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9
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do\n ssh -T %(sshopts)s -p %(ssh)s %(username)s@localhost << %(eof)s\n"}}, "right": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "ssh"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "eof"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "sshopts"}}], "values": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "ssh"}}, "value": {"_type": "Name", "_fields": {"id": "vm", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "eof", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sshopts", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "outs", "ctx": {"_type": "Store", "_fields": {}}}}}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "outs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "access_prologue", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def access_prologue(args, vm, outs, escape = True): token = None eof = '\'EOI\'' if escape else 'EOI' if args.namespaces: scriptname = '.%s.initscript' % vm['name'] outs += 'cat > %(script)s << %(eof)s\n' % {'script': scriptname, 'eof': eof} outs += '#!/bin/bash\n' token = scriptname else: outs += 'DONE=255\n'\ 'while [ $DONE != "0" ]; do\n'\ ' ssh -T %(sshopts)s -p %(ssh)s %(username)s@localhost << %(eof)s\n'\ % {'ssh': vm['ssh'], 'username': args.user, 'eof': eof, 'sshopts': args.sshopts} return outs, token
16,702
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11
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def graph_node_depth(graph, node, ub): frontier = FrontierSet() marked = set() frontier.add(node) marked.add(node) level = 0 while not frontier.empty(): new_frontier = FrontierSet() level += 1 if level == ub: return level # not worth going on while not frontier.empty(): cur = frontier.pop() for (neigh, lower_dif) in graph[cur]: if neigh not in marked: new_frontier.add(neigh) marked.add(neigh) frontier = new_frontier return level
16,703
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12
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[]}}}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_exc", "value": {"_type": "Name", "_fields": {"id": "traceback", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "response", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "camel_dict_to_snake_dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ClientError", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exceptions", "value": {"_type": "Name", "_fields": {"id": "botocore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "finalbody": []}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "versions", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "delete_oldest_non_default_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def delete_oldest_non_default_version(module, iam, policy): try: versions = [v for v in iam.list_policy_versions(PolicyArn=policy['Arn'])['Versions'] if not v['IsDefaultVersion']] except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't list policy versions: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) versions.sort(key=lambda v: v['CreateDate'], reverse=True) for v in versions[-1:]: try: iam.delete_policy_version(PolicyArn=policy['Arn'], VersionId=v['VersionId']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't delete policy version: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response))
16,704
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11
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def get_policy_by_name(module, iam, name): try: response = list_policies_with_backoff(iam) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't list policies: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for policy in response['Policies']: if policy['PolicyName'] == name: return policy return None
16,705
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12
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def set_if_default(module, iam, policy, policy_version, is_default): if is_default and not policy_version['IsDefaultVersion']: try: iam.set_default_policy_version(PolicyArn=policy['Arn'], VersionId=policy_version['VersionId']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't set default policy version: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) return True return False
16,706
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13
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def get_or_create_policy_version(module, iam, policy, policy_document): try: versions = iam.list_policy_versions(PolicyArn=policy['Arn'])['Versions'] except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't list policy versions: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for v in versions: try: document = iam.get_policy_version(PolicyArn=policy['Arn'], VersionId=v['VersionId'])['PolicyVersion']['Document'] except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't get policy version %s: %s" % (v['VersionId'], str(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) # If the current policy matches the existing one if not compare_policies(document, json.loads(to_native(policy_document))): return v, False # No existing version so create one # There is a service limit (typically 5) of policy versions. # # Rather than assume that it is 5, we'll try to create the policy # and if that doesn't work, delete the oldest non default policy version # and try again. try: version = iam.create_policy_version(PolicyArn=policy['Arn'], PolicyDocument=policy_document)['PolicyVersion'] return version, True except botocore.exceptions.ClientError as e: if e.response['Error']['Code'] == 'LimitExceeded': delete_oldest_non_default_version(module, iam, policy) try: version = iam.create_policy_version(PolicyArn=policy['Arn'], PolicyDocument=policy_document)['PolicyVersion'] return version, True except botocore.exceptions.ClientError as second_e: e = second_e # Handle both when the exception isn't LimitExceeded or # the second attempt still failed module.fail_json(msg="Couldn't create policy version: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response))
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def detach_all_entities(module, iam, policy, **kwargs): try: entities = iam.list_entities_for_policy(PolicyArn=policy['Arn'], **kwargs) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't detach list entities for policy %s: %s" % (policy['PolicyName'], str(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for g in entities['PolicyGroups']: try: iam.detach_group_policy(PolicyArn=policy['Arn'], GroupName=g['GroupName']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't detach group policy %s: %s" % (g['GroupName'], str(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for u in entities['PolicyUsers']: try: iam.detach_user_policy(PolicyArn=policy['Arn'], UserName=u['UserName']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't detach user policy %s: %s" % (u['UserName'], str(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for r in entities['PolicyRoles']: try: iam.detach_role_policy(PolicyArn=policy['Arn'], RoleName=r['RoleName']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't detach role policy %s: %s" % (r['RoleName'], str(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) if entities['IsTruncated']: detach_all_entities(module, iam, policy, marker=entities['Marker'])
16,708
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13
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "iam", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "policy", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "policy_version", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "is_only", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": 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null, "value": 0}}]}}}}], "test": {"_type": "Name", "_fields": {"id": "is_only", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "set_if_only", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def set_if_only(module, iam, policy, policy_version, is_only): if is_only: try: versions = [v for v in iam.list_policy_versions(PolicyArn=policy['Arn'])[ 'Versions'] if not v['IsDefaultVersion']] except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't list policy versions: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for v in versions: try: iam.delete_policy_version(PolicyArn=policy['Arn'], VersionId=v['VersionId']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't delete policy version: %s" % str(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) return len(versions) > 0 return False
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def main(): argument_spec = ec2_argument_spec() argument_spec.update(dict( policy_name=dict(required=True), policy_description=dict(default=''), policy=dict(type='json'), make_default=dict(type='bool', default=True), only_version=dict(type='bool', default=False), fail_on_delete=dict(type='bool', default=True), state=dict(default='present', choices=['present', 'absent']), )) module = AnsibleModule( argument_spec=argument_spec, required_if=[['state', 'present', ['policy']]] ) if not HAS_BOTO3: module.fail_json(msg='boto3 is required for this module') name = module.params.get('policy_name') description = module.params.get('policy_description') state = module.params.get('state') default = module.params.get('make_default') only = module.params.get('only_version') policy = None if module.params.get('policy') is not None: policy = json.dumps(json.loads(module.params.get('policy'))) try: region, ec2_url, aws_connect_kwargs = get_aws_connection_info(module, boto3=True) iam = boto3_conn(module, conn_type='client', resource='iam', region=region, endpoint=ec2_url, **aws_connect_kwargs) except (botocore.exceptions.NoCredentialsError, botocore.exceptions.ProfileNotFound) as e: module.fail_json(msg="Can't authorize connection. Check your credentials and profile.", exceptions=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) p = get_policy_by_name(module, iam, name) if state == 'present': if p is None: # No Policy so just create one try: rvalue = iam.create_policy(PolicyName=name, Path='/', PolicyDocument=policy, Description=description) except Exception as e: module.fail_json(msg="Couldn't create policy %s: %s" % (name, to_native(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) module.exit_json(changed=True, policy=camel_dict_to_snake_dict(rvalue['Policy'])) else: policy_version, changed = get_or_create_policy_version(module, iam, p, policy) changed = set_if_default(module, iam, p, policy_version, default) or changed changed = set_if_only(module, iam, p, policy_version, only) or changed # If anything has changed we needto refresh the policy if changed: try: p = iam.get_policy(PolicyArn=p['Arn'])['Policy'] except Exception as e: module.fail_json(msg="Couldn't get policy: %s" % to_native(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) module.exit_json(changed=changed, policy=camel_dict_to_snake_dict(p)) else: # Check for existing policy if p: # Detach policy detach_all_entities(module, iam, p) # Delete Versions try: versions = iam.list_policy_versions(PolicyArn=p['Arn'])['Versions'] except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't list policy versions: %s" % to_native(e), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) for v in versions: if not v['IsDefaultVersion']: try: iam.delete_policy_version(PolicyArn=p['Arn'], VersionId=v['VersionId']) except botocore.exceptions.ClientError as e: module.fail_json(msg="Couldn't delete policy version %s: %s" % (v['VersionId'], to_native(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) # Delete policy try: iam.delete_policy(PolicyArn=p['Arn']) except Exception as e: module.fail_json(msg="Couldn't delete policy %s: %s" % (p['PolicyName'], to_native(e)), exception=traceback.format_exc(), **camel_dict_to_snake_dict(e.response)) # This is the one case where we will return the old policy module.exit_json(changed=True, policy=camel_dict_to_snake_dict(p)) else: module.exit_json(changed=False, policy=None)
16,710
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "port", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args", "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": "OptionParser", "value": {"_type": "Name", "_fields": {"id": "optparse", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_args", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "WebComponentsProject", "value": {"_type": "Name", "_fields": {"id": "web_components_project", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "project", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DevServer", "value": {"_type": "Name", "_fields": {"id": "tvcm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "port", "value": {"_type": "Name", "_fields": {"id": "port", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "project", "value": {"_type": "Name", "_fields": {"id": "project", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module_resource", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "telemetry_path", "value": {"_type": "Name", "_fields": {"id": "project", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "absolute_path", "value": {"_type": "Name", "_fields": {"id": "module_resource", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "IsTestModuleResourcePartOfTelemetry", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "IsTestModuleResourcePartOfTelemetry", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "test_module_resource_filter", "value": {"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "serve_forever", "value": {"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "Main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def Main(port, args): parser = optparse.OptionParser() _, args = parser.parse_args(args) project = web_components_project.WebComponentsProject() server = tvcm.DevServer( port=port, project=project) def IsTestModuleResourcePartOfTelemetry(module_resource): return module_resource.absolute_path.startswith(project.telemetry_path) server.test_module_resource_filter = IsTestModuleResourcePartOfTelemetry return server.serve_forever()
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceCreateJobOperator`."}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceCreateJobOperator`.""", DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,712
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12
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"generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "OBSOLETE_BENEFITS", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "delete", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "db_alias", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "using", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "BenefitLevel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "benefit__name__in", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "delete", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "db_alias", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "using", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "SponsorBenefit", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "benefit__name__in", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "delete", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "db_alias", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "using", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "Benefit", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name__in", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "keywords": []}}}}], "name": "forward", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def forward(apps, schema_editor): Benefit = apps.get_model('sponsorship', 'Benefit') BenefitLevel = apps.get_model('sponsorship', 'BenefitLevel') SponsorBenefit = apps.get_model('sponsorship', 'SponsorBenefit') db_alias = schema_editor.connection.alias names = [b['name'] for b in OBSOLETE_BENEFITS] # Clean up other records that use these first BenefitLevel.objects.using(db_alias).filter(benefit__name__in=names).delete() SponsorBenefit.objects.using(db_alias).filter(benefit__name__in=names).delete() # Now we can remove the Benefit records themselves Benefit.objects.using(db_alias).filter(name__in=names).delete()
16,713
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceDeleteJobOperator`."}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceDeleteJobOperator`.""", DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,714
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceUpdateJobOperator`."}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceUpdateJobOperator`.""", DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,715
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceCancelOperationOperator`.\n "}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceCancelOperationOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,716
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceGetOperationOperator`."}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceGetOperationOperator`.""", DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,717
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8
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def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceResumeOperationOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,718
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServicePauseOperationOperator`.\n "}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServicePauseOperationOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,719
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8
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def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceGCSToGCSOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,720
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This class is deprecated.\n Please use `airflow.providers.google.cloud.operators.data_transfer\n .CloudDataTransferServiceListOperationsOperator`.\n "}}, {"_type": "Name", "_fields": {"id": "DeprecationWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stacklevel", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): warnings.warn( """This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceListOperationsOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,721
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"type_comment": null}}, {"_type": "arg", "_fields": {"arg": "token", "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": "get_profile_fields", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_provider", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "HEADERS"}}, {"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_settings", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_provider", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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"Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "email_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "requests", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "headers", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "json", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ok", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "QUERY_EMAIL", "value": {"_type": "Name", "_fields": {"id": "app_settings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "profile_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "?projection=(%s)"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ","}}}}, "keywords": []}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "requests", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "headers", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raise_for_status", "value": {"_type": "Name", "_fields": {"id": "resp", "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": "json", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get_user_info", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "LinkedInOAuth2Adapter", "bases": [{"_type": "Name", "_fields": {"id": "OAuth2Adapter", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class LinkedInOAuth2Adapter(OAuth2Adapter): provider_id = LinkedInOAuth2Provider.id access_token_url = "https://www.linkedin.com/oauth/v2/accessToken" authorize_url = "https://www.linkedin.com/oauth/v2/authorization" profile_url = "https://api.linkedin.com/v2/me" email_url = "https://api.linkedin.com/v2/emailAddress?q=members&projection=(elements*(handle~))" # noqa # See: # http://developer.linkedin.com/forum/unauthorized-invalid-or-expired-token-immediately-after-receiving-oauth2-token?page=1 # noqa access_token_method = "GET" def complete_login(self, request, app, token, **kwargs): extra_data = self.get_user_info(token) return self.get_provider().sociallogin_from_response(request, extra_data) def get_user_info(self, token): fields = self.get_provider().get_profile_fields() headers = {} headers.update(self.get_provider().get_settings().get("HEADERS", {})) headers["Authorization"] = " ".join(["Bearer", token.token]) info = {} if app_settings.QUERY_EMAIL: resp = requests.get(self.email_url, headers=headers) # If this response goes wrong, that is not a blocker in order to # continue. if resp.ok: info = resp.json() url = self.profile_url + "?projection=(%s)" % ",".join(fields) resp = requests.get(url, headers=headers) resp.raise_for_status() info.update(resp.json()) return info
16,722
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8
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def __init__(self, *args, **kwargs): warnings.warn( """"This class is deprecated. Please use `airflow.providers.google.cloud.operators.data_transfer .CloudDataTransferServiceS3ToGCSOperator`. """, DeprecationWarning, stacklevel=2 ) super().__init__(*args, **kwargs)
16,723
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"left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "base_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "UUID3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", 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"_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InstanceNotFound", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "instance_id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 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[]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "base_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "70f6db34-de8d-4fbd-aafb-4065bdfa6115"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_int", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 404}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_no_instance_passthrough_404", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ExtendedAvailabilityZoneTestV21", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ExtendedAvailabilityZoneTestV21(test.TestCase): content_type = 'application/json' prefix = 'OS-EXT-AZ:' base_url = '/v2/fake/servers/' def setUp(self): super(ExtendedAvailabilityZoneTestV21, self).setUp() availability_zones.reset_cache() fakes.stub_out_nw_api(self.stubs) self.stubs.Set(compute.api.API, 'get', fake_compute_get) self.stubs.Set(compute.api.API, 'get_all', fake_compute_get_all) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_host_availability_zone) return_server = fakes.fake_instance_get() self.stubs.Set(db, 'instance_get_by_uuid', return_server) def _make_request(self, url): req = webob.Request.blank(url) req.headers['Accept'] = self.content_type res = req.get_response(fakes.wsgi_app_v21(init_only=None)) return res def _get_server(self, body): return jsonutils.loads(body).get('server') def _get_servers(self, body): return jsonutils.loads(body).get('servers') def assertAvailabilityZone(self, server, az): self.assertEqual(server.get('%savailability_zone' % self.prefix), az) def test_show_no_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_az) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = self.base_url + UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz') def test_show_empty_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_empty) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = self.base_url + UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz') def test_show(self): url = self.base_url + UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'get-host') def test_detail(self): url = self.base_url + 'detail' res = self._make_request(url) self.assertEqual(res.status_int, 200) for i, server in enumerate(self._get_servers(res.body)): self.assertAvailabilityZone(server, 'all-host') def test_no_instance_passthrough_404(self): def fake_compute_get(*args, **kwargs): raise exception.InstanceNotFound(instance_id='fake') self.stubs.Set(compute.api.API, 'get', fake_compute_get) url = self.base_url + '70f6db34-de8d-4fbd-aafb-4065bdfa6115' res = self._make_request(url) self.assertEqual(res.status_int, 404)
16,724
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12
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def get_user_info(self, token): fields = self.get_provider().get_profile_fields() headers = {} headers.update(self.get_provider().get_settings().get("HEADERS", {})) headers["Authorization"] = " ".join(["Bearer", token.token]) info = {} if app_settings.QUERY_EMAIL: resp = requests.get(self.email_url, headers=headers) # If this response goes wrong, that is not a blocker in order to # continue. if resp.ok: info = resp.json() url = self.profile_url + "?projection=(%s)" % ",".join(fields) resp = requests.get(url, headers=headers) resp.raise_for_status() info.update(resp.json()) return info
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8
{"_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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "API", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "api", "value": {"_type": "Name", "_fields": {"id": "compute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "get"}}, {"_type": "Name", "_fields": {"id": "fake_compute_get_az", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stubs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "availability_zones", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "get_host_availability_zone"}}, {"_type": "Name", "_fields": {"id": "fake_get_no_host_availability_zone", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stubs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "base_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "UUID3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_int", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 200}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_server", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "fakeaz"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAvailabilityZone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_show_no_host_az", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_show_no_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_az) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = self.base_url + UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz')
16,726
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"value": "get_all"}}, {"_type": "Name", "_fields": {"id": "fake_compute_get_all", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stubs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "availability_zones", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "get_host_availability_zone"}}, {"_type": "Name", "_fields": {"id": "fake_get_host_availability_zone", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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{"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stubs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUp(self): super(ExtendedAvailabilityZoneTestV21, self).setUp() availability_zones.reset_cache() fakes.stub_out_nw_api(self.stubs) self.stubs.Set(compute.api.API, 'get', fake_compute_get) self.stubs.Set(compute.api.API, 'get_all', fake_compute_get_all) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_host_availability_zone) return_server = fakes.fake_instance_get() self.stubs.Set(db, 'instance_get_by_uuid', return_server)
16,727
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8
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def test_show_empty_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_empty) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = self.base_url + UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz')
16,728
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8
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def test_no_instance_passthrough_404(self): def fake_compute_get(*args, **kwargs): raise exception.InstanceNotFound(instance_id='fake') self.stubs.Set(compute.api.API, 'get', fake_compute_get) url = self.base_url + '70f6db34-de8d-4fbd-aafb-4065bdfa6115' res = self._make_request(url) self.assertEqual(res.status_int, 404)
16,729
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13
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def from_settings(cls, settings, crawler=None): mwlist = cls._get_mwlist_from_settings(settings) middlewares = [] for clspath in mwlist: try: mwcls = load_object(clspath) if crawler and hasattr(mwcls, 'from_crawler'): mw = mwcls.from_crawler(crawler) elif hasattr(mwcls, 'from_settings'): mw = mwcls.from_settings(settings) else: mw = mwcls() middlewares.append(mw) except NotConfigured as e: if e.args: clsname = clspath.split('.')[-1] log.msg(format="Disabled %(clsname)s: %(eargs)s", level=log.WARNING, clsname=clsname, eargs=e.args[0]) enabled = [x.__class__.__name__ for x in middlewares] log.msg(format="Enabled %(componentname)ss: %(enabledlist)s", level=log.INFO, componentname=cls.component_name, enabledlist=', '.join(enabled)) return cls(*middlewares)
16,730
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/xml"}}, "targets": [{"_type": "Name", "_fields": {"id": "content_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "{%s}"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "namespace", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Extended_availability_zone", "value": {"_type": "Name", "_fields": {"id": "extended_availability_zone", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "body", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "XML", "value": {"_type": "Name", "_fields": {"id": "etree", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_get_server", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "body", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getchildren", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "XML", "value": {"_type": "Name", "_fields": {"id": "etree", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_get_servers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ExtendedAvailabilityZoneXmlTestV2", "bases": [{"_type": "Name", "_fields": {"id": "ExtendedAvailabilityZoneTestV2", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ExtendedAvailabilityZoneXmlTestV2(ExtendedAvailabilityZoneTestV2): content_type = 'application/xml' prefix = '{%s}' % extended_availability_zone.\ Extended_availability_zone.namespace def _get_server(self, body): return etree.XML(body) def _get_servers(self, body): return etree.XML(body).getchildren()
16,731
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "op", "value": {"_type": "Name", "_fields": {"id": "alembic", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "users"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "patreon_token_expires"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "drop_column", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "op", "value": {"_type": "Name", "_fields": {"id": "alembic", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "upgrade", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def upgrade(): patreon_users = alembic.op.create_table("patreon_users", sqlalchemy.Column("id", sqlalchemy.Integer, primary_key=True), sqlalchemy.Column("patreon_id", sqlalchemy.Text, unique=True), sqlalchemy.Column("full_name", sqlalchemy.Text, nullable=False), sqlalchemy.Column("access_token", sqlalchemy.Text), sqlalchemy.Column("refresh_token", sqlalchemy.Text), sqlalchemy.Column("token_expires", sqlalchemy.DateTime(timezone=True)), sqlalchemy.Column("pledge_start", sqlalchemy.DateTime(timezone=True)), sqlalchemy.Column("last_announce_month", sqlalchemy.Integer), ) alembic.op.add_column("users", sqlalchemy.Column("patreon_user", sqlalchemy.Integer, sqlalchemy.ForeignKey("patreon_users.id", onupdate="CASCADE", ondelete="SET NULL"), unique=True, ) ) # TODO: migrate conn = alembic.op.get_bind() meta = sqlalchemy.MetaData(bind=conn) meta.reflect() users = meta.tables["users"] existing_accounts = conn.execute(sqlalchemy.select([users.c.id, users.c.patreon_access_token, users.c.patreon_refresh_token, users.c.patreon_token_expires]) .where(users.c.patreon_access_token.isnot(None))) all_patreon_users = [] all_users = [] clientid = alembic.context.config.get_section_option('lrrbot', 'patreon_clientid') clientsecret = alembic.context.config.get_section_option('lrrbot', 'patreon_clientsecret') with requests.Session() as session: for user_id, access_token, refresh_token, expires in existing_accounts: now = datetime.datetime.now(tz=pytz.utc) if expires < now: req = session.post("https://api.patreon.com/oauth2/token", data={ 'grant_type': 'refresh_token', 'client_id': clientid, 'client_secret': clientsecret, 'refresh_token': refresh_token }) req.raise_for_status() data = req.json() access_token = data["access_token"] refresh_token = data["refresh_token"] expires = datetime.datetime.now(pytz.utc) + datetime.timedelta(seconds=data["expires_in"]) req = session.get("https://api.patreon.com/oauth2/api/current_user", headers={"Authorization": "Bearer %s" % access_token}) req.raise_for_status() data = req.json() user = { "patreon_id": data["data"]["id"], "full_name": data["data"]["attributes"]["full_name"], "access_token": access_token, "refresh_token": refresh_token, "token_expires": expires, } if 'pledges' in data["data"].get("relationships", {}): for pledge in data["data"]["relationships"]["pledges"]["data"]: for obj in data["included"]: if obj["id"] == pledge["id"] and obj["type"] == pledge["type"]: user["pledge_start"] = dateutil.parser.parse(obj["attributes"]["created_at"]) all_patreon_users.append(user) all_users.append((user_id, data["data"]["id"])) alembic.op.bulk_insert(patreon_users, all_patreon_users) for user_id, patreon_id in all_users: conn.execute(users.update() .values(patreon_user=patreon_users.c.id) .where(users.c.id == user_id) .where(patreon_users.c.patreon_id == patreon_id) ) alembic.op.drop_column("users", "patreon_access_token") alembic.op.drop_column("users", "patreon_refresh_token") alembic.op.drop_column("users", "patreon_token_expires")
16,732
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12
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"ExtensionLocal", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "integrator_LangevinThermostatOnRadius", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class LangevinThermostatOnRadiusLocal(ExtensionLocal, integrator_LangevinThermostatOnRadius): def __init__(self, system, dampingmass): if not (pmi._PMIComm and pmi._PMIComm.isActive()) or pmi._MPIcomm.rank in pmi._PMIComm.getMPIcpugroup(): cxxinit(self, integrator_LangevinThermostatOnRadius, system, dampingmass) def addExclusions(self, pidlist): if not (pmi._PMIComm and pmi._PMIComm.isActive()) or pmi._MPIcomm.rank in pmi._PMIComm.getMPIcpugroup(): for pid in pidlist: self.cxxclass.addExclpid(self, pid)
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12
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def downgrade(): alembic.op.add_column("users", sqlalchemy.Column("patreon_access_token", sqlalchemy.Text)) alembic.op.add_column("users", sqlalchemy.Column("patreon_refresh_token", sqlalchemy.Text)) alembic.op.add_column("users", sqlalchemy.Column("patreon_token_expires", sqlalchemy.DateTime(timezone=True))) conn = alembic.op.get_bind() meta = sqlalchemy.MetaData(bind=conn) meta.reflect() users = meta.tables["users"] patreon_users = meta.tables["patreon_users"] alembic.op.execute(users.update().where(users.c.patreon_id == patreon_users.c.id)).values({ "patreon_access_token": patreon_users.c.access_token, "patreon_refresh_token": patreon_users.c.refresh_token, "patreon_token_expires": patreon_users.c.token_expires, }) alembic.op.drop_column("users", "patreon_id") alembic.op.drop_table("patreon_users")
16,734
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12
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class HiddenFileTest(unittest.TestCase): def setUp(self): pass def test_osx_hidden(self): if not sys.platform == 'darwin': self.skipTest('sys.platform is not darwin') return with tempfile.NamedTemporaryFile(delete=False) as f: try: command = ["chflags", "hidden", f.name] subprocess.Popen(command).wait() except OSError as e: if e.errno == errno.ENOENT: self.skipTest("unable to find chflags") else: raise e self.assertTrue(hidden.is_hidden(f.name)) def test_windows_hidden(self): if not sys.platform == 'win32': self.skipTest('sys.platform is not windows') return # FILE_ATTRIBUTE_HIDDEN = 2 (0x2) from GetFileAttributes documentation. hidden_mask = 2 with tempfile.NamedTemporaryFile() as f: # Hide the file using success = ctypes.windll.kernel32.SetFileAttributesW(f.name, hidden_mask) if not success: self.skipTest("unable to set file attributes") self.assertTrue(hidden.is_hidden(f.name)) def test_other_hidden(self): if sys.platform == 'darwin' or sys.platform == 'win32': self.skipTest('sys.platform is known') return with tempfile.NamedTemporaryFile(prefix='.tmp') as f: fn = util.bytestring_path(f.name) self.assertTrue(hidden.is_hidden(fn))
16,735
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "sys.platform is not windows"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "skipTest", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "win32"}}]}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "targets": [{"_type": "Name", "_fields": {"id": "hidden_mask", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "hidden_mask", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SetFileAttributesW", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "kernel32", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "windll", "value": {"_type": "Name", "_fields": {"id": "ctypes", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "success", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "unable to set file attributes"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "skipTest", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "success", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_hidden", "value": {"_type": "Name", "_fields": {"id": "hidden", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NamedTemporaryFile", "value": {"_type": "Name", "_fields": {"id": "tempfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_windows_hidden", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_windows_hidden(self): if not sys.platform == 'win32': self.skipTest('sys.platform is not windows') return # FILE_ATTRIBUTE_HIDDEN = 2 (0x2) from GetFileAttributes documentation. hidden_mask = 2 with tempfile.NamedTemporaryFile() as f: # Hide the file using success = ctypes.windll.kernel32.SetFileAttributesW(f.name, hidden_mask) if not success: self.skipTest("unable to set file attributes") self.assertTrue(hidden.is_hidden(f.name))
16,736
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11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "sys.platform is not darwin"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "skipTest", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "darwin"}}]}}}}, "orelse": []}}, {"_type": "With", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "chflags"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "hidden"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "command", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "command", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Popen", "value": {"_type": "Name", "_fields": {"id": "subprocess", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "unable to find chflags"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "skipTest", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "errno", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ENOENT", "value": {"_type": "Name", "_fields": {"id": "errno", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}, "cause": null}}]}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "OSError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_hidden", "value": {"_type": "Name", "_fields": {"id": "hidden", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NamedTemporaryFile", "value": {"_type": "Name", "_fields": {"id": "tempfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "delete", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "optional_vars": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_osx_hidden", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_osx_hidden(self): if not sys.platform == 'darwin': self.skipTest('sys.platform is not darwin') return with tempfile.NamedTemporaryFile(delete=False) as f: try: command = ["chflags", "hidden", f.name] subprocess.Popen(command).wait() except OSError as e: if e.errno == errno.ENOENT: self.skipTest("unable to find chflags") else: raise e self.assertTrue(hidden.is_hidden(f.name))
16,737
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9
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def test_other_hidden(self): if sys.platform == 'darwin' or sys.platform == 'win32': self.skipTest('sys.platform is known') return with tempfile.NamedTemporaryFile(prefix='.tmp') as f: fn = util.bytestring_path(f.name) self.assertTrue(hidden.is_hidden(fn))
16,738
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13
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def get_logical_type(arrow_type): logical_type_map = get_logical_type_map() try: return logical_type_map[arrow_type.id] except KeyError: if isinstance(arrow_type, pa.lib.DictionaryType): return 'categorical' elif isinstance(arrow_type, pa.lib.ListType): return 'list[{}]'.format(get_logical_type(arrow_type.value_type)) elif isinstance(arrow_type, pa.lib.TimestampType): return 'datetimetz' if arrow_type.tz is not None else 'datetime' elif isinstance(arrow_type, pa.lib.Decimal128Type): return 'decimal' raise NotImplementedError(str(arrow_type))
16,739
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11
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def get_extension_dtype_info(column): dtype = column.dtype if str(dtype) == 'category': cats = getattr(column, 'cat', column) assert cats is not None metadata = { 'num_categories': len(cats.categories), 'ordered': cats.ordered, } physical_dtype = str(cats.codes.dtype) elif hasattr(dtype, 'tz'): metadata = {'timezone': pa.lib.tzinfo_to_string(dtype.tz)} physical_dtype = 'datetime64[ns]' else: metadata = None physical_dtype = str(dtype) return physical_dtype, metadata
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10
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def get_logical_type_from_numpy(pandas_collection): try: return _numpy_logical_type_map[pandas_collection.dtype.type] except KeyError: if hasattr(pandas_collection.dtype, 'tz'): return 'datetimetz' # See https://github.com/pandas-dev/pandas/issues/24739 if str(pandas_collection.dtype) == 'datetime64[ns]': return 'datetime64[ns]' result = _pandas_api.infer_dtype(pandas_collection) if result == 'string': return 'bytes' if PY2 else 'unicode' return result
16,741
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def _get_columns_to_convert(df, schema, preserve_index, columns): columns = _resolve_columns_of_interest(df, schema, columns) column_names = [] type = None index_levels = _get_index_level_values(df.index) if preserve_index else [] columns_to_convert = [] convert_types = [] if not df.columns.is_unique: raise ValueError( 'Duplicate column names found: {}'.format(list(df.columns)) ) for name in columns: col = df[name] name = _column_name_to_strings(name) if schema is not None: field = schema.field_by_name(name) type = getattr(field, "type", None) columns_to_convert.append(col) convert_types.append(type) column_names.append(name) index_descriptors = [] index_column_names = [] for i, index_level in enumerate(index_levels): name = _index_level_name(index_level, i, column_names) if isinstance(index_level, _pandas_api.pd.RangeIndex): descr = _get_range_index_descriptor(index_level) else: columns_to_convert.append(index_level) convert_types.append(None) descr = { 'kind': 'serialized', 'field_name': name } index_column_names.append(name) index_descriptors.append(descr) all_names = column_names + index_column_names # all_names : all of the columns in the resulting table including the data # columns and serialized index columns # column_names : the names of the data columns # index_descriptors : descriptions of each index to be used for # reconstruction # index_levels : the extracted index level values # columns_to_convert : assembled raw data (both data columns and indexes) # to be converted to Arrow format # columns_types : specified column types to use for coercion / casting # during serialization, if a Schema was provided return (all_names, column_names, index_descriptors, index_levels, columns_to_convert, convert_types)
16,742
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7
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def _get_simple_index_descriptor(level): string_dtype, extra_metadata = get_extension_dtype_info(level) pandas_type = get_logical_type_from_numpy(level) if pandas_type == 'unicode': assert not extra_metadata extra_metadata = {'encoding': 'UTF-8'} return { 'name': level.name, 'field_name': level.name, 'pandas_type': pandas_type, 'numpy_type': string_dtype, 'metadata': extra_metadata, }
16,743
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def dataframe_to_types(df, preserve_index, columns=None): (all_names, column_names, index_descriptors, index_columns, columns_to_convert, _) = _get_columns_to_convert(df, None, preserve_index, columns) types = [] # If pandas knows type, skip conversion for c in columns_to_convert: values = c.values if _pandas_api.is_categorical(values): type_ = pa.array(c, from_pandas=True).type else: values, type_ = get_datetimetz_type(values, c.dtype, None) type_ = pa.lib._ndarray_to_arrow_type(values, type_) if type_ is None: type_ = pa.array(c, from_pandas=True).type types.append(type_) metadata = construct_metadata(df, column_names, index_columns, index_descriptors, preserve_index, types) return all_names, types, metadata
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "df", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "schema", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "columns", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Schema and columns arguments are mutually exclusive, pass only one of them"}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "schema", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "names", "value": {"_type": "Name", "_fields": {"id": "schema", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "schema", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "iter": {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}]}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_resolve_columns_of_interest", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _resolve_columns_of_interest(df, schema, columns): if schema is not None and columns is not None: raise ValueError('Schema and columns arguments are mutually ' 'exclusive, pass only one of them') elif schema is not None: columns = schema.names elif columns is not None: columns = [c for c in columns if c in df.columns] else: columns = df.columns return columns
16,745
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11
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def _deserialize_column_index(block_table, all_columns, column_indexes): column_strings = [x.name for x in block_table.itercolumns()] if all_columns: columns_name_dict = { c.get('field_name', _column_name_to_strings(c['name'])): c['name'] for c in all_columns } columns_values = [ columns_name_dict.get(name, name) for name in column_strings ] else: columns_values = column_strings # If we're passed multiple column indexes then evaluate with # ast.literal_eval, since the column index values show up as a list of # tuples to_pair = ast.literal_eval if len(column_indexes) > 1 else lambda x: (x,) # Create the column index # Construct the base index if not columns_values: columns = _pandas_api.pd.Index(columns_values) else: columns = _pandas_api.pd.MultiIndex.from_tuples( list(map(to_pair, columns_values)), names=[col_index['name'] for col_index in column_indexes] or None, ) # if we're reconstructing the index if len(column_indexes) > 0: columns = _reconstruct_columns_from_metadata(columns, column_indexes) # ARROW-1751: flatten a single level column MultiIndex for pandas 0.21.0 columns = _flatten_single_level_multiindex(columns) return columns
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9
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def get_datetimetz_type(values, dtype, type_): if values.dtype.type != np.datetime64: return values, type_ if _pandas_api.is_datetimetz(dtype) and type_ is None: # If no user type passed, construct a tz-aware timestamp type tz = dtype.tz unit = dtype.unit type_ = pa.timestamp(unit, tz) elif type_ is None: # Trust the NumPy dtype type_ = pa.from_numpy_dtype(values.dtype) return values, type_
16,747
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def _reconstruct_index(table, index_descriptors, all_columns): # 0. 'field_name' is the name of the column in the arrow Table # 1. 'name' is the user-facing name of the column, that is, it came from # pandas # 2. 'field_name' and 'name' differ for index columns # 3. We fall back on c['name'] for backwards compatibility field_name_to_metadata = { c.get('field_name', c['name']): c for c in all_columns } # Build up a list of index columns and names while removing those columns # from the original table index_arrays = [] index_names = [] result_table = table for descr in index_descriptors: descr = _sanitize_old_index_descr(descr) if descr['kind'] == 'serialized': result_table, index_level, index_name = _extract_index_level( table, result_table, descr, field_name_to_metadata) if index_level is None: # ARROW-1883: the serialized index column was not found continue elif descr['kind'] == 'range': index_name = descr['name'] index_level = _pandas_api.pd.RangeIndex(descr['start'], descr['stop'], step=descr['step'], name=index_name) if len(index_level) != len(table): # Possibly the result of munged metadata continue else: raise ValueError("Unrecognized index kind: {0}" .format(descr['kind'])) index_arrays.append(index_level) index_names.append(index_name) pd = _pandas_api.pd # Reconstruct the row index if len(index_arrays) > 1: index = pd.MultiIndex.from_arrays(index_arrays, names=index_names) elif len(index_arrays) == 1: index = index_arrays[0] if not isinstance(index, pd.Index): # Box anything that wasn't boxed above index = pd.Index(index, name=index_names[0]) else: index = pd.RangeIndex(table.num_rows) return result_table, index
16,748
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14
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def _extract_index_level(table, result_table, descr, field_name_to_metadata): field_name = descr['field_name'] logical_name = field_name_to_metadata[field_name]['name'] index_name = _backwards_compatible_index_name(field_name, logical_name) i = table.schema.get_field_index(field_name) if i == -1: # The serialized index column was removed by the user return table, None, None col = table.column(i) col_pandas = col.to_pandas() values = col_pandas.values if hasattr(values, 'flags') and not values.flags.writeable: # ARROW-1054: in pandas 0.19.2, factorize will reject # non-writeable arrays when calling MultiIndex.from_arrays values = values.copy() pd = _pandas_api.pd if _pandas_api.is_datetimetz(col_pandas.dtype): index_level = (pd.Series(values).dt.tz_localize('utc') .dt.tz_convert(col_pandas.dtype.tz)) else: index_level = pd.Series(values, dtype=col_pandas.dtype) result_table = result_table.remove_column( result_table.schema.get_field_index(field_name) ) return result_table, index_level, index_name
16,749
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10
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def _get_serialized_index_names(index_descriptors, all_columns): serialized_index_names = [] for descr in index_descriptors: if not isinstance(descr, dict): # version < 0.13.0 serialized_index_names.append(descr) elif descr['kind'] != 'serialized': continue serialized_index_names.append(descr['field_name']) index_columns_set = frozenset(serialized_index_names) logical_index_names = [ c['name'] for c in all_columns if c.get('field_name', c['name']) in index_columns_set ] # There must be the same number of field names and physical names # (fields in the arrow Table) assert len(logical_index_names) == len(index_columns_set) return logical_index_names
16,750
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10
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def _flatten_single_level_multiindex(index): pd = _pandas_api.pd if isinstance(index, pd.MultiIndex) and index.nlevels == 1: levels, = index.levels labels, = _get_multiindex_codes(index) # Cheaply check that we do not somehow have duplicate column names if not index.is_unique: raise ValueError('Found non-unique column index') return pd.Index([levels[_label] if _label != -1 else None for _label in labels], name=index.names[0]) return index
16,751
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"ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscription_message_text", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "subscriber_event_outcome", "value": {"_type": "Name", "_fields": {"id": "outcome", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "subscriber_event_message_text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_unsubscriber", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SubscriptionMessage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "platform", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Type 'Subscribe' or 'Unsubscribe'."}}}}]}}}}]}}]}}], "name": "subscription_message", "returns": null, "type_params": [], 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"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "messaging"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "entry"}}, "value": {"_type": "Name", "_fields": {"id": "subscriber_event_message", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}}}}}], "name": "subscriber_event_message_text", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriber_event_message", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "sender"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "messaging"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "entry"}}, "value": {"_type": "Name", "_fields": {"id": "subscriber_event_message", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}}}}}], "name": "subscriber_id", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriber_event_outcome", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "subscriber_event_outcome", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscriber_event_outcome_messages", "value": {"_type": "Name", "_fields": {"id": "FacebookSubscriberEventProcessor", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outcome_message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Unknown outcome: {outcome}"}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "outcome", "value": {"_type": "Name", "_fields": {"id": "subscriber_event_outcome", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "outcome_message", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "outcome_message", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "subscription_message_text", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "FacebookSubscriberEventProcessor", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class FacebookSubscriberEventProcessor: logger = logging.getLogger("publisher") subscriber_event_outcome_messages = { SubscriberEventOutcome.subscription_created: "You are now subscribed!", SubscriberEventOutcome.resubscribed: "Thanks for resubscribing!", SubscriberEventOutcome.already_subscribed: "You are already subscribed!", SubscriberEventOutcome.subscription_does_not_exist: "You don't have a subscription!", SubscriberEventOutcome.already_unsubscribed: "You are already unsubscribed!", SubscriberEventOutcome.unsubscribed: "You were unsubscribed!" } def __init__(self): self.platform = "facebook" self.redis_client = redis.StrictRedis().from_url(url=REDIS_URL) self.subscriber = Subscriber(subscriptions=Subscription.objects, platform_name=self.platform) self.unsubscriber = Unsubscriber(subscriptions=Subscription.objects, platform_name=self.platform) def process(self, subscriber_event_message): FacebookSubscriberEventProcessor.logger.info("Processing message: {}".format(subscriber_event_message)) subscriber_id = self.subscriber_id(subscriber_event_message) subscriber_event_message_text = self.subscriber_event_message_text(subscriber_event_message) subscription_message = self.subscription_message(subscriber_id=subscriber_id, subscriber_event_message_text=subscriber_event_message_text) subscriber_count = self.redis_client.publish(channel=REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME, message=subscription_message.to_json()) FacebookSubscriberEventProcessor.logger.info( "Published message: {subscription_message} to {subscriber_count} subscribers on channel: {channel_name}" .format(subscription_message=subscription_message.to_json(), subscriber_count=subscriber_count, channel_name=REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME) ) def subscription_message(self, subscriber_id, subscriber_event_message_text): if self.is_subscriber(subscriber_event_message_text): outcome = self.subscriber.process(user_id=subscriber_id) return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text=self.subscription_message_text(subscriber_event_outcome=outcome)) elif self.is_unsubscriber(subscriber_event_message_text): outcome = self.unsubscriber.process(user_id=subscriber_id) return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text=self.subscription_message_text(subscriber_event_outcome=outcome)) else: return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text="Type 'Subscribe' or 'Unsubscribe'.") def is_subscriber(self, subscriber_event_message_text): return subscriber_event_message_text.lower() == "subscribe" def is_unsubscriber(self, subscriber_event_message_text): return subscriber_event_message_text.lower() == "unsubscribe" def subscriber_event_message_text(self, subscriber_event_message): return subscriber_event_message["entry"][0]["messaging"][0]["message"]["text"] def subscriber_id(self, subscriber_event_message): return subscriber_event_message["entry"][0]["messaging"][0]["sender"]["id"] def subscription_message_text(self, subscriber_event_outcome): outcome_message = FacebookSubscriberEventProcessor.subscriber_event_outcome_messages.get(subscriber_event_outcome) if outcome_message is None: raise KeyError("Unknown outcome: {outcome}".format(outcome=subscriber_event_outcome)) return outcome_message
16,752
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11
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def _add_any_metadata(table, pandas_metadata): modified_columns = {} schema = table.schema index_columns = pandas_metadata['index_columns'] n_index_levels = len(index_columns) n_columns = len(pandas_metadata['columns']) - n_index_levels # Add time zones for i, col_meta in enumerate(pandas_metadata['columns']): raw_name = col_meta.get('field_name') if not raw_name: # deal with metadata written with arrow < 0.8 raw_name = col_meta['name'] if i >= n_columns: # index columns raw_name = index_columns[i - n_columns] if raw_name is None: raw_name = 'None' idx = schema.get_field_index(raw_name) if idx != -1: if col_meta['pandas_type'] == 'datetimetz': col = table[idx] converted = col.to_pandas() tz = col_meta['metadata']['timezone'] tz_aware_type = pa.timestamp('ns', tz=tz) with_metadata = pa.Array.from_pandas(converted.values, type=tz_aware_type) field = pa.field(schema[idx].name, tz_aware_type) modified_columns[idx] = pa.Column.from_array(field, with_metadata) if len(modified_columns) > 0: columns = [] for i in range(len(table.schema)): if i in modified_columns: columns.append(modified_columns[i]) else: columns.append(table[i]) return pa.Table.from_arrays(columns) else: return table
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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": "subscriber_id", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "subscriber_event_message_text", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "process", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscriber", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user_id", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "outcome", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SubscriptionMessage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "platform", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Call", "_fields": 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"_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscription_message_text", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "subscriber_event_outcome", "value": {"_type": "Name", "_fields": {"id": "outcome", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "subscriber_event_message_text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_unsubscriber", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SubscriptionMessage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "platform", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "subscriber_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Type 'Subscribe' or 'Unsubscribe'."}}}}]}}}}]}}]}}], "name": "subscription_message", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def subscription_message(self, subscriber_id, subscriber_event_message_text): if self.is_subscriber(subscriber_event_message_text): outcome = self.subscriber.process(user_id=subscriber_id) return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text=self.subscription_message_text(subscriber_event_outcome=outcome)) elif self.is_unsubscriber(subscriber_event_message_text): outcome = self.unsubscriber.process(user_id=subscriber_id) return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text=self.subscription_message_text(subscriber_event_outcome=outcome)) else: return SubscriptionMessage(platform=self.platform, platform_identifier=subscriber_id, text="Type 'Subscribe' or 'Unsubscribe'.")
16,754
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10
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{"_type": "Name", "_fields": {"id": "subscription_message", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "subscriber_count", "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": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Published message: {subscription_message} to {subscriber_count} subscribers on channel: {channel_name}"}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "subscription_message", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_json", "value": {"_type": "Name", "_fields": {"id": "subscription_message", "ctx": {"_type": "Load", "_fields": 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def process(self, subscriber_event_message): FacebookSubscriberEventProcessor.logger.info("Processing message: {}".format(subscriber_event_message)) subscriber_id = self.subscriber_id(subscriber_event_message) subscriber_event_message_text = self.subscriber_event_message_text(subscriber_event_message) subscription_message = self.subscription_message(subscriber_id=subscriber_id, subscriber_event_message_text=subscriber_event_message_text) subscriber_count = self.redis_client.publish(channel=REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME, message=subscription_message.to_json()) FacebookSubscriberEventProcessor.logger.info( "Published message: {subscription_message} to {subscriber_count} subscribers on channel: {channel_name}" .format(subscription_message=subscription_message.to_json(), subscriber_count=subscriber_count, channel_name=REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME) )
16,755
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8
{"_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": "user_id", "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": "get_or_create", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscriptions", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "platform", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "platform_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "platform_identifier", "value": {"_type": "Name", "_fields": {"id": "user_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "subscription", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "created", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscription_created", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Name", "_fields": {"id": "created", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "resubscribed", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unsubscribed_at", "value": {"_type": "Name", "_fields": {"id": "subscription", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "already_subscribed", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "process", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def process(self, user_id): subscription, created = self.subscriptions.get_or_create(platform=self.platform_name, platform_identifier=user_id) if created: return SubscriberEventOutcome.subscription_created if subscription.unsubscribed_at is not None: return SubscriberEventOutcome.resubscribed return SubscriberEventOutcome.already_subscribed
16,756
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9
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class Subscriber: def __init__(self, subscriptions, platform_name): self.subscriptions = subscriptions self.platform_name = platform_name def process(self, user_id): subscription, created = self.subscriptions.get_or_create(platform=self.platform_name, platform_identifier=user_id) if created: return SubscriberEventOutcome.subscription_created if subscription.unsubscribed_at is not None: return SubscriberEventOutcome.resubscribed return SubscriberEventOutcome.already_subscribed
16,757
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8
{"_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": "user_id", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscription_does_not_exist", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subscription_exists", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user_id", "value": {"_type": "Name", "_fields": {"id": "user_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "already_unsubscribed", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unsubscribed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user_id", "value": {"_type": "Name", "_fields": {"id": "user_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unsubscribe", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user_id", "value": {"_type": "Name", "_fields": {"id": "user_id", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unsubscribed", "value": {"_type": "Name", "_fields": {"id": "SubscriberEventOutcome", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "process", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def process(self, user_id): if not self.subscription_exists(user_id=user_id): return SubscriberEventOutcome.subscription_does_not_exist if self.unsubscribed(user_id=user_id): return SubscriberEventOutcome.already_unsubscribed self.unsubscribe(user_id=user_id) return SubscriberEventOutcome.unsubscribed
16,758
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11
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class Unsubscriber: def __init__(self, subscriptions, platform_name): self.subscriptions = subscriptions self.platform_name = platform_name def process(self, user_id): if not self.subscription_exists(user_id=user_id): return SubscriberEventOutcome.subscription_does_not_exist if self.unsubscribed(user_id=user_id): return SubscriberEventOutcome.already_unsubscribed self.unsubscribe(user_id=user_id) return SubscriberEventOutcome.unsubscribed def subscription_exists(self, user_id): return self.subscriptions.filter(platform=self.platform_name, platform_identifier=user_id).exists() def unsubscribed(self, user_id): return self.subscriptions.get(platform=self.platform_name, platform_identifier=user_id)\ .unsubscribed_at is not None def unsubscribe(self, user_id): subscription = self.subscriptions.get(platform=self.platform_name, platform_identifier=user_id) subscription.unsubscribed_at = datetime.datetime.now() subscription.save()
16,759
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def test_toposorted_single_before_after(): a = Info(1, None, None) b = Info(2, 1, None) c = Info(3, None, 1) infos = [a, b, c] assert toposorted(infos) == [b, a, c] a = Info(1, None, None) b = Info(2, None, 1) c = Info(3, 1, None) infos = [a, b, c] assert toposorted(infos) == [c, a, b]
16,760
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7
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def test_toposorted_multi_before_after(): a = Info(1, None, None) b = Info(2, [1], None) c = Info(3, None, [1, 2]) infos = [a, b, c] assert toposorted(infos) == [b, a, c]
16,761
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def __init__(self, r, r_min, r_max, c, r_0=0.0, s=1.0, reduced=False): n = r.shape[0] # trim negative r limits if r_max <= 0: # both func and abel must be zero everywhere self.func = np.zeros(n) self.abel = np.zeros(n) return if r_min < 0: r_min = 0 # remove zero high-order terms c = np.array(np.trim_zeros(c, 'b'), float) # if all coefficients are zero if len(c) == 0: # then both func and abel are also zero everywhere self.func = np.zeros(n) self.abel = np.zeros(n) return # polynomial degree K = len(c) - 1 if reduced: # rescale r to [0, 1] (to avoid FP overflow) r = r / r_max r_0 /= r_max s /= r_max abel_scale = r_max r_min /= r_max r_max = 1.0 if s != 1.0: # apply stretch S = np.cumprod([1.0] + [1.0 / s] * K) # powers of 1/s c *= S if r_0 != 0.0: # apply shift P = pascal(1 + K, 'upper', False) # binomial coefficients rk = np.cumprod([1.0] + [-float(r_0)] * K) # powers of -r_0 T = toeplitz([1.0] + [0.0] * K, rk) # upper-diag. (-r_0)^{l - k} c = (P * T).dot(c) # whether even and odd powers are present even = np.any(c[::2]) odd = np.any(c[1::2]) # index limits i_min = np.searchsorted(r, r_min) i_max = np.searchsorted(r, r_max) # Calculate all necessary variables within [0, r_max] # x, x^2 x = r[:i_max] x2 = x * x # integration limits y = sqrt(r^2 - x^2) or 0 def sqrt0(x): return np.sqrt(x, np.zeros_like(x), where=x > 0) y_up = sqrt0(r_max * r_max - x2) y_lo = sqrt0(r_min * r_min - x2) # y r^k |_lo^up # (actually only even are neded for "even", and only odd for "odd") Dyr = np.outer(np.cumprod([1.0] + [r_max] * K), y_up) - \ np.outer(np.cumprod([1.0] + [r_min] * K), y_lo) # ln(r + y) |_lo^up, only for odd k if odd: # ln x for x > 0, otherwise 0 def ln0(x): return np.log(x, np.zeros_like(x), where=x > 0) Dlnry = ln0(r_max + y_up) - \ ln0(np.maximum(r_min, x) + y_lo) # One-sided Abel integral \int_lo^up r^k dy. def a(k): odd_k = k % 2 # max. x power K = k - odd_k # (k - 1 for odd k) # generate coefficients for all x^m r^{k - m} terms # (only even indices are actually used; # for odd k, C[K] is also used for x^{k+1} ln(r + y)) C = [0] * (K + 1) C[0] = 1 / (k + 1) for m in range(k, 1, -2): C[k - m + 2] = C[k - m] * m / (m - 1) # sum all terms using Horner's method in x a = C[K] * Dyr[k - K] if odd_k: a += C[K] * x2 * Dlnry for m in range(K - 2, -1, -2): a = a * x2 + C[m] * Dyr[k - m] return a # Generate the polynomial function func = np.zeros(n) span = slice(i_min, i_max) # (using Horner's method) func[span] = c[K] for k in range(K - 1, -1, -1): func[span] = func[span] * x[span] + c[k] self.func = func # Generate its Abel transform abel = np.zeros(n) span = slice(0, i_max) if reduced: c *= abel_scale for k in range(K + 1): if c[k]: abel[span] += c[k] * 2 * a(k) self.abel = abel
16,762
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10
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def a(k): odd_k = k % 2 # max. x power K = k - odd_k # (k - 1 for odd k) # generate coefficients for all x^m r^{k - m} terms # (only even indices are actually used; # for odd k, C[K] is also used for x^{k+1} ln(r + y)) C = [0] * (K + 1) C[0] = 1 / (k + 1) for m in range(k, 1, -2): C[k - m + 2] = C[k - m] * m / (m - 1) # sum all terms using Horner's method in x a = C[K] * Dyr[k - K] if odd_k: a += C[K] * x2 * Dlnry for m in range(K - 2, -1, -2): a = a * x2 + C[m] * Dyr[k - m] return a
16,763
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9
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def __init__(self, r, ranges): self.p = [] for rng in ranges: self.p.append(Polynomial(r, *rng)) func = self.p[0].func for p in self.p[1:]: func += p.func self.func = func abel = self.p[0].abel for p in self.p[1:]: abel += p.abel self.abel = abel
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class LookupModule(LookupBase): def _check_list_of_one_list(self, term): # make sure term is not a list of one (list of one..) item # return the final non list item if so if isinstance(term,list) and len(term) == 1: term = term[0] if isinstance(term,list): term = self._check_list_of_one_list(term) return term def _do_flatten(self, terms, variables): ret = [] for term in terms: term = self._check_list_of_one_list(term) if term == 'None' or term == 'null': # ignore undefined items break if isinstance(term, basestring): # convert a variable to a list term2 = listify_lookup_plugin_terms(term, variables, loader=self._loader) # but avoid converting a plain string to a list of one string if term2 != [ term ]: term = term2 if isinstance(term, list): # if it's a list, check recursively for items that are a list term = self._do_flatten(term, variables) ret.extend(term) else: ret.append(term) return ret def run(self, terms, variables, **kwargs): if not isinstance(terms, list): raise AnsibleError("with_flattened expects a list") return self._do_flatten(terms, variables)
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9
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def _check_list_of_one_list(self, term): # make sure term is not a list of one (list of one..) item # return the final non list item if so if isinstance(term,list) and len(term) == 1: term = term[0] if isinstance(term,list): term = self._check_list_of_one_list(term) return term
16,766
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10
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{"args": [{"_type": "Name", "_fields": {"id": "term", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "variables", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_do_flatten", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "term", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "term", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "ret", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "term", "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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "term", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ret", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "Name", "_fields": {"id": "terms", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "term", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ret", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_do_flatten", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _do_flatten(self, terms, variables): ret = [] for term in terms: term = self._check_list_of_one_list(term) if term == 'None' or term == 'null': # ignore undefined items break if isinstance(term, basestring): # convert a variable to a list term2 = listify_lookup_plugin_terms(term, variables, loader=self._loader) # but avoid converting a plain string to a list of one string if term2 != [ term ]: term = term2 if isinstance(term, list): # if it's a list, check recursively for items that are a list term = self._do_flatten(term, variables) ret.extend(term) else: ret.append(term) return ret
16,767
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def FormatJUnitXML(self): num_errors = len(self._junit_errors) num_failures = len(self._junit_failures) testsuite = xml.etree.ElementTree.Element('testsuite') testsuite.attrib['errors'] = str(num_errors) testsuite.attrib['failures'] = str(num_failures) testsuite.attrib['name'] = 'cpplint' if num_errors == 0 and num_failures == 0: testsuite.attrib['tests'] = str(1) xml.etree.ElementTree.SubElement(testsuite, 'testcase', name='passed') else: testsuite.attrib['tests'] = str(num_errors + num_failures) if num_errors > 0: testcase = xml.etree.ElementTree.SubElement(testsuite, 'testcase') testcase.attrib['name'] = 'errors' error = xml.etree.ElementTree.SubElement(testcase, 'error') error.text = '\n'.join(self._junit_errors) if num_failures > 0: # Group failures by file failed_file_order = [] failures_by_file = {} for failure in self._junit_failures: failed_file = failure[0] if failed_file not in failed_file_order: failed_file_order.append(failed_file) failures_by_file[failed_file] = [] failures_by_file[failed_file].append(failure) # Create a testcase for each file for failed_file in failed_file_order: failures = failures_by_file[failed_file] testcase = xml.etree.ElementTree.SubElement(testsuite, 'testcase') testcase.attrib['name'] = failed_file failure = xml.etree.ElementTree.SubElement(testcase, 'failure') template = '{0}: {1} [{2}] [{3}]' texts = [template.format(f[1], f[2], f[3], f[4]) for f in failures] failure.text = '\n'.join(texts) xml_decl = '<?xml version="1.0" encoding="UTF-8" ?>\n' return xml_decl + xml.etree.ElementTree.tostring(testsuite, 'utf-8').decode('utf-8')
16,768
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10
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def ProcessExtensionsOption(val): global _valid_extensions try: extensions = [ext.strip() for ext in val.split(',')] _valid_extensions = set(extensions) except ValueError: PrintUsage('Extensions should be a comma-separated list of values;' 'for example: extensions=hpp,cpp\n' 'This could not be parsed: "%s"' % (val,))
16,769
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"Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stderr", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "_root_debug", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "maybe_path", "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": []}}}}], "test": {"_type": "Name", "_fields": {"id": "maybe_path", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_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": "_root ignore, returning %s\n"}}, "right": {"_type": "Name", "_fields": {"id": "file_path_from_root", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stderr", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "_root_debug", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "file_path_from_root", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "FixupPathFromRoot", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def FixupPathFromRoot(): if _root_debug: sys.stderr.write("\n_root fixup, _root = '%s', repository name = '%s'\n" % (_root, fileinfo.RepositoryName())) # Process the file path with the --root flag if it was set. if not _root: if _root_debug: sys.stderr.write("_root unspecified\n") return file_path_from_root def StripListPrefix(lst, prefix): # f(['x', 'y'], ['w, z']) -> None (not a valid prefix) if lst[:len(prefix)] != prefix: return None # f(['a, 'b', 'c', 'd'], ['a', 'b']) -> ['c', 'd'] return lst[(len(prefix)):] # root behavior: # --root=subdir , lstrips subdir from the header guard maybe_path = StripListPrefix(PathSplitToList(file_path_from_root), PathSplitToList(_root)) if _root_debug: sys.stderr.write(("_root lstrip (maybe_path=%s, file_path_from_root=%s," + " _root=%s)\n") % (maybe_path, file_path_from_root, _root)) if maybe_path: return os.path.join(*maybe_path) # --root=.. , will prepend the outer directory to the header guard full_path = fileinfo.FullName() root_abspath = os.path.abspath(_root) maybe_path = StripListPrefix(PathSplitToList(full_path), PathSplitToList(root_abspath)) if _root_debug: sys.stderr.write(("_root prepend (maybe_path=%s, full_path=%s, " + "root_abspath=%s)\n") % (maybe_path, full_path, root_abspath)) if maybe_path: return os.path.join(*maybe_path) if _root_debug: sys.stderr.write("_root ignore, returning %s\n" % (file_path_from_root)) # --root=FAKE_DIR is ignored return file_path_from_root
16,770
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10
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def __init__(self, lines): self.elided = [] self.lines = [] self.raw_lines = lines self.num_lines = len(lines) self.lines_without_raw_strings = CleanseRawStrings(lines) for linenum in range(len(self.lines_without_raw_strings)): self.lines.append(CleanseComments( self.lines_without_raw_strings[linenum])) elided = self._CollapseStrings(self.lines_without_raw_strings[linenum]) self.elided.append(CleanseComments(elided))
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "clean_lines", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "linenum", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "^#define"}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "linenum", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "clean_lines", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Search", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "linenum", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\\\\$"}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "linenum", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "clean_lines", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Search", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "IsMacroDefinition", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def IsMacroDefinition(clean_lines, linenum): if Search(r'^#define', clean_lines[linenum]): return True if linenum > 0 and Search(r'\\$', clean_lines[linenum - 1]): return True return False
16,772
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"AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "{"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "count", "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "}"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "count", "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "depth", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "last_line", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "depth", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "linenum", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumLines", "value": {"_type": "Name", "_fields": {"id": "clean_lines", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, name, class_or_struct, clean_lines, linenum): _BlockInfo.__init__(self, linenum, False) self.name = name self.is_derived = False self.check_namespace_indentation = True if class_or_struct == 'struct': self.access = 'public' self.is_struct = True else: self.access = 'private' self.is_struct = False # Remember initial indentation level for this class. Using raw_lines here # instead of elided to account for leading comments. self.class_indent = GetIndentLevel(clean_lines.raw_lines[linenum]) # Try to find the end of the class. This will be confused by things like: # class A { # } *x = { ... # # But it's still good enough for CheckSectionSpacing. self.last_line = 0 depth = 0 for i in range(linenum, clean_lines.NumLines()): line = clean_lines.elided[i] depth += line.count('{') - line.count('}') if not depth: self.last_line = i break
16,773
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9
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def CheckForNamespaceIndentation(filename, nesting_state, clean_lines, line, error): is_namespace_indent_item = ( len(nesting_state.stack) > 1 and nesting_state.stack[-1].check_namespace_indentation and isinstance(nesting_state.previous_stack_top, _NamespaceInfo) and nesting_state.previous_stack_top == nesting_state.stack[-2]) if ShouldCheckNamespaceIndentation(nesting_state, is_namespace_indent_item, clean_lines.elided, line): CheckItemIndentationInNamespace(filename, clean_lines.elided, line, error)
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def CheckEnd(self, filename, clean_lines, linenum, error): # If there is a DISALLOW macro, it should appear near the end of # the class. seen_last_thing_in_class = False for i in xrange(linenum - 1, self.starting_linenum, -1): match = Search( r'\b(DISALLOW_COPY_AND_ASSIGN|DISALLOW_IMPLICIT_CONSTRUCTORS)\(' + self.name + r'\)', clean_lines.elided[i]) if match: if seen_last_thing_in_class: error(filename, i, 'readability/constructors', 3, match.group(1) + ' should be the last thing in the class') break if not Match(r'^\s*$', clean_lines.elided[i]): seen_last_thing_in_class = True # Check that closing brace is aligned with beginning of the class. # Only do this if the closing brace is indented by only whitespaces. # This means we will not check single-line class definitions. indent = Match(r'^( *)\}', clean_lines.elided[linenum]) if indent and len(indent.group(1)) != self.class_indent: if self.is_struct: parent = 'struct ' + self.name else: parent = 'class ' + self.name error(filename, linenum, 'whitespace/indent', 3, 'Closing brace should be aligned with beginning of %s' % parent)
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10
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def main(): filenames = ParseArguments(sys.argv[1:]) backup_err = sys.stderr try: # Change stderr to write with replacement characters so we don't die # if we try to print something containing non-ASCII characters. sys.stderr = codecs.StreamReader(sys.stderr, 'replace') _cpplint_state.ResetErrorCounts() for filename in filenames: ProcessFile(filename, _cpplint_state.verbose_level) # If --quiet is passed, suppress printing error count unless there are errors. if not _cpplint_state.quiet or _cpplint_state.error_count > 0: _cpplint_state.PrintErrorCounts() if _cpplint_state.output_format == 'junit': sys.stderr.write(_cpplint_state.FormatJUnitXML()) finally: sys.stderr = backup_err sys.exit(_cpplint_state.error_count > 0)
16,776
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "GET"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/ws.v1/control-cluster/node"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Unable to determine NSX version. Plugin might not work as expected."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "LOG", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_version", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_version", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_version", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "get_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_version(self): if not self._version: # Determine the controller version by querying the # cluster nodes. Currently, the version will be the # one of the server that responds. self.request('GET', '/ws.v1/control-cluster/node') if not self._version: LOG.error(_('Unable to determine NSX version. ' 'Plugin might not work as expected.')) return self._version
16,777
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10
{"_type": "Module", "_fields": {"body": [{"_type": "AsyncFunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Await", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_thermostats", "value": {"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "session_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "async_add_executor_job", "value": {"_type": "Name", "_fields": {"id": "hass", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "thermostats", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Error communicating with Schluter API: "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "UpdateFailed", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": {"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "err", "type": {"_type": "Name", "_fields": {"id": "RequestException", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "thermostats", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "DictComp", "_fields": {"key": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "serial_number", "value": {"_type": "Name", "_fields": {"id": "thermo", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "thermo", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "thermostats", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "thermo", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}}}], "name": "async_update_data", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
async def async_update_data(): try: thermostats = await hass.async_add_executor_job( api.get_thermostats, session_id ) except RequestException as err: raise UpdateFailed(f"Error communicating with Schluter API: {err}") from err if thermostats is None: return {} return {thermo.serial_number: thermo for thermo in thermostats}
16,778
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9
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def backupwithlockheld(repo, revs, connect_opts=None, force=False): remotepath = ccutil.getremotepath(repo.ui) getconnection = lambda: repo.connectionpool.get(remotepath, connect_opts) with repo.lock(): # Load the backup state under the repo lock to ensure a consistent view. state = backupstate.BackupState(repo, remotepath, resetlocalstate=force) return _backup( repo, state, remotepath, getconnection, revs, )
16,779
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def setUpClass(cls): super(ServerNotificationTest, cls).setUpClass() cur_dir = os.path.dirname(__file__) # tacker/tests/etc... # /functional/sol_v2 image_dir = os.path.join( cur_dir, "../../etc/samples/etsi/nfv/common/Files/images") image_file = "cirros-0.5.2-x86_64-disk.img" image_path = os.path.abspath(os.path.join(image_dir, image_file)) # for basic lcms tests max pattern basic_lcms_max_path = os.path.join(cur_dir, "../sol_v2_common/" "samples/basic_lcms_max") cls.vnf_pkg_1, cls.vnfd_id_1 = cls.create_vnf_package( basic_lcms_max_path, image_path=image_path) # for basic lcms tests min pattern basic_lcms_min_path = os.path.join(cur_dir, "../sol_v2_common/" "samples/basic_lcms_min") # no image contained cls.vnf_pkg_2, cls.vnfd_id_2 = cls.create_vnf_package( basic_lcms_min_path) # for update vnf test update_vnf_path = os.path.join(cur_dir, "../sol_v2_common/" "samples/update_vnf") # no image contained cls.vnf_pkg_3, cls.vnfd_id_3 = cls.create_vnf_package(update_vnf_path) # for server_notification test server_notification_path = os.path.join( cur_dir, "../sol_v2_common/samples/server_notification") # no image contained cls.svn_pkg, cls.svn_id = cls.create_vnf_package( server_notification_path)
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10
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def check_svm_model_equal(dense_svm, sparse_svm, X_train, y_train, X_test): dense_svm.fit(X_train.toarray(), y_train) if sparse.isspmatrix(X_test): X_test_dense = X_test.toarray() else: X_test_dense = X_test sparse_svm.fit(X_train, y_train) assert_true(sparse.issparse(sparse_svm.support_vectors_)) assert_true(sparse.issparse(sparse_svm.dual_coef_)) assert_array_almost_equal(dense_svm.support_vectors_, sparse_svm.support_vectors_.toarray()) assert_array_almost_equal(dense_svm.dual_coef_, sparse_svm.dual_coef_.toarray()) if dense_svm.kernel == "linear": assert_true(sparse.issparse(sparse_svm.coef_)) assert_array_almost_equal(dense_svm.coef_, sparse_svm.coef_.toarray()) assert_array_almost_equal(dense_svm.support_, sparse_svm.support_) assert_array_almost_equal(dense_svm.predict(X_test_dense), sparse_svm.predict(X_test)) assert_array_almost_equal(dense_svm.decision_function(X_test_dense), sparse_svm.decision_function(X_test)) assert_array_almost_equal(dense_svm.decision_function(X_test_dense), sparse_svm.decision_function(X_test_dense)) if isinstance(dense_svm, svm.OneClassSVM): msg = "cannot use sparse input in 'OneClassSVM' trained on dense data" else: assert_array_almost_equal(dense_svm.predict_proba(X_test_dense), sparse_svm.predict_proba(X_test), 4) msg = "cannot use sparse input in 'SVC' trained on dense data" if sparse.isspmatrix(X_test): assert_raise_message(ValueError, msg, dense_svm.predict, X_test)
16,781
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def test_unsorted_indices(): # test that the result with sorted and unsorted indices in csr is the same # we use a subset of digits as iris, blobs or make_classification didn't # show the problem digits = load_digits() X, y = digits.data[:50], digits.target[:50] X_test = sparse.csr_matrix(digits.data[50:100]) X_sparse = sparse.csr_matrix(X) coef_dense = svm.SVC(kernel='linear', probability=True, random_state=0).fit(X, y).coef_ sparse_svc = svm.SVC(kernel='linear', probability=True, random_state=0).fit(X_sparse, y) coef_sorted = sparse_svc.coef_ # make sure dense and sparse SVM give the same result assert_array_almost_equal(coef_dense, coef_sorted.toarray()) X_sparse_unsorted = X_sparse[np.arange(X.shape[0])] X_test_unsorted = X_test[np.arange(X_test.shape[0])] # make sure we scramble the indices assert_false(X_sparse_unsorted.has_sorted_indices) assert_false(X_test_unsorted.has_sorted_indices) unsorted_svc = svm.SVC(kernel='linear', probability=True, random_state=0).fit(X_sparse_unsorted, y) coef_unsorted = unsorted_svc.coef_ # make sure unsorted indices give same result assert_array_almost_equal(coef_unsorted.toarray(), coef_sorted.toarray()) assert_array_almost_equal(sparse_svc.predict_proba(X_test_unsorted), sparse_svc.predict_proba(X_test))
16,782
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11
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def test_svc_iris(): # Test the sparse SVC with the iris dataset for k in ('linear', 'poly', 'rbf'): sp_clf = svm.SVC(kernel=k).fit(iris.data, iris.target) clf = svm.SVC(kernel=k).fit(iris.data.toarray(), iris.target) assert_array_almost_equal(clf.support_vectors_, sp_clf.support_vectors_.toarray()) assert_array_almost_equal(clf.dual_coef_, sp_clf.dual_coef_.toarray()) assert_array_almost_equal( clf.predict(iris.data.toarray()), sp_clf.predict(iris.data)) if k == 'linear': assert_array_almost_equal(clf.coef_, sp_clf.coef_.toarray())
16,783
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def test_error(): # Test that it gives proper exception on deficient input # impossible value of C assert_raises(ValueError, svm.SVC(C=-1).fit, X, Y) # impossible value of nu clf = svm.NuSVC(nu=0.0) assert_raises(ValueError, clf.fit, X_sp, Y) Y2 = Y[:-1] # wrong dimensions for labels assert_raises(ValueError, clf.fit, X_sp, Y2) clf = svm.SVC() clf.fit(X_sp, Y) assert_array_equal(clf.predict(T), true_result)
16,784
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14
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def test_sparse_decision_function(): #Test decision_function #Sanity check, test that decision_function implemented in python #returns the same as the one in libsvm # multi class: svc = svm.SVC(kernel='linear', C=0.1, decision_function_shape='ovo') clf = svc.fit(iris.data, iris.target) dec = safe_sparse_dot(iris.data, clf.coef_.T) + clf.intercept_ assert_array_almost_equal(dec, clf.decision_function(iris.data)) # binary: clf.fit(X, Y) dec = np.dot(X, clf.coef_.T) + clf.intercept_ prediction = clf.predict(X) assert_array_almost_equal(dec.ravel(), clf.decision_function(X)) assert_array_almost_equal( prediction, clf.classes_[(clf.decision_function(X) > 0).astype(np.int).ravel()]) expected = np.array([-1., -0.66, -1., 0.66, 1., 1.]) assert_array_almost_equal(clf.decision_function(X), expected, 2)
16,785
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10
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def test_linearsvc_iris(): # Test the sparse LinearSVC with the iris dataset sp_clf = svm.LinearSVC(random_state=0).fit(iris.data, iris.target) clf = svm.LinearSVC(random_state=0).fit(iris.data.toarray(), iris.target) assert_equal(clf.fit_intercept, sp_clf.fit_intercept) assert_array_almost_equal(clf.coef_, sp_clf.coef_, decimal=1) assert_array_almost_equal(clf.intercept_, sp_clf.intercept_, decimal=1) assert_array_almost_equal( clf.predict(iris.data.toarray()), sp_clf.predict(iris.data)) # check decision_function pred = np.argmax(sp_clf.decision_function(iris.data), 1) assert_array_almost_equal(pred, clf.predict(iris.data.toarray())) # sparsify the coefficients on both models and check that they still # produce the same results clf.sparsify() assert_array_equal(pred, clf.predict(iris.data)) sp_clf.sparsify() assert_array_equal(pred, sp_clf.predict(iris.data))
16,786
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{"id": "Y2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit", "value": {"_type": "Name", "_fields": {"id": "clf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X2_sp", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Y2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit", "value": {"_type": "Name", "_fields": {"id": "sp_clf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "coef_", "value": {"_type": "Name", "_fields": {"id": "clf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "coef_", "value": {"_type": "Name", "_fields": {"id": "sp_clf", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "decimal", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "intercept_", "value": {"_type": "Name", "_fields": {"id": "clf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "intercept_", "value": {"_type": "Name", "_fields": {"id": "sp_clf", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "decimal", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}]}}}}], "name": "test_linearsvc", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_linearsvc(): # Similar to test_SVC clf = svm.LinearSVC(random_state=0).fit(X, Y) sp_clf = svm.LinearSVC(random_state=0).fit(X_sp, Y) assert_true(sp_clf.fit_intercept) assert_array_almost_equal(clf.coef_, sp_clf.coef_, decimal=4) assert_array_almost_equal(clf.intercept_, sp_clf.intercept_, decimal=4) assert_array_almost_equal(clf.predict(X), sp_clf.predict(X_sp)) clf.fit(X2, Y2) sp_clf.fit(X2_sp, Y2) assert_array_almost_equal(clf.coef_, sp_clf.coef_, decimal=4) assert_array_almost_equal(clf.intercept_, sp_clf.intercept_, decimal=4)
16,787
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11
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def test_weight(): # Test class weights X_, y_ = make_classification(n_samples=200, n_features=100, weights=[0.833, 0.167], random_state=0) X_ = sparse.csr_matrix(X_) for clf in (linear_model.LogisticRegression(), svm.LinearSVC(random_state=0), svm.SVC()): clf.set_params(class_weight={0: 5}) clf.fit(X_[:180], y_[:180]) y_pred = clf.predict(X_[180:]) assert_true(np.sum(y_pred == y_[180:]) >= 11)
16,788
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def test_sample_weights(): # Test weights on individual samples clf = svm.SVC() clf.fit(X_sp, Y) assert_array_equal(clf.predict([X[2]]), [1.]) sample_weight = [.1] * 3 + [10] * 3 clf.fit(X_sp, Y, sample_weight=sample_weight) assert_array_equal(clf.predict([X[2]]), [2.])
16,789
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10
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def test_sparse_svc_clone_with_callable_kernel(): # Test that the "dense_fit" is called even though we use sparse input # meaning that everything works fine. a = svm.SVC(C=1, kernel=lambda x, y: x * y.T, probability=True, random_state=0) b = base.clone(a) b.fit(X_sp, Y) pred = b.predict(X_sp) b.predict_proba(X_sp) dense_svm = svm.SVC(C=1, kernel=lambda x, y: np.dot(x, y.T), probability=True, random_state=0) pred_dense = dense_svm.fit(X, Y).predict(X) assert_array_equal(pred_dense, pred)
16,790
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def test_sparse_realdata(): # Test on a subset from the 20newsgroups dataset. # This catches some bugs if input is not correctly converted into # sparse format or weights are not correctly initialized. data = np.array([0.03771744, 0.1003567, 0.01174647, 0.027069]) indices = np.array([6, 5, 35, 31]) indptr = np.array( [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4]) X = sparse.csr_matrix((data, indices, indptr)) y = np.array( [1., 0., 2., 2., 1., 1., 1., 2., 2., 0., 1., 2., 2., 0., 2., 0., 3., 0., 3., 0., 1., 1., 3., 2., 3., 2., 0., 3., 1., 0., 2., 1., 2., 0., 1., 0., 2., 3., 1., 3., 0., 1., 0., 0., 2., 0., 1., 2., 2., 2., 3., 2., 0., 3., 2., 1., 2., 3., 2., 2., 0., 1., 0., 1., 2., 3., 0., 0., 2., 2., 1., 3., 1., 1., 0., 1., 2., 1., 1., 3.]) clf = svm.SVC(kernel='linear').fit(X.toarray(), y) sp_clf = svm.SVC(kernel='linear').fit(sparse.coo_matrix(X), y) assert_array_equal(clf.support_vectors_, sp_clf.support_vectors_.toarray()) assert_array_equal(clf.dual_coef_, sp_clf.dual_coef_.toarray())
16,791
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def __init__(self, poke_interval: float = 60, timeout: float = 60 * 60 * 24 * 7, soft_fail: bool = False, mode: str = 'poke', exponential_backoff: bool = False, *args, **kwargs) -> None: super().__init__(*args, **kwargs) self.poke_interval = poke_interval self.soft_fail = soft_fail self.timeout = timeout self.mode = mode self.exponential_backoff = exponential_backoff self._validate_input_values()
16,792
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10
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def test_consistent_proba(): a = svm.SVC(probability=True, max_iter=1, random_state=0) with ignore_warnings(category=ConvergenceWarning): proba_1 = a.fit(X, Y).predict_proba(X) a = svm.SVC(probability=True, max_iter=1, random_state=0) with ignore_warnings(category=ConvergenceWarning): proba_2 = a.fit(X, Y).predict_proba(X) assert_array_almost_equal(proba_1, proba_2)
16,793
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "The poke_interval must be a non-negative number"}}], "func": {"_type": "Name", "_fields": {"id": "AirflowException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "poke_interval", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "poke_interval", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "The timeout must be a non-negative number"}}], "func": {"_type": "Name", "_fields": {"id": "AirflowException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeout", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeout", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "The mode must be one of {valid_modes},'{d}.{t}'; received '{m}'."}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "valid_modes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "valid_modes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "d", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dag_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dag", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dag", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}}}, {"_type": "keyword", "_fields": {"arg": "t", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "task_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "m", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mode", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "AirflowException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mode", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "valid_modes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "name": "_validate_input_values", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _validate_input_values(self) -> None: if not isinstance(self.poke_interval, (int, float)) or self.poke_interval < 0: raise AirflowException( "The poke_interval must be a non-negative number") if not isinstance(self.timeout, (int, float)) or self.timeout < 0: raise AirflowException( "The timeout must be a non-negative number") if self.mode not in self.valid_modes: raise AirflowException( "The mode must be one of {valid_modes}," "'{d}.{t}'; received '{m}'." .format(valid_modes=self.valid_modes, d=self.dag.dag_id if self.dag else "", t=self.task_id, m=self.mode))
16,794
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def execute(self, context: Dict) -> None: started_at = timezone.utcnow() try_number = 1 if self.reschedule: # If reschedule, use first start date of current try task_reschedules = TaskReschedule.find_for_task_instance(context['ti']) if task_reschedules: started_at = task_reschedules[0].start_date try_number = len(task_reschedules) + 1 while not self.poke(context): if (timezone.utcnow() - started_at).total_seconds() > self.timeout: # If sensor is in soft fail mode but will be retried then # give it a chance and fail with timeout. # This gives the ability to set up non-blocking AND soft-fail sensors. if self.soft_fail and not context['ti'].is_eligible_to_retry(): self._do_skip_downstream_tasks(context) raise AirflowSkipException('Snap. Time is OUT.') else: raise AirflowSensorTimeout('Snap. Time is OUT.') if self.reschedule: reschedule_date = timezone.utcnow() + timedelta( seconds=self._get_next_poke_interval(started_at, try_number)) raise AirflowRescheduleException(reschedule_date) else: sleep(self._get_next_poke_interval(started_at, try_number)) try_number += 1 self.log.info("Success criteria met. Exiting.")
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11
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def test_full_output_false(reset_randomstate): # newton needs f, score, start, fargs, kwargs # bfgs needs f, score start, fargs, kwargs # nm needs "" # cg "" # ncg "" # powell "" for method in fit_funcs: func = fit_funcs[method] if method == "newton": xopt, retvals = func( dummy_func, dummy_score, [1], (), {}, hess=dummy_hess, full_output=False, disp=0, ) else: xopt, retvals = func( dummy_func, dummy_score, [1], (), {}, full_output=False, disp=0 ) assert_(retvals is None) if method == "powell" and SP_LT_15: # Fixed in SP 1.5 assert_(xopt.shape == () and xopt.size == 1) else: assert_(len(xopt) == 1)
16,796
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11
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def test_full_output(reset_randomstate): for method in fit_funcs: func = fit_funcs[method] if method == "newton": xopt, retvals = func( dummy_func, dummy_score, [1], (), {}, hess=dummy_hess, full_output=True, disp=0, ) else: xopt, retvals = func( dummy_func, dummy_score, [1], (), {}, full_output=True, disp=0 ) assert_(retvals is not None) assert_("converged" in retvals) if method == "powell" and SP_LT_15: # Fixed in SP 1.5 assert_(xopt.shape == () and xopt.size == 1) else: assert_(len(xopt) == 1)
16,797
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9
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def __init__(self, path, mode): if 'r' in mode and zipfile.is_zipfile(path): zip_file = zipfile.ZipFile(path, "r") self._file = zip_file.open(zip_file.filelist[0], "r") else: self._file = open(path, mode) self.seq_already_write = False
16,798
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8
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def test_minimize_scipy_slsqp(): func = fit_funcs["minimize"] xopt, _ = func( dummy_bounds_constraint_func, None, (2, 0), (), { "min_method": "SLSQP", "bounds": dummy_bounds(), "constraints": dummy_constraints(), }, hess=None, full_output=False, disp=0, ) assert_almost_equal(xopt, [1.4, 1.7], 4)
16,799
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{"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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "remove_fixed_ip"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "address"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": 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[{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "jsonutils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/json"}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "content-type"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "app", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_response", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 400}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_int", "value": {"_type": "Name", "_fields": {"id": "resp", "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_remove_fixed_ip_invalid_address", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "_remove_fixed_ip", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "remove_fixed_ip"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "address"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "10.10.10.1"}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/servers/%s/action"}}, "right": {"_type": "Name", "_fields": {"id": "UUID", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Request", "value": {"_type": "Name", "_fields": {"id": "webob", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "jsonutils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/json"}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "content-type"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "app", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_response", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 400}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_int", "value": {"_type": "Name", "_fields": {"id": "resp", "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_remove_fixed_ip_not_found", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "API", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "api", "value": {"_type": "Name", "_fields": {"id": "compute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "remove_fixed_ip"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "side_effect", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FixedIpNotFoundForSpecificInstance", "value": {"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "instance_uuid", "value": {"_type": "Name", "_fields": {"id": "UUID", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "ip", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "10.10.10.1"}}}}]}}}}]}}]}}], "name": "FixedIpTestV21", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NoDBTestCase", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class FixedIpTestV21(test.NoDBTestCase): def setUp(self): super(FixedIpTestV21, self).setUp() fakes.stub_out_networking(self.stubs) fakes.stub_out_rate_limiting(self.stubs) self.stubs.Set(compute.api.API, "add_fixed_ip", compute_api_add_fixed_ip) self.stubs.Set(compute.api.API, "remove_fixed_ip", compute_api_remove_fixed_ip) self.stubs.Set(compute.api.API, 'get', compute_api_get) self.app = self._get_app() def _get_app(self): return fakes.wsgi_app_v21(init_only=('servers', 'os-multinic')) def _get_url(self): return '/v2/fake' def test_add_fixed_ip(self): global last_add_fixed_ip last_add_fixed_ip = (None, None) body = dict(addFixedIp=dict(networkId='test_net')) req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(resp.status_int, 202) self.assertEqual(last_add_fixed_ip, (UUID, 'test_net')) def _test_add_fixed_ip_bad_request(self, body): req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(400, resp.status_int) def test_add_fixed_ip_empty_network_id(self): body = {'addFixedIp': {'network_id': ''}} self._test_add_fixed_ip_bad_request(body) def test_add_fixed_ip_network_id_bigger_than_36(self): body = {'addFixedIp': {'network_id': 'a' * 37}} self._test_add_fixed_ip_bad_request(body) def test_add_fixed_ip_no_network(self): global last_add_fixed_ip last_add_fixed_ip = (None, None) body = dict(addFixedIp=dict()) req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(resp.status_int, 400) self.assertEqual(last_add_fixed_ip, (None, None)) @mock.patch.object(compute.api.API, 'add_fixed_ip') def test_add_fixed_ip_no_more_ips_available(self, mock_add_fixed_ip): mock_add_fixed_ip.side_effect = exception.NoMoreFixedIps(net='netid') body = dict(addFixedIp=dict(networkId='test_net')) req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(resp.status_int, 400) def test_remove_fixed_ip(self): global last_remove_fixed_ip last_remove_fixed_ip = (None, None) body = dict(removeFixedIp=dict(address='10.10.10.1')) req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(resp.status_int, 202) self.assertEqual(last_remove_fixed_ip, (UUID, '10.10.10.1')) def test_remove_fixed_ip_no_address(self): global last_remove_fixed_ip last_remove_fixed_ip = (None, None) body = dict(removeFixedIp=dict()) req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(resp.status_int, 400) self.assertEqual(last_remove_fixed_ip, (None, None)) def test_remove_fixed_ip_invalid_address(self): body = {'remove_fixed_ip': {'address': ''}} req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(400, resp.status_int) @mock.patch.object(compute.api.API, 'remove_fixed_ip', side_effect=exception.FixedIpNotFoundForSpecificInstance( instance_uuid=UUID, ip='10.10.10.1')) def test_remove_fixed_ip_not_found(self, _remove_fixed_ip): body = {'remove_fixed_ip': {'address': '10.10.10.1'}} req = webob.Request.blank( self._get_url() + '/servers/%s/action' % UUID) req.method = 'POST' req.body = jsonutils.dumps(body) req.headers['content-type'] = 'application/json' resp = req.get_response(self.app) self.assertEqual(400, resp.status_int)
16,800
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8
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def setUp(self): super(FixedIpTestV21, self).setUp() fakes.stub_out_networking(self.stubs) fakes.stub_out_rate_limiting(self.stubs) self.stubs.Set(compute.api.API, "add_fixed_ip", compute_api_add_fixed_ip) self.stubs.Set(compute.api.API, "remove_fixed_ip", compute_api_remove_fixed_ip) self.stubs.Set(compute.api.API, 'get', compute_api_get) self.app = self._get_app()