipes), call(self.obj.selector, False, max_swipes), call(self.obj.selector, True, max_swipes), call(self.obj.selector, True, 100)]) self.jsonrpc.flingToEnd.return_value = True self.assertTrue(self.obj.fling.horiz.toEnd()) self.assertTrue(self.obj.fling.horizentally.toEnd()) self.assertTrue(self.obj.fling.vert.toEnd()) self.assertTrue(self.obj.fling.vertically.toEnd(max_swipes=100)) self.assertEqual(self.jsonrpc.flingToEnd.call_args_list, [call(self.obj.selector, False, max_swipes), call(self.obj.selector, False, max_swipes), call(self.obj.selector, True, max_swipes), call(self.obj.selector, True, 100)])
14,361
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Name", "_fields": {"id": "call", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "skip_test_scroll", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def skip_test_scroll(self): steps = 100 max_swipes = 500 self.jsonrpc.scrollForward.return_value = True self.assertTrue(self.obj.scroll.horiz.forward()) self.assertTrue(self.obj.scroll.horizentally.forward()) self.assertTrue(self.obj.scroll.vert.forward()) self.assertTrue(self.obj.scroll(steps=50)) self.assertEqual(self.jsonrpc.scrollForward.call_args_list, [call(self.obj.selector, False, steps), call(self.obj.selector, False, steps), call(self.obj.selector, True, steps), call(self.obj.selector, True, 20)]) self.jsonrpc.scrollBackward.return_value = True self.assertTrue(self.obj.scroll.horiz.backward()) self.assertTrue(self.obj.scroll.horizentally.backward()) self.assertTrue(self.obj.scroll.vert.backward()) self.assertTrue(self.obj.scroll.vertically.backward(steps=20)) self.assertEqual(self.jsonrpc.scrollBackward.call_args_list, [call(self.obj.selector, False, steps), call(self.obj.selector, False, steps), call(self.obj.selector, True, steps), call(self.obj.selector, True, 20)]) self.jsonrpc.scrollToBeginning.return_value = True self.assertTrue(self.obj.scroll.horiz.toBeginning()) self.assertTrue(self.obj.scroll.horizentally.toBeginning()) self.assertTrue(self.obj.scroll.vert.toBeginning()) self.assertTrue(self.obj.scroll.vertically.toBeginning(steps=20, max_swipes=200)) self.assertEqual(self.jsonrpc.scrollToBeginning.call_args_list, [call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, True, max_swipes, steps), call(self.obj.selector, True, 100, 20)]) self.jsonrpc.scrollToEnd.return_value = True self.assertTrue(self.obj.scroll.horiz.toEnd()) self.assertTrue(self.obj.scroll.horizentally.toEnd()) self.assertTrue(self.obj.scroll.vert.toEnd()) self.assertTrue(self.obj.scroll.vertically.toEnd(steps=20, max_swipes=500)) self.assertEqual(self.jsonrpc.scrollToEnd.call_args_list, [call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, False, max_swipes, steps), call(self.obj.selector, True, max_swipes, steps), call(self.obj.selector, True, 100, 20)]) info = {"text": "..."} self.jsonrpc.scrollTo.return_value = True self.assertTrue(self.obj.scroll.horiz.to(**info)) self.assertTrue(self.obj.scroll.horizentally.to(**info)) self.assertTrue(self.obj.scroll.vert.to(**info)) self.assertTrue(self.obj.scroll.vertically.to(**info)) self.assertEqual(self.jsonrpc.scrollTo.call_args_list, [call(self.obj.selector, Selector(**info), False), call(self.obj.selector, Selector(**info), False), call(self.obj.selector, Selector(**info), True), call(self.obj.selector, Selector(**info), True)])
14,362
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11
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{"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_instance_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_instance_list(self): count = 10 self.jsonrpc.count.return_value = count for i in range(count): self.assertEqual(self.obj[i].selector["instance"], i) with self.assertRaises(IndexError): self.obj[count] self.jsonrpc.count.return_value = 1 self.assertEqual(self.obj[0], self.obj)
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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": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 3000}}, "targets": [{"_type": "Name", "_fields": {"id": "timeout", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "waitUntilGone", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc_wrap", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gone", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "timeout", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "waitUntilGone", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc_wrap", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "waitForExists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc_wrap", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "timeout", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "obj", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "waitForExists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc_wrap", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}}}], "name": "test_wait", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_wait(self): timeout = 3000 self.jsonrpc_wrap.return_value.waitUntilGone.return_value = True self.assertTrue(self.obj.wait.gone()) self.jsonrpc_wrap.return_value.waitUntilGone.assert_called_once_with(self.obj.selector, timeout) self.jsonrpc_wrap.return_value.waitForExists.return_value = True self.assertTrue(self.obj.wait.exists(timeout=10)) self.jsonrpc_wrap.return_value.waitForExists.assert_called_once_with(self.obj.selector, 10)
14,364
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11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "test_usgs-cida-maurer.json"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "fixtures", "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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "geom_gmap_static_url", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "UserGeometryMetadata", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "pk", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "color", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "0x00ff00"}}}}, {"_type": "keyword", "_fields": {"arg": "weight", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urlopen", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "http://maps.googleapis.com/maps/api/staticmap?size=512x256&sensor=false&path=color:0x00ff00|weight:10|enc:_ilhE~f_cU?~oR_pR?~oR_pR&path=color:0x00ff00|weight:10|enc:_ilhE~|{|T?~oR_pR?~oR_pR"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_geom_gmap_static_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "UserGeometryMetadataTest", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class UserGeometryMetadataTest(TestCase): fixtures = ['test_usgs-cida-maurer.json'] def test_geom_gmap_static_url(self): url = UserGeometryMetadata.objects.get(pk=1).geom_gmap_static_url( color='0x00ff00', weight=10 ) # try out the URL urllib.urlopen(url) self.assertEqual( url, 'http://maps.googleapis.com/maps/api/staticmap' '?size=512x256&sensor=false' '&path=color:0x00ff00|weight:10' '|enc:_ilhE~f_cU?~oR_pR?~oR_pR' '&path=color:0x00ff00|weight:10' '|enc:_ilhE~|{|T?~oR_pR?~oR_pR' )
14,365
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{"id": "generic_obj", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getFromParent", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selector", "value": {"_type": "Name", "_fields": {"id": "generic_obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "return_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getFromParent", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jsonrpc", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_sibling", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestAutomatorDeviceNamedUiObject", "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 TestAutomatorDeviceNamedUiObject(unittest.TestCase): def setUp(self): self.device = MagicMock() self.jsonrpc = self.device.server.jsonrpc = MagicMock() self.name = "my-name" self.obj = AutomatorDeviceNamedUiObject(self.device, self.name) def test_child(self): self.jsonrpc.getChild.return_value = "another-name" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.child(**kwargs) self.jsonrpc.getChild.assert_called_once_with(self.name, Selector(**kwargs)) self.assertEqual(generic_obj.selector, self.jsonrpc.getChild.return_value) def test_sibling(self): self.jsonrpc.getFromParent.return_value = "another-name" kwargs = {"className": "android", "text": "patern match text"} generic_obj = self.obj.sibling(**kwargs) self.jsonrpc.getFromParent.assert_called_once_with(self.name, Selector(**kwargs)) self.assertEqual(generic_obj.selector, self.jsonrpc.getFromParent.return_value)
14,366
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "test_usgs-cida-maurer.json"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "fixtures", "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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "Scenario", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metadata_list", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Experiments"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metadata_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ScenarioTest", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ScenarioTest(TestCase): fixtures = ['test_usgs-cida-maurer.json'] def test_metadata_list(self): test = Scenario.objects.all()[0] # get the first scenario object # # get the associate list of metadata # metadata_list = test.scenariometadataurl_set.model.objects.filter(scenario=test.pk) self.assertEquals( test.metadata_list(), ['External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Experiments'] )
14,367
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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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "geom_gmap_static_url", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "UserGeometryMetadata", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "pk", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "color", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "0x00ff00"}}}}, {"_type": "keyword", "_fields": {"arg": "weight", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urlopen", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "http://maps.googleapis.com/maps/api/staticmap?size=512x256&sensor=false&path=color:0x00ff00|weight:10|enc:_ilhE~f_cU?~oR_pR?~oR_pR&path=color:0x00ff00|weight:10|enc:_ilhE~|{|T?~oR_pR?~oR_pR"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_geom_gmap_static_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_geom_gmap_static_url(self): url = UserGeometryMetadata.objects.get(pk=1).geom_gmap_static_url( color='0x00ff00', weight=10 ) # try out the URL urllib.urlopen(url) self.assertEqual( url, 'http://maps.googleapis.com/maps/api/staticmap' '?size=512x256&sensor=false' '&path=color:0x00ff00|weight:10' '|enc:_ilhE~f_cU?~oR_pR?~oR_pR' '&path=color:0x00ff00|weight:10' '|enc:_ilhE~|{|T?~oR_pR?~oR_pR' )
14,368
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "test_usgs-cida-maurer.json"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "fixtures", "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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "ClimateModel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metadata_list", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "filter_field", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "model"}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www-pcmdi.llnl.gov/ipcc/model_documentation/BCC-CM1.htm"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www.ipcc-data.org/ar4/model-BCC-CM1-change.html"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://bcc.cma.gov.cn/CSMD/en/"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metadata_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ClimateModelTest", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ClimateModelTest(TestCase): fixtures = ['test_usgs-cida-maurer.json'] def test_metadata_list(self): test = ClimateModel.objects.all()[0] # get the first climate model object self.assertEquals( test.metadata_list(filter_field='model'), ['External Metadata :: http://www-pcmdi.llnl.gov/ipcc/model_documentation/BCC-CM1.htm', 'External Metadata :: http://www.ipcc-data.org/ar4/model-BCC-CM1-change.html', 'External Metadata :: http://bcc.cma.gov.cn/CSMD/en/'] )
14,369
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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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "Scenario", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metadata_list", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Experiments"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metadata_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_metadata_list(self): test = Scenario.objects.all()[0] # get the first scenario object # # get the associate list of metadata # metadata_list = test.scenariometadataurl_set.model.objects.filter(scenario=test.pk) self.assertEquals( test.metadata_list(), ['External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Experiments'] )
14,370
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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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "ClimateModel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metadata_list", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "filter_field", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "model"}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www-pcmdi.llnl.gov/ipcc/model_documentation/BCC-CM1.htm"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www.ipcc-data.org/ar4/model-BCC-CM1-change.html"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://bcc.cma.gov.cn/CSMD/en/"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metadata_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_metadata_list(self): test = ClimateModel.objects.all()[0] # get the first climate model object self.assertEquals( test.metadata_list(filter_field='model'), ['External Metadata :: http://www-pcmdi.llnl.gov/ipcc/model_documentation/BCC-CM1.htm', 'External Metadata :: http://www.ipcc-data.org/ar4/model-BCC-CM1-change.html', 'External Metadata :: http://bcc.cma.gov.cn/CSMD/en/'] )
14,371
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "test_usgs-cida-maurer.json"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "fixtures", "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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "Variable", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metadata_list", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Highest_priority_output"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metadata_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "VariableTest", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class VariableTest(TestCase): fixtures = ['test_usgs-cida-maurer.json'] def test_metadata_list(self): test = Variable.objects.all()[0] # get the first climate model object self.assertEquals( test.metadata_list(), ['External Metadata :: http://www-pcmdi.llnl.gov/ipcc/standard_output.html#Highest_priority_output'] )
14,372
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11
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class NcwriteTest(TestCase): def test_write(self): ncvariable = NcVariable("Prcp","mm",constant=5) bounds = Polygon(((0,0),(10,0),(10,15),(0,15))) res = 5 ncspatial = NcSpatial(bounds,res) rng = [datetime.datetime(2007,10,1),datetime.datetime(2007,10,3)] interval = datetime.timedelta(days=1) nctime = NcTime(rng,interval) ncw = NcWrite(ncvariable,ncspatial,nctime) path = get_temp_path(suffix='.nc') rootgrp = ncw.get_rootgrp(path) self.assertEquals( rootgrp.variables["Prcp"][:].shape, (3, 4, 3) ) ncw = NcWrite(ncvariable,ncspatial,nctime,nlevels=4) path = get_temp_path(suffix='.nc') rootgrp = ncw.get_rootgrp(path) self.assertEquals( rootgrp.variables["Prcp"][:].shape, (3, 4, 4, 3) ) ## check spatial dimensions self.assertEqual(ncw.ncspatial.dim_col.shape[0],3) self.assertEqual(ncw.ncspatial.dim_row.shape[0],4) ## write to a file ncw.write()
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10
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def test_write(self): ncvariable = NcVariable("Prcp","mm",constant=5) bounds = Polygon(((0,0),(10,0),(10,15),(0,15))) res = 5 ncspatial = NcSpatial(bounds,res) rng = [datetime.datetime(2007,10,1),datetime.datetime(2007,10,3)] interval = datetime.timedelta(days=1) nctime = NcTime(rng,interval) ncw = NcWrite(ncvariable,ncspatial,nctime) path = get_temp_path(suffix='.nc') rootgrp = ncw.get_rootgrp(path) self.assertEquals( rootgrp.variables["Prcp"][:].shape, (3, 4, 3) ) ncw = NcWrite(ncvariable,ncspatial,nctime,nlevels=4) path = get_temp_path(suffix='.nc') rootgrp = ncw.get_rootgrp(path) self.assertEquals( rootgrp.variables["Prcp"][:].shape, (3, 4, 4, 3) ) ## check spatial dimensions self.assertEqual(ncw.ncspatial.dim_col.shape[0],3) self.assertEqual(ncw.ncspatial.dim_row.shape[0],4) ## write to a file ncw.write()
14,374
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11
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def as_txt(self): # Get items sorted in specified order: items = sorted(list(self.attrs.values()), key=lambda item: item[2]) # Find largest label length: max_label_len = max([len(str(item[1])) for item in items]) fmt = '%%%ds %%s' % max_label_len res = [] for item in items: if item[0] is not None: res.append(fmt % (item[1], item[0])) return '\n'.join(res)
14,375
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14
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"Load", "_fields": {}}, "attr": "attrs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "unicode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "keys", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Name", "_fields": {"id": "sep", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}}}, "keywords": []}}}}], "name": "as_csv", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def as_csv(self, header=False, sep='|'): # Get keys sorted in specified order: keys = [pair[0] for pair in \ sorted([(key, val[2]) for key, val in list(self.attrs.items())], key=lambda pair: pair[1])] res = [] if header: res.append(sep.join(keys)) res.append(sep.join([unicode(self.attrs[key][0]) for key in keys])) return '\n'.join(res)
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12
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"attr": "a", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "h3", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_path2url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "article", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "article", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url_pdf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "article", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ".pdf"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "article", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "div"}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "gs_rt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tag_has_class", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "h3", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "a", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "h3", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tag2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tag2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_parse_links", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "tag2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "span"}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tag2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "gs_fl"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tag_has_class", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "tag2", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "font"}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "div", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_parse_article", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_article(self, div): self.article = ScholarArticle() for tag in div: if not hasattr(tag, 'name'): continue if tag.name == 'div' and self._tag_has_class(tag, 'gs_rt') and \ tag.h3 and tag.h3.a: self.article['title'] = ''.join(tag.h3.a.findAll(text=True)) self.article['url'] = self._path2url(tag.h3.a['href']) if self.article['url'].endswith('.pdf'): self.article['url_pdf'] = self.article['url'] if tag.name == 'font': for tag2 in tag: if not hasattr(tag2, 'name'): continue if tag2.name == 'span' and \ self._tag_has_class(tag2, 'gs_fl'): self._parse_links(tag2)
14,377
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def _parse_globals(self): tag = self.soup.find(name='div', attrs={'id': 'gs_ab_md'}) if tag is not None: raw_text = tag.findAll(text=True) # raw text is a list because the body contains <b> etc if raw_text is not None and len(raw_text) > 0: try: num_results = raw_text[0].split()[1] # num_results may now contain commas to separate # thousands, strip: num_results = num_results.replace(',', '') num_results = int(num_results) self.handle_num_results(num_results) except (IndexError, ValueError): pass
14,378
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11
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def _parse_article(self, div): self.article = ScholarArticle() for tag in div: if not hasattr(tag, 'name'): continue if tag.name == 'h3' and self._tag_has_class(tag, 'gs_rt') and tag.a: self.article['title'] = ''.join(tag.a.findAll(text=True)) self.article['url'] = self._path2url(tag.a['href']) if self.article['url'].endswith('.pdf'): self.article['url_pdf'] = self.article['url'] if tag.name == 'div' and self._tag_has_class(tag, 'gs_a'): year = self.year_re.findall(tag.text) self.article['year'] = year[0] if len(year) > 0 else None if tag.name == 'div' and self._tag_has_class(tag, 'gs_fl'): self._parse_links(tag)
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"type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Import"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getText", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "span", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_parse_links", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_links(self, span): for tag in span: if not hasattr(tag, 'name'): continue if tag.name != 'a' or tag.get('href') is None: continue if tag.get('href').startswith('/scholar?cites'): if hasattr(tag, 'string') and tag.string.startswith('Cited by'): self.article['num_citations'] = \ self._as_int(tag.string.split()[-1]) # Weird Google Scholar behavior here: if the original # search query came with a number-of-results limit, # then this limit gets propagated to the URLs embedded # in the results page as well. Same applies to # versions URL in next if-block. self.article['url_citations'] = \ self._strip_url_arg('num', self._path2url(tag.get('href'))) # We can also extract the cluster ID from the versions # URL. Note that we know that the string contains "?", # from the above if-statement. args = self.article['url_citations'].split('?', 1)[1] for arg in args.split('&'): if arg.startswith('cites='): self.article['cluster_id'] = arg[6:] if tag.get('href').startswith('/scholar?cluster'): if hasattr(tag, 'string') and tag.string.startswith('All '): self.article['num_versions'] = \ self._as_int(tag.string.split()[1]) self.article['url_versions'] = \ self._strip_url_arg('num', self._path2url(tag.get('href'))) if tag.getText().startswith('Import'): self.article['url_citation'] = self._path2url(tag.get('href'))
14,380
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8
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def get_url(self): if self.cluster is None: raise QueryArgumentError('cluster query needs cluster ID') urlargs = {'cluster': self.cluster } for key, val in urlargs.items(): urlargs[key] = quote(encode(val)) # The following URL arguments must not be quoted, or the # server will not recognize them: urlargs['num'] = ('&num=%d' % self.num_results if self.num_results is not None else '') return self.SCHOLAR_CLUSTER_URL % urlargs
14,381
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"_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "raw_text", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "raw_text", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "excerpt"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "article", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "raw_text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "div"}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "class"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "gs_rs"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "div"}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "gs_ri"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tag_has_class", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "div", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "tag", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_parse_article", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_article(self, div): self.article = ScholarArticle() for tag in div: if not hasattr(tag, 'name'): continue if str(tag).lower().find('.pdf'): if tag.find('div', {'class': 'gs_ttss'}): self._parse_links(tag.find('div', {'class': 'gs_ttss'})) if tag.name == 'div' and self._tag_has_class(tag, 'gs_ri'): # There are (at least) two formats here. In the first # one, we have a link, e.g.: # # <h3 class="gs_rt"> # <a href="http://dl.acm.org/citation.cfm?id=972384" class="yC0"> # <b>Honeycomb</b>: creating intrusion detection signatures using # honeypots # </a> # </h3> # # In the other, there's no actual link -- it's what # Scholar renders as "CITATION" in the HTML: # # <h3 class="gs_rt"> # <span class="gs_ctu"> # <span class="gs_ct1">[CITATION]</span> # <span class="gs_ct2">[C]</span> # </span> # <b>Honeycomb</b> automated ids signature creation using honeypots # </h3> # # We now distinguish the two. try: atag = tag.h3.a self.article['title'] = ''.join(atag.findAll(text=True)) self.article['url'] = self._path2url(atag['href']) if self.article['url'].endswith('.pdf'): self.article['url_pdf'] = self.article['url'] except: # Remove a few spans that have unneeded content (e.g. [CITATION]) for span in tag.h3.findAll(name='span'): span.clear() self.article['title'] = ''.join(tag.h3.findAll(text=True)) if tag.find('div', {'class': 'gs_a'}): year = self.year_re.findall(tag.find('div', {'class': 'gs_a'}).text) self.article['year'] = year[0] if len(year) > 0 else None if tag.find('div', {'class': 'gs_fl'}): self._parse_links(tag.find('div', {'class': 'gs_fl'})) if tag.find('div', {'class': 'gs_rs'}): # These are the content excerpts rendered into the results. raw_text = tag.find('div', {'class': 'gs_rs'}).findAll(text=True) if len(raw_text) > 0: raw_text = ''.join(raw_text) raw_text = raw_text.replace('\n', '') self.article['excerpt'] = raw_text
14,382
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{"kind": null, "value": ""}}]}}, {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pub", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}, {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeframe", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}, {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Subscript", "_fields": {"ctx": 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"ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "urlargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "&num=%d"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_results", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_results", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "num"}}, "value": {"_type": "Name", "_fields": {"id": "urlargs", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SCHOLAR_QUERY_URL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "urlargs", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "get_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_url(self): if self.words is None and self.words_some is None \ and self.words_none is None and self.phrase is None \ and self.author is None and self.pub is None \ and self.timeframe[0] is None and self.timeframe[1] is None: raise QueryArgumentError('search query needs more parameters') # If we have some-words or none-words lists, we need to # process them so GS understands them. For simple # space-separeted word lists, there's nothing to do. For lists # of phrases we have to ensure quotations around the phrases, # separating them by whitespace. words_some = None words_none = None if self.words_some: words_some = self._parenthesize_phrases(self.words_some) if self.words_none: words_none = self._parenthesize_phrases(self.words_none) urlargs = {'words': self.words or '', 'words_some': words_some or '', 'words_none': words_none or '', 'phrase': self.phrase or '', 'scope': 'title' if self.scope_title else 'any', 'authors': self.author or '', 'pub': self.pub or '', 'ylo': self.timeframe[0] or '', 'yhi': self.timeframe[1] or '', 'patents': '0' if self.include_patents else '1', 'citations': '0' if self.include_citations else '1'} for key, val in urlargs.items(): urlargs[key] = quote(encode(val)) # The following URL arguments must not be quoted, or the # server will not recognize them: urlargs['num'] = ('&num=%d' % self.num_results if self.num_results is not None else '') return self.SCHOLAR_QUERY_URL % urlargs
14,383
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10
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class Parser(ScholarArticleParser120726): def __init__(self, querier): ScholarArticleParser120726.__init__(self) self.querier = querier def handle_num_results(self, num_results): if self.querier is not None and self.querier.query is not None: self.querier.query['num_results'] = num_results def handle_article(self, art): self.querier.add_article(art)
14,384
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"_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "test": {"_type": "Name", "_fields": {"id": "with_globals", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "articles", "value": {"_type": "Name", "_fields": {"id": "querier", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "articles", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_txt", "value": {"_type": "Name", "_fields": {"id": "art", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "encode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "articles", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "art", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "txt", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def txt(querier, with_globals): if with_globals: # If we have any articles, check their attribute labels to get # the maximum length -- makes for nicer alignment. max_label_len = 0 if len(querier.articles) > 0: items = sorted(list(querier.articles[0].attrs.values()), key=lambda item: item[2]) max_label_len = max([len(str(item[1])) for item in items]) # Get items sorted in specified order: items = sorted(list(querier.query.attrs.values()), key=lambda item: item[2]) # Find largest label length: max_label_len = max([len(str(item[1])) for item in items] + [max_label_len]) fmt = '[G] %%%ds %%s' % max(0, max_label_len-4) for item in items: if item[0] is not None: print(fmt % (item[1], item[0])) if len(items) > 0: print articles = querier.articles for art in articles: print(encode(art.as_txt()) + '\n')
14,385
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10
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def __init__(self): self.articles = [] self.query = None self.cjar = MozillaCookieJar() # If we have a cookie file, load it: if ScholarConf.COOKIE_JAR_FILE and \ os.path.exists(ScholarConf.COOKIE_JAR_FILE): try: self.cjar.load(ScholarConf.COOKIE_JAR_FILE, ignore_discard=True) ScholarUtils.log('info', 'loaded cookies file') except Exception as msg: ScholarUtils.log('warn', 'could not load cookies file: %s' % msg) self.cjar = MozillaCookieJar() # Just to be safe self.opener = build_opener(HTTPCookieProcessor(self.cjar)) self.settings = None
14,386
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def run_test (self): # Check that there's no UTXO on none of the nodes assert_equal(len(self.nodes[0].listunspent()), 0) assert_equal(len(self.nodes[1].listunspent()), 0) assert_equal(len(self.nodes[2].listunspent()), 0) print("Mining blocks...") self.nodes[0].generate(1) walletinfo = self.nodes[0].getwalletinfo() assert_equal(walletinfo['immature_balance'], 50) assert_equal(walletinfo['balance'], 0) self.sync_all() self.nodes[1].generate(101) self.sync_all() assert_equal(self.nodes[0].getbalance(), 50) assert_equal(self.nodes[1].getbalance(), 50) assert_equal(self.nodes[2].getbalance(), 0) # Check that only first and second nodes have UTXOs assert_equal(len(self.nodes[0].listunspent()), 1) assert_equal(len(self.nodes[1].listunspent()), 1) assert_equal(len(self.nodes[2].listunspent()), 0) # Send 21 BTC from 0 to 2 using sendtoaddress call. self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), 11) self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), 10) walletinfo = self.nodes[0].getwalletinfo() assert_equal(walletinfo['immature_balance'], 0) # Have node0 mine a block, thus it will collect its own fee. self.nodes[0].generate(1) self.sync_all() # Exercise locking of unspent outputs unspent_0 = self.nodes[2].listunspent()[0] unspent_0 = {"txid": unspent_0["txid"], "vout": unspent_0["vout"]} self.nodes[2].lockunspent(False, [unspent_0]) assert_raises_message(JSONRPCException, "Insufficient funds", self.nodes[2].sendtoaddress, self.nodes[2].getnewaddress(), 20) assert_equal([unspent_0], self.nodes[2].listlockunspent()) self.nodes[2].lockunspent(True, [unspent_0]) assert_equal(len(self.nodes[2].listlockunspent()), 0) # Have node1 generate 100 blocks (so node0 can recover the fee) self.nodes[1].generate(100) self.sync_all() # node0 should end up with 100 btc in block rewards plus fees, but # minus the 21 plus fees sent to node2 assert_equal(self.nodes[0].getbalance(), 100-21) assert_equal(self.nodes[2].getbalance(), 21) # Node0 should have two unspent outputs. # Create a couple of transactions to send them to node2, submit them through # node1, and make sure both node0 and node2 pick them up properly: node0utxos = self.nodes[0].listunspent(1) assert_equal(len(node0utxos), 2) # create both transactions txns_to_send = [] for utxo in node0utxos: inputs = [] outputs = {} inputs.append({ "txid" : utxo["txid"], "vout" : utxo["vout"]}) outputs[self.nodes[2].getnewaddress("from1")] = utxo["amount"] - 3 raw_tx = self.nodes[0].createrawtransaction(inputs, outputs) txns_to_send.append(self.nodes[0].signrawtransaction(raw_tx)) # Have node 1 (miner) send the transactions self.nodes[1].sendrawtransaction(txns_to_send[0]["hex"], True) self.nodes[1].sendrawtransaction(txns_to_send[1]["hex"], True) # Have node1 mine a block to confirm transactions: self.nodes[1].generate(1) self.sync_all() assert_equal(self.nodes[0].getbalance(), 0) assert_equal(self.nodes[2].getbalance(), 94) assert_equal(self.nodes[2].getbalance("from1"), 94-21) # Send 10 BTC normal address = self.nodes[0].getnewaddress("test") fee_per_byte = Decimal('0.001') / 1000 self.nodes[2].settxfee(fee_per_byte * 1000) txid = self.nodes[2].sendtoaddress(address, 10, "", "", False) self.nodes[2].generate(1) self.sync_all() node_2_bal = self.check_fee_amount(self.nodes[2].getbalance(), Decimal('84'), fee_per_byte, count_bytes(self.nodes[2].getrawtransaction(txid))) assert_equal(self.nodes[0].getbalance(), Decimal('10')) # Send 10 BTC with subtract fee from amount txid = self.nodes[2].sendtoaddress(address, 10, "", "", True) self.nodes[2].generate(1) self.sync_all() node_2_bal -= Decimal('10') assert_equal(self.nodes[2].getbalance(), node_2_bal) node_0_bal = self.check_fee_amount(self.nodes[0].getbalance(), Decimal('20'), fee_per_byte, count_bytes(self.nodes[2].getrawtransaction(txid))) # Sendmany 10 BTC txid = self.nodes[2].sendmany('from1', {address: 10}, 0, "", []) self.nodes[2].generate(1) self.sync_all() node_0_bal += Decimal('10') node_2_bal = self.check_fee_amount(self.nodes[2].getbalance(), node_2_bal - Decimal('10'), fee_per_byte, count_bytes(self.nodes[2].getrawtransaction(txid))) assert_equal(self.nodes[0].getbalance(), node_0_bal) # Sendmany 10 BTC with subtract fee from amount txid = self.nodes[2].sendmany('from1', {address: 10}, 0, "", [address]) self.nodes[2].generate(1) self.sync_all() node_2_bal -= Decimal('10') assert_equal(self.nodes[2].getbalance(), node_2_bal) node_0_bal = self.check_fee_amount(self.nodes[0].getbalance(), node_0_bal + Decimal('10'), fee_per_byte, count_bytes(self.nodes[2].getrawtransaction(txid))) # Test ResendWalletTransactions: # Create a couple of transactions, then start up a fourth # node (nodes[3]) and ask nodes[0] to rebroadcast. # EXPECT: nodes[3] should have those transactions in its mempool. txid1 = self.nodes[0].sendtoaddress(self.nodes[1].getnewaddress(), 1) txid2 = self.nodes[1].sendtoaddress(self.nodes[0].getnewaddress(), 1) sync_mempools(self.nodes) self.nodes.append(start_node(3, self.options.tmpdir, self.extra_args[3])) connect_nodes_bi(self.nodes, 0, 3) sync_blocks(self.nodes) relayed = self.nodes[0].resendwallettransactions() assert_equal(set(relayed), {txid1, txid2}) sync_mempools(self.nodes) assert(txid1 in self.nodes[3].getrawmempool()) # Exercise balance rpcs assert_equal(self.nodes[0].getwalletinfo()["unconfirmed_balance"], 1) assert_equal(self.nodes[0].getunconfirmedbalance(), 1) #check if we can list zero value tx as available coins #1. create rawtx #2. hex-changed one output to 0.0 #3. sign and send #4. check if recipient (node0) can list the zero value tx usp = self.nodes[1].listunspent() inputs = [{"txid":usp[0]['txid'], "vout":usp[0]['vout']}] outputs = {self.nodes[1].getnewaddress(): 49.998, self.nodes[0].getnewaddress(): 11.11} rawTx = self.nodes[1].createrawtransaction(inputs, outputs).replace("c0833842", "00000000") #replace 11.11 with 0.0 (int32) decRawTx = self.nodes[1].decoderawtransaction(rawTx) signedRawTx = self.nodes[1].signrawtransaction(rawTx) decRawTx = self.nodes[1].decoderawtransaction(signedRawTx['hex']) zeroValueTxid= decRawTx['txid'] sendResp = self.nodes[1].sendrawtransaction(signedRawTx['hex']) self.sync_all() self.nodes[1].generate(1) #mine a block self.sync_all() unspentTxs = self.nodes[0].listunspent() #zero value tx must be in listunspents output found = False for uTx in unspentTxs: if uTx['txid'] == zeroValueTxid: found = True assert_equal(uTx['amount'], Decimal('0')) assert(found) #do some -walletbroadcast tests stop_nodes(self.nodes) self.nodes = start_nodes(3, self.options.tmpdir, [["-walletbroadcast=0"],["-walletbroadcast=0"],["-walletbroadcast=0"]]) connect_nodes_bi(self.nodes,0,1) connect_nodes_bi(self.nodes,1,2) connect_nodes_bi(self.nodes,0,2) self.sync_all() txIdNotBroadcasted = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), 2) txObjNotBroadcasted = self.nodes[0].gettransaction(txIdNotBroadcasted) self.nodes[1].generate(1) #mine a block, tx should not be in there self.sync_all() assert_equal(self.nodes[2].getbalance(), node_2_bal) #should not be changed because tx was not broadcasted #now broadcast from another node, mine a block, sync, and check the balance self.nodes[1].sendrawtransaction(txObjNotBroadcasted['hex']) self.nodes[1].generate(1) self.sync_all() node_2_bal += 2 txObjNotBroadcasted = self.nodes[0].gettransaction(txIdNotBroadcasted) assert_equal(self.nodes[2].getbalance(), node_2_bal) #create another tx txIdNotBroadcasted = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), 2) #restart the nodes with -walletbroadcast=1 stop_nodes(self.nodes) self.nodes = start_nodes(3, self.options.tmpdir) connect_nodes_bi(self.nodes,0,1) connect_nodes_bi(self.nodes,1,2) connect_nodes_bi(self.nodes,0,2) sync_blocks(self.nodes) self.nodes[0].generate(1) sync_blocks(self.nodes) node_2_bal += 2 #tx should be added to balance because after restarting the nodes tx should be broadcastet assert_equal(self.nodes[2].getbalance(), node_2_bal) #send a tx with value in a string (PR#6380 +) txId = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), "2") txObj = self.nodes[0].gettransaction(txId) assert_equal(txObj['amount'], Decimal('-2')) txId = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), "0.001") txObj = self.nodes[0].gettransaction(txId) assert_equal(txObj['amount'], Decimal('-0.001')) #check if JSON parser can handle scientific notation in strings txId = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), "1e-3") txObj = self.nodes[0].gettransaction(txId) assert_equal(txObj['amount'], Decimal('-0.001')) try: txId = self.nodes[0].sendtoaddress(self.nodes[2].getnewaddress(), "1f-4") except JSONRPCException as e: assert("Invalid amount" in e.error['message']) else: raise AssertionError("Must not parse invalid amounts") try: self.nodes[0].generate("2") raise AssertionError("Must not accept strings as numeric") except JSONRPCException as e: assert("not an integer" in e.error['message']) # Import address and private key to check correct behavior of spendable unspents # 1. Send some coins to generate new UTXO address_to_import = self.nodes[2].getnewaddress() txid = self.nodes[0].sendtoaddress(address_to_import, 1) self.nodes[0].generate(1) self.sync_all() # 2. Import address from node2 to node1 self.nodes[1].importaddress(address_to_import) # 3. Validate that the imported address is watch-only on node1 assert(self.nodes[1].validateaddress(address_to_import)["iswatchonly"]) # 4. Check that the unspents after import are not spendable assert_array_result(self.nodes[1].listunspent(), {"address": address_to_import}, {"spendable": False}) # 5. Import private key of the previously imported address on node1 priv_key = self.nodes[2].dumpprivkey(address_to_import) self.nodes[1].importprivkey(priv_key) # 6. Check that the unspents are now spendable on node1 assert_array_result(self.nodes[1].listunspent(), {"address": address_to_import}, {"spendable": True}) # Mine a block from node0 to an address from node1 cbAddr = self.nodes[1].getnewaddress() blkHash = self.nodes[0].generatetoaddress(1, cbAddr)[0] cbTxId = self.nodes[0].getblock(blkHash)['tx'][0] self.sync_all() # Check that the txid and balance is found by node1 self.nodes[1].gettransaction(cbTxId) # check if wallet or blockchain maintenance changes the balance self.sync_all() blocks = self.nodes[0].generate(2) self.sync_all() balance_nodes = [self.nodes[i].getbalance() for i in range(3)] block_count = self.nodes[0].getblockcount() # Check modes: # - True: unicode escaped as \u.... # - False: unicode directly as UTF-8 for mode in [True, False]: self.nodes[0].ensure_ascii = mode # unicode check: Basic Multilingual Plane, Supplementary Plane respectively for s in [u'рыба', u'𝅘𝅥𝅯']: addr = self.nodes[0].getaccountaddress(s) label = self.nodes[0].getaccount(addr) assert_equal(label, s) assert(s in self.nodes[0].listaccounts().keys()) self.nodes[0].ensure_ascii = True # restore to default # maintenance tests maintenance = [ '-rescan', '-reindex', '-zapwallettxes=1', '-zapwallettxes=2', # disabled until issue is fixed: https://github.com/bitcoin/bitcoin/issues/7463 # '-salvagewallet', ] chainlimit = 6 for m in maintenance: print("check " + m) stop_nodes(self.nodes) # set lower ancestor limit for later self.nodes = start_nodes(3, self.options.tmpdir, [[m, "-limitancestorcount="+str(chainlimit)]] * 3) while m == '-reindex' and [block_count] * 3 != [self.nodes[i].getblockcount() for i in range(3)]: # reindex will leave rpc warm up "early"; Wait for it to finish time.sleep(0.1) assert_equal(balance_nodes, [self.nodes[i].getbalance() for i in range(3)]) # Exercise listsinceblock with the last two blocks coinbase_tx_1 = self.nodes[0].listsinceblock(blocks[0]) assert_equal(coinbase_tx_1["lastblock"], blocks[1]) assert_equal(len(coinbase_tx_1["transactions"]), 1) assert_equal(coinbase_tx_1["transactions"][0]["blockhash"], blocks[1]) assert_equal(len(self.nodes[0].listsinceblock(blocks[1])["transactions"]), 0) # ==Check that wallet prefers to use coins that don't exceed mempool limits ===== # Get all non-zero utxos together chain_addrs = [self.nodes[0].getnewaddress(), self.nodes[0].getnewaddress()] singletxid = self.nodes[0].sendtoaddress(chain_addrs[0], self.nodes[0].getbalance(), "", "", True) self.nodes[0].generate(1) node0_balance = self.nodes[0].getbalance() # Split into two chains rawtx = self.nodes[0].createrawtransaction([{"txid":singletxid, "vout":0}], {chain_addrs[0]:node0_balance/2-Decimal('0.01'), chain_addrs[1]:node0_balance/2-Decimal('0.01')}) signedtx = self.nodes[0].signrawtransaction(rawtx) singletxid = self.nodes[0].sendrawtransaction(signedtx["hex"]) txids = [singletxid, singletxid] self.nodes[0].generate(1) # Make a long chain of unconfirmed payments without hitting mempool limit txid_list = [] for i in range(chainlimit*2): txid_list.append(self.nodes[0].sendtoaddress(chain_addrs[0], Decimal('0.001'))) assert_equal(self.nodes[0].getmempoolinfo()['size'], chainlimit*2) assert_equal(len(txid_list), chainlimit*2)
14,387
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11
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def main(): usage = """scholar.py [options] <query string> A command-line interface to Google Scholar. Examples: # Retrieve one article written by Einstein on quantum theory: scholar.py -c 1 --author "albert einstein" --phrase "quantum theory" # Retrieve a BibTeX entry for that quantum theory paper: scholar.py -c 1 -C 17749203648027613321 --citation bt # Retrieve five articles written by Einstein after 1970 where the title # does not contain the words "quantum" and "theory": scholar.py -c 5 -a "albert einstein" -t --none "quantum theory" --after 1970""" fmt = optparse.IndentedHelpFormatter(max_help_position=50, width=100) parser = optparse.OptionParser(usage=usage, formatter=fmt) group = optparse.OptionGroup(parser, 'Query arguments', 'These options define search query arguments and parameters.') group.add_option('-a', '--author', metavar='AUTHORS', default=None, help='Author name(s)') group.add_option('-A', '--all', metavar='WORDS', default=None, dest='allw', help='Results must contain all of these words') group.add_option('-s', '--some', metavar='WORDS', default=None, help='Results must contain at least one of these words. Pass arguments in form -s "foo bar baz" for simple words, and -s "a phrase, another phrase" for phrases') group.add_option('-n', '--none', metavar='WORDS', default=None, help='Results must contain none of these words. See -s|--some re. formatting') group.add_option('-p', '--phrase', metavar='PHRASE', default=None, help='Results must contain exact phrase') group.add_option('-t', '--title-only', action='store_true', default=False, help='Search title only') group.add_option('-P', '--pub', metavar='PUBLICATIONS', default=None, help='Results must have appeared in this publication') group.add_option('--after', metavar='YEAR', default=None, help='Results must have appeared in or after given year') group.add_option('--before', metavar='YEAR', default=None, help='Results must have appeared in or before given year') group.add_option('--no-patents', action='store_true', default=False, help='Do not include patents in results') group.add_option('--no-citations', action='store_true', default=False, help='Do not include citations in results') group.add_option('-C', '--cluster-id', metavar='CLUSTER_ID', default=None, help='Do not search, just use articles in given cluster ID') group.add_option('-c', '--count', type='int', default=None, help='Maximum number of results') parser.add_option_group(group) group = optparse.OptionGroup(parser, 'Output format', 'These options control the appearance of the results.') group.add_option('--txt', action='store_true', help='Print article data in text format (default)') group.add_option('--txt-globals', action='store_true', help='Like --txt, but first print global results too') group.add_option('--csv', action='store_true', help='Print article data in CSV form (separator is "|")') group.add_option('--csv-header', action='store_true', help='Like --csv, but print header with column names') group.add_option('--citation', metavar='FORMAT', default=None, help='Print article details in standard citation format. Argument Must be one of "bt" (BibTeX), "en" (EndNote), "rm" (RefMan), or "rw" (RefWorks).') parser.add_option_group(group) group = optparse.OptionGroup(parser, 'Miscellaneous') group.add_option('--cookie-file', metavar='FILE', default=None, help='File to use for cookie storage. If given, will read any existing cookies if found at startup, and save resulting cookies in the end.') group.add_option('-d', '--debug', action='count', default=0, help='Enable verbose logging to stderr. Repeated options increase detail of debug output.') group.add_option('-v', '--version', action='store_true', default=False, help='Show version information') parser.add_option_group(group) options, _ = parser.parse_args() # Show help if we have neither keyword search nor author name if len(sys.argv) == 1: parser.print_help() return 1 if options.debug > 0: options.debug = min(options.debug, ScholarUtils.LOG_LEVELS['debug']) ScholarConf.LOG_LEVEL = options.debug ScholarUtils.log('info', 'using log level %d' % ScholarConf.LOG_LEVEL) if options.version: print('This is scholar.py %s.' % ScholarConf.VERSION) return 0 if options.cookie_file: ScholarConf.COOKIE_JAR_FILE = options.cookie_file # Sanity-check the options: if they include a cluster ID query, it # makes no sense to have search arguments: if options.cluster_id is not None: if options.author or options.allw or options.some or options.none \ or options.phrase or options.title_only or options.pub \ or options.after or options.before: print('Cluster ID queries do not allow additional search arguments.') return 1 querier = ScholarQuerier() settings = ScholarSettings() if options.citation == 'bt': settings.set_citation_format(ScholarSettings.CITFORM_BIBTEX) elif options.citation == 'en': settings.set_citation_format(ScholarSettings.CITFORM_ENDNOTE) elif options.citation == 'rm': settings.set_citation_format(ScholarSettings.CITFORM_REFMAN) elif options.citation == 'rw': settings.set_citation_format(ScholarSettings.CITFORM_REFWORKS) elif options.citation is not None: print('Invalid citation link format, must be one of "bt", "en", "rm", or "rw".') return 1 querier.apply_settings(settings) if options.cluster_id: query = ClusterScholarQuery(cluster=options.cluster_id) else: query = SearchScholarQuery() if options.author: query.set_author(options.author) if options.allw: query.set_words(options.allw) if options.some: query.set_words_some(options.some) if options.none: query.set_words_none(options.none) if options.phrase: query.set_phrase(options.phrase) if options.title_only: query.set_scope(True) if options.pub: query.set_pub(options.pub) if options.after or options.before: query.set_timeframe(options.after, options.before) if options.no_patents: query.set_include_patents(False) if options.no_citations: query.set_include_citations(False) if options.count is not None: options.count = min(options.count, ScholarConf.MAX_PAGE_RESULTS) query.set_num_page_results(options.count) try: querier.send_query(query) except Exception as err: if '503' in str(err): sys.stderr.write('error: blocked for abusing the service\n') return 1 raise err if options.csv: csv(querier) elif options.csv_header: csv(querier, header=True) elif options.citation is not None: citation_export(querier) else: txt(querier, with_globals=options.txt_globals) if options.cookie_file: querier.save_cookies() return 0
14,388
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def __init__(self,class_name=None): self.type_name = 'unknown cpp_object' self.name = 'no name' if class_name: # customize support_code for whatever type I was handed. clean_name = class_name.replace('::','_') clean_name = clean_name.replace('<','_') clean_name = clean_name.replace('>','_') clean_name = clean_name.replace(' ','_') # should be enough for 64 bit machines str_len = len(clean_name) + 20 vals = {'cpp_struct': class_name, 'cpp_clean_struct': clean_name, 'ptr_string_len': str_len} specialized_support = cpp_support_template % vals custom = base_info.base_info() custom._support_code = [specialized_support] self._build_information = self._build_information + [custom] self.type_name = class_name
14,389
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class cpp_namespace_converter(base_converter): _build_information = [common_info.swig_info()] def __init__(self,class_name=None): self.type_name = 'unknown cpp_object' self.name = 'no name' if class_name: # customize support_code for whatever type I was handed. clean_name = class_name.replace('::','_') clean_name = clean_name.replace('<','_') clean_name = clean_name.replace('>','_') clean_name = clean_name.replace(' ','_') # should be enough for 64 bit machines str_len = len(clean_name) + 20 vals = {'cpp_struct': class_name, 'cpp_clean_struct': clean_name, 'ptr_string_len': str_len} specialized_support = cpp_support_template % vals custom = base_info.base_info() custom._support_code = [specialized_support] self._build_information = self._build_information + [custom] self.type_name = class_name def type_match(self,value): try: cpp_ident = value.split('_')[2] if self.namespace in cpp_ident: return 1 except: pass return 0 def type_spec(self,name,value): # factory ptr_fields = value.split('_') class_name = '_'.join(ptr_fields[2:-1]) new_spec = self.__class__(class_name) new_spec.name = name return new_spec def declaration_code(self,inline=0): type = self.type_name clean_type = type.replace('::','_') name = self.name var_name = self.retrieve_py_variable(inline) template = '%(type)s *%(name)s = '\ 'convert_to_%(clean_type)s(%(var_name)s,"%(name)s");\n' code = template % locals() return code def __repr__(self): msg = "(%s:: name: %s)" % (self.type_name,self.name) return msg def __cmp__(self,other): #only works for equal return cmp(self.name,other.name) or \ cmp(self.__class__, other.__class__) or \ cmp(self.type_name,other.type_name)
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class RoCBertModelTester: def __init__( self, parent, batch_size=13, seq_length=7, is_training=True, use_input_mask=True, use_token_type_ids=True, use_labels=True, vocab_size=99, pronunciation_vocab_size=99, shape_vocab_size=99, pronunciation_embed_dim=32, shape_embed_dim=32, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37, hidden_act="gelu", hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, max_position_embeddings=512, type_vocab_size=16, type_sequence_label_size=2, initializer_range=0.02, num_labels=3, num_choices=4, scope=None, ): self.parent = parent self.batch_size = batch_size self.seq_length = seq_length self.is_training = is_training self.use_input_mask = use_input_mask self.use_token_type_ids = use_token_type_ids self.use_labels = use_labels self.vocab_size = vocab_size self.pronunciation_vocab_size = pronunciation_vocab_size self.shape_vocab_size = shape_vocab_size self.pronunciation_embed_dim = pronunciation_embed_dim self.shape_embed_dim = shape_embed_dim self.hidden_size = hidden_size self.num_hidden_layers = num_hidden_layers self.num_attention_heads = num_attention_heads self.intermediate_size = intermediate_size self.hidden_act = hidden_act self.hidden_dropout_prob = hidden_dropout_prob self.attention_probs_dropout_prob = attention_probs_dropout_prob self.max_position_embeddings = max_position_embeddings self.type_vocab_size = type_vocab_size self.type_sequence_label_size = type_sequence_label_size self.initializer_range = initializer_range self.num_labels = num_labels self.num_choices = num_choices self.scope = scope def prepare_config_and_inputs(self): input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size) input_shape_ids = ids_tensor([self.batch_size, self.seq_length], self.shape_vocab_size) input_pronunciation_ids = ids_tensor([self.batch_size, self.seq_length], self.pronunciation_vocab_size) input_mask = None if self.use_input_mask: input_mask = random_attention_mask([self.batch_size, self.seq_length]) token_type_ids = None if self.use_token_type_ids: token_type_ids = ids_tensor([self.batch_size, self.seq_length], self.type_vocab_size) sequence_labels = None token_labels = None choice_labels = None if self.use_labels: sequence_labels = ids_tensor([self.batch_size], self.type_sequence_label_size) token_labels = ids_tensor([self.batch_size, self.seq_length], self.num_labels) choice_labels = ids_tensor([self.batch_size], self.num_choices) config = self.get_config() return ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ) def get_config(self): return RoCBertConfig( vocab_size=self.vocab_size, shape_vocab_size=self.shape_vocab_size, pronunciation_vocab_size=self.pronunciation_vocab_size, shape_embed_dim=self.shape_embed_dim, pronunciation_embed_dim=self.pronunciation_embed_dim, hidden_size=self.hidden_size, num_hidden_layers=self.num_hidden_layers, num_attention_heads=self.num_attention_heads, intermediate_size=self.intermediate_size, hidden_act=self.hidden_act, hidden_dropout_prob=self.hidden_dropout_prob, attention_probs_dropout_prob=self.attention_probs_dropout_prob, max_position_embeddings=self.max_position_embeddings, type_vocab_size=self.type_vocab_size, is_decoder=False, initializer_range=self.initializer_range, ) def prepare_config_and_inputs_for_decoder(self): ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ) = self.prepare_config_and_inputs() config.is_decoder = True encoder_hidden_states = floats_tensor([self.batch_size, self.seq_length, self.hidden_size]) encoder_attention_mask = ids_tensor([self.batch_size, self.seq_length], vocab_size=2) return ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ) def create_and_check_model( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertModel(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, token_type_ids=token_type_ids, ) result = model(input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids) self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size)) def create_and_check_model_as_decoder( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): config.add_cross_attention = True model = RoCBertModel(config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, encoder_hidden_states=encoder_hidden_states, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, ) self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size)) def create_and_check_for_causal_lm( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): model = RoCBertForCausalLM(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size)) def create_and_check_for_masked_lm( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForMaskedLM(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size)) def create_and_check_decoder_model_past_large_inputs( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): config.is_decoder = True config.add_cross_attention = True model = RoCBertForCausalLM(config=config) model.to(torch_device) model.eval() # first forward pass outputs = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, use_cache=True, ) past_key_values = outputs.past_key_values # create hypothetical multiple next token and extent to next_input_ids next_tokens = ids_tensor((self.batch_size, 3), config.vocab_size) next_shape_tokens = ids_tensor((self.batch_size, 3), config.shape_vocab_size) next_pronunciation_tokens = ids_tensor((self.batch_size, 3), config.pronunciation_vocab_size) next_mask = ids_tensor((self.batch_size, 3), vocab_size=2) # append to next input_ids and next_input_ids = torch.cat([input_ids, next_tokens], dim=-1) next_input_shape_ids = torch.cat([input_shape_ids, next_shape_tokens], dim=-1) next_input_pronunciation_ids = torch.cat([input_pronunciation_ids, next_pronunciation_tokens], dim=-1) next_attention_mask = torch.cat([input_mask, next_mask], dim=-1) output_from_no_past = model( next_input_ids, input_shape_ids=next_input_shape_ids, input_pronunciation_ids=next_input_pronunciation_ids, attention_mask=next_attention_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, output_hidden_states=True, )["hidden_states"][0] output_from_past = model( next_tokens, input_shape_ids=next_shape_tokens, input_pronunciation_ids=next_pronunciation_tokens, attention_mask=next_attention_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, past_key_values=past_key_values, output_hidden_states=True, )["hidden_states"][0] # select random slice random_slice_idx = ids_tensor((1,), output_from_past.shape[-1]).item() output_from_no_past_slice = output_from_no_past[:, -3:, random_slice_idx].detach() output_from_past_slice = output_from_past[:, :, random_slice_idx].detach() self.parent.assertTrue(output_from_past_slice.shape[1] == next_tokens.shape[1]) # test that outputs are equal for slice self.parent.assertTrue(torch.allclose(output_from_past_slice, output_from_no_past_slice, atol=1e-3)) def create_and_check_for_question_answering( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForQuestionAnswering(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, start_positions=sequence_labels, end_positions=sequence_labels, ) self.parent.assertEqual(result.start_logits.shape, (self.batch_size, self.seq_length)) self.parent.assertEqual(result.end_logits.shape, (self.batch_size, self.seq_length)) def create_and_check_for_sequence_classification( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_labels = self.num_labels model = RoCBertForSequenceClassification(config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=sequence_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_labels)) def create_and_check_for_token_classification( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_labels = self.num_labels model = RoCBertForTokenClassification(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.num_labels)) def create_and_check_for_multiple_choice( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_choices = self.num_choices model = RoCBertForMultipleChoice(config=config) model.to(torch_device) model.eval() multiple_choice_inputs_ids = input_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_inputs_shape_ids = input_shape_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_inputs_pronunciation_ids = ( input_pronunciation_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() ) multiple_choice_token_type_ids = token_type_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_input_mask = input_mask.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() result = model( multiple_choice_inputs_ids, input_shape_ids=multiple_choice_inputs_shape_ids, input_pronunciation_ids=multiple_choice_inputs_pronunciation_ids, attention_mask=multiple_choice_input_mask, token_type_ids=multiple_choice_token_type_ids, labels=choice_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_choices)) def prepare_config_and_inputs_for_common(self): config_and_inputs = self.prepare_config_and_inputs() ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ) = config_and_inputs inputs_dict = { "input_ids": input_ids, "input_shape_ids": input_shape_ids, "input_pronunciation_ids": input_pronunciation_ids, "token_type_ids": token_type_ids, "attention_mask": input_mask, } return config, inputs_dict def create_and_check_for_pretraining( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForPreTraining(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids, input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, attack_input_ids=input_ids, attack_input_shape_ids=input_shape_ids, attack_input_pronunciation_ids=input_pronunciation_ids, attack_attention_mask=input_mask, attack_token_type_ids=token_type_ids, labels_input_ids=token_labels, labels_input_shape_ids=input_shape_ids, labels_input_pronunciation_ids=input_pronunciation_ids, labels_attention_mask=input_mask, labels_token_type_ids=token_type_ids, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
14,391
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7
{"_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": "inline", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "type_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "::"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "_"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "clean_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "inline", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "retrieve_py_variable", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "var_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "%(type)s *%(name)s = convert_to_%(clean_type)s(%(var_name)s,\"%(name)s\");\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "template", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "template", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "locals", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "code", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "code", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "declaration_code", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def declaration_code(self,inline=0): type = self.type_name clean_type = type.replace('::','_') name = self.name var_name = self.retrieve_py_variable(inline) template = '%(type)s *%(name)s = '\ 'convert_to_%(clean_type)s(%(var_name)s,"%(name)s");\n' code = template % locals() return code
14,392
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{}}}}, {"_type": "Name", "_fields": {"id": "sequence_labels", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "token_labels", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "choice_labels", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "prepare_config_and_inputs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def prepare_config_and_inputs(self): input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size) input_shape_ids = ids_tensor([self.batch_size, self.seq_length], self.shape_vocab_size) input_pronunciation_ids = ids_tensor([self.batch_size, self.seq_length], self.pronunciation_vocab_size) input_mask = None if self.use_input_mask: input_mask = random_attention_mask([self.batch_size, self.seq_length]) token_type_ids = None if self.use_token_type_ids: token_type_ids = ids_tensor([self.batch_size, self.seq_length], self.type_vocab_size) sequence_labels = None token_labels = None choice_labels = None if self.use_labels: sequence_labels = ids_tensor([self.batch_size], self.type_sequence_label_size) token_labels = ids_tensor([self.batch_size, self.seq_length], self.num_labels) choice_labels = ids_tensor([self.batch_size], self.num_choices) config = self.get_config() return ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, )
14,393
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def prepare_config_and_inputs_for_decoder(self): ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ) = self.prepare_config_and_inputs() config.is_decoder = True encoder_hidden_states = floats_tensor([self.batch_size, self.seq_length, self.hidden_size]) encoder_attention_mask = ids_tensor([self.batch_size, self.seq_length], vocab_size=2) return ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, )
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8
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def create_and_check_model_as_decoder( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): config.add_cross_attention = True model = RoCBertModel(config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, encoder_hidden_states=encoder_hidden_states, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, ) self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size))
14,395
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8
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def create_and_check_model( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertModel(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, ) result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, token_type_ids=token_type_ids, ) result = model(input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids) self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size))
14,396
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8
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def create_and_check_for_causal_lm( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): model = RoCBertForCausalLM(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
14,397
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"_fields": {}}}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "batch_size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seq_length", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vocab_size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "create_and_check_for_masked_lm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def create_and_check_for_masked_lm( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForMaskedLM(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
14,398
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8
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def create_and_check_for_question_answering( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForQuestionAnswering(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, start_positions=sequence_labels, end_positions=sequence_labels, ) self.parent.assertEqual(result.start_logits.shape, (self.batch_size, self.seq_length)) self.parent.assertEqual(result.end_logits.shape, (self.batch_size, self.seq_length))
14,399
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def create_and_check_decoder_model_past_large_inputs( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ): config.is_decoder = True config.add_cross_attention = True model = RoCBertForCausalLM(config=config) model.to(torch_device) model.eval() # first forward pass outputs = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, use_cache=True, ) past_key_values = outputs.past_key_values # create hypothetical multiple next token and extent to next_input_ids next_tokens = ids_tensor((self.batch_size, 3), config.vocab_size) next_shape_tokens = ids_tensor((self.batch_size, 3), config.shape_vocab_size) next_pronunciation_tokens = ids_tensor((self.batch_size, 3), config.pronunciation_vocab_size) next_mask = ids_tensor((self.batch_size, 3), vocab_size=2) # append to next input_ids and next_input_ids = torch.cat([input_ids, next_tokens], dim=-1) next_input_shape_ids = torch.cat([input_shape_ids, next_shape_tokens], dim=-1) next_input_pronunciation_ids = torch.cat([input_pronunciation_ids, next_pronunciation_tokens], dim=-1) next_attention_mask = torch.cat([input_mask, next_mask], dim=-1) output_from_no_past = model( next_input_ids, input_shape_ids=next_input_shape_ids, input_pronunciation_ids=next_input_pronunciation_ids, attention_mask=next_attention_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, output_hidden_states=True, )["hidden_states"][0] output_from_past = model( next_tokens, input_shape_ids=next_shape_tokens, input_pronunciation_ids=next_pronunciation_tokens, attention_mask=next_attention_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_attention_mask, past_key_values=past_key_values, output_hidden_states=True, )["hidden_states"][0] # select random slice random_slice_idx = ids_tensor((1,), output_from_past.shape[-1]).item() output_from_no_past_slice = output_from_no_past[:, -3:, random_slice_idx].detach() output_from_past_slice = output_from_past[:, :, random_slice_idx].detach() self.parent.assertTrue(output_from_past_slice.shape[1] == next_tokens.shape[1]) # test that outputs are equal for slice self.parent.assertTrue(torch.allclose(output_from_past_slice, output_from_no_past_slice, atol=1e-3))
14,400
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def create_and_check_for_sequence_classification( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_labels = self.num_labels model = RoCBertForSequenceClassification(config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=sequence_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_labels))