-- 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.
-- A minority of the test cases were generated with the help of
-- mpmath 0.19 at 100 bit accuracy (http://mpmath.org) to improve
-- coverage of real functions with real-valued arguments. These are
-- used in test.test_math.MathTests.test_testfile, as well as in
-- test_cmath.
--------------------------
-- 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
没有合适的资源?快使用搜索试试~ 我知道了~
pypy3.8-v7.3.6rc2-src.zip
共2000个文件
py:1792个
txt:120个
xml:56个
0 下载量 59 浏览量
2024-03-26
21:13:48
上传
评论
收藏 30.15MB ZIP 举报
温馨提示
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
pypy3.8-v7.3.6rc2-src.zip (2000个子文件)
mpdecimal.c 226KB
io.c 42KB
_ctypes_test.c 22KB
basearith.c 17KB
transpose.c 7KB
fourstep.c 6KB
sixstep.c 6KB
difradix2.c 4KB
numbertheory.c 4KB
_testimportmultiple.c 1KB
_pydoc.css 96B
basearith.h 7KB
PyPy.h 2KB
vccompat.h 2KB
transpose.h 2KB
io.h 2KB
memory.h 2KB
convolute.h 2KB
sixstep.h 2KB
test_difflib_expect.html 101KB
help.html 67KB
sgml_input.html 8KB
README.md 1KB
README.md 1008B
README.md 439B
arch-translation.pdf 31KB
arch-jit-gen.pdf 29KB
arch-pypy-basic.pdf 27KB
translation.pdf 22KB
translation-greyscale-small.pdf 22KB
arch-impllevels.pdf 19KB
topics.py 670KB
datetimetester.py 240KB
test_socket.py 233KB
_pydecimal.py 223KB
test_decimal.py 208KB
test_email.py 207KB
test_ssl.py 203KB
test_descr.py 192KB
_test_multiprocessing.py 183KB
test_logging.py 183KB
test_argparse.py 173KB
__init__.py 165KB
test_io.py 165KB
test_buffer.py 160KB
test_inspect.py 153KB
test_os.py 151KB
test_xml_etree.py 149KB
test_subprocess.py 143KB
turtle.py 140KB
pickletester.py 136KB
test_unicode.py 130KB
test_codecs.py 130KB
test__header_value_parser.py 123KB
test_typing.py 122KB
test_fixers.py 120KB
inspect.py 117KB
test_zipfile.py 116KB
__init__.py 115KB
test_enum.py 114KB
test_dataclasses.py 109KB
test_tasks.py 107KB
test_statistics.py 106KB
test_re.py 106KB
_header_value_parser.py 104KB
pydoc.py 104KB
configdialog.py 103KB
doctest.py 102KB
test_itertools.py 102KB
test_shutil.py 102KB
test_events.py 100KB
request.py 99KB
test_doctest.py 99KB
test_tarfile.py 98KB
test_pathlib.py 97KB
mock.py 96KB
argparse.py 94KB
test_mailbox.py 92KB
tarfile.py 92KB
pickletools.py 91KB
_pyio.py 91KB
test_ipaddress.py 91KB
infinite_recursion.py 91KB
test_functools.py 91KB
datetime.py 90KB
test_ast.py 89KB
test_lzma.py 88KB
zipfile.py 86KB
test_configparser.py 85KB
test_collections.py 84KB
test_math.py 82KB
difflib.py 82KB
schema.py 80KB
test_builtin.py 79KB
test_base_events.py 78KB
test_http_cookiejar.py 78KB
subprocess.py 78KB
test_httplib.py 77KB
test_urllib2.py 77KB
mailbox.py 77KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
程序员Chino的日记
- 粉丝: 3722
- 资源: 5万+
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ssm的烯烃厂压力管道管理平台源码(java毕业设计完整源码+LW).zip
- 基于出行链的电动汽车空间负荷预测,MATLAB,有注释,方便初学者理解上手,此程序用来计算节点处电动汽车充电负荷,不是商业区,住宅区等注意区分 有参考文献
- 基于ssm的校园二手交易系统源码(java毕业设计完整源码).zip
- 不同颜色机器人检测51-YOLO(v5至v11)、COCO、CreateML、Paligemma、TFRecord、VOC数据集合集.rar
- Flutter待办事务
- 汇川H3U的一个比较完整的程序框架,已经用于实际的工程中 汇川的PLC还是性价比挺高,特别是对于伺服的总线 汇川主打的伺服控制是CANLINK总线 这个例子有4个总 线伺服轴,用的是轴控指令,还
- 基于ssm的新冠疫情下的校园出入系统源码(java毕业设计完整源码+LW).zip
- 123是的第三方地方的双方各
- 自用.jar123123123123132
- S7-1200 S7-1500 SCL 小实例-定时器灵活应用.mp4
- ip地址转换的介绍说明
- 基于ssm的学生信息管理系统源码(java毕业设计完整源码+LW).zip
- 一拖三恒压供水全套图纸程序 威纶通触摸屏 西门子s7-
- 基于ssm的医院门诊挂号系统源码(java毕业设计完整源码+LW).zip
- 基于Cascade算法的尺度函数与小波函数求解实例演示-附Matlab源程序.zip
- linux下gtags工具
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