本文整理汇总了Python中lmfdb.WebNumberField.make_code_snippets方法的典型用法代码示例。如果您正苦于以下问题：Python WebNumberField.make_code_snippets方法的具体用法？Python WebNumberField.make_code_snippets怎么用？Python WebNumberField.make_code_snippets使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类lmfdb.WebNumberField的用法示例。
在下文中一共展示了WebNumberField.make_code_snippets方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: render_field_webpage
# 需要导入模块: from lmfdb import WebNumberField [as 别名]
# 或者: from lmfdb.WebNumberField import make_code_snippets [as 别名]
def render_field_webpage(args):
data = None
C = base.getDBConnection()
info = {}
bread = [("Global Number Fields", url_for(".number_field_render_webpage"))]
# This function should not be called unless label is set.
label = clean_input(args["label"])
nf = WebNumberField(label)
data = {}
if nf.is_null():
bread.append(("Search results", " "))
info["err"] = "There is no field with label %s in the database" % label2
info["label"] = args["label_orig"] if "label_orig" in args else args["label"]
return search_input_error(info, bread)
info["wnf"] = nf
from lmfdb.WebNumberField import nf_display_knowl
data["degree"] = nf.degree()
data["class_number"] = nf.class_number()
t = nf.galois_t()
n = nf.degree()
data["is_galois"] = nf.is_galois()
data["is_abelian"] = nf.is_abelian()
if nf.is_abelian():
conductor = nf.conductor()
data["conductor"] = conductor
dirichlet_chars = nf.dirichlet_group()
if len(dirichlet_chars) > 0:
data["dirichlet_group"] = [
'<a href = "%s">$\chi_{%s}(%s,·)$</a>'
% (
url_for("characters.render_Dirichletwebpage", modulus=data["conductor"], number=j),
data["conductor"],
j,
)
for j in dirichlet_chars
]
data["dirichlet_group"] = r"$\lbrace$" + ", ".join(data["dirichlet_group"]) + r"$\rbrace$"
if data["conductor"].is_prime() or data["conductor"] == 1:
data["conductor"] = "\(%s\)" % str(data["conductor"])
else:
data["conductor"] = "\(%s=%s\)" % (str(data["conductor"]), latex(data["conductor"].factor()))
data["galois_group"] = group_display_knowl(n, t, C)
data["cclasses"] = cclasses_display_knowl(n, t, C)
data["character_table"] = character_table_display_knowl(n, t, C)
data["class_group"] = nf.class_group()
data["class_group_invs"] = nf.class_group_invariants()
data["signature"] = nf.signature()
data["coefficients"] = nf.coeffs()
nf.make_code_snippets()
D = nf.disc()
ram_primes = D.prime_factors()
data["disc_factor"] = nf.disc_factored_latex()
if D.abs().is_prime() or D == 1:
data["discriminant"] = "\(%s\)" % str(D)
else:
data["discriminant"] = "\(%s=%s\)" % (str(D), data["disc_factor"])
npr = len(ram_primes)
ram_primes = str(ram_primes)[1:-1]
if ram_primes == "":
ram_primes = r"\textrm{None}"
data["frob_data"], data["seeram"] = frobs(nf.K())
data["phrase"] = group_phrase(n, t, C)
zk = nf.zk()
Ra = PolynomialRing(QQ, "a")
zk = [latex(Ra(x)) for x in zk]
zk = ["$%s$" % x for x in zk]
zk = ", ".join(zk)
grh_label = (
'<small>(<a title="assuming GRH" knowl="nf.assuming_grh">assuming GRH</a>)</small>' if nf.used_grh() else ""
)
# Short version for properties
grh_lab = nf.short_grh_string()
if "Not" in str(data["class_number"]):
grh_lab = ""
grh_label = ""
pretty_label = field_pretty(label)
if label != pretty_label:
pretty_label = "%s: %s" % (label, pretty_label)
info.update(data)
info.update(
{
"label": pretty_label,
"label_raw": label,
"polynomial": web_latex_split_on_pm(nf.K().defining_polynomial()),
"ram_primes": ram_primes,
"integral_basis": zk,
"regulator": web_latex(nf.regulator()),
"unit_rank": nf.unit_rank(),
"root_of_unity": web_latex(nf.K().primitive_root_of_unity()),
"fund_units": nf.units(),
"grh_label": grh_label,
}
)
bread.append(("%s" % info["label_raw"], " "))
info["downloads_visible"] = True
#.........这里部分代码省略.........