Project dependencies may have API risk issues

[PyDeps]

Hi, In musegan, inappropriate dependency versioning constraints can cause risks.

Below are the dependencies and version constraints that the project is using

setuptools==39.1.0
absl-py==0.4.1
astor==0.7.1
gast==0.2.0
grpcio==1.14.2
imageio==2.3.0
Markdown==2.6.11
mido==1.2.8
numpy==1.14.5
Pillow==5.2.0
pretty-midi==0.2.8
protobuf==3.6.1
pypianoroll==0.4.6
PyYAML==3.13
scipy==1.1.0
SharedArray==3.0.0
six==1.11.0
tensorboard==1.10.0
tensorflow-gpu==1.10.1
termcolor==1.1.0
Werkzeug==0.14.1

The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict.
The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.

After further analysis, in this project,
The version constraint of dependency imageio can be changed to >=1.1-linux32,<=2.19.3.
The version constraint of dependency numpy can be changed to >=1.8.0,<=1.23.0rc3.

The above modification suggestions can reduce the dependency conflicts as much as possible,
and introduce the latest version as much as possible without calling Error in the projects.

The invocation of the current project includes all the following methods.

The calling methods from the imageio

imageio.imwrite

The calling methods from the numpy

numpy.linalg.norm

The calling methods from the all methods

is_piano
segment_quality
args.input_dir.glob
ops.dense.get_shape
args.outfile.endswith
pprint.pformat
tensorflow.sqrt
tensorflow.reduce_mean.get_shape
get_metric_ops
musegan.utils.backup_src
tracks.append
tensorflow.assign_add
os.path.dirname
tensorflow.train.AdamOptimizer
tensorflow.variable_scope
tensorflow.maximum
pianoroll.set_shape
tensorflow.tile
pypianoroll.Track
tensorflow.truncated_normal_initializer
tensorflow.summary.scalar
tensorflow.norm
op.outputs.consumers.consumers
argparse.ArgumentParser.add_argument
tensorflow.layers.conv2d_transpose
musegan.config.SHUFFLE_BUFFER_SIZE.dataset.shuffle.repeat.batch.prefetch
is_string
tconv_layer
len
musegan.data.get_dataset.make_one_shot_iterator
update_not_none
tensorflow.zeros
setup
input
sys.exit
join
binary_ops.binary_stochastic_ST
numpy.pad
numpy.random.choice
shutil.copytree
diff.transpose.reshape
f.readline.split.strip
self.dis
musegan.config.SHUFFLE_BUFFER_SIZE.dataset.shuffle.repeat
numpy.errstate
pass_through_sigmoid
tensorflow.get_default_graph.gradient_override_map
numpy.arccos
musegan.utils.update_not_none
tensorflow.trainable_variables
tensorflow.get_collection
_array_to_image.items
numpy.roll
main
op.graph.get_operation_by_name
pianorolls.items
ok_segment_list.extend
binary_round
tensorflow.train.polynomial_decay
musegan.utils.load_component
_gen_data
f.readline.split
numpy.zeros
logging.FileHandler.setFormatter
_save_pianoroll
numpy.arange
musegan.io_utils.image_grid
numpy.prod
numpy.matmul
self.get_train_nodes
load_data_from_npy
tensorflow.pad.get_shape
polyphonic_rate
xv.flatten.flatten
song_ok_segments.append
tensorflow.transpose
_drum_pattern_mask
numpy.concatenate.nonzero
shutil.rmtree
scipy.stats.truncnorm.rvs
array.astype
tensorflow.expand_dims
op.outputs.consumers
tensorflow.python.framework.ops.name_scope
os.path.splitext
slerp
load_or_create_samples
argparse.ArgumentParser
tensorflow.nn.relu
tensorflow.reduce_mean
musegan.data.get_dataset
qualified_note_rate
ops.get_normalization
numpy.linspace
tensorflow.py_func
check_which_family
logging.FileHandler
numpy.diff.transpose
self.gen
binary_stochastic_REINFORCE
tensorflow.truncated_normal
musegan.model.Model
vars
numpy.sum
tensorflow.Variable
musegan.io_utils.vector_to_image
numpy.random.uniform
tensorflow.cast
tensorflow.reduce_sum
max
create_shared_array
yaml.safe_load
sum
tensorflow.get_default_graph.get_collection
conv_layer
os.path.basename
numpy.save
f.readline
tensorflow.train.Saver
numpy.concatenate
input.lower
is_guitar
tensorflow.group
numpy.load
numpy.product
SharedArray.attach
musegan.metrics.get_save_metric_ops
tensorflow.round
musegan.data.load_data
numpy.reshape
tensorflow.matmul
logging.getLogger.info
data.astype.astype
dict2.items
_save_array
SharedArray.delete
empty_bar_rate
numpy.dot
_scale_mask
params.load_component
_to_tonal_space
musegan.config.SHUFFLE_BUFFER_SIZE.dataset.shuffle.repeat.batch
range
tensorflow.constant.reshape
numpy.expand_dims
random_transpose
get_n_params
numpy.cos
tensorflow.shape
ops.conv3d
musegan.io_utils.pianoroll_to_image
save_array_ops.append
int
pianoroll.squeeze.clip.reshape
is_bass
numpy.reshape.astype
tensor_logger_values.items
list
_save_colored_images
tensorflow.assign
numpy.tile
tensorflow.layers.dense
musegan.config.SHUFFLE_BUFFER_SIZE.dataset.shuffle.repeat.batch.shuffle
logging.basicConfig
to_chroma
tensorflow.count_nonzero
tensorflow.control_dependencies
arrays.items
tensorflow.data.Dataset.from_generator
_save_images
tensorflow.losses.sigmoid_cross_entropy
save_image_ops.append
musegan.utils.load_yaml
numpy.random.randint
imageio.imwrite
tensorflow.square
SharedArray.create
os.path.realpath
tensorflow.train.NanTensorHook
tensorflow.get_default_graph.add_to_collection
musegan.data.get_samples
tensorflow.ones
numpy.pad.reshape
numpy.array
os.path.join
numpy.empty
l_bar.get_shape
os.makedirs
_array_to_image
l_bar.get_shape.as_list
tensorflow.python.framework.ops.RegisterGradient
_save_image_grid
musegan.utils.make_sure_path_exists
tensorflow.constant_initializer
loss_fn
logging.getLogger
numpy.transpose
format
array.reshape
enumerate
norm
ops.dense
sess.should_stop
numpy.diff
ops.tconv3d
importlib.import_module
numpy.random.permutation
numpy.count_nonzero
os.path.exists
pypianoroll.Multitrack
zip
set_pianoroll_shape
tensorflow.random_uniform
tensorflow.placeholder
logger.addHandler
name.startswith
tensorflow.reduce_any
numpy.savez_compressed
open
numpy.flip
tensorflow.ceil
filepath.endswith
diff.transpose.reshape.nonzero
ACTIVATION
add_file_handler
tensorflow.gradients
_qualified_note_rate
params.get
get_input_z
tensorflow.reshape
sess.run
numpy.sin
n_pitches_used
in_scale_rate
open.close
dataset.make_one_shot_iterator.get_next
tensorflow.add_to_collection
str
getattr
tensorflow.train.global_step
numpy.copyto
tensorflow.as_string
tensorflow.train.MonitoredTrainingSession
numpy.issubdtype
bernoulli_sample
self.get_predict_nodes
tensorflow.constant
tensorflow.Session
tensorflow.ConfigProto
tensorflow.layers.conv3d
_get_filepath
TypeError
is_instr_act
musegan.io_utils.save_pianoroll
musegan.losses.get_adv_losses
tensorflow.ones_like
setup_dirs
numpy.linalg.norm
logging.FileHandler.setLevel
binary_stochastic_ST
tensorflow.concat
yv.flatten.flatten
tensorflow.sigmoid
tensorflow.reshape.astype
tensorflow.cond
ValueError
numpy.repeat
var.get_shape
numpy.where
_tonal_matrix
tensorflow.train.get_or_create_global_step
harmonicity
tensorflow.train.Saver.restore
musegan.utils.load_yaml.get
shutil.ignore_patterns
op.graph.get_collection.get
tensorflow.train.get_global_step
pianoroll.squeeze.clip
logging.Logger.manager.loggerDict.keys
print
tensorflow.layers.conv3d_transpose
load_yaml
open.write
argparse.ArgumentParser.parse_args
drum_in_pattern_rate
numpy.append
set_label_shape
load_training_data
tensorflow.get_variable
parse_arguments
compiled_list.append
tensorflow.layers.batch_normalization
tensorflow.zeros_like
musegan.utils.setup_loggers
pianorolls.append
args.input_dir.rglob
logging.Formatter
pianoroll.squeeze.clip.astype
op.graph.get_collection
array.astype.astype
label.set_shape
pypianoroll.Multitrack.save
tensorflow.gradients.get_shape
tensorflow.pad
lerp
tensorflow.train.AdamOptimizer.minimize
musegan.config.SHUFFLE_BUFFER_SIZE.dataset.shuffle.repeat.batch.map
tensorflow.layers.conv2d
pianoroll.squeeze.clip.squeeze
load_data_from_npz
get_scheduled_variable
tensorflow.get_default_graph
tensorflow.name_scope
save_pianoroll_ops.append
tensor.get_shape
model
numpy.meshgrid
tensorflow.nn.tanh
map
get_metric_ops.items

@developer
Could please help me check this issue?
May I pull a request to fix it?
Thank you very much.