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test_badges.py::test_badges <paragraph classes="tags"><inline>Tags: </inline><pending_xref classes="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary" refdoc="page_1" refdomain="" refexplicit="True" reftarget="_tags/tag-1" reftype="any" refwarn="True"><inline classes="xref any">tag-1</inline></pending_xref></paragraph>
<paragraph classes="tags"><inline>Tags: </inline><pending_xref classes="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary" refdoc="page_1" refdomain="" refexplicit="True" reftarget="_tags/tag-1" reftype="any" refwarn="True"><inline classes="xref any">tag-1</inline></pending_xref><inline> </inline><pending_xref classes="sd-sphinx-override sd-badge sd-bg-secondary sd-bg-text-secondary" refdoc="page_1" refdomain="" refexplicit="True" reftarget="_tags/tag-2" reftype="any" refwarn="True"><inline classes="xref any">tag-2</inline></pending_xref></paragraph>
<paragraph classes="tags"><inline>Tags: </inline><pending_xref classes="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text

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	validator function	# rcparams	rcParams
0	validate_bool	71	backend_fallback, interactive, webagg.open_in_browser, lines.antialiased, lines.scale_dashes, pcolormesh.snap, patch.force_edgecolor, patch.antialiased, boxplot.notch, boxplot.vertical, boxplot.patchartist, boxplot.showmeans, boxplot.showcaps, boxplot.showbox, boxplot.showfliers, boxplot.meanline, text.usetex, text.antialiased, text.parse_math, image.resample, image.composite_image, contour.corner_mask, axes.spines.left, axes.spines.right, axes.spines.bottom, axes.spines.top, axes.grid, axes.formatter.use_locale, axes.formatter.use_mathtext, axes.formatter.useoffset, axes.unicode_minus, polaraxes.grid, axes3d.grid, axes3d.automargin, 'date.interval_multiples', legend.fancybox, legend.shadow, legend.frameon, xtick.top, xtick.bottom, xtick.labeltop, xtick.labelbottom, xtick.minor.visible, xtick.minor.top, xtick.minor.bottom, xtick.major.top, xtick.major.bottom, ytick.left, ytick.right, ytic

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import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches


matplotlib.rc('axes',edgecolor='gray', labelcolor='gray')
matplotlib.rc('xtick', labelcolor='gray', color='gray')
matplotlib.rc('ytick', labelcolor='gray', color='gray')

fig, axes = plt.subplots(nrows=7, ncols=2,

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HTTP/1.1 200 OK
Accept-Ranges: bytes
Content-Length: 1415
X-GitHub-Request-Id: CF82:3736:92844B:184904F:5FA1C50C
X-Ratelimit-Limit: 60
X-Ratelimit-Remaining: 59
X-Ratelimit-Reset: 1604440860
X-Ratelimit-Used: 1
access-control-allow-origin: *
access-control-expose-headers: ETag, Link, Location, Retry-After, X-GitHub-OTP, X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Used, X-RateLimit-Reset, X-OAuth-Scopes, X-Accepted-OAuth-Scopes, X-Poll-Interval, X-GitHub-Media-Type, Deprecation, Sunset

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numpy
scipy
matplotlib
cartopy
netCDF4
xarray
pandas
geopandas
geoplot
scikit-image

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def to24(time):
  try:
    hour, minute, local = time.split(":")
  except (ValueError, AttributeError):
    return time

  h = int(hour)
  m = int(minute)
  
  if time.endswith('AM'):

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import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker

fig, ax = plt.subplots()
s = ax.scatter([0, .5, 1], [1, .5, 0], c=[1,2,3], 
               edgecolor='k', s=1000, zorder=10)
im = ax.matshow([[1,1,1],[2,2,2],[3,3,3]], cmap='RdBu')
fig.colorbar(s)
fig.colorbar(im)

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Using the code from chapter 10 (https://github.com/ccnycs/csc212/tree/master/code/chap10)

Implement:

1. the bt_class.template
2. A function that checks if the binary tree is a binary search tree:

bool isBST()

3. A function that checks if the binary tree is a max or min heap:

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Using the linked list class from homework 3, implement a queue class with the following methods:

1. push
2. pop
3. front
4. back

Then use that queue to solve the following problem:

Write a simulation program of the lines at a grocery store. The program will be similar to the car wash simulation, except that there