-- Testcases for functions in cmath.
--
-- Each line takes the form:
--
-- <testid> <function> <input_value> -> <output_value> <flags>
--
-- where:
--
-- <testid> is a short name identifying the test,
--
-- <function> is the function to be tested (exp, cos, asinh, ...),
--
-- <input_value> is a pair of floats separated by whitespace
-- representing real and imaginary parts of a complex number, and
--
-- <output_value> is the expected (ideal) output value, again
-- represented as a pair of floats.
--
-- <flags> is a list of the floating-point flags required by C99
--
-- The possible flags are:
--
-- divide-by-zero : raised when a finite input gives a
-- mathematically infinite result.
--
-- overflow : raised when a finite input gives a finite result whose
-- real or imaginary part is too large to fit in the usual range
-- of an IEEE 754 double.
--
-- invalid : raised for invalid inputs.
--
-- ignore-real-sign : indicates that the sign of the real part of
-- the result is unspecified; if the real part of the result is
-- given as inf, then both -inf and inf should be accepted as
-- correct.
--
-- ignore-imag-sign : indicates that the sign of the imaginary part
-- of the result is unspecified.
--
-- Flags may appear in any order.
--
-- Lines beginning with '--' (like this one) start a comment, and are
-- ignored. Blank lines, or lines containing only whitespace, are also
-- ignored.
-- The majority of the values below were computed with the help of
-- version 2.3 of the MPFR library for multiple-precision
-- floating-point computations with correct rounding. All output
-- values in this file are (modulo yet-to-be-discovered bugs)
-- correctly rounded, provided that each input and output decimal
-- floating-point value below is interpreted as a representation of
-- the corresponding nearest IEEE 754 double-precision value. See the
-- MPFR homepage at http://www.mpfr.org for more information about the
-- MPFR project.
--------------------------
-- acos: Inverse cosine --
--------------------------
-- zeros
acos0000 acos 0.0 0.0 -> 1.5707963267948966 -0.0
acos0001 acos 0.0 -0.0 -> 1.5707963267948966 0.0
acos0002 acos -0.0 0.0 -> 1.5707963267948966 -0.0
acos0003 acos -0.0 -0.0 -> 1.5707963267948966 0.0
-- branch points: +/-1
acos0010 acos 1.0 0.0 -> 0.0 -0.0
acos0011 acos 1.0 -0.0 -> 0.0 0.0
acos0012 acos -1.0 0.0 -> 3.1415926535897931 -0.0
acos0013 acos -1.0 -0.0 -> 3.1415926535897931 0.0
-- values along both sides of real axis
acos0020 acos -9.8813129168249309e-324 0.0 -> 1.5707963267948966 -0.0
acos0021 acos -9.8813129168249309e-324 -0.0 -> 1.5707963267948966 0.0
acos0022 acos -1e-305 0.0 -> 1.5707963267948966 -0.0
acos0023 acos -1e-305 -0.0 -> 1.5707963267948966 0.0
acos0024 acos -1e-150 0.0 -> 1.5707963267948966 -0.0
acos0025 acos -1e-150 -0.0 -> 1.5707963267948966 0.0
acos0026 acos -9.9999999999999998e-17 0.0 -> 1.5707963267948968 -0.0
acos0027 acos -9.9999999999999998e-17 -0.0 -> 1.5707963267948968 0.0
acos0028 acos -0.001 0.0 -> 1.5717963269615634 -0.0
acos0029 acos -0.001 -0.0 -> 1.5717963269615634 0.0
acos0030 acos -0.57899999999999996 0.0 -> 2.1882979816120667 -0.0
acos0031 acos -0.57899999999999996 -0.0 -> 2.1882979816120667 0.0
acos0032 acos -0.99999999999999989 0.0 -> 3.1415926386886319 -0.0
acos0033 acos -0.99999999999999989 -0.0 -> 3.1415926386886319 0.0
acos0034 acos -1.0000000000000002 0.0 -> 3.1415926535897931 -2.1073424255447014e-08
acos0035 acos -1.0000000000000002 -0.0 -> 3.1415926535897931 2.1073424255447014e-08
acos0036 acos -1.0009999999999999 0.0 -> 3.1415926535897931 -0.044717633608306849
acos0037 acos -1.0009999999999999 -0.0 -> 3.1415926535897931 0.044717633608306849
acos0038 acos -2.0 0.0 -> 3.1415926535897931 -1.3169578969248168
acos0039 acos -2.0 -0.0 -> 3.1415926535897931 1.3169578969248168
acos0040 acos -23.0 0.0 -> 3.1415926535897931 -3.8281684713331012
acos0041 acos -23.0 -0.0 -> 3.1415926535897931 3.8281684713331012
acos0042 acos -10000000000000000.0 0.0 -> 3.1415926535897931 -37.534508668464674
acos0043 acos -10000000000000000.0 -0.0 -> 3.1415926535897931 37.534508668464674
acos0044 acos -9.9999999999999998e+149 0.0 -> 3.1415926535897931 -346.08091112966679
acos0045 acos -9.9999999999999998e+149 -0.0 -> 3.1415926535897931 346.08091112966679
acos0046 acos -1.0000000000000001e+299 0.0 -> 3.1415926535897931 -689.16608998577965
acos0047 acos -1.0000000000000001e+299 -0.0 -> 3.1415926535897931 689.16608998577965
acos0048 acos 9.8813129168249309e-324 0.0 -> 1.5707963267948966 -0.0
acos0049 acos 9.8813129168249309e-324 -0.0 -> 1.5707963267948966 0.0
acos0050 acos 1e-305 0.0 -> 1.5707963267948966 -0.0
acos0051 acos 1e-305 -0.0 -> 1.5707963267948966 0.0
acos0052 acos 1e-150 0.0 -> 1.5707963267948966 -0.0
acos0053 acos 1e-150 -0.0 -> 1.5707963267948966 0.0
acos0054 acos 9.9999999999999998e-17 0.0 -> 1.5707963267948966 -0.0
acos0055 acos 9.9999999999999998e-17 -0.0 -> 1.5707963267948966 0.0
acos0056 acos 0.001 0.0 -> 1.56979632662823 -0.0
acos0057 acos 0.001 -0.0 -> 1.56979632662823 0.0
acos0058 acos 0.57899999999999996 0.0 -> 0.95329467197772655 -0.0
acos0059 acos 0.57899999999999996 -0.0 -> 0.95329467197772655 0.0
acos0060 acos 0.99999999999999989 0.0 -> 1.4901161193847656e-08 -0.0
acos0061 acos 0.99999999999999989 -0.0 -> 1.4901161193847656e-08 0.0
acos0062 acos 1.0000000000000002 0.0 -> 0.0 -2.1073424255447014e-08
acos0063 acos 1.0000000000000002 -0.0 -> 0.0 2.1073424255447014e-08
acos0064 acos 1.0009999999999999 0.0 -> 0.0 -0.044717633608306849
acos0065 acos 1.0009999999999999 -0.0 -> 0.0 0.044717633608306849
acos0066 acos 2.0 0.0 -> 0.0 -1.3169578969248168
acos0067 acos 2.0 -0.0 -> 0.0 1.3169578969248168
acos0068 acos 23.0 0.0 -> 0.0 -3.8281684713331012
acos0069 acos 23.0 -0.0 -> 0.0 3.8281684713331012
acos0070 acos 10000000000000000.0 0.0 -> 0.0 -37.534508668464674
acos0071 acos 10000000000000000.0 -0.0 -> 0.0 37.534508668464674
acos0072 acos 9.9999999999999998e+149 0.0 -> 0.0 -346.08091112966679
acos0073 acos 9.9999999999999998e+149 -0.0 -> 0.0 346.08091112966679
acos0074 acos 1.0000000000000001e+299 0.0 -> 0.0 -689.16608998577965
acos0075 acos 1.0000000000000001e+299 -0.0 -> 0.0 689.16608998577965
-- random inputs
acos0100 acos -3.3307113324596682 -10.732007530863266 -> 1.8706085694482339 3.113986806554613
acos0101 acos -2863.952991743291 -2681013315.2571239 -> 1.5707973950301699 22.402607843274758
acos0102 acos -0.33072639793220088 -0.85055464658253055 -> 1.8219426895922601 0.79250166729311966
acos0103 acos -2.5722325842097802 -12.703940809821574 -> 1.7699942413107408 3.2565170156527325
acos0104 acos -42.495233785459583 -0.54039320751337161 -> 3.1288732573153304 4.4424815519735601
acos0105 acos -1.1363818625856401 9641.1325498630376 -> 1.5709141948820049 -9.8669410553254284
acos0106 acos -2.4398426824157866e-11 0.33002051890266165 -> 1.570796326818066 -0.32430578041578667
acos0107 acos -1.3521340428186552 2.9369737912076772 -> 1.9849059192339338 -1.8822893674117942
acos0108 acos -1.827364706477915 1.0355459232147557 -> 2.5732246307960032 -1.4090688267854969
acos0109 acos -0.25978373706403546 10.09712669185833 -> 1.5963940386378306 -3.0081673050196063
acos0110 acos 0.33561778471072551 -4587350.6823999118 -> 1.5707962536333251 16.031960402579539
acos0111 acos 0.49133444610998445 -0.8071422362990015 -> 1.1908761712801788 0.78573345813187867
acos0112 acos 0.42196734507823974 -2.4812965431745115 -> 1.414091186100692 1.651707260988172
acos0113 acos 2.961426210100655 -219.03295695248664 -> 1.5572768319822778 6.0824659885827304
acos0114 acos 2.886209063652641 -20.38011207220606 -> 1.4302765252297889 3.718201853147642
acos0115 acos 0.4180568075276509 1.4833433990823484 -> 1.3393834558303042 -1.2079847758301576
acos0116 acos 52.376111405924718 0.013930429001941001 -> 0.00026601761804024188 -4.6515066691204714
acos0117 acos 41637948387.625969 1.563418292894041 -> 3.7547918507883548e-11 -25.145424989809381
acos0118 acos 0.061226659122249526 0.8447234394615154 -> 1.52
没有合适的资源?快使用搜索试试~ 我知道了~
Python-2.7.1.tgz
0 下载量 194 浏览量
2024-04-02
11:13:09
上传
评论
收藏 13.41MB TGZ 举报
温馨提示
共2000个文件
py:1657个
h:118个
c:105个
Python库是一组预先编写的代码模块,旨在帮助开发者实现特定的编程任务,无需从零开始编写代码。这些库可以包括各种功能,如数学运算、文件操作、数据分析和网络编程等。Python社区提供了大量的第三方库,如NumPy、Pandas和Requests,极大地丰富了Python的应用领域,从数据科学到Web开发。Python库的丰富性是Python成为最受欢迎的编程语言之一的关键原因之一。这些库不仅为初学者提供了快速入门的途径,而且为经验丰富的开发者提供了强大的工具,以高效率、高质量地完成复杂任务。例如,Matplotlib和Seaborn库在数据可视化领域内非常受欢迎,它们提供了广泛的工具和技术,可以创建高度定制化的图表和图形,帮助数据科学家和分析师在数据探索和结果展示中更有效地传达信息。
资源推荐
资源详情
资源评论
收起资源包目录
Python-2.7.1.tgz (2000个子文件)
unicodeobject.c 265KB
Python-ast.c 258KB
typeobject.c 203KB
ceval.c 148KB
stringobject.c 141KB
longobject.c 131KB
compile.c 109KB
ast.c 106KB
import.c 98KB
dictobject.c 97KB
listobject.c 88KB
bytearrayobject.c 88KB
bltinmodule.c 86KB
fileobject.c 84KB
abstract.c 81KB
dtoa.c 79KB
classobject.c 78KB
floatobject.c 76KB
setobject.c 70KB
obmalloc.c 67KB
object.c 66KB
exceptions.c 61KB
getargs.c 56KB
pythonrun.c 55KB
sysmodule.c 53KB
symtable.c 48KB
descrobject.c 45KB
intobject.c 45KB
graminit.c 42KB
pystrtod.c 39KB
marshal.c 38KB
complexobject.c 37KB
frameobject.c 32KB
weakrefobject.c 30KB
tupleobject.c 29KB
funcobject.c 27KB
_warnings.c 26KB
codecs.c 24KB
memoryobject.c 24KB
bufferobject.c 23KB
peephole.c 23KB
errors.c 22KB
pystate.c 19KB
codeobject.c 18KB
modsupport.c 16KB
structseq.c 16KB
mactoolboxglue.c 14KB
genobject.c 12KB
enumobject.c 12KB
methodobject.c 12KB
thread.c 11KB
rangeobject.c 11KB
sliceobject.c 11KB
structmember.c 10KB
bytes_methods.c 10KB
dynload_win.c 9KB
traceback.c 8KB
moduleobject.c 8KB
mystrtoul.c 8KB
pyctype.c 8KB
iterobject.c 8KB
boolobject.c 7KB
dynload_beos.c 7KB
capsule.c 7KB
pyarena.c 6KB
noddy3.c 6KB
dynload_aix.c 6KB
strtod.c 6KB
noddy4.c 5KB
noddy2.c 5KB
unicodectype.c 5KB
future.c 4KB
cobject.c 4KB
cellobject.c 4KB
dynload_next.c 4KB
dynload_shlib.c 4KB
getopt.c 3KB
mysnprintf.c 3KB
msisupport.c 3KB
shoddy.c 3KB
importdl.c 2KB
run-func.c 2KB
noddy.c 2KB
pymath.c 2KB
dynload_hpux.c 2KB
getcwd.c 2KB
frozenmain.c 1KB
asdl.c 1KB
frozen.c 1KB
dynload_atheos.c 1KB
dynload_os2.c 1KB
atof.c 1016B
dup2.c 705B
formatter_string.c 652B
pyfpe.c 623B
pystrcmp.c 613B
dynload_dl.c 561B
sigcheck.c 529B
formatter_unicode.c 512B
getcopyright.c 503B
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
程序员Chino的日记
- 粉丝: 2827
- 资源: 3万+
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 基于python部署fastsam的tensorrt模型源码.zip
- 【JavaScript】基于JSP的酒店客房管理系统源【源码+lw+部署文档+讲解】
- 综合电路设计-8赛道多功能运动秒表(vivado实现代码)
- java学习心得4000字.doc
- CarControl.pcf
- opencv-基于c++实现的opencv图像处理算法之gamma校正.zip
- java实习周记25篇.doc
- MI4450-VB一款SOP8封装N-Channel场效应MOS管
- opencv-基于c++实现的opencv图像处理算法之灰度变换算法.zip
- 实现用于Landmark检测+Robot跟踪的SLAM定位导航算法源码.zip
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功