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api/go1.5.txt
pkg image, method (*CMYK) At(int, int) color.Color pkg image, method (*CMYK) Bounds() Rectangle pkg image, method (*CMYK) CMYKAt(int, int) color.CMYK pkg image, method (*CMYK) ColorModel() color.Model pkg image, method (*CMYK) Opaque() bool pkg image, method (*CMYK) PixOffset(int, int) int pkg image, method (*CMYK) Set(int, int, color.Color) pkg image, method (*CMYK) SetCMYK(int, int, color.CMYK)
Registered: Tue Sep 09 11:13:09 UTC 2025 - Last Modified: Thu Jul 30 21:14:09 UTC 2015 - 46.6K bytes - Viewed (0) -
schema/field.go
Float DataType = "float" String DataType = "string" Time DataType = "time" Bytes DataType = "bytes" ) const DefaultAutoIncrementIncrement int64 = 1 // Field is the representation of model schema's field type Field struct { Name string DBName string BindNames []string EmbeddedBindNames []string DataType DataType
Registered: Sun Sep 07 09:35:13 UTC 2025 - Last Modified: Wed Aug 20 04:51:17 UTC 2025 - 32K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/Striped.java
* stripes, the intended concurrency level, and the typical number of keys used in a {@code * bulkGet(keys)} operation. See <a href="http://www.mathpages.com/home/kmath199.htm">Balls in * Bins model</a> for mathematical formulas that can be used to estimate the probability of * collisions. * * @param keys arbitrary non-null keys
Registered: Fri Sep 05 12:43:10 UTC 2025 - Last Modified: Sat Aug 09 01:14:59 UTC 2025 - 20.6K bytes - Viewed (0) -
docs/bn/docs/python-types.md
/// tip যখন আপনি `Optional` বা `Union[Something, None]` ব্যবহার করেন এবং কোনো ডিফল্ট মান না থাকে, Pydantic-এর একটি বিশেষ আচরণ রয়েছে, আপনি Pydantic ডকুমেন্টেশনে [Required Optional fields](https://docs.pydantic.dev/latest/concepts/models/#required-optional-fields) সম্পর্কে আরও পড়তে পারেন। /// ## মেটাডাটা অ্যানোটেশন সহ টাইপ হিন্টস Python-এ এমন একটি ফিচার আছে যা `Annotated` ব্যবহার করে এই টাইপ হিন্টগুলিতে **অতিরিক্ত মেটাডাটা** রাখতে দেয়।
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 35.6K bytes - Viewed (0) -
docs/es/docs/tutorial/query-params-str-validations.md
/// /// tip | Consejo
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Feb 15 16:23:59 UTC 2025 - 16.5K bytes - Viewed (0) -
cmd/data-usage-cache.go
return cycles == 1 } return uint32(xxhash.Sum64String(string(h)))%cycles == cycle%cycles } // modAlt returns true if the hash mod cycles == cycle. // This is out of sync with mod. // If cycles is 0 false is always returned. // If cycles is 1 true is always returned (as expected). func (h dataUsageHash) modAlt(cycle uint32, cycles uint32) bool { if cycles <= 1 { return cycles == 1 }
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 34.7K bytes - Viewed (0) -
docs/es/docs/index.md
╭────────── FastAPI CLI - Development mode ───────────╮ │ │ │ Serving at: http://127.0.0.1:8000 │ │ │ │ API docs: http://127.0.0.1:8000/docs │ │ │ │ Running in development mode, for production use: │
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 21.5K bytes - Viewed (0) -
docs/pt/docs/index.md
╭────────── FastAPI CLI - Development mode ───────────╮ │ │ │ Serving at: http://127.0.0.1:8000 │ │ │ │ API docs: http://127.0.0.1:8000/docs │ │ │ │ Running in development mode, for production use: │
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 21.6K bytes - Viewed (0) -
docs/nl/docs/index.md
╭────────── FastAPI CLI - Development mode ───────────╮ │ │ │ Serving at: http://127.0.0.1:8000 │ │ │ │ API docs: http://127.0.0.1:8000/docs │ │ │ │ Running in development mode, for production use: │
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 21.2K bytes - Viewed (0) -
docs/ja/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` これは以下のように用いられます: ```Python my_user: User = User(id=3, name="John Doe", joined="2018-07-19") second_user_data = {
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 12.2K bytes - Viewed (0)