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README.md
Using OkHttp is easy. Its request/response API is designed with fluent builders and immutability. It supports both synchronous blocking calls and async calls with callbacks. Get a URL --------- This program downloads a URL and prints its contents as a string. [Full source][get_example]. ```java OkHttpClient client = new OkHttpClient(); String run(String url) throws IOException { Request request = new Request.Builder()
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docs/bucket/notifications/README.md
mc event list myminio/images arn:minio:sqs::1:amqp s3:ObjectCreated:*,s3:ObjectRemoved:* Filter: suffix=”.jpg” ``` ### Step 3: Test on RabbitMQ The python program below waits on the queue exchange `bucketevents` and prints event notifications on the console. We use [Pika Python Client](https://www.rabbitmq.com/tutorials/tutorial-three-python.html) library to do this. ```py
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cni/README.md
- CNI installer will try to look for the config file under the mounted CNI net dir based on file name extensions (`.conf`, `.conflist`) - the file name can be explicitly set by `CNI_CONF_NAME` env var - the program inserts `CNI_NETWORK_CONFIG` into the `plugins` list in `/etc/cni/net.d/${CNI_CONF_NAME}` - the actual code is in pkg/install - including a readiness probe, monitoring.
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docs/bigdata/README.md
### **4.1 Spark Pi**
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README.md
*Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.* #### *Try your first TensorFlow program* ```shell $ python ``` ```python >>> import tensorflow as tf >>> tf.add(1, 2).numpy() 3 >>> hello = tf.constant('Hello, TensorFlow!') >>> hello.numpy() b'Hello, TensorFlow!' ```
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docs/select/README.md
print("Stats details bytesScanned: ") print(statsDetails['BytesScanned']) print("Stats details bytesProcessed: ") print(statsDetails['BytesProcessed']) ``` ## 4. Run the Program Upload a sample dataset to MinIO using the following commands. ```sh curl "https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_TotalPopulationBySex.csv" > TotalPopulation.csv
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README.md
information on the Istio community, including the various documents that govern the Istio open source project. - [istio/istio](README.md). This is the main code repository. It hosts Istio's core components, install artifacts, and sample programs. It includes: - [istioctl](istioctl/). This directory contains code for the [_istioctl_](https://istio.io/latest/docs/reference/commands/istioctl/) command line utility.
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