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建議使用pyinstaller打包，穩(wěn)定方便。
你這個錯誤是因?yàn)槟鉺etup(console=["conversion_rate.py"])這里面參數(shù)太少了。

注意:python3以后才支持yield from語法

import collections


def flatten(d, prefix="", sep="_"):
    def _take_prefix(k, v, p):
        if p:
            yield from flatten(v, "{}{}{}".format(p, sep, k))
        else:
            yield from flatten(v, str(k))

    if isinstance(d, dict):
        for k, v in d.items():
            if isinstance(v, str) or not isinstance(v, collections.Iterable):
                if prefix:
                    yield "{}{}{}".format(prefix, sep, k), v
                else:
                    yield k, v
            elif isinstance(v, dict):
                yield from _take_prefix(k, v, prefix)
            elif isinstance(v, list):
                for i in v:
                    yield from _take_prefix(k, i, prefix)
            else:
                pass
    else:
        pass

dic = {your dataset}
for key, value in flatten(dic):
    print("{}: {}".format(key, value))

結(jié)果如下,應(yīng)該能拍平了

status: changed
dataset_id: 5a4b463c855d783af4f5f695
dataset_name: AE_E
dataset_label: 1- ADVERSE EVENTS - Not Analyzed
details_variables_variable_id: 5a4b4647855d783b494f9d3f
details_variables_variable_name: CPEVENT
details_variables_variable_label: CPEVENT
details_variables_status: changed
details_variables_details_r_type_new_value: unary
details_variables_details_r_type_old_value: factor
details_variables_message: Variable with different R Type
details_variables_variable_id: 5a4b4647855d783b494f9d25
details_variables_variable_name: CPEVENT2
details_variables_variable_label: CPEVENT2
details_variables_status: changed
details_variables_details_r_type_new_value: unary
details_variables_details_r_type_old_value: binary
details_variables_message: Variable with different R Type
details_variables_variable_id: 5a4b4647855d783b494f9d26
details_variables_variable_name: CP_UNSCHEDULED
details_variables_variable_label: CP_UNSCHEDULED
details_variables_status: changed
details_variables_details_r_type_new_value: undefined
details_variables_details_r_type_old_value: unary
details_variables_message: Variable with different R Type
details_variables_variable_id: 5a4b4647855d783b494f9d02
details_variables_variable_name: VISIT_NUMBER
details_variables_variable_label: VISIT_NUMBER
details_variables_status: changed
details_variables_details_r_type_new_value: unary
details_variables_details_r_type_old_value: integer
details_variables_message: Variable with different R Type
details_variables_variable_id: 5a4b4647855d783b494f9ccf
details_variables_variable_name: VISIT_NUMBER2
details_variables_variable_label: VISIT_NUMBER2
details_variables_status: changed
details_variables_details_r_type_new_value: unary
details_variables_details_r_type_old_value: binary
details_variables_message: Variable with different R Type
details_many_visits: None

針對你修改后的問題, 再加個函數(shù)就搞定:

# 這個fuck_all函數(shù)比較特例, 完全是針對你要區(qū)分的dataset下面的N個變量信息這種需求
def fuck_all(dic, prefix="details_variables"):
    lst = list(flatten(dic))  # flatten函數(shù)則比較通用,任何嵌套數(shù)據(jù)集都可以用它拍平
    lines = []
    top = {k: v for k, v in lst if not k.startswith(prefix)}
    index = 0
    for key, value in lst:
        if not key.startswith(prefix):
            continue
        else:
            if not lines:
                lines.append(top.copy())
        if key in lines[index].keys():
            index += 1
            lines.append(top.copy())
        lines[index][key] = value
    return lines

d = {your dataset}
for i in fuck_all(d):
    print(i)    

結(jié)果長這樣,應(yīng)該是能滿足你需求了

{'status': 'changed', 'dataset_id': '5a4b463c855d783af4f5f695', 'dataset_name': 'AE_E', 'dataset_label': '1- ADVERSE EVENTS - Not Analyzed', 'details_many_visits': None, 'details_variables_variable_id': '5a4b4647855d783b494f9d3f', 'details_variables_variable_name': 'CPEVENT', 'details_variables_variable_label': 'CPEVENT', 'details_variables_status': 'changed', 'details_variables_details_r_type_new_value': 'unary', 'details_variables_details_r_type_old_value': 'factor', 'details_variables_message': 'Variable with different R Type'}
{'status': 'changed', 'dataset_id': '5a4b463c855d783af4f5f695', 'dataset_name': 'AE_E', 'dataset_label': '1- ADVERSE EVENTS - Not Analyzed', 'details_many_visits': None, 'details_variables_variable_id': '5a4b4647855d783b494f9d25', 'details_variables_variable_name': 'CPEVENT2', 'details_variables_variable_label': 'CPEVENT2', 'details_variables_status': 'changed', 'details_variables_details_r_type_new_value': 'unary', 'details_variables_details_r_type_old_value': 'binary', 'details_variables_message': 'Variable with different R Type'}
{'status': 'changed', 'dataset_id': '5a4b463c855d783af4f5f695', 'dataset_name': 'AE_E', 'dataset_label': '1- ADVERSE EVENTS - Not Analyzed', 'details_many_visits': None, 'details_variables_variable_id': '5a4b4647855d783b494f9d26', 'details_variables_variable_name': 'CP_UNSCHEDULED', 'details_variables_variable_label': 'CP_UNSCHEDULED', 'details_variables_status': 'changed', 'details_variables_details_r_type_new_value': 'undefined', 'details_variables_details_r_type_old_value': 'unary', 'details_variables_message': 'Variable with different R Type'}
{'status': 'changed', 'dataset_id': '5a4b463c855d783af4f5f695', 'dataset_name': 'AE_E', 'dataset_label': '1- ADVERSE EVENTS - Not Analyzed', 'details_many_visits': None, 'details_variables_variable_id': '5a4b4647855d783b494f9d02', 'details_variables_variable_name': 'VISIT_NUMBER', 'details_variables_variable_label': 'VISIT_NUMBER', 'details_variables_status': 'changed', 'details_variables_details_r_type_new_value': 'unary', 'details_variables_details_r_type_old_value': 'integer', 'details_variables_message': 'Variable with different R Type'}
{'status': 'changed', 'dataset_id': '5a4b463c855d783af4f5f695', 'dataset_name': 'AE_E', 'dataset_label': '1- ADVERSE EVENTS - Not Analyzed', 'details_many_visits': None, 'details_variables_variable_id': '5a4b4647855d783b494f9ccf', 'details_variables_variable_name': 'VISIT_NUMBER2', 'details_variables_variable_label': 'VISIT_NUMBER2', 'details_variables_status': 'changed', 'details_variables_details_r_type_new_value': 'unary', 'details_variables_details_r_type_old_value': 'binary', 'details_variables_message': 'Variable with different R Type'}

送佛送到西好了

from functools import reduce
import json

import pandas as pd


with open("your dataset file", "r") as fh:
    dic = json.load(fh)

df = pd.DataFrame(reduce(lambda x, y: x + y, (fuck_all(i) for i in dic)))
df.to_csv("out.csv", index=False)

成品

解決了，是resetFields把提示信息給清了，調(diào)整下位置，移到validateFields的回調(diào)函數(shù)里就能顯示了

react文檔讀了嗎？

圖中鏈接在此

七牛網(wǎng)上傳文件的api，自己查一下吧。
在react當(dāng)作一個ajax來請求就好了。

Go C++等語言的可執(zhí)行文件執(zhí)行是都是加載到內(nèi)存的

模擬登陸一般有兩種，一種是直接構(gòu)建數(shù)據(jù)包，一種是模擬人操作
你可以直接用個模擬器，像webdriver，phantomjs等，直接找到對應(yīng)的文本框，輸入賬號密碼，把驗(yàn)證碼截出來，自動識別或者人工輸入，當(dāng)然如果是暴力的話，不知道網(wǎng)站是不是存在驗(yàn)證碼失效的問題，最后模擬點(diǎn)擊登錄就好了

多張圖片，或者雪碧圖，切換

你安裝的libcurl 是什么版本

對, 如果需要加上事務(wù)的話, 可以試下通過 AopContext.currentProxy() 獲取到代理對象, 然后再調(diào)用do2.

300w的key太多了吧

沒有用過Thonny, 看上去Thonny是與系統(tǒng)的Python安裝地址是分開的，你可以看看你自己的ide Thonny的安裝包所在位置下是否有，沒有的話可以通過Thonny提供的Tools → Open system shell 來安裝

pip 安裝的的庫通常在下面類似的目錄下，你可以查看一下你的系統(tǒng)相應(yīng)目錄下是否有相應(yīng)的目錄

python2.7
/usr/local/lib/python2.7/dist-packages
/usr/lib/python2.7/site-packages

python3.5
/usr/local/lib/python3.5/dist-packages
/usr/lib/python3.5/site-packages

如果用VIRTUAL_ENV, 則會保存在相應(yīng)環(huán)境的下的lib/pythonX.Y/dist-packages下

也可以用pip list加上pip show查看具體有哪些庫和安裝位置。

同個頁面多個 swiper官方就有說明文檔
官方文檔

在給你的例子參考下
栗子

幾乎可以肯定是nginx配置，試試配置proxy_http_version 1.1;

是不是用vue的都有代碼癖啊?

iconfont.css可以作為靜態(tài)資源在index.html引入

同問？解決了碼？

natapp可以，配置也比較簡單https://natapp.cn/

https://developer.android.com...

<group>
    // 下面的 :value=0,換成一個你在data里聲明的變量，然后賦值過去。
    <x-number title="數(shù)量" v-model='value' :min="0" @on-change="change"></x-number>
</group>

vux的代碼里是watch的是父組件傳遞過來的value，當(dāng)他改變的時候才派發(fā)on-change事件。

那么他怎么改變？用v-model綁定一個變量，或者你自己實(shí)現(xiàn)v-model這個語法糖。

https://github.com/airyland/v...

修改 node_modules/element-ui/lib/element-ui.common.js文件
TreeStore.prototype.getCheckedKeys函數(shù)中的if（node.checked）改為
if (node.checked||node.indeterminate)