Datasets:
thisisanshgupta
/
Pycode

Dataset card Data Studio Files Community
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query = {""output"": ""json"", ""user_credentials"": self.api_key}
resp = requests.get(
""%sdownload/%s"" % (self._url, download_key),
params=query,
timeout=self._timeout,
)
if raise_exception_on_failure and resp.status_code != 200:
raise DocumentDownloadFailure(resp.content, resp.status_code)
return resp"
243,"def merge_INIConf(a, b):
""""""用 b 的内容覆盖 a 的内容（若重名），并返回 a
""""""
for sname in b.sections():
if a.has_section(sname):
for oname in b.options(sname):
a[sname][oname] = b[sname][oname]
else:
a[sname] = b[sname]
return a"
244,"def copy_from_dict(self, adict, parent=None):
""""""从一个已经存在的 dict 中复制所有的值。
:param adict: 被复制的 dict。
:type adict: dict
:param parent: 复制到哪个父对象。
若为 None 则复制到 self 。
:type parent: rookout.PYConf
""""""
if not parent:
parent = self
for k,v in adict.items():
if isinstance(v, dict):
vDict = PYConf(v)
self.copy_from_dict(v, vDict)
parent[k] = vDict
else:
parent[k] = v"
245,"def dump(self, human=False):
""""""将自身内容打印成字符串
:param bool human: 若值为 True ，则打印成易读格式。
""""""
txt = str(self)
if human:
txt = txt.replace("", '"", "",\n'"")
txt = txt.replace(""{"", ""{\n"")
txt = txt.replace(""}"", ""\n}"")
txt = txt.replace(""["", ""[\n"")
txt = txt.replace(""]"", ""\n]"")
return txt"
246,"def save_to_file(self, path, human=True):
""""""将自身内容保存到文件。
:param str path: 保存的文件路径。
:param bool human: 参见 :func:`dump()`
""""""
write_file(path, self.dump(human))
slog.info(""Save %a done."", path)"
247,"def read_from_file(self, path):
""""""从一个文本文件中读入信息。
假设该文本文件的格式与 :func:`dump()` 相同。
:param str path: 待读入的文件路径。
""""""
if not os.path.exists(path):
slog.warning(""The file %s is not exist."", path)
return False
txt = read_file(path)
dic = eval(txt)
self.copy_from_dict(dic)
return True"
248,"def _set_parameters(self, parameters):
""""""Sort out the various possible parameter inputs and return a config
object (dict)
We have multiple input formats:
1) a list, tuple, or numpy.ndarray, containing the linear parameters
in the following order:
* for single term: rho0, m1, tau1, c1
* for multiple termss: rho0, m1, m2, ..., tau1, tau2, ..., c1, c2, ...
2) a dictionary with the entries ""rho0"", ""m"", ""tau"", ""c""
2b) if the dictionary entries for ""m"", ""tau"", and ""c"" are lists, the
entries correspond to mulitple polarisazion terms
""""""
nr_f = self.f.size
# sort out parameters
rho0, m, tau, c = self._sort_parameters(parameters)
newsize = (nr_f, len(m))
# rho0_resized = np.resize(rho0, newsize)