Merge pull request PacktPublishing#4 from PacktPublishing/version_bump

Bump version numbers of dependencies

Author: slott56

.gitignore

@@ -158,3 +158,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+.idea/

Chapter06/ch06_ex1.py

@@ -50,7 +50,7 @@ def test_facti() -> None:
     assert facti(1000) == factorial(1000)
     assert facti(2000) == factorial(2000)
     if sys.version_info.minor > 10:
-        sys.set_int_max_str_digits(6000)  # type: ignore [attr-defined]
+        sys.set_int_max_str_digits(6000)
     assert len(str(facti(2000))) == 5736
 
 
@@ -82,7 +82,7 @@ def test_facts() -> None:
     assert fasts(1000) == factorial(1000)
     assert fasts(2000) == factorial(2000)
     if sys.version_info.minor > 10:
-        sys.set_int_max_str_digits(6000)  # type: ignore [attr-defined]
+        sys.set_int_max_str_digits(6000)
     assert len(str(fasts(2000))) == 5736
 
 

Chapter06/ch06_ex2.py

@@ -428,7 +428,7 @@ def test_mean_f() -> None:
     assert sum_x2(data_1) == approx(659.9762)
     assert mean_f(lambda x: True, data_1) == approx(7.5)
 
-    data_2: list[Any] = [None, None] + data_1[:5] + [None] + data_1[5:] + [None, None, None]  # type: ignore [operator]
+    data_2: list[Any] = [None, None] + data_1[:5] + [None] + data_1[5:] + [None, None, None]
     assert mean_f(lambda x: x is not None, data_2) == approx(7.5)
 
 

Chapter09/ch09_ex3.py

@@ -154,7 +154,7 @@ def test_num_cvt() -> None:
 from typing import Iterable, Iterator
 
 
-def convert(row_iter: Iterator[list[str]]) -> Union[Iterable[str], Iterable[float]]:
+def convert(row_iter: Iterator[list[str]]) -> Union[Iterable[tuple[str, ...]], Iterable[tuple[float, ...]]]:
     """
     >>> s3890= ['', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '', 'Per capita consumption of mozzarella cheese (US)Pounds (USDA)', '9.3', '9.7', '9.7', '9.7', '9.9', '10.2', '10.5', '11', '10.6', '10.6', '', 'Civil engineering doctorates awarded (US)Degrees awarded (National Science Foundation)', '480', '501', '540', '552', '547', '622', '655', '701', '712', '708', '', 'Correlation: 0.958648']
     >>> list(convert(column_data(s3890)))

Chapter10/ch10_ex2.py

@@ -58,18 +58,18 @@ class Card(tuple[str, int]):
     Suits = "\u2660", "\u2665", "\u2666", "\u2663"
     __slots__ = ()
 
-    def __new__(cls, rank: int, suit: str) -> "Card":
-        obj = super().__new__(
-            Card,
-            cast(
-                Iterable[Any],
-                [
-                    suit,
-                    rank,
-                ],
-            ),
-        )
-        return obj
+    def __new__(cls: type["Card"], rank: int, suit: str) -> "Card":
+        obj = super().__new__(  # type: ignore [type-var]
+                cls,
+                cast(
+                    Iterable[Any],
+                    [
+                        suit,
+                        rank,
+                    ],
+                ),
+            )
+        return cast(Card, obj)
 
     def __str__(self) -> str:
         return f"{self.rank:2d}{self.suit}"

Chapter12/ch12_ex1.py

@@ -363,18 +363,18 @@ def to_int(text: str, base: int = 10) -> int:
 FDT = TypeVar("FDT", bound=FloatFuncT)
 
 
-def normalized(mean: float, stdev: float) -> FDT:
+def normalized(mean: float, stdev: float) -> FloatFuncT:
     z_score: Callable[[float], float] = lambda x: (x - mean) / stdev
 
-    def concrete_decorator(function: FDT) -> FDT:
+    def concrete_decorator(function: FloatFuncT) -> FloatFuncT:
         @wraps(function)
         def wrapped(data_arg: Iterable[float]) -> Iterator[float]:
             z = map(z_score, data_arg)
             return function(z)
 
-        return cast(FDT, wrapped)
+        return cast(FloatFuncT, wrapped)
 
-    return cast(FDT, concrete_decorator)
+    return cast(FloatFuncT, concrete_decorator)
 
 
 REPL_normalized = """

README.md

@@ -29,7 +29,7 @@ We’ll presume some familiarity with functional programming. Since Python is no
 
 Some of the examples use exploratory data analysis (EDA) as a problem domain to show the value of functional programming. Some familiarity with basic probability and statistics will help with this. There are only a few examples that move into more serious data science.
 
-You’ll need to have Python 3.10 installed and running. 
+You’ll need to have Python 3.11 installed and running. 
 For more information on Python, visit http://www.python.org/. 
 
 There are two paths to installing the required packages:
@@ -47,7 +47,7 @@ After the **conda** tool is installed,
 the required packages can be installed using the following:
 
 ```bash
-conda create -n functional3 --channel=conda-forge  python=3.10 --file requirements-conda.txt
+conda create -n functional3 --channel=conda-forge  python=3.11 --file requirements-conda.txt
 conda activate functional3
 python -m pip install pymonad==2.4.0
 ```
@@ -114,4 +114,4 @@ $ tox -e ch01
 ### Download a free PDF
 
  <i>If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.<br>Simply click on the link to claim your free PDF.</i>
-<p align="center"> <a href="https://packt.link/free-ebook/9781803232577">https://packt.link/free-ebook/9781803232577 </a> </p>
+<p align="center"> <a href="https://packt.link/free-ebook/9781803232577">https://packt.link/free-ebook/9781803232577 </a> </p>

environment.yml

@@ -3,82 +3,81 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - attrs=21.4.0=pyhd8ed1ab_0
-  - beautifulsoup4=4.11.1=pyha770c72_0
-  - black=22.6.0=pyhd8ed1ab_0
+  - beautifulsoup4=4.12.2=pyha770c72_0
+  - black=23.3.0=py311h6eed73b_1
+  - blinker=1.6.2=pyhd8ed1ab_0
   - bzip2=1.0.8=h0d85af4_4
-  - ca-certificates=2022.6.15=h033912b_0
-  - click=8.1.3=py310h2ec42d9_0
-  - colorama=0.4.5=pyhd8ed1ab_0
-  - commonmark=0.9.1=py_0
-  - dataclasses=0.8=pyhc8e2a94_3
-  - distlib=0.3.5=pyhd8ed1ab_0
-  - filelock=3.7.1=pyhd8ed1ab_0
-  - flask=2.1.3=pyhd8ed1ab_0
-  - freetype=2.10.4=h4cff582_1
-  - future=0.18.2=py310h2ec42d9_5
-  - giflib=5.2.1=hbcb3906_2
-  - importlib-metadata=4.11.4=py310h2ec42d9_0
-  - iniconfig=1.1.1=pyh9f0ad1d_0
+  - ca-certificates=2023.5.7=h8857fd0_0
+  - cachetools=5.3.1=pyhd8ed1ab_0
+  - chardet=5.1.0=py311h6eed73b_0
+  - click=8.1.4=unix_pyh707e725_0
+  - colorama=0.4.6=pyhd8ed1ab_0
+  - distlib=0.3.6=pyhd8ed1ab_0
+  - exceptiongroup=1.1.2=pyhd8ed1ab_0
+  - filelock=3.12.2=pyhd8ed1ab_0
+  - flask=2.3.2=pyhd8ed1ab_0
+  - freetype=2.12.1=h3f81eb7_1
+  - importlib-metadata=6.8.0=pyha770c72_0
+  - importlib_metadata=6.8.0=hd8ed1ab_0
+  - iniconfig=2.0.0=pyhd8ed1ab_0
   - itsdangerous=2.1.2=pyhd8ed1ab_0
   - jinja2=3.1.2=pyhd8ed1ab_1
-  - jpeg=9e=hac89ed1_2
-  - lcms2=2.12=h577c468_0
-  - lerc=3.0=he49afe7_0
-  - libcxx=14.0.6=hce7ea42_0
-  - libdeflate=1.12=hac89ed1_0
+  - lcms2=2.15=h2dcdeff_1
+  - lerc=4.0.0=hb486fe8_0
+  - libcxx=16.0.6=hd57cbcb_0
+  - libdeflate=1.18=hac1461d_0
+  - libexpat=2.5.0=hf0c8a7f_1
   - libffi=3.4.2=h0d85af4_5
-  - libpng=1.6.37=h5a3d3bf_3
-  - libtiff=4.4.0=h9847915_1
-  - libwebp=1.2.3=hf64df63_1
-  - libwebp-base=1.2.3=hac89ed1_2
-  - libxcb=1.13=h0d85af4_1004
-  - libzlib=1.2.12=hfe4f2af_2
-  - lz4-c=1.9.3=he49afe7_1
-  - markupsafe=2.1.1=py310h1961e1f_1
-  - mypy_extensions=0.4.3=py310h2ec42d9_5
-  - ncurses=6.3=h96cf925_1
-  - openjpeg=2.4.0=h6e7aa92_1
-  - openssl=3.0.5=hfe4f2af_0
-  - packaging=21.3=pyhd8ed1ab_0
-  - pathspec=0.9.0=pyhd8ed1ab_0
-  - pillow=9.2.0=py310hb3240ae_0
-  - pip=22.2=pyhd8ed1ab_0
-  - platformdirs=2.5.2=pyhd8ed1ab_1
-  - pluggy=1.0.0=py310h2ec42d9_3
+  - libjpeg-turbo=2.1.5.1=hb7f2c08_0
+  - libpng=1.6.39=ha978bb4_0
+  - libsqlite=3.42.0=h58db7d2_0
+  - libtiff=4.5.1=hf955e92_0
+  - libwebp-base=1.3.1=h0dc2134_0
+  - libxcb=1.15=hb7f2c08_0
+  - libzlib=1.2.13=h8a1eda9_5
+  - markdown-it-py=3.0.0=pyhd8ed1ab_0
+  - markupsafe=2.1.3=py311h2725bcf_0
+  - mdurl=0.1.0=pyhd8ed1ab_0
+  - mypy=1.4.1=py311h2725bcf_0
+  - mypy_extensions=1.0.0=pyha770c72_0
+  - ncurses=6.4=hf0c8a7f_0
+  - openjpeg=2.5.0=h13ac156_2
+  - openssl=3.1.1=h8a1eda9_1
+  - packaging=23.1=pyhd8ed1ab_0
+  - pathspec=0.11.1=pyhd8ed1ab_0
+  - pillow=10.0.0=py311h7cb0e2d_0
+  - pip=23.1.2=pyhd8ed1ab_0
+  - platformdirs=3.8.1=pyhd8ed1ab_0
+  - pluggy=1.2.0=pyhd8ed1ab_0
+  - psutil=5.9.5=py311h5547dcb_0
   - pthread-stubs=0.4=hc929b4f_1001
-  - py=1.11.0=pyh6c4a22f_0
-  - pygments=2.12.0=pyhd8ed1ab_0
-  - pyparsing=3.0.9=pyhd8ed1ab_0
-  - pyrsistent=0.18.1=py310h1961e1f_1
-  - pytest=7.1.2=py310h2ec42d9_0
-  - python=3.10.5=hdd68b96_0_cpython
-  - python_abi=3.10=2_cp310
-  - pyyaml=6.0=py310h1961e1f_4
-  - readline=8.1.2=h3899abd_0
-  - rich=12.5.1=pyhd8ed1ab_0
-  - setuptools=63.2.0=py310h2ec42d9_0
-  - six=1.16.0=pyh6c4a22f_0
+  - pygments=2.15.1=pyhd8ed1ab_0
+  - pyproject-api=1.5.3=pyhd8ed1ab_0
+  - pyrsistent=0.19.3=py311h5547dcb_0
+  - pytest=7.4.0=pyhd8ed1ab_0
+  - python=3.11.4=h30d4d87_0_cpython
+  - python_abi=3.11=3_cp311
+  - pyyaml=6.0=py311h5547dcb_5
+  - readline=8.2=h9e318b2_1
+  - rich=13.4.2=pyhd8ed1ab_0
+  - setuptools=68.0.0=pyhd8ed1ab_0
   - soupsieve=2.3.2.post1=pyhd8ed1ab_0
-  - sqlite=3.39.2=hd9f0692_0
   - tk=8.6.12=h5dbffcc_0
-  - toml=0.10.2=pyhd8ed1ab_0
   - tomli=2.0.1=pyhd8ed1ab_0
   - toolz=0.12.0=pyhd8ed1ab_0
-  - tox=3.25.1=pyhd8ed1ab_0
-  - typed-ast=1.5.4=py310h6c45266_0
-  - types-pyyaml=6.0.11=pyhd8ed1ab_0
-  - typing_extensions=4.3.0=pyha770c72_0
-  - tzdata=2022a=h191b570_0
-  - virtualenv=20.16.1=py310h2ec42d9_0
-  - werkzeug=2.2.0=pyhd8ed1ab_0
-  - wheel=0.37.1=pyhd8ed1ab_0
-  - xorg-libxau=1.0.9=h35c211d_0
+  - tox=4.6.4=pyhd8ed1ab_0
+  - types-pyyaml=6.0.12=pyhd8ed1ab_0
+  - typing-extensions=4.7.1=hd8ed1ab_0
+  - typing_extensions=4.7.1=pyha770c72_0
+  - tzdata=2023c=h71feb2d_0
+  - virtualenv=20.23.1=pyhd8ed1ab_0
+  - werkzeug=2.3.6=pyhd8ed1ab_0
+  - wheel=0.40.0=pyhd8ed1ab_0
+  - xorg-libxau=1.0.11=h0dc2134_0
   - xorg-libxdmcp=1.1.3=h35c211d_0
-  - xz=5.2.5=haf1e3a3_1
+  - xz=5.2.6=h775f41a_0
   - yaml=0.2.5=h0d85af4_2
-  - zipp=3.8.0=pyhd8ed1ab_0
-  - zlib=1.2.12=hfe4f2af_2
-  - zstd=1.5.2=ha9df2e0_2
+  - zipp=3.16.0=pyhd8ed1ab_0
+  - zstd=1.5.2=h829000d_7
   - pip:
-    - pymonad==2.4.0
+      - pymonad==2.4.0

requirements-conda.txt

@@ -1,17 +1,18 @@
 # Used by conda to build an initial environment
-pillow==9.3.0
-beautifulsoup4==4.11.1
+pillow==10.0.0
+beautifulsoup4==4.12.2
 toolz==0.12.0
-pyrsistent==0.18.1
-rich==12.5.1
+pyrsistent==0.19.3
+rich==13.4.2
 pyyaml==6.0
-types-PyYAML==6.0.11
-mypy_extensions==0.4.3
-black==22.6.0
-flask==2.1.3
-tox==3.25.1
+types-PyYAML==6.0.12
+mypy_extensions==1.0.0
+black==23.3.0
+flask==2.3.2
+tox==4.6.4
 # Helpful to have this match tox.ini
-pytest==7.1.2
+pytest==7.4.0
+mypy==1.4.1
 # The following are not available in --channel=conda-forge
 # Use python -m pip install pymonad==2.4.0
 # pymonad==2.4.0 

requirements.txt

@@ -1,15 +1,16 @@
 # Used by TOX, but not by conda to build an initial environment
-pillow==9.3.0
-beautifulsoup4==4.11.1
-pymonad==2.4.0
+pillow==10.0.0
+beautifulsoup4==4.12.2
 toolz==0.12.0
-pyrsistent==0.18.1
-rich==12.5.1
+pyrsistent==0.19.3
+rich==13.4.2
 pyyaml==6.0
-types-PyYAML==6.0.11
-mypy_extensions==0.4.3
-black==22.6.0
-flask==2.1.3
-tox==3.25.1
+types-PyYAML==6.0.12
+mypy_extensions==1.0.0
+black==23.3.0
+flask==2.3.2
+tox==4.6.4
+pymonad==2.4.0
 # Helpful to have this match tox.ini
-pytest==7.1.2
+pytest==7.4.0
+mypy==1.4.1