answer:/imagine prompt: Elegant Chinese woman in a traditional qipao, gracefully sitting on a rocking chair in a Chinese-style study, surrounded by antique calligraphy scrolls and classic literature books, with a hint of incense in the air, a porcelain tea set on a low table, gentle sunlight streaming through wooden lattice windows, exuding a sense of timeless sophistication and cultural heritage, captured with a Canon EOS R5 camera, 85mm lens, medium depth of field, composition highlighting the woman's serene expression and the intricate details of the furniture and decor. --ar 4:3 --v 5 /imagine prompt: Serene Chinese woman wearing a vibrant red cheongsam, gently rocking in a wooden chair in a tranquil study with bamboo furniture and silk embroideries, a soft breeze rustling through hanging scrolls of traditional Chinese landscape paintings, the sound of a distant guzheng playing, delicate tea leaves swirling in a porcelain cup, creating an atmosphere of elegance and harmony, captured in an ink wash painting style, emphasizing fluid lines and ethereal colors to evoke a dreamlike ambiance. --ar 16:9 --v niji /imagine prompt: A modern Chinese woman in a chic qipao, sitting on a sleek rocking chair in a contemporary Chinese-themed study with minimalist decor, abstract art on the walls and digital books on a tablet, a cup of bubble tea on a geometric side table, ambient electronic music playing softly, merging traditional elements with a futuristic touch, depicted in a neon-infused digital artwork style, with vivid colors and geometric shapes adding a dynamic and modern twist to the scene. --ar 9:16 --v 7 /imagine prompt: Stylish Chinese woman in a fusion-style qipao, swaying gently in a designer rocking chair in an avant-garde Chinese study with eclectic furniture and avant-garde art installations, a holographic tea set shimmering with colorful light, abstract projections dancing on the walls, blending traditional aesthetics with contemporary flair, captured with a smartphone camera in a high-fashion photography style, utilizing dramatic lighting and dynamic angles to showcase the intersection of culture and innovation in a visually striking composition. --ar 4:5 --v 5

answer:Привет! Конечно, помогу решить задачу на Python. Начнем с написания кода для проверки указанных условий: ```python def count_vowels(s): vowels = "aeiouAEIOU" count = 0 for char in s: if char in vowels: count += 1 return count def is_condition_one(matrix): for i in range(len(matrix)): if count_vowels(matrix[i][i]) <= len(matrix[i][i]) // 2: return False return True def count_consecutive_vowels(s): vowels = "aeiouAEIOU" count = 0 for i in range(len(s) - 1): if s[i] in vowels and s[i+1] in vowels: count += 1 return count def is_condition_two(matrix): count_columns = 0 for j in range(len(matrix[0])): count = 0 for i in range(len(matrix)): if count_consecutive_vowels(matrix[i][j]) == 3: count += 1 if count == 2: count_columns += 1 if count_columns == 2: return True return False n = int(input("Введите размер матрицы n: ")) matrix = [] for i in range(n): row = input(f"Введите строку {i+1} из {n} символов: ") matrix.append(row) if is_condition_one(matrix) and is_condition_two(matrix): print("Условия выполнены") else: print("Условия не выполнены") ``` Теперь у нас есть код, который сначала считывает ввод от пользователя, затем проверяет выполнение двух условий для введенной матрицы символьных строк. Надеюсь, это поможет вам решить задачу! Если у вас есть какие-либо вопросы или пожелания, не стесняйтесь их задавать.

answer:/imagine prompt: mature Chinese woman in traditional silk attire, adorned with intricate embroidery and delicate patterns, gracefully holding a fan with cherry blossom motif, standing in a serene bamboo forest, surrounded by lush greenery and soft sunlight filtering through the leaves, composition highlighting the woman's elegant posture and serene expression, evoking a sense of timeless grace and sophistication, rendered in a traditional Chinese ink painting style with intricate brushwork and subtle color gradients. --ar 1:1 --v 5 /imagine prompt: aged Chinese lady with silver hair styled in a bun, wearing a flowing qipao dress in rich crimson silk, holding a string of prayer beads in her wrinkled hands, standing in a traditional courtyard adorned with blooming peonies and hanging lanterns, the scent of incense lingering in the air, composition framing the lady amidst the vibrant surroundings, conveying a sense of wisdom and tranquility, captured in a photographic style with a medium format Hasselblad camera, 80mm lens, emphasizing texture and detail. --ar 9:16 --v niji /imagine prompt: Chinese mature woman practicing tai chi in a misty mountain setting, clad in loose linen clothing that flows with her movements, framed by towering ancient pine trees and cascading waterfalls, the air filled with the sound of chirping birds and rustling leaves, composition capturing the fluidity and grace of her movements against the backdrop of nature's grandeur, conveying a sense of harmony and balance, realized in a mixed media artwork combining painting and photography, blending realism with a touch of surrealism. --ar 16:9 --v niji /imagine prompt: contemplative Chinese elder woman in a garden courtyard adorned with blooming lotus flowers, her hands gently cradling a delicate porcelain teacup, wisps of steam rising from the fragrant brew, soft sunlight filtering through bamboo blinds, casting intricate patterns of light and shadow on the aged stone paving, composition framing the woman amidst the tranquil setting, conveying a sense of quiet introspection and inner peace, captured in a realistic photographic style with a DSLR camera, 24-70mm lens, medium depth of field, focusing on the woman's serene expression and the intricate details of the scene. --ar 1:1 --v 5.2

answer:Sure, let's convert the provided AWS CloudFormation template into Terraform. Below is the corresponding Terraform configuration using the HashiCorp configuration language (HCL). Note that the conversion is a guide and may require fine-tuning to accommodate your complete setup and Terraform version: ```hcl provider "aws" { # Configure your AWS provider as necessary } # You can define variables to have the user input configurable options variable "event_bus_name" { description = "Please enter the event bus name that you want to create." type = string } variable "service_router_table_name" { description = "Please enter the service router table name that you want to create." type = string } variable "security_group_id" { description = "Please enter the VPC security group id" type = string } variable "list_of_subnet_ids" { description = "Array of Subnet IDs in the Availability Zones" type = list(string) } # DynamoDB table resource resource "aws_dynamodb_table" "service_router_dynamo_table" { name = var.service_router_table_name billing_mode = "PROVISIONED" read_capacity = 5 write_capacity = 5 hash_key = "serviceId" attribute { name = "serviceId" type = "S" } } # Lambda function resource resource "aws_lambda_function" "transformer_lambda" { function_name = "EventRelayFunction" handler = "index.lambdaHandler" runtime = "nodejs14.x" code { // Specify S3 bucket details if your code resides in an S3 bucket // s3_bucket = "<BUCKET_NAME>" // s3_key = "<BUCKET_KEY>" // Or use filename to point to a local file that contains your Lambda source code // filename = "function-code.zip" } description = "A function that receives events from an EventBridge rule and makes an HTTP call" publish = true timeout = 30 // Set the desired timeout, in seconds memory_size = 128 // Set the desired memory size, in MB environment { variables = { EVENT_BUS_NAME = var.event_bus_name SERVICE_ROUTER_TABLE = aws_dynamodb_table.service_router_dynamo_table.name } } vpc_config { security_group_ids = [var.security_group_id] subnet_ids = var.list_of_subnet_ids } // Policies can be attached in multiple ways, below is one example // IAM role is created and then a policy is attached to that role role = aws_iam_role.lambda_exec_role.arn } # IAM role for the Lambda function resource "aws_iam_role" "lambda_exec_role" { assume_role_policy = jsonencode({ Version = "2012-10-17" Statement = [ { Action = "sts:AssumeRole" Effect = "Allow" Principal = { Service = "lambda.amazonaws.com" } }, ] }) } # Example of attaching a policy to the IAM role resource "aws_iam_role_policy" "lambda_policy" { name = "lambda_policy" role = aws_iam_role.lambda_exec_role.id policy = data.aws_iam_policy_document.lambda_policy_document.json } # IAM policy document for Lambda permissions data "aws_iam_policy_document" "lambda_policy_document" { statement { actions = [ "events:PutEvents", "dynamodb:GetItem", "dynamodb:BatchGetItem", "dynamodb:Query", "dynamodb:Scan" ] resources = [ aws_dynamodb_table.service_router_dynamo_table.arn ] } } # EventBridge EventBus resource resource "aws_cloudwatch_event_bus" "event_bus" { name = var.event_bus_name } # EventBridge rule that triggers the Lambda function resource "aws_cloudwatch_event_rule" "event_bridge_rule_inbound" { name = "InboundRule" event_bus_name = aws_cloudwatch_event_bus.event_bus.name event_pattern = jsonencode({ "detail-type" = [ "inbound-event-sent" ] }) } # EventBridge target for the Lambda function resource "aws_cloudwatch_event_target" "lambda_target" { rule = aws_cloudwatch_event_rule.event_bridge_rule_inbound.name event_bus_name = aws_cloudwatch_event_bus.event_bus.name target_id = "LambdaFunction" arn = aws_lambda_function.transformer_lambda.arn // Additional parameters like `input`, `input_path`, and `input_transformer` can be set as needed } # Permissions for the Lambda function to be invoked by EventBridge resource "aws_lambda_permission" "events_to_invoke_lambda_policy" { statement_id = "AllowExecutionFromEventBridge" function_name = aws_lambda_function.transformer_lambda.function_name action = "lambda:InvokeFunction" principal = "events.amazonaws.com" source_arn = aws_cloudwatch_event_rule.event_bridge_rule_inbound.arn } # EventBridge rule that logs to CloudWatch Logs resource "aws_cloudwatch_event_rule" "event_bridge_rule_outbound" { name = "OutboundRule" event_bus_name = aws_cloudwatch_event_bus.event_bus.name event_pattern = jsonencode({ "detail-type" = [ "outbound-event-sent" ] }) } # CloudWatch Log Group for logs resource "aws_cloudwatch_log_group" "cloud_watch_logs_group" { name = "/aws/events/event-bus-relay-logs" } # Permissions for CloudWatch Logs resource "aws_cloudwatch_log_resource_policy" "events_to_cloud_watch_log_group_policy" { policy_name = "EventBridgeToCWLogsPolicy" policy_document = data.aws_iam_policy_document.cloudwatch_logs_policy_document.json } # IAM policy document for CloudWatch Logs permissions data "aws_iam_policy_document" "cloudwatch_logs_policy_document" { statement { sid = "EventBridgetoCWLogsPolicy2" actions = [ "logs:CreateLogStream", "logs:PutLogEvents" ] resources = [ aws_cloudwatch_log_group.cloud_watch_logs_group.arn ] principals { type = "Service" identifiers = ["delivery.logs.amazonaws.com", "events.amazonaws.com"] } condition { test = "ArnEquals" variable = "aws:SourceArn" values = [ aws_cloudwatch_event_rule.event_bridge_rule_inbound.arn, aws_cloudwatch_event_rule.event_bridge_rule_outbound.arn ] } } } ``` Please note that Terraform configurations can be more complex than translating a simple CloudFormation template. Some aspects of the setup, like functions or specific attributes of particular resources, might need extra configuration depending on the context. Additionally, in the case of the Lambda function code, you may need to specify the location of your Lambda code, which could be on S3 or locally. Also, Terraform uses providers to manage resources, and in this example, we only included the AWS provider. Any resource that's managed outside of AWS would require a different provider. Remember to run `terraform init` to initialize the Terraform configuration, and then `terraform plan` to see what Terraform will do before actually applying the changes with `terraform apply`. Lastly, this configuration assumes you're using the latest version of the `aws` provider at the time of this response. If you're using a different version, you might need to adjust the syntax accordingly.