W15 Bielsko Biala stats & predictions

What is the significance of Tennis W15 Bielsko-Biała?

Tennis W15 Bielsko-Biała is significant as it provides emerging players with a platform to showcase their talents against international competitors. It also serves as an important stepping stone towards higher-tier tournaments like those on the WTA Tour.

How can I access expert betting predictions?

You can access expert betting predictions through various online platforms that specialize in sports analysis. Many websites offer detailed insights into player performances and match dynamics specifically tailored for tennis tournaments like Tennis W15 Bielsko-Biała.

Are there any notable players participating this year?

# Copyright 2018 Amazon.com Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License Version 2.0 (the "License"). You may not # use this file except in compliance with the License. A copy of the License is # located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. # This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR # CONDITIONS OF ANY KIND, either express or implied. See the License for the # specific language governing permissions and limitations under the License. from __future__ import absolute_import import logging import os import sys from botocore.exceptions import ClientError from samcli.lib.providers.cfn_stacks import CFNStackManager from samcli.lib.providers.provider import BaseProvider from samcli.lib.providers.sam_stacks import SamStackManager from samcli.lib.utils.packagetype import PackageType LOG = logging.getLogger(__name__) class CFNProvider(BaseProvider): """A provider that uses CloudFormation APIs directly. It works directly with CloudFormation stacks without using AWS SAM CLI CloudFormation templates. It also supports deploying Serverless Application Repository applications. The resources defined by SAM templates are not deployed. Note: This provider does not support nested stacks. If you want nested stacks deployed by this provider, define them as separate CloudFormation templates. You cannot deploy SAM templates containing nested stacks using this provider. To use this provider, define your application using only CloudFormation templates. SAM template files (template.yaml) are not supported. For example: { "AWSTemplateFormatVersion": "2010-09-09", "Transform": "AWS::Serverless-2016-10-31", "Description": "This template deploys an API Gateway endpoint backed by Lambda.", "Resources": { "HelloWorldFunction": { "Type": "AWS::Serverless::Function", "Properties": { "CodeUri": { "Bucket": "my-bucket", "Key": "hello_world.zip" }, "Handler": "hello_world.handler", "Runtime": "nodejs8.10" } }, "HelloWorldApi": { "Type": "AWS::Serverless::Api", "Properties": { "StageName": "", "DefinitionBody": { "$schema": "https://raw.githubusercontent.com/awslabs/serverless-application-model/samtranslator/schemas/2016-10-31/api.json", ... } } }, ... } } Then deploy using AWS CLI: aws cloudformation deploy --template-file template.yaml --stack-name my-stack Or using AWS SAM CLI: sam deploy --template-file template.yaml --stack-name my-stack --capabilities CAPABILITY_IAM --s3-bucket my-bucket --s3-prefix s3-prefix --region us-east-1 --use-cfn-provider For more information about CloudFormation syntax, see https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/template-anatomy.html. For more information about Serverless Application Repository syntax, see https://docs.aws.amazon.com/serverlessrepo/latest/devguide/what-is-serverless-app-repository.html. """ def __init__(self): self._stack_manager = CFNStackManager() self._sam_stack_manager = SamStackManager() # List all CFN stacks used by current project. self._cfn_stacks = self._stack_manager.list_stacks() # List all SAM stacks used by current project. # Only those SAM stacks whose parameters contain 'TemplateURL' key are included. # TemplateURL should point out a URL that points out a CloudFormation template file. self._sam_stacks = self._sam_stack_manager.list_stacks() # List all SNS topics used by current project. self._sns_topics = self._sam_stack_manager.list_sns_topics() # Dictionary contains all stacks used by current project, # including both CFN stacks & SAM stacks. # Key: stack name; Value: stack object (CFN stack or SAM stack). self._all_stacks = {**self._cfn_stacks} self._all_stacks.update(self._sam_stacks) def get_stack(self, stack_name): return self._all_stacks[stack_name] def get_cfn_stack(self, stack_name): return self._cfn_stacks[stack_name] def get_sam_stack(self, stack_name): return self._sam_stacks[stack_name] def get_sns_topic(self, topic_name): return self._sns_topics[topic_name] def list_resources_by_type(self, resource_type, filters=None, next_token=None, include_nested=True): """ Lists all resources by given resource type within all stacks managed by this provider. Args: resource_type (str): The resource type you want to query. filters (list): Optional filters applied when querying resources. Each filter has following keys: - name (str): Name key identifying what property is being filtered upon - values (list): List containing possible values that should be matched against when filtering - type (str): Type key identifying what data type value(s) are represented as Example: filters = [ { 'Name': 'ResourceType', 'Values': ['AWS::SNS::Topic'], 'Type': 'String' } ] next_token (str): Optional token returned from previous API call indicating where pagination should continue from include_nested (bool): If true then all resources including those within nested stacks will be returned, otherwise only resources within top-level stacks will be returned. Returns: list: All resources found matching given criteria str: Next token if there are more results than returned here (None if there aren't any more) """ resources = [] next_token = None # Query each stack individually so we can retrieve nested stack resources as well if include_nested: for stack in self._all_stacks.values(): resources_from_stack = stack.list_resources_by_type( resource_type=resource_type, filters=filters, next_token=next_token) resources.extend(resources_from_stack[0]) next_token = resources_from_stack[1] return resources, next_token else: return super(CFNProvider, self).list_resources_by_type( resource_type=resource_type, filters=filters, next_token=next_token) def _resolve_sam_template_url(self, template_url, parameters=None): """Resolve template url pointing out serverless application repository application""" try: return super(CFNProvider, self)._resolve_sam_template_url(template_url=template_url, parameters=parameters) except Exception as e: raise ClientError( error_response={ 'Error': { 'Code': 'InvalidSamTemplateUrl', 'Message': str(e) } }, operation_name='deploy') <|file_sep|># Copyright 2018 Amazon.com Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License Version 2.0 (the "License"). You may not # use this file except in compliance with the License. A copy of the License is # located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. # This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR # CONDITIONS OF ANY KIND, either express or implied. See the License for the # specific language governing permissions and limitations under the License. import json import logging from botocore.exceptions import ClientError from samcli.commands.package.package_context import PackageContext class PackageFile(): """Represents an input file that needs packaging""" def __init__(self, path=None, name=None, bucket=None, prefix=None, s3_key=None): def _should_ignore_file(file_path): if __name__ == "__main__": pass<|repo_name|>alexbuzadji/aws-sam-cli<|file_sep|>/tests/unit/lib/build/gradle_builder_test.py # Copyright 2018 Amazon.com Inc. or its affiliates. All Rights Reserved. # # Licensed under Apache License Version 2.0 (the "License"). # import logging import os.path from mock import patch from samcli.lib.build.gradle_builder import GradleBuilder logger