Respan Dataset Explorer

当前时间:2024/4/22 18:14:43
优惠id:2102024013164025
移动-中国银行信用卡分期满5000减250元
一、营销活动时间
2024年2月1日00:00:00至2024年4月30日23:59:59
二、营销对象
中国银行在中国国内（不含港澳台地区）发行的62开头银联信用卡持卡人，限个人卡参与，公务卡
三、营销活动内容
1、活动范围
   中国移动（包括“中国移动APP”、“和包App”、“中国移动、支付宝直播间”、"中移动外部触点"等）
2、活动方式
活动期间，符合要求的活动对象在中国移动（包括“中国移动APP”、“和包App”、“中国移动、支付宝直播间”、"中移动外部触点"等）购买指定款手机，并使用指定62开头的中国银行信用卡进行分期付款，可享受满1000元立减50元（3986名）、3000元立减150元（2644名）、满5000元立减250元（1541名）的活动，移动-中行信用卡分期三档活动，单个用户在活动期间仅可享受1次优惠。活动名额有限，先到先得，用完即止。（具体以银联聚分期收银台优惠展示为准）。
四、使用细则
1、本活动信用卡分期是指持卡人使用符合活动条件的中国银行信用卡消费时实现分期付款的过程，后续持卡人需分期向银行还款并支付相应的分期利息。本次活动期间，目前仅支持设置了免息分期的商品有机会享受信用卡分期支付满减优惠，支持12/24期分期，近似折算年化利率（单利）为0%，具体支持的商品范围及期数以实际支付页面展示为准。
近似折算年化利率是根据持卡人现金流计算的年化内含报酬率，供持卡人评估资金成本时参考，计算公式为：
，12*IRR=近似折算年化利率(单利)。因持卡人选择办理的分期业务存在交易金额、交易时间、账单日间隔、每月实际天数、提前结清等差异因素，可能导致实际年化利率与前述近似折算年化利率存在差异，具体以支付页面提示为准。
2、活动期间，同一卡号或同一银行预留手机号均视为同一客户。
3、若持卡人享受到优惠的订单发生全部退货，退货金额以实际支付金额为准，优惠部分不做退回，全额退款用户视为已使用优惠，同一用户在活动期间不能再享受优惠；
4、活动中有关商品或服务由中国移动提供，中国移动指定商品可享满减优惠，具体范围以中国移动（包括“中国移动APP”、“和包App”、“中国移动、支付宝直播间”、"中移动外部触点"等）实际支付页面展示为准。持卡人可根据个人意愿自行决定是否购买或使用该平台提供的商品或服务，如对购买活动商品范围、商品详情及商品售后有疑问，可拨打中国移动客服电话进行咨询，电话：10086，服务时间：全天24小时。
5、中国银行仅提供信用卡分期还款服务，持卡人不能以与商户存在纠纷为由拒绝偿还银行信用卡欠款。持卡人也可致电中国银行信用卡客服热线（4006695566）进行活动咨询或投诉。
6、持卡人清楚并同意，若名下所有卡片均已注销或失效（包括但不限于注销、挂失、丢失、未激活等），将视为主动放弃参与活动的资格。
7、如出现不可抗力或情势变更的情况（包括但不限于重大灾害事件、活动受政府机关指令需要停止举办或调整的、活动遭受严重网络攻击或因系统故障需要暂停举办的），中国银行和中国移动有权暂停或取消本次活动，并可依相关法律法规的规定主张免责。
8、中国银行和中国移动有权在中国法律法规及监管规定允许范围内，根据活动实际开展情况，解释、修改、变更本活动条款及细则（包括但不限于延迟或提前终止本活动、更换同等价值礼品、参加资格、名额认定及奖励方式等），并于中国银行相关途径（如中国银行信用卡微信公众号等）和中国移动等相关渠道公告后生效，敬请持卡人留意。
9、若持卡人有下述任一情况：
  1）出现作弊行为（如使用多张信用卡或多个账号、进行批量注册、恶意购买、虚假分享、使用外挂、插件及其他破坏活动规则、违背活动公平的方式等）；
  2）存在或疑似存在利用虚假交易等手段进行信用卡套现、骗取积分、奖品或增值服务等违法违规行为；
  3）发生任何虚假、欺诈、套现、用于经营性目的、分单等违法或不正常交易，或与商户恶意串通以各种形式损害银行权益；
  4）持卡人信用卡出现任何非正常状态，包括但不限于逾期、风险管控、欺诈止付等异常状态、限制或停止用卡、销卡、销户、到期未续卡等；
  5）在出现疑似不正常交易但拒绝配合银行进行调查的；
  6）持卡人存在任何违背《信用卡领用合约》《信用卡章程》《信用卡重要提示》（持卡人可登录中国银行官网查看相关内容）的情形等。
中国银行或银联及中国移动有权对相关交易进行调查核实，核实后本行和银联或中国移动保留采取撤销活动资格、取消优惠、限制卡片使用等措施的权利，，并保留追究相关责任的权利。
10、信用卡分期不可用于房市、股市、投资等禁止性领域。
11、持卡人成功参与优惠活动后，在3期以内办理提前结清的，中国银行保留取消该持卡人获取奖励的资格、保留取消该持卡人参与我行其他分期赠礼系列营销活动的资格。
12、持卡人办理分期前，应仔细阅读并充分知晓《中国银行股份有限公司信用卡卡户分期付款业务约定条款》各项内容，并承诺遵守相关条款约定。持卡人可登录中国银行官网搜索“《中国银行股份有限公司信用卡卡户分期付款业务约定条款》”查看。
13、持卡人参与本活动即视为理解和同意本活动内容及细则。持卡人如办理本业务，中国银行将按照国家相关规定采集个人信息，具体采集目的、范围及处理方式，详见《信用卡授权书》，持卡人可登录中国银行官网查看。
14、本次活动所有时间点以中国银联后台系统时间（北京时间）为准。如出现不可抗力或情势变更等情况（如重大灾害事件、受有权机关指令需停止或调整的、系统故障需暂停的、活动中存在违规作弊行为损害消费者权益的），在法律许可的范围内，银联保留调整、暂停和终止本活动的权利，并经公告后生效。
15、用户参与活动即视为理解并同意本活动细则。优惠不与积分、红包、会员卡等同享，如对商品、活动规则有疑问，请咨询银联客服95516。
16、由于网络可能存在迟延，云闪付APP活动展示券上显示的剩余名额仅供参考。
17、温馨提示：量入为出，理性消费。
中国银行62开头信用卡（仅限个人卡，公务卡和单位卡除外）
移动-中行信用卡分期三档活动，单个用户在活动期间仅可享受1次优惠
中国移动App、和包App商城轻合约购机

```json
{
  "coupon_id": "2102024013164025",
  "time": "2024-2-1 ~ 2024-4-30",
  "days": 89,
  "platform": "中国移动App、和包App",
  "payway": "分期支付",
  "bank": "中国银行",
  "card_type": "信用卡",
  "area": "全国",
  "shops": "中国移动（包括“中国移动APP”、“和包App”、“中国移动、支付宝直播间”、“中移动外部触点”等）",
  "bins": "62",
  "coupons": "满5000减250元",
  "daily": 0,
  "weekly": 0,
  "monthly": 0,
  "total": 1,
  "scene": "指定款手机购买",
  "state": 1
}
```

we have an ojbect of python tuple : {('1', 'REDUCTION'), ('0', 'NOT CONCERNED'), ..} and a tuple instance (1,'X') write a test to check if the key of the instance aka 1 exists in the keys of the object of tuples

If you're looking to check if a specific key (in your case, the key is `1` but as a string '1', since your tuple keys are strings) exists in a collection of tuples (acting as key-value pairs), you can do this efficiently in Python. Here's an example of how you might write a function to perform this test:

```python
def key_exists_in_tuples(tuples_collection, key_to_check):
    # Convert the key_to_check to string since the keys in the tuples are strings
    key_to_check_str = str(key_to_check)
    # Check if the key exists
    return any(key == key_to_check_str for key, _ in tuples_collection)

# Example collection of tuples
tuples_collection = {('1', 'REDUCTION'), ('0', 'NOT CONCERNED')}

# Test instance (notice the key is an integer here)
test_instance = (1, 'X')

# Check if the key of test_instance exists in the collection
exists = key_exists_in_tuples(tuples_collection, test_instance[0])

print(f"Key exists: {exists}")
```

This script first defines a function `key_exists_in_tuples` that will iterate over the given collection of tuples and check if any tuple has a key that matches `key_to_check`. We use the `any()` function for an early exit if a match is found, making it more efficient than iterating over all elements if a match is found early on.

Note:
- The key from `test_instance` is converted to a string (`key_to_check_str = str(key_to_check)`) before checking because the keys in your collection are strings.
- You've defined your collection of tuples with curly braces `{}` which actually makes it a set of tuples, not an object or a dictionary. This is fine for this operation since sets are iterable and we're only concerned with checking the presence of a key, not retrieving associated values.

i am doing instance = model.objects.filter(**instance_data).first() to retirve instances from data base that matches my instance_data the problem my instand data looks like follows : {'type': 'X', 'description': 'stiti'} , i only want it to retrieve the instance based on 'type' so only the first key

If you're working with Django and you have a dictionary that contains more fields than you want to use for your filter, you can select just the desired fields before applying them as filter arguments. If you only want to filter based on the `'type'` field, you can extract just this field from your `instance_data` dictionary and use it for filtering.

Here's how you can do it:

```python
# Your instance_data dictionary
instance_data = {'type': 'X', 'description': 'stiti'}

# Extract just the 'type' field for filtering
filter_criteria = {key: instance_data[key] for key in ['type']}

# Use filter_criteria for filtering
instance = model.objects.filter(**filter_criteria).first()
```

In this example, `filter_criteria` will only contain the `'type'` key and its corresponding value from `instance_data`, because we're creating a new dictionary with just the keys we're interested in (in this case, only `'type'`). This way, the filter will only consider the `'type'` field when retrieving the instance, ignoring the `'description'` field.

This approach is particularly useful when you have a lot of fields in your `instance_data` but only need to filter based on one or a few fields. It keeps your filtering precise and flexible.

no specifying the key in ['type'] , it can be any other key , justn eed the first one

If you want to dynamically select just the first key-value pair from your `instance_data` dictionary without explicitly specifying the key (for instance, it could be `'type'` or any other key that happens to be first), you can achieve this by converting the dictionary items to a list and selecting the first item. Here's how to do it:

```python
# Your instance_data dictionary
instance_data = {'type': 'X', 'description': 'stiti'}

# Extract the first key-value pair as filter criteria
filter_criteria = dict(list(instance_data.items())[:1])

# Use filter_criteria for filtering
instance = model.objects.filter(**filter_criteria).first()
```

This method takes the items of the `instance_data` dictionary (which are returned as a view), converts them to a list (where each item is a tuple of key-value pair), and then slices the list to get only the first tuple. This tuple is then converted back into a dictionary (`filter_criteria`), which is used as the argument to `filter`. This allows you to dynamically filter based on whatever the first key-value pair in the dictionary is, without needing to know what that key is in advance. 

This technique will work as long as `instance_data` is not empty. If `instance_data` could be empty, and you want to handle that case specifically (such as not attempting to filter at all), you should add a check before proceeding with the filter step.

how to check field name of an object

In Python, especially when working with Django or similar frameworks, checking the field names of an object is a frequent requirement for dynamic data handling. The method of achieving this depends on the type of object you're dealing with. Below, I'll outline methods for checking field names in plain Python objects, Django models, and Python dictionaries, as these are common scenarios where such a need arises.

### For Plain Python Objects

For regular Python objects, you can use the `dir()` function or the `__dict__` attribute to inspect the attributes of the object. However, determining what constitutes a "field" as opposed to methods or built-in attributes can be non-trivial and might depend on your specific use case.

```python
class MyObject:
    def __init__(self):
        self.name = None
        self.age = None

obj = MyObject()

# Using dir()
all_attributes = dir(obj)
fields = [attr for attr in all_attributes if not callable(getattr(obj, attr)) and not attr.startswith("__")]

# Using __dict__
fields = obj.__dict__.keys()

print(fields)
```
This will give you the attributes `name` and `age`.

### For Django Models

In Django, models have a `_meta` attribute that provides a lot of introspective properties about the model, including field names.

```python
from myapp.models import MyModel

# Assuming instance of MyModel
instance = MyModel.objects.first()

# Get all field names
field_names = [f.name for f in instance._meta.get_fields()]

# If you only want fields that are database columns, you can filter further
db_columns = [f.name for f in instance._meta.fields]

print(field_names)
```

Note: Use of `_meta` is a documented Django API, but it's considered to be for internal purposes. It's stable but typically used for more advanced scenarios.

### For Python Dictionaries

A dictionary doesn't have "fields" in the same way objects do; it has keys. You can get all the keys of a dictionary with the `.keys()` method.

```python
data = {'name': 'Alice', 'age': 30}

field_names = data.keys()

print(list(field_names))
```

### Notes and Considerations

- Each of these methods is tailored to a specific type of object: plain Python objects, Django model instances, and dictionaries. Choose your approach based on the kind of object you're working with.
- For Django models, besides field names, the `_meta` API can give you a wealth of other information about the model, such as verbose names, related objects, and much more. It's a powerful tool for introspection.

                            As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.
                            
                            Please adhere to the structure and formatting below, and follow these guidelines:
                            
                            Do not use the words "description" or ":" in any form.
                            Do not place a comma between [ar] and [v].
                            Write each prompt in one line without using return.
                            Structure:
                            [1] = 机械手表
                            [2] = a detailed description of [1] with specific imagery details.
                            [3] = a detailed description of the scene's environment.
                            [4] = a detailed description of the compositions.
                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.
                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].
                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.
                            [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images.
                            [v] = Use "--niji 5" for Japanese art style, or "--v 5.2" for other styles.
                            
                            
                            Formatting:
                            Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]".
                            
                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.
                            
                            Write your prompts in english.
                            Do not describe unreal concepts as "real" or "photographic".
                            Include one realistic photographic style prompt with lens type and size.
                            Separate different prompts with two new lines.
                            Example Prompts:
                            
                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2
                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2
                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
                                                        

/imagine prompt: luxurious mechanical wristwatch, intricate gears visible through a transparent back case, polished stainless steel bracelet, gleaming under soft ambient lighting, displayed on a sleek black velvet cushion, surrounded by vintage pocket watches and leather watch straps, evoking a sense of refined craftsmanship and precision engineering, captured with a Canon EOS 5D Mark IV camera, 50mm prime lens, macro shot focusing on the watch's intricate details, in a style reminiscent of high-end watch advertisements. --ar 16:9 --v 5.2

/imagine prompt: modern industrial loft setting, large windows showcasing a bustling cityscape at dusk, with steel beams and concrete walls providing a stark backdrop, a minimalist wooden desk cluttered with mechanical watchmaking tools and precision instruments, a vintage leather chair adding a touch of elegance, soft warm lighting casting dramatic shadows, creating a juxtaposition of raw aesthetics and refined craftsmanship, Illustration, digital art --ar 16:9 --v 5

/imagine prompt: vintage mechanical timepiece, brass accents and intricate engravings, mounted on a weathered wooden table in an abandoned clockmaker's workshop, surrounded by dusty old books on horology and faded blueprints of intricate timekeeping mechanisms, dim light filtering through stained glass windows casting a nostalgic glow, capturing the essence of a bygone era of craftsmanship and artisanship, captured with a Fujifilm X-T4 camera, 35mm lens, wide-angle shot emphasizing the rustic charm of the scene, in a style reminiscent of Victorian-era still life paintings. --ar 16:9 --v 5.2

/imagine prompt: futuristic biomechanical wristwatch, blending organic and mechanical elements seamlessly, glowing bioluminescent display panels and pulsating energy veins, set against a backdrop of a high-tech laboratory with holographic displays and floating data streams, a robotic arm adjusting the watch's settings, conveying a sense of cutting-edge technology and innovation, captured with a Sony a7R III camera, 24-70mm zoom lens, dynamic composition highlighting the watch's futuristic design, in a style inspired by concept art for sci-fi films. --ar 16:9 --v 5.

John Denver는 생전에 Elton John에 대해서 어떻게 생각했습니까?를 영어로 번역

What did John Denver think of Elton John during his lifetime?

Vitamins - are essential substances that:


a.
have the energy value


b.
contained in drinking water


c.
perform catalytic functions


d.
are macronutrients


e.
have plastic value 

c. perform catalytic functions

characteristics of physical development, functional and adaptive reserves of the body can be assessed using the following methods:


a.
Physiological


b.
Biochemical


c.
Phyisiometric


d.
Somatometric

a. Physiological 

b. Biochemical 

c. Physiometric 

d. Somatometric

What did John Denver think of Elton John during his lifetime?

While specific personal opinions can vary and might not be fully documented, there is evidence to suggest that John Denver and Elton John shared mutual respect as musicians. In the music industry, especially among artists who rise to prominence around the same time, it's common for musicians to respect each other's work, even if their personal interactions or public statements about one another might be limited.

John Denver and Elton John were both prominent figures in the music scene during the 1970s and 1980s, each enjoying significant success in their respective genres. Denver was known for his folk and country music, with hits like "Take Me Home, Country Roads" and "Rocky Mountain High," while Elton John was celebrated for his pop and rock contributions, with numerous hits like "Your Song" and "Rocket Man."

While there's no widely publicized documentation of Denver expressing his thoughts about Elton John or vice versa, it's reasonable to infer that there was a level of professional respect between them. Both were accomplished songwriters and performers who made substantial impacts on the music industry and their genres. Additionally, musicians often recognize and respect the talent and success of their contemporaries, even if their musical styles differ.

Given the era in which both artists were at the height of their popularity, it would not be surprising if they had mutual respect for one another's work. However, without specific quotes or documented interactions, it's mainly speculative to comment on the personal opinions they held about each other.