Merge pull request #241 from microsoft/master

merge master

examples/trials/nas_cifar10/config_paiYarn_ppo.yml

-authorName: Unknown
-experimentName: enas_macro
-trialConcurrency: 20
-maxExecDuration: 2400h
-maxTrialNum: 20000
-#choice: local, remote
-trainingServicePlatform: paiYarn
-#choice: true, false
-useAnnotation: true
-multiPhase: false
-versionCheck: false
-nniManagerIp: 0.0.0.0
-tuner:
-  builtinTunerName: PPOTuner
-  classArgs:
-    optimize_mode: maximize
-    trials_per_update: 60
-    epochs_per_update: 20
-    minibatch_size: 6
-trial:
-  command: sh ./macro_cifar10_pai.sh
-  codeDir: ./
-  gpuNum: 1
-  cpuNum: 1
-  memoryMB: 8196
-  image: msranni/nni:latest
-  virtualCluster: nni
-paiYarnConfig:
-  userName: your_account
-  passWord: your_passwd
-  host: 0.0.0.0

examples/trials/nas_cifar10/config_pai_ppo.yml

-authorName: Unknown
-experimentName: enas_macro
-trialConcurrency: 20
-maxExecDuration: 2400h
-maxTrialNum: 20000
-#choice: local, remote
-trainingServicePlatform: pai
-#choice: true, false
-useAnnotation: true
-multiPhase: false
-versionCheck: false
-nniManagerIp: 0.0.0.0
-tuner:
-  builtinTunerName: PPOTuner
-  classArgs:
-    optimize_mode: maximize
-    trials_per_update: 60
-    epochs_per_update: 20
-    minibatch_size: 6
-trial:
-  command: sh ./macro_cifar10_pai.sh
-  codeDir: ./
-  gpuNum: 1
-  cpuNum: 1
-  memoryMB: 8196
-  image: msranni/nni:latest
-  virtualCluster: nni
-  nniManagerNFSMountPath: /home/user/mnt
-  containerNFSMountPath: /mnt/data/user
-  paiStoragePlugin: team_wise
-paiConfig:
-  userName: your_account
-  token: your_token
-  host: 0.0.0.0

examples/trials/nas_cifar10/config_ppo.yml

-authorName: Unknown
-experimentName: enas_macro
-trialConcurrency: 4
-maxExecDuration: 2400h
-maxTrialNum: 20000
-#choice: local, remote
-trainingServicePlatform: local
-#choice: true, false
-useAnnotation: true
-multiPhase: false
-tuner:
-  builtinTunerName: PPOTuner
-  classArgs:
-    optimize_mode: maximize
-    trials_per_update: 60
-    epochs_per_update: 12
-    minibatch_size: 10
-  #could use the No. 0 gpu for this tuner
-  #if want to specify multiple gpus, here is an example of specifying three gpus: 0,1,2
-  gpuIndices: 0
-trial:
-  command: sh ./macro_cifar10.sh
-  codeDir: ./
-  gpuNum: 1

examples/trials/nas_cifar10/data/download.sh

-wget https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
-tar xzf cifar-10-python.tar.gz && mv cifar-10-batches-py cifar10
\ No newline at end of file

examples/trials/nas_cifar10/macro_cifar10.sh

-#!/bin/bash
-set -e
-export PYTHONPATH="$(pwd)"
-
-python3 src/cifar10/nni_child_cifar10.py \
-  --data_format="NCHW" \
-  --search_for="macro" \
-  --reset_output_dir \
-  --data_path="data/cifar10" \
-  --output_dir="outputs" \
-  --train_data_size=45000 \
-  --batch_size=100 \
-  --num_epochs=8 \
-  --log_every=50 \
-  --eval_every_epochs=1 \
-  --child_use_aux_heads \
-  --child_num_layers=12 \
-  --child_out_filters=36 \
-  --child_l2_reg=0.0002 \
-  --child_num_branches=6 \
-  --child_num_cell_layers=5 \
-  --child_keep_prob=0.50 \
-  --child_drop_path_keep_prob=0.60 \
-  --child_lr_cosine \
-  --child_lr_max=0.05 \
-  --child_lr_min=0.001 \
-  --child_lr_T_0=10 \
-  --child_lr_T_mul=2 \
-  --child_mode="subgraph" \
-  "$@"
-

examples/trials/nas_cifar10/macro_cifar10_pai.sh

-#!/bin/bash
-set -e
-export PYTHONPATH="$(pwd)"
-
-python3 src/cifar10/nni_child_cifar10.py \
-  --data_format="NCHW" \
-  --search_for="macro" \
-  --reset_output_dir \
-  --data_path="data/cifar10" \
-  --output_dir="outputs" \
-  --train_data_size=45000 \
-  --batch_size=100 \
-  --num_epochs=30 \
-  --log_every=50 \
-  --eval_every_epochs=1 \
-  --child_use_aux_heads \
-  --child_num_layers=12 \
-  --child_out_filters=36 \
-  --child_l2_reg=0.0002 \
-  --child_num_branches=6 \
-  --child_num_cell_layers=5 \
-  --child_keep_prob=0.50 \
-  --child_drop_path_keep_prob=0.60 \
-  --child_lr_cosine \
-  --child_lr_max=0.05 \
-  --child_lr_min=0.001 \
-  --child_lr_T_0=10 \
-  --child_lr_T_mul=2 \
-  --child_mode="subgraph" \
-  "$@"
-

examples/trials/nas_cifar10/src/cifar10/data_utils.py

-import os
-import sys
-import pickle
-import numpy as np
-import tensorflow as tf
-
-
-def _read_data(data_path, train_files):
-    """Reads CIFAR-10 format data. Always returns NHWC format.
-
-    Returns:
-        images: np tensor of size [N, H, W, C]
-        labels: np tensor of size [N]
-    """
-    images, labels = [], []
-    for file_name in train_files:
-        print(file_name)
-        full_name = os.path.join(data_path, file_name)
-        with open(full_name, "rb") as finp:
-            data = pickle.load(finp, encoding='latin1')
-            batch_images = data["data"].astype(np.float32) / 255.0
-            batch_labels = np.array(data["labels"], dtype=np.int32)
-            images.append(batch_images)
-            labels.append(batch_labels)
-    images = np.concatenate(images, axis=0)
-    labels = np.concatenate(labels, axis=0)
-    images = np.reshape(images, [-1, 3, 32, 32])
-    images = np.transpose(images, [0, 2, 3, 1])
-
-    return images, labels
-
-
-def read_data(data_path, num_valids=5000):
-    print("-" * 80)
-    print("Reading data")
-
-    images, labels = {}, {}
-
-    train_files = [
-        "data_batch_1",
-        "data_batch_2",
-        "data_batch_3",
-        "data_batch_4",
-        "data_batch_5",
-    ]
-    test_file = [
-        "test_batch",
-    ]
-    images["train"], labels["train"] = _read_data(data_path, train_files)
-
-    if num_valids:
-        images["valid"] = images["train"][-num_valids:]
-        labels["valid"] = labels["train"][-num_valids:]
-
-        images["train"] = images["train"][:-num_valids]
-        labels["train"] = labels["train"][:-num_valids]
-    else:
-        images["valid"], labels["valid"] = None, None
-
-    images["test"], labels["test"] = _read_data(data_path, test_file)
-
-    print("Prepropcess: [subtract mean], [divide std]")
-    mean = np.mean(images["train"], axis=(0, 1, 2), keepdims=True)
-    std = np.std(images["train"], axis=(0, 1, 2), keepdims=True)
-
-    print("mean: {}".format(np.reshape(mean * 255.0, [-1])))
-    print("std: {}".format(np.reshape(std * 255.0, [-1])))
-
-    images["train"] = (images["train"] - mean) / std
-    if num_valids:
-        images["valid"] = (images["valid"] - mean) / std
-    images["test"] = (images["test"] - mean) / std
-
-    return images, labels

examples/trials/nas_cifar10/src/cifar10/general_child.py

-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-import numpy as np
-import tensorflow as tf
-from src.common_ops import create_weight, batch_norm, batch_norm_with_mask, global_avg_pool, conv_op, pool_op
-from src.utils import count_model_params, get_train_ops, get_C, get_strides
-from src.cifar10.models import Model
-
-
-class GeneralChild(Model):
-    def __init__(self,
-                 images,
-                 labels,
-                 cutout_size=None,
-                 fixed_arc=None,
-                 out_filters_scale=1,
-                 num_layers=2,
-                 num_branches=6,
-                 out_filters=24,
-                 keep_prob=1.0,
-                 batch_size=32,
-                 clip_mode=None,
-                 grad_bound=None,
-                 l2_reg=1e-4,
-                 lr_init=0.1,
-                 lr_dec_start=0,
-                 lr_dec_every=10000,
-                 lr_dec_rate=0.1,
-                 lr_cosine=False,
-                 lr_max=None,
-                 lr_min=None,
-                 lr_T_0=None,
-                 lr_T_mul=None,
-                 optim_algo=None,
-                 sync_replicas=False,
-                 num_aggregate=None,
-                 num_replicas=None,
-                 data_format="NHWC",
-                 name="child",
-                 mode="subgraph",
-                 *args,
-                 **kwargs
-                 ):
-
-        super(self.__class__, self).__init__(
-            images,
-            labels,
-            cutout_size=cutout_size,
-            batch_size=batch_size,
-            clip_mode=clip_mode,
-            grad_bound=grad_bound,
-            l2_reg=l2_reg,
-            lr_init=lr_init,
-            lr_dec_start=lr_dec_start,
-            lr_dec_every=lr_dec_every,
-            lr_dec_rate=lr_dec_rate,
-            keep_prob=keep_prob,
-            optim_algo=optim_algo,
-            sync_replicas=sync_replicas,
-            num_aggregate=num_aggregate,
-            num_replicas=num_replicas,
-            data_format=data_format,
-            name=name)
-
-        self.lr_cosine = lr_cosine
-        self.lr_max = lr_max
-        self.lr_min = lr_min
-        self.lr_T_0 = lr_T_0
-        self.lr_T_mul = lr_T_mul
-        self.out_filters = out_filters * out_filters_scale
-        self.num_layers = num_layers
-        self.mode = mode
-
-        self.num_branches = num_branches
-        self.fixed_arc = fixed_arc
-        self.out_filters_scale = out_filters_scale
-
-        pool_distance = self.num_layers // 3
-        self.pool_layers = [pool_distance - 1, 2 * pool_distance - 1]
-
-
-
-    def _factorized_reduction(self, x, out_filters, stride, is_training):
-        """Reduces the shape of x without information loss due to striding."""
-        assert out_filters % 2 == 0, (
-            "Need even number of filters when using this factorized reduction.")
-        if stride == 1:
-            with tf.variable_scope("path_conv"):
-                inp_c = get_C(x, self.data_format)
-                w = create_weight("w", [1, 1, inp_c, out_filters])
-                x = tf.nn.conv2d(x, w, [1, 1, 1, 1], "SAME",
-                                 data_format=self.data_format)
-                x = batch_norm(x, is_training, data_format=self.data_format)
-                return x
-
-        stride_spec = get_strides(stride, self.data_format)
-        # Skip path 1
-        path1 = tf.nn.avg_pool(
-            x, [1, 1, 1, 1], stride_spec, "VALID", data_format=self.data_format)
-        with tf.variable_scope("path1_conv"):
-            inp_c = get_C(path1, self.data_format)
-            w = create_weight("w", [1, 1, inp_c, out_filters // 2])
-            path1 = tf.nn.conv2d(path1, w, [1, 1, 1, 1], "SAME",
-                                 data_format=self.data_format)
-
-        # Skip path 2
-        # First pad with 0"s on the right and bottom, then shift the filter to
-        # include those 0"s that were added.
-        if self.data_format == "NHWC":
-            pad_arr = [[0, 0], [0, 1], [0, 1], [0, 0]]
-            path2 = tf.pad(x, pad_arr)[:, 1:, 1:, :]
-            concat_axis = 3
-        else:
-            pad_arr = [[0, 0], [0, 0], [0, 1], [0, 1]]
-            path2 = tf.pad(x, pad_arr)[:, :, 1:, 1:]
-            concat_axis = 1
-
-        path2 = tf.nn.avg_pool(
-            path2, [1, 1, 1, 1], stride_spec, "VALID", data_format=self.data_format)
-        with tf.variable_scope("path2_conv"):
-            inp_c = get_C(path2, self.data_format)
-            w = create_weight("w", [1, 1, inp_c, out_filters // 2])
-            path2 = tf.nn.conv2d(path2, w, [1, 1, 1, 1], "SAME",
-                                 data_format=self.data_format)
-
-        # Concat and apply BN
-        final_path = tf.concat(values=[path1, path2], axis=concat_axis)
-        final_path = batch_norm(final_path, is_training,
-                                data_format=self.data_format)
-
-        return final_path
-
-    def _model(self, images, is_training, reuse=False):
-        '''Build model'''
-        with tf.variable_scope(self.name, reuse=reuse):
-            layers = []
-
-            out_filters = self.out_filters
-            with tf.variable_scope("stem_conv"):
-                w = create_weight("w", [3, 3, 3, out_filters])
-                x = tf.nn.conv2d(
-                    images, w, [1, 1, 1, 1], "SAME", data_format=self.data_format)
-                x = batch_norm(x, is_training, data_format=self.data_format)
-                layers.append(x)
-
-            def add_fixed_pooling_layer(layer_id, layers, out_filters, is_training):
-                '''Add a fixed pooling layer every four layers'''
-                out_filters *= 2
-                with tf.variable_scope("pool_at_{0}".format(layer_id)):
-                    pooled_layers = []
-                    for i, layer in enumerate(layers):
-                        with tf.variable_scope("from_{0}".format(i)):
-                            x = self._factorized_reduction(
-                                layer, out_filters, 2, is_training)
-                        pooled_layers.append(x)
-                    return pooled_layers, out_filters
-
-            def post_process_out(out, optional_inputs):
-                '''Form skip connection and perform batch norm'''
-                with tf.variable_scope("skip"):
-                    inputs = layers[-1]
-                    if self.data_format == "NHWC":
-                        inp_h = inputs.get_shape()[1].value
-                        inp_w = inputs.get_shape()[2].value
-                        inp_c = inputs.get_shape()[3].value
-                        out.set_shape([None, inp_h, inp_w, out_filters])
-                    elif self.data_format == "NCHW":
-                        inp_c = inputs.get_shape()[1].value
-                        inp_h = inputs.get_shape()[2].value
-                        inp_w = inputs.get_shape()[3].value
-                        out.set_shape([None, out_filters, inp_h, inp_w])
-                    optional_inputs.append(out)
-                    pout = tf.add_n(optional_inputs)
-                    out = batch_norm(pout, is_training,
-                                     data_format=self.data_format)
-                layers.append(out)
-                return out
-
-            global layer_id
-            layer_id = -1
-
-            def get_layer_id():
-                global layer_id
-                layer_id += 1
-                return 'layer_' + str(layer_id)
-
-            def conv3(inputs):
-                # res_layers is pre_layers that are chosen to form skip connection
-                # layers[-1] is always the latest input
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_0'):
-                        out = conv_op(
-                            inputs[0][0], 3, is_training, out_filters, out_filters, self.data_format, start_idx=None)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            def conv3_sep(inputs):
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_1'):
-                        out = conv_op(
-                            inputs[0][0], 3, is_training, out_filters, out_filters, self.data_format, start_idx=None, separable=True)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            def conv5(inputs):
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_2'):
-                        out = conv_op(
-                            inputs[0][0], 5, is_training, out_filters, out_filters, self.data_format, start_idx=None)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            def conv5_sep(inputs):
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_3'):
-                        out = conv_op(
-                            inputs[0][0], 5, is_training, out_filters, out_filters, self.data_format, start_idx=None, separable=True)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            def avg_pool(inputs):
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_4'):
-                        out = pool_op(
-                            inputs[0][0], is_training, out_filters, out_filters, "avg", self.data_format, start_idx=None)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            def max_pool(inputs):
-                with tf.variable_scope(get_layer_id()):
-                    with tf.variable_scope('branch_5'):
-                        out = pool_op(
-                            inputs[0][0], is_training, out_filters, out_filters, "max", self.data_format, start_idx=None)
-                    out = post_process_out(out, inputs[1])
-                return out
-
-            """@nni.mutable_layers(
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs:[x],
-                layer_output: layer_0_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs:[layer_0_out],
-                optional_inputs: [layer_0_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_1_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs:[layer_1_out],
-                optional_inputs: [layer_0_out, layer_1_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_2_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs:[layer_2_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_3_out
-            }
-            )"""
-            layers, out_filters = add_fixed_pooling_layer(
-                3, layers, out_filters, is_training)
-            layer_0_out, layer_1_out, layer_2_out, layer_3_out = layers[-4:]
-            """@nni.mutable_layers(
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_3_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_4_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_4_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_5_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_5_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_6_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_6_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_7_out
-            }
-            )"""
-            layers, out_filters = add_fixed_pooling_layer(
-                7, layers, out_filters, is_training)
-            layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out, layer_7_out = layers[
-                -8:]
-            """@nni.mutable_layers(
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_7_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out, layer_7_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_8_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_8_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out, layer_7_out, layer_8_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_9_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs: [layer_9_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out, layer_7_out, layer_8_out, layer_9_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_10_out
-            },
-            {
-                layer_choice: [conv3(), conv3_sep(), conv5(), conv5_sep(), avg_pool(), max_pool()],
-                fixed_inputs:[layer_10_out],
-                optional_inputs: [layer_0_out, layer_1_out, layer_2_out, layer_3_out, layer_4_out, layer_5_out, layer_6_out, layer_7_out, layer_8_out, layer_9_out, layer_10_out],
-                optional_input_size: [0, 1],
-                layer_output: layer_11_out
-            }
-            )"""
-
-            x = global_avg_pool(layer_11_out, data_format=self.data_format)
-            if is_training:
-                x = tf.nn.dropout(x, self.keep_prob)
-            with tf.variable_scope("fc"):
-                if self.data_format == "NHWC":
-                    inp_c = x.get_shape()[3].value
-                elif self.data_format == "NCHW":
-                    inp_c = x.get_shape()[1].value
-                else:
-                    raise ValueError(
-                        "Unknown data_format {0}".format(self.data_format))
-                w = create_weight("w", [inp_c, 10])
-                x = tf.matmul(x, w)
-        return x
-
-
-    # override
-    def _build_train(self):
-        print("-" * 80)
-        print("Build train graph")
-        logits = self._model(self.x_train, is_training=True)
-        log_probs = tf.nn.sparse_softmax_cross_entropy_with_logits(
-            logits=logits, labels=self.y_train)
-        self.loss = tf.reduce_mean(log_probs)
-
-        self.train_preds = tf.argmax(logits, axis=1)
-        self.train_preds = tf.to_int32(self.train_preds)
-        self.train_acc = tf.equal(self.train_preds, self.y_train)
-        self.train_acc = tf.to_int32(self.train_acc)
-        self.train_acc = tf.reduce_sum(self.train_acc)
-
-        tf_variables = [var
-                        for var in tf.trainable_variables() if var.name.startswith(self.name)]
-        self.num_vars = count_model_params(tf_variables)
-        print("Model has {} params".format(self.num_vars))
-
-        self.global_step = tf.Variable(
-            0, dtype=tf.int32, trainable=False, name="global_step")
-
-        self.train_op, self.lr, self.grad_norm, self.optimizer = get_train_ops(
-            self.loss,
-            tf_variables,
-            self.global_step,
-            clip_mode=self.clip_mode,
-            grad_bound=self.grad_bound,
-            l2_reg=self.l2_reg,
-            lr_init=self.lr_init,
-            lr_dec_start=self.lr_dec_start,
-            lr_dec_every=self.lr_dec_every,
-            lr_dec_rate=self.lr_dec_rate,
-            lr_cosine=self.lr_cosine,
-            lr_max=self.lr_max,
-            lr_min=self.lr_min,
-            lr_T_0=self.lr_T_0,
-            lr_T_mul=self.lr_T_mul,
-            num_train_batches=self.num_train_batches,
-            optim_algo=self.optim_algo,
-            sync_replicas=False,
-            num_aggregate=self.num_aggregate,
-            num_replicas=self.num_replicas)
-
-    # override
-    def _build_valid(self):
-        if self.x_valid is not None:
-            print("-" * 80)
-            print("Build valid graph")
-            logits = self._model(self.x_valid, False, reuse=True)
-            self.valid_preds = tf.argmax(logits, axis=1)
-            self.valid_preds = tf.to_int32(self.valid_preds)
-            self.valid_acc = tf.equal(self.valid_preds, self.y_valid)
-            self.valid_acc = tf.to_int32(self.valid_acc)
-            self.valid_acc = tf.reduce_sum(self.valid_acc)
-
-    # override
-    def _build_test(self):
-        print("-" * 80)
-        print("Build test graph")
-        logits = self._model(self.x_test, False, reuse=True)
-        self.test_preds = tf.argmax(logits, axis=1)
-        self.test_preds = tf.to_int32(self.test_preds)
-        self.test_acc = tf.equal(self.test_preds, self.y_test)
-        self.test_acc = tf.to_int32(self.test_acc)
-        self.test_acc = tf.reduce_sum(self.test_acc)
-
-
-    def build_model(self):
-
-        self._build_train()
-        self._build_valid()
-        self._build_test()

examples/trials/nas_cifar10/src/cifar10/models.py

-import os
-import sys
-
-import numpy as np
-import tensorflow as tf
-
-
-class Model(object):
-    def __init__(self,
-                 images,
-                 labels,
-                 cutout_size=None,
-                 batch_size=32,
-                 eval_batch_size=100,
-                 clip_mode=None,
-                 grad_bound=None,
-                 l2_reg=1e-4,
-                 lr_init=0.1,
-                 lr_dec_start=0,
-                 lr_dec_every=100,
-                 lr_dec_rate=0.1,
-                 keep_prob=1.0,
-                 optim_algo=None,
-                 sync_replicas=False,
-                 num_aggregate=None,
-                 num_replicas=None,
-                 data_format="NHWC",
-                 name="generic_model",
-                 seed=None,
-                 ):
-        """
-        Args:
-                lr_dec_every: number of epochs to decay
-        """
-        print("-" * 80)
-        print("Build model {}".format(name))
-
-        self.cutout_size = cutout_size
-        self.batch_size = batch_size
-        self.eval_batch_size = eval_batch_size
-        self.clip_mode = clip_mode
-        self.grad_bound = grad_bound
-        self.l2_reg = l2_reg
-        self.lr_init = lr_init
-        self.lr_dec_start = lr_dec_start
-        self.lr_dec_rate = lr_dec_rate
-        self.keep_prob = keep_prob
-        self.optim_algo = optim_algo
-        self.sync_replicas = sync_replicas
-        self.num_aggregate = num_aggregate
-        self.num_replicas = num_replicas
-        self.data_format = data_format
-        self.name = name
-        self.seed = seed
-
-        self.global_step = None
-        self.valid_acc = None
-        self.test_acc = None
-        print("Build data ops")
-        with tf.device("/cpu:0"):
-            # training data
-            self.num_train_examples = np.shape(images["train"])[0]
-
-            self.num_train_batches = (
-                self.num_train_examples + self.batch_size - 1) // self.batch_size
-            x_train, y_train = tf.train.shuffle_batch(
-                [images["train"], labels["train"]],
-                batch_size=self.batch_size,
-                capacity=50000,
-                enqueue_many=True,
-                min_after_dequeue=0,
-                num_threads=16,
-                seed=self.seed,
-                allow_smaller_final_batch=True,
-            )
-            self.lr_dec_every = lr_dec_every * self.num_train_batches
-
-            def _pre_process(x):
-                x = tf.pad(x, [[4, 4], [4, 4], [0, 0]])
-                x = tf.random_crop(x, [32, 32, 3], seed=self.seed)
-                x = tf.image.random_flip_left_right(x, seed=self.seed)
-                if self.cutout_size is not None:
-                    mask = tf.ones(
-                        [self.cutout_size, self.cutout_size], dtype=tf.int32)
-                    start = tf.random_uniform(
-                        [2], minval=0, maxval=32, dtype=tf.int32)
-                    mask = tf.pad(mask, [[self.cutout_size + start[0], 32 - start[0]],
-                                         [self.cutout_size + start[1], 32 - start[1]]])
-                    mask = mask[self.cutout_size: self.cutout_size + 32,
-                                self.cutout_size: self.cutout_size + 32]
-                    mask = tf.reshape(mask, [32, 32, 1])
-                    mask = tf.tile(mask, [1, 1, 3])
-                    x = tf.where(tf.equal(mask, 0), x=x, y=tf.zeros_like(x))
-                if self.data_format == "NCHW":
-                    x = tf.transpose(x, [2, 0, 1])
-
-                return x
-            self.x_train = tf.map_fn(_pre_process, x_train, back_prop=False)
-            self.y_train = y_train
-
-            # valid data
-            self.x_valid, self.y_valid = None, None
-            if images["valid"] is not None:
-                images["valid_original"] = np.copy(images["valid"])
-                labels["valid_original"] = np.copy(labels["valid"])
-                if self.data_format == "NCHW":
-                    images["valid"] = tf.transpose(
-                        images["valid"], [0, 3, 1, 2])
-                self.num_valid_examples = np.shape(images["valid"])[0]
-                self.num_valid_batches = (
-                    (self.num_valid_examples + self.eval_batch_size - 1)
-                    // self.eval_batch_size)
-                self.x_valid, self.y_valid = tf.train.batch(
-                    [images["valid"], labels["valid"]],
-                    batch_size=self.eval_batch_size,
-                    capacity=5000,
-                    enqueue_many=True,
-                    num_threads=1,
-                    allow_smaller_final_batch=True,
-                )
-
-            # test data
-            if self.data_format == "NCHW":
-                images["test"] = tf.transpose(images["test"], [0, 3, 1, 2])
-            self.num_test_examples = np.shape(images["test"])[0]
-            self.num_test_batches = (
-                (self.num_test_examples + self.eval_batch_size - 1)
-                // self.eval_batch_size)
-            self.x_test, self.y_test = tf.train.batch(
-                [images["test"], labels["test"]],
-                batch_size=self.eval_batch_size,
-                capacity=10000,
-                enqueue_many=True,
-                num_threads=1,
-                allow_smaller_final_batch=True,
-            )
-
-        # cache images and labels
-        self.images = images
-        self.labels = labels
-
-    def eval_once(self, sess, eval_set, child_model, verbose=False):
-        """Expects self.acc and self.global_step to be defined.
-
-        Args:
-                sess: tf.Session() or one of its wrap arounds.
-                feed_dict: can be used to give more information to sess.run().
-                eval_set: "valid" or "test"
-        """
-
-        assert self.global_step is not None
-        global_step = sess.run(self.global_step)
-        print("Eval at {}".format(global_step))
-
-        if eval_set == "valid":
-            assert self.x_valid is not None
-            assert self.valid_acc is not None
-            num_examples = self.num_valid_examples
-            num_batches = self.num_valid_batches
-            acc_op = self.valid_acc
-        elif eval_set == "test":
-            assert self.test_acc is not None
-            num_examples = self.num_test_examples
-            num_batches = self.num_test_batches
-            acc_op = self.test_acc
-        else:
-            raise NotImplementedError("Unknown eval_set '{}'".format(eval_set))
-
-        total_acc = 0
-        total_exp = 0
-
-        for batch_id in range(num_batches):
-            acc = sess.run(acc_op)
-
-            total_acc += acc
-            total_exp += self.eval_batch_size
-            if verbose:
-                sys.stdout.write(
-                    "\r{:<5d}/{:>5d}".format(total_acc, total_exp))
-        if verbose:
-            print("")
-        print("{}_accuracy: {:<6.4f}".format(
-            eval_set, float(total_acc) / total_exp))
-        return float(total_acc) / total_exp
-
-    def _model(self, images, is_training, reuse=None):
-        raise NotImplementedError("Abstract method")
-
-    def _build_train(self):
-        raise NotImplementedError("Abstract method")
-
-    def _build_valid(self):
-        raise NotImplementedError("Abstract method")
-
-    def _build_test(self):
-        raise NotImplementedError("Abstract method")

examples/trials/nas_cifar10/src/cifar10/nni_child_cifar10.py

-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-import os
-import shutil
-import logging
-import tensorflow as tf
-from src.cifar10.data_utils import read_data
-from src.cifar10.general_child import GeneralChild
-import src.cifar10_flags
-from src.cifar10_flags import FLAGS
-
-
-def build_logger(log_name):
-    logger = logging.getLogger(log_name)
-    logger.setLevel(logging.DEBUG)
-    fh = logging.FileHandler(log_name+'.log')
-    fh.setLevel(logging.DEBUG)
-    logger.addHandler(fh)
-    return logger
-
-
-logger = build_logger("nni_child_cifar10")
-
-
-def build_trial(images, labels, ChildClass):
-    '''Build child class'''
-    child_model = ChildClass(
-        images,
-        labels,
-        use_aux_heads=FLAGS.child_use_aux_heads,
-        cutout_size=FLAGS.child_cutout_size,
-        num_layers=FLAGS.child_num_layers,
-        num_cells=FLAGS.child_num_cells,
-        num_branches=FLAGS.child_num_branches,
-        fixed_arc=FLAGS.child_fixed_arc,
-        out_filters_scale=FLAGS.child_out_filters_scale,
-        out_filters=FLAGS.child_out_filters,
-        keep_prob=FLAGS.child_keep_prob,
-        drop_path_keep_prob=FLAGS.child_drop_path_keep_prob,
-        num_epochs=FLAGS.num_epochs,
-        l2_reg=FLAGS.child_l2_reg,
-        data_format=FLAGS.data_format,
-        batch_size=FLAGS.batch_size,
-        clip_mode="norm",
-        grad_bound=FLAGS.child_grad_bound,
-        lr_init=FLAGS.child_lr,
-        lr_dec_every=FLAGS.child_lr_dec_every,
-        lr_dec_rate=FLAGS.child_lr_dec_rate,
-        lr_cosine=FLAGS.child_lr_cosine,
-        lr_max=FLAGS.child_lr_max,
-        lr_min=FLAGS.child_lr_min,
-        lr_T_0=FLAGS.child_lr_T_0,
-        lr_T_mul=FLAGS.child_lr_T_mul,
-        optim_algo="momentum",
-        sync_replicas=FLAGS.child_sync_replicas,
-        num_aggregate=FLAGS.child_num_aggregate,
-        num_replicas=FLAGS.child_num_replicas
-    )
-
-    return child_model
-
-
-def get_child_ops(child_model):
-    '''Assemble child op to a dict'''
-    child_ops = {
-        "global_step": child_model.global_step,
-        "loss": child_model.loss,
-        "train_op": child_model.train_op,
-        "lr": child_model.lr,
-        "grad_norm": child_model.grad_norm,
-        "train_acc": child_model.train_acc,
-        "optimizer": child_model.optimizer,
-        "num_train_batches": child_model.num_train_batches,
-        "eval_every": child_model.num_train_batches * FLAGS.eval_every_epochs,
-        "eval_func": child_model.eval_once,
-    }
-    return child_ops
-
-
-class NASTrial():
-
-    def __init__(self):
-        images, labels = read_data(FLAGS.data_path, num_valids=0)
-
-        self.output_dir = os.path.join(os.getenv('NNI_OUTPUT_DIR'), '../..')
-        self.file_path = os.path.join(
-            self.output_dir, 'trainable_variable.txt')
-
-        self.graph = tf.Graph()
-        with self.graph.as_default():
-            self.child_model = build_trial(images, labels, GeneralChild)
-
-            self.total_data = {}
-
-            self.child_model.build_model()
-            self.child_ops = get_child_ops(self.child_model)
-            config = tf.ConfigProto(
-                intra_op_parallelism_threads=0,
-                inter_op_parallelism_threads=0,
-                allow_soft_placement=True)
-
-            self.sess = tf.train.SingularMonitoredSession(config=config)
-
-        logger.debug('initlize NASTrial done.')
-
-    def run_one_step(self):
-        '''Run this model on a batch of data'''
-        run_ops = [
-            self.child_ops["loss"],
-            self.child_ops["lr"],
-            self.child_ops["grad_norm"],
-            self.child_ops["train_acc"],
-            self.child_ops["train_op"],
-        ]
-        loss, lr, gn, tr_acc, _ = self.sess.run(run_ops)
-        global_step = self.sess.run(self.child_ops["global_step"])
-        log_string = ""
-        log_string += "ch_step={:<6d}".format(global_step)
-        log_string += " loss={:<8.6f}".format(loss)
-        log_string += " lr={:<8.4f}".format(lr)
-        log_string += " |g|={:<8.4f}".format(gn)
-        log_string += " tr_acc={:<3d}/{:>3d}".format(tr_acc, FLAGS.batch_size)
-        if int(global_step) % FLAGS.log_every == 0:
-            logger.debug(log_string)
-        return loss, global_step
-
-    def run(self):
-        '''Run this model according to the `epoch` set in FALGS'''
-        max_acc = 0
-        while True:
-            _, global_step = self.run_one_step()
-            if global_step % self.child_ops['num_train_batches'] == 0:
-                acc = self.child_ops["eval_func"](
-                    self.sess, "test", self.child_model)
-                max_acc = max(max_acc, acc)
-                '''@nni.report_intermediate_result(acc)'''
-            if global_step / self.child_ops['num_train_batches'] >= FLAGS.num_epochs:
-                '''@nni.report_final_result(max_acc)'''
-                break
-
-
-def main(_):
-    logger.debug("-" * 80)
-
-    if not os.path.isdir(FLAGS.output_dir):
-        logger.debug(
-            "Path {} does not exist. Creating.".format(FLAGS.output_dir))
-        os.makedirs(FLAGS.output_dir)
-    elif FLAGS.reset_output_dir:
-        logger.debug(
-            "Path {} exists. Remove and remake.".format(FLAGS.output_dir))
-        shutil.rmtree(FLAGS.output_dir)
-        os.makedirs(FLAGS.output_dir)
-    logger.debug("-" * 80)
-    trial = NASTrial()
-
-    trial.run()
-
-
-if __name__ == "__main__":
-    tf.app.run()

examples/trials/nas_cifar10/src/cifar10_flags.py

-import tensorflow as tf
-from src.utils import DEFINE_boolean
-from src.utils import DEFINE_float
-from src.utils import DEFINE_integer
-from src.utils import DEFINE_string
-flags = tf.app.flags
-FLAGS = flags.FLAGS
-
-DEFINE_boolean("reset_output_dir", False, "Delete output_dir if exists.")
-DEFINE_string("data_path", "", "")
-DEFINE_string("output_dir", "", "")
-DEFINE_string("data_format", "NHWC", "'NHWC' or 'NCWH'")
-DEFINE_string("search_for", None, "Must be [macro|micro]")
-DEFINE_integer("train_data_size", 45000, "")
-DEFINE_integer("batch_size", 32, "")
-
-DEFINE_integer("num_epochs", 300, "")
-DEFINE_integer("child_lr_dec_every", 100, "")
-DEFINE_integer("child_num_layers", 5, "")
-DEFINE_integer("child_num_cells", 5, "")
-DEFINE_integer("child_filter_size", 5, "")
-DEFINE_integer("child_out_filters", 48, "")
-DEFINE_integer("child_out_filters_scale", 1, "")
-DEFINE_integer("child_num_branches", 4, "")
-DEFINE_integer("child_num_aggregate", None, "")
-DEFINE_integer("child_num_replicas", 1, "")
-DEFINE_integer("child_block_size", 3, "")
-DEFINE_integer("child_lr_T_0", None, "for lr schedule")
-DEFINE_integer("child_lr_T_mul", None, "for lr schedule")
-DEFINE_integer("child_cutout_size", None, "CutOut size")
-DEFINE_float("child_grad_bound", 5.0, "Gradient clipping")
-DEFINE_float("child_lr", 0.1, "")
-DEFINE_float("child_lr_dec_rate", 0.1, "")
-DEFINE_float("child_keep_prob", 0.5, "")
-DEFINE_float("child_drop_path_keep_prob", 1.0, "minimum drop_path_keep_prob")
-DEFINE_float("child_l2_reg", 1e-4, "")
-DEFINE_float("child_lr_max", None, "for lr schedule")
-DEFINE_float("child_lr_min", None, "for lr schedule")
-DEFINE_string("child_skip_pattern", None, "Must be ['dense', None]")
-DEFINE_string("child_fixed_arc", None, "")
-DEFINE_boolean("child_use_aux_heads", False, "Should we use an aux head")
-DEFINE_boolean("child_sync_replicas", False, "To sync or not to sync.")
-DEFINE_boolean("child_lr_cosine", False, "Use cosine lr schedule")
-DEFINE_integer("log_every", 50, "How many steps to log")
-DEFINE_integer("eval_every_epochs", 1, "How many epochs to eval")

examples/trials/nas_cifar10/src/common_ops.py

-import numpy as np
-import tensorflow as tf
-from tensorflow.python.training import moving_averages
-
-
-def lstm(x, prev_c, prev_h, w):
-    ifog = tf.matmul(tf.concat([x, prev_h], axis=1), w)
-    i, f, o, g = tf.split(ifog, 4, axis=1)
-    i = tf.sigmoid(i)
-    f = tf.sigmoid(f)
-    o = tf.sigmoid(o)
-    g = tf.tanh(g)
-    next_c = i * g + f * prev_c
-    next_h = o * tf.tanh(next_c)
-    return next_c, next_h
-
-
-def stack_lstm(x, prev_c, prev_h, w):
-    next_c, next_h = [], []
-    for layer_id, (_c, _h, _w) in enumerate(zip(prev_c, prev_h, w)):
-        inputs = x if layer_id == 0 else next_h[-1]
-        curr_c, curr_h = lstm(inputs, _c, _h, _w)
-        next_c.append(curr_c)
-        next_h.append(curr_h)
-    return next_c, next_h
-
-
-def create_weight(name, shape, initializer=None, trainable=True, seed=None):
-    if initializer is None:
-        initializer = tf.contrib.keras.initializers.he_normal(seed=seed)
-    return tf.get_variable(name, shape, initializer=initializer, trainable=trainable)
-
-
-def create_bias(name, shape, initializer=None):
-    if initializer is None:
-        initializer = tf.constant_initializer(0.0, dtype=tf.float32)
-    return tf.get_variable(name, shape, initializer=initializer)
-
-
-def conv_op(inputs, filter_size, is_training, count, out_filters,
-                     data_format, ch_mul=1, start_idx=None, separable=False):
-    """
-    Args:
-        start_idx: where to start taking the output channels. if None, assuming
-            fixed_arc mode
-        count: how many output_channels to take.
-    """
-
-    if data_format == "NHWC":
-        inp_c = inputs.get_shape()[3].value
-    elif data_format == "NCHW":
-        inp_c = inputs.get_shape()[1].value
-
-    with tf.variable_scope("inp_conv_1"):
-        w = create_weight("w", [1, 1, inp_c, out_filters])
-        x = tf.nn.conv2d(inputs, w, [1, 1, 1, 1],
-                            "SAME", data_format=data_format)
-        x = batch_norm(x, is_training, data_format=data_format)
-        x = tf.nn.relu(x)
-
-    with tf.variable_scope("out_conv_{}".format(filter_size)):
-        if start_idx is None:
-            if separable:
-                w_depth = create_weight(
-                    "w_depth", [filter_size, filter_size, out_filters, ch_mul])
-                w_point = create_weight(
-                    "w_point", [1, 1, out_filters * ch_mul, count])
-                x = tf.nn.separable_conv2d(x, w_depth, w_point, strides=[1, 1, 1, 1],
-                                            padding="SAME", data_format=data_format)
-                x = batch_norm(
-                    x, is_training, data_format=data_format)
-            else:
-                w = create_weight(
-                    "w", [filter_size, filter_size, inp_c, count])
-                x = tf.nn.conv2d(
-                    x, w, [1, 1, 1, 1], "SAME", data_format=data_format)
-                x = batch_norm(
-                    x, is_training, data_format=data_format)
-        else:
-            if separable:
-                w_depth = create_weight(
-                    "w_depth", [filter_size, filter_size, out_filters, ch_mul])
-                #test_depth = w_depth
-                w_point = create_weight(
-                    "w_point", [out_filters, out_filters * ch_mul])
-                w_point = w_point[start_idx:start_idx+count, :]
-                w_point = tf.transpose(w_point, [1, 0])
-                w_point = tf.reshape(
-                    w_point, [1, 1, out_filters * ch_mul, count])
-
-                x = tf.nn.separable_conv2d(x, w_depth, w_point, strides=[1, 1, 1, 1],
-                                            padding="SAME", data_format=data_format)
-                mask = tf.range(0, out_filters, dtype=tf.int32)
-                mask = tf.logical_and(
-                    start_idx <= mask, mask < start_idx + count)
-                x = batch_norm_with_mask(
-                    x, is_training, mask, out_filters, data_format=data_format)
-            else:
-                w = create_weight(
-                    "w", [filter_size, filter_size, out_filters, out_filters])
-                w = tf.transpose(w, [3, 0, 1, 2])
-                w = w[start_idx:start_idx+count, :, :, :]
-                w = tf.transpose(w, [1, 2, 3, 0])
-                x = tf.nn.conv2d(
-                    x, w, [1, 1, 1, 1], "SAME", data_format=data_format)
-                mask = tf.range(0, out_filters, dtype=tf.int32)
-                mask = tf.logical_and(
-                    start_idx <= mask, mask < start_idx + count)
-                x = batch_norm_with_mask(
-                    x, is_training, mask, out_filters, data_format=data_format)
-        x = tf.nn.relu(x)
-    return x
-
-def pool_op(inputs, is_training, count, out_filters, avg_or_max, data_format, start_idx=None):
-    """
-    Args:
-        start_idx: where to start taking the output channels. if None, assuming
-            fixed_arc mode
-        count: how many output_channels to take.
-    """
-
-    if data_format == "NHWC":
-        inp_c = inputs.get_shape()[3].value
-    elif data_format == "NCHW":
-        inp_c = inputs.get_shape()[1].value
-
-    with tf.variable_scope("conv_1"):
-        w = create_weight("w", [1, 1, inp_c, out_filters])
-        x = tf.nn.conv2d(inputs, w, [1, 1, 1, 1],
-                            "SAME", data_format=data_format)
-        x = batch_norm(x, is_training, data_format=data_format)
-        x = tf.nn.relu(x)
-
-    with tf.variable_scope("pool"):
-        if data_format == "NHWC":
-            actual_data_format = "channels_last"
-        elif data_format == "NCHW":
-            actual_data_format = "channels_first"
-
-        if avg_or_max == "avg":
-            x = tf.layers.average_pooling2d(
-                x, [3, 3], [1, 1], "SAME", data_format=actual_data_format)
-        elif avg_or_max == "max":
-            x = tf.layers.max_pooling2d(
-                x, [3, 3], [1, 1], "SAME", data_format=actual_data_format)
-        else:
-            raise ValueError("Unknown pool {}".format(avg_or_max))
-
-        if start_idx is not None:
-            if data_format == "NHWC":
-                x = x[:, :, :, start_idx: start_idx+count]
-            elif data_format == "NCHW":
-                x = x[:, start_idx: start_idx+count, :, :]
-
-    return x
-
-
-def global_avg_pool(x, data_format="NHWC"):
-    if data_format == "NHWC":
-        x = tf.reduce_mean(x, [1, 2])
-    elif data_format == "NCHW":
-        x = tf.reduce_mean(x, [2, 3])
-    else:
-        raise NotImplementedError("Unknown data_format {}".format(data_format))
-    return x
-
-
-def batch_norm(x, is_training, name="bn", decay=0.9, epsilon=1e-5,
-               data_format="NHWC"):
-    if data_format == "NHWC":
-        shape = [x.get_shape()[3]]
-    elif data_format == "NCHW":
-        shape = [x.get_shape()[1]]
-    else:
-        raise NotImplementedError("Unknown data_format {}".format(data_format))
-
-    with tf.variable_scope(name, reuse=None if is_training else True):
-        offset = tf.get_variable(
-            "offset", shape,
-            initializer=tf.constant_initializer(0.0, dtype=tf.float32))
-        scale = tf.get_variable(
-            "scale", shape,
-            initializer=tf.constant_initializer(1.0, dtype=tf.float32))
-        moving_mean = tf.get_variable(
-            "moving_mean", shape, trainable=False,
-            initializer=tf.constant_initializer(0.0, dtype=tf.float32))
-        moving_variance = tf.get_variable(
-            "moving_variance", shape, trainable=False,
-            initializer=tf.constant_initializer(1.0, dtype=tf.float32))
-
-        if is_training:
-            x, mean, variance = tf.nn.fused_batch_norm(
-                x, scale, offset, epsilon=epsilon, data_format=data_format,
-                is_training=True)
-            update_mean = moving_averages.assign_moving_average(
-                moving_mean, mean, decay)
-            update_variance = moving_averages.assign_moving_average(
-                moving_variance, variance, decay)
-            with tf.control_dependencies([update_mean, update_variance]):
-                x = tf.identity(x)
-        else:
-            x, _, _ = tf.nn.fused_batch_norm(x, scale, offset, mean=moving_mean,
-                                             variance=moving_variance,
-                                             epsilon=epsilon, data_format=data_format,
-                                             is_training=False)
-    return x
-
-
-def batch_norm_with_mask(x, is_training, mask, num_channels, name="bn",
-                         decay=0.9, epsilon=1e-3, data_format="NHWC"):
-
-    shape = [num_channels]
-    indices = tf.where(mask)
-    indices = tf.to_int32(indices)
-    indices = tf.reshape(indices, [-1])
-
-    with tf.variable_scope(name, reuse=None if is_training else True):
-        offset = tf.get_variable(
-            "offset", shape,
-            initializer=tf.constant_initializer(0.0, dtype=tf.float32))
-        scale = tf.get_variable(
-            "scale", shape,
-            initializer=tf.constant_initializer(1.0, dtype=tf.float32))
-        offset = tf.boolean_mask(offset, mask)
-        scale = tf.boolean_mask(scale, mask)
-
-        moving_mean = tf.get_variable(
-            "moving_mean", shape, trainable=False,
-            initializer=tf.constant_initializer(0.0, dtype=tf.float32))
-        moving_variance = tf.get_variable(
-            "moving_variance", shape, trainable=False,
-            initializer=tf.constant_initializer(1.0, dtype=tf.float32))
-
-        if is_training:
-            x, mean, variance = tf.nn.fused_batch_norm(
-                x, scale, offset, epsilon=epsilon, data_format=data_format,
-                is_training=True)
-            mean = (1.0 - decay) * (tf.boolean_mask(moving_mean, mask) - mean)
-            variance = (1.0 - decay) * \
-                (tf.boolean_mask(moving_variance, mask) - variance)
-            update_mean = tf.scatter_sub(
-                moving_mean, indices, mean, use_locking=True)
-            update_variance = tf.scatter_sub(
-                moving_variance, indices, variance, use_locking=True)
-            with tf.control_dependencies([update_mean, update_variance]):
-                x = tf.identity(x)
-        else:
-            masked_moving_mean = tf.boolean_mask(moving_mean, mask)
-            masked_moving_variance = tf.boolean_mask(moving_variance, mask)
-            x, _, _ = tf.nn.fused_batch_norm(x, scale, offset,
-                                             mean=masked_moving_mean,
-                                             variance=masked_moving_variance,
-                                             epsilon=epsilon, data_format=data_format,
-                                             is_training=False)
-    return x

examples/trials/nas_cifar10/src/utils.py

-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import sys
-import numpy as np
-import tensorflow as tf
-
-
-user_flags = []
-
-
-def DEFINE_string(name, default_value, doc_string):
-    tf.app.flags.DEFINE_string(name, default_value, doc_string)
-    global user_flags
-    user_flags.append(name)
-
-
-def DEFINE_integer(name, default_value, doc_string):
-    tf.app.flags.DEFINE_integer(name, default_value, doc_string)
-    global user_flags
-    user_flags.append(name)
-
-
-def DEFINE_float(name, default_value, doc_string):
-    tf.app.flags.DEFINE_float(name, default_value, doc_string)
-    global user_flags
-    user_flags.append(name)
-
-
-def DEFINE_boolean(name, default_value, doc_string):
-    tf.app.flags.DEFINE_boolean(name, default_value, doc_string)
-    global user_flags
-    user_flags.append(name)
-
-
-def print_user_flags(line_limit=80):
-    print("-" * 80)
-
-    global user_flags
-    FLAGS = tf.app.flags.FLAGS
-
-    for flag_name in sorted(user_flags):
-        value = "{}".format(getattr(FLAGS, flag_name))
-        log_string = flag_name
-        log_string += "." * (line_limit - len(flag_name) - len(value))
-        log_string += value
-        print(log_string)
-
-
-def get_C(x, data_format):
-    """
-    Args:
-        x: tensor of shape [N, H, W, C] or [N, C, H, W]
-    """
-    if data_format == "NHWC":
-        return x.get_shape()[3].value
-    elif data_format == "NCHW":
-        return x.get_shape()[1].value
-    else:
-        raise ValueError(
-            "Unknown data_format '{0}'".format(data_format))
-
-def get_HW(x, data_format):
-    """
-    Args:
-        x: tensor of shape [N, H, W, C] or [N, C, H, W]
-    """
-    return x.get_shape()[2].value
-
-def get_strides(stride, data_format):
-    """
-    Args:
-        x: tensor of shape [N, H, W, C] or [N, C, H, W]
-    """
-    if data_format == "NHWC":
-        return [1, stride, stride, 1]
-    elif data_format == "NCHW":
-        return [1, 1, stride, stride]
-    else:
-        raise ValueError(
-            "Unknown data_format '{0}'".format(data_format))
-
-
-class TextColors:
-    HEADER = '\033[95m'
-    OKBLUE = '\033[94m'
-    OKGREEN = '\033[92m'
-    WARNING = '\033[93m'
-    FAIL = '\033[91m'
-    ENDC = '\033[0m'
-    BOLD = '\033[1m'
-    UNDERLINE = '\033[4m'
-
-
-class Logger(object):
-    def __init__(self, output_file):
-        self.terminal = sys.stdout
-        self.log = open(output_file, "a")
-
-    def write(self, message):
-        self.terminal.write(message)
-        self.terminal.flush()
-        self.log.write(message)
-        self.log.flush()
-
-
-def count_model_params(tf_variables):
-    """
-    Args:
-        tf_variables: list of all model variables
-    """
-
-    num_vars = 0
-    for var in tf_variables:
-        num_vars += np.prod([dim.value for dim in var.get_shape()])
-    return num_vars
-
-
-def get_train_ops(
-        loss,
-        tf_variables,
-        train_step,
-        clip_mode=None,
-        grad_bound=None,
-        l2_reg=1e-4,
-        lr_warmup_val=None,
-        lr_warmup_steps=100,
-        lr_init=0.1,
-        lr_dec_start=0,
-        lr_dec_every=10000,
-        lr_dec_rate=0.1,
-        lr_dec_min=None,
-        lr_cosine=False,
-        lr_max=None,
-        lr_min=None,
-        lr_T_0=None,
-        lr_T_mul=None,
-        num_train_batches=None,
-        optim_algo=None,
-        sync_replicas=False,
-        num_aggregate=None,
-        num_replicas=None,
-        get_grad_norms=False,
-        moving_average=None):
-    """
-    Args:
-        clip_mode: "global", "norm", or None.
-        moving_average: store the moving average of parameters
-    """
-
-    if l2_reg > 0:
-        l2_losses = []
-        for var in tf_variables:
-            l2_losses.append(tf.reduce_sum(var ** 2))
-        l2_loss = tf.add_n(l2_losses)
-        loss += l2_reg * l2_loss
-
-    grads = tf.gradients(loss, tf_variables)
-    grad_norm = tf.global_norm(grads)
-
-    grad_norms = {}
-    for v, g in zip(tf_variables, grads):
-        if v is None or g is None:
-            continue
-        if isinstance(g, tf.IndexedSlices):
-            grad_norms[v.name] = tf.sqrt(tf.reduce_sum(g.values ** 2))
-        else:
-            grad_norms[v.name] = tf.sqrt(tf.reduce_sum(g ** 2))
-
-    if clip_mode is not None:
-        assert grad_bound is not None, "Need grad_bound to clip gradients."
-        if clip_mode == "global":
-            grads, _ = tf.clip_by_global_norm(grads, grad_bound)
-        elif clip_mode == "norm":
-            clipped = []
-            for g in grads:
-                if isinstance(g, tf.IndexedSlices):
-                    c_g = tf.clip_by_norm(g.values, grad_bound)
-                    c_g = tf.IndexedSlices(g.indices, c_g)
-                else:
-                    c_g = tf.clip_by_norm(g, grad_bound)
-                clipped.append(g)
-            grads = clipped
-        else:
-            raise NotImplementedError("Unknown clip_mode {}".format(clip_mode))
-
-    if lr_cosine:
-        assert lr_max is not None, "Need lr_max to use lr_cosine"
-        assert lr_min is not None, "Need lr_min to use lr_cosine"
-        assert lr_T_0 is not None, "Need lr_T_0 to use lr_cosine"
-        assert lr_T_mul is not None, "Need lr_T_mul to use lr_cosine"
-        assert num_train_batches is not None, ("Need num_train_batches to use"
-                                               " lr_cosine")
-
-        curr_epoch = train_step // num_train_batches
-
-        last_reset = tf.Variable(0, dtype=tf.int32, trainable=False,
-                                 name="last_reset")
-        T_i = tf.Variable(lr_T_0, dtype=tf.int32, trainable=False, name="T_i")
-        T_curr = curr_epoch - last_reset
-
-        def _update():
-            update_last_reset = tf.assign(
-                last_reset, curr_epoch, use_locking=True)
-            update_T_i = tf.assign(T_i, T_i * lr_T_mul, use_locking=True)
-            with tf.control_dependencies([update_last_reset, update_T_i]):
-                rate = tf.to_float(T_curr) / tf.to_float(T_i) * 3.1415926
-                lr = lr_min + 0.5 * (lr_max - lr_min) * (1.0 + tf.cos(rate))
-            return lr
-
-        def _no_update():
-            rate = tf.to_float(T_curr) / tf.to_float(T_i) * 3.1415926
-            lr = lr_min + 0.5 * (lr_max - lr_min) * (1.0 + tf.cos(rate))
-            return lr
-
-        learning_rate = tf.cond(
-            tf.greater_equal(T_curr, T_i), _update, _no_update)
-    else:
-        learning_rate = tf.train.exponential_decay(
-            lr_init, tf.maximum(train_step - lr_dec_start, 0), lr_dec_every,
-            lr_dec_rate, staircase=True)
-        if lr_dec_min is not None:
-            learning_rate = tf.maximum(learning_rate, lr_dec_min)
-
-    if lr_warmup_val is not None:
-        learning_rate = tf.cond(tf.less(train_step, lr_warmup_steps),
-                                lambda: lr_warmup_val, lambda: learning_rate)
-
-    if optim_algo == "momentum":
-        opt = tf.train.MomentumOptimizer(
-            learning_rate, 0.9, use_locking=True, use_nesterov=True)
-    elif optim_algo == "sgd":
-        opt = tf.train.GradientDescentOptimizer(
-            learning_rate, use_locking=True)
-    elif optim_algo == "adam":
-        opt = tf.train.AdamOptimizer(learning_rate, beta1=0.0, epsilon=1e-3,
-                                     use_locking=True)
-    else:
-        raise ValueError("Unknown optim_algo {}".format(optim_algo))
-
-    if sync_replicas:
-        assert num_aggregate is not None, "Need num_aggregate to sync."
-        assert num_replicas is not None, "Need num_replicas to sync."
-
-        opt = tf.train.SyncReplicasOptimizer(
-            opt,
-            replicas_to_aggregate=num_aggregate,
-            total_num_replicas=num_replicas,
-            use_locking=True)
-
-    if moving_average is not None:
-        opt = tf.contrib.opt.MovingAverageOptimizer(
-            opt, average_decay=moving_average)
-
-    train_op = opt.apply_gradients(
-        zip(grads, tf_variables), global_step=train_step)
-
-    if get_grad_norms:
-        return train_op, learning_rate, grad_norm, opt, grad_norms
-    else:
-        return train_op, learning_rate, grad_norm, opt

examples/tuners/enas_nni/README.md

- **Run ENAS in NNI**	
- ===	
- 
-  Now we have an enas example [enas-nni](https://github.com/countif/enas_nni) run in NNI from our contributors.	
- Thanks our lovely contributors. 	
- And welcome more and more people to join us!

examples/tuners/enas_nni/README_zh_CN.md

-**在 NNI 中运行 ENAS**  
-===
-
-来自贡献者的 [enas-nni](https://github.com/countif/enas_nni) 可运行在 NNI 中。 非常感谢！  
-欢迎更多志愿者加入我们！
\ No newline at end of file

src/nni_manager/package.json

@@ -48,9 +48,9 @@
     "chai": "^4.1.2",
     "eslint": "^6.7.2",
     "glob": "^7.1.3",
-    "mocha": "^5.2.0",
+    "mocha": "^7.1.1",
     "npx": "^10.2.0",
-    "nyc": "^13.1.0",
+    "nyc": "^15.0.0",
     "request": "^2.87.0",
     "rmdir": "^1.2.0",
     "tmp": "^0.0.33",
@@ -59,7 +59,6 @@
   },
   "resolutions": {
     "mem": "^4.0.0",
-    "handlebars": "^4.5.3",
     "lodash": "^4.17.13",
     "lodash.merge": "^4.6.2",
     "node.extend": "^1.1.7",

src/nni_manager/training_service/common/util.ts

@@ -69,7 +69,7 @@ export async function execMkdir(directory: string, share: boolean = false): Prom
  */
 export async function execCopydir(source: string, destination: string): Promise<void> {
     if (process.platform === 'win32') {
-        await cpp.exec(`powershell.exe Copy-Item "${source}" -Destination "${destination}" -Recurse`);
+        await cpp.exec(`powershell.exe Copy-Item "${source}\\*" -Destination "${destination}" -Recurse`);
     } else {
         await cpp.exec(`cp -r '${source}/.' '${destination}'`);
     }

src/nni_manager/yarn.lock

@@ -8,35 +8,133 @@
   dependencies:
     "@babel/highlight" "^7.0.0"
 
-"@babel/generator@^7.0.0", "@babel/generator@^7.2.2":
-  version "7.2.2"
-  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.2.2.tgz#18c816c70962640eab42fe8cae5f3947a5c65ccc"
+"@babel/code-frame@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.8.3.tgz#33e25903d7481181534e12ec0a25f16b6fcf419e"
+  integrity sha512-a9gxpmdXtZEInkCSHUJDLHZVBgb1QS0jhss4cPP93EW7s+uC5bikET2twEF3KV+7rDblJcmNvTR7VJejqd2C2g==
+  dependencies:
+    "@babel/highlight" "^7.8.3"
+
+"@babel/core@^7.7.5":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.9.0.tgz#ac977b538b77e132ff706f3b8a4dbad09c03c56e"
+  integrity sha512-kWc7L0fw1xwvI0zi8OKVBuxRVefwGOrKSQMvrQ3dW+bIIavBY3/NpXmpjMy7bQnLgwgzWQZ8TlM57YHpHNHz4w==
+  dependencies:
+    "@babel/code-frame" "^7.8.3"
+    "@babel/generator" "^7.9.0"
+    "@babel/helper-module-transforms" "^7.9.0"
+    "@babel/helpers" "^7.9.0"
+    "@babel/parser" "^7.9.0"
+    "@babel/template" "^7.8.6"
+    "@babel/traverse" "^7.9.0"
+    "@babel/types" "^7.9.0"
+    convert-source-map "^1.7.0"
+    debug "^4.1.0"
+    gensync "^1.0.0-beta.1"
+    json5 "^2.1.2"
+    lodash "^4.17.13"
+    resolve "^1.3.2"
+    semver "^5.4.1"
+    source-map "^0.5.0"
+
+"@babel/generator@^7.9.0":
+  version "7.9.4"
+  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.9.4.tgz#12441e90c3b3c4159cdecf312075bf1a8ce2dbce"
+  integrity sha512-rjP8ahaDy/ouhrvCoU1E5mqaitWrxwuNGU+dy1EpaoK48jZay4MdkskKGIMHLZNewg8sAsqpGSREJwP0zH3YQA==
   dependencies:
-    "@babel/types" "^7.2.2"
+    "@babel/types" "^7.9.0"
     jsesc "^2.5.1"
-    lodash "^4.17.10"
+    lodash "^4.17.13"
     source-map "^0.5.0"
-    trim-right "^1.0.1"
 
-"@babel/helper-function-name@^7.1.0":
-  version "7.1.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.1.0.tgz#a0ceb01685f73355d4360c1247f582bfafc8ff53"
+"@babel/helper-function-name@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.8.3.tgz#eeeb665a01b1f11068e9fb86ad56a1cb1a824cca"
+  integrity sha512-BCxgX1BC2hD/oBlIFUgOCQDOPV8nSINxCwM3o93xP4P9Fq6aV5sgv2cOOITDMtCfQ+3PvHp3l689XZvAM9QyOA==
   dependencies:
-    "@babel/helper-get-function-arity" "^7.0.0"
-    "@babel/template" "^7.1.0"
-    "@babel/types" "^7.0.0"
+    "@babel/helper-get-function-arity" "^7.8.3"
+    "@babel/template" "^7.8.3"
+    "@babel/types" "^7.8.3"
 
-"@babel/helper-get-function-arity@^7.0.0":
-  version "7.0.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-get-function-arity/-/helper-get-function-arity-7.0.0.tgz#83572d4320e2a4657263734113c42868b64e49c3"
+"@babel/helper-get-function-arity@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-get-function-arity/-/helper-get-function-arity-7.8.3.tgz#b894b947bd004381ce63ea1db9f08547e920abd5"
+  integrity sha512-FVDR+Gd9iLjUMY1fzE2SR0IuaJToR4RkCDARVfsBBPSP53GEqSFjD8gNyxg246VUyc/ALRxFaAK8rVG7UT7xRA==
   dependencies:
-    "@babel/types" "^7.0.0"
+    "@babel/types" "^7.8.3"
 
-"@babel/helper-split-export-declaration@^7.0.0":
-  version "7.0.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.0.0.tgz#3aae285c0311c2ab095d997b8c9a94cad547d813"
+"@babel/helper-member-expression-to-functions@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.8.3.tgz#659b710498ea6c1d9907e0c73f206eee7dadc24c"
+  integrity sha512-fO4Egq88utkQFjbPrSHGmGLFqmrshs11d46WI+WZDESt7Wu7wN2G2Iu+NMMZJFDOVRHAMIkB5SNh30NtwCA7RA==
+  dependencies:
+    "@babel/types" "^7.8.3"
+
+"@babel/helper-module-imports@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.8.3.tgz#7fe39589b39c016331b6b8c3f441e8f0b1419498"
+  integrity sha512-R0Bx3jippsbAEtzkpZ/6FIiuzOURPcMjHp+Z6xPe6DtApDJx+w7UYyOLanZqO8+wKR9G10s/FmHXvxaMd9s6Kg==
+  dependencies:
+    "@babel/types" "^7.8.3"
+
+"@babel/helper-module-transforms@^7.9.0":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.9.0.tgz#43b34dfe15961918707d247327431388e9fe96e5"
+  integrity sha512-0FvKyu0gpPfIQ8EkxlrAydOWROdHpBmiCiRwLkUiBGhCUPRRbVD2/tm3sFr/c/GWFrQ/ffutGUAnx7V0FzT2wA==
+  dependencies:
+    "@babel/helper-module-imports" "^7.8.3"
+    "@babel/helper-replace-supers" "^7.8.6"
+    "@babel/helper-simple-access" "^7.8.3"
+    "@babel/helper-split-export-declaration" "^7.8.3"
+    "@babel/template" "^7.8.6"
+    "@babel/types" "^7.9.0"
+    lodash "^4.17.13"
+
+"@babel/helper-optimise-call-expression@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.8.3.tgz#7ed071813d09c75298ef4f208956006b6111ecb9"
+  integrity sha512-Kag20n86cbO2AvHca6EJsvqAd82gc6VMGule4HwebwMlwkpXuVqrNRj6CkCV2sKxgi9MyAUnZVnZ6lJ1/vKhHQ==
   dependencies:
-    "@babel/types" "^7.0.0"
+    "@babel/types" "^7.8.3"
+
+"@babel/helper-replace-supers@^7.8.6":
+  version "7.8.6"
+  resolved "https://registry.yarnpkg.com/@babel/helper-replace-supers/-/helper-replace-supers-7.8.6.tgz#5ada744fd5ad73203bf1d67459a27dcba67effc8"
+  integrity sha512-PeMArdA4Sv/Wf4zXwBKPqVj7n9UF/xg6slNRtZW84FM7JpE1CbG8B612FyM4cxrf4fMAMGO0kR7voy1ForHHFA==
+  dependencies:
+    "@babel/helper-member-expression-to-functions" "^7.8.3"
+    "@babel/helper-optimise-call-expression" "^7.8.3"
+    "@babel/traverse" "^7.8.6"
+    "@babel/types" "^7.8.6"
+
+"@babel/helper-simple-access@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-simple-access/-/helper-simple-access-7.8.3.tgz#7f8109928b4dab4654076986af575231deb639ae"
+  integrity sha512-VNGUDjx5cCWg4vvCTR8qQ7YJYZ+HBjxOgXEl7ounz+4Sn7+LMD3CFrCTEU6/qXKbA2nKg21CwhhBzO0RpRbdCw==
+  dependencies:
+    "@babel/template" "^7.8.3"
+    "@babel/types" "^7.8.3"
+
+"@babel/helper-split-export-declaration@^7.8.3":
+  version "7.8.3"
+  resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.8.3.tgz#31a9f30070f91368a7182cf05f831781065fc7a9"
+  integrity sha512-3x3yOeyBhW851hroze7ElzdkeRXQYQbFIb7gLK1WQYsw2GWDay5gAJNw1sWJ0VFP6z5J1whqeXH/WCdCjZv6dA==
+  dependencies:
+    "@babel/types" "^7.8.3"
+
+"@babel/helper-validator-identifier@^7.9.0":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.9.0.tgz#ad53562a7fc29b3b9a91bbf7d10397fd146346ed"
+  integrity sha512-6G8bQKjOh+of4PV/ThDm/rRqlU7+IGoJuofpagU5GlEl29Vv0RGqqt86ZGRV8ZuSOY3o+8yXl5y782SMcG7SHw==
+
+"@babel/helpers@^7.9.0":
+  version "7.9.2"
+  resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.9.2.tgz#b42a81a811f1e7313b88cba8adc66b3d9ae6c09f"
+  integrity sha512-JwLvzlXVPjO8eU9c/wF9/zOIN7X6h8DYf7mG4CiFRZRvZNKEF5dQ3H3V+ASkHoIB3mWhatgl5ONhyqHRI6MppA==
+  dependencies:
+    "@babel/template" "^7.8.3"
+    "@babel/traverse" "^7.9.0"
+    "@babel/types" "^7.9.0"
 
 "@babel/highlight@^7.0.0":
   version "7.0.0"
@@ -46,40 +144,68 @@
     esutils "^2.0.2"
     js-tokens "^4.0.0"
 
-"@babel/parser@^7.0.0", "@babel/parser@^7.2.2", "@babel/parser@^7.2.3":
-  version "7.2.3"
-  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.2.3.tgz#32f5df65744b70888d17872ec106b02434ba1489"
-
-"@babel/template@^7.0.0", "@babel/template@^7.1.0":
-  version "7.2.2"
-  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.2.2.tgz#005b3fdf0ed96e88041330379e0da9a708eb2907"
+"@babel/highlight@^7.8.3":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/highlight/-/highlight-7.9.0.tgz#4e9b45ccb82b79607271b2979ad82c7b68163079"
+  integrity sha512-lJZPilxX7Op3Nv/2cvFdnlepPXDxi29wxteT57Q965oc5R9v86ztx0jfxVrTcBk8C2kcPkkDa2Z4T3ZsPPVWsQ==
   dependencies:
-    "@babel/code-frame" "^7.0.0"
-    "@babel/parser" "^7.2.2"
-    "@babel/types" "^7.2.2"
+    "@babel/helper-validator-identifier" "^7.9.0"
+    chalk "^2.0.0"
+    js-tokens "^4.0.0"
 
-"@babel/traverse@^7.0.0":
-  version "7.2.3"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.2.3.tgz#7ff50cefa9c7c0bd2d81231fdac122f3957748d8"
-  dependencies:
-    "@babel/code-frame" "^7.0.0"
-    "@babel/generator" "^7.2.2"
-    "@babel/helper-function-name" "^7.1.0"
-    "@babel/helper-split-export-declaration" "^7.0.0"
-    "@babel/parser" "^7.2.3"
-    "@babel/types" "^7.2.2"
+"@babel/parser@^7.7.5", "@babel/parser@^7.8.6", "@babel/parser@^7.9.0":
+  version "7.9.4"
+  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.9.4.tgz#68a35e6b0319bbc014465be43828300113f2f2e8"
+  integrity sha512-bC49otXX6N0/VYhgOMh4gnP26E9xnDZK3TmbNpxYzzz9BQLBosQwfyOe9/cXUU3txYhTzLCbcqd5c8y/OmCjHA==
+
+"@babel/template@^7.7.4", "@babel/template@^7.8.3", "@babel/template@^7.8.6":
+  version "7.8.6"
+  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.8.6.tgz#86b22af15f828dfb086474f964dcc3e39c43ce2b"
+  integrity sha512-zbMsPMy/v0PWFZEhQJ66bqjhH+z0JgMoBWuikXybgG3Gkd/3t5oQ1Rw2WQhnSrsOmsKXnZOx15tkC4qON/+JPg==
+  dependencies:
+    "@babel/code-frame" "^7.8.3"
+    "@babel/parser" "^7.8.6"
+    "@babel/types" "^7.8.6"
+
+"@babel/traverse@^7.7.4", "@babel/traverse@^7.8.6", "@babel/traverse@^7.9.0":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.9.0.tgz#d3882c2830e513f4fe4cec9fe76ea1cc78747892"
+  integrity sha512-jAZQj0+kn4WTHO5dUZkZKhbFrqZE7K5LAQ5JysMnmvGij+wOdr+8lWqPeW0BcF4wFwrEXXtdGO7wcV6YPJcf3w==
+  dependencies:
+    "@babel/code-frame" "^7.8.3"
+    "@babel/generator" "^7.9.0"
+    "@babel/helper-function-name" "^7.8.3"
+    "@babel/helper-split-export-declaration" "^7.8.3"
+    "@babel/parser" "^7.9.0"
+    "@babel/types" "^7.9.0"
     debug "^4.1.0"
     globals "^11.1.0"
-    lodash "^4.17.10"
+    lodash "^4.17.13"
 
-"@babel/types@^7.0.0", "@babel/types@^7.2.2":
-  version "7.2.2"
-  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.2.2.tgz#44e10fc24e33af524488b716cdaee5360ea8ed1e"
+"@babel/types@^7.8.3", "@babel/types@^7.8.6", "@babel/types@^7.9.0":
+  version "7.9.0"
+  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.9.0.tgz#00b064c3df83ad32b2dbf5ff07312b15c7f1efb5"
+  integrity sha512-BS9JKfXkzzJl8RluW4JGknzpiUV7ZrvTayM6yfqLTVBEnFtyowVIOu6rqxRd5cVO6yGoWf4T8u8dgK9oB+GCng==
   dependencies:
-    esutils "^2.0.2"
-    lodash "^4.17.10"
+    "@babel/helper-validator-identifier" "^7.9.0"
+    lodash "^4.17.13"
     to-fast-properties "^2.0.0"
 
+"@istanbuljs/load-nyc-config@^1.0.0":
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/@istanbuljs/load-nyc-config/-/load-nyc-config-1.0.0.tgz#10602de5570baea82f8afbfa2630b24e7a8cfe5b"
+  integrity sha512-ZR0rq/f/E4f4XcgnDvtMWXCUJpi8eO0rssVhmztsZqLIEFA9UUP9zmpE0VxlM+kv/E1ul2I876Fwil2ayptDVg==
+  dependencies:
+    camelcase "^5.3.1"
+    find-up "^4.1.0"
+    js-yaml "^3.13.1"
+    resolve-from "^5.0.0"
+
+"@istanbuljs/schema@^0.1.2":
+  version "0.1.2"
+  resolved "https://registry.yarnpkg.com/@istanbuljs/schema/-/schema-0.1.2.tgz#26520bf09abe4a5644cd5414e37125a8954241dd"
+  integrity sha512-tsAQNx32a8CoFhjhijUIhI4kccIAgmGhy8LZMZgGfmXcpMbPRUqn5LWmgRttILi6yeGmBJd2xsPkFMs0PzgPCw==
+
 "@sindresorhus/is@^0.7.0":
   version "0.7.0"
   resolved "https://registry.yarnpkg.com/@sindresorhus/is/-/is-0.7.0.tgz#9a06f4f137ee84d7df0460c1fdb1135ffa6c50fd"
@@ -105,6 +231,11 @@
   version "4.1.4"
   resolved "https://registry.yarnpkg.com/@types/chai/-/chai-4.1.4.tgz#5ca073b330d90b4066d6ce18f60d57f2084ce8ca"
 
+"@types/color-name@^1.1.1":
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/@types/color-name/-/color-name-1.1.1.tgz#1c1261bbeaa10a8055bbc5d8ab84b7b2afc846a0"
+  integrity sha512-rr+OQyAjxze7GgWrSaJwydHStIhHq2lvY3BOC2Mj7KnzI7XK0Uw1TOOdI9lDoajEbSWLiYgoo4f1R51erQfhPQ==
+
 "@types/connect@*":
   version "3.4.32"
   resolved "https://registry.yarnpkg.com/@types/connect/-/connect-3.4.32.tgz#aa0e9616b9435ccad02bc52b5b454ffc2c70ba28"
@@ -410,6 +541,14 @@ aggregate-error@^1.0.0:
     clean-stack "^1.0.0"
     indent-string "^3.0.0"
 
+aggregate-error@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/aggregate-error/-/aggregate-error-3.0.1.tgz#db2fe7246e536f40d9b5442a39e117d7dd6a24e0"
+  integrity sha512-quoaXsZ9/BLNae5yiNoUz+Nhkwz83GhWwtYFglcjEQB2NDHCIpApbqXxIFnm4Pq/Nvhrsq5sYJFyohrrxnTGAA==
+  dependencies:
+    clean-stack "^2.0.0"
+    indent-string "^4.0.0"
+
 ajv@^5.1.0, ajv@^5.3.0:
   version "5.5.2"
   resolved "https://registry.yarnpkg.com/ajv/-/ajv-5.5.2.tgz#73b5eeca3fab653e3d3f9422b341ad42205dc965"
@@ -434,6 +573,11 @@ ansi-align@^2.0.0:
   dependencies:
     string-width "^2.0.0"
 
+ansi-colors@3.2.3:
+  version "3.2.3"
+  resolved "https://registry.yarnpkg.com/ansi-colors/-/ansi-colors-3.2.3.tgz#57d35b8686e851e2cc04c403f1c00203976a1813"
+  integrity sha512-LEHHyuhlPY3TmuUYMh2oz89lTShfvgbmzaBcxve9t/9Wuy7Dwf4yoAKcND7KFT1HAQfqZ12qtc+DUrBMeKF9nw==
+
 ansi-escapes@^4.2.1:
   version "4.3.0"
   resolved "https://registry.yarnpkg.com/ansi-escapes/-/ansi-escapes-4.3.0.tgz#a4ce2b33d6b214b7950d8595c212f12ac9cc569d"
@@ -462,6 +606,14 @@ ansi-styles@^3.2.0, ansi-styles@^3.2.1:
   dependencies:
     color-convert "^1.9.0"
 
+ansi-styles@^4.0.0:
+  version "4.2.1"
+  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.2.1.tgz#90ae75c424d008d2624c5bf29ead3177ebfcf359"
+  integrity sha512-9VGjrMsG1vePxcSweQsN20KY/c4zN0h9fLjqAbwbPfahM3t+NL+M9HC8xeXG2I8pX5NoamTGNuomEUFI7fcUjA==
+  dependencies:
+    "@types/color-name" "^1.1.1"
+    color-convert "^2.0.1"
+
 ansicolors@~0.3.2:
   version "0.3.2"
   resolved "https://registry.yarnpkg.com/ansicolors/-/ansicolors-0.3.2.tgz#665597de86a9ffe3aa9bfbe6cae5c6ea426b4979"
@@ -470,11 +622,20 @@ ansistyles@~0.1.3:
   version "0.1.3"
   resolved "https://registry.yarnpkg.com/ansistyles/-/ansistyles-0.1.3.tgz#5de60415bda071bb37127854c864f41b23254539"
 
-append-transform@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/append-transform/-/append-transform-1.0.0.tgz#046a52ae582a228bd72f58acfbe2967c678759ab"
+anymatch@~3.1.1:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/anymatch/-/anymatch-3.1.1.tgz#c55ecf02185e2469259399310c173ce31233b142"
+  integrity sha512-mM8522psRCqzV+6LhomX5wgp25YVibjh8Wj23I5RPkPppSVSjyKD2A2mBJmWGa+KN7f2D6LNh9jkBCeyLktzjg==
+  dependencies:
+    normalize-path "^3.0.0"
+    picomatch "^2.0.4"
+
+append-transform@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/append-transform/-/append-transform-2.0.0.tgz#99d9d29c7b38391e6f428d28ce136551f0b77e12"
+  integrity sha512-7yeyCEurROLQJFv5Xj4lEGTy0borxepjFv1g22oAdqFu//SrAlDl1O1Nxx15SH1RoliUml6p8dwJW9jvZughhg==
   dependencies:
-    default-require-extensions "^2.0.0"
+    default-require-extensions "^3.0.0"
 
 aproba@^1.0.3, aproba@^1.1.1, aproba@^1.1.2:
   version "1.2.0"
@@ -515,7 +676,7 @@ array-uniq@^1.0.1:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/array-uniq/-/array-uniq-1.0.3.tgz#af6ac877a25cc7f74e058894753858dfdb24fdb6"
 
-arrify@^1.0.0, arrify@^1.0.1:
+arrify@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/arrify/-/arrify-1.0.1.tgz#898508da2226f380df904728456849c1501a4b0d"
 
@@ -600,6 +761,11 @@ bin-links@^1.1.2, bin-links@^1.1.6:
     npm-normalize-package-bin "^1.0.0"
     write-file-atomic "^2.3.0"
 
+binary-extensions@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.0.0.tgz#23c0df14f6a88077f5f986c0d167ec03c3d5537c"
+  integrity sha512-Phlt0plgpIIBOGTT/ehfFnbNlfsDEiqmzE2KRXoX1bLIlir4X/MR+zSyBEkL05ffWgnRSf/DXv+WrUAVr93/ow==
+
 bluebird@^3.5.1, bluebird@^3.5.3, bluebird@^3.5.5:
   version "3.7.2"
   resolved "https://registry.yarnpkg.com/bluebird/-/bluebird-3.7.2.tgz#9f229c15be272454ffa973ace0dbee79a1b0c36f"
@@ -644,6 +810,13 @@ brace-expansion@^1.1.7:
     balanced-match "^1.0.0"
     concat-map "0.0.1"
 
+braces@~3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107"
+  integrity sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==
+  dependencies:
+    fill-range "^7.0.1"
+
 browser-stdout@1.3.1:
   version "1.3.1"
   resolved "https://registry.yarnpkg.com/browser-stdout/-/browser-stdout-1.3.1.tgz#baa559ee14ced73452229bad7326467c61fabd60"
@@ -660,10 +833,6 @@ buffer-stream-reader@^0.1.1:
   version "0.1.1"
   resolved "https://registry.yarnpkg.com/buffer-stream-reader/-/buffer-stream-reader-0.1.1.tgz#ca8bf93631deedd8b8f8c3bb44991cc30951e259"
 
-builtin-modules@^1.0.0:
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/builtin-modules/-/builtin-modules-1.1.1.tgz#270f076c5a72c02f5b65a47df94c5fe3a278892f"
-
 builtins@^1.0.3:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/builtins/-/builtins-1.0.3.tgz#cb94faeb61c8696451db36534e1422f94f0aee88"
@@ -712,14 +881,15 @@ cacheable-request@^2.1.1:
     normalize-url "2.0.1"
     responselike "1.0.2"
 
-caching-transform@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/caching-transform/-/caching-transform-2.0.0.tgz#e1292bd92d35b6e8b1ed7075726724b3bd64eea0"
+caching-transform@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/caching-transform/-/caching-transform-4.0.0.tgz#00d297a4206d71e2163c39eaffa8157ac0651f0f"
+  integrity sha512-kpqOvwXnjjN44D89K5ccQC+RUrsy7jB/XLlRrx0D7/2HNcTPqzsb6XgYoErwko6QsV184CA2YgS1fxDiiDZMWA==
   dependencies:
-    make-dir "^1.0.0"
-    md5-hex "^2.0.0"
-    package-hash "^2.0.0"
-    write-file-atomic "^2.0.0"
+    hasha "^5.0.0"
+    make-dir "^3.0.0"
+    package-hash "^4.0.0"
+    write-file-atomic "^3.0.0"
 
 call-limit@^1.1.1:
   version "1.1.1"
@@ -737,6 +907,11 @@ camelcase@^4.0.0, camelcase@^4.1.0:
   version "4.1.0"
   resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-4.1.0.tgz#d545635be1e33c542649c69173e5de6acfae34dd"
 
+camelcase@^5.0.0, camelcase@^5.3.1:
+  version "5.3.1"
+  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-5.3.1.tgz#e3c9b31569e106811df242f715725a1f4c494320"
+  integrity sha512-L28STB170nwWS63UjtlEOE3dldQApaJXZkOI1uMFfzf3rRuPegHaHesyee+YxQ+W6SvRDQV6UrdOdRiR153wJg==
+
 capture-stack-trace@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/capture-stack-trace/-/capture-stack-trace-1.0.1.tgz#a6c0bbe1f38f3aa0b92238ecb6ff42c344d4135d"
@@ -794,6 +969,21 @@ child-process-promise@^2.2.1:
     node-version "^1.0.0"
     promise-polyfill "^6.0.1"
 
+chokidar@3.3.0:
+  version "3.3.0"
+  resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.3.0.tgz#12c0714668c55800f659e262d4962a97faf554a6"
+  integrity sha512-dGmKLDdT3Gdl7fBUe8XK+gAtGmzy5Fn0XkkWQuYxGIgWVPPse2CxFA5mtrlD0TOHaHjEUqkWNyP1XdHoJES/4A==
+  dependencies:
+    anymatch "~3.1.1"
+    braces "~3.0.2"
+    glob-parent "~5.1.0"
+    is-binary-path "~2.1.0"
+    is-glob "~4.0.1"
+    normalize-path "~3.0.0"
+    readdirp "~3.2.0"
+  optionalDependencies:
+    fsevents "~2.1.1"
+
 chownr@^1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/chownr/-/chownr-1.0.1.tgz#e2a75042a9551908bebd25b8523d5f9769d79181"
@@ -820,6 +1010,11 @@ clean-stack@^1.0.0:
   version "1.3.0"
   resolved "https://registry.yarnpkg.com/clean-stack/-/clean-stack-1.3.0.tgz#9e821501ae979986c46b1d66d2d432db2fd4ae31"
 
+clean-stack@^2.0.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/clean-stack/-/clean-stack-2.2.0.tgz#ee8472dbb129e727b31e8a10a427dee9dfe4008b"
+  integrity sha512-4diC9HaTE+KRAMWhDhrGOECgWZxoevMc5TlkObMqNSsVU62PYzXZ/SMTjzyGAFF1YusgxGcSWTEXBhp0CPwQ1A==
+
 cli-boxes@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/cli-boxes/-/cli-boxes-1.0.0.tgz#4fa917c3e59c94a004cd61f8ee509da651687143"
@@ -858,6 +1053,24 @@ cliui@^4.0.0:
     strip-ansi "^4.0.0"
     wrap-ansi "^2.0.0"
 
+cliui@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/cliui/-/cliui-5.0.0.tgz#deefcfdb2e800784aa34f46fa08e06851c7bbbc5"
+  integrity sha512-PYeGSEmmHM6zvoef2w8TPzlrnNpXIjTipYK780YswmIP9vjxmd6Y2a3CB2Ks6/AU8NHjZugXvo8w3oWM2qnwXA==
+  dependencies:
+    string-width "^3.1.0"
+    strip-ansi "^5.2.0"
+    wrap-ansi "^5.1.0"
+
+cliui@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/cliui/-/cliui-6.0.0.tgz#511d702c0c4e41ca156d7d0e96021f23e13225b1"
+  integrity sha512-t6wbgtoCXvAzst7QgXxJYqPt0usEfbgQdftEPbLL/cvv6HPE5VgvqCuAIDR0NgU52ds6rFwqrgakNLrHEjCbrQ==
+  dependencies:
+    string-width "^4.2.0"
+    strip-ansi "^6.0.0"
+    wrap-ansi "^6.2.0"
+
 clone-response@1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/clone-response/-/clone-response-1.0.2.tgz#d1dc973920314df67fbeb94223b4ee350239e96b"
@@ -889,10 +1102,22 @@ color-convert@^1.9.0:
   dependencies:
     color-name "1.1.1"
 
+color-convert@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
+  integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
+  dependencies:
+    color-name "~1.1.4"
+
 color-name@1.1.1:
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.1.tgz#4b1415304cf50028ea81643643bd82ea05803689"
 
+color-name@~1.1.4:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
+  integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
+
 colors@^1.1.2:
   version "1.4.0"
   resolved "https://registry.yarnpkg.com/colors/-/colors-1.4.0.tgz#c50491479d4c1bdaed2c9ced32cf7c7dc2360f78"
@@ -916,14 +1141,6 @@ combined-stream@~1.0.6:
   dependencies:
     delayed-stream "~1.0.0"
 
-commander@2.15.1:
-  version "2.15.1"
-  resolved "https://registry.yarnpkg.com/commander/-/commander-2.15.1.tgz#df46e867d0fc2aec66a34662b406a9ccafff5b0f"
-
-commander@~2.17.1:
-  version "2.17.1"
-  resolved "https://registry.yarnpkg.com/commander/-/commander-2.17.1.tgz#bd77ab7de6de94205ceacc72f1716d29f20a77bf"
-
 commondir@^1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/commondir/-/commondir-1.0.1.tgz#ddd800da0c66127393cca5950ea968a3aaf1253b"
@@ -971,9 +1188,10 @@ content-type@~1.0.4:
   version "1.0.4"
   resolved "https://registry.yarnpkg.com/content-type/-/content-type-1.0.4.tgz#e138cc75e040c727b1966fe5e5f8c9aee256fe3b"
 
-convert-source-map@^1.6.0:
-  version "1.6.0"
-  resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-1.6.0.tgz#51b537a8c43e0f04dec1993bffcdd504e758ac20"
+convert-source-map@^1.7.0:
+  version "1.7.0"
+  resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-1.7.0.tgz#17a2cb882d7f77d3490585e2ce6c524424a3a442"
+  integrity sha512-4FJkXzKXEDB1snCFZlLP4gpC3JILicCpGbzG9f9G7tGqGCzETQ2hWPrcinA9oU4wtf2biUaEH5065UnMeR33oA==
   dependencies:
     safe-buffer "~5.1.1"
 
@@ -1006,7 +1224,7 @@ create-error-class@^3.0.0:
   dependencies:
     capture-stack-trace "^1.0.0"
 
-cross-spawn@^4, cross-spawn@^4.0.2:
+cross-spawn@^4.0.2:
   version "4.0.2"
   resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-4.0.2.tgz#7b9247621c23adfdd3856004a823cbe397424d41"
   dependencies:
@@ -1031,6 +1249,15 @@ cross-spawn@^6.0.0, cross-spawn@^6.0.5:
     shebang-command "^1.2.0"
     which "^1.2.9"
 
+cross-spawn@^7.0.0:
+  version "7.0.1"
+  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.1.tgz#0ab56286e0f7c24e153d04cc2aa027e43a9a5d14"
+  integrity sha512-u7v4o84SwFpD32Z8IIcPZ6z1/ie24O6RU3RbtL5Y316l3KuHVPx9ItBgWQ6VlfAFnRnTtMUrsQ9MUUTuEZjogg==
+  dependencies:
+    path-key "^3.1.0"
+    shebang-command "^2.0.0"
+    which "^2.0.1"
+
 crypto-random-string@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/crypto-random-string/-/crypto-random-string-1.0.0.tgz#a230f64f568310e1498009940790ec99545bca7e"
@@ -1045,10 +1272,6 @@ dashdash@^1.12.0:
   dependencies:
     assert-plus "^1.0.0"
 
-debug-log@^1.0.1:
-  version "1.0.1"
-  resolved "http://registry.npmjs.org/debug-log/-/debug-log-1.0.1.tgz#2307632d4c04382b8df8a32f70b895046d52745f"
-
 debug@2.6.9, debug@^2.1.2:
   version "2.6.9"
   resolved "https://registry.yarnpkg.com/debug/-/debug-2.6.9.tgz#5d128515df134ff327e90a4c93f4e077a536341f"
@@ -1061,7 +1284,7 @@ debug@3.1.0:
   dependencies:
     ms "2.0.0"
 
-debug@^3.1.0:
+debug@3.2.6, debug@^3.1.0:
   version "3.2.6"
   resolved "https://registry.yarnpkg.com/debug/-/debug-3.2.6.tgz#e83d17de16d8a7efb7717edbe5fb10135eee629b"
   dependencies:
@@ -1077,7 +1300,7 @@ debuglog@^1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/debuglog/-/debuglog-1.0.1.tgz#aa24ffb9ac3df9a2351837cfb2d279360cd78492"
 
-decamelize@^1.1.1:
+decamelize@^1.1.1, decamelize@^1.2.0:
   version "1.2.0"
   resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
 
@@ -1114,11 +1337,12 @@ deepmerge@^4.2.2:
   resolved "https://registry.yarnpkg.com/deepmerge/-/deepmerge-4.2.2.tgz#44d2ea3679b8f4d4ffba33f03d865fc1e7bf4955"
   integrity sha512-FJ3UgI4gIl+PHZm53knsuSFpE+nESMr7M4v9QcgB7S63Kj/6WqMiFQJpBBYz1Pt+66bZpP3Q7Lye0Oo9MPKEdg==
 
-default-require-extensions@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/default-require-extensions/-/default-require-extensions-2.0.0.tgz#f5f8fbb18a7d6d50b21f641f649ebb522cfe24f7"
+default-require-extensions@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/default-require-extensions/-/default-require-extensions-3.0.0.tgz#e03f93aac9b2b6443fc52e5e4a37b3ad9ad8df96"
+  integrity sha512-ek6DpXq/SCpvjhpFsLFRVtIxJCRw6fUR42lYMVZuUMK7n8eMz4Uh5clckdBjEpLhn/gEBZo7hDJnJcwdKLKQjg==
   dependencies:
-    strip-bom "^3.0.0"
+    strip-bom "^4.0.0"
 
 defaults@^1.0.3:
   version "1.0.3"
@@ -1256,12 +1480,6 @@ errno@~0.1.7:
   dependencies:
     prr "~1.0.1"
 
-error-ex@^1.3.1:
-  version "1.3.2"
-  resolved "https://registry.yarnpkg.com/error-ex/-/error-ex-1.3.2.tgz#b4ac40648107fdcdcfae242f428bea8a14d4f1bf"
-  dependencies:
-    is-arrayish "^0.2.1"
-
 es-abstract@^1.17.0-next.1:
   version "1.17.0-next.1"
   resolved "https://registry.yarnpkg.com/es-abstract/-/es-abstract-1.17.0-next.1.tgz#94acc93e20b05a6e96dacb5ab2f1cb3a81fc2172"
@@ -1530,6 +1748,13 @@ file-entry-cache@^5.0.1:
   dependencies:
     flat-cache "^2.0.1"
 
+fill-range@^7.0.1:
+  version "7.0.1"
+  resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-7.0.1.tgz#1919a6a7c75fe38b2c7c77e5198535da9acdda40"
+  integrity sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==
+  dependencies:
+    to-regex-range "^5.0.1"
+
 finalhandler@1.1.1:
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/finalhandler/-/finalhandler-1.1.1.tgz#eebf4ed840079c83f4249038c9d703008301b105"
@@ -1542,29 +1767,38 @@ finalhandler@1.1.1:
     statuses "~1.4.0"
     unpipe "~1.0.0"
 
-find-cache-dir@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/find-cache-dir/-/find-cache-dir-2.0.0.tgz#4c1faed59f45184530fb9d7fa123a4d04a98472d"
+find-cache-dir@^3.2.0:
+  version "3.3.1"
+  resolved "https://registry.yarnpkg.com/find-cache-dir/-/find-cache-dir-3.3.1.tgz#89b33fad4a4670daa94f855f7fbe31d6d84fe880"
+  integrity sha512-t2GDMt3oGC/v+BMwzmllWDuJF/xcDtE5j/fCGbqDD7OLuJkj0cfh1YSA5VKPvwMeLFLNDBkwOKZ2X85jGLVftQ==
   dependencies:
     commondir "^1.0.1"
-    make-dir "^1.0.0"
-    pkg-dir "^3.0.0"
+    make-dir "^3.0.2"
+    pkg-dir "^4.1.0"
 
 find-npm-prefix@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/find-npm-prefix/-/find-npm-prefix-1.0.2.tgz#8d8ce2c78b3b4b9e66c8acc6a37c231eb841cfdf"
 
+find-up@3.0.0, find-up@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/find-up/-/find-up-3.0.0.tgz#49169f1d7993430646da61ecc5ae355c21c97b73"
+  dependencies:
+    locate-path "^3.0.0"
+
 find-up@^2.1.0:
   version "2.1.0"
   resolved "https://registry.yarnpkg.com/find-up/-/find-up-2.1.0.tgz#45d1b7e506c717ddd482775a2b77920a3c0c57a7"
   dependencies:
     locate-path "^2.0.0"
 
-find-up@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/find-up/-/find-up-3.0.0.tgz#49169f1d7993430646da61ecc5ae355c21c97b73"
+find-up@^4.0.0, find-up@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/find-up/-/find-up-4.1.0.tgz#97afe7d6cdc0bc5928584b7c8d7b16e8a9aa5d19"
+  integrity sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==
   dependencies:
-    locate-path "^3.0.0"
+    locate-path "^5.0.0"
+    path-exists "^4.0.0"
 
 flat-cache@^2.0.1:
   version "2.0.1"
@@ -1574,6 +1808,13 @@ flat-cache@^2.0.1:
     rimraf "2.6.3"
     write "1.0.3"
 
+flat@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/flat/-/flat-4.1.0.tgz#090bec8b05e39cba309747f1d588f04dbaf98db2"
+  integrity sha512-Px/TiLIznH7gEDlPXcUD4KnBusa6kR6ayRUVcnEAbreRIuhkqow/mun59BuRXwoYk7ZQOLW1ZM05ilIvK38hFw==
+  dependencies:
+    is-buffer "~2.0.3"
+
 flatted@^2.0.0:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/flatted/-/flatted-2.0.1.tgz#69e57caa8f0eacbc281d2e2cb458d46fdb449e08"
@@ -1591,12 +1832,13 @@ flush-write-stream@^1.0.0:
     inherits "^2.0.3"
     readable-stream "^2.3.6"
 
-foreground-child@^1.5.6:
-  version "1.5.6"
-  resolved "http://registry.npmjs.org/foreground-child/-/foreground-child-1.5.6.tgz#4fd71ad2dfde96789b980a5c0a295937cb2f5ce9"
+foreground-child@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/foreground-child/-/foreground-child-2.0.0.tgz#71b32800c9f15aa8f2f83f4a6bd9bff35d861a53"
+  integrity sha512-dCIq9FpEcyQyXKCkyzmlPTFNgrCzPudOe+mhvJU5zAtlBnGVy2yKxtfsxK2tQBThwq225jcvBjpw1Gr40uzZCA==
   dependencies:
-    cross-spawn "^4"
-    signal-exit "^3.0.0"
+    cross-spawn "^7.0.0"
+    signal-exit "^3.0.2"
 
 forever-agent@~0.6.1:
   version "0.6.1"
@@ -1632,6 +1874,11 @@ from2@^2.1.0, from2@^2.1.1:
     inherits "^2.0.1"
     readable-stream "^2.0.0"
 
+fromentries@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/fromentries/-/fromentries-1.2.0.tgz#e6aa06f240d6267f913cea422075ef88b63e7897"
+  integrity sha512-33X7H/wdfO99GdRLLgkjUrD4geAFdq/Uv0kl3HD4da6HDixd2GUg8Mw7dahLCV9r/EARkmtYBB6Tch4EEokFTQ==
+
 fs-minipass@^1.2.5:
   version "1.2.5"
   resolved "https://registry.yarnpkg.com/fs-minipass/-/fs-minipass-1.2.5.tgz#06c277218454ec288df77ada54a03b8702aacb9d"
@@ -1659,6 +1906,11 @@ fs.realpath@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/fs.realpath/-/fs.realpath-1.0.0.tgz#1504ad2523158caa40db4a2787cb01411994ea4f"
 
+fsevents@~2.1.1:
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/fsevents/-/fsevents-2.1.2.tgz#4c0a1fb34bc68e543b4b82a9ec392bfbda840805"
+  integrity sha512-R4wDiBwZ0KzpgOWetKDug1FZcYhqYnUYKtfZYt4mD5SBz76q0KR4Q9o7GIPamsVPGmW3EYPPJ0dOOjvx32ldZA==
+
 function-bind@^1.1.1:
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/function-bind/-/function-bind-1.1.1.tgz#a56899d3ea3c9bab874bb9773b7c5ede92f4895d"
@@ -1684,6 +1936,11 @@ genfun@^5.0.0:
   version "5.0.0"
   resolved "https://registry.yarnpkg.com/genfun/-/genfun-5.0.0.tgz#9dd9710a06900a5c4a5bf57aca5da4e52fe76537"
 
+gensync@^1.0.0-beta.1:
+  version "1.0.0-beta.1"
+  resolved "https://registry.yarnpkg.com/gensync/-/gensync-1.0.0-beta.1.tgz#58f4361ff987e5ff6e1e7a210827aa371eaac269"
+  integrity sha512-r8EC6NO1sngH/zdD9fiRDLdcgnbayXah+mLgManTaIZJqEC1MZstmnox8KpnI2/fxQwrp5OpCOYWLp4rBl4Jcg==
+
 gentle-fs@^2.3.0:
   version "2.3.0"
   resolved "https://registry.yarnpkg.com/gentle-fs/-/gentle-fs-2.3.0.tgz#13538db5029400f98684be4894e8a7d8f0d1ea7f"
@@ -1704,6 +1961,11 @@ get-caller-file@^1.0.1:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/get-caller-file/-/get-caller-file-1.0.3.tgz#f978fa4c90d1dfe7ff2d6beda2a515e713bdcf4a"
 
+get-caller-file@^2.0.1:
+  version "2.0.5"
+  resolved "https://registry.yarnpkg.com/get-caller-file/-/get-caller-file-2.0.5.tgz#4f94412a82db32f36e3b0b9741f8a97feb031f7e"
+  integrity sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==
+
 get-func-name@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/get-func-name/-/get-func-name-2.0.0.tgz#ead774abee72e20409433a066366023dd6887a41"
@@ -1737,9 +1999,16 @@ glob-parent@^5.0.0:
   dependencies:
     is-glob "^4.0.1"
 
-glob@7.1.2, glob@^7.0.3, glob@^7.0.5, glob@^7.1.1:
-  version "7.1.2"
-  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.2.tgz#c19c9df9a028702d678612384a6552404c636d15"
+glob-parent@~5.1.0:
+  version "5.1.1"
+  resolved "https://registry.yarnpkg.com/glob-parent/-/glob-parent-5.1.1.tgz#b6c1ef417c4e5663ea498f1c45afac6916bbc229"
+  integrity sha512-FnI+VGOpnlGHWZxthPGR+QhR78fuiK0sNLkHQv+bL9fQi57lNNdquIbna/WrfROrolq8GK5Ek6BiMwqL/voRYQ==
+  dependencies:
+    is-glob "^4.0.1"
+
+glob@7.1.3, glob@^7.1.3:
+  version "7.1.3"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.3.tgz#3960832d3f1574108342dafd3a67b332c0969df1"
   dependencies:
     fs.realpath "^1.0.0"
     inflight "^1.0.4"
@@ -1748,9 +2017,9 @@ glob@7.1.2, glob@^7.0.3, glob@^7.0.5, glob@^7.1.1:
     once "^1.3.0"
     path-is-absolute "^1.0.0"
 
-glob@^7.1.3:
-  version "7.1.3"
-  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.3.tgz#3960832d3f1574108342dafd3a67b332c0969df1"
+glob@^7.0.3, glob@^7.0.5, glob@^7.1.1:
+  version "7.1.2"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.2.tgz#c19c9df9a028702d678612384a6552404c636d15"
   dependencies:
     fs.realpath "^1.0.0"
     inflight "^1.0.4"
@@ -1846,16 +2115,6 @@ growl@1.10.5:
   version "1.10.5"
   resolved "https://registry.yarnpkg.com/growl/-/growl-1.10.5.tgz#f2735dc2283674fa67478b10181059355c369e5e"
 
-handlebars@^4.0.11, handlebars@^4.5.3:
-  version "4.7.2"
-  resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.2.tgz#01127b3840156a0927058779482031afe0e730d7"
-  dependencies:
-    neo-async "^2.6.0"
-    optimist "^0.6.1"
-    source-map "^0.6.1"
-  optionalDependencies:
-    uglify-js "^3.1.4"
-
 har-schema@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/har-schema/-/har-schema-2.0.0.tgz#a94c2224ebcac04782a0d9035521f24735b7ec92"
@@ -1878,6 +2137,11 @@ has-flag@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-3.0.0.tgz#b5d454dc2199ae225699f3467e5a07f3b955bafd"
 
+has-flag@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
+  integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
+
 has-symbol-support-x@^1.4.1:
   version "1.4.2"
   resolved "https://registry.yarnpkg.com/has-symbol-support-x/-/has-symbol-support-x-1.4.2.tgz#1409f98bc00247da45da67cee0a36f282ff26455"
@@ -1909,9 +2173,18 @@ hash-base@^3.0.0:
     inherits "^2.0.1"
     safe-buffer "^5.0.1"
 
-he@1.1.1:
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/he/-/he-1.1.1.tgz#93410fd21b009735151f8868c2f271f3427e23fd"
+hasha@^5.0.0:
+  version "5.2.0"
+  resolved "https://registry.yarnpkg.com/hasha/-/hasha-5.2.0.tgz#33094d1f69c40a4a6ac7be53d5fe3ff95a269e0c"
+  integrity sha512-2W+jKdQbAdSIrggA8Q35Br8qKadTrqCTC8+XZvBWepKDK6m9XkX6Iz1a2yh2KP01kzAR/dpuMeUnocoLYDcskw==
+  dependencies:
+    is-stream "^2.0.0"
+    type-fest "^0.8.0"
+
+he@1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/he/-/he-1.2.0.tgz#84ae65fa7eafb165fddb61566ae14baf05664f0f"
+  integrity sha512-F/1DnUGPopORZi0ni+CvrCgHQ5FyEAHRLSApuYWMmrbSwoN2Mn/7k+Gl38gJnR7yyDZk6WLXwiGod1JOWNDKGw==
 
 hoek@2.x.x, hoek@^4.2.1:
   version "4.2.1"
@@ -1925,6 +2198,11 @@ hosted-git-info@^2.7.1, hosted-git-info@^2.8.5:
   version "2.8.5"
   resolved "https://registry.yarnpkg.com/hosted-git-info/-/hosted-git-info-2.8.5.tgz#759cfcf2c4d156ade59b0b2dfabddc42a6b9c70c"
 
+html-escaper@^2.0.0:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/html-escaper/-/html-escaper-2.0.2.tgz#dfd60027da36a36dfcbe236262c00a5822681453"
+  integrity sha512-H2iMtd0I4Mt5eYiapRdIDjp+XzelXQ0tFE4JS7YFwFevXXMmOp9myNrUvCg0D6ws8iqkRPBfKHgbwig1SmlLfg==
+
 http-cache-semantics@3.8.1, http-cache-semantics@^3.8.1:
   version "3.8.1"
   resolved "https://registry.yarnpkg.com/http-cache-semantics/-/http-cache-semantics-3.8.1.tgz#39b0e16add9b605bf0a9ef3d9daaf4843b4cacd2"
@@ -2028,6 +2306,11 @@ indent-string@^3.0.0:
   version "3.2.0"
   resolved "https://registry.yarnpkg.com/indent-string/-/indent-string-3.2.0.tgz#4a5fd6d27cc332f37e5419a504dbb837105c9289"
 
+indent-string@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/indent-string/-/indent-string-4.0.0.tgz#624f8f4497d619b2d9768531d58f4122854d7251"
+  integrity sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg==
+
 infer-owner@^1.0.3, infer-owner@^1.0.4:
   version "1.0.4"
   resolved "https://registry.yarnpkg.com/infer-owner/-/infer-owner-1.0.4.tgz#c4cefcaa8e51051c2a40ba2ce8a3d27295af9467"
@@ -2089,10 +2372,6 @@ into-stream@^3.1.0:
     from2 "^2.1.1"
     p-is-promise "^1.1.0"
 
-invert-kv@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/invert-kv/-/invert-kv-1.0.0.tgz#104a8e4aaca6d3d8cd157a8ef8bfab2d7a3ffdb6"
-
 invert-kv@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/invert-kv/-/invert-kv-2.0.0.tgz#7393f5afa59ec9ff5f67a27620d11c226e3eec02"
@@ -2109,15 +2388,17 @@ ipaddr.js@1.6.0:
   version "1.6.0"
   resolved "https://registry.yarnpkg.com/ipaddr.js/-/ipaddr.js-1.6.0.tgz#e3fa357b773da619f26e95f049d055c72796f86b"
 
-is-arrayish@^0.2.1:
-  version "0.2.1"
-  resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d"
-
-is-builtin-module@^1.0.0:
-  version "1.0.0"
-  resolved "http://registry.npmjs.org/is-builtin-module/-/is-builtin-module-1.0.0.tgz#540572d34f7ac3119f8f76c30cbc1b1e037affbe"
+is-binary-path@~2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-binary-path/-/is-binary-path-2.1.0.tgz#ea1f7f3b80f064236e83470f86c09c254fb45b09"
+  integrity sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==
   dependencies:
-    builtin-modules "^1.0.0"
+    binary-extensions "^2.0.0"
+
+is-buffer@~2.0.3:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/is-buffer/-/is-buffer-2.0.4.tgz#3e572f23c8411a5cfd9557c849e3665e0b290623"
+  integrity sha512-Kq1rokWXOPXWuaMAqZiJW4XxsmD9zGx9q4aePabbn3qCRGedtH7Cm+zV8WETitMfu1wdh+Rvd6w5egwSngUX2A==
 
 is-callable@^1.1.4:
   version "1.1.4"
@@ -2163,7 +2444,7 @@ is-glob@^3.1.0:
   dependencies:
     is-extglob "^2.1.0"
 
-is-glob@^4.0.0, is-glob@^4.0.1:
+is-glob@^4.0.0, is-glob@^4.0.1, is-glob@~4.0.1:
   version "4.0.1"
   resolved "https://registry.yarnpkg.com/is-glob/-/is-glob-4.0.1.tgz#7567dbe9f2f5e2467bc77ab83c4a29482407a5dc"
   dependencies:
@@ -2180,6 +2461,11 @@ is-npm@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/is-npm/-/is-npm-1.0.0.tgz#f2fb63a65e4905b406c86072765a1a4dc793b9f4"
 
+is-number@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.yarnpkg.com/is-number/-/is-number-7.0.0.tgz#7535345b896734d5f80c4d06c50955527a14f12b"
+  integrity sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==
+
 is-obj@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/is-obj/-/is-obj-1.0.1.tgz#3e4729ac1f5fde025cd7d83a896dab9f4f67db0f"
@@ -2224,16 +2510,26 @@ is-stream@^1.0.0, is-stream@^1.1.0:
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-1.1.0.tgz#12d4a3dd4e68e0b79ceb8dbc84173ae80d91ca44"
 
+is-stream@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.0.tgz#bde9c32680d6fae04129d6ac9d921ce7815f78e3"
+  integrity sha512-XCoy+WlUr7d1+Z8GgSuXmpuUFC9fOhRXglJMx+dwLKTkL44Cjd4W1Z5P+BQZpr+cR93aGP4S/s7Ftw6Nd/kiEw==
+
 is-symbol@^1.0.2:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/is-symbol/-/is-symbol-1.0.3.tgz#38e1014b9e6329be0de9d24a414fd7441ec61937"
   dependencies:
     has-symbols "^1.0.1"
 
-is-typedarray@~1.0.0:
+is-typedarray@^1.0.0, is-typedarray@~1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/is-typedarray/-/is-typedarray-1.0.0.tgz#e479c80858df0c1b11ddda6940f96011fcda4a9a"
 
+is-windows@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/is-windows/-/is-windows-1.0.2.tgz#d1850eb9791ecd18e6182ce12a30f396634bb19d"
+  integrity sha512-eXK1UInq2bPmjyX6e3VHIzMLobc4J94i4AWn+Hpq3OU5KkrRC96OAcR3PRJ/pGu6m8TRnBHP9dkXQVsT/COVIA==
+
 is@^3.2.1:
   version "3.3.0"
   resolved "https://registry.yarnpkg.com/is/-/is-3.3.0.tgz#61cff6dd3c4193db94a3d62582072b44e5645d79"
@@ -2258,51 +2554,69 @@ isstream@~0.1.2:
   version "0.1.2"
   resolved "https://registry.yarnpkg.com/isstream/-/isstream-0.1.2.tgz#47e63f7af55afa6f92e1500e690eb8b8529c099a"
 
-istanbul-lib-coverage@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/istanbul-lib-coverage/-/istanbul-lib-coverage-2.0.1.tgz#2aee0e073ad8c5f6a0b00e0dfbf52b4667472eda"
+istanbul-lib-coverage@^3.0.0, istanbul-lib-coverage@^3.0.0-alpha.1:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-coverage/-/istanbul-lib-coverage-3.0.0.tgz#f5944a37c70b550b02a78a5c3b2055b280cec8ec"
+  integrity sha512-UiUIqxMgRDET6eR+o5HbfRYP1l0hqkWOs7vNxC/mggutCMUIhWMm8gAHb8tHlyfD3/l6rlgNA5cKdDzEAf6hEg==
 
-istanbul-lib-hook@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/istanbul-lib-hook/-/istanbul-lib-hook-2.0.1.tgz#918a57b75a0f951d552a08487ca1fa5336433d72"
+istanbul-lib-hook@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-hook/-/istanbul-lib-hook-3.0.0.tgz#8f84c9434888cc6b1d0a9d7092a76d239ebf0cc6"
+  integrity sha512-Pt/uge1Q9s+5VAZ+pCo16TYMWPBIl+oaNIjgLQxcX0itS6ueeaA+pEfThZpH8WxhFgCiEb8sAJY6MdUKgiIWaQ==
   dependencies:
-    append-transform "^1.0.0"
+    append-transform "^2.0.0"
 
-istanbul-lib-instrument@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/istanbul-lib-instrument/-/istanbul-lib-instrument-3.0.0.tgz#b5f066b2a161f75788be17a9d556f40a0cf2afc9"
-  dependencies:
-    "@babel/generator" "^7.0.0"
-    "@babel/parser" "^7.0.0"
-    "@babel/template" "^7.0.0"
-    "@babel/traverse" "^7.0.0"
-    "@babel/types" "^7.0.0"
-    istanbul-lib-coverage "^2.0.1"
-    semver "^5.5.0"
+istanbul-lib-instrument@^4.0.0:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-instrument/-/istanbul-lib-instrument-4.0.1.tgz#61f13ac2c96cfefb076fe7131156cc05907874e6"
+  integrity sha512-imIchxnodll7pvQBYOqUu88EufLCU56LMeFPZZM/fJZ1irYcYdqroaV+ACK1Ila8ls09iEYArp+nqyC6lW1Vfg==
+  dependencies:
+    "@babel/core" "^7.7.5"
+    "@babel/parser" "^7.7.5"
+    "@babel/template" "^7.7.4"
+    "@babel/traverse" "^7.7.4"
+    "@istanbuljs/schema" "^0.1.2"
+    istanbul-lib-coverage "^3.0.0"
+    semver "^6.3.0"
 
-istanbul-lib-report@^2.0.2:
+istanbul-lib-processinfo@^2.0.2:
   version "2.0.2"
-  resolved "https://registry.yarnpkg.com/istanbul-lib-report/-/istanbul-lib-report-2.0.2.tgz#430a2598519113e1da7af274ba861bd42dd97535"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-processinfo/-/istanbul-lib-processinfo-2.0.2.tgz#e1426514662244b2f25df728e8fd1ba35fe53b9c"
+  integrity sha512-kOwpa7z9hme+IBPZMzQ5vdQj8srYgAtaRqeI48NGmAQ+/5yKiHLV0QbYqQpxsdEF0+w14SoB8YbnHKcXE2KnYw==
   dependencies:
-    istanbul-lib-coverage "^2.0.1"
-    make-dir "^1.3.0"
-    supports-color "^5.4.0"
+    archy "^1.0.0"
+    cross-spawn "^7.0.0"
+    istanbul-lib-coverage "^3.0.0-alpha.1"
+    make-dir "^3.0.0"
+    p-map "^3.0.0"
+    rimraf "^3.0.0"
+    uuid "^3.3.3"
 
-istanbul-lib-source-maps@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/istanbul-lib-source-maps/-/istanbul-lib-source-maps-2.0.1.tgz#ce8b45131d8293fdeaa732f4faf1852d13d0a97e"
+istanbul-lib-report@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-report/-/istanbul-lib-report-3.0.0.tgz#7518fe52ea44de372f460a76b5ecda9ffb73d8a6"
+  integrity sha512-wcdi+uAKzfiGT2abPpKZ0hSU1rGQjUQnLvtY5MpQ7QCTahD3VODhcu4wcfY1YtkGaDD5yuydOLINXsfbus9ROw==
   dependencies:
-    debug "^3.1.0"
-    istanbul-lib-coverage "^2.0.1"
-    make-dir "^1.3.0"
-    rimraf "^2.6.2"
+    istanbul-lib-coverage "^3.0.0"
+    make-dir "^3.0.0"
+    supports-color "^7.1.0"
+
+istanbul-lib-source-maps@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/istanbul-lib-source-maps/-/istanbul-lib-source-maps-4.0.0.tgz#75743ce6d96bb86dc7ee4352cf6366a23f0b1ad9"
+  integrity sha512-c16LpFRkR8vQXyHZ5nLpY35JZtzj1PQY1iZmesUbf1FZHbIupcWfjgOXBY9YHkLEQ6puz1u4Dgj6qmU/DisrZg==
+  dependencies:
+    debug "^4.1.1"
+    istanbul-lib-coverage "^3.0.0"
     source-map "^0.6.1"
 
-istanbul-reports@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/istanbul-reports/-/istanbul-reports-2.0.1.tgz#fb8d6ea850701a3984350b977a969e9a556116a7"
+istanbul-reports@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/istanbul-reports/-/istanbul-reports-3.0.1.tgz#1343217244ad637e0c3b18e7f6b746941a9b5e9a"
+  integrity sha512-Vm9xwCiQ8t2cNNnckyeAV0UdxKpcQUz4nMxsBvIu8n2kmPSiyb5uaF/8LpmKr+yqL/MdOXaX2Nmdo4Qyxium9Q==
   dependencies:
-    handlebars "^4.0.11"
+    html-escaper "^2.0.0"
+    istanbul-lib-report "^3.0.0"
 
 isurl@^1.0.0-alpha5:
   version "1.0.0"
@@ -2328,7 +2642,7 @@ js-tokens@^4.0.0:
   version "4.0.0"
   resolved "https://registry.yarnpkg.com/js-tokens/-/js-tokens-4.0.0.tgz#19203fb59991df98e3a287050d4647cdeaf32499"
 
-js-yaml@^3.10.0, js-yaml@^3.13.1:
+js-yaml@3.13.1, js-yaml@^3.10.0, js-yaml@^3.13.1:
   version "3.13.1"
   resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-3.13.1.tgz#aff151b30bfdfa8e49e05da22e7415e9dfa37847"
   dependencies:
@@ -2377,6 +2691,13 @@ json-stringify-safe@~5.0.1:
   version "5.0.1"
   resolved "https://registry.yarnpkg.com/json-stringify-safe/-/json-stringify-safe-5.0.1.tgz#1296a2d58fd45f19a0f6ce01d65701e2c735b6eb"
 
+json5@^2.1.2:
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/json5/-/json5-2.1.2.tgz#43ef1f0af9835dd624751a6b7fa48874fb2d608e"
+  integrity sha512-MoUOQ4WdiN3yxhm7NEVJSJrieAo5hNSLQ5sj05OTRHPL9HOBy8u4Bu88jsC1jvqAdN+E1bJmsUcZH+1HQxliqQ==
+  dependencies:
+    minimist "^1.2.5"
+
 jsonparse@^1.2.0:
   version "1.3.1"
   resolved "https://registry.yarnpkg.com/jsonparse/-/jsonparse-1.3.1.tgz#3f4dae4a91fac315f71062f8521cc239f1366280"
@@ -2422,12 +2743,6 @@ lazy-property@~1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/lazy-property/-/lazy-property-1.0.0.tgz#84ddc4b370679ba8bd4cdcfa4c06b43d57111147"
 
-lcid@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/lcid/-/lcid-1.0.0.tgz#308accafa0bc483a3867b4b6f2b9506251d1b835"
-  dependencies:
-    invert-kv "^1.0.0"
-
 lcid@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/lcid/-/lcid-2.0.0.tgz#6ef5d2df60e52f82eb228a4c373e8d1f397253cf"
@@ -2565,15 +2880,6 @@ libnpx@10.2.0, libnpx@^10.2.0:
     y18n "^4.0.0"
     yargs "^11.0.0"
 
-load-json-file@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.yarnpkg.com/load-json-file/-/load-json-file-4.0.0.tgz#2f5f45ab91e33216234fd53adab668eb4ec0993b"
-  dependencies:
-    graceful-fs "^4.1.2"
-    parse-json "^4.0.0"
-    pify "^3.0.0"
-    strip-bom "^3.0.0"
-
 locate-path@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/locate-path/-/locate-path-2.0.0.tgz#2b568b265eec944c6d9c0de9c3dbbbca0354cd8e"
@@ -2588,6 +2894,13 @@ locate-path@^3.0.0:
     p-locate "^3.0.0"
     path-exists "^3.0.0"
 
+locate-path@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/locate-path/-/locate-path-5.0.0.tgz#1afba396afd676a6d42504d0a67a3a7eb9f62aa0"
+  integrity sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==
+  dependencies:
+    p-locate "^4.1.0"
+
 lock-verify@^2.0.2, lock-verify@^2.1.0:
   version "2.1.0"
   resolved "https://registry.yarnpkg.com/lock-verify/-/lock-verify-2.1.0.tgz#fff4c918b8db9497af0c5fa7f6d71555de3ceb47"
@@ -2676,10 +2989,17 @@ lodash.without@~4.4.0:
   version "4.4.0"
   resolved "https://registry.yarnpkg.com/lodash.without/-/lodash.without-4.4.0.tgz#3cd4574a00b67bae373a94b748772640507b7aac"
 
-lodash@^4.17.10, lodash@^4.17.11, lodash@^4.17.13, lodash@^4.17.14, lodash@^4.17.15:
+lodash@^4.17.11, lodash@^4.17.13, lodash@^4.17.14, lodash@^4.17.15:
   version "4.17.14"
   resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.14.tgz#9ce487ae66c96254fe20b599f21b6816028078ba"
 
+log-symbols@3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/log-symbols/-/log-symbols-3.0.0.tgz#f3a08516a5dea893336a7dee14d18a1cfdab77c4"
+  integrity sha512-dSkNGuI7iG3mfvDzUuYZyvk5dD9ocYCYzNU6CYDE6+Xqd+gwme6Z00NS3dUh8mq/73HaEtT7m6W+yUPtU6BZnQ==
+  dependencies:
+    chalk "^2.4.2"
+
 long@^4.0.0:
   version "4.0.0"
   resolved "https://registry.yarnpkg.com/long/-/long-4.0.0.tgz#9a7b71cfb7d361a194ea555241c92f7468d5bf28"
@@ -2712,12 +3032,19 @@ lru-cache@^5.1.1:
   dependencies:
     yallist "^3.0.2"
 
-make-dir@^1.0.0, make-dir@^1.3.0:
+make-dir@^1.0.0:
   version "1.3.0"
   resolved "https://registry.yarnpkg.com/make-dir/-/make-dir-1.3.0.tgz#79c1033b80515bd6d24ec9933e860ca75ee27f0c"
   dependencies:
     pify "^3.0.0"
 
+make-dir@^3.0.0, make-dir@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/make-dir/-/make-dir-3.0.2.tgz#04a1acbf22221e1d6ef43559f43e05a90dbb4392"
+  integrity sha512-rYKABKutXa6vXTXhoV18cBE7PaewPXHe/Bdq4v+ZLMhxbWApkFFplT0LcbMW+6BbjnQXzZ/sAvSE/JdguApG5w==
+  dependencies:
+    semver "^6.0.0"
+
 make-error@^1.1.1:
   version "1.3.4"
   resolved "https://registry.yarnpkg.com/make-error/-/make-error-1.3.4.tgz#19978ed575f9e9545d2ff8c13e33b5d18a67d535"
@@ -2744,16 +3071,6 @@ map-age-cleaner@^0.1.1:
   dependencies:
     p-defer "^1.0.0"
 
-md5-hex@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/md5-hex/-/md5-hex-2.0.0.tgz#d0588e9f1c74954492ecd24ac0ac6ce997d92e33"
-  dependencies:
-    md5-o-matic "^0.1.1"
-
-md5-o-matic@^0.1.1:
-  version "0.1.1"
-  resolved "https://registry.yarnpkg.com/md5-o-matic/-/md5-o-matic-0.1.1.tgz#822bccd65e117c514fab176b25945d54100a03c3"
-
 md5.js@1.3.4:
   version "1.3.4"
   resolved "http://registry.npmjs.org/md5.js/-/md5.js-1.3.4.tgz#e9bdbde94a20a5ac18b04340fc5764d5b09d901d"
@@ -2769,7 +3086,7 @@ media-typer@0.3.0:
   version "0.3.0"
   resolved "https://registry.yarnpkg.com/media-typer/-/media-typer-0.3.0.tgz#8710d7af0aa626f8fffa1ce00168545263255748"
 
-mem@^1.1.0, mem@^4.0.0:
+mem@^4.0.0:
   version "4.3.0"
   resolved "https://registry.yarnpkg.com/mem/-/mem-4.3.0.tgz#461af497bc4ae09608cdb2e60eefb69bff744178"
   dependencies:
@@ -2781,12 +3098,6 @@ merge-descriptors@1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/merge-descriptors/-/merge-descriptors-1.0.1.tgz#b00aaa556dd8b44568150ec9d1b953f3f90cbb61"
 
-merge-source-map@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/merge-source-map/-/merge-source-map-1.1.0.tgz#2fdde7e6020939f70906a68f2d7ae685e4c8c646"
-  dependencies:
-    source-map "^0.6.1"
-
 methods@~1.1.2:
   version "1.1.2"
   resolved "https://registry.yarnpkg.com/methods/-/methods-1.1.2.tgz#5529a4d67654134edcc5266656835b0f851afcee"
@@ -2829,17 +3140,10 @@ minimatch@3.0.4, minimatch@^3.0.4:
   dependencies:
     brace-expansion "^1.1.7"
 
-minimist@0.0.8:
-  version "0.0.8"
-  resolved "https://registry.yarnpkg.com/minimist/-/minimist-0.0.8.tgz#857fcabfc3397d2625b8228262e86aa7a011b05d"
-
-minimist@^1.2.0:
-  version "1.2.0"
-  resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.0.tgz#a35008b20f41383eec1fb914f4cd5df79a264284"
-
-minimist@~0.0.1:
-  version "0.0.10"
-  resolved "http://registry.npmjs.org/minimist/-/minimist-0.0.10.tgz#de3f98543dbf96082be48ad1a0c7cda836301dcf"
+minimist@^1.2.0, minimist@^1.2.5:
+  version "1.2.5"
+  resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.5.tgz#67d66014b66a6a8aaa0c083c5fd58df4e4e97602"
+  integrity sha1-Z9ZgFLZqaoqqDAg8X9WN9OTpdgI=
 
 minipass@^2.2.1, minipass@^2.3.3:
   version "2.3.3"
@@ -2882,27 +3186,42 @@ mississippi@^3.0.0:
     stream-each "^1.1.0"
     through2 "^2.0.0"
 
-mkdirp@0.5.1, mkdirp@^0.5.0, mkdirp@^0.5.1, mkdirp@~0.5.0, mkdirp@~0.5.1:
-  version "0.5.1"
-  resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-0.5.1.tgz#30057438eac6cf7f8c4767f38648d6697d75c903"
+mkdirp@0.5.3, mkdirp@^0.5.0, mkdirp@^0.5.1, mkdirp@~0.5.0, mkdirp@~0.5.1:
+  version "0.5.3"
+  resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-0.5.3.tgz#5a514b7179259287952881e94410ec5465659f8c"
+  integrity sha512-P+2gwrFqx8lhew375MQHHeTlY8AuOJSrGf0R5ddkEndUkmwpgUob/vQuBD1V22/Cw1/lJr4x+EjllSezBThzBg==
   dependencies:
-    minimist "0.0.8"
+    minimist "^1.2.5"
 
-mocha@^5.2.0:
-  version "5.2.0"
-  resolved "https://registry.yarnpkg.com/mocha/-/mocha-5.2.0.tgz#6d8ae508f59167f940f2b5b3c4a612ae50c90ae6"
+mocha@^7.1.1:
+  version "7.1.1"
+  resolved "https://registry.yarnpkg.com/mocha/-/mocha-7.1.1.tgz#89fbb30d09429845b1bb893a830bf5771049a441"
+  integrity sha512-3qQsu3ijNS3GkWcccT5Zw0hf/rWvu1fTN9sPvEd81hlwsr30GX2GcDSSoBxo24IR8FelmrAydGC6/1J5QQP4WA==
   dependencies:
+    ansi-colors "3.2.3"
     browser-stdout "1.3.1"
-    commander "2.15.1"
-    debug "3.1.0"
+    chokidar "3.3.0"
+    debug "3.2.6"
     diff "3.5.0"
     escape-string-regexp "1.0.5"
-    glob "7.1.2"
+    find-up "3.0.0"
+    glob "7.1.3"
     growl "1.10.5"
-    he "1.1.1"
+    he "1.2.0"
+    js-yaml "3.13.1"
+    log-symbols "3.0.0"
     minimatch "3.0.4"
-    mkdirp "0.5.1"
-    supports-color "5.4.0"
+    mkdirp "0.5.3"
+    ms "2.1.1"
+    node-environment-flags "1.0.6"
+    object.assign "4.1.0"
+    strip-json-comments "2.0.1"
+    supports-color "6.0.0"
+    which "1.3.1"
+    wide-align "1.1.3"
+    yargs "13.3.2"
+    yargs-parser "13.1.2"
+    yargs-unparser "1.6.0"
 
 moment@2.x.x:
   version "2.22.2"
@@ -2923,14 +3242,14 @@ ms@2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.0.0.tgz#5608aeadfc00be6c2901df5f9861788de0d597c8"
 
+ms@2.1.1, ms@^2.1.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.1.tgz#30a5864eb3ebb0a66f2ebe6d727af06a09d86e0a"
+
 ms@^2.0.0:
   version "2.1.2"
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.2.tgz#d09d1f357b443f493382a8eb3ccd183872ae6009"
 
-ms@^2.1.1:
-  version "2.1.1"
-  resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.1.tgz#30a5864eb3ebb0a66f2ebe6d727af06a09d86e0a"
-
 mute-stream@0.0.8, mute-stream@~0.0.4:
   version "0.0.8"
   resolved "https://registry.yarnpkg.com/mute-stream/-/mute-stream-0.0.8.tgz#1630c42b2251ff81e2a283de96a5497ea92e5e0d"
@@ -2955,14 +3274,18 @@ negotiator@0.6.1:
   version "0.6.1"
   resolved "https://registry.yarnpkg.com/negotiator/-/negotiator-0.6.1.tgz#2b327184e8992101177b28563fb5e7102acd0ca9"
 
-neo-async@^2.6.0:
-  version "2.6.1"
-  resolved "https://registry.yarnpkg.com/neo-async/-/neo-async-2.6.1.tgz#ac27ada66167fa8849a6addd837f6b189ad2081c"
-
 nice-try@^1.0.4:
   version "1.0.5"
   resolved "https://registry.yarnpkg.com/nice-try/-/nice-try-1.0.5.tgz#a3378a7696ce7d223e88fc9b764bd7ef1089e366"
 
+node-environment-flags@1.0.6:
+  version "1.0.6"
+  resolved "https://registry.yarnpkg.com/node-environment-flags/-/node-environment-flags-1.0.6.tgz#a30ac13621f6f7d674260a54dede048c3982c088"
+  integrity sha512-5Evy2epuL+6TM0lCQGpFIj6KwiEsGh1SrHUhTbNX+sLbBtjidPZFAnVK9y5yU1+h//RitLbRHTIMyxQPtxMdHw==
+  dependencies:
+    object.getownpropertydescriptors "^2.0.3"
+    semver "^5.7.0"
+
 node-fetch-npm@^2.0.2:
   version "2.0.2"
   resolved "https://registry.yarnpkg.com/node-fetch-npm/-/node-fetch-npm-2.0.2.tgz#7258c9046182dca345b4208eda918daf33697ff7"
@@ -3026,6 +3349,13 @@ node-pre-gyp@^0.10.3:
     semver "^5.3.0"
     tar "^4"
 
+node-preload@^0.2.0:
+  version "0.2.1"
+  resolved "https://registry.yarnpkg.com/node-preload/-/node-preload-0.2.1.tgz#c03043bb327f417a18fee7ab7ee57b408a144301"
+  integrity sha512-RM5oyBy45cLEoHqCeh+MNuFAxO0vTFBLskvQbOKnEE7YTTSN4tbN8QWDIPQ6L+WvKsB/qLEGpYe2ZZ9d4W9OIQ==
+  dependencies:
+    process-on-spawn "^1.0.0"
+
 node-version@^1.0.0:
   version "1.2.0"
   resolved "https://registry.yarnpkg.com/node-version/-/node-version-1.2.0.tgz#34fde3ffa8e1149bd323983479dda620e1b5060d"
@@ -3059,14 +3389,10 @@ normalize-package-data@^2.0.0, normalize-package-data@^2.4.0, normalize-package-
     semver "2 || 3 || 4 || 5"
     validate-npm-package-license "^3.0.1"
 
-normalize-package-data@^2.3.2:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/normalize-package-data/-/normalize-package-data-2.4.0.tgz#12f95a307d58352075a04907b84ac8be98ac012f"
-  dependencies:
-    hosted-git-info "^2.1.4"
-    is-builtin-module "^1.0.0"
-    semver "2 || 3 || 4 || 5"
-    validate-npm-package-license "^3.0.1"
+normalize-path@^3.0.0, normalize-path@~3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/normalize-path/-/normalize-path-3.0.0.tgz#0dcd69ff23a1c9b11fd0978316644a0388216a65"
+  integrity sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==
 
 normalize-url@2.0.1:
   version "2.0.1"
@@ -3319,35 +3645,39 @@ number-is-nan@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/number-is-nan/-/number-is-nan-1.0.1.tgz#097b602b53422a522c1afb8790318336941a011d"
 
-nyc@^13.1.0:
-  version "13.1.0"
-  resolved "https://registry.yarnpkg.com/nyc/-/nyc-13.1.0.tgz#463665c7ff6b5798e322624a5eb449a678db90e3"
-  dependencies:
-    archy "^1.0.0"
-    arrify "^1.0.1"
-    caching-transform "^2.0.0"
-    convert-source-map "^1.6.0"
-    debug-log "^1.0.1"
-    find-cache-dir "^2.0.0"
-    find-up "^3.0.0"
-    foreground-child "^1.5.6"
-    glob "^7.1.3"
-    istanbul-lib-coverage "^2.0.1"
-    istanbul-lib-hook "^2.0.1"
-    istanbul-lib-instrument "^3.0.0"
-    istanbul-lib-report "^2.0.2"
-    istanbul-lib-source-maps "^2.0.1"
-    istanbul-reports "^2.0.1"
-    make-dir "^1.3.0"
-    merge-source-map "^1.1.0"
-    resolve-from "^4.0.0"
-    rimraf "^2.6.2"
+nyc@^15.0.0:
+  version "15.0.0"
+  resolved "https://registry.yarnpkg.com/nyc/-/nyc-15.0.0.tgz#eb32db2c0f29242c2414fe46357f230121cfc162"
+  integrity sha512-qcLBlNCKMDVuKb7d1fpxjPR8sHeMVX0CHarXAVzrVWoFrigCkYR8xcrjfXSPi5HXM7EU78L6ywO7w1c5rZNCNg==
+  dependencies:
+    "@istanbuljs/load-nyc-config" "^1.0.0"
+    "@istanbuljs/schema" "^0.1.2"
+    caching-transform "^4.0.0"
+    convert-source-map "^1.7.0"
+    decamelize "^1.2.0"
+    find-cache-dir "^3.2.0"
+    find-up "^4.1.0"
+    foreground-child "^2.0.0"
+    glob "^7.1.6"
+    istanbul-lib-coverage "^3.0.0"
+    istanbul-lib-hook "^3.0.0"
+    istanbul-lib-instrument "^4.0.0"
+    istanbul-lib-processinfo "^2.0.2"
+    istanbul-lib-report "^3.0.0"
+    istanbul-lib-source-maps "^4.0.0"
+    istanbul-reports "^3.0.0"
+    js-yaml "^3.13.1"
+    make-dir "^3.0.0"
+    node-preload "^0.2.0"
+    p-map "^3.0.0"
+    process-on-spawn "^1.0.0"
+    resolve-from "^5.0.0"
+    rimraf "^3.0.0"
     signal-exit "^3.0.2"
-    spawn-wrap "^1.4.2"
-    test-exclude "^5.0.0"
-    uuid "^3.3.2"
-    yargs "11.1.0"
-    yargs-parser "^9.0.2"
+    spawn-wrap "^2.0.0"
+    test-exclude "^6.0.0"
+    uuid "^3.3.3"
+    yargs "^15.0.2"
 
 oauth-sign@~0.8.2:
   version "0.8.2"
@@ -3369,7 +3699,7 @@ object-keys@^1.0.11, object-keys@^1.0.12, object-keys@^1.1.1:
   version "1.1.1"
   resolved "https://registry.yarnpkg.com/object-keys/-/object-keys-1.1.1.tgz#1c47f272df277f3b1daf061677d9c82e2322c60e"
 
-object.assign@^4.1.0:
+object.assign@4.1.0, object.assign@^4.1.0:
   version "4.1.0"
   resolved "https://registry.yarnpkg.com/object.assign/-/object.assign-4.1.0.tgz#968bf1100d7956bb3ca086f006f846b3bc4008da"
   dependencies:
@@ -3425,13 +3755,6 @@ openid-client@^2.4.4:
     oidc-token-hash "^3.0.1"
     p-any "^1.1.0"
 
-optimist@^0.6.1:
-  version "0.6.1"
-  resolved "https://registry.yarnpkg.com/optimist/-/optimist-0.6.1.tgz#da3ea74686fa21a19a111c326e90eb15a0196686"
-  dependencies:
-    minimist "~0.0.1"
-    wordwrap "~0.0.2"
-
 optionator@^0.8.3:
   version "0.8.3"
   resolved "https://registry.yarnpkg.com/optionator/-/optionator-0.8.3.tgz#84fa1d036fe9d3c7e21d99884b601167ec8fb495"
@@ -3443,18 +3766,10 @@ optionator@^0.8.3:
     type-check "~0.3.2"
     word-wrap "~1.2.3"
 
-os-homedir@^1.0.0, os-homedir@^1.0.1:
+os-homedir@^1.0.0:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/os-homedir/-/os-homedir-1.0.2.tgz#ffbc4988336e0e833de0c168c7ef152121aa7fb3"
 
-os-locale@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.yarnpkg.com/os-locale/-/os-locale-2.1.0.tgz#42bc2900a6b5b8bd17376c8e882b65afccf24bf2"
-  dependencies:
-    execa "^0.7.0"
-    lcid "^1.0.0"
-    mem "^1.1.0"
-
 os-locale@^3.1.0:
   version "3.1.0"
   resolved "https://registry.yarnpkg.com/os-locale/-/os-locale-3.1.0.tgz#a802a6ee17f24c10483ab9935719cef4ed16bf1a"
@@ -3512,6 +3827,13 @@ p-limit@^2.0.0:
   dependencies:
     p-try "^2.0.0"
 
+p-limit@^2.2.0:
+  version "2.2.2"
+  resolved "https://registry.yarnpkg.com/p-limit/-/p-limit-2.2.2.tgz#61279b67721f5287aa1c13a9a7fbbc48c9291b1e"
+  integrity sha512-WGR+xHecKTr7EbUEhyLSh5Dube9JtdiG78ufaeLxTgpudf/20KqyMioIUZJAezlTIi6evxuoUs9YXc11cU+yzQ==
+  dependencies:
+    p-try "^2.0.0"
+
 p-locate@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/p-locate/-/p-locate-2.0.0.tgz#20a0103b222a70c8fd39cc2e580680f3dde5ec43"
@@ -3524,6 +3846,20 @@ p-locate@^3.0.0:
   dependencies:
     p-limit "^2.0.0"
 
+p-locate@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/p-locate/-/p-locate-4.1.0.tgz#a3428bb7088b3a60292f66919278b7c297ad4f07"
+  integrity sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==
+  dependencies:
+    p-limit "^2.2.0"
+
+p-map@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/p-map/-/p-map-3.0.0.tgz#d704d9af8a2ba684e2600d9a215983d4141a979d"
+  integrity sha512-d3qXVTF/s+W+CdJ5A29wywV2n8CQQYahlgz2bFiA+4eVNJbHJodPZ+/gXwPGh0bOqA+j8S+6+ckmvLGPk1QpxQ==
+  dependencies:
+    aggregate-error "^3.0.0"
+
 p-some@^2.0.0:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/p-some/-/p-some-2.0.1.tgz#65d87c8b154edbcf5221d167778b6d2e150f6f06"
@@ -3544,13 +3880,14 @@ p-try@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/p-try/-/p-try-2.0.0.tgz#85080bb87c64688fa47996fe8f7dfbe8211760b1"
 
-package-hash@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/package-hash/-/package-hash-2.0.0.tgz#78ae326c89e05a4d813b68601977af05c00d2a0d"
+package-hash@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/package-hash/-/package-hash-4.0.0.tgz#3537f654665ec3cc38827387fc904c163c54f506"
+  integrity sha512-whdkPIooSu/bASggZ96BWVvZTRMOFxnyUG5PnTSGKoJE2gd5mbVNmR2Nj20QFzxYYgAXpoqC+AiXzl+UMRh7zQ==
   dependencies:
-    graceful-fs "^4.1.11"
+    graceful-fs "^4.1.15"
+    hasha "^5.0.0"
     lodash.flattendeep "^4.4.0"
-    md5-hex "^2.0.0"
     release-zalgo "^1.0.0"
 
 package-json@^4.0.0:
@@ -3617,13 +3954,6 @@ parent-module@^1.0.0:
   dependencies:
     callsites "^3.0.0"
 
-parse-json@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.yarnpkg.com/parse-json/-/parse-json-4.0.0.tgz#be35f5425be1f7f6c747184f98a788cb99477ee0"
-  dependencies:
-    error-ex "^1.3.1"
-    json-parse-better-errors "^1.0.1"
-
 parseurl@~1.3.2:
   version "1.3.2"
   resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.2.tgz#fc289d4ed8993119460c156253262cdc8de65bf3"
@@ -3636,6 +3966,11 @@ path-exists@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/path-exists/-/path-exists-3.0.0.tgz#ce0ebeaa5f78cb18925ea7d810d7b59b010fd515"
 
+path-exists@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/path-exists/-/path-exists-4.0.0.tgz#513bdbe2d3b95d7762e8c1137efa195c6c61b5b3"
+  integrity sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w==
+
 path-is-absolute@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/path-is-absolute/-/path-is-absolute-1.0.1.tgz#174b9268735534ffbc7ace6bf53a5a9e1b5c5f5f"
@@ -3648,6 +3983,11 @@ path-key@^2.0.0, path-key@^2.0.1:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/path-key/-/path-key-2.0.1.tgz#411cadb574c5a140d3a4b1910d40d80cc9f40b40"
 
+path-key@^3.1.0:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/path-key/-/path-key-3.1.1.tgz#581f6ade658cbba65a0d3380de7753295054f375"
+  integrity sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==
+
 path-parse@^1.0.6:
   version "1.0.6"
   resolved "https://registry.yarnpkg.com/path-parse/-/path-parse-1.0.6.tgz#d62dbb5679405d72c4737ec58600e9ddcf06d24c"
@@ -3656,12 +3996,6 @@ path-to-regexp@0.1.7:
   version "0.1.7"
   resolved "https://registry.yarnpkg.com/path-to-regexp/-/path-to-regexp-0.1.7.tgz#df604178005f522f15eb4490e7247a1bfaa67f8c"
 
-path-type@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/path-type/-/path-type-3.0.0.tgz#cef31dc8e0a1a3bb0d105c0cd97cf3bf47f4e36f"
-  dependencies:
-    pify "^3.0.0"
-
 pathval@^1.0.0:
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/pathval/-/pathval-1.1.0.tgz#b942e6d4bde653005ef6b71361def8727d0645e0"
@@ -3670,6 +4004,11 @@ performance-now@^2.1.0:
   version "2.1.0"
   resolved "https://registry.yarnpkg.com/performance-now/-/performance-now-2.1.0.tgz#6309f4e0e5fa913ec1c69307ae364b4b377c9e7b"
 
+picomatch@^2.0.4:
+  version "2.2.2"
+  resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.2.2.tgz#21f333e9b6b8eaff02468f5146ea406d345f4dad"
+  integrity sha512-q0M/9eZHzmr0AulXyPwNfZjtwZ/RBZlbN3K3CErVrk50T2ASYI7Bye0EvekFY3IP1Nt2DHu0re+V2ZHIpMkuWg==
+
 pify@^2.0.0:
   version "2.3.0"
   resolved "https://registry.yarnpkg.com/pify/-/pify-2.3.0.tgz#ed141a6ac043a849ea588498e7dca8b15330e90c"
@@ -3688,11 +4027,12 @@ pinkie@^2.0.0:
   version "2.0.4"
   resolved "https://registry.yarnpkg.com/pinkie/-/pinkie-2.0.4.tgz#72556b80cfa0d48a974e80e77248e80ed4f7f870"
 
-pkg-dir@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/pkg-dir/-/pkg-dir-3.0.0.tgz#2749020f239ed990881b1f71210d51eb6523bea3"
+pkg-dir@^4.1.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/pkg-dir/-/pkg-dir-4.2.0.tgz#f099133df7ede422e81d1d8448270eeb3e4261f3"
+  integrity sha512-HRDzbaKjC+AOWVXxAU/x54COGeIv9eb+6CkDSQoNTt4XyWoIJvuPsXizxu/Fr23EiekbtZwmh1IcIG/l/a10GQ==
   dependencies:
-    find-up "^3.0.0"
+    find-up "^4.0.0"
 
 prelude-ls@~1.1.2:
   version "1.1.2"
@@ -3714,6 +4054,13 @@ process-nextick-args@~2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/process-nextick-args/-/process-nextick-args-2.0.0.tgz#a37d732f4271b4ab1ad070d35508e8290788ffaa"
 
+process-on-spawn@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/process-on-spawn/-/process-on-spawn-1.0.0.tgz#95b05a23073d30a17acfdc92a440efd2baefdc93"
+  integrity sha512-1WsPDsUSMmZH5LeMLegqkPDrsGgsWwk1Exipy2hvB0o/F0ASzbpIctSCcZIK1ykJvtTJULEH+20WOFjMvGnCTg==
+  dependencies:
+    fromentries "^1.2.0"
+
 progress@^2.0.0:
   version "2.0.3"
   resolved "https://registry.yarnpkg.com/progress/-/progress-2.0.3.tgz#7e8cf8d8f5b8f239c1bc68beb4eb78567d572ef8"
@@ -3905,21 +4252,6 @@ read-package-tree@^5.3.1:
     readdir-scoped-modules "^1.0.0"
     util-promisify "^2.1.0"
 
-read-pkg-up@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.yarnpkg.com/read-pkg-up/-/read-pkg-up-4.0.0.tgz#1b221c6088ba7799601c808f91161c66e58f8978"
-  dependencies:
-    find-up "^3.0.0"
-    read-pkg "^3.0.0"
-
-read-pkg@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/read-pkg/-/read-pkg-3.0.0.tgz#9cbc686978fee65d16c00e2b19c237fcf6e38389"
-  dependencies:
-    load-json-file "^4.0.0"
-    normalize-package-data "^2.3.2"
-    path-type "^3.0.0"
-
 read@1, read@~1.0.1, read@~1.0.7:
   version "1.0.7"
   resolved "https://registry.yarnpkg.com/read/-/read-1.0.7.tgz#b3da19bd052431a97671d44a42634adf710b40c4"
@@ -3975,6 +4307,13 @@ readdir-scoped-modules@^1.0.0, readdir-scoped-modules@^1.1.0:
     graceful-fs "^4.1.2"
     once "^1.3.0"
 
+readdirp@~3.2.0:
+  version "3.2.0"
+  resolved "https://registry.yarnpkg.com/readdirp/-/readdirp-3.2.0.tgz#c30c33352b12c96dfb4b895421a49fd5a9593839"
+  integrity sha512-crk4Qu3pmXwgxdSgGhgA/eXiJAPQiX4GMOZZMXnqKxHX7TaoL+3gQVo/WeuAiogr07DpnfjIMpXXa+PAIvwPGQ==
+  dependencies:
+    picomatch "^2.0.4"
+
 reflect-metadata@^0.1.10:
   version "0.1.12"
   resolved "https://registry.yarnpkg.com/reflect-metadata/-/reflect-metadata-0.1.12.tgz#311bf0c6b63cd782f228a81abe146a2bfa9c56f2"
@@ -4072,16 +4411,33 @@ require-main-filename@^1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/require-main-filename/-/require-main-filename-1.0.1.tgz#97f717b69d48784f5f526a6c5aa8ffdda055a4d1"
 
+require-main-filename@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/require-main-filename/-/require-main-filename-2.0.0.tgz#d0b329ecc7cc0f61649f62215be69af54aa8989b"
+  integrity sha512-NKN5kMDylKuldxYLSUfrbo5Tuzh4hd+2E8NPPX02mZtn1VuREQToYe/ZdlJy+J3uCpfaiGF05e7B8W0iXbQHmg==
+
 resolve-from@^4.0.0:
   version "4.0.0"
   resolved "https://registry.yarnpkg.com/resolve-from/-/resolve-from-4.0.0.tgz#4abcd852ad32dd7baabfe9b40e00a36db5f392e6"
 
+resolve-from@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/resolve-from/-/resolve-from-5.0.0.tgz#c35225843df8f776df21c57557bc087e9dfdfc69"
+  integrity sha512-qYg9KP24dD5qka9J47d0aVky0N+b4fTU89LN9iDnjB5waksiC49rvMB0PrUJQGoTmH50XPiqOvAjDfaijGxYZw==
+
 resolve@^1.10.0:
   version "1.13.1"
   resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.13.1.tgz#be0aa4c06acd53083505abb35f4d66932ab35d16"
   dependencies:
     path-parse "^1.0.6"
 
+resolve@^1.3.2:
+  version "1.15.1"
+  resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.15.1.tgz#27bdcdeffeaf2d6244b95bb0f9f4b4653451f3e8"
+  integrity sha512-84oo6ZTtoTUpjgNEr5SJyzQhzL72gaRodsSfyxC/AXRvwu0Yse9H8eF9IpGo7b8YetZhlI6v7ZQ6bKBFV/6S7w==
+  dependencies:
+    path-parse "^1.0.6"
+
 responselike@1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/responselike/-/responselike-1.0.2.tgz#918720ef3b631c5642be068f15ade5a46f4ba1e7"
@@ -4121,6 +4477,13 @@ rimraf@^2.6.1, rimraf@^2.6.2:
   dependencies:
     glob "^7.0.5"
 
+rimraf@^3.0.0:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-3.0.2.tgz#f1a5402ba6220ad52cc1282bac1ae3aa49fd061a"
+  integrity sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==
+  dependencies:
+    glob "^7.1.3"
+
 rmdir@^1.2.0:
   version "1.2.0"
   resolved "https://registry.yarnpkg.com/rmdir/-/rmdir-1.2.0.tgz#4fe0357cb06168c258e73e968093dc4e8a0f3253"
@@ -4183,7 +4546,7 @@ semver-diff@^2.0.0:
   version "5.6.0"
   resolved "https://registry.yarnpkg.com/semver/-/semver-5.6.0.tgz#7e74256fbaa49c75aa7c7a205cc22799cac80004"
 
-"semver@2.x || 3.x || 4 || 5", "semver@^2.3.0 || 3.x || 4 || 5", semver@^5.0.3, semver@^5.4.1, semver@^5.5.1, semver@^5.6.0, semver@^5.7.1:
+"semver@2.x || 3.x || 4 || 5", "semver@^2.3.0 || 3.x || 4 || 5", semver@^5.0.3, semver@^5.4.1, semver@^5.5.1, semver@^5.6.0, semver@^5.7.0, semver@^5.7.1:
   version "5.7.1"
   resolved "https://registry.yarnpkg.com/semver/-/semver-5.7.1.tgz#a954f931aeba508d307bbf069eff0c01c96116f7"
 
@@ -4191,7 +4554,7 @@ semver@^5.1.0, semver@^5.3.0:
   version "5.5.0"
   resolved "https://registry.yarnpkg.com/semver/-/semver-5.5.0.tgz#dc4bbc7a6ca9d916dee5d43516f0092b58f7b8ab"
 
-semver@^6.1.2, semver@^6.3.0:
+semver@^6.0.0, semver@^6.1.2, semver@^6.3.0:
   version "6.3.0"
   resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.0.tgz#ee0a64c8af5e8ceea67687b133761e1becbd1d3d"
 
@@ -4246,10 +4609,22 @@ shebang-command@^1.2.0:
   dependencies:
     shebang-regex "^1.0.0"
 
+shebang-command@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/shebang-command/-/shebang-command-2.0.0.tgz#ccd0af4f8835fbdc265b82461aaf0c36663f34ea"
+  integrity sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==
+  dependencies:
+    shebang-regex "^3.0.0"
+
 shebang-regex@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/shebang-regex/-/shebang-regex-1.0.0.tgz#da42f49740c0b42db2ca9728571cb190c98efea3"
 
+shebang-regex@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/shebang-regex/-/shebang-regex-3.0.0.tgz#ae16f1644d873ecad843b0307b143362d4c42172"
+  integrity sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==
+
 signal-exit@^3.0.0, signal-exit@^3.0.2:
   version "3.0.2"
   resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.2.tgz#b5fdc08f1287ea1178628e415e25132b73646c6d"
@@ -4316,20 +4691,21 @@ source-map@^0.5.0:
   version "0.5.7"
   resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.5.7.tgz#8a039d2d1021d22d1ea14c80d8ea468ba2ef3fcc"
 
-source-map@^0.6.0, source-map@^0.6.1, source-map@~0.6.1:
+source-map@^0.6.0, source-map@^0.6.1:
   version "0.6.1"
   resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
 
-spawn-wrap@^1.4.2:
-  version "1.4.2"
-  resolved "https://registry.yarnpkg.com/spawn-wrap/-/spawn-wrap-1.4.2.tgz#cff58e73a8224617b6561abdc32586ea0c82248c"
+spawn-wrap@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/spawn-wrap/-/spawn-wrap-2.0.0.tgz#103685b8b8f9b79771318827aa78650a610d457e"
+  integrity sha512-EeajNjfN9zMnULLwhZZQU3GWBoFNkbngTUPfaawT4RkMiviTxcX0qfhVbGey39mfctfDHkWtuecgQ8NJcyQWHg==
   dependencies:
-    foreground-child "^1.5.6"
-    mkdirp "^0.5.0"
-    os-homedir "^1.0.1"
-    rimraf "^2.6.2"
+    foreground-child "^2.0.0"
+    is-windows "^1.0.2"
+    make-dir "^3.0.0"
+    rimraf "^3.0.0"
     signal-exit "^3.0.2"
-    which "^1.3.0"
+    which "^2.0.1"
 
 spdx-correct@^3.0.0:
   version "3.1.0"
@@ -4461,7 +4837,7 @@ string-width@^1.0.1:
     is-fullwidth-code-point "^2.0.0"
     strip-ansi "^4.0.0"
 
-string-width@^3.0.0:
+string-width@^3.0.0, string-width@^3.1.0:
   version "3.1.0"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-3.1.0.tgz#22767be21b62af1081574306f69ac51b62203961"
   dependencies:
@@ -4469,7 +4845,7 @@ string-width@^3.0.0:
     is-fullwidth-code-point "^2.0.0"
     strip-ansi "^5.1.0"
 
-string-width@^4.1.0:
+string-width@^4.1.0, string-width@^4.2.0:
   version "4.2.0"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.0.tgz#952182c46cc7b2c313d1596e623992bd163b72b5"
   dependencies:
@@ -4523,7 +4899,7 @@ strip-ansi@^4.0.0:
   dependencies:
     ansi-regex "^3.0.0"
 
-strip-ansi@^5.1.0, strip-ansi@^5.2.0:
+strip-ansi@^5.0.0, strip-ansi@^5.1.0, strip-ansi@^5.2.0:
   version "5.2.0"
   resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-5.2.0.tgz#8c9a536feb6afc962bdfa5b104a5091c1ad9c0ae"
   dependencies:
@@ -4535,33 +4911,42 @@ strip-ansi@^6.0.0:
   dependencies:
     ansi-regex "^5.0.0"
 
-strip-bom@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/strip-bom/-/strip-bom-3.0.0.tgz#2334c18e9c759f7bdd56fdef7e9ae3d588e68ed3"
+strip-bom@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/strip-bom/-/strip-bom-4.0.0.tgz#9c3505c1db45bcedca3d9cf7a16f5c5aa3901878"
+  integrity sha512-3xurFv5tEgii33Zi8Jtp55wEIILR9eh34FAW00PZf+JnSsTmV/ioewSgQl97JHvgjoRGwPShsWm+IdrxB35d0w==
 
 strip-eof@^1.0.0:
   version "1.0.0"
   resolved "http://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz#bb43ff5598a6eb05d89b59fcd129c983313606bf"
 
+strip-json-comments@2.0.1, strip-json-comments@~2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
+
 strip-json-comments@^3.0.1:
   version "3.0.1"
   resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.0.1.tgz#85713975a91fb87bf1b305cca77395e40d2a64a7"
 
-strip-json-comments@~2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
+supports-color@6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-6.0.0.tgz#76cfe742cf1f41bb9b1c29ad03068c05b4c0e40a"
+  integrity sha512-on9Kwidc1IUQo+bQdhi8+Tijpo0e1SS6RoGo2guUwn5vdaxw8RXOF9Vb2ws+ihWOmh4JnCJOvaziZWP1VABaLg==
+  dependencies:
+    has-flag "^3.0.0"
 
-supports-color@5.4.0, supports-color@^5.3.0:
+supports-color@^5.3.0:
   version "5.4.0"
   resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.4.0.tgz#1c6b337402c2137605efe19f10fec390f6faab54"
   dependencies:
     has-flag "^3.0.0"
 
-supports-color@^5.4.0:
-  version "5.5.0"
-  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.5.0.tgz#e2e69a44ac8772f78a1ec0b35b689df6530efc8f"
+supports-color@^7.1.0:
+  version "7.1.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.1.0.tgz#68e32591df73e25ad1c4b49108a2ec507962bfd1"
+  integrity sha512-oRSIpR8pxT1Wr2FquTNnGet79b3BWljqOuoW/h4oBhxJ/HUbX5nX6JSruTkvXDCFMwDPvsaTTbvMLKZWSy0R5g==
   dependencies:
-    has-flag "^3.0.0"
+    has-flag "^4.0.0"
 
 table@^5.2.3:
   version "5.4.6"
@@ -4606,14 +4991,14 @@ term-size@^1.2.0:
   dependencies:
     execa "^0.7.0"
 
-test-exclude@^5.0.0:
-  version "5.0.0"
-  resolved "https://registry.yarnpkg.com/test-exclude/-/test-exclude-5.0.0.tgz#cdce7cece785e0e829cd5c2b27baf18bc583cfb7"
+test-exclude@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/test-exclude/-/test-exclude-6.0.0.tgz#04a8698661d805ea6fa293b6cb9e63ac044ef15e"
+  integrity sha512-cAGWPIyOHU6zlmg88jwm7VRyXnMN7iV68OGAbYDk/Mh/xC/pzVPlQtY6ngoIH/5/tciuhGfvESU8GrHrcxD56w==
   dependencies:
-    arrify "^1.0.1"
+    "@istanbuljs/schema" "^0.1.2"
+    glob "^7.1.4"
     minimatch "^3.0.4"
-    read-pkg-up "^4.0.0"
-    require-main-filename "^1.0.1"
 
 text-table@^0.2.0, text-table@~0.2.0:
   version "0.2.0"
@@ -4648,6 +5033,13 @@ to-fast-properties@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/to-fast-properties/-/to-fast-properties-2.0.0.tgz#dc5e698cbd079265bc73e0377681a4e4e83f616e"
 
+to-regex-range@^5.0.1:
+  version "5.0.1"
+  resolved "https://registry.yarnpkg.com/to-regex-range/-/to-regex-range-5.0.1.tgz#1648c44aae7c8d988a326018ed72f5b4dd0392e4"
+  integrity sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==
+  dependencies:
+    is-number "^7.0.0"
+
 topo@1.x.x:
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/topo/-/topo-1.1.0.tgz#e9d751615d1bb87dc865db182fa1ca0a5ef536d5"
@@ -4671,10 +5063,6 @@ tree-kill@^1.2.0:
   version "1.2.0"
   resolved "https://registry.yarnpkg.com/tree-kill/-/tree-kill-1.2.0.tgz#5846786237b4239014f05db156b643212d4c6f36"
 
-trim-right@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/trim-right/-/trim-right-1.0.1.tgz#cb2e1203067e0c8de1f614094b9fe45704ea6003"
-
 ts-deferred@^1.0.4:
   version "1.0.4"
   resolved "https://registry.yarnpkg.com/ts-deferred/-/ts-deferred-1.0.4.tgz#58145ebaeef5b8f2a290b8cec3d060839f9489c7"
@@ -4726,7 +5114,7 @@ type-detect@^4.0.0:
   version "4.0.8"
   resolved "https://registry.yarnpkg.com/type-detect/-/type-detect-4.0.8.tgz#7646fb5f18871cfbb7749e69bd39a6388eb7450c"
 
-type-fest@^0.8.1:
+type-fest@^0.8.0, type-fest@^0.8.1:
   version "0.8.1"
   resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-0.8.1.tgz#09e249ebde851d3b1e48d27c105444667f17b83d"
 
@@ -4737,6 +5125,13 @@ type-is@~1.6.15, type-is@~1.6.16:
     media-typer "0.3.0"
     mime-types "~2.1.18"
 
+typedarray-to-buffer@^3.1.5:
+  version "3.1.5"
+  resolved "https://registry.yarnpkg.com/typedarray-to-buffer/-/typedarray-to-buffer-3.1.5.tgz#a97ee7a9ff42691b9f783ff1bc5112fe3fca9080"
+  integrity sha512-zdu8XMNEDepKKR+XYOXAVPtWui0ly0NtohUscw+UmaHiAWT8hrV1rr//H6V+0DvJ3OQ19S979M0laLfX8rm82Q==
+  dependencies:
+    is-typedarray "^1.0.0"
+
 typedarray@^0.0.6:
   version "0.0.6"
   resolved "https://registry.yarnpkg.com/typedarray/-/typedarray-0.0.6.tgz#867ac74e3864187b1d3d47d996a78ec5c8830777"
@@ -4756,13 +5151,6 @@ typescript@^3.2.2:
   version "3.5.2"
   resolved "https://registry.yarnpkg.com/typescript/-/typescript-3.5.2.tgz#a09e1dc69bc9551cadf17dba10ee42cf55e5d56c"
 
-uglify-js@^3.1.4:
-  version "3.4.9"
-  resolved "https://registry.yarnpkg.com/uglify-js/-/uglify-js-3.4.9.tgz#af02f180c1207d76432e473ed24a28f4a782bae3"
-  dependencies:
-    commander "~2.17.1"
-    source-map "~0.6.1"
-
 uid-number@0.0.6:
   version "0.0.6"
   resolved "https://registry.yarnpkg.com/uid-number/-/uid-number-0.0.6.tgz#0ea10e8035e8eb5b8e4449f06da1c730663baa81"
@@ -4915,13 +5303,20 @@ which-module@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/which-module/-/which-module-2.0.0.tgz#d9ef07dce77b9902b8a3a8fa4b31c3e3f7e6e87a"
 
-which@^1.2.9, which@^1.3.0, which@^1.3.1:
+which@1.3.1, which@^1.2.9, which@^1.3.0, which@^1.3.1:
   version "1.3.1"
   resolved "https://registry.yarnpkg.com/which/-/which-1.3.1.tgz#a45043d54f5805316da8d62f9f50918d3da70b0a"
   dependencies:
     isexe "^2.0.0"
 
-wide-align@^1.1.0:
+which@^2.0.1:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/which/-/which-2.0.2.tgz#7c6a8dd0a636a0327e10b59c9286eee93f3f51b1"
+  integrity sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==
+  dependencies:
+    isexe "^2.0.0"
+
+wide-align@1.1.3, wide-align@^1.1.0:
   version "1.1.3"
   resolved "https://registry.yarnpkg.com/wide-align/-/wide-align-1.1.3.tgz#ae074e6bdc0c14a431e804e624549c633b000457"
   dependencies:
@@ -4937,10 +5332,6 @@ word-wrap@~1.2.3:
   version "1.2.3"
   resolved "https://registry.yarnpkg.com/word-wrap/-/word-wrap-1.2.3.tgz#610636f6b1f703891bd34771ccb17fb93b47079c"
 
-wordwrap@~0.0.2:
-  version "0.0.3"
-  resolved "https://registry.yarnpkg.com/wordwrap/-/wordwrap-0.0.3.tgz#a3d5da6cd5c0bc0008d37234bbaf1bed63059107"
-
 worker-farm@^1.6.0, worker-farm@^1.7.0:
   version "1.7.0"
   resolved "https://registry.yarnpkg.com/worker-farm/-/worker-farm-1.7.0.tgz#26a94c5391bbca926152002f69b84a4bf772e5a8"
@@ -4954,6 +5345,24 @@ wrap-ansi@^2.0.0:
     string-width "^1.0.1"
     strip-ansi "^3.0.1"
 
+wrap-ansi@^5.1.0:
+  version "5.1.0"
+  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-5.1.0.tgz#1fd1f67235d5b6d0fee781056001bfb694c03b09"
+  integrity sha512-QC1/iN/2/RPVJ5jYK8BGttj5z83LmSKmvbvrXPNCLZSEb32KKVDJDl/MOt2N01qU2H/FkzEa9PKto1BqDjtd7Q==
+  dependencies:
+    ansi-styles "^3.2.0"
+    string-width "^3.0.0"
+    strip-ansi "^5.0.0"
+
+wrap-ansi@^6.2.0:
+  version "6.2.0"
+  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53"
+  integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA==
+  dependencies:
+    ansi-styles "^4.0.0"
+    string-width "^4.1.0"
+    strip-ansi "^6.0.0"
+
 wrappy@1:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
@@ -4974,6 +5383,16 @@ write-file-atomic@^2.3.0, write-file-atomic@^2.4.3:
     imurmurhash "^0.1.4"
     signal-exit "^3.0.2"
 
+write-file-atomic@^3.0.0:
+  version "3.0.3"
+  resolved "https://registry.yarnpkg.com/write-file-atomic/-/write-file-atomic-3.0.3.tgz#56bd5c5a5c70481cd19c571bd39ab965a5de56e8"
+  integrity sha512-AvHcyZ5JnSfq3ioSyjrBkH9yW4m7Ayk8/9My/DD9onKeu/94fwrMocemO2QAJFAlnnDN+ZDS+ZjAR5ua1/PV/Q==
+  dependencies:
+    imurmurhash "^0.1.4"
+    is-typedarray "^1.0.0"
+    signal-exit "^3.0.2"
+    typedarray-to-buffer "^3.1.5"
+
 write@1.0.3:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/write/-/write-1.0.3.tgz#0800e14523b923a387e415123c865616aae0f5c3"
@@ -5024,28 +5443,52 @@ yallist@^3.0.3:
   version "3.1.1"
   resolved "https://registry.yarnpkg.com/yallist/-/yallist-3.1.1.tgz#dbb7daf9bfd8bac9ab45ebf602b8cbad0d5d08fd"
 
+yargs-parser@13.1.2, yargs-parser@^13.1.2:
+  version "13.1.2"
+  resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-13.1.2.tgz#130f09702ebaeef2650d54ce6e3e5706f7a4fb38"
+  integrity sha512-3lbsNRf/j+A4QuSZfDRA7HRSfWrzO0YjqTJd5kjAq37Zep1CEgaYmrH9Q3GwPiB9cHyd1Y1UwggGhJGoxipbzg==
+  dependencies:
+    camelcase "^5.0.0"
+    decamelize "^1.2.0"
+
+yargs-parser@^18.1.1:
+  version "18.1.2"
+  resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-18.1.2.tgz#2f482bea2136dbde0861683abea7756d30b504f1"
+  integrity sha512-hlIPNR3IzC1YuL1c2UwwDKpXlNFBqD1Fswwh1khz5+d8Cq/8yc/Mn0i+rQXduu8hcrFKvO7Eryk+09NecTQAAQ==
+  dependencies:
+    camelcase "^5.0.0"
+    decamelize "^1.2.0"
+
 yargs-parser@^9.0.2:
   version "9.0.2"
   resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-9.0.2.tgz#9ccf6a43460fe4ed40a9bb68f48d43b8a68cc077"
   dependencies:
     camelcase "^4.1.0"
 
-yargs@11.1.0:
-  version "11.1.0"
-  resolved "http://registry.npmjs.org/yargs/-/yargs-11.1.0.tgz#90b869934ed6e871115ea2ff58b03f4724ed2d77"
+yargs-unparser@1.6.0:
+  version "1.6.0"
+  resolved "https://registry.yarnpkg.com/yargs-unparser/-/yargs-unparser-1.6.0.tgz#ef25c2c769ff6bd09e4b0f9d7c605fb27846ea9f"
+  integrity sha512-W9tKgmSn0DpSatfri0nx52Joq5hVXgeLiqR/5G0sZNDoLZFOr/xjBUDcShCOGNsBnEMNo1KAMBkTej1Hm62HTw==
   dependencies:
-    cliui "^4.0.0"
-    decamelize "^1.1.1"
-    find-up "^2.1.0"
-    get-caller-file "^1.0.1"
-    os-locale "^2.0.0"
+    flat "^4.1.0"
+    lodash "^4.17.15"
+    yargs "^13.3.0"
+
+yargs@13.3.2, yargs@^13.3.0:
+  version "13.3.2"
+  resolved "https://registry.yarnpkg.com/yargs/-/yargs-13.3.2.tgz#ad7ffefec1aa59565ac915f82dccb38a9c31a2dd"
+  integrity sha512-AX3Zw5iPruN5ie6xGRIDgqkT+ZhnRlZMLMHAs8tg7nRruy2Nb+i5o9bwghAogtM08q1dpr2LVoS8KSTMYpWXUw==
+  dependencies:
+    cliui "^5.0.0"
+    find-up "^3.0.0"
+    get-caller-file "^2.0.1"
     require-directory "^2.1.1"
-    require-main-filename "^1.0.1"
+    require-main-filename "^2.0.0"
     set-blocking "^2.0.0"
-    string-width "^2.0.0"
+    string-width "^3.0.0"
     which-module "^2.0.0"
-    y18n "^3.2.1"
-    yargs-parser "^9.0.2"
+    y18n "^4.0.0"
+    yargs-parser "^13.1.2"
 
 yargs@^11.0.0:
   version "11.1.1"
@@ -5064,6 +5507,23 @@ yargs@^11.0.0:
     y18n "^3.2.1"
     yargs-parser "^9.0.2"
 
+yargs@^15.0.2:
+  version "15.3.1"
+  resolved "https://registry.yarnpkg.com/yargs/-/yargs-15.3.1.tgz#9505b472763963e54afe60148ad27a330818e98b"
+  integrity sha512-92O1HWEjw27sBfgmXiixJWT5hRBp2eobqXicLtPBIDBhYB+1HpwZlXmbW2luivBJHBzki+7VyCLRtAkScbTBQA==
+  dependencies:
+    cliui "^6.0.0"
+    decamelize "^1.2.0"
+    find-up "^4.1.0"
+    get-caller-file "^2.0.1"
+    require-directory "^2.1.1"
+    require-main-filename "^2.0.0"
+    set-blocking "^2.0.0"
+    string-width "^4.2.0"
+    which-module "^2.0.0"
+    y18n "^4.0.0"
+    yargs-parser "^18.1.1"
+
 yn@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/yn/-/yn-2.0.0.tgz#e5adabc8acf408f6385fc76495684c88e6af689a"