Иногда нужно выполнить блок кода с несколькими менеджерами контекста:
with open('f') as f: with open('g') as g: with open('h') as h: pass
Начиная с Python 2.7 и 3.1, это можно записать в одной конструкции with:
o = open with o('f') as f, o('g') as g, o('h') as h: pass
Раньше для этого использовали функцию contextlib.nested:
with nested(o('f'), o('g'), o('h')) as (f, g, h): pass
Если же число менеджеров контекста заранее неизвестно, лучше подойдёт более продвинутый инструмент. contextlib.ExitStack позволяет открывать любое число контекстов в произвольный момент, но гарантирует корректный выход из них в конце:
with ExitStack() as stack: f = stack.enter_context(o('f')) g = stack.enter_context(o('g')) other = [ stack.enter_context(o(filename)) for filename in filenames ]
Иногда нужно выполнить блок кода с несколькими менеджерами контекста:
with open('f') as f: with open('g') as g: with open('h') as h: pass
Начиная с Python 2.7 и 3.1, это можно записать в одной конструкции with:
o = open with o('f') as f, o('g') as g, o('h') as h: pass
Раньше для этого использовали функцию contextlib.nested:
with nested(o('f'), o('g'), o('h')) as (f, g, h): pass
Если же число менеджеров контекста заранее неизвестно, лучше подойдёт более продвинутый инструмент. contextlib.ExitStack позволяет открывать любое число контекстов в произвольный момент, но гарантирует корректный выход из них в конце:
with ExitStack() as stack: f = stack.enter_context(o('f')) g = stack.enter_context(o('g')) other = [ stack.enter_context(o(filename)) for filename in filenames ]
At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
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