کوڈ

#include <stdio.h>

/* Counting example */
int main(int argc, char** argv) {
    int i;

    // This counts from 0 to 9.
    for (i = 0; i < 10; i++) {
        printf("Counting %d\n", i);
    }
}

<pre class="prettyprint">
#include <stdio.h>

/* Counting example */
int main(int argc, char** argv) {
    int i;

    // This counts from 0 to 9.
    for (i = 0; i < 10; i++) {
        printf("Counting %d\n", i);
    }
}
</pre>

dev_appserver.py -a $HOST --debug demos/getstarted

<pre>dev_appserver.py -a $HOST --debug demos/getstarted</pre>

www.example-url-that-does-not-make-sense-to-copy.com

<pre class="prettyprint devsite-disable-click-to-copy">www.example-url-that-does-not-make-sense-to-copy.com</pre>

{:.devsite-disable-click-to-copy}

<span class="no-select">C:\> </span>ping google.com

C:\\> ping google.com

data-copy-event-label

<pre class="devsite-terminal devsite-click-to-copy" data-copy-event-label="unique_identifier"></pre>

<pre class="prettyprint devsite-disable-code-toggle"></pre>

``` {.devsite-disable-code-toggle}

<pre class="prettyprint devsite-dark-code-default"></pre>

run(dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset, target_column: str, time_column: str, time_series_identifier_column: str, unavailable_at_forecast_columns: List[str], available_at_forecast_columns: List[str], forecast_horizon: int, data_granularity_unit: str, data_granularity_count: int, training_fraction_split: Optional[float] = None, validation_fraction_split: Optional[float] = None, test_fraction_split: Optional[float] = None, predefined_split_column_name: Optional[str] = None, weight_column: Optional[str] = None, time_series_attribute_columns: Optional[List[str]] = None, context_window: Optional[int] = None, export_evaluated_data_items: bool = False, export_evaluated_data_items_bigquery_destination_uri: Optional[str] = None, export_evaluated_data_items_override_destination: bool = False, quantiles: Optional[List[float]] = None, validation_options: Optional[str] = None, budget_milli_node_hours: int = 1000, model_display_name: Optional[str] = None, model_labels: Optional[Dict[str, str]] = None, sync: bool = True)

run(dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset, target_column: str, time_column: str, time_series_identifier_column: str, unavailable_at_forecast_columns: List[str], available_at_forecast_columns: List[str], forecast_horizon: int, data_granularity_unit: str, data_granularity_count: int, training_fraction_split: Optional[float] = None, validation_fraction_split: Optional[float] = None, test_fraction_split: Optional[float] = None, predefined_split_column_name: Optional[str] = None, weight_column: Optional[str] = None, time_series_attribute_columns: Optional[List[str]] = None, context_window: Optional[int] = None, export_evaluated_data_items: bool = False, export_evaluated_data_items_bigquery_destination_uri: Optional[str] = None, export_evaluated_data_items_override_destination: bool = False, quantiles: Optional[List[float]] = None, validation_options: Optional[str] = None, budget_milli_node_hours: int = 1000, model_display_name: Optional[str] = None, model_labels: Optional[Dict[str, str]] = None, sync: bool = True)

<pre class="wrap-code">
run(dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset, target_column: str, time_column: str, time_series_identifier_column: str, unavailable_at_forecast_columns: List[str], available_at_forecast_columns: List[str], forecast_horizon: int, data_granularity_unit: str, data_granularity_count: int, training_fraction_split: Optional[float] = None, validation_fraction_split: Optional[float] = None, test_fraction_split: Optional[float] = None, predefined_split_column_name: Optional[str] = None, weight_column: Optional[str] = None, time_series_attribute_columns: Optional[List[str]] = None, context_window: Optional[int] = None, export_evaluated_data_items: bool = False, export_evaluated_data_items_bigquery_destination_uri: Optional[str] = None, export_evaluated_data_items_override_destination: bool = False, quantiles: Optional[List[float]] = None, validation_options: Optional[str] = None, budget_milli_node_hours: int = 1000, model_display_name: Optional[str] = None, model_labels: Optional[Dict[str, str]] = None, sync: bool = True)
</pre>

adb devices

<pre class="devsite-terminal devsite-click-to-copy">
adb devices
</pre>

gradle init --type basic
mkdir -p src/main/java src/main/resources

<pre class="prettyprint">
<code class="devsite-terminal">gradle init --type basic</code>
<code class="devsite-terminal">mkdir -p src/main/java src/main/resources</code>
</pre

Install-Package Google.Apis.Calendar.v3

<pre class="devsite-terminal devsite-click-to-copy" data-terminal-prefix="PM&gt; ">
Install-Package Google.Apis.Calendar.v3
</pre>

// ...
// ...
// ...
for (i = 0; i < 10; i++) {
    printf("Counting %d\n", i);

    if (i % 3 == 0) {
        someFunc(i);
    }
}
// ...
// ...
// ...

<pre class="prettyprint">
// ...
// ...
// ...
for (i = 0; i < 10; i++) {
    printf("Counting %d\n", i);

    <strong>if (i % 3 == 0) {
        someFunc(i);
    }</strong>
}
// ...
// ...
// ...
</pre>

dev_appserver.py YOUR_APP_DIR.

<pre>dev_appserver.py <var>YOUR_APP_DIR</var></pre>

Hello, my name is YOUR_NAME.

    ```
    Hello, my name is YOUR_NAME.
    ```

    ```
    print("hello world")
    ```

    print("hello world")

<pre class="prettyprint notranslate" translate="no"><code>
print("hello world")
</code></pre>

print("hello world")

<pre class="prettyprint notranslate lang-py" translate="no"><code>
print("hello world")
</code></pre>

The program completed successfully.

<pre class="devsite-disable-click-to-copy"><code>The program completed successfully.
</code></pre>