commit
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@ -54,7 +54,7 @@ deploy:
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on:
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branch:
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- master
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cleanup: false
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skip_cleanup: true
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skip_existing: true
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# - provider: pypi
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# distributions: sdist bdist_wheel
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@ -302,9 +302,7 @@ class Job(threading.Thread, BaseModel):
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self.job_id = str(uuid.uuid4())
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self.job_definition = job_def
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self.job_queue = job_queue
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self.job_state = (
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"SUBMITTED"
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) # One of SUBMITTED | PENDING | RUNNABLE | STARTING | RUNNING | SUCCEEDED | FAILED
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self.job_state = "SUBMITTED" # One of SUBMITTED | PENDING | RUNNABLE | STARTING | RUNNING | SUCCEEDED | FAILED
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self.job_queue.jobs.append(self)
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self.job_started_at = datetime.datetime(1970, 1, 1)
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self.job_stopped_at = datetime.datetime(1970, 1, 1)
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@ -177,9 +177,7 @@ class CloudFormationResponse(BaseResponse):
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start = stack_ids.index(token) + 1
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else:
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start = 0
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max_results = (
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50
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) # using this to mske testing of paginated stacks more convenient than default 1 MB
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max_results = 50 # using this to mske testing of paginated stacks more convenient than default 1 MB
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stacks_resp = stacks[start : start + max_results]
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next_token = None
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if len(stacks) > (start + max_results):
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@ -788,9 +788,7 @@ class AccountSummary(BaseModel):
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self._groups_per_user_quota = 10
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self._attached_policies_per_user_quota = 10
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self._policies_quota = 1500
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self._account_mfa_enabled = (
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0
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) # Haven't found any information being able to activate MFA for the root account programmatically
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self._account_mfa_enabled = 0 # Haven't found any information being able to activate MFA for the root account programmatically
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self._access_keys_per_user_quota = 2
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self._assume_role_policy_size_quota = 2048
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self._policy_versions_in_use_quota = 10000
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@ -88,9 +88,7 @@ class IAMPolicyDocumentValidator:
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self._policy_document = policy_document
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self._policy_json = {}
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self._statements = []
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self._resource_error = (
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""
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) # the first resource error found that does not generate a legacy parsing error
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self._resource_error = "" # the first resource error found that does not generate a legacy parsing error
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def validate(self):
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try:
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@ -1924,9 +1924,7 @@ def test_attributes():
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)
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attrs = resp["attributes"]
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NUM_CUSTOM_ATTRIBUTES = (
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4
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) # 2 specific to individual machines and 1 global, going to both machines (2 + 1*2)
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NUM_CUSTOM_ATTRIBUTES = 4 # 2 specific to individual machines and 1 global, going to both machines (2 + 1*2)
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NUM_DEFAULT_ATTRIBUTES = 4
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len(attrs).should.equal(
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NUM_CUSTOM_ATTRIBUTES + (NUM_DEFAULT_ATTRIBUTES * len(instances))
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