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docs/id/docs/index.md
 ### Ringkasan Singkatnya, anda mendeklarasikan **sekali** jenis parameter, struktur, dll. sebagai parameter fungsi. Anda melakukannya dengan tipe standar moderen Python. Anda tidak perlu belajar sintaksis, metode, *classs* baru dari *library* tertentu, dll. Cukup **Python** standar. Sebagai contoh untuk `int`:
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 20.5K bytes - Viewed (0) -
docs/tr/docs/tutorial/query-params.md
## Çoklu Yol ve Sorgu Parametreleri **FastAPI** neyin ne olduğunu ayırt edebileceğinden dolayı aynı anda birden fazla yol ve sorgu parametresi tanımlayabilirsiniz. Ve parametreleri, herhangi bir sıraya koymanıza da gerek yoktur. İsimlerine göre belirleneceklerdir:
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:29:01 UTC 2025 - 5.2K bytes - Viewed (0) -
cmd/test-utils_test.go
} // nextSuffix - provides a new unique suffix every time the function is called. func nextSuffix() string { randmu.Lock() r := randN // Initial seed required, generate one. if r == 0 { r = reseed() } // constants from Numerical Recipes r = r*1664525 + 1013904223 randN = r randmu.Unlock() return strconv.Itoa(int(1e9 + r%1e9))[1:] } // isSameType - compares two object types via reflect.TypeOf
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 77K bytes - Viewed (0) -
RELEASE.md
* `tf.experimental.StructuredTensor` * Introduced `tf.experimental.StructuredTensor`, which provides a flexible and Tensorflow-native way to encode structured data such as protocol buffers or pandas dataframes. * `tf.keras`: * Added method `get_metrics_result()` to `tf.keras.models.Model`. * Returns the current metrics values of the model as a dict.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Aug 18 20:54:38 UTC 2025 - 740K bytes - Viewed (2)